US20160004605A1 - Lightweight data reconstruction based on backup data - Google Patents

Abstract

A information management system allows a user to search through a secondary copy of data, such as a back up, archive, or snapshot without first retrieving the secondary copy of data. Instead, the system constructs lightweight data that can be displayed to a user as a representation of the search results. Lightweight data may include metadata or other information that identifies data included in the secondary copy of data. The lightweight data may be perceived as being the secondary copy of data and allow a user to browse through search results. Once the user identifies a search result that is of interest, information in the lightweight data can be used to retrieve the secondary copy of data. Because lightweight data may have a smaller file size than the file size of the secondary copy of data, the latency of performing a search may be reduced.

Description

BACKGROUND
• Businesses worldwide recognize the commercial value of their data and seek reliable, cost-effective ways to protect the information stored on their computer networks while minimizing impact on productivity. Protecting information is often part of a routine process that is performed within an organization.
• A company might back up critical computing systems such as databases, file servers, web servers, and so on as part of a daily, weekly, or monthly maintenance schedule. The company may similarly protect computing systems used by each of its employees, such as those used by an accounting department, marketing department, engineering department, and so forth.
• Given the rapidly expanding volume of data under management, companies also continue to seek innovative techniques for managing data growth, in addition to protecting data. For instance, companies often implement migration techniques for moving data to lower cost storage over time and data reduction techniques for reducing redundant data, pruning lower priority data, etc.
• Enterprises also increasingly view their stored data as a valuable asset. Along these lines, customers are looking for solutions that not only protect and manage, but also leverage their data. For instance, solutions providing data analysis capabilities, information management, improved data presentation and access features, and the like, are in increasing demand.
• As computers have become an integral part of business operations, many enterprises have come to rely on computer networks to store and backup their information. In addition, enterprises have come to rely on the ability to restore information quickly and efficiently when needed. In addition, enterprises are storing and backing up ever increasing amounts of data. Ensuring that the data can be searched and easily restored has become increasingly complex as the methods for storing and backing up data have become more sophisticated and the amount of data has increased significantly.
• The increased amount of data that is backed up and stored places heavy demands on system resources. Because accessing data in secondary storage can be relatively slow and resource intensive, these demands can be especially burdensome when a user attempts to search through or restore secondary copies of production data. Likewise, users may spend significant amounts of time trying to find and retrieve the desired data.
SUMMARY
• Systems and methods are described herein that allow a user to search through a secondary copy of data (e.g., a back up, archive, or snapshot copy of a file system) without first retrieving the secondary copy of data. Instead, the system constructs lightweight data that can be displayed to a user as a representation of the search results. Lightweight data may include metadata or other information that identifies data included in the secondary copy of data. The use of the lightweight data may be transparent to the user such that the user perceives the lightweight data as being the actual secondary copy data (e.g., when displayed). The user can browse through the search results, and once the user identifies a search result that is of interest, information in the lightweight data can be used to retrieve the actual secondary copy of data. Because lightweight data may have a smaller size than the full secondary copy of data, the latency of performing a search may be reduced. Moreover, the lightweight data takes up less space in primary storage than the full secondary copy, reducing primary storage costs.
• According to some additional aspects, lightweight data corresponding to only a selected relevant portion of the secondary copy, as specified by the filtering criteria, is forwarded to primary storage for display on the user computing device. This is in contrast to some previous systems, where stub files corresponding to all or substantially all of the data in a secondary copy (e.g., an archived copy) is present in primary storage, resulting in undesirably large amounts of stub file data.
BRIEF DESCRIPTION OF THE DRAWINGS
• FIG. 1A is a block diagram illustrating an exemplary information management system.
• FIG. 1B is a detailed view of a primary storage device, a secondary storage device, and some examples of primary data and secondary copy data.
• FIG. 1C is a block diagram of an exemplary information management system including a storage manager, one or more data agents, and one or more media agents.
• FIG. 1D is a block diagram illustrating a scalable information management system.
• FIG. 1E illustrates certain secondary copy operations according to an exemplary storage policy.
• FIGS. 1F-1H are block diagrams illustrating suitable data structures that may be employed by the information management system.
• FIG. 2A is a block diagram illustrating an example information management environment in which aspects of the inventive systems and methods may operate.
• FIG. 2B is another block diagram illustrating an example information management environment in which aspects of the inventive systems and methods may operate.
• FIG. 3A depicts an illustrative user interface that enables a user to search through copies of production data, such as backups, archives, and/or snapshots.
• FIG. 3B depicts an illustrative user interface that enables a user to browse through a lightweight data reconstruction of copies of production data.
• FIG. 3C depicts another illustrative user interface that enables a user to browse through a lightweight data reconstruction of copies of production data.
• FIG. 3D depicts another illustrative user interface that enables a user to browse through a lightweight data reconstruction of copies of production data.
• FIG. 3E depicts an illustrative user interface that enables a user to browse through a portion of a copy of production data and a lightweight data reconstruction of a portion of the copy of production data.
• FIG. 4 illustrates example copies of data objects stored in secondary storage, such as the one or more secondary storage devices ofFIGS. 2A-2B.
• FIG. 5 shows a flow diagram illustrative of embodiments of a routine implemented by a client computing device for restoring lightweight data.
• FIG. 6 shows a flow diagram illustrative of embodiments of a routine implemented by a media agent for constructing lightweight data.
• FIG. 7 shows a flow diagram illustrative of embodiments of a routine implemented by a client computing device for displaying a graphical depiction of lightweight data.
• FIG. 8 shows a flow diagram illustrative of embodiments of a routine implemented by a client computing device for creating a secondary copy of production data that can be reconstructed in a lightweight manner.
DETAILED DESCRIPTION
• Systems and methods are disclosed for searching through secondary copy data (e.g., a back up, archive, or snapshot copies of file system or other data) without first restoring or otherwise retrieving the secondary copy data itself. Instead, the system constructs lightweight data, e.g., based on metadata from the secondary copy, that can be displayed to a user as a representation of search results generated based on user-specified search criteria. This is in contrast to some previous systems, where full secondary copy data is simply restored upon user request, resulting in large amounts of restored data in primary storage, or where stub files corresponding to all of the data in a secondary copy is present in primary storage, resulting in undesirably large amounts of stub file data. Examples of such systems and methods are described in further detail herein, with particular reference toFIGS. 2A-8. Moreover, such lightweight data reconstruction may be configured and/or incorporated into information management systems such as those described herein inFIGS. 1A-1H.
Information Management System Overview
• With the increasing importance of protecting and leveraging data, organizations simply cannot afford to take the risk of losing critical data. Moreover, runaway data growth and other modern realities make protecting and managing data an increasingly difficult task. There is therefore a need for efficient, powerful, and user-friendly solutions for protecting and managing data.
• Depending on the size of the organization, there are typically many data production sources which are under the purview of tens, hundreds, or even thousands of employees or other individuals. In the past, individual employees were sometimes responsible for managing and protecting their data. A patchwork of hardware and software point solutions has been applied in other cases. These solutions were often provided by different vendors and had limited or no interoperability.
• Certain embodiments described herein provide systems and methods capable of addressing these and other shortcomings of prior approaches by implementing unified, organization-wide information management.FIG. 1A shows one suchinformation management system100, which generally includes combinations of hardware and software configured to protect and manage data and metadata, which is generated and used by the various computing devices ininformation management system100. The organization that employs theinformation management system100 may be a corporation or other business entity, non-profit organization, educational institution, household, governmental agency, or the like.
• Generally, the systems and associated components described herein may be compatible with and/or provide some or all of the functionality of the systems and corresponding components described in one or more of the following U.S. patents and patent application publications assigned to CommVault Systems, Inc., each of which is hereby incorporated in its entirety by reference herein:
• • U.S. Pat. No. 7,035,880, entitled “Modular Backup and Retrieval System Used in Conjunction With a Storage Area Network”;
  • U.S. Pat. No. 7,107,298, entitled “System And Method For Archiving Objects In An Information Store”;
  • U.S. Pat. No. 7,246,207, entitled “System and Method for Dynamically Performing Storage Operations in a Computer Network”;
  • U.S. Pat. No. 7,315,923, entitled “System And Method For Combining Data Streams In Pipelined Storage Operations In A Storage Network”;
  • U.S. Pat. No. 7,343,453, entitled “Hierarchical Systems and Methods for Providing a Unified View of Storage Information”;
  • U.S. Pat. No. 7,395,282, entitled “Hierarchical Backup and Retrieval System”;
  • U.S. Pat. No. 7,529,782, entitled “System and Methods for Performing a Snapshot and for Restoring Data”;
  • U.S. Pat. No. 7,617,262, entitled “System and Methods for Monitoring Application Data in a Data Replication System”;
  • U.S. Pat. No. 7,747,579, entitled “Metabase for Facilitating Data Classification”;
  • U.S. Pat. No. 8,156,086, entitled “Systems And Methods For Stored Data Verification”;
  • U.S. Pat. No. 8,170,995, entitled “Method and System for Offline Indexing of Content and Classifying Stored Data”;
  • U.S. Pat. No. 8,229,954, entitled “Managing Copies Of Data”;
  • U.S. Pat. No. 8,230,195, entitled “System And Method For Performing Auxiliary Storage Operations”;
  • U.S. Pat. No. 8,285,681, entitled “Data Object Store and Server for a Cloud Storage Environment, Including Data Deduplication and Data Management Across Multiple Cloud Storage Sites”;
  • U.S. Pat. No. 8,307,177, entitled “Systems And Methods For Management Of Virtualization Data”;
  • U.S. Pat. No. 8,364,652, entitled “Content-Aligned, Block-Based Deduplication”;
  • U.S. Pat. No. 8,578,120, entitled “Block-Level Single Instancing”;
  • U.S. Pat. Pub. No. 2006/0224846, entitled “System and Method to Support Single Instance Storage Operations”;
  • U.S. Pat. Pub. No. 2009/0319534, entitled “Application-Aware and Remote Single Instance Data Management”;
  • U.S. Pat. Pub. No. 2012/0150818, entitled “Client-Side Repository in a Networked Deduplicated Storage System”; and
  • U.S. Pat. Pub. No. 2012/0150826, entitled “Distributed Deduplicated Storage System”.
• Theinformation management system100 can include a variety of different computing devices. For instance, as will be described in greater detail herein, theinformation management system100 can include one or moreclient computing devices102 and secondarystorage computing devices106.
• Computing devices can include, without limitation, one or more: workstations, personal computers, desktop computers, or other types of generally fixed computing systems such as mainframe computers and minicomputers. Other computing devices can include mobile or portable computing devices, such as one or more laptops, tablet computers, personal data assistants, mobile phones (such as smartphones), and other mobile or portable computing devices such as embedded computers, set top boxes, vehicle-mounted devices, wearable computers, etc. Computing devices can include servers, such as mail servers, file servers, database servers, and web servers.
• In some cases, a computing device includes virtualized and/or cloud computing resources. For instance, one or more virtual machines may be provided to the organization by a third-party cloud service vendor. Or, in some embodiments, computing devices can include one or more virtual machine(s) running on a physical host computing device (or “host machine”) operated by the organization. As one example, the organization may use one virtual machine as a database server and another virtual machine as a mail server, both virtual machines operating on the same host machine.
• A virtual machine includes an operating system and associated virtual resources, and is hosted simultaneously with another operating system on a physical host computer (or host machine). A hypervisor (typically software, and also known in the art as a virtual machine monitor or a virtual machine manager or “VMM”) sits between the virtual machine and the hardware of the physical host machine. One example of hypervisor as virtualization software is ESX Server, by VMware, Inc. of Palo Alto, Calif.; other examples include Microsoft Virtual Server and Microsoft Windows Server Hyper-V, both by Microsoft Corporation of Redmond, Wash., and Sun xVM by Oracle America Inc. of Santa Clara, Calif. In some embodiments, the hypervisor may be firmware or hardware or a combination of software and/or firmware and/or hardware.
• The hypervisor provides to each virtual operating system virtual resources, such as a virtual processor, virtual memory, a virtual network device, and a virtual disk. Each virtual machine has one or more virtual disks. The hypervisor typically stores the data of virtual disks in files on the file system of the physical host machine, called virtual machine disk files (in the case of VMware virtual servers) or virtual hard disk image files (in the case of Microsoft virtual servers). For example, VMware's ESX Server provides the Virtual Machine File System (VMFS) for the storage of virtual machine disk files. A virtual machine reads data from and writes data to its virtual disk much the same way that an actual physical machine reads data from and writes data to an actual disk.
• Examples of techniques for implementing information management techniques in a cloud computing environment are described in U.S. Pat. No. 8,285,681, which is incorporated by reference herein. Examples of techniques for implementing information management techniques in a virtualized computing environment are described in U.S. Pat. No. 8,307,177, also incorporated by reference herein.
• Theinformation management system100 can also include a variety of storage devices, includingprimary storage devices104 andsecondary storage devices108, for example. Storage devices can generally be of any suitable type including, without limitation, disk drives, hard-disk arrays, semiconductor memory (e.g., solid state storage devices), network attached storage (NAS) devices, tape libraries or other magnetic, non-tape storage devices, optical media storage devices, DNA/RNA-based memory technology, combinations of the same, and the like. In some embodiments, storage devices can form part of a distributed file system. In some cases, storage devices are provided in a cloud (e.g., a private cloud or one operated by a third-party vendor). A storage device in some cases comprises a disk array or portion thereof.
• The illustratedinformation management system100 includes one or moreclient computing device102 having at least oneapplication110 executing thereon, and one or moreprimary storage devices104 storingprimary data112. The client computing device(s)102 and theprimary storage devices104 may generally be referred to in some cases as aprimary storage subsystem117. A computing device in aninformation management system100 that has adata agent142 installed and operating on it is generally referred to as a client computing device102 (or, in the context of a component of theinformation management system100 simply as a “client”).
• Depending on the context, the term “information management system” can refer to generally all of the illustrated hardware and software components. Or, in other instances, the term may refer to only a subset of the illustrated components.
• For instance, in some cases, theinformation management system100 generally refers to a combination of specialized components used to protect, move, manage, manipulate, analyze, and/or process data and metadata generated by theclient computing devices102. However, theinformation management system100 in some cases does not include the underlying components that generate and/or store theprimary data112, such as theclient computing devices102 themselves, theapplications110 and operating system operating on theclient computing devices102, and theprimary storage devices104. As an example, “information management system” may sometimes refer to one or more of the following components and corresponding data structures: storage managers, data agents, and media agents. These components will be described in further detail below.
Client Computing Devices
• There are typically a variety of sources in an organization that produce data to be protected and managed. As just one illustrative example, in a corporate environment such data sources can be employee workstations and company servers such as a mail server, a web server, a database server, a transaction server, or the like. In theinformation management system100, the data generation sources include the one or moreclient computing devices102.
• Theclient computing devices102 may include any of the types of computing devices described above, without limitation, and in some cases theclient computing devices102 are associated with one or more users and/or corresponding user accounts, of employees or other individuals.
• Theinformation management system100 generally addresses and handles the data management and protection needs for the data generated by theclient computing devices102. However, the use of this term does not imply that theclient computing devices102 cannot be “servers” in other respects. For instance, a particularclient computing device102 may act as a server with respect to other devices, such as otherclient computing devices102. As just a few examples, theclient computing devices102 can include mail servers, file servers, database servers, and web servers.
• Eachclient computing device102 may have one or more applications110 (e.g., software applications) executing thereon which generate and manipulate the data that is to be protected from loss and managed. Theapplications110 generally facilitate the operations of an organization (or multiple affiliated organizations), and can include, without limitation, mail server applications (e.g., Microsoft Exchange Server), file server applications, mail client applications (e.g., Microsoft Exchange Client), database applications (e.g., SQL, Oracle, SAP, Lotus Notes Database), word processing applications (e.g., Microsoft Word), spreadsheet applications, financial applications, presentation applications, graphics and/or video applications, browser applications, mobile applications, entertainment applications, and so on.
• Theclient computing devices102 can have at least one operating system (e.g., Microsoft Windows, Mac OS X, iOS, IBM z/OS, Linux, other Unix-based operating systems, etc.) installed thereon, which may support or host one or more file systems andother applications110.
• Theclient computing devices102 and other components ininformation management system100 can be connected to one another via one ormore communication pathways114. For example, afirst communication pathway114 may connect (or communicatively couple)client computing device102 and secondarystorage computing device106; asecond communication pathway114 may connectstorage manager140 andclient computing device102; and athird communication pathway114 may connectstorage manager140 and secondarystorage computing device106, etc. (see, e.g.,FIG. 1A andFIG. 1C). Thecommunication pathways114 can include one or more networks or other connection types including one or more of the following, without limitation: the Internet, a wide area network (WAN), a local area network (LAN), a Storage Area Network (SAN), a Fibre Channel connection, a Small Computer System Interface (SCSI) connection, a virtual private network (VPN), a token ring or TCP/IP based network, an intranet network, a point-to-point link, a cellular network, a wireless data transmission system, a two-way cable system, an interactive kiosk network, a satellite network, a broadband network, a baseband network, a neural network, a mesh network, an ad hoc network, other appropriate wired, wireless, or partially wired/wireless computer or telecommunications networks, combinations of the same or the like. Thecommunication pathways114 in some cases may also include application programming interfaces (APIs) including, e.g., cloud service provider APIs, virtual machine management APIs, and hosted service provider APIs. The underlying infrastructure ofcommunication paths114 may be wired and/or wireless, analog and/or digital, or any combination thereof; and the facilities used may be private, public, third-party provided, or any combination thereof, without limitation.
Primary Data and Exemplary Primary Storage Devices
• Primary data112 according to some embodiments is production data or other “live” data generated by the operating system and/orapplications110 operating on aclient computing device102. Theprimary data112 is generally stored on the primary storage device(s)104 and is organized via a file system supported by theclient computing device102. For instance, the client computing device(s)102 andcorresponding applications110 may create, access, modify, write, delete, and otherwise useprimary data112. In some cases, some or all of theprimary data112 can be stored in cloud storage resources (e.g.,primary storage device104 may be a cloud-based resource).
• Primary data112 is generally in the native format of thesource application110. According to certain aspects,primary data112 is an initial or first (e.g., created before any other copies or before at least one other copy) stored copy of data generated by thesource application110.Primary data112 in some cases is created substantially directly from data generated by thecorresponding source applications110.
• Theprimary storage devices104 storing theprimary data112 may be relatively fast and/or expensive technology (e.g., a disk drive, a hard-disk array, solid state memory, etc.). In addition,primary data112 may be highly changeable and/or may be intended for relatively short term retention (e.g., hours, days, or weeks).
• According to some embodiments, theclient computing device102 can accessprimary data112 from theprimary storage device104 by making conventional file system calls via the operating system.Primary data112 may include structured data (e.g., database files), unstructured data (e.g., documents), and/or semi-structured data. Some specific examples are described below with respect toFIG. 1B.
• It can be useful in performing certain tasks to organize theprimary data112 into units of different granularities. In general,primary data112 can include files, directories, file system volumes, data blocks, extents, or any other hierarchies or organizations of data objects. As used herein, a “data object” can refer to both (1) any file that is currently addressable by a file system or that was previously addressable by the file system (e.g., an archive file) and (2) a subset of such a file (e.g., a data block).
• As will be described in further detail, it can also be useful in performing certain functions of theinformation management system100 to access and modify metadata within theprimary data112. Metadata generally includes information about data objects or characteristics associated with the data objects. For simplicity herein, it is to be understood that, unless expressly stated otherwise, any reference toprimary data112 generally also includes its associated metadata, but references to the metadata do not include the primary data.
• Metadata can include, without limitation, one or more of the following: the data owner (e.g., the client or user that generates the data), the last modified time (e.g., the time of the most recent modification of the data object), a data object name (e.g., a file name), a data object size (e.g., a number of bytes of data), information about the content (e.g., an indication as to the existence of a particular search term), user-supplied tags, to/from information for email (e.g., an email sender, recipient, etc.), creation date, file type (e.g., format or application type), last accessed time, application type (e.g., type of application that generated the data object), location/network (e.g., a current, past or future location of the data object and network pathways to/from the data object), geographic location (e.g., GPS coordinates), frequency of change (e.g., a period in which the data object is modified), business unit (e.g., a group or department that generates, manages or is otherwise associated with the data object), aging information (e.g., a schedule, such as a time period, in which the data object is migrated to secondary or long term storage), boot sectors, partition layouts, file location within a file folder directory structure, user permissions, owners, groups, access control lists [ACLs]), system metadata (e.g., registry information), combinations of the same or other similar information related to the data object.
• In addition to metadata generated by or related to file systems and operating systems, some of theapplications110 and/or other components of theinformation management system100 maintain indices of metadata for data objects, e.g., metadata associated with individual email messages. Thus, each data object may be associated with corresponding metadata. The use of metadata to perform classification and other functions is described in greater detail below.
• Each of theclient computing devices102 are generally associated with and/or in communication with one or more of theprimary storage devices104 storing correspondingprimary data112. Aclient computing device102 may be considered to be “associated with” or “in communication with” aprimary storage device104 if it is capable of one or more of: routing and/or storing data (e.g., primary data112) to the particularprimary storage device104, coordinating the routing and/or storing of data to the particularprimary storage device104, retrieving data from the particularprimary storage device104, coordinating the retrieval of data from the particularprimary storage device104, and modifying and/or deleting data retrieved from the particularprimary storage device104.
• Theprimary storage devices104 can include any of the different types of storage devices described above, or some other kind of suitable storage device. Theprimary storage devices104 may have relatively fast I/O times and/or are relatively expensive in comparison to thesecondary storage devices108. For example, theinformation management system100 may generally regularly access data and metadata stored onprimary storage devices104, whereas data and metadata stored on thesecondary storage devices108 is accessed relatively less frequently.
• Primary storage device104 may be dedicated or shared. In some cases, eachprimary storage device104 is dedicated to an associatedclient computing device102. For instance, aprimary storage device104 in one embodiment is a local disk drive of a correspondingclient computing device102. In other cases, one or moreprimary storage devices104 can be shared by multipleclient computing devices102, e.g., via a network such as in a cloud storage implementation. As one example, aprimary storage device104 can be a disk array shared by a group ofclient computing devices102, such as one of the following types of disk arrays: EMC Clariion, EMC Symmetrix, EMC Celerra, Dell EqualLogic, IBM XIV, NetApp FAS, HP EVA, and HP 3PAR.
• Theinformation management system100 may also include hosted services (not shown), which may be hosted in some cases by an entity other than the organization that employs the other components of theinformation management system100. For instance, the hosted services may be provided by various online service providers to the organization. Such service providers can provide services including social networking services, hosted email services, or hosted productivity applications or other hosted applications). Hosted services may include software-as-a-service (SaaS), platform-as-a-service (PaaS), application service providers (ASPs), cloud services, or other mechanisms for delivering functionality via a network. As it provides services to users, each hosted service may generate additional data and metadata under management of theinformation management system100, e.g., asprimary data112. In some cases, the hosted services may be accessed using one of theapplications110. As an example, a hosted mail service may be accessed via browser running on aclient computing device102. The hosted services may be implemented in a variety of computing environments. In some cases, they are implemented in an environment having a similar arrangement to theinformation management system100, where various physical and logical components are distributed over a network.
Secondary Copies and Exemplary Secondary Storage Devices
• Theprimary data112 stored on theprimary storage devices104 may be compromised in some cases, such as when an employee deliberately or accidentally deletes or overwritesprimary data112 during their normal course of work. Or theprimary storage devices104 can be damaged, lost, or otherwise corrupted. For recovery and/or regulatory compliance purposes, it is therefore useful to generate copies of theprimary data112. Accordingly, theinformation management system100 includes one or more secondarystorage computing devices106 and one or moresecondary storage devices108 configured to create and store one or moresecondary copies116 of theprimary data112 and associated metadata. The secondarystorage computing devices106 and thesecondary storage devices108 may sometimes be referred to as asecondary storage subsystem118.
• Creation ofsecondary copies116 can help in search and analysis efforts and meet other information management goals, such as: restoring data and/or metadata if an original version (e.g., of primary data112) is lost (e.g., by deletion, corruption, or disaster); allowing point-in-time recovery; complying with regulatory data retention and electronic discovery (e-discovery) requirements; reducing utilized storage capacity; facilitating organization and search of data; improving user access to data files across multiple computing devices and/or hosted services; and implementing data retention policies.
• Theclient computing devices102 access or receiveprimary data112 and communicate the data, e.g., over one ormore communication pathways114, for storage in the secondary storage device(s)108.
• Asecondary copy116 can comprise a separate stored copy of application data that is derived from one or more earlier-created, stored copies (e.g., derived fromprimary data112 or another secondary copy116).Secondary copies116 can include point-in-time data, and may be intended for relatively long-term retention (e.g., weeks, months or years), before some or all of the data is moved to other storage or is discarded.
• In some cases, asecondary copy116 is a copy of application data created and stored subsequent to at least one other stored instance (e.g., subsequent to correspondingprimary data112 or to another secondary copy116), in a different storage device than at least one previous stored copy, and/or remotely from at least one previous stored copy. In some other cases, secondary copies can be stored in the same storage device asprimary data112 and/or other previously stored copies. For example, in one embodiment a disk array capable of performing hardware snapshots storesprimary data112 and creates and stores hardware snapshots of theprimary data112 assecondary copies116.Secondary copies116 may be stored in relatively slow and/or low cost storage (e.g., magnetic tape). Asecondary copy116 may be stored in a backup or archive format, or in some other format different than the native source application format or other primary data format.
• In some cases,secondary copies116 are indexed so users can browse and restore at another point in time. After creation of asecondary copy116 representative of certainprimary data112, a pointer or other location indicia (e.g., a stub) may be placed inprimary data112, or be otherwise associated withprimary data112 to indicate the current location on the secondary storage device(s)108 ofsecondary copy116.
• Since an instance of a data object or metadata inprimary data112 may change over time as it is modified by an application110 (or hosted service or the operating system), theinformation management system100 may create and manage multiplesecondary copies116 of a particular data object or metadata, each representing the state of the data object inprimary data112 at a particular point in time. Moreover, since an instance of a data object inprimary data112 may eventually be deleted from theprimary storage device104 and the file system, theinformation management system100 may continue to manage point-in-time representations of that data object, even though the instance inprimary data112 no longer exists.
• For virtualized computing devices the operating system andother applications110 of the client computing device(s)102 may execute within or under the management of virtualization software (e.g., a VMM), and the primary storage device(s)104 may comprise a virtual disk created on a physical storage device. Theinformation management system100 may createsecondary copies116 of the files or other data objects in a virtual disk file and/orsecondary copies116 of the entire virtual disk file itself (e.g., of an entire .vmdk file).
• Secondary copies116 may be distinguished from correspondingprimary data112 in a variety of ways, some of which will now be described. First, as discussed,secondary copies116 can be stored in a different format (e.g., backup, archive, or other non-native format) thanprimary data112. For this or other reasons,secondary copies116 may not be directly useable by theapplications110 of theclient computing device102, e.g., via standard system calls or otherwise without modification, processing, or other intervention by theinformation management system100.
• Secondary copies116 are also in some embodiments stored on asecondary storage device108 that is inaccessible to theapplications110 running on the client computing devices102 (and/or hosted services). Somesecondary copies116 may be “offline copies,” in that they are not readily available (e.g., not mounted to tape or disk). Offline copies can include copies of data that theinformation management system100 can access without human intervention (e.g., tapes within an automated tape library, but not yet mounted in a drive), and copies that theinformation management system100 can access only with at least some human intervention (e.g., tapes located at an offsite storage site).
The Use of Intermediate Devices for Creating Secondary Copies
• Creating secondary copies can be a challenging task. For instance, there can be hundreds or thousands ofclient computing devices102 continually generating large volumes ofprimary data112 to be protected. Also, there can be significant overhead involved in the creation ofsecondary copies116. Moreover,secondary storage devices108 may be special purpose components, and interacting with them can require specialized intelligence.
• In some cases, theclient computing devices102 interact directly with thesecondary storage device108 to create thesecondary copies116. However, in view of the factors described above, this approach can negatively impact the ability of theclient computing devices102 to serve theapplications110 and produceprimary data112. Further, theclient computing devices102 may not be optimized for interaction with thesecondary storage devices108.
• Thus, in some embodiments, theinformation management system100 includes one or more software and/or hardware components which generally act as intermediaries between theclient computing devices102 and thesecondary storage devices108. In addition to off-loading certain responsibilities from theclient computing devices102, these intermediate components can provide other benefits. For instance, as discussed further below with respect toFIG. 1D, distributing some of the work involved in creatingsecondary copies116 can enhance scalability.
• The intermediate components can include one or more secondarystorage computing devices106 as shown inFIG. 1A and/or one or more media agents, which can be software modules operating on corresponding secondary storage computing devices106 (or other appropriate computing devices). Media agents are discussed below (e.g., with respect toFIGS. 1C-1E).
• The secondary storage computing device(s)106 can comprise any of the computing devices described above, without limitation. In some cases, the secondary storage computing device(s)106 include specialized hardware and/or software componentry for interacting with thesecondary storage devices108.
• To create asecondary copy116 involving the copying of data from theprimary storage subsystem117 to thesecondary storage subsystem118, theclient computing device102 in some embodiments communicates theprimary data112 to be copied (or a processed version thereof) to the designated secondarystorage computing device106, via thecommunication pathway114. The secondarystorage computing device106 in turn conveys the received data (or a processed version thereof) to thesecondary storage device108. In some such configurations, thecommunication pathway114 between theclient computing device102 and the secondarystorage computing device106 comprises a portion of a LAN, WAN or SAN. In other cases, at least someclient computing devices102 communicate directly with the secondary storage devices108 (e.g., via Fibre Channel or SCSI connections). In some other cases, one or moresecondary copies116 are created from existing secondary copies, such as in the case of an auxiliary copy operation, described in greater detail below.
Exemplary Primary Data and an Exemplary Secondary Copy
• FIG. 1B is a detailed view showing some specific examples of primary data stored on the primary storage device(s)104 and secondary copy data stored on the secondary storage device(s)108, with other components in the system removed for the purposes of illustration. Stored on the primary storage device(s)104 are primary data objects includingword processing documents119A-B,spreadsheets120,presentation documents122, video files124, image files126, email mailboxes128 (andcorresponding email messages129A-C), html/xml or other types of markup language files130,databases132 and corresponding tables orother data structures133A-133C).
• Some or all primary data objects are associated with corresponding metadata (e.g., “Meta1-11”), which may include file system metadata and/or application specific metadata. Stored on the secondary storage device(s)108 are secondary copy data objects134A-C which may include copies of or otherwise represent corresponding primary data objects and metadata.
• As shown, the secondary copy data objects134A-C can individually represent more than one primary data object. For example, secondary copy data object134A represents three separate primary data objects133C,122, and129C (represented as133C′,122′, and129C′, respectively, and accompanied by the corresponding metadata Meta11, Meta3, and Meta8, respectively). Moreover, as indicated by the prime mark (′), a secondary copy object may store a representation of a primary data object and/or metadata differently than the original format, e.g., in a compressed, encrypted, deduplicated, or other modified format. Likewise, secondary data object134B represents primary data objects120,133B, and119A as120′,133B′, and119A′, respectively and accompanied by corresponding metadata Meta2, Meta10, and Meta1, respectively. Also, secondary data object134C represents primary data objects133A,1196, and129A as133A′,119B′, and129A′, respectively, accompanied by corresponding metadata Meta9, Meta5, and Meta6, respectively.
Exemplary Information Management System Architecture
• Theinformation management system100 can incorporate a variety of different hardware and software components, which can in turn be organized with respect to one another in many different configurations, depending on the embodiment. There are critical design choices involved in specifying the functional responsibilities of the components and the role of each component in theinformation management system100. For instance, as will be discussed, such design choices can impact performance as well as the adaptability of theinformation management system100 to data growth or other changing circumstances.
• FIG. 1C shows aninformation management system100 designed according to these considerations and which includes:storage manager140, a centralized storage and/or information manager that is configured to perform certain control functions, one ormore data agents142 executing on the client computing device(s)102 configured to processprimary data112, and one ormore media agents144 executing on the one or more secondarystorage computing devices106 for performing tasks involving thesecondary storage devices108. While distributing functionality amongst multiple computing devices can have certain advantages, in other contexts it can be beneficial to consolidate functionality on the same computing device. As such, in various other embodiments, one or more of the components shown inFIG. 1C as being implemented on separate computing devices are implemented on the same computing device. In one configuration, astorage manager140, one ormore data agents142, and one ormore media agents144 are all implemented on the same computing device. In another embodiment, one ormore data agents142 and one ormore media agents144 are implemented on the same computing device, while thestorage manager140 is implemented on a separate computing device, etc. without limitation.
Storage Manager
• As noted, the number of components in theinformation management system100 and the amount of data under management can be quite large. Managing the components and data is therefore a significant task, and a task that can grow in an often unpredictable fashion as the quantity of components and data scale to meet the needs of the organization. For these and other reasons, according to certain embodiments, responsibility for controlling theinformation management system100, or at least a significant portion of that responsibility, is allocated to thestorage manager140. By distributing control functionality in this manner, thestorage manager140 can be adapted independently according to changing circumstances. Moreover, a computing device for hosting thestorage manager140 can be selected to best suit the functions of thestorage manager140. These and other advantages are described in further detail below with respect toFIG. 1D.
• Thestorage manager140 may be a software module or other application, which, in some embodiments operates in conjunction with one or more associated data structures, e.g., a dedicated database (e.g., management database146). In some embodiments,storage manager140 is a computing device comprising circuitry for executing computer instructions and performs the functions described herein. The storage manager generally initiates, performs, coordinates and/or controls storage and other information management operations performed by theinformation management system100, e.g., to protect and control theprimary data112 andsecondary copies116 of data and metadata. In general,storage manager100 may be said to manageinformation management system100, which includes managing the constituent components, e.g., data agents and media agents, etc.
• As shown by the dashed arrowedlines114 inFIG. 1C, thestorage manager140 may communicate with and/or control some or all elements of theinformation management system100, such as thedata agents142 andmedia agents144. Thus, in certain embodiments, control information originates from thestorage manager140 and status reporting is transmitted tostorage manager140 by the various managed components, whereas payload data and payload metadata is generally communicated between thedata agents142 and the media agents144 (or otherwise between the client computing device(s)102 and the secondary storage computing device(s)106), e.g., at the direction of and under the management of thestorage manager140. Control information can generally include parameters and instructions for carrying out information management operations, such as, without limitation, instructions to perform a task associated with an operation, timing information specifying when to initiate a task associated with an operation, data path information specifying what components to communicate with or access in carrying out an operation, and the like. Payload data, on the other hand, can include the actual data involved in the storage operation, such as content data written to asecondary storage device108 in a secondary copy operation. Payload metadata can include any of the types of metadata described herein, and may be written to a storage device along with the payload content data (e.g., in the form of a header).
• In other embodiments, some information management operations are controlled by other components in the information management system100 (e.g., the media agent(s)144 or data agent(s)142), instead of or in combination with thestorage manager140.
• According to certain embodiments, thestorage manager140 provides one or more of the following functions:
• • initiating execution of secondary copy operations;
  • managingsecondary storage devices108 and inventory/capacity of the same;
  • reporting, searching, and/or classification of data in theinformation management system100;
  • allocatingsecondary storage devices108 for secondary storage operations;
  • monitoring completion of and providing status reporting related to secondary storage operations;
  • tracking age information relating tosecondary copies116,secondary storage devices108, and comparing the age information against retention guidelines;
  • tracking movement of data within theinformation management system100;
  • tracking logical associations between components in theinformation management system100;
  • protecting metadata associated with theinformation management system100; and
  • implementing operations management functionality.
• Thestorage manager140 may maintain a database146 (or “storage manager database146” or “management database146”) of management-related data andinformation management policies148. Thedatabase146 may include a management index150 (or “index150”) or other data structure that stores logical associations between components of the system, user preferences and/or profiles (e.g., preferences regarding encryption, compression, or deduplication of primary or secondary copy data, preferences regarding the scheduling, type, or other aspects of primary or secondary copy or other operations, mappings of particular information management users or user accounts to certain computing devices or other components, etc.), management tasks, media containerization, or other useful data. For example, thestorage manager140 may use theindex150 to track logical associations betweenmedia agents144 andsecondary storage devices108 and/or movement of data fromprimary storage devices104 tosecondary storage devices108. For instance, theindex150 may store data associating aclient computing device102 with aparticular media agent144 and/orsecondary storage device108, as specified in an information management policy148 (e.g., a storage policy, which is defined in more detail below).
• Administrators and other people may be able to configure and initiate certain information management operations on an individual basis. But while this may be acceptable for some recovery operations or other relatively less frequent tasks, it is often not workable for implementing on-going organization-wide data protection and management. Thus, theinformation management system100 may utilizeinformation management policies148 for specifying and executing information management operations (e.g., on an automated basis). Generally, aninformation management policy148 can include a data structure or other information source that specifies a set of parameters (e.g., criteria and rules) associated with storage or other information management operations.
• Thestorage manager database146 may maintain theinformation management policies148 and associated data, although theinformation management policies148 can be stored in any appropriate location. For instance, aninformation management policy148 such as a storage policy may be stored as metadata in amedia agent database152 or in a secondary storage device108 (e.g., as an archive copy) for use in restore operations or other information management operations, depending on the embodiment.Information management policies148 are described further below.
• According to certain embodiments, thestorage manager database146 comprises a relational database (e.g., an SQL database) for tracking metadata, such as metadata associated with secondary copy operations (e.g., whatclient computing devices102 and corresponding data were protected). This and other metadata may additionally be stored in other locations, such as at the secondarystorage computing devices106 or on thesecondary storage devices108, allowing data recovery without the use of thestorage manager140 in some cases.
• As shown, thestorage manager140 may include ajobs agent156, auser interface158, and amanagement agent154, all of which may be implemented as interconnected software modules or application programs.
• Thejobs agent156 in some embodiments initiates, controls, and/or monitors the status of some or all storage or other information management operations previously performed, currently being performed, or scheduled to be performed by theinformation management system100. For instance, thejobs agent156 may accessinformation management policies148 to determine when and how to initiate and control secondary copy and other information management operations, as will be discussed further.
• Theuser interface158 may include information processing and display software, such as a graphical user interface (“GUI”), an application program interface (“API”), or other interactive interface(s) through which users and system processes can retrieve information about the status of information management operations (e.g., storage operations) or issue instructions to theinformation management system100 and its constituent components. Via theuser interface158, users may optionally issue instructions to the components in theinformation management system100 regarding performance of storage and recovery operations. For example, a user may modify a schedule concerning the number of pending secondary copy operations. As another example, a user may employ the GUI to view the status of pending storage operations or to monitor the status of certain components in the information management system100 (e.g., the amount of capacity left in a storage device).
• An “information management cell” (or “storage operation cell” or “cell”) may generally include a logical and/or physical grouping of a combination of hardware and software components associated with performing information management operations on electronic data, typically onestorage manager140 and at least one client computing device102 (comprising data agent(s)142) and at least onemedia agent144. For instance, the components shown inFIG. 1C may together form an information management cell. Multiple cells may be organized hierarchically. With this configuration, cells may inherit properties from hierarchically superior cells or be controlled by other cells in the hierarchy (automatically or otherwise). Alternatively, in some embodiments, cells may inherit or otherwise be associated with information management policies, preferences, information management metrics, or other properties or characteristics according to their relative position in a hierarchy of cells. Cells may also be delineated and/or organized hierarchically according to function, geography, architectural considerations, or other factors useful or desirable in performing information management operations. A first cell may represent a geographic segment of an enterprise, such as a Chicago office, and a second cell may represent a different geographic segment, such as a New York office. Other cells may represent departments within a particular office. Where delineated by function, a first cell may perform one or more first types of information management operations (e.g., one or more first types of secondary or other copies), and a second cell may perform one or more second types of information management operations (e.g., one or more second types of secondary or other copies).
• Thestorage manager140 may also track information that permits it to select, designate, or otherwise identify content indices, deduplication databases, or similar databases or resources or data sets within its information management cell (or another cell) to be searched in response to certain queries. Such queries may be entered by the user via interaction with theuser interface158. In general, themanagement agent154 allows multiple information management cells to communicate with one another. For example, theinformation management system100 in some cases may be one information management cell of a network of multiple cells adjacent to one another or otherwise logically related in a WAN or LAN. With this arrangement, the cells may be connected to one another throughrespective management agents154.
• For instance, themanagement agent154 can provide thestorage manager140 with the ability to communicate with other components within the information management system100 (and/or other cells within a larger information management system) via network protocols and application programming interfaces (“APIs”) including, e.g., HTTP, HTTPS, FTP, REST, virtualization software APIs, cloud service provider APIs, and hosted service provider APIs. Inter-cell communication and hierarchy is described in greater detail in e.g., U.S. Pat. Nos. 7,747,579 and 7,343,453, which are incorporated by reference herein.
Data Agents
• As discussed, a variety of different types ofapplications110 can operate on a givenclient computing device102, including operating systems, database applications, e-mail applications, and virtual machines, just to name a few. And, as part of the process of creating and restoringsecondary copies116, theclient computing devices102 may be tasked with processing and preparing theprimary data112 from these variousdifferent applications110. Moreover, the nature of the processing/preparation can differ across clients and application types, e.g., due to inherent structural and formatting differences amongapplications110.
• The one or more data agent(s)142 are therefore advantageously configured in some embodiments to assist in the performance of information management operations based on the type of data that is being protected, at a client-specific and/or application-specific level.
• Thedata agent142 may be a software module or component that is generally responsible for managing, initiating, or otherwise assisting in the performance of information management operations ininformation management system100, generally as directed bystorage manager140. For instance, thedata agent142 may take part in performing data storage operations such as the copying, archiving, migrating, and/or replicating ofprimary data112 stored in the primary storage device(s)104. Thedata agent142 may receive control information from thestorage manager140, such as commands to transfer copies of data objects, metadata, and other payload data to themedia agents144.
• In some embodiments, adata agent142 may be distributed between theclient computing device102 and storage manager140 (and any other intermediate components) or may be deployed from a remote location or its functions approximated by a remote process that performs some or all of the functions ofdata agent142. In addition, adata agent142 may perform some functions provided by amedia agent144, or may perform other functions such as encryption and deduplication.
• As indicated, eachdata agent142 may be specialized for aparticular application110, and the system can employ multiple application-specific data agents142, each of which may perform information management operations (e.g., perform backup, migration, and data recovery) associated with adifferent application110. For instance, differentindividual data agents142 may be designed to handle Microsoft Exchange data, Lotus Notes data, Microsoft Windows file system data, Microsoft Active Directory Objects data, SQL Server data, SharePoint data, Oracle database data, SAP database data, virtual machines and/or associated data, and other types of data.
• A file system data agent, for example, may handle data files and/or other file system information. If aclient computing device102 has two or more types of data, aspecialized data agent142 may be used for each data type to copy, archive, migrate, and restore theclient computing device102 data. For example, to backup, migrate, and/or restore all of the data on a Microsoft Exchange server, theclient computing device102 may use a Microsoft ExchangeMailbox data agent142 to back up the Exchange mailboxes, a Microsoft ExchangeDatabase data agent142 to back up the Exchange databases, a Microsoft Exchange PublicFolder data agent142 to back up the Exchange Public Folders, and a Microsoft Windows FileSystem data agent142 to back up the file system of theclient computing device102. In such embodiments, thesespecialized data agents142 may be treated as fourseparate data agents142 even though they operate on the sameclient computing device102.
• Other embodiments may employ one or moregeneric data agents142 that can handle and process data from two or moredifferent applications110, or that can handle and process multiple data types, instead of or in addition to usingspecialized data agents142. For example, onegeneric data agent142 may be used to back up, migrate and restore Microsoft Exchange Mailbox data and Microsoft Exchange Database data while another generic data agent may handle Microsoft Exchange Public Folder data and Microsoft Windows File System data.
• Eachdata agent142 may be configured to access data and/or metadata stored in the primary storage device(s)104 associated with thedata agent142 and process the data as appropriate. For example, during a secondary copy operation, thedata agent142 may arrange or assemble the data and metadata into one or more files having a certain format (e.g., a particular backup or archive format) before transferring the file(s) to amedia agent144 or other component. The file(s) may include a list of files or other metadata. Eachdata agent142 can also assist in restoring data or metadata toprimary storage devices104 from asecondary copy116. For instance, thedata agent142 may operate in conjunction with thestorage manager140 and one or more of themedia agents144 to restore data from secondary storage device(s)108.
Media Agents
• As indicated above with respect toFIG. 1A, off-loading certain responsibilities from theclient computing devices102 to intermediate components such as the media agent(s)144 can provide a number of benefits including improvedclient computing device102 operation, faster secondary copy operation performance, and enhanced scalability. In one specific example which will be discussed below in further detail, themedia agent144 can act as a local cache of copied data and/or metadata that it has stored to the secondary storage device(s)108, providing improved restore capabilities.
• Generally speaking, amedia agent144 may be implemented as a software module that manages, coordinates, and facilitates the transmission of data, as directed by thestorage manager140, between aclient computing device102 and one or moresecondary storage devices108. Whereas thestorage manager140 controls the operation of theinformation management system100, themedia agent144 generally provides a portal tosecondary storage devices108. For instance, other components in the system interact with themedia agents144 to gain access to data stored on thesecondary storage devices108, whether it be for the purposes of reading, writing, modifying, or deleting data. Moreover, as will be described further,media agents144 can generate and store information relating to characteristics of the stored data and/or metadata, or can generate and store other types of information that generally provides insight into the contents of thesecondary storage devices108.
• Media agents144 can comprise separate nodes in the information management system100 (e.g., nodes that are separate from theclient computing devices102,storage manager140, and/or secondary storage devices108). In general, a node within theinformation management system100 can be a logically and/or physically separate component, and in some cases is a component that is individually addressable or otherwise identifiable. In addition, eachmedia agent144 may operate on a dedicated secondarystorage computing device106 in some cases, while in other embodiments a plurality ofmedia agents144 operate on the same secondarystorage computing device106.
• A media agent144 (and corresponding media agent database152) may be considered to be “associated with” a particularsecondary storage device108 if thatmedia agent144 is capable of one or more of: routing and/or storing data to the particularsecondary storage device108, coordinating the routing and/or storing of data to the particularsecondary storage device108, retrieving data from the particularsecondary storage device108, coordinating the retrieval of data from a particularsecondary storage device108, and modifying and/or deleting data retrieved from the particularsecondary storage device108.
• While media agent(s)144 are generally associated with one or moresecondary storage devices108, one ormore media agents144 in certain embodiments are physically separate from thesecondary storage devices108. For instance, themedia agents144 may operate on secondarystorage computing devices106 having different housings or packages than thesecondary storage devices108. In one example, amedia agent144 operates on a first server computer and is in communication with a secondary storage device(s)108 operating in a separate, rack-mounted RAID-based system.
• Where theinformation management system100 includes multiple media agents144 (see, e.g.,FIG. 1D), afirst media agent144 may provide failover functionality for a second, failedmedia agent144. In addition,media agents144 can be dynamically selected for storage operations to provide load balancing. Failover and load balancing are described in greater detail below.
• In operation, amedia agent144 associated with a particularsecondary storage device108 may instruct thesecondary storage device108 to perform an information management operation. For instance, amedia agent144 may instruct a tape library to use a robotic arm or other retrieval means to load or eject a certain storage media, and to subsequently archive, migrate, or retrieve data to or from that media, e.g., for the purpose of restoring the data to aclient computing device102. As another example, asecondary storage device108 may include an array of hard disk drives or solid state drives organized in a RAID configuration, and themedia agent144 may forward a logical unit number (LUN) and other appropriate information to the array, which uses the received information to execute the desired storage operation. Themedia agent144 may communicate with asecondary storage device108 via a suitable communications link, such as a SCSI or Fiber Channel link.
• As shown, eachmedia agent144 may maintain an associatedmedia agent database152. Themedia agent database152 may be stored in a disk or other storage device (not shown) that is local to the secondarystorage computing device106 on which themedia agent144 operates. In other cases, themedia agent database152 is stored remotely from the secondarystorage computing device106.
• Themedia agent database152 can include, among other things, an index153 (see, e.g.,FIG. 1C), which comprises information generated during secondary copy operations and other storage or information management operations. Theindex153 provides amedia agent144 or other component with a fast and efficient mechanism for locatingsecondary copies116 or other data stored in thesecondary storage devices108. In some cases, theindex153 does not form a part of and is instead separate from themedia agent database152.
• Amedia agent index153 or other data structure associated with theparticular media agent144 may include information about the stored data. For instance, for eachsecondary copy116, theindex153 may include metadata such as a list of the data objects (e.g., files/subdirectories, database objects, mailbox objects, etc.), a path to thesecondary copy116 on the correspondingsecondary storage device108, location information indicating where the data objects are stored in thesecondary storage device108, when the data objects were created or modified, etc. Thus, theindex153 includes metadata associated with thesecondary copies116 that is readily available for use without having to be first retrieved from thesecondary storage device108. In yet further embodiments, some or all of the information inindex153 may instead or additionally be stored along with the secondary copies of data in asecondary storage device108. In some embodiments, thesecondary storage devices108 can include sufficient information to perform a “bare metal restore”, where the operating system of a failedclient computing device102 or other restore target is automatically rebuilt as part of a restore operation.
• Because theindex153 maintained in themedia agent database152 may operate as a cache, it can also be referred to as “an index cache.” In such cases, information stored in theindex cache153 typically comprises data that reflects certain particulars about storage operations that have occurred relatively recently. After some triggering event, such as after a certain period of time elapses, or theindex cache153 reaches a particular size, theindex cache153 may be copied or migrated to a secondary storage device(s)108. This information may need to be retrieved and uploaded back into theindex cache153 or otherwise restored to amedia agent144 to facilitate retrieval of data from the secondary storage device(s)108. In some embodiments, the cached information may include format or containerization information related to archives or other files stored on the storage device(s)108. In this manner, theindex cache153 allows for accelerated restores.
• In some alternative embodiments themedia agent144 generally acts as a coordinator or facilitator of storage operations betweenclient computing devices102 and correspondingsecondary storage devices108, but does not actually write the data to thesecondary storage device108. For instance, the storage manager140 (or the media agent144) may instruct aclient computing device102 andsecondary storage device108 to communicate with one another directly. In such a case theclient computing device102 transmits the data directly or via one or more intermediary components to thesecondary storage device108 according to the received instructions, and vice versa. In some such cases, themedia agent144 may still receive, process, and/or maintain metadata related to the storage operations. Moreover, in these embodiments, the payload data can flow through themedia agent144 for the purposes of populating theindex cache153 maintained in themedia agent database152, but not for writing to thesecondary storage device108.
• Themedia agent144 and/or other components such as thestorage manager140 may in some cases incorporate additional functionality, such as data classification, content indexing, deduplication, encryption, compression, and the like. Further details regarding these and other functions are described below.
Distributed, Scalable Architecture
• As described, certain functions of theinformation management system100 can be distributed amongst various physical and/or logical components in the system. For instance, one or more of thestorage manager140,data agents142, andmedia agents144 may operate on computing devices that are physically separate from one another. This architecture can provide a number of benefits.
• For instance, hardware and software design choices for each distributed component can be targeted to suit its particular function. Thesecondary computing devices106 on which themedia agents144 operate can be tailored for interaction with associatedsecondary storage devices108 and provide fast index cache operation, among other specific tasks. Similarly, the client computing device(s)102 can be selected to effectively service theapplications110 thereon, in order to efficiently produce and storeprimary data112.
• Moreover, in some cases, one or more of the individual components in theinformation management system100 can be distributed to multiple, separate computing devices. As one example, for large file systems where the amount of data stored in themanagement database146 is relatively large, thedatabase146 may be migrated to or otherwise reside on a specialized database server (e.g., an SQL server) separate from a server that implements the other functions of thestorage manager140. This distributed configuration can provide added protection because thedatabase146 can be protected with standard database utilities (e.g., SQL log shipping or database replication) independent from other functions of thestorage manager140. Thedatabase146 can be efficiently replicated to a remote site for use in the event of a disaster or other data loss at the primary site. Or thedatabase146 can be replicated to another computing device within the same site, such as to a higher performance machine in the event that a storage manager host device can no longer service the needs of a growinginformation management system100.
• The distributed architecture also provides both scalability and efficient component utilization.FIG. 1D shows an embodiment of theinformation management system100 including a plurality ofclient computing devices102 and associateddata agents142 as well as a plurality of secondarystorage computing devices106 and associatedmedia agents144.
• Additional components can be added or subtracted based on the evolving needs of theinformation management system100. For instance, depending on where bottlenecks are identified, administrators can add additionalclient computing devices102, secondary storage computing devices106 (and corresponding media agents144), and/orsecondary storage devices108. Moreover, where multiple fungible components are available, load balancing can be implemented to dynamically address identified bottlenecks. As an example, thestorage manager140 may dynamically select whichmedia agents144 and/orsecondary storage devices108 to use for storage operations based on a processing load analysis of themedia agents144 and/orsecondary storage devices108, respectively.
• Moreover, eachclient computing device102 in some embodiments can communicate with, among other components, any of themedia agents144, e.g., as directed by thestorage manager140. And eachmedia agent144 may be able to communicate with, among other components, any of thesecondary storage devices108, e.g., as directed by thestorage manager140. Thus, operations can be routed to thesecondary storage devices108 in a dynamic and highly flexible manner, to provide load balancing, failover, and the like. Further examples of scalable systems capable of dynamic storage operations, and of systems capable of performing load balancing and fail over are provided in U.S. Pat. No. 7,246,207, which is incorporated by reference herein.
• In alternative configurations, certain components are not distributed and may instead reside and execute on the same computing device. For example, in some embodiments, one ormore data agents142 and thestorage manager140 operate on the sameclient computing device102. In another embodiment, one ormore data agents142 and one ormore media agents144 operate on a single computing device.
Exemplary Types of Information Management Operations
• In order to protect and leverage stored data, theinformation management system100 can be configured to perform a variety of information management operations. As will be described, these operations can generally include secondary copy and other data movement operations, processing and data manipulation operations, analysis, reporting, and management operations. The operations described herein may be performed on any type of computing device, e.g., between two computers connected via a LAN, to a mobile client telecommunications device connected to a server via a WLAN, to any manner of client computing device coupled to a cloud storage target, etc., without limitation.
Data Movement Operations
• Data movement operations according to certain embodiments are generally operations that involve the copying or migration of data (e.g., payload data) between different locations in theinformation management system100 in an original/native and/or one or more different formats. For example, data movement operations can include operations in which stored data is copied, migrated, or otherwise transferred from one or more first storage devices to one or more second storage devices, such as from primary storage device(s)104 to secondary storage device(s)108, from secondary storage device(s)108 to different secondary storage device(s)108, fromsecondary storage devices108 toprimary storage devices104, or from primary storage device(s)104 to different primary storage device(s)104.
• Data movement operations can include by way of example, backup operations, archive operations, information lifecycle management operations such as hierarchical storage management operations, replication operations (e.g., continuous data replication operations), snapshot operations, deduplication or single-instancing operations, auxiliary copy operations, and the like. As will be discussed, some of these operations involve the copying, migration or other movement of data, without actually creating multiple, distinct copies. Nonetheless, some or all of these operations are referred to as “copy” operations for simplicity.
Backup Operations
• A backup operation creates a copy of a version of data (e.g., one or more files or other data units) inprimary data112 at a particular point in time. Each subsequent backup copy may be maintained independently of the first. Further, a backup copy in some embodiments is generally stored in a form that is different than the native format, e.g., a backup format. This can be in contrast to the version inprimary data112 from which the backup copy is derived, and which may instead be stored in a native format of the source application(s)110. In various cases, backup copies can be stored in a format in which the data is compressed, encrypted, deduplicated, and/or otherwise modified from the original application format. For example, a backup copy may be stored in a backup format that facilitates compression and/or efficient long-term storage.
• Backup copies can have relatively long retention periods as compared toprimary data112, and may be stored on media with slower retrieval times thanprimary data112 and certain other types ofsecondary copies116. On the other hand, backups may have relatively shorter retention periods than some other types ofsecondary copies116, such as archive copies (described below). Backups may sometimes be stored at on offsite location.
• Backup operations can include full backups, differential backups, incremental backups, “synthetic full” backups, and/or creating a “reference copy.” A full backup (or “standard full backup”) in some embodiments is generally a complete image of the data to be protected. However, because full backup copies can consume a relatively large amount of storage, it can be useful to use a full backup copy as a baseline and only store changes relative to the full backup copy for subsequent backup copies.
• For instance, a differential backup operation (or cumulative incremental backup operation) tracks and stores changes that have occurred since the last full backup. Differential backups can grow quickly in size, but can provide relatively efficient restore times because a restore can be completed in some cases using only the full backup copy and the latest differential copy.
• An incremental backup operation generally tracks and stores changes since the most recent backup copy of any type, which can greatly reduce storage utilization. In some cases, however, restore times can be relatively long in comparison to full or differential backups because completing a restore operation may involve accessing a full backup in addition to multiple incremental backups.
• Synthetic full backups generally consolidate data without directly backing up data from the client computing device. A synthetic full backup is created from the most recent full backup (i.e., standard or synthetic) and subsequent incremental and/or differential backups. The resulting synthetic full backup is identical to what would have been created had the last backup for the subclient been a standard full backup. Unlike standard full, incremental, and differential backups, a synthetic full backup does not actually transfer data from a client computer to the backup media, because it operates as a backup consolidator. A synthetic full backup extracts the index data of each participating subclient. Using this index data and the previously backed up user data images, it builds new full backup images, one for each subclient. The new backup images consolidate the index and user data stored in the related incremental, differential, and previous full backups, in some embodiments creating an archive file at the subclient level.
• Any of the above types of backup operations can be at the volume-level, file-level, or block-level. Volume level backup operations generally involve the copying of a data volume (e.g., a logical disk or partition) as a whole. In a file-level backup, theinformation management system100 may generally track changes to individual files, and includes copies of files in the backup copy. In the case of a block-level backup, files are broken into constituent blocks, and changes are tracked at the block-level. Upon restore, theinformation management system100 reassembles the blocks into files in a transparent fashion.
• Far less data may actually be transferred and copied to thesecondary storage devices108 during a file-level copy than a volume-level copy. Likewise, a block-level copy may involve the transfer of less data than a file-level copy, resulting in faster execution times. However, restoring a relatively higher-granularity copy can result in longer restore times. For instance, when restoring a block-level copy, the process of locating constituent blocks can sometimes result in longer restore times as compared to file-level backups. Similar to backup operations, the other types of secondary copy operations described herein can also be implemented at either the volume-level, file-level, or block-level.
• For example, in some embodiments, a reference copy may comprise copy(ies) of selected objects from backed up data, typically to help organize data by keeping contextual information from multiple sources together, and/or help retain specific data for a longer period of time, such as for legal hold needs. A reference copy generally maintains data integrity, and when the data is restored, it may be viewed in the same format as the source data. In some embodiments, a reference copy is based on a specialized client, individual subclient and associated information management policies (e.g., storage policy, retention policy, etc.) that are administered withininformation management system100.
• Archive Operations
• Because backup operations generally involve maintaining a version of the copied data inprimary data112 and also maintaining backup copies in secondary storage device(s)108, they can consume significant storage capacity. To help reduce storage consumption, an archive operation according to certain embodiments creates asecondary copy116 by both copying and removing source data. Or, seen another way, archive operations can involve moving some or all of the source data to the archive destination. Thus, data satisfying criteria for removal (e.g., data of a threshold age or size) may be removed from source storage. The source data may beprimary data112 or asecondary copy116, depending on the situation. As with backup copies, archive copies can be stored in a format in which the data is compressed, encrypted, deduplicated, and/or otherwise modified from the format of the original application or source copy. In addition, archive copies may be retained for relatively long periods of time (e.g., years) and, in some cases, are never deleted. Archive copies are generally retained for longer periods of time than backup copies, for example. In certain embodiments, archive copies may be made and kept for extended periods in order to meet compliance regulations.
• Moreover, whenprimary data112 is archived, in some cases the correspondingprimary data112 or a portion thereof is deleted when creating the archive copy. Thus, archiving can serve the purpose of freeing up space in the primary storage device(s)104 and easing the demand on computational resources onclient computing device102. Similarly, when asecondary copy116 is archived, thesecondary copy116 may be deleted, and an archive copy can therefore serve the purpose of freeing up space in secondary storage device(s)108. In contrast, source copies often remain intact when creating backup copies. Examples of compatible data archiving operations are provided in U.S. Pat. No. 7,107,298, which is incorporated by reference herein.
• Snapshot Operations
• Snapshot operations can provide a relatively lightweight, efficient mechanism for protecting data. From an end-user viewpoint, a snapshot may be thought of as an “instant” image of theprimary data112 at a given point in time, and may include state and/or status information relative to an application that creates/manages the primary data. In one embodiment, a snapshot may generally capture the directory structure of an object inprimary data112 such as a file or volume or other data set at a particular moment in time and may also preserve file attributes and contents. A snapshot in some cases is created relatively quickly, e.g., substantially instantly, using a minimum amount of file space, but may still function as a conventional file system backup.
• A “hardware snapshot” (or “hardware-based snapshot”) operation can be a snapshot operation where a target storage device (e.g., aprimary storage device104 or a secondary storage device108) performs the snapshot operation in a self-contained fashion, substantially independently, using hardware, firmware and/or software operating on the storage device itself. For instance, the storage device may be capable of performing snapshot operations upon request, generally without intervention or oversight from any of the other components in theinformation management system100. In this manner, hardware snapshots can off-load other components ofinformation management system100 from processing involved in snapshot creation and management.
• A “software snapshot” (or “software-based snapshot”) operation, on the other hand, can be a snapshot operation in which one or more other components in information management system100 (e.g.,client computing devices102,data agents142, etc.) implement a software layer that manages the snapshot operation via interaction with the target storage device. For instance, the component executing the snapshot management software layer may derive a set of pointers and/or data that represents the snapshot. The snapshot management software layer may then transmit the same to the target storage device, along with appropriate instructions for writing the snapshot.
• Some types of snapshots do not actually create another physical copy of all the data as it existed at the particular point in time, but may simply create pointers that are able to map files and directories to specific memory locations (e.g., to specific disk blocks) where the data resides, as it existed at the particular point in time. For example, a snapshot copy may include a set of pointers derived from the file system or from an application. In some other cases, the snapshot may be created at the block-level, such that creation of the snapshot occurs without awareness of the file system. Each pointer points to a respective stored data block, so that collectively, the set of pointers reflect the storage location and state of the data object (e.g., file(s) or volume(s) or data set(s)) at a particular point in time when the snapshot copy was created.
• An initial snapshot may use only a small amount of disk space needed to record a mapping or other data structure representing or otherwise tracking the blocks that correspond to the current state of the file system. Additional disk space is usually required only when files and directories are modified later on. Furthermore, when files are modified, typically only the pointers which map to blocks are copied, not the blocks themselves. In some embodiments, for example in the case of “copy-on-write” snapshots, when a block changes in primary storage, the block is copied to secondary storage or cached in primary storage before the block is overwritten in primary storage, and the pointer to that block changed to reflect the new location of that block. The snapshot mapping of file system data may also be updated to reflect the changed block(s) at that particular point in time. In some other cases, a snapshot includes a full physical copy of all or substantially all of the data represented by the snapshot. Further examples of snapshot operations are provided in U.S. Pat. No. 7,529,782, which is incorporated by reference herein.
• A snapshot copy in many cases can be made quickly and without significantly impacting primary computing resources because large amounts of data need not be copied or moved. In some embodiments, a snapshot may exist as a virtual file system, parallel to the actual file system. Users in some cases gain read-only access to the record of files and directories of the snapshot. By electing to restoreprimary data112 from a snapshot taken at a given point in time, users may also return the current file system to the state of the file system that existed when the snapshot was taken.
• Replication Operations
• Another type of secondary copy operation is a replication operation. Some types ofsecondary copies116 are used to periodically capture images ofprimary data112 at particular points in time (e.g., backups, archives, and snapshots). However, it can also be useful for recovery purposes to protectprimary data112 in a more continuous fashion, by replicating theprimary data112 substantially as changes occur. In some cases a replication copy can be a mirror copy, for instance, where changes made toprimary data112 are mirrored or substantially immediately copied to another location (e.g., to secondary storage device(s)108). By copying each write operation to the replication copy, two storage systems are kept synchronized or substantially synchronized so that they are virtually identical at approximately the same time. Where entire disk volumes are mirrored, however, mirroring can require significant amount of storage space and utilizes a large amount of processing resources.
• According to some embodiments storage operations are performed on replicated data that represents a recoverable state, or “known good state” of a particular application running on the source system. For instance, in certain embodiments, known good replication copies may be viewed as copies ofprimary data112. This feature allows the system to directly access, copy, restore, backup or otherwise manipulate the replication copies as if the data were the “live”primary data112. This can reduce access time, storage utilization, and impact onsource applications110, among other benefits. Based on known good state information, theinformation management system100 can replicate sections of application data that represent a recoverable state rather than rote copying of blocks of data. Examples of compatible replication operations (e.g., continuous data replication) are provided in U.S. Pat. No. 7,617,262, which is incorporated by reference herein.
• Deduplication/Single-Instancing Operations
• Another type of data movement operation is deduplication or single-instance storage, which is useful to reduce the amount of non-primary data. For instance, some or all of the above-described secondary storage operations can involve deduplication in some fashion. New data is read, broken down into portions (e.g., sub-file level blocks, files, etc.) of a selected granularity, compared with blocks that are already in secondary storage, and only the new blocks are stored. Blocks that already exist are represented as pointers to the already stored data.
• In order to streamline the comparison process, theinformation management system100 may calculate and/or store signatures (e.g., hashes or cryptographically unique IDs) corresponding to the individual data blocks in a database and compare the signatures instead of comparing entire data blocks. In some cases, only a single instance of each element is stored, and deduplication operations may therefore be referred to interchangeably as “single-instancing” operations. Depending on the implementation, however, deduplication or single-instancing operations can store more than one instance of certain data blocks, but nonetheless significantly reduce data redundancy. Depending on the embodiment, deduplication blocks can be of fixed or variable length. Using variable length blocks can provide enhanced deduplication by responding to changes in the data stream, but can involve complex processing. In some cases, theinformation management system100 utilizes a technique for dynamically aligning deduplication blocks (e.g., fixed-length blocks) based on changing content in the data stream, as described in U.S. Pat. No. 8,364,652, which is incorporated by reference herein.
• Theinformation management system100 can perform deduplication in a variety of manners at a variety of locations in theinformation management system100. For instance, in some embodiments, theinformation management system100 implements “target-side” deduplication by deduplicating data (e.g., secondary copies116) stored in thesecondary storage devices108. In some such cases, themedia agents144 are generally configured to manage the deduplication process. For instance, one or more of themedia agents144 maintain a corresponding deduplication database that stores deduplication information (e.g., datablock signatures). Examples of such a configuration are provided in U.S. Pat. Pub. No. 2012/0150826, which is incorporated by reference herein. Instead of or in combination with “target-side” deduplication, deduplication can also be performed on the “source-side” (or “client-side”), e.g., to reduce the amount of traffic between themedia agents144 and the client computing device(s)102 and/or reduce redundant data stored in theprimary storage devices104. According to various implementations, one or more of the storage devices of the target-side and/or source-side of an operation can be cloud-based storage devices. Thus, the target-side and/or source-side deduplication can be cloud-based deduplication. In particular, as discussed previously, thestorage manager140 may communicate with other components within theinformation management system100 via network protocols and cloud service provider APIs to facilitate cloud-based deduplication/single instancing. Examples of such deduplication techniques are provided in U.S. Pat. Pub. No. 2012/0150818, which is incorporated by reference herein. Some other compatible deduplication/single instancing techniques are described in U.S. Pat. Pub. Nos. 2006/0224846 and 2009/0319534, which are incorporated by reference herein.
• Information Lifecycle Management and Hierarchical Storage Management Operations
• In some embodiments, files and other data over their lifetime move from more expensive, quick access storage to less expensive, slower access storage. Operations associated with moving data through various tiers of storage are sometimes referred to as information lifecycle management (ILM) operations.
• One type of ILM operation is a hierarchical storage management (HSM) operation. A HSM operation is generally an operation for automatically moving data between classes of storage devices, such as between high-cost and low-cost storage devices. For instance, an HSM operation may involve movement of data fromprimary storage devices104 tosecondary storage devices108, or between tiers ofsecondary storage devices108. With each tier, the storage devices may be progressively relatively cheaper, have relatively slower access/restore times, etc. For example, movement of data between tiers may occur as data becomes less important over time.
• In some embodiments, an HSM operation is similar to an archive operation in that creating an HSM copy may (though not always) involve deleting some of the source data, e.g., according to one or more criteria related to the source data. For example, an HSM copy may include data fromprimary data112 or asecondary copy116 that is larger than a given size threshold or older than a given age threshold and that is stored in a backup format.
• Often, and unlike some types of archive copies, HSM data that is removed or aged from the source is replaced by a logical reference pointer or stub. The reference pointer or stub can be stored in the primary storage device104 (or other source storage device, such as a secondary storage device108) to replace the deleted source data and to point to or otherwise indicate the new location in asecondary storage device108.
• According to one example, files are generally moved between higher and lower cost storage depending on how often the files are accessed. When a user requests access to the HSM data that has been removed or migrated, theinformation management system100 uses the stub to locate the data and may make recovery of the data appear transparent, even though the HSM data may be stored at a location different from other source data. In this manner, the data appears to the user (e.g., in file system browsing windows and the like) as if it still resides in the source location (e.g., in a primary storage device104). The stub may also include some metadata associated with the corresponding data, so that a file system and/or application can provide some information about the data object and/or a limited-functionality version (e.g., a preview) of the data object.
• An HSM copy may be stored in a format other than the native application format (e.g., where the data is compressed, encrypted, deduplicated, and/or otherwise modified from the original native application format). In some cases, copies which involve the removal of data from source storage and the maintenance of stub or other logical reference information on source storage may be referred to generally as “on-line archive copies”. On the other hand, copies which involve the removal of data from source storage without the maintenance of stub or other logical reference information on source storage may be referred to as “off-line archive copies”. Examples of HSM and ILM techniques are provided in U.S. Pat. No. 7,343,453, which is incorporated by reference herein.
• Auxiliary Copy and Disaster Recovery Operations
• An auxiliary copy is generally a copy operation in which a copy is created of an existingsecondary copy116. For instance, an initialsecondary copy116 may be generated using or otherwise be derived from primary data112 (or other data residing in the secondary storage subsystem118), whereas an auxiliary copy is generated from the initialsecondary copy116. Auxiliary copies can be used to create additional standby copies of data and may reside on differentsecondary storage devices108 than the initialsecondary copies116. Thus, auxiliary copies can be used for recovery purposes if initialsecondary copies116 become unavailable. Exemplary compatible auxiliary copy techniques are described in further detail in U.S. Pat. No. 8,230,195, which is incorporated by reference herein.
• Theinformation management system100 may also perform disaster recovery operations that make or retain disaster recovery copies, often as secondary, high-availability disk copies. Theinformation management system100 may create secondary disk copies and store the copies at disaster recovery locations using auxiliary copy or replication operations, such as continuous data replication technologies. Depending on the particular data protection goals, disaster recovery locations can be remote from theclient computing devices102 andprimary storage devices104, remote from some or all of thesecondary storage devices108, or both.
• Data Analysis, Reporting, and Management Operations
• Data analysis, reporting, and management operations can be different than data movement operations in that they do not necessarily involve the copying, migration or other transfer of data (e.g.,primary data112 or secondary copies116) between different locations in the system. For instance, data analysis operations may involve processing (e.g., offline processing) or modification of already storedprimary data112 and/orsecondary copies116. However, in some embodiments data analysis operations are performed in conjunction with data movement operations. Some data analysis operations include content indexing operations and classification operations which can be useful in leveraging the data under management to provide enhanced search and other features. Other data analysis operations such as compression and encryption can provide data reduction and security benefits, respectively.
• Classification Operations/Content Indexing
• In some embodiments, theinformation management system100 analyzes and indexes characteristics, content, and metadata associated with theprimary data112 and/orsecondary copies116. The content indexing can be used to identify files or other data objects having pre-defined content (e.g., user-defined keywords or phrases, other keywords/phrases that are not defined by a user, etc.), and/or metadata (e.g., email metadata such as “to”, “from”, “cc”, “bcc”, attachment name, received time, etc.).
• Theinformation management system100 generally organizes and catalogues the results in a content index, which may be stored within themedia agent database152, for example. The content index can also include the storage locations of (or pointer references to) the indexed data in theprimary data112 orsecondary copies116, as appropriate. The results may also be stored, in the form of a content index database or otherwise, elsewhere in the information management system100 (e.g., in theprimary storage devices104, or in the secondary storage device108). Such index data provides thestorage manager140 or another component with an efficient mechanism for locatingprimary data112 and/orsecondary copies116 of data objects that match particular criteria.
• For instance, search criteria can be specified by a user throughuser interface158 of thestorage manager140. In some cases, theinformation management system100 analyzes data and/or metadata insecondary copies116 to create an “off-line” content index, without significantly impacting the performance of theclient computing devices102. Depending on the embodiment, the system can also implement “on-line” content indexing, e.g., ofprimary data112. Examples of compatible content indexing techniques are provided in U.S. Pat. No. 8,170,995, which is incorporated by reference herein.
• One or more components can be configured to scan data and/or associated metadata for classification purposes to populate a database (or other data structure) of information, which can be referred to as a “data classification database” or a “metabase”. Depending on the embodiment, the data classification database(s) can be organized in a variety of different ways, including centralization, logical sub-divisions, and/or physical sub-divisions. For instance, one or more centralized data classification databases may be associated with different subsystems or tiers within theinformation management system100. As an example, there may be a first centralized metabase associated with theprimary storage subsystem117 and a second centralized metabase associated with thesecondary storage subsystem118. In other cases, there may be one or more metabases associated with individual components, e.g.,client computing devices102 and/ormedia agents144. In some embodiments, a data classification database (metabase) may reside as one or more data structures withinmanagement database146, or may be otherwise associated withstorage manager140.
• In some cases, the metabase(s) may be included in separate database(s) and/or on separate storage device(s) fromprimary data112 and/orsecondary copies116, such that operations related to the metabase do not significantly impact performance on other components in theinformation management system100. In other cases, the metabase(s) may be stored along withprimary data112 and/orsecondary copies116. Files or other data objects can be associated with identifiers (e.g., tag entries, etc.) in the media agent144 (or other indices) to facilitate searches of stored data objects. Among a number of other benefits, the metabase can also allow efficient, automatic identification of files or other data objects to associate with secondary copy or other information management operations (e.g., in lieu of scanning an entire file system). Examples of compatible metabases and data classification operations are provided in U.S. Pat. Nos. 8,229,954 and 7,747,579, which are incorporated by reference herein.
• Encryption Operations
• Theinformation management system100 in some cases is configured to process data (e.g., files or other data objects,secondary copies116, etc.), according to an appropriate encryption algorithm (e.g., Blowfish, Advanced Encryption Standard [AES], Triple Data Encryption Standard [3-DES], etc.) to limit access and provide data security in theinformation management system100. Theinformation management system100 in some cases encrypts the data at the client level, such that the client computing devices102 (e.g., the data agents142) encrypt the data prior to forwarding the data to other components, e.g., before sending the data tomedia agents144 during a secondary copy operation. In such cases, theclient computing device102 may maintain or have access to an encryption key or passphrase for decrypting the data upon restore. Encryption can also occur when creating copies of secondary copies, e.g., when creating auxiliary copies or archive copies. In yet further embodiments, thesecondary storage devices108 can implement built-in, high performance hardware encryption.
• Management and Reporting Operations
• Certain embodiments leverage the integrated, ubiquitous nature of theinformation management system100 to provide useful system-wide management and reporting functions. Examples of some compatible management and reporting techniques are provided in U.S. Pat. No. 7,343,453, which is incorporated by reference herein.
• Operations management can generally include monitoring and managing the health and performance ofinformation management system100 by, without limitation, performing error tracking, generating granular storage/performance metrics (e.g., job success/failure information, deduplication efficiency, etc.), generating storage modeling and costing information, and the like. As an example, astorage manager140 or other component in theinformation management system100 may analyze traffic patterns and suggest and/or automatically route data via a particular route to minimize congestion. In some embodiments, the system can generate predictions relating to storage operations or storage operation information. Such predictions, which may be based on a trending analysis, may predict various network operations or resource usage, such as network traffic levels, storage media use, use of bandwidth of communication links, use of media agent components, etc. Further examples of traffic analysis, trend analysis, prediction generation, and the like are described in U.S. Pat. No. 7,343,453, which is incorporated by reference herein.
• In some configurations, amaster storage manager140 may track the status of storage operation cells in a hierarchy, such as the status of jobs, system components, system resources, and other items, by communicating with storage managers140 (or other components) in the respective storage operation cells. Moreover, themaster storage manager140 may track the status of its associated storage operation cells and information management operations by receiving periodic status updates from the storage managers140 (or other components) in the respective cells regarding jobs, system components, system resources, and other items. In some embodiments, amaster storage manager140 may store status information and other information regarding its associated storage operation cells and other system information in its index150 (or other location).
• Themaster storage manager140 or other component may also determine whether certain storage-related criteria or other criteria are satisfied, and perform an action or trigger event (e.g., data migration) in response to the criteria being satisfied, such as where a storage threshold is met for a particular volume, or where inadequate protection exists for certain data. For instance, in some embodiments, data from one or more storage operation cells is used to dynamically and automatically mitigate recognized risks, and/or to advise users of risks or suggest actions to mitigate these risks. For example, an information management policy may specify certain requirements (e.g., that a storage device should maintain a certain amount of free space, that secondary copies should occur at a particular interval, that data should be aged and migrated to other storage after a particular period, that data on a secondary volume should always have a certain level of availability and be restorable within a given time period, that data on a secondary volume may be mirrored or otherwise migrated to a specified number of other volumes, etc.). If a risk condition or other criterion is triggered, the system may notify the user of these conditions and may suggest (or automatically implement) an action to mitigate or otherwise address the risk. For example, the system may indicate that data from aprimary copy112 should be migrated to asecondary storage device108 to free space on theprimary storage device104. Examples of the use of risk factors and other triggering criteria are described in U.S. Pat. No. 7,343,453, which is incorporated by reference herein.
• In some embodiments, thesystem100 may also determine whether a metric or other indication satisfies particular storage criteria and, if so, perform an action. For example, as previously described, a storage policy or other definition might indicate that astorage manager140 should initiate a particular action if a storage metric or other indication drops below or otherwise fails to satisfy specified criteria such as a threshold of data protection. Examples of such metrics are described in U.S. Pat. No. 7,343,453, which is incorporated by reference herein.
• In some embodiments, risk factors may be quantified into certain measurable service or risk levels for ease of comprehension. For example, certain applications and associated data may be considered to be more important by an enterprise than other data and services. Financial compliance data, for example, may be of greater importance than marketing materials, etc. Network administrators may assign priority values or “weights” to certain data and/or applications, corresponding to the relative importance. The level of compliance of storage operations specified for these applications may also be assigned a certain value. Thus, the health, impact, and overall importance of a service may be determined, such as by measuring the compliance value and calculating the product of the priority value and the compliance value to determine the “service level” and comparing it to certain operational thresholds to determine whether it is acceptable. Further examples of the service level determination are provided in U.S. Pat. No. 7,343,453, which is incorporated by reference herein.
• Thesystem100 may additionally calculate data costing and data availability associated with information management operation cells according to an embodiment of the invention. For instance, data received from the cell may be used in conjunction with hardware-related information and other information about system elements to determine the cost of storage and/or the availability of particular data in the system. Exemplary information generated could include how fast a particular department is using up available storage space, how long data would take to recover over a particular system pathway from a particular secondary storage device, costs over time, etc. Moreover, in some embodiments, such information may be used to determine or predict the overall cost associated with the storage of certain information. The cost associated with hosting a certain application may be based, at least in part, on the type of media on which the data resides, for example. Storage devices may be assigned to a particular cost categories, for example. Further examples of costing techniques are described in U.S. Pat. No. 7,343,453, which is incorporated by reference herein.
• Any of the above types of information (e.g., information related to trending, predictions, job, cell or component status, risk, service level, costing, etc.) can generally be provided to users via theuser interface158 in a single, integrated view or console (not shown). The console may support a reporting capability that allows for the generation of a variety of reports, which may be tailored to a particular aspect of information management. Report types may include: scheduling, event management, media management and data aging. Available reports may also include backup history, data aging history, auxiliary copy history, job history, library and drive, media in library, restore history, and storage policy, etc., without limitation. Such reports may be specified and created at a certain point in time as a system analysis, forecasting, or provisioning tool. Integrated reports may also be generated that illustrate storage and performance metrics, risks and storage costing information. Moreover, users may create their own reports based on specific needs.
• The integrateduser interface158 can include an option to show a “virtual view” of the system that graphically depicts the various components in the system using appropriate icons. As one example, theuser interface158 may provide a graphical depiction of one or moreprimary storage devices104, thesecondary storage devices108,data agents142 and/ormedia agents144, and their relationship to one another in theinformation management system100. The operations management functionality can facilitate planning and decision-making. For example, in some embodiments, a user may view the status of some or all jobs as well as the status of each component of theinformation management system100. Users may then plan and make decisions based on this data. For instance, a user may view high-level information regarding storage operations for theinformation management system100, such as job status, component status, resource status (e.g., communication pathways, etc.), and other information. The user may also drill down or use other means to obtain more detailed information regarding a particular component, job, or the like. Further examples of some reporting techniques and associated interfaces providing an integrated view of an information management system are provided in U.S. Pat. No. 7,343,453, which is incorporated by reference herein.
• Theinformation management system100 can also be configured to perform system-wide e-discovery operations in some embodiments. In general, e-discovery operations provide a unified collection and search capability for data in the system, such as data stored in the secondary storage devices108 (e.g., backups, archives, or other secondary copies116). For example, theinformation management system100 may construct and maintain a virtual repository for data stored in theinformation management system100 that is integrated acrosssource applications110, different storage device types, etc. According to some embodiments, e-discovery utilizes other techniques described herein, such as data classification and/or content indexing.
Information Management Policies
• As indicated previously, aninformation management policy148 can include a data structure or other information source that specifies a set of parameters (e.g., criteria and rules) associated with secondary copy and/or other information management operations.
• One type ofinformation management policy148 is a storage policy. According to certain embodiments, a storage policy generally comprises a data structure or other information source that defines (or includes information sufficient to determine) a set of preferences or other criteria for performing information management operations. Storage policies can include one or more of the following items: (1) what data will be associated with the storage policy; (2) a destination to which the data will be stored; (3) datapath information specifying how the data will be communicated to the destination; (4) the type of storage operation to be performed; and (5) retention information specifying how long the data will be retained at the destination (see, e.g.,FIG. 1E).
• As an illustrative example, data associated with a storage policy can be logically organized into groups. In some cases, these logical groupings can be referred to as “sub-clients”. A sub-client may represent static or dynamic associations of portions of a data volume. Sub-clients may represent mutually exclusive portions. Thus, in certain embodiments, a portion of data may be given a label and the association is stored as a static entity in an index, database or other storage location. Sub-clients may also be used as an effective administrative scheme of organizing data according to data type, department within the enterprise, storage preferences, or the like. Depending on the configuration, sub-clients can correspond to files, folders, virtual machines, databases, etc. In one exemplary scenario, an administrator may find it preferable to separate e-mail data from financial data using two different sub-clients.
• A storage policy can define where data is stored by specifying a target or destination storage device (or group of storage devices). For instance, where thesecondary storage device108 includes a group of disk libraries, the storage policy may specify a particular disk library for storing the sub-clients associated with the policy. As another example, where thesecondary storage devices108 include one or more tape libraries, the storage policy may specify a particular tape library for storing the sub-clients associated with the storage policy, and may also specify a drive pool and a tape pool defining a group of tape drives and a group of tapes, respectively, for use in storing the sub-client data. While information in the storage policy can be statically assigned in some cases, some or all of the information in the storage policy can also be dynamically determined based on criteria, which can be set forth in the storage policy. For instance, based on such criteria, a particular destination storage device(s) (or other parameter of the storage policy) may be determined based on characteristics associated with the data involved in a particular storage operation, device availability (e.g., availability of asecondary storage device108 or a media agent144), network status and conditions (e.g., identified bottlenecks), user credentials, and the like).
• Datapath information can also be included in the storage policy. For instance, the storage policy may specify network pathways and components to utilize when moving the data to the destination storage device(s). In some embodiments, the storage policy specifies one ormore media agents144 for conveying data associated with the storage policy between the source (e.g., one or more host client computing devices102) and destination (e.g., a particular target secondary storage device108).
• A storage policy can also specify the type(s) of operations associated with the storage policy, such as a backup, archive, snapshot, auxiliary copy, or the like. Retention information can specify how long the data will be kept, depending on organizational needs (e.g., a number of days, months, years, etc.)
• Another type ofinformation management policy148 is a scheduling policy, which specifies when and how often to perform operations. Scheduling parameters may specify with what frequency (e.g., hourly, weekly, daily, event-based, etc.) or under what triggering conditions secondary copy or other information management operations will take place. Scheduling policies in some cases are associated with particular components, such as particular logical groupings of data associated with a storage policy (e.g., a sub-client),client computing device102, and the like. In one configuration, a separate scheduling policy is maintained for particular logical groupings of data on aclient computing device102. The scheduling policy specifies that those logical groupings are to be moved tosecondary storage devices108 every hour according to storage policies associated with the respective sub-clients.
• When adding a newclient computing device102, administrators can manually configureinformation management policies148 and/or other settings, e.g., via theuser interface158. However, this can be an involved process resulting in delays, and it may be desirable to begin data protection operations quickly, without awaiting human intervention. Thus, in some embodiments, theinformation management system100 automatically applies a default configuration toclient computing device102. As one example, when one or more data agent(s)142 are installed on one or moreclient computing devices102, the installation script may register theclient computing device102 with thestorage manager140, which in turn applies the default configuration to the newclient computing device102. In this manner, data protection operations can begin substantially immediately. The default configuration can include a default storage policy, for example, and can specify any appropriate information sufficient to begin data protection operations. This can include a type of data protection operation, scheduling information, a targetsecondary storage device108, data path information (e.g., a particular media agent144), and the like.
• Other types ofinformation management policies148 are possible, including one or more audit (or security) policies. An audit policy is a set of preferences, rules and/or criteria that protect sensitive data in theinformation management system100. For example, an audit policy may define “sensitive objects” as files or objects that contain particular keywords (e.g., “confidential,” or “privileged”) and/or are associated with particular keywords (e.g., in metadata) or particular flags (e.g., in metadata identifying a document or email as personal, confidential, etc.). An audit policy may further specify rules for handling sensitive objects. As an example, an audit policy may require that a reviewer approve the transfer of any sensitive objects to a cloud storage site, and that if approval is denied for a particular sensitive object, the sensitive object should be transferred to a localprimary storage device104 instead. To facilitate this approval, the audit policy may further specify how a secondarystorage computing device106 or other system component should notify a reviewer that a sensitive object is slated for transfer.
• Another type ofinformation management policy148 is a provisioning policy. A provisioning policy can include a set of preferences, priorities, rules, and/or criteria that specify how client computing devices102 (or groups thereof) may utilize system resources, such as available storage on cloud storage and/or network bandwidth. A provisioning policy specifies, for example, data quotas for particular client computing devices102 (e.g., a number of gigabytes that can be stored monthly, quarterly or annually). Thestorage manager140 or other components may enforce the provisioning policy. For instance, themedia agents144 may enforce the policy when transferring data tosecondary storage devices108. If aclient computing device102 exceeds a quota, a budget for the client computing device102 (or associated department) is adjusted accordingly or an alert may trigger.
• While the above types ofinformation management policies148 have been described as separate policies, one or more of these can be generally combined into a singleinformation management policy148. For instance, a storage policy may also include or otherwise be associated with one or more scheduling, audit, or provisioning policies or operational parameters thereof. Moreover, while storage policies are typically associated with moving and storing data, other policies may be associated with other types of information management operations. The following is a non-exhaustive list of items theinformation management policies148 may specify:
• • schedules or other timing information, e.g., specifying when and/or how often to perform information management operations;
  • the type of copy116 (e.g., type of secondary copy) and/or copy format (e.g., snapshot, backup, archive, HSM, etc.);
  • a location or a class or quality of storage for storing secondary copies116 (e.g., one or more particular secondary storage devices108);
  • preferences regarding whether and how to encrypt, compress, deduplicate, or otherwise modify or transformsecondary copies116;
  • which system components and/or network pathways (e.g., preferred media agents144) should be used to perform secondary storage operations;
  • resource allocation among different computing devices or other system components used in performing information management operations (e.g., bandwidth allocation, available storage capacity, etc.);
  • whether and how to synchronize or otherwise distribute files or other data objects across multiple computing devices or hosted services; and
  • retention information specifying the length of timeprimary data112 and/orsecondary copies116 should be retained, e.g., in a particular class or tier of storage devices, or within theinformation management system100.
• Policies can additionally specify or depend on a variety of historical or current criteria that may be used to determine which rules to apply to a particular data object, system component, or information management operation, such as:
• • frequency with whichprimary data112 or asecondary copy116 of a data object or metadata has been or is predicted to be used, accessed, or modified;
  • time-related factors (e.g., aging information such as time since the creation or modification of a data object);
  • deduplication information (e.g., hashes, data blocks, deduplication block size, deduplication efficiency or other metrics);
  • an estimated or historic usage or cost associated with different components (e.g., with secondary storage devices108);
  • the identity of users,applications110,client computing devices102 and/or other computing devices that created, accessed, modified, or otherwise utilizedprimary data112 orsecondary copies116;
  • a relative sensitivity (e.g., confidentiality, importance) of a data object, e.g., as determined by its content and/or metadata;
  • the current or historical storage capacity of various storage devices;
  • the current or historical network capacity of network pathways connecting various components within the storage operation cell;
  • access control lists or other security information; and
  • the content of a particular data object (e.g., its textual content) or of metadata associated with the data object.
Exemplary Storage Policy and Secondary Storage Operations
• FIG. 1E includes a data flow diagram depicting performance of storage operations by an embodiment of aninformation management system100, according to anexemplary storage policy148A. Theinformation management system100 includes astorage manger140, aclient computing device102 having a filesystem data agent142A and anemail data agent142B operating thereon, aprimary storage device104, twomedia agents144A,144B, and twosecondary storage devices108A,108B: adisk library108A and atape library108B. As shown, theprimary storage device104 includesprimary data112A, which is associated with a logical grouping of data associated with a file system, andprimary data112B, which is associated with a logical grouping of data associated with email. Although for simplicity the logical grouping of data associated with the file system is referred to as a file system sub-client, and the logical grouping of data associated with the email is referred to as an email sub-client, the techniques described with respect toFIG. 1E can be utilized in conjunction with data that is organized in a variety of other manners.
• As indicated by the dashed box, thesecond media agent144B and thetape library108B are “off-site”, and may therefore be remotely located from the other components in the information management system100 (e.g., in a different city, office building, etc.). Indeed, “off-site” may refer to a magnetic tape located in storage, which must be manually retrieved and loaded into a tape drive to be read. In this manner, information stored on thetape library108B may provide protection in the event of a disaster or other failure.
• The file system sub-client and its associatedprimary data112A in certain embodiments generally comprise information generated by the file system and/or operating system of theclient computing device102, and can include, for example, file system data (e.g., regular files, file tables, mount points, etc.), operating system data (e.g., registries, event logs, etc.), and the like. The e-mail sub-client, on the other hand, and its associatedprimary data112B, include data generated by an e-mail application operating on theclient computing device102, and can include mailbox information, folder information, emails, attachments, associated database information, and the like. As described above, the sub-clients can be logical containers, and the data included in the correspondingprimary data112A,112B may or may not be stored contiguously.
• Theexemplary storage policy148A includes backup copy preferences (or rule set)160, disaster recovery copy preferences rule set162, and compliance copy preferences orrule set164. The backup copy rule set160 specifies that it is associated with afile system sub-client166 and anemail sub-client168. Each of thesesub-clients166,168 are associated with the particularclient computing device102. The backup copy rule set160 further specifies that the backup operation will be written to thedisk library108A, and designates aparticular media agent144A to convey the data to thedisk library108A. Finally, the backup copy rule set160 specifies that backup copies created according to the rule set160 are scheduled to be generated on an hourly basis and to be retained for 30 days. In some other embodiments, scheduling information is not included in thestorage policy148A, and is instead specified by a separate scheduling policy.
• The disaster recovery copy rule set162 is associated with the same twosub-clients166,168. However, the disaster recovery copy rule set162 is associated with thetape library108B, unlike the backup copy rule set160. Moreover, the disaster recovery copy rule set162 specifies that a different media agent, namely144B, will be used to convey the data to thetape library108B. As indicated, disaster recovery copies created according to the rule set162 will be retained for 60 days, and will be generated on a daily basis. Disaster recovery copies generated according to the disaster recovery copy rule set162 can provide protection in the event of a disaster or other catastrophic data loss that would affect thebackup copy116A maintained on thedisk library108A.
• The compliance copy rule set164 is only associated with theemail sub-client168, and not thefile system sub-client166. Compliance copies generated according to the compliance copy rule set164 will therefore not includeprimary data112A from thefile system sub-client166. For instance, the organization may be under an obligation to store and maintain copies of email data for a particular period of time (e.g., 10 years) to comply with state or federal regulations, while similar regulations do not apply to the file system data. The compliance copy rule set164 is associated with thesame tape library108B andmedia agent144B as the disaster recovery copy rule set162, although a different storage device or media agent could be used in other embodiments. Finally, the compliance copy rule set164 specifies that copies generated under the compliance copy rule set164 will be retained for 10 years, and will be generated on a quarterly basis.
• Atstep1, thestorage manager140 initiates a backup operation according to the backup copy rule set160. For instance, a scheduling service running on thestorage manager140 accesses scheduling information from the backup copy rule set160 or a separate scheduling policy associated with theclient computing device102, and initiates a backup copy operation on an hourly basis. Thus, at the scheduled time slot thestorage manager140 sends instructions to the client computing device102 (i.e., to bothdata agent142A anddata agent142B) to begin the backup operation.
• Atstep2, the filesystem data agent142A and theemail data agent142B operating on theclient computing device102 respond to the instructions received from thestorage manager140 by accessing and processing theprimary data112A,112B involved in the copy operation, which can be found inprimary storage device104. Because the operation is a backup copy operation, the data agent(s)142A,142B may format the data into a backup format or otherwise process the data.
• Atstep3, theclient computing device102 communicates the retrieved, processed data to thefirst media agent144A, as directed by thestorage manager140, according to the backup copy rule set160. In some other embodiments, theinformation management system100 may implement a load-balancing, availability-based, or other appropriate algorithm to select from the available set ofmedia agents144A,144B. Regardless of the manner themedia agent144A is selected, thestorage manager140 may further keep a record in thestorage manager database146 of the association between the selectedmedia agent144A and theclient computing device102 and/or between the selectedmedia agent144A and thebackup copy116A.
• Thetarget media agent144A receives the data from theclient computing device102, and atstep4 conveys the data to thedisk library108A to create thebackup copy116A, again at the direction of thestorage manager140 and according to the backup copy rule set160. Thesecondary storage device108A can be selected in other ways. For instance, themedia agent144A may have a dedicated association with a particular secondary storage device(s), or thestorage manager140 ormedia agent144A may select from a plurality of secondary storage devices, e.g., according to availability, using one of the techniques described in U.S. Pat. No. 7,246,207, which is incorporated by reference herein.
• Themedia agent144A can also update itsindex153 to include data and/or metadata related to thebackup copy116A, such as information indicating where thebackup copy116A resides on thedisk library108A, data and metadata for cache retrieval, etc. Thestorage manager140 may similarly update itsindex150 to include information relating to the storage operation, such as information relating to the type of storage operation, a physical location associated with one or more copies created by the storage operation, the time the storage operation was performed, status information relating to the storage operation, the components involved in the storage operation, and the like. In some cases, thestorage manager140 may update itsindex150 to include some or all of the information stored in theindex153 of themedia agent144A. After the 30 day retention period expires, thestorage manager140 instructs themedia agent144A to delete thebackup copy116A from thedisk library108A.Indexes150 and/or153 are updated accordingly.
• Atstep5, thestorage manager140 initiates the creation of a disaster recovery copy1166 according to the disaster recovery copy rule set162.
• Atstep6, illustratively based on the instructions received from thestorage manager140 atstep5, the specifiedmedia agent144B retrieves the most recentbackup copy116A from thedisk library108A.
• Atstep7, again at the direction of thestorage manager140 and as specified in the disaster recovery copy rule set162, themedia agent144B uses the retrieved data to create adisaster recovery copy116B on thetape library108B. In some cases, the disaster recovery copy1166 is a direct, mirror copy of thebackup copy116A, and remains in the backup format. In other embodiments, the disaster recovery copy1166 may be generated in some other manner, such as by using theprimary data112A,1126 from theprimary storage device104 as source data. The disaster recovery copy operation is initiated once a day and the disaster recovery copies116B are deleted after 60 days; indexes are updated accordingly when/after each information management operation is executed/completed.
• Atstep8, thestorage manager140 initiates the creation of acompliance copy116C, according to the compliance copy rule set164. For instance, thestorage manager140 instructs themedia agent144B to create thecompliance copy116C on thetape library108B atstep9, as specified in the compliance copy rule set164. In the example, thecompliance copy116C is generated using thedisaster recovery copy116B. In other embodiments, thecompliance copy116C is instead generated using either theprimary data112B corresponding to the email sub-client or using thebackup copy116A from thedisk library108A as source data. As specified, in the illustrated example,compliance copies116C are created quarterly, and are deleted after ten years, and indexes are kept up-to-date accordingly.
• While not shown inFIG. 1E, at some later point in time, a restore operation can be initiated involving one or more of thesecondary copies116A,1166,116C. As one example, a user may manually initiate a restore of thebackup copy116A by interacting with theuser interface158 of thestorage manager140. Thestorage manager140 then accesses data in its index150 (and/or therespective storage policy148A) associated with the selectedbackup copy116A to identify theappropriate media agent144A and/orsecondary storage device108A.
• In other cases, a media agent may be selected for use in the restore operation based on a load balancing algorithm, an availability based algorithm, or other criteria. The selectedmedia agent144A retrieves the data from thedisk library108A. For instance, themedia agent144A may access itsindex153 to identify a location of thebackup copy116A on thedisk library108A, or may access location information residing on thedisk108A itself.
• When thebackup copy116A was recently created or accessed, themedia agent144A accesses a cached version of thebackup copy116A residing in theindex153, without having to access thedisk library108A for some or all of the data. Once it has retrieved thebackup copy116A, themedia agent144A communicates the data to the sourceclient computing device102. Upon receipt, the filesystem data agent142A and theemail data agent142B may unpackage (e.g., restore from a backup format to the native application format) the data in thebackup copy116A and restore the unpackaged data to theprimary storage device104.
• Exemplary Applications of Storage Policies
• Thestorage manager140 may permit a user to specify aspects of thestorage policy148A. For example, the storage policy can be modified to include information governance policies to define how data should be managed in order to comply with a certain regulation or business objective. The various policies may be stored, for example, in themanagement database146. An information governance policy may comprise a classification policy, which is described herein. An information governance policy may align with one or more compliance tasks that are imposed by regulations or business requirements. Examples of information governance policies might include a Sarbanes-Oxley policy, a HIPAA policy, an electronic discovery (E-Discovery) policy, and so on.
• Information governance policies allow administrators to obtain different perspectives on all of an organization's online and offline data, without the need for a dedicated data silo created solely for each different viewpoint. As described previously, the data storage systems herein build a centralized index that reflects the contents of a distributed data set that spans numerous clients and storage devices, including both primary and secondary copies, and online and offline copies. An organization may apply multiple information governance policies in a top-down manner over that unified data set and indexing schema in order to permit an organization to view and manipulate the single data set through different lenses, each of which is adapted to a particular compliance or business goal. Thus, for example, by applying an E-discovery policy and a Sarbanes-Oxley policy, two different groups of users in an organization can conduct two very different analyses of the same underlying physical set of data copies, which may be distributed throughout the organization and information management system.
• A classification policy defines a taxonomy of classification terms or tags relevant to a compliance task and/or business objective. A classification policy may also associate a defined tag with a classification rule. A classification rule defines a particular combination of criteria, such as users who have created, accessed or modified a document or data object; file or application types; content or metadata keywords; clients or storage locations; dates of data creation and/or access; review status or other status within a workflow (e.g., reviewed or un-reviewed); modification times or types of modifications; and/or any other data attributes in any combination, without limitation. A classification rule may also be defined using other classification tags in the taxonomy. The various criteria used to define a classification rule may be combined in any suitable fashion, for example, via Boolean operators, to define a complex classification rule. As an example, an E-discovery classification policy might define a classification tag “privileged” that is associated with documents or data objects that (1) were created or modified by legal department staff, or (2) were sent to or received from outside counsel via email, or (3) contain one of the following keywords: “privileged” or “attorney” or “counsel”, or other like terms.
• One specific type of classification tag, which may be added to an index at the time of indexing, is an entity tag. An entity tag may be, for example, any content that matches a defined data mask format. Examples of entity tags might include, e.g., social security numbers (e.g., any numerical content matching the formatting mask XXX-XX-XXXX) credit card numbers (e.g., content having a 13-16 digit string of numbers), SKU numbers, product numbers, etc.
• A user may define a classification policy by indicating criteria, parameters or descriptors of the policy via a graphical user interface, such as a form or page with fields to be filled in, pull-down menus or entries allowing one or more of several options to be selected, buttons, sliders, hypertext links or other known user interface tools for receiving user input, etc. For example, a user may define certain entity tags, such as a particular product number or project ID code that is relevant in the organization. In some implementations, the classification policy can be implemented using cloud-based techniques. For example, the storage devices may be cloud storage devices, and thestorage manager140 may execute cloud service provider API over a network to classify data stored on cloud storage devices.
Exemplary Secondary Copy Formatting
• The formatting and structure ofsecondary copies116 can vary, depending on the embodiment. In some cases,secondary copies116 are formatted as a series of logical data units or “chunks” (e.g., 512 MB, 1 GB, 2 GB, 4 GB, or 8 GB chunks). This can facilitate efficient communication and writing tosecondary storage devices108, e.g., according to resource availability. For example, a singlesecondary copy116 may be written on a chunk-by-chunk basis to a singlesecondary storage device108 or across multiplesecondary storage devices108. In some cases, users can select different chunk sizes, e.g., to improve throughput to tape storage devices.
• Generally, each chunk can include a header and a payload. The payload can include files (or other data units) or subsets thereof included in the chunk, whereas the chunk header generally includes metadata relating to the chunk, some or all of which may be derived from the payload. For example, during a secondary copy operation, themedia agent144,storage manager140, or other component may divide the associated files into chunks and generate headers for each chunk by processing the constituent files. The headers can include a variety of information such as file identifier(s), volume(s), offset(s), or other information associated with the payload data items, a chunk sequence number, etc. Importantly, in addition to being stored with thesecondary copy116 on thesecondary storage device108, the chunk headers can also be stored to theindex153 of the associated media agent(s)144 and/or theindex150. This is useful in some cases for providing faster processing ofsecondary copies116 during restores or other operations. In some cases, once a chunk is successfully transferred to asecondary storage device108, thesecondary storage device108 returns an indication of receipt, e.g., to themedia agent144 and/orstorage manager140, which may update theirrespective indexes153,150 accordingly. During restore, chunks may be processed (e.g., by the media agent144) according to the information in the chunk header to reassemble the files.
• Data can also be communicated within theinformation management system100 in data channels that connect theclient computing devices102 to thesecondary storage devices108. These data channels can be referred to as “data streams”, and multiple data streams can be employed to parallelize an information management operation, improving data transfer rate, among providing other advantages. Example data formatting techniques including techniques involving data streaming, chunking, and the use of other data structures in creating copies (e.g., secondary copies) are described in U.S. Pat. Nos. 7,315,923 and 8,156,086, and 8,578,120, each of which is incorporated by reference herein.
• FIGS. 1F and 1G are diagrams of example data streams170 and171, respectively, which may be employed for performing data storage operations. Referring toFIG. 1F, thedata agent142 forms thedata stream170 from the data associated with a client computing device102 (e.g., primary data112). Thedata stream170 is composed of multiple pairs ofstream header172 and stream data (or stream payload)174. The data streams170 and171 shown in the illustrated example are for a single-instanced storage operation, and astream payload174 therefore may include both single-instance (“SI”) data and/or non-SI data. Astream header172 includes metadata about thestream payload174. This metadata may include, for example, a length of thestream payload174, an indication of whether thestream payload174 is encrypted, an indication of whether thestream payload174 is compressed, an archive file identifier (ID), an indication of whether thestream payload174 is single instanceable, and an indication of whether thestream payload174 is a start of a block of data.
• Referring toFIG. 1G, thedata stream171 has thestream header172 andstream payload174 aligned into multiple data blocks. In this example, the data blocks are of size 64 KB. The first twostream header172 andstream payload174 pairs comprise a first data block of size 64 KB. Thefirst stream header172 indicates that the length of the succeedingstream payload174 is 63 KB and that it is the start of a data block. Thenext stream header172 indicates that the succeedingstream payload174 has a length of 1 KB and that it is not the start of a new data block. Immediately followingstream payload174 is a pair comprising anidentifier header176 andidentifier data178. Theidentifier header176 includes an indication that the succeedingidentifier data178 includes the identifier for the immediately previous data block. Theidentifier data178 includes the identifier that thedata agent142 generated for the data block. Thedata stream171 also includesother stream header172 andstream payload174 pairs, which may be for SI data and/or for non-SI data.
• FIG. 1H is a diagram illustrating thedata structures180 that may be used to store blocks of SI data and non-SI data on the storage device (e.g., secondary storage device108). According to certain embodiments, thedata structures180 do not form part of a native file system of the storage device. Thedata structures180 include one ormore volume folders182, one ormore chunk folders184/185 within thevolume folder182, and multiple files within thechunk folder184. Eachchunk folder184/185 includes ametadata file186/187, ametadata index file188/189, one or more container files190/191/193, and acontainer index file192/194. Themetadata file186/187 stores non-SI data blocks as well as links to SI data blocks stored in container files. Themetadata index file188/189 stores an index to the data in themetadata file186/187. The container files190/191/193 store SI data blocks. Thecontainer index file192/194 stores an index to the container files190/191/193. Among other things, thecontainer index file192/194 stores an indication of whether a corresponding block in acontainer file190/191/193 is referred to by a link in ametadata file186/187. For example, data block B2 in thecontainer file190 is referred to by a link in themetadata file187 in thechunk folder185. Accordingly, the corresponding index entry in thecontainer index file192 indicates that the data block B2 in thecontainer file190 is referred to. As another example, data block B1 in thecontainer file191 is referred to by a link in themetadata file187, and so the corresponding index entry in thecontainer index file192 indicates that this data block is referred to.
• As an example, thedata structures180 illustrated inFIG. 1H may have been created as a result of two storage operations involving twoclient computing devices102. For example, a first storage operation on a firstclient computing device102 could result in the creation of thefirst chunk folder184, and a second storage operation on a secondclient computing device102 could result in the creation of thesecond chunk folder185. The container files190/191 in thefirst chunk folder184 would contain the blocks of SI data of the firstclient computing device102. If the twoclient computing devices102 have substantially similar data, the second storage operation on the data of the secondclient computing device102 would result in themedia agent144 storing primarily links to the data blocks of the firstclient computing device102 that are already stored in the container files190/191. Accordingly, while a first storage operation may result in storing nearly all of the data subject to the storage operation, subsequent storage operations involving similar data may result in substantial data storage space savings, because links to already stored data blocks can be stored instead of additional instances of data blocks.
• If the operating system of the secondarystorage computing device106 on which themedia agent144 operates supports sparse files, then when themedia agent144 creates container files190/191/193, it can create them as sparse files. A sparse file is type of file that may include empty space (e.g., a sparse file may have real data within it, such as at the beginning of the file and/or at the end of the file, but may also have empty space in it that is not storing actual data, such as a contiguous range of bytes all having a value of zero). Having the container files190/191/193 be sparse files allows themedia agent144 to free up space in the container files190/191/193 when blocks of data in the container files190/191/193 no longer need to be stored on the storage devices. In some examples, themedia agent144 creates anew container file190/191/193 when acontainer file190/191/193 either includes 100 blocks of data or when the size of thecontainer file190 exceeds 50 MB. In other examples, themedia agent144 creates anew container file190/191/193 when acontainer file190/191/193 satisfies other criteria (e.g., it contains from approximately 100 to approximately 1000 blocks or when its size exceeds approximately 50 MB to 1 GB).
• In some cases, a file on which a storage operation is performed may comprise a large number of data blocks. For example, a 100 MB file may comprise 400 data blocks of size 256 KB. If such a file is to be stored, its data blocks may span more than one container file, or even more than one chunk folder. As another example, a database file of 20 GB may comprise over 40,000 data blocks of size 512 KB. If such a database file is to be stored, its data blocks will likely span multiple container files, multiple chunk folders, and potentially multiple volume folders. Restoring such files may require accessing multiple container files, chunk folders, and/or volume folders to obtain the requisite data blocks.
Example Information Management Environments for Implementing Lightweight Reconstruction
• FIG. 2A is a block diagram illustrating an example arrangement of resources in an information management environment. As shown,information management system200 may generally include astorage manager240, adata agent242, amedia agent244, asecondary storage device208, and, in some embodiments, may include certain other components such as aclient computing device202, a primary data orinformation store204, and amanagement database246. Such components may be similar to or the same as any of those describe above with respect toFIGS. 1A-1H, for example. As shown, themedia agent244 may include alightweight reconstruction agent210 configured to perform operations associated with lightweight data reconstruction, as will be described in greater detail.
• FIG. 2B is another block diagram illustrating an example information management environment in which aspects of the inventive systems and methods may operate. As shown,information management system250 may generally include the same or similar components as illustrated inFIG. 2A with respect to theinformation management system200. Theinformation management system250 may also include areconstruction data store280.
• In an embodiment, the actual data, once requested, may not be provided to theclient computing device202 and/or may not be provided to thedata store204 associated with theclient computing device202. Instead, the actual data may be provided to thereconstruction data store280 accessible by theclient computing device202. Thereconstruction data store280 may, and in the illustrated embodiment is, formed by one or more storage devices that are separate from theclient computing devices202 and/or theirrespective data stores204. The actual data may be stored onseparate storage device280 for a set period of time before the actual data is removed from theseparate storage device280. Thus, thereconstruction data store280 may be dedicated to lightweight data reconstruction, which is described in greater detail below, and therefore store data that is restored using the lightweight data, but not original primary data (e.g., primary data written to thedata stores204 directly by the client computing devices202) or data that is restored in a typical fashion, without using the lightweight data. This can be useful where it is desirable to reduce consumption of the primary storage (e.g., the data stores204) associated with theclient computing devices202, and avoid “repolluting” primary storage associated with theclient computing device202 with previously archived data. This may also be beneficial in situations in which the user desires to retrieve a large amount of data or in situations in which it is desired that the actual data of the search results be accessible from multiple locations on multiple devices. For example, thelightweight reconstruction agent210 described in greater detail below may be responsive to user selection of lightweight data at multipleclient computing devices202 to forward the actual data to a common storage location accessible by each of theclient computing devices202. Moreover, by storing the actual data on thereconstruction data store280, the latency of retrieving the actual data may be reduced. In addition, as shown, thereconstruction data store280 may be accessible over a network. Thus, anyclient computing device202 that has access to the network may be able to access the actual data.
Lightweight Data Reconstruction
• As used herein, “lightweight data” may include metadata or other information that identifies, is derived from, or is otherwise associated with data included in a data object. The lightweight data may be perceived by a user as being the actual data object (e.g., when the lightweight data is displayed) and provide enough information to the user to allow the user to identify data objects of interest. For example, lightweight data may include a file name (e.g., a file name of a data object), information that describes aspects of the data object (e.g., metadata, such as file ownership information, recipient information, information indicating that the data object includes body text, information indicating that the data object includes a file attachment, and/or the like), and/or a reparsed file that instructs a computing device how to restore data from secondary storage (e.g., a path to the data in secondary storage). Thus, information in the lightweight data can be used to retrieve the actual data object upon, for example, user interaction with a depiction of the lightweight data provided on a graphical user interface. Because a lightweight data file may have a smaller file size than the file size of the data object, the latency of performing a search may be reduced. In some embodiments, a single lightweight data file corresponds to a data object. In other embodiments, a plurality of lightweight data files correspond to a data object (e.g., each lightweight data file includes a portion of the metadata associated with the data object).
• As described above, the media agent(s)244 may be configured to convey data between the client computing device(s)202 and one or moresecondary storage devices208. In some circumstances, a user of one of theclient computing devices202 may wish to search through data stored in thesecondary storage devices208 to identify and retrieve a particular data object or group of data objects (e.g., one or more files). Themedia agent244 may be configured to deliver a lightweight reconstruction of the data object or group of data objects that can be displayed on theclient computing device202. For instance, in some embodiments themedia agent244 processes through data stored in thesecondary storage devices208 to identify data objects that meet the user's search criteria. Themedia agent244 may retrieve lightweight data that correspond to the data objects from the secondary copy information stored on thesecondary storage devices208 and/or derive the lightweight data form the secondary copy information, and return the lightweight data to theclient computing devices202 for presentation to the user. The user may be able to browse the results of the search and select any of the lightweight data that are of interest, and themedia agent244 may retrieve just the portion of data objects from secondary storage that correspond to the selected lightweight data.
• FIG. 3A depicts anillustrative user interface300 that enables a user to search secondary copies, such as backups, archives, and/or snapshots, stored in the secondary storage device(s)208. As illustrated, theuser interface300 includes various drop-downmenus302 and commands304. One skilled in the art will appreciate that the drop-downmenus302 and thecommands304 can be organized, grouped, and displayed in a variety of different ways. Theuser interface300 may be produced or hosted, for example, by thestorage manager240.
• Within theuser interface300, a user may be able enter search criteria. For instance, the user can enter a search term inbox310. In some embodiments, the user may also be able to refine the search. For example, the user may be able to enter additional search criteria via theoptions button314. Theuser interface300 may additionally allow the user to enter additional search criteria, which may include criteria identifying which backup, archive, or snapshot that the search should be performed in, a time period during which a data object was generated, accessed, or modified, an owner of a data object, a sender of a data object (e.g., a sender of an electronic message), a recipient of a file (e.g., a recipient of an electronic message), a file type, a folder to search, and/or the like. Depending on the implementation, such information can be specified via appropriate user input mechanism, including mouse selection of appropriate icons, drop down menus, typed entry into search fields, and the like.
• In an embodiment, once the user has entered a search term and/or selected any additional search criteria, the search term(s) and/or other filtering criteria may be transmitted by thestorage manager240 or other appropriate entity to theappropriate media agent244. Given the search term(s) and/or the other filtering criteria, themedia agent244 can locate the data object, and in particular thelightweight reconstruction agent210, may locate data object(s) in thesecondary storage devices208 that match the search term(s) and/or the other filtering criteria. For instance, as discussed above, themedia agents244 or other components in the system may maintain a content index usable to locate objects stored in secondary storage, and thelightweight reconstruction agent210 may use the content index to locate the data object(s) in thesecondary storage devices208 that match the search term(s) and/or the other filtering criteria.
• In some embodiments, themedia agent244 identifies the data objects that match the search term(s) and/or other filtering criteria, but may not retrieve the actual data of the data objects from one or more of thesecondary storage devices208. Rather, themedia agent244 may retrieve some or all of the metadata associated with the data objects from one or more of thesecondary storage devices208. When the data object is initially backed up, archived, or a snapshot is taken for storage in secondary storage, thelightweight reconstruction agent210 may generate a stored copy of the data object that includes three parts: a header, a metadata portion, and an actual data portion. For example, the header may include a datapath, identify the particular data object, and/or other like information. The metadata portion and the header may be separated by a demarcation (e.g., a character, whitespace, and/or the like inserted between the end of the header and the beginning of the metadata portion that is recognized as a boundary and a beginning of the metadata portion). Likewise, the metadata portion and the actual data portion may be separated with a demarcation (e.g., a character, whitespace, and/or the like inserted between the end of the metadata portion and the beginning of the actual data portion that is recognized as a boundary and an end of the metadata portion).
• FIG. 4 illustrates example copies of data objects stored in secondary storage, such as the one or moresecondary storage devices208. As illustrated inFIG. 4, data objects401A,401B, and so on (e.g., up to401N) may be stored consecutively. In some embodiments, not shown, the data objects401A-N may be separated by a demarcation. Each data object401A-N includes aheader410A-N, metadata420A-N, afirst demarcation415A-N that separates theheader410A-N from themetadata420A-N,data430A-N, and a second demarcation that separates themetadata420A-N from thedata430A-N.
• In typical systems, the metadata of a data object is stored in an index along with the metadata for other data objects. However, it can be costly to include too much information in the index (e.g., the metadata can include a large amount of data that could increase the file size of the index devoted to a particular data object). Accordingly, the metadata stored in the index may be concatenated. The generation of lightweight data, however, may not be possible with concatenated metadata. Thus, the metadata portion described herein may include all or substantially of the metadata associated with the data object (e.g., metadata that is not concatenated) and/or may be stored together with the data object instead of in an index. The demarcations described above may allow themedia agent244 to identify and retrieve the metadata and not the actual data.
• In an embodiment, thelightweight reconstruction agent210 constructs lightweight data based on the metadata. As an example, if the data object is an electronic message, the metadata may include recipient information, sender information, attachment information such as information indicating whether an attachment exists, flag information (e.g., whether the message has been read, whether the message is important, etc.), and/or the like. Thelightweight reconstruction agent210 can process the metadata to construct lightweight data, which may be transmitted by themedia agent244 to theclient computing device202 for display to a user.
• As described above, theclient computing device202 may initially receive the lightweight data, but not the actual data (e.g., payload data) of the data objects from secondary storage that the lightweight data corresponds to. Theclient computing device202 may then generate a graphical depiction of the lightweight data. In an embodiment, theclient computing device202 may display the graphical depiction of the lightweight data such that it is presented in association with the file system of theclient computing device202. For example, the graphical depiction of the lightweight data may be displayed in association with a drive or partition from which the data objects that correspond to the lightweight data were originally backed up, archived, or had a snapshot taken. As another example, the graphical depiction of the lightweight data may be displayed in a new drive or partition within the file system of theclient computing device202.
• In some embodiments, just the graphical depiction of the lightweight data (and just the folders from which data objects that correspond to the lightweight data were originally located) that correspond to the data objects in the secondary storage that match the search term(s) and/or other filtering criteria are displayed by theclient computing device202. In other embodiments, all folders and data objects in a file system are viewable in the display provided by theclient computing device202; however, folders that originally did not include data objects that correspond to the lightweight data may be shaded or otherwise identified as not matching the search term(s) and/or other filtering criteria.
• FIG. 3B depicts anillustrative user interface350 that enables a user to browse through a lightweight data reconstruction of production data. As illustrated, theuser interface350 includes various drop-downmenus352 and commands354. One skilled in the art will appreciate that the drop-downmenus352 and thecommands354 can be organized, grouped, and displayed in a variety of different ways. Theuser interface350 may be generated by the operating system of theclient computing device202. In an embodiment, theuser interface350 represents the view produced by the operating system when a user attempts to browse through the file system of theclient computing device202.
• In an embodiment, theuser interface350 displays the results of a search performed based on the search term(s) and/or other filtering criteria. As described above, the results may be displayed as if accessible via a file system. A user may browse a drive, such as the C:\ drive, by expanding and contracting folders, such asfolder318A. However, as described above, themedia agent244 may not immediately retrieve the data objects in the secondary storage that match the search term(s) and/or other filtering criteria. Accordingly, the C:\ drive merely provides a listing of folders and files represented as lightweight data. Initially, the copies of the data objects in the secondary storage remain in the one or moresecondary storage devices208.
• As illustrated inFIG. 3B, the partial file system includes three folders,folder318A,folder318B, andfolder318C, and anemail exchange folder336. In an embodiment,folder318A may be expanded as indicated by the “+” in the box to the left of thefolder318A icon. However,folder318B may not be expanded as indicated by the fact that the box to the left of thefolder318B icon is shaded. Becausefolder318A may be expanded, this may indicate that it includes lightweight data that corresponds to a data object in the secondary storage that matches the search term(s) and/or other filtering criteria. Becausefolder318B may not be expanded, this may indicate that it does not include lightweight data that corresponds to a data object in the secondary storage that matches the search term(s) and/or other filtering criteria. WhileFIG. 3B illustratesfolder318B as being shaded,folder318B may be marked in any way (e.g., a special icon, a different font, highlighting, etc.) to indicate that it does not include lightweight data that corresponds to a data object in the secondary storage that matches the search term(s) and/or other filtering criteria.
• As illustrated inFIG. 3B,folder318C is expanded, and includes lightweight data that correspond to data objects that match the search term(s) and/or other filtering criteria. Lightweight data may be graphically represented as adocument320′, a spreadsheet325′, apresentation330′, a music or video file332′, and/or animage file334′. WhileFIG. 3B depictsfolder318C as including thedocument320′, the spreadsheet325′, thepresentation330′, the music or video file332′, and theimage file334′, thefolder318C may include or not include any type of file. In addition, thefolder318C may only display a graphical depiction of lightweight data that correspond to those data objects that match the search term(s) and/or other filtering criteria. In some embodiments, not shown, hovering over one of thedocument320′, the spreadsheet325′, thepresentation330′, the music or video file332′, or theimage file334′ produces a preview window that includes a graphical depiction of some or all of the lightweight data associated with the chosen file.
• As illustrated inFIG. 3B, theemail exchange folder336 is also expanded, and includes a list ofmailboxes338A-B that each include lightweight data that correspond to data objects that match the search term(s) and/or other filtering criteria. Specifically, eachmailbox338A and338B includes one or more lightweight data that correspond to electronic messages, such aselectronic message345′, that match the search term(s) and/or other filtering criteria.
• In an embodiment, a user may select any one or more of the lightweight data files (e.g., by hovering over the file, by clicking the file, by double-clicking the file, by a gesture, by voice commands, etc.) in order to retrieve the data objects from secondary storage. For example, if the user selects theimage file334′, theclient computing device202 may send a transmission to the media agent244 (e.g., via the storage manager240) indicating that theimage file334′ has been selected. Themedia agent244, for example via thelightweight reconstruction agent210, may retrieve theimage file334′ from one or more of thesecondary storage devices208, and transmit theimage file334′ to theclient computing device202.
• FIG. 3C depicts anotherillustrative user interface360 that enables a user to browse through a lightweight data reconstruction of production data. As illustrated inFIG. 3C, when a user selects (e.g., via a mouse right-click) one of thedocument320′, the spreadsheet325′, thepresentation330′, the music or video file332′, or theimage file334′, anew window366 may appear. Thewindow366 may include two or more selectable options. For example, thewindow366 may include a viewactual data button368 and a viewlightweight reconstruction button369. Selection of the viewactual data button368 may cause themedia agent244 to retrieve the actual copies of the data objects from the one or moresecondary storage devices208 and transmit such data to theclient computing device202 for display. Selection of the viewlightweight reconstruction button369 may cause the media agent244 (e.g., and specifically the lightweight reconstruction agent210) to generate a lightweight reconstruction of the copies of the data objects stored in the one or moresecondary storage devices208 and transmit the lightweight reconstruction to theclient computing device202 for display.
• FIG. 3D depicts anotherillustrative user interface370 that enables a user to browse through a lightweight data reconstruction of copies of production data. As illustrated inFIG. 3D, theuser interface370 includes various drop-downmenus372 and commands374. One skilled in the art will appreciate that the drop-downmenus372 and thecommands374 can be organized, grouped, and displayed in a variety of different ways. Theuser interface370 may be generated by the operating system of theclient computing device202. In an embodiment, theuser interface370 represents the view produced by the operating system when a user performs a search within an electronic message client (e.g., withinmailbox338A before any prior search is performed, such as is described with respect toFIG. 3A). In another embodiment, theuser interface370 represents the view produced by the operation system when a user selects themailbox338A as displayed in theuser interface350.
• In an embodiment, theuser interface370 displays a graphical depiction of lightweight data that represent electronic messages that match the search term(s) and/or other filtering criteria. For example,mailbox338A includes lightweight data represented aselectronic message345′,electronic message346′, andelectronic message347′. The lightweight data represented aselectronic message346′ may also include information that indicates that electronic message346 (e.g., the actual data object) includes anattachment356, which is represented aslightweight data356′. As illustrated inFIG. 3D, each ofelectronic messages345′,346′, and347′ display metadata, such as recipient information and a subject line. In some embodiments, the metadata may not include the body of an electronic message. Thus, the body of an electronic message may not be initially displayed when the graphical depiction of the lightweight data is displayed. Eachelectronic message345′,346′, and347′ may include a notice that indicates that the body of the electronic message may be viewable if the respectiveelectronic message345′346′, or347′ is selected. In an another embodiment, the lightweight data includes some subset of the body of the message (e.g., the first sentence or a portion thereof), which is displayed to the user in association with the other lightweight data.
• FIG. 3E depicts anillustrative user interface390 that enables a user to browse through a portion of a copy of production data and a lightweight data reconstruction of a portion of the copy of production data. As illustrated inFIG. 3E, theuser interface390 includes various drop-downmenus392 and commands394. One skilled in the art will appreciate that the drop-downmenus392 and thecommands394 can be organized, grouped, and displayed in a variety of different ways. Theuser interface390 may be generated by the operating system of theclient computing device202.
• In an embodiment, theuser interface390 represents the view produced by the operating system when a user selected the lightweight data represented aselectronic message346′. Upon the selection of theelectronic message346′, theclient computing device202 may request some or all of the actual data that corresponds with theelectronic message346′ from the secondary storage (via the media agent244). For example, theclient computing device202 may request the body text of theelectronic message346. Theclient computing device202 may identify a location of the actual data in secondary storage based on the information provided in the lightweight data, and provide this location to the media agent244 (e.g., via the storage manager240) so that themedia agent244 can retrieve the appropriate data.
• As illustrated inFIG. 3E,window396 of theuser interface390 displays the actual data of theelectronic message346 that is retrieved from secondary storage. For example, thewindow396 includes the body text of theelectronic message346. In some embodiments, thewindow396 continues to display some or all of the lightweight data that corresponds withelectronic message346. For example, thewindow396 includes the recipient information, the subject line, and an indication that anattachment356 is included in electronic message346 (represented aslightweight data356′). In other embodiments, some or all of the lightweight data is replaced with actual data. For example, the lightweight recipient information may be replaced with the actual recipient information.
• In an embodiment, if the user selectslightweight data356′, theclient computing device202 transmits a request to themedia agent244 to retrieve theattachment356. As described above, theclient computing device202 may provide a location of theattachment356 in secondary storage based on the path information provided inlightweight data356′.
• The initial retrieval of lightweight data may reduce latency associated with restore operations. In general, a user may not be interested in each of the search results that are produced based on the search term(s) and/or other filtering criteria. The user instead may be interested in a few of the search results. Thus, it may be unnecessary to retrieve all of the actual data associated with all of the search results. Because the metadata, and ultimately the constructed lightweight data, has a smaller file size than the actual data, initially retrieving the lightweight data can reduce the amount of time taken to display the search results to the user, yet provide enough information such that the user can identify the search results that are of interest. Moreover, in some existing systems, stubs are provided in primary storage for all of the files or other data objects stored in secondary storage, such as for archived copies of primary data. In such systems, the stub files can consume a relatively large amount of primary storage. On the other hand, the lightweight reconstruction techniques according to certain embodiments provide lightweight data for only a filtered subset of secondary copy data, reducing primary storage consumption.
Lightweight Data Restoration Process
• FIG. 5 shows a flow diagram illustrative of embodiments of a routine400 implemented by aclient computing device202 for restoring lightweight data. The elements outlined for routine500 may be implemented by one or more client computers/components that are associated with theclient computing device202. For example, routine500 can be implemented by any one, or a combination of the operating system of theclient computing device202, an application running on theclient computing device202,data agent242, and the like. Accordingly, routine500 has been logically associated as being generally performed by theclient computing device202, and thus the following illustrative embodiment should not construed as limiting.
• Atblock502, the routine500 transmits filtering criteria to a secondary storage computing device (e.g., a media agent) that is in communication with one or more secondary storage devices. In an embodiment, the secondary storage computing device has access to a listing of data objects contained in one or more secondary copies stored in the one or more secondary storage devices. In a further embodiment, the secondary storage computing device is configured to access metadata associated with the data objects. In a further embodiment, the filtering criteria include a search term and/or other criteria to further refine the filtering of data objects. The filtering criteria may be transmitted via thestorage manager240.
• Atblock504, the routine500 receives lightweight data corresponding to each data object that the secondary storage computing device identifies as satisfying the filtering criteria. In an embodiment, the lightweight data is constructed based on the accessed metadata. For example, the lightweight data may include the accessed metadata and an indication of a location of the actual data stored in the one or more secondary storage devices that corresponds with the metadata. The lightweight data may be constructed by the secondary storage computing device.
• Atblock506, the routine500 receives a selection of at least a portion of the lightweight data. For example, a user may select lightweight data that represents an electronic message. The user may select the lightweight data with the understanding that the user is viewing and selecting the actual data.
• Atblock508, the routine500 transmits a request to retrieve each data object that corresponds to the selection. In an embodiment, the request includes a location of the respective data objects based on information provided in the lightweight data. The request may be transmitted via thestorage manager240.
• Atblock510, the routine500 receives each data object that corresponds to the selection. In an embodiment, the data object is received from the secondary storage computing device, which retrieves the data object from the one or more secondary storage devices based on information stored in the selected lightweight data. The data object may be displayed to the user.
Lightweight Data Construction Process
• FIG. 6 shows a flow diagram illustrative of embodiments of a routine600 implemented by amedia agent244 for constructing lightweight data. The elements outlined for routine600 may be implemented by one or more computing devices/components that are associated with themedia agent244. For example, routine600 can be implemented by thelightweight reconstruction agent210. Accordingly, routine600 has been logically associated as being generally performed by themedia agent244, and thus the following illustrative embodiment should not construed as limiting.
• Atblock602, the routine600 receives filtering criteria. In an embodiment, the filtering criteria include a search term and/or other criteria to further refine the filtering of data objects. The filtering criteria may be received via thestorage manager240.
• Atblock604, the routine600 identifies one or more data objects that satisfy the filtering criteria. In an embodiment, one or more secondary storage devices include data objects that satisfy the filtering criteria and data objects that do not satisfy the filtering criteria.
• Atblock606, the routine600 retrieves metadata corresponding to each data object identified as satisfying the filtering criteria. In an embodiment, the file stored in the one or more secondary storage devices that represents the data object includes demarcations such that the metadata can be identified and isolated from the file header and the actual data.
• Atblock608, the routine600 constructs lightweight data based on the requested metadata. In an embodiment, each lightweight data corresponds to each data object identified as satisfying the filtering criteria. The lightweight data may include the metadata and an indication of a location of the actual data stored in the one or more secondary storage devices that corresponds with the metadata.
• Atblock610, the routine600 transmits the constructed lightweight data. In an embodiment, the constructed lightweight data is transmitted to thestorage manager240.
• Atblock612, the routine600 receives a request to retrieve each data object that corresponds to at least a portion of lightweight data selected by a user. For example, a user may select lightweight data that represents an electronic message. The user may select the lightweight data with the understanding that the user is viewing and selecting the actual data. The selection may cause the generation of an instruction to retrieve the actual data that corresponds with the selected lightweight data.
• Atblock614, the routine600 retrieves one or more data objects that correspond to at least the portion of the lightweight data selected by the user. In an embodiment, the data objects that correspond to the lightweight data are retrieved from the one or more secondary storage devices.
• Atblock616, the routine600 transmits each data object that corresponds to at least the portion of the lightweight data selected by the user. In an embodiment, the data objects are transmitted to thestorage manager240.
Lightweight Data Restoration Process
• FIG. 7 shows a flow diagram illustrative of embodiments of a routine700 implemented by aclient computing device202 for displaying a graphical depiction of lightweight data. The elements outlined for routine700 may be implemented by one or more client components that are associated with theclient computing device202. For example, routine700 can be implemented by any one, or a combination of the operating system of theclient computing device202, an application running on theclient computing device202,data agent242, and the like. Accordingly, routine700 has been logically associated as being generally performed by theclient computing device202, and thus the following illustrative embodiment should not construed as limiting.
• Atblock702, the routine700 receives filtering criteria from a user. In an embodiment, the user provides the filtering criteria to identify and restore one or more data objects that satisfy the filtering criteria from one or more secondary storage devices.
• Atblock704, the routine700 displays results of a search performed based on the filtering criteria. In an embodiment, the results comprise lightweight data corresponding to the one or more data objects. In a further embodiment, the lightweight data is displayed as if the one or more data objects are restored from the one or more secondary storage devices.
Backup Process to Enable Lightweight Data Construction
• FIG. 8 shows a flow diagram illustrative of embodiments of a routine700 implemented by aclient computing device202 for creating a secondary copy of production data that can be reconstructed in a lightweight manner. The elements outlined for routine800 may be implemented by one or more client components that are associated with theclient computing device202. For example, routine800 can be implemented by any one, or a combination of the operating system of theclient computing device202, an application running on theclient computing device202,data agent242, and the like. Accordingly, routine800 has been logically associated as being generally performed by theclient computing device202, and thus the following illustrative embodiment should not construed as limiting.
• Atblock802, the routine800 receives a request to create a secondary copy of a data object. In an embodiment, the data object comprises data and metadata.
• Atblock804, the routine800 extracts the data and the metadata from the data object. In an embodiment, the data object is parsed to extract the data and the metadata.
• Atblock806, the routine800 generates a file based on the data object. In an embodiment, the file comprises the metadata, the data, and a demarcation between the metadata and the data.
• Atblock808, the routine800 transmits the file to a secondary storage for storage. In an embodiment, lightweight data can be constructed based on the file stored in tone or more secondary storage devices.
Further Embodiments and Explanation of Terminology
• Storage operations compatible with embodiments described herein will now be described. For example, data can be stored in primary storage as a primary copy or in secondary storage as various types of secondary copies including, as a backup copy, a snapshot copy, a hierarchical storage management copy (“HSM”), an archive copy, and other types of copies.
• A primary copy of data according to some embodiments is a production copy or other “live” version of the data which is used by a software application and is generally in the native format of that application. Such primary copy data is typically intended for short term retention (e.g., several hours or days) before some or all of the data is stored as one or more secondary copies, such as, for example, to prevent loss of data in the event a problem occurred with the data stored in primary storage.
• Secondary copies can include point-in-time data and are typically intended for long-term retention (e.g., weeks, months or years) before some or all of the data is moved to other storage or is discarded. Secondary copies may be indexed so users can browse and restore the data at another point in time. After certain primary copy data is backed up, a pointer or other location indicia such as a stub may be placed in the primary copy to indicate the current location of that data.
• One type of secondary copy is a backup copy. A backup copy in some embodiments is a copy of production data and, in some embodiments, can be stored in a backup format, e.g., as opposed to a native application format. For example, a backup copy may be stored in a backup format that facilitates compression and/or efficient long-term storage. Backup copies generally have relatively long retention periods and may be stored on media with slower retrieval times than other types of secondary copies and media. In some cases, backup copies may be stored at on offsite location.
• Another form of secondary copy is a snapshot copy. From an end-user viewpoint, in some embodiments, a snapshot may be thought of as an instant image of the primary copy data at a given point in time. A snapshot generally captures the directory structure of a primary copy volume at a particular moment in time and may also preserve file attributes and contents. In some embodiments, a snapshot may exist as a virtual file system, parallel to the actual file system. Users typically gain read-only access to the record of files and directories of the snapshot. By electing to restore primary copy data from a snapshot taken at a given point in time, users may also return the current file system to the state of the file system that existed when the snapshot was taken.
• A snapshot in some cases is created substantially instantly, using a minimum amount of file space, but may still function as a conventional file system backup. Some types of snapshots do not actually create another physical copy of all the data, but may simply create pointers that are able to map files and directories to specific disk blocks.
• In some embodiments, once a snapshot has been taken, subsequent changes to the file system typically do not overwrite the blocks in use at the time of the snapshot. Therefore, the initial snapshot may use only a small amount of disk space needed to record a mapping or other data structure representing or otherwise tracking the blocks that correspond to the current state of the file system. Additional disk space is usually required only when files and directories are actually modified later. Furthermore, when files are modified, typically only the pointers which map to blocks are copied, not the blocks themselves. In some embodiments, for example in the case of copy-on-write snapshots, when a block changes in primary storage, the block is copied to secondary storage before the block is overwritten in primary storage. The snapshot mapping of file system data is also updated to reflect the changed block(s) at that particular point in time.
• An HSM copy can be a copy of the primary copy data but typically includes only a subset of the primary copy data that meets a certain criteria and is usually stored in a format other than the native application format. For example, an HSM copy may include data from the primary copy that is larger than a given size threshold or older than a given age threshold and that is stored in a backup format. Often, HSM data is removed from the primary copy, and a stub is stored in the primary copy to indicate the new location of the HSM data. When a user requests access to the HSM data that has been removed or migrated, systems use the stub to locate the data and often make recovery of the data appear transparent, even though the HSM data may be stored at a location different from the remaining primary copy data.
• An archive copy according to some embodiments is generally similar to an HSM copy. However, the data satisfying criteria for removal from the primary copy is generally completely removed with no stub left in the primary copy to indicate the new location (i.e., where the archive copy data has been moved to). Archive copies of data are sometimes stored in a backup format or other non-native application format. In addition, archive copies are generally retained for very long periods of time (e.g., years) and, in some cases, are never deleted. In certain embodiments, such archive copies may be made and kept for extended periods in order to meet compliance regulations or for other permanent storage applications.
• In some embodiments, application data over its lifetime moves from more expensive quick access storage to less expensive slower access storage. This process of moving data through these various tiers of storage is sometimes referred to as information lifecycle management (“ILM”). This is the process by which data is “aged” from forms of primary storage with faster access/restore times down through less expensive secondary storage with slower access/restore times. For example, such aging may occur as data becomes less important or mission critical over time.
• Similar data transfers associated with location-specific criteria are performed when restoring data from secondary storage to primary storage. For example, to restore data a user or system process generally must specify a particular secondary storage device, piece of media, or archive file. Thus, the precision with which conventional storage management systems perform storage operations on electronic data is generally limited by the ability to define or specify storage operations based on data location.
Example Embodiments
• One aspect of the disclosure provides a networked information management system comprising a user computing device configured to transmit filtering criteria to a media agent that is in communication with secondary storage. The secondary storage may maintain a listing of data objects. The media agent may be configured to access metadata associated with the data objects. The user computing device may be further configured to receive, from the media agent, lightweight data corresponding to each data object that the media agent identifies as satisfying the filtering criteria. The lightweight data may be constructed based on the accessed metadata. The user computing device may be further configured to receive a selection of at least a portion of the lightweight data. The user computing device may be further configured to transmit, to the media agent, a request to retrieve each data object that corresponds to the selection. The user computing device may be further configured to receive, from the media agent, each data object that corresponds to the selection.
• Another aspect of the disclosure provides a computer-implemented method for restoring data. The computer-implemented method comprises transmitting, by a user computing device, filtering criteria to a media agent that is in communication with secondary storage. The secondary storage may maintain a listing of data objects. The media agent may be configured to access metadata associated with the data objects. The computer-implemented method further comprises receiving, by the user computing device from the media agent, lightweight data corresponding to each data object that the media agent identifies as satisfying the filtering criteria. The lightweight data may be constructed based on the accessed metadata. The computer-implemented method further comprises receiving, by the user computing device, a selection of at least a portion of the lightweight data. The computer-implemented method further comprises transmitting, by the user computing device to the media agent, a request to retrieve each data object that corresponds to the selection. The computer-implemented method further comprises receiving, by the user computing device from the media agent, each data object that corresponds to the selection.
• Another aspect of the disclosure provides a networked information management system comprising a storage manager executing in one or more processors and configured to cause a graphical user interface to be presented on a display. The graphical user interface may comprise a filter field. The networked information management system further comprises a secondary storage device configured to maintain a listing of data objects and metadata associated with the data objects. The networked information management system further comprises a secondary storage computing device (e.g., a media agent), executing in one or more processors and in communication with the secondary storage device, configured, in response to instructions from the storage manager, to receive filtering criteria from the storage manager. The media agent may be further configured to identify one or more data objects that satisfy the filtering criteria. The media agent may be further configured to retrieve, from the secondary storage, metadata corresponding to each data object identified as satisfying the filtering criteria. The media agent may be further configured to construct lightweight data based on the requested metadata. Each lightweight data may correspond to each data object identified as satisfying the filtering criteria. The media agent may be further configured to transmit, to the storage manager, the constructed lightweight data. The media agent may be further configured to receive, from the storage manager, a request to retrieve each data object that corresponds to at least a portion of lightweight data selected by a user. The media agent may be further configured to retrieve, from the secondary storage, one or more data objects that correspond to at least the portion of the lightweight data selected by the user. The media agent may be further configured to transmit, to the storage manager, each data object that corresponds to at least the portion of the lightweight data selected by the user.
• The networked information management system of the preceding paragraph can have any sub-combination of the following features: where the filtering criteria comprises one or more rules that identify one or more electronic messages; where the data objects listed in the secondary storage device comprise first data objects that correspond to unidentified data objects that do not match the filtering criteria and second data objects that correspond to identified data objects that do match the filtering criteria; and where the lightweight data each comprise recipient information for each respective data object that the media agent identifies as satisfying the filtering criteria.
• Another aspect of the disclosure provides a computer-implemented method for restoring data. The computer-implemented method comprises receiving, from a storage manager, filtering criteria. The computer-implemented method further comprises identifying one or more data objects that satisfy the filtering criteria. The computer-implemented method further comprises retrieving, from the secondary storage, metadata corresponding to each data object identified as satisfying the filtering criteria. The computer-implemented method further comprises constructing lightweight data based on the requested metadata. Each lightweight data may correspond to each data object identified as satisfying the filtering criteria. The computer-implemented method further comprises transmitting, to the storage manager, the constructed lightweight data. The computer-implemented method further comprises receiving, from the storage manager, a request to retrieve each data object that corresponds to at least a portion of lightweight data selected by a user. The computer-implemented method further comprises retrieving, from the secondary storage, one or more data objects that correspond to at least the portion of the lightweight data selected by the user. The computer-implemented method further comprises transmitting, to the storage manager, each data object that corresponds to at least the portion of the lightweight data selected by the user.
• Another aspect of the disclosure provides a user interface for a networked information management system, one or more processors in a computing device configured to execute instructions for generating the user interface. The user interface comprises a filter field configured to receive filtering criteria from a user, the user providing the filtering criteria to identify and restore one or more data objects that satisfy the filtering criteria from secondary storage. The user interface further comprises a results window configured to display results of a search performed based on the filtering criteria. The results may comprise lightweight data corresponding to the one or more data objects. The lightweight data may be displayed as if the one or more data objects are restored from the secondary storage.
• The user interface of the preceding paragraph can have any sub-combination of the following features: where the computing device receives at least a portion of the one or more data objects in connection with a selection of at least a portion of the lightweight data that corresponds with the portion of the one or more data objects; where the results window is further configured to display the portion of the one or more data objects in place of the portion of the lightweight data; where first lightweight data of the lightweight data corresponds with a first data object of the one or more data objects, and where the first lightweight data comprises an indication that a file is included in the first data object; where the results window is further configured to display the file in connection with a selection of the first lightweight data by the user; and where the computing device is further configured to receive the file from the secondary storage in connection with the selection.
• Another aspect of the disclosure provides a computer-implemented method for displaying restored information. The computer-implemented method comprises, as implemented by one or more computing devices configured with specific computer-executable instructions to generate a user interface, receiving filtering criteria from a user. The user may provide the filtering criteria to identify and restore one or more data objects that satisfy the filtering criteria from secondary storage. The computer-implemented method further comprises displaying results of a search performed based on the filtering criteria. The results may comprise lightweight data corresponding to the one or more data objects. The lightweight data may be displayed as if the one or more data objects are restored from the secondary storage.
• The computer-implemented method of the preceding paragraph can have any sub-combination of the following features: where the method further comprises receiving at least a portion of the one or more data objects in connection with a selection of at least a portion of the lightweight data that corresponds with the portion of the one or more data objects; where the method further comprises displaying the portion of the one or more data objects in place of the portion of the lightweight data; where first lightweight data of the lightweight data corresponds with a first data object of the one or more data objects, and where the first lightweight data comprises an indication that a file is included in the first data object; where the method further comprises displaying the file in connection with a selection of the first lightweight data by the user; and where the method further comprises receiving the file from the secondary storage in connection with the selection.
• Another aspect of the disclosure provides a networked information management system comprising a user computing device comprising a data agent configured to receive a request to create a secondary copy of a data object. The data object may comprise data and metadata. The data agent may be further configured to extract the data and the metadata from the data object. The data agent may be further configured to generate a file based on the data object. The file may comprise the metadata, the data, and a demarcation between the metadata and the data. The data agent may be further configured to transmit the file to a secondary storage for storage.
• The networked information management system of the preceding paragraph can have any sub-combination of the following features: where the file further comprises a header; where the file further comprises a first demarcation between the header and the metadata and the demarcation between the metadata and the data; where the metadata of the file is an unconcatenated version of the metadata of the data object; where the user computing device is further configured to receive lightweight data that corresponds to the data object based on the file stored in the secondary storage, and where the lightweight data is constructed based on the metadata in the file; and where the user computing device is further configured to transmit, to a media agent, a request for the data object, wherein the media agent identifies a location of the metadata in the secondary storage by parsing the file based on the demarcation and the first demarcation and receive the lightweight data from the media agent.
• Another aspect of the disclosure provides a computer-implemented method for storing data. The computer-implemented method comprises receiving, by a user computing device, a request to create a secondary copy of a data object. The data object may comprise data and metadata. The computer-implemented method further comprises extracting, by the user computing device, the data and the metadata from the data object. The computer-implemented method further comprises generating, by the user computing device, a file based on the data object. The file may comprise the metadata, the data, and a demarcation between the metadata and the data. The computer-implemented method further comprises transmitting, by the user computing device, the file to a secondary storage for storage.
• The computer-implemented method of the preceding paragraph can have any sub-combination of the following features: where the file further comprises a header; where the file further comprises a first demarcation between the header and the metadata and the demarcation between the metadata and the data; where the metadata of the file is an unconcatenated version of the metadata of the data object; where the method further comprises receiving lightweight data that corresponds to the data object based on the file stored in the secondary storage, and where the lightweight data is constructed based on the metadata in the file; and where the method further comprises transmitting, to a media agent, a request for the data object, where the media agent identifies a location of the metadata in the secondary storage by parsing the file based on the demarcation and the first demarcation, and receiving the lightweight data from the media agent.
Terminology
• Conditional language, such as, among others, “can,” “could,” “might,” or “may,” unless specifically stated otherwise, or otherwise understood within the context as used, is generally intended to convey that certain embodiments include, while other embodiments do not include, certain features, elements and/or steps. Thus, such conditional language is not generally intended to imply that features, elements and/or steps are in any way required for one or more embodiments or that one or more embodiments necessarily include logic for deciding, with or without user input or prompting, whether these features, elements and/or steps are included or are to be performed in any particular embodiment.
• Unless the context clearly requires otherwise, throughout the description and the claims, the words “comprise,” “comprising,” and the like are to be construed in an inclusive sense, as opposed to an exclusive or exhaustive sense; that is to say, in the sense of “including, but not limited to.” As used herein, the terms “connected,” “coupled,” or any variant thereof means any connection or coupling, either direct or indirect, between two or more elements; the coupling or connection between the elements can be physical, logical, or a combination thereof. Additionally, the words “herein,” “above,” “below,” and words of similar import, when used in this application, refer to this application as a whole and not to any particular portions of this application. Where the context permits, words in the above Detailed Description using the singular or plural number may also include the plural or singular number respectively. The word “or” in reference to a list of two or more items, covers all of the following interpretations of the word: any one of the items in the list, all of the items in the list, and any combination of the items in the list. Likewise the term “and/or” in reference to a list of two or more items, covers all of the following interpretations of the word: any one of the items in the list, all of the items in the list, and any combination of the items in the list.
• Depending on the embodiment, certain operations, acts, events, or functions of any of the algorithms described herein can be performed in a different sequence, can be added, merged, or left out altogether (e.g., not all are necessary for the practice of the algorithms). Moreover, in certain embodiments, operations, acts, functions, or events can be performed concurrently, e.g., through multi-threaded processing, interrupt processing, or multiple processors or processor cores or on other parallel architectures, rather than sequentially.
• Systems and modules described herein may comprise software, firmware, hardware, or any combination(s) of software, firmware, or hardware suitable for the purposes described herein. Software and other modules may reside and execute on servers, workstations, personal computers, computerized tablets, PDAs, and other computing devices suitable for the purposes described herein. Software and other modules may be accessible via local memory, via a network, via a browser, or via other means suitable for the purposes described herein. Data structures described herein may comprise computer files, variables, programming arrays, programming structures, or any electronic information storage schemes or methods, or any combinations thereof, suitable for the purposes described herein. User interface elements described herein may comprise elements from graphical user interfaces, interactive voice response, command line interfaces, and other suitable interfaces.
• Further, the processing of the various components of the illustrated systems can be distributed across multiple machines, networks, and other computing resources. In addition, two or more components of a system can be combined into fewer components. Various components of the illustrated systems can be implemented in one or more virtual machines, rather than in dedicated computer hardware systems and/or computing devices. Likewise, the data repositories shown can represent physical and/or logical data storage, including, for example, storage area networks or other distributed storage systems. Moreover, in some embodiments the connections between the components shown represent possible paths of data flow, rather than actual connections between hardware. While some examples of possible connections are shown, any of the subset of the components shown can communicate with any other subset of components in various implementations.
• Embodiments are also described above with reference to flow chart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products. Each block of the flow chart illustrations and/or block diagrams, and combinations of blocks in the flow chart illustrations and/or block diagrams, may be implemented by computer program instructions. Such instructions may be provided to a processor of a general purpose computer, special purpose computer, specially-equipped computer (e.g., comprising a high-performance database server, a graphics subsystem, etc.) or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor(s) of the computer or other programmable data processing apparatus, create means for implementing the acts specified in the flow chart and/or block diagram block or blocks.
• These computer program instructions may also be stored in a non-transitory computer-readable memory that can direct a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the acts specified in the flow chart and/or block diagram block or blocks. The computer program instructions may also be loaded onto a computing device or other programmable data processing apparatus to cause a series of operations to be performed on the computing device or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the acts specified in the flow chart and/or block diagram block or blocks.
• Any patents and applications and other references noted above, including any that may be listed in accompanying filing papers, are incorporated herein by reference. Aspects of the invention can be modified, if necessary, to employ the systems, functions, and concepts of the various references described above to provide yet further implementations of the invention.
• These and other changes can be made to the invention in light of the above Detailed Description. While the above description describes certain examples of the invention, and describes the best mode contemplated, no matter how detailed the above appears in text, the invention can be practiced in many ways. Details of the system may vary considerably in its specific implementation, while still being encompassed by the invention disclosed herein. As noted above, particular terminology used when describing certain features or aspects of the invention should not be taken to imply that the terminology is being redefined herein to be restricted to any specific characteristics, features, or aspects of the invention with which that terminology is associated. In general, the terms used in the following claims should not be construed to limit the invention to the specific examples disclosed in the specification, unless the above Detailed Description section explicitly defines such terms. Accordingly, the actual scope of the invention encompasses not only the disclosed examples, but also all equivalent ways of practicing or implementing the invention under the claims.
• To reduce the number of claims, certain aspects of the invention are presented below in certain claim forms, but the applicant contemplates the various aspects of the invention in any number of claim forms. For example, while only one aspect of the invention is recited as a means-plus-function claim under 35 U.S.C sec. 112(f) (AIA), other aspects may likewise be embodied as a means-plus-function claim, or in other forms, such as being embodied in a computer-readable medium. Any claims intended to be treated under 35 U.S.C. §112(f) will begin with the words “means for”, but use of the term “for” in any other context is not intended to invoke treatment under 35 U.S.C. §112(f). Accordingly, the applicant reserves the right to pursue additional claims after filing this application, in either this application or in a continuing application.

Claims (20)

What is claimed is:

1. A networked information management system comprising:

a client computing device comprising computer hardware configured to:

transmit filtering criteria to a secondary storage computing device that is in communication with one or more secondary storage devices, wherein the secondary storage computing device has access to a listing of data objects contained in one or more secondary copies stored in the one or more secondary storage devices, and wherein the secondary storage computing device is configured to access metadata associated with the data objects;

receive, from the secondary storage computing device, lightweight data corresponding to each data object that the secondary storage computing device identifies as satisfying the filtering criteria, wherein the lightweight data is constructed based on the accessed metadata;

receive a selection of at least a portion of the lightweight data;

transmit, to the secondary storage computing device, a request to retrieve each data object that corresponds to the selection; and

receive, from the secondary storage computing device, each data object that corresponds to the selection.

2. The networked information management system ofclaim 1, wherein the client computing device is further configured to display first data within a view that is constructed based on the lightweight data corresponding to each data object that satisfies the filtering criteria.

3. The networked information management system ofclaim 2, wherein the client computing device is further configured to receive the selection from a user via an input device.

4. The networked information management system ofclaim 2, wherein the client computing device is further configured to:

replace the selection with each data object that corresponds to the selection; and

display within the view each data object that corresponds to the selection.

5. The networked information management system ofclaim 1, wherein the filtering criteria comprises one or more rules that identify one or more electronic messages.

6. The networked information management system ofclaim 1, wherein the data objects listed in the one or more secondary storage devices comprise first data objects that correspond to unidentified data objects that do not match the filtering criteria and second data objects that correspond to identified data objects that do match the filtering criteria.

7. The networked information management system ofclaim 1, wherein the lightweight data each comprise recipient information for each respective data object that the secondary storage computing device identifies as satisfying the filtering criteria.

8. A computer-implemented method for restoring data, the computer-implemented method comprising:

transmitting, by a client computing device comprising computer hardware, filtering criteria to a secondary storage computing device that is in communication with one or more secondary storage devices, wherein the secondary storage computing device has access to a listing of data objects contained in one or more secondary copies stored in the one or more secondary storage devices, and wherein the secondary storage computing device is configured to access metadata associated with the data objects;

receiving, by the client computing device from the secondary storage computing device, lightweight data corresponding to each data object that the secondary storage computing device identifies as satisfying the filtering criteria, wherein the lightweight data is constructed based on the accessed metadata;

receiving, by the client computing device, a selection of at least a portion of the lightweight data;

transmitting, by the client computing device to the secondary storage computing device, a request to retrieve each data object that corresponds to the selection; and

receiving, by the client computing device from the secondary storage computing device, each data object that corresponds to the selection.

9. The computer-implemented method ofclaim 8, further comprising displaying first data within a view that is constructed based on the lightweight data corresponding to each data object that satisfies the filtering criteria.

10. The computer-implemented method ofclaim 9, further comprising receiving the selection from a user via an input device.

11. The computer-implemented method ofclaim 9, further comprising:

replacing the selection with each data object that corresponds to the selection; and

displaying within the view each data object that corresponds to the selection.

12. The computer-implemented method ofclaim 8, wherein the filtering criteria comprises one or more rules that identify one or more electronic messages.

13. The computer-implemented method ofclaim 8, wherein the data objects listed in the one or more secondary storage devices comprise first data objects that correspond to unidentified data objects that do not match the filtering criteria and second data objects that correspond to identified data objects that do match the filtering criteria.

14. The computer-implemented method ofclaim 8, wherein the lightweight data each comprise recipient information for each respective data object that the secondary storage computing device identifies as satisfying the filtering criteria.

15. A computer-implemented method for restoring data, the computer-implemented method comprising:

receiving, from a storage manager, filtering criteria;

identifying one or more data objects that satisfy the filtering criteria;

retrieving, from one or more secondary storage devices, metadata corresponding to each data object identified as satisfying the filtering criteria;

constructing, with one or more computing devices comprising computer hardware, lightweight data based on the requested metadata, wherein each lightweight data corresponds to each data object identified as satisfying the filtering criteria;

transmitting, to the storage manager, the constructed lightweight data;

receiving, from the storage manager, a request to retrieve each data object that corresponds to at least a portion of lightweight data selected by a user;

retrieving, from the one or more secondary storage devices, one or more data objects that correspond to at least the portion of the lightweight data selected by the user; and

transmitting, to the storage manager, each data object that corresponds to at least the portion of the lightweight data selected by the user.

16. The computer-implemented method ofclaim 15, wherein the filtering criteria comprises one or more rules that identify one or more electronic messages.

17. The computer-implemented method ofclaim 15, wherein the data objects listed in the one or more secondary storage devices comprise first data objects that correspond to unidentified data objects that do not match the filtering criteria and second data objects that correspond to identified data objects that do match the filtering criteria.

18. The computer-implemented method ofclaim 15, wherein the lightweight data each comprise recipient information for each respective data object identified as satisfying the filtering criteria.

19. The computer-implemented method ofclaim 15, wherein retrieving metadata corresponding to each data object identified as satisfying the filtering criteria further comprises:

identifying, for each data object stored in the one or more secondary storage devices that satisfies the filtering criteria, a first demarcation;

identifying, for each data object stored in the one or more secondary storage devices that satisfies the filtering criteria, a second demarcation that occurs after the first demarcation; and

retrieving, for each data object stored in the one or more secondary storage devices that satisfies the filtering criteria, data between the first demarcation and the second demarcation.

20. The computer-implemented method ofclaim 19, wherein retrieving one or more data objects that correspond to at least the portion of the lightweight data selected by the user further comprises retrieving, for the one or more data objects that correspond to at least the portion of the lightweight data selected by the user, data after the second demarcation.

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