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Hadoop

Version1.9.0 (View all)
Subscription level
What's this?
Basic
Developed by
What's this?
Elastic
Ingestion method(s)API
Minimum Kibana version(s)9.0.0
8.13.0

This integration is used to collectHadoop metrics as follows:

  • Application Metrics
  • Cluster Metrics
  • DataNode Metrics
  • NameNode Metrics
  • NodeManager Metrics

This integration uses Resource Manager API and JMX API to collect above metrics.

This integration has been tested against Hadoop version3.3.6.

If host.ip is shown conflicted underlogs-* data view, then this issue can be solved byreindexing theApplication data stream's indices.If host.ip is shown conflicted undermetrics-* data view, then this issue can be solved byreindexing theCluster,Datanode,Namenode andNode Manager data stream's indices.

This data stream collects Application metrics.

Example
{    "@timestamp": "2023-02-02T12:03:41.178Z",    "agent": {        "ephemeral_id": "71297f22-c3ed-49b3-a8a9-a9d2086f8df2",        "id": "2d054344-10a6-40d9-90c1-ea017fecfda3",        "name": "docker-fleet-agent",        "type": "filebeat",        "version": "8.5.1"    },    "data_stream": {        "dataset": "hadoop.application",        "namespace": "ep",        "type": "logs"    },    "ecs": {        "version": "8.11.0"    },    "elastic_agent": {        "id": "2d054344-10a6-40d9-90c1-ea017fecfda3",        "snapshot": false,        "version": "8.5.1"    },    "event": {        "agent_id_status": "verified",        "category": [            "database"        ],        "created": "2023-02-02T12:03:41.178Z",        "dataset": "hadoop.application",        "ingested": "2023-02-02T12:03:42Z",        "kind": "metric",        "module": "httpjson",        "type": [            "info"        ]    },    "hadoop": {        "application": {            "allocated": {                "mb": 2048,                "v_cores": 1            },            "id": "application_1675339401983_0001",            "memory_seconds": 12185,            "progress": 0,            "running_containers": 1,            "time": {                "elapsed": 7453,                "finished": "1970-01-01T00:00:00.000Z",                "started": "2023-02-02T12:03:33.662Z"            },            "vcore_seconds": 5        }    },    "input": {        "type": "httpjson"    },    "tags": [        "forwarded"    ]}

ECS Field Reference

Please refer to the followingdocument for detailed information on ECS fields.

Exported fields
FieldDescriptionType
@timestampEvent timestamp.date
data_stream.datasetData stream dataset.constant_keyword
data_stream.namespaceData stream namespace.constant_keyword
data_stream.typeData stream type.constant_keyword
hadoop.application.allocated.mbTotal memory allocated to the application's running containers (Mb)long
hadoop.application.allocated.v_coresThe total number of virtual cores allocated to the application's running containerslong
hadoop.application.idApplication IDkeyword
hadoop.application.memory_secondsThe amount of memory the application has allocatedlong
hadoop.application.progressApplication progress (%)long
hadoop.application.running_containersNumber of containers currently running for the applicationlong
hadoop.application.time.elapsedThe elapsed time since application started (ms)long
hadoop.application.time.finishedApplication finished timedate
hadoop.application.time.startedApplication start timedate
hadoop.application.vcore_secondsThe amount of CPU resources the application has allocatedlong
input.typeType of Filebeat input.keyword

This data stream collects Cluster metrics.

Example
{    "@timestamp": "2022-04-04T17:22:22.255Z",    "agent": {        "ephemeral_id": "a8157f06-f6b6-4eae-b67f-4ad08fa7c170",        "id": "abf8f8c1-f293-4e16-a8f8-8cf48014d040",        "name": "docker-fleet-agent",        "type": "metricbeat",        "version": "8.1.0"    },    "data_stream": {        "dataset": "hadoop.cluster",        "namespace": "ep",        "type": "metrics"    },    "ecs": {        "version": "8.11.0"    },    "elastic_agent": {        "id": "abf8f8c1-f293-4e16-a8f8-8cf48014d040",        "snapshot": false,        "version": "8.1.0"    },    "event": {        "agent_id_status": "verified",        "category": [            "database"        ],        "dataset": "hadoop.cluster",        "duration": 50350559,        "ingested": "2022-04-04T17:22:25Z",        "kind": "metric",        "module": "http",        "type": [            "info"        ]    },    "hadoop": {        "cluster": {            "application_main": {                "launch_delay_avg_time": 2115,                "launch_delay_num_ops": 1,                "register_delay_avg_time": 0,                "register_delay_num_ops": 0            },            "node_managers": {                "num_active": 1,                "num_decommissioned": 0,                "num_lost": 0,                "num_rebooted": 0,                "num_unhealthy": 0            }        }    },    "host": {        "architecture": "x86_64",        "containerized": true,        "hostname": "docker-fleet-agent",        "ip": [            "172.27.0.7"        ],        "mac": [            "02-42-AC-1F-00-07"        ],        "name": "docker-fleet-agent",        "os": {            "codename": "focal",            "family": "debian",            "kernel": "3.10.0-1160.53.1.el7.x86_64",            "name": "Ubuntu",            "platform": "ubuntu",            "type": "linux",            "version": "20.04.3 LTS (Focal Fossa)"        }    },    "metricset": {        "name": "json",        "period": 60000    },    "service": {        "address": "http://elastic-package-service_hadoop_1:8088/jmx?qry=Hadoop%3Aservice%3DResourceManager%2Cname%3DClusterMetrics",        "type": "http"    },    "tags": [        "hadoop-cluster"    ]}

ECS Field Reference

Please refer to the followingdocument for detailed information on ECS fields.

Exported fields
FieldDescriptionTypeMetric Type
@timestampEvent timestamp.date
agent.idUnique identifier of this agent (if one exists). Example: For Beats this would be beat.id.keyword
cloud.account.idThe cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.keyword
cloud.availability_zoneAvailability zone in which this host, resource, or service is located.keyword
cloud.instance.idInstance ID of the host machine.keyword
cloud.providerName of the cloud provider. Example values are aws, azure, gcp, or digitalocean.keyword
cloud.regionRegion in which this host, resource, or service is located.keyword
container.idUnique container id.keyword
data_stream.datasetData stream dataset.constant_keyword
data_stream.namespaceData stream namespace.constant_keyword
data_stream.typeData stream type.constant_keyword
hadoop.cluster.application_main.launch_delay_avg_timeApplication Main Launch Delay Average Time (Milliseconds)longgauge
hadoop.cluster.application_main.launch_delay_num_opsApplication Main Launch Delay Operations (Number of Operations)longgauge
hadoop.cluster.application_main.register_delay_avg_timeApplication Main Register Delay Average Time (Milliseconds)longgauge
hadoop.cluster.application_main.register_delay_num_opsApplication Main Register Delay Operations (Number of Operations)longgauge
hadoop.cluster.applications.completedThe number of applications completedlongcounter
hadoop.cluster.applications.failedThe number of applications failedlongcounter
hadoop.cluster.applications.killedThe number of applications killedlongcounter
hadoop.cluster.applications.pendingThe number of applications pendinglonggauge
hadoop.cluster.applications.runningThe number of applications runninglonggauge
hadoop.cluster.applications.submittedThe number of applications submittedlongcounter
hadoop.cluster.containers.allocatedThe number of containers allocatedlonggauge
hadoop.cluster.containers.pendingThe number of containers pendinglonggauge
hadoop.cluster.containers.reservedThe number of containers reservedlonggauge
hadoop.cluster.memory.allocatedThe amount of memory allocated in MBlonggauge
hadoop.cluster.memory.availableThe amount of memory available in MBlonggauge
hadoop.cluster.memory.reservedThe amount of memory reserved in MBlonggauge
hadoop.cluster.memory.totalThe amount of total memory in MBlonggauge
hadoop.cluster.node_managers.num_activeNumber of Node Managers Activelonggauge
hadoop.cluster.node_managers.num_decommissionedNumber of Node Managers Decommissionedlonggauge
hadoop.cluster.node_managers.num_lostNumber of Node Managers Lostlonggauge
hadoop.cluster.node_managers.num_rebootedNumber of Node Managers Rebootedlonggauge
hadoop.cluster.node_managers.num_unhealthyNumber of Node Managers Unhealthylonggauge
hadoop.cluster.nodes.activeThe number of active nodeslonggauge
hadoop.cluster.nodes.decommissionedThe number of nodes decommissionedlonggauge
hadoop.cluster.nodes.decommissioningThe number of nodes being decommissionedlonggauge
hadoop.cluster.nodes.lostThe number of lost nodeslonggauge
hadoop.cluster.nodes.rebootedThe number of nodes rebootedlonggauge
hadoop.cluster.nodes.shutdownThe number of nodes shut downlonggauge
hadoop.cluster.nodes.totalThe total number of nodeslonggauge
hadoop.cluster.nodes.unhealthyThe number of unhealthy nodeslonggauge
hadoop.cluster.virtual_cores.allocatedThe number of allocated virtual coreslonggauge
hadoop.cluster.virtual_cores.availableThe number of available virtual coreslonggauge
hadoop.cluster.virtual_cores.reservedThe number of reserved virtual coreslonggauge
hadoop.cluster.virtual_cores.totalThe total number of virtual coreslonggauge
host.nameName of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.keyword
service.addressAddress where data about this service was collected from. This should be a URI, network address (ipv4:port or [ipv6]:port) or a resource path (sockets).keyword

This data stream collects Datanode metrics.

Example
{    "@timestamp": "2023-02-02T12:05:04.266Z",    "agent": {        "ephemeral_id": "2f5c3354-b1d6-4f1b-b12e-2824ae65dd02",        "id": "2d054344-10a6-40d9-90c1-ea017fecfda3",        "name": "docker-fleet-agent",        "type": "metricbeat",        "version": "8.5.1"    },    "data_stream": {        "dataset": "hadoop.datanode",        "namespace": "ep",        "type": "metrics"    },    "ecs": {        "version": "8.11.0"    },    "elastic_agent": {        "id": "2d054344-10a6-40d9-90c1-ea017fecfda3",        "snapshot": false,        "version": "8.5.1"    },    "event": {        "agent_id_status": "verified",        "category": [            "database"        ],        "dataset": "hadoop.datanode",        "duration": 241651987,        "ingested": "2023-02-02T12:05:05Z",        "kind": "metric",        "module": "http",        "type": [            "info"        ]    },    "hadoop": {        "datanode": {            "blocks": {                "cached": 0,                "failed": {                    "to_cache": 0,                    "to_uncache": 0                }            },            "cache": {                "capacity": 0,                "used": 0            },            "dfs_used": 804585,            "disk_space": {                "capacity": 80637005824,                "remaining": 56384421888            },            "estimated_capacity_lost_total": 0,            "last_volume_failure_date": "1970-01-01T00:00:00.000Z",            "volumes": {                "failed": 0            }        }    },    "host": {        "architecture": "x86_64",        "containerized": true,        "hostname": "docker-fleet-agent",        "id": "75e38940166b4dbc90b6f5610e8e9c39",        "ip": [            "172.28.0.5"        ],        "mac": [            "02-42-AC-1C-00-05"        ],        "name": "docker-fleet-agent",        "os": {            "codename": "focal",            "family": "debian",            "kernel": "3.10.0-1160.80.1.el7.x86_64",            "name": "Ubuntu",            "platform": "ubuntu",            "type": "linux",            "version": "20.04.5 LTS (Focal Fossa)"        }    },    "metricset": {        "name": "json",        "period": 60000    },    "service": {        "address": "http://elastic-package-service_hadoop_1:9864/jmx?qry=Hadoop%3Aname%3DDataNodeActivity%2A%2Cservice%3DDataNode",        "type": "http"    },    "tags": [        "hadoop-datanode"    ]}

ECS Field Reference

Please refer to the followingdocument for detailed information on ECS fields.

Exported fields
FieldDescriptionTypeMetric Type
@timestampEvent timestamp.date
agent.idUnique identifier of this agent (if one exists). Example: For Beats this would be beat.id.keyword
cloud.account.idThe cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.keyword
cloud.availability_zoneAvailability zone in which this host, resource, or service is located.keyword
cloud.instance.idInstance ID of the host machine.keyword
cloud.providerName of the cloud provider. Example values are aws, azure, gcp, or digitalocean.keyword
cloud.regionRegion in which this host, resource, or service is located.keyword
container.idUnique container id.keyword
data_stream.datasetData stream dataset.constant_keyword
data_stream.namespaceData stream namespace.constant_keyword
data_stream.typeData stream type.constant_keyword
hadoop.datanode.blocks.cachedThe number of blocks cachedlonggauge
hadoop.datanode.blocks.failed.to_cacheThe number of blocks that failed to cachelonggauge
hadoop.datanode.blocks.failed.to_uncacheThe number of failed blocks to remove from cachelonggauge
hadoop.datanode.bytes.readData readlongcounter
hadoop.datanode.bytes.writtenData writtenlongcounter
hadoop.datanode.cache.capacityCache capacity in byteslonggauge
hadoop.datanode.cache.usedCache used in byteslonggauge
hadoop.datanode.dfs_usedDistributed File System Usedlonggauge
hadoop.datanode.disk_space.capacityDisk capacity in byteslonggauge
hadoop.datanode.disk_space.remainingThe remaining disk space left in byteslonggauge
hadoop.datanode.estimated_capacity_lost_totalThe estimated capacity lost in byteslonggauge
hadoop.datanode.last_volume_failure_dateThe date/time of the last volume failure in milliseconds since epochdate
hadoop.datanode.volumes.failedNumber of failed volumeslonggauge
host.nameName of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.keyword
service.addressAddress where data about this service was collected from. This should be a URI, network address (ipv4:port or [ipv6]:port) or a resource path (sockets).keyword

This data stream collects Namenode metrics.

Example
{    "@timestamp": "2022-03-28T11:36:07.166Z",    "agent": {        "ephemeral_id": "1304d85b-b3ba-45a5-ad59-c9ec7df3a49f",        "id": "adf6847a-3726-4fe6-a202-147021ff3cbc",        "name": "docker-fleet-agent",        "type": "metricbeat",        "version": "8.1.0"    },    "data_stream": {        "dataset": "hadoop.namenode",        "namespace": "ep",        "type": "metrics"    },    "ecs": {        "version": "8.11.0"    },    "elastic_agent": {        "id": "adf6847a-3726-4fe6-a202-147021ff3cbc",        "snapshot": false,        "version": "8.1.0"    },    "event": {        "agent_id_status": "verified",        "category": [            "database"        ],        "dataset": "hadoop.namenode",        "duration": 341259289,        "ingested": "2022-03-28T11:36:09Z",        "kind": "metric",        "module": "http",        "type": [            "info"        ]    },    "hadoop": {        "namenode": {            "blocks": {                "corrupt": 0,                "missing_repl_one": 0,                "pending_deletion": 0,                "pending_replication": 0,                "scheduled_replication": 0,                "total": 0,                "under_replicated": 0            },            "capacity": {                "remaining": 11986817024,                "total": 48420556800,                "used": 4096            },            "estimated_capacity_lost_total": 0,            "files_total": 9,            "lock_queue_length": 0,            "nodes": {                "num_dead_data": 0,                "num_decom_dead_data": 0,                "num_decom_live_data": 0,                "num_decommissioning_data": 0,                "num_live_data": 1            },            "num_stale_storages": 0,            "stale_data_nodes": 0,            "total_load": 0,            "volume_failures_total": 0        }    },    "host": {        "architecture": "x86_64",        "containerized": true,        "hostname": "docker-fleet-agent",        "ip": [            "192.168.160.7"        ],        "mac": [            "02-42-AC-1F-00-07"        ],        "name": "docker-fleet-agent",        "os": {            "codename": "focal",            "family": "debian",            "kernel": "3.10.0-1160.45.1.el7.x86_64",            "name": "Ubuntu",            "platform": "ubuntu",            "type": "linux",            "version": "20.04.3 LTS (Focal Fossa)"        }    },    "metricset": {        "name": "json",        "period": 60000    },    "service": {        "address": "http://elastic-package-service_hadoop_1:9870/jmx?qry=Hadoop%3Aname%3DFSNamesystem%2Cservice%3DNameNode",        "type": "http"    },    "tags": [        "hadoop-namenode"    ]}

ECS Field Reference

Please refer to the followingdocument for detailed information on ECS fields.

Exported fields
FieldDescriptionTypeMetric Type
@timestampEvent timestamp.date
agent.idUnique identifier of this agent (if one exists). Example: For Beats this would be beat.id.keyword
cloud.account.idThe cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.keyword
cloud.availability_zoneAvailability zone in which this host, resource, or service is located.keyword
cloud.instance.idInstance ID of the host machine.keyword
cloud.providerName of the cloud provider. Example values are aws, azure, gcp, or digitalocean.keyword
cloud.regionRegion in which this host, resource, or service is located.keyword
container.idUnique container id.keyword
data_stream.datasetData stream dataset.constant_keyword
data_stream.namespaceData stream namespace.constant_keyword
data_stream.typeData stream type.constant_keyword
hadoop.namenode.blocks.corruptCurrent number of blocks with corrupt replicas.longgauge
hadoop.namenode.blocks.missing_repl_oneCurrent number of missing blocks with replication factor 1longgauge
hadoop.namenode.blocks.pending_deletionCurrent number of blocks pending deletionlonggauge
hadoop.namenode.blocks.pending_replicationCurrent number of blocks pending to be replicatedlonggauge
hadoop.namenode.blocks.scheduled_replicationCurrent number of blocks scheduled for replicationslonggauge
hadoop.namenode.blocks.totalCurrent number of allocated blocks in the systemlonggauge
hadoop.namenode.blocks.under_replicatedCurrent number of blocks under replicatedlonggauge
hadoop.namenode.capacity.remainingCurrent remaining capacity in byteslonggauge
hadoop.namenode.capacity.totalCurrent raw capacity of DataNodes in byteslonggauge
hadoop.namenode.capacity.usedCurrent used capacity across all DataNodes in byteslonggauge
hadoop.namenode.estimated_capacity_lost_totalAn estimate of the total capacity lost due to volume failureslonggauge
hadoop.namenode.files_totalCurrent number of files and directorieslonggauge
hadoop.namenode.lock_queue_lengthNumber of threads waiting to acquire FSNameSystem locklonggauge
hadoop.namenode.nodes.num_dead_dataNumber of datanodes which are currently deadlonggauge
hadoop.namenode.nodes.num_decom_dead_dataNumber of datanodes which have been decommissioned and are now deadlonggauge
hadoop.namenode.nodes.num_decom_live_dataNumber of datanodes which have been decommissioned and are now livelonggauge
hadoop.namenode.nodes.num_decommissioning_dataNumber of datanodes in decommissioning statelonggauge
hadoop.namenode.nodes.num_live_dataNumber of datanodes which are currently livelonggauge
hadoop.namenode.num_stale_storagesNumber of storages marked as content stalelonggauge
hadoop.namenode.stale_data_nodesCurrent number of DataNodes marked stale due to delayed heartbeatlonggauge
hadoop.namenode.total_loadCurrent number of connectionslonggauge
hadoop.namenode.volume_failures_totalTotal number of volume failures across all Datanodeslonggauge
host.nameName of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.keyword
service.addressAddress where data about this service was collected from. This should be a URI, network address (ipv4:port or [ipv6]:port) or a resource path (sockets).keyword

This data stream collects Node Manager metrics.

Example
{    "@timestamp": "2022-03-28T11:54:32.506Z",    "agent": {        "ephemeral_id": "9948a37a-5732-4d7d-9218-0e9cf30c035a",        "id": "adf6847a-3726-4fe6-a202-147021ff3cbc",        "name": "docker-fleet-agent",        "type": "metricbeat",        "version": "8.1.0"    },    "data_stream": {        "dataset": "hadoop.node_manager",        "namespace": "ep",        "type": "metrics"    },    "ecs": {        "version": "8.11.0"    },    "elastic_agent": {        "id": "adf6847a-3726-4fe6-a202-147021ff3cbc",        "snapshot": false,        "version": "8.1.0"    },    "event": {        "agent_id_status": "verified",        "category": [            "database"        ],        "dataset": "hadoop.node_manager",        "duration": 12930711,        "ingested": "2022-03-28T11:54:35Z",        "kind": "metric",        "module": "http",        "type": [            "info"        ]    },    "hadoop": {        "node_manager": {            "allocated_containers": 0,            "container_launch_duration_avg_time": 169,            "container_launch_duration_num_ops": 2,            "containers": {                "completed": 0,                "failed": 2,                "initing": 0,                "killed": 0,                "launched": 2,                "running": 0            }        }    },    "host": {        "architecture": "x86_64",        "containerized": true,        "hostname": "docker-fleet-agent",        "ip": [            "192.168.160.7"        ],        "mac": [            "02-42-AC-1F-00-07"        ],        "name": "docker-fleet-agent",        "os": {            "codename": "focal",            "family": "debian",            "kernel": "3.10.0-1160.45.1.el7.x86_64",            "name": "Ubuntu",            "platform": "ubuntu",            "type": "linux",            "version": "20.04.3 LTS (Focal Fossa)"        }    },    "metricset": {        "name": "json",        "period": 60000    },    "service": {        "address": "http://elastic-package-service_hadoop_1:8042/jmx?qry=Hadoop%3Aservice%3DNodeManager%2Cname%3DNodeManagerMetrics",        "type": "http"    },    "tags": [        "hadoop-node_manager"    ]}

ECS Field Reference

Please refer to the followingdocument for detailed information on ECS fields.

Exported fields
FieldDescriptionTypeMetric Type
@timestampEvent timestamp.date
agent.idUnique identifier of this agent (if one exists). Example: For Beats this would be beat.id.keyword
cloud.account.idThe cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.keyword
cloud.availability_zoneAvailability zone in which this host, resource, or service is located.keyword
cloud.instance.idInstance ID of the host machine.keyword
cloud.providerName of the cloud provider. Example values are aws, azure, gcp, or digitalocean.keyword
cloud.regionRegion in which this host, resource, or service is located.keyword
container.idUnique container id.keyword
data_stream.datasetData stream dataset.constant_keyword
data_stream.namespaceData stream namespace.constant_keyword
data_stream.typeData stream type.constant_keyword
hadoop.node_manager.allocated_containersContainers Allocatedlonggauge
hadoop.node_manager.container_launch_duration_avg_timeContainer Launch Duration Average Time (Seconds)longgauge
hadoop.node_manager.container_launch_duration_num_opsContainer Launch Duration Operations (Operations)longcounter
hadoop.node_manager.containers.completedContainers Completedlongcounter
hadoop.node_manager.containers.failedContainers Failedlongcounter
hadoop.node_manager.containers.initingContainers Initializinglonggauge
hadoop.node_manager.containers.killedContainers Killedlongcounter
hadoop.node_manager.containers.launchedContainers Launchedlongcounter
hadoop.node_manager.containers.runningContainers Runninglonggauge
host.nameName of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host.keyword
service.addressAddress where data about this service was collected from. This should be a URI, network address (ipv4:port or [ipv6]:port) or a resource path (sockets).keyword

This integration includes one or more Kibana dashboards that visualizes the data collected by the integration. The screenshots below illustrate how the ingested data is displayed.

Application dashboard screenshot
Cluster Overview dashboard screenshot
Data node dashboard screenshot
Node Manager dashboard screenshot
Changelog
VersionDetailsMinimum Kibana version
1.9.0Enhancement (View pull request)
Allow @custom pipeline access to event.original without setting preserve_original_event.
9.0.0
8.13.0
1.8.1Bug fix (View pull request)
Updated SSL description to be uniform and to include links to documentation.
9.0.0
8.13.0
1.8.0Enhancement (View pull request)
Add support for Kibana9.0.0.
9.0.0
8.13.0
1.7.0Enhancement (View pull request)
ECS version updated to 8.11.0. Update the kibana constraint to ^8.13.0. Modified the field definitions to remove ECS fields made redundant by the ecs@mappings component template.
8.13.0
1.6.0Enhancement (View pull request)
Add global filter on data_stream.dataset to improve performance.
8.10.2
1.5.2Enhancement (View pull request)
Inline "by reference" visualizations
8.10.2
1.5.1Bug fix (View pull request)
Update the link to the correct reindexing procedure.
8.10.2
1.5.0Enhancement (View pull request)
Limit request tracer log count to five.
8.10.2
1.4.0Enhancement (View pull request)
Update value format of "Average elapsed time" metric visualization.
8.10.2
1.3.0Enhancement (View pull request)
Update the package format_version to 3.0.0.
8.8.0
1.2.1Bug fix (View pull request)
Remove forwarded tag from metrics data streams.
8.8.0
1.2.0Enhancement (View pull request)
Enable time series data streams for the service metrics dataset. This dramatically reduces storage for metrics and is expected to progressively improve queryperformance. For more details, seehere.
8.8.0
1.1.8Bug fix (View pull request)
Add null check and ignore_missing check to the rename processor
8.3.0
1.1.7Enhancement (View pull request)
Add metric_type mapping fornamenode datastream.
8.3.0
1.1.6Enhancement (View pull request)
Add dimension mapping fornamenode datastream.
8.3.0
1.1.5Enhancement (View pull request)
Add metric_type mapping fordatanode datastream.
8.3.0
1.1.4Enhancement (View pull request)
Add dimension mapping fordatanode datastream.
8.3.0
1.1.3Enhancement (View pull request)
Add metric_type mapping fornode_manager datastream.
8.3.0
1.1.2Enhancement (View pull request)
Add dimension mapping fornode_manager datastream.
8.3.0
1.1.1Enhancement (View pull request)
Add metric_type mapping forcluster datastream.
8.3.0
1.1.0Enhancement (View pull request)
Add dimension mapping forcluster datastream.
8.3.0
1.0.0Enhancement (View pull request)
Make Hadoop GA.
8.3.0
0.9.1Bug fix (View pull request)
Resolve host.ip field conflict.
8.3.0
0.9.0Enhancement (View pull request)
Add support for HTTP request trace logging in application data stream.
8.3.0
0.8.0Enhancement (View pull request)
Rename ownership from obs-service-integrations to obs-infraobs-integrations
8.3.0
0.7.1Bug fix (View pull request)
Remove(s) from the Applications dashboard visualizations.
8.3.0
0.7.0Enhancement (View pull request)
MigrateCluster overview dashboard visualizations to lens.
8.3.0
0.6.0Enhancement (View pull request)
MigrateApplications dashboard visualizations to lens.
8.3.0
0.5.0Enhancement (View pull request)
MigrateData nodes andNode Manager dashboard visualizations to lens.
8.3.0
0.4.2Enhancement (View pull request)
Added categories and/or subcategories.
8.1.0
0.4.1Bug fix (View pull request)
Replace format of date processor from epoch_millis to UNIX_MS
8.1.0
0.4.0Enhancement (View pull request)
Update ECS version to 8.5.1
8.1.0
0.3.0Enhancement (View pull request)
Added infrastructure category.
8.1.0
0.2.0Enhancement (View pull request)
Add dashboard and visualizations for Hadoop.
8.1.0
0.1.1Enhancement (View pull request)
Update SSL and proxy configuration for application data stream.
0.1.0Enhancement (View pull request)
Add namenode data stream for Hadoop.

Enhancement (View pull request)
Add node_manager data stream, visualizations and Dashboards for Hadoop.

Enhancement (View pull request)
Add datanode data stream for Hadoop.

Enhancement (View pull request)
Add cluster metrics data stream for Hadoop.

Enhancement (View pull request)
Add Hadoop integration with application data stream.

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