Apache HBase

The Apache HBase integration collects cluster metrics frommaster and regionservers. Region server metrics are related to storage as well as request andlatency. The integration also collectsmaster and region server logs andparses them into a JSON payload. The result includes fields for source, level,and message.

For more information about HBase, see theApache HBase documentation.

Prerequisites

To collect HBase telemetry, you mustinstall the Ops Agent:

  • For metrics, install version 2.11.0 or higher.
  • For logs, install version 2.11.0 or higher.

This integration supports HBase versions 1.7.x, 2.3.x, and 2.4.x.

Configure your HBase instance

To expose a JMX endpoint, you must set thecom.sun.management.jmxremote.portsystem property when starting the JVM. We also recommend setting thecom.sun.management.jmxremote.rmi.port system property to the same port. Toexpose a JMX endpoint remotely, you must also set thejava.rmi.server.hostnamesystem property.

By default, these properties are set in a HBase deployment'shbase-env.shfile.

To set system properties by using command-line arguments, prepend the propertyname with-D when starting the JVM. For example, to setcom.sun.management.jmxremote.port to port10101, specify the following whenstarting the JVM:

-Dcom.sun.management.jmxremote.port=10101

Configure the Ops Agent for HBase

Following the guide toConfigure the OpsAgent, add the required elementsto collect telemetry from HBase instances, andrestart the agent.

Example configuration

The following commands create the configuration to collect and ingest telemetryfor HBase:

#ConfiguresOpsAgenttocollecttelemetryfromtheapp.Youmustrestarttheagentfortheconfigurationtotakeeffect.set-e#Checkifthefileexistsif[!-f/etc/google-cloud-ops-agent/config.yaml];then#Createthefileifitdoesn'texist.sudomkdir-p/etc/google-cloud-ops-agentsudotouch/etc/google-cloud-ops-agent/config.yamlfi#Createabackupoftheexistingfilesoexistingconfigurationsarenotlost.sudocp/etc/google-cloud-ops-agent/config.yaml/etc/google-cloud-ops-agent/config.yaml.bak#ConfiguretheOpsAgent.sudotee/etc/google-cloud-ops-agent/config.yaml >/dev/null <<EOFmetrics:receivers:hbase:type:hbaseendpoint:service:jmx:rmi:///jndi/rmi://127.0.0.1:10101/jmxrmiservice:pipelines:hbase:receivers:-hbaselogging:receivers:hbase_system:type:hbase_systemservice:pipelines:hbase_system:receivers:-hbase_systemEOF

For these changes to take effect, you must restart the Ops Agent:

Linux

  1. To restart the agent, run the following command on your instance:
    sudo systemctl restart google-cloud-ops-agent
  2. To confirm that the agent restarted, run the following command and verify that the components "Metrics Agent" and "Logging Agent" started:
    sudo systemctl status "google-cloud-ops-agent*"

Windows

  1. Connect to your instance using RDP or a similar tool and login to Windows.
  2. Open a PowerShell terminal with administrator privileges by right-clicking the PowerShell icon and selectingRun as Administrator
  3. To restart the agent, run the following PowerShell command:
    Restart-Service google-cloud-ops-agent -Force
  4. To confirm that the agent restarted, run the following command and verify that the components "Metrics Agent" and "Logging Agent" started:
    Get-Service google-cloud-ops-agent*

Configure logs collection

To ingest logs from HBase, you must create a receiver for the logsthat HBase produces and then create a pipeline for the new receiver.

To configure a receiver for yourhbase_system logs, specify the followingfields:

FieldDefaultDescription
exclude_pathsA list of filesystem path patterns to exclude from the set matched byinclude_paths.
include_paths[/opt/hbase/logs/hbase-*-regionserver-*.log, /opt/hbase/logs/hbase-*-master-*.log]A list of filesystem paths to read by tailing each file. A wild card (*) can be used in the paths; for example,/var/log/hbase*/*.log.
record_log_file_pathfalseIf set totrue, then the path to the specific file from which the log record was obtained appears in the output log entry as the value of theagent.googleapis.com/log_file_path label. When using a wildcard, only the path of the file from which the record was obtained is recorded.
typeThis value must behbase_system.
wildcard_refresh_interval60sThe interval at which wildcard file paths ininclude_paths are refreshed. Given as atime duration, for example30s or2m. This property might be useful under high logging throughputs where log files are rotated faster than the default interval.

What is logged

ThelogName is derived fromthe receiver IDs specified in the configuration. Detailed fields inside theLogEntryare as follows.

Thehbase_system logs contain the following fields in theLogEntry:

FieldTypeDescription
jsonPayload.levelstringLog entry level
jsonPayload.messagestringLog message, including detailed stacktrace where provided
jsonPayload.modulestringModule of hbase where the log originated
jsonPayload.sourcestringsource of where the log originated
severitystring (LogSeverity)Log entry level (translated).

Configure metrics collection

To ingest metrics from HBase, you must create a receiver for the metricsthat HBase produces and then create a pipeline for the new receiver.

This receiver does notsupport the use of multiple instances in the configuration, for example, tomonitor multiple endpoints. All such instances write to the same time series,and Cloud Monitoring has no way to distinguish among them.

To configure a receiver for yourhbase metrics, specify the followingfields:

FieldDefaultDescription
collect_jvm_metricstrueConfigures the receiver to also collect the supported JVM metrics.
collection_interval60sAtime duration value, such as30s or5m.
endpointlocalhost:10101TheJMX Service URL or host and port used to construct the service URL. This value must be in the form ofservice:jmx:<protocol>:<sap> orhost:port. Values inhost:port form are used to create a service URL ofservice:jmx:rmi:///jndi/rmi://<host>:<port>/jmxrmi.
passwordThe configured password if JMX is configured to require authentication.
typeThis value must behbase.
usernameThe configured username if JMX is configured to require authentication.

What is monitored

The following table provides the list of metrics that the Ops Agent collectsfrom the HBase instance.

Metric type 
Kind, Type
Monitored resources
Labels
workload.googleapis.com/hbase.master.region_server.count
GAUGEINT64
gce_instance
state
workload.googleapis.com/hbase.master.regions_in_transition.count
GAUGEINT64
gce_instance
 
workload.googleapis.com/hbase.master.regions_in_transition.oldest_age
GAUGEINT64
gce_instance
 
workload.googleapis.com/hbase.master.regions_in_transition.over_threshold
GAUGEINT64
gce_instance
 
workload.googleapis.com/hbase.region_server.active_handler.count
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.authentication.count
GAUGEINT64
gce_instance
region_server
state
workload.googleapis.com/hbase.region_server.block_cache.operation.count
GAUGEINT64
gce_instance
region_server
state
workload.googleapis.com/hbase.region_server.blocked_update.time
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.disk.store_file.count
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.disk.store_file.size
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.files.local
GAUGEDOUBLE
gce_instance
region_server
workload.googleapis.com/hbase.region_server.gc.old_gen.time
CUMULATIVEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.gc.time
CUMULATIVEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.gc.young_gen.time
CUMULATIVEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.open_connection.count
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.append.latency.max
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.append.latency.mean
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.append.latency.median
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.append.latency.min
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.append.latency.p99
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.delete.latency.max
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.delete.latency.mean
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.delete.latency.median
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.delete.latency.min
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.delete.latency.p99
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.get.latency.max
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.get.latency.mean
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.get.latency.median
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.get.latency.min
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.get.latency.p99
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.increment.latency.max
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.increment.latency.mean
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.increment.latency.median
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.increment.latency.min
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.increment.latency.p99
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.put.latency.max
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.put.latency.mean
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.put.latency.median
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.put.latency.min
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.put.latency.p99
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.replay.latency.max
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.replay.latency.mean
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.replay.latency.median
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.replay.latency.min
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operation.replay.latency.p99
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.operations.slow
GAUGEINT64
gce_instance
operation
region_server
workload.googleapis.com/hbase.region_server.queue.length
GAUGEINT64
gce_instance
region_server
state
workload.googleapis.com/hbase.region_server.queue.request.count
GAUGEINT64
gce_instance
region_server
state
workload.googleapis.com/hbase.region_server.region.count
GAUGEINT64
gce_instance
region_server
workload.googleapis.com/hbase.region_server.request.count
GAUGEINT64
gce_instance
region_server
state
workload.googleapis.com/hbase.region_server.write_ahead_log.count
GAUGEINT64
gce_instance
region_server

Verify the configuration

This section describes how to verify that you correctly configured theHBase receiver. It might take one or twominutes for the Ops Agent to begin collecting telemetry.

To verify that HBase logs are being sent toCloud Logging, do the following:

  1. In the Google Cloud console, go to theLogs Explorer page:

    Go toLogs Explorer

    If you use the search bar to find this page, then select the result whose subheading isLogging.

  2. Enter the following query in the editor, and then clickRun query:
    resource.type="gce_instance"log_id("hbase_system")

To verify that HBase metrics are being sent toCloud Monitoring, do the following:

  1. In the Google Cloud console, go to the Metrics explorer page:

    Go toMetrics explorer

    If you use the search bar to find this page, then select the result whose subheading isMonitoring.

  2. In the toolbar of thequery-builder pane, select the button whose name is either MQL or PromQL.
  3. Verify thatPromQL is selectedin theLanguage toggle. The language toggle is in the same toolbar thatlets you format your query.
  4. Enter the following query in the editor, and then clickRun query:
    {"workload.googleapis.com/hbase.region_server.operation.append.latency.p99", monitored_resource="gce_instance"}

View dashboard

To view your HBase metrics, you must have a chart or dashboardconfigured.The HBase integration includes one or more dashboards for you.Any dashboards are automatically installed after you configure theintegration and the Ops Agent has begun collecting metric data.

You can also view static previews of dashboards withoutinstalling the integration.

To view an installed dashboard, do the following:

  1. In the Google Cloud console, go to the Dashboards page:

    Go toDashboards

    If you use the search bar to find this page, then select the result whose subheading isMonitoring.

  2. Select theDashboard List tab, and then choose theIntegrations category.
  3. Click the name of the dashboard you want to view.

If you have configured an integration but the dashboard has not beeninstalled, then check that the Ops Agent is running. When there is nometric data for a chart in the dashboard, installation of the dashboard fails.After the Ops Agent begins collecting metrics, the dashboard is installedfor you.

To view a static preview of the dashboard, do the following:

  1. In the Google Cloud console, go to the Integrations page:

    Go toIntegrations

    If you use the search bar to find this page, then select the result whose subheading isMonitoring.

  2. Click theCompute Engine deployment-platform filter.
  3. Locate the entry for HBase and clickView Details.
  4. Select theDashboards tab to see a static preview. If the dashboard is installed, then you can navigate to it by clickingView dashboard.

For more information about dashboards in Cloud Monitoring, seeDashboards and charts.

For more information about using theIntegrations page, seeManage integrations.

Install alerting policies

Alerting policies instruct Cloud Monitoring to notify you whenspecified conditions occur.The HBase integration includes one or more alerting policies foryou to use.You can view and installthese alerting policies from theIntegrations page inMonitoring.

To view the descriptions of available alerting policies and install them, do the following:

  1. In the Google Cloud console, go to the Integrations page:

    Go toIntegrations

    If you use the search bar to find this page, then select the result whose subheading isMonitoring.

  2. Locate the entry for HBase and clickView Details.
  3. Select theAlerts tab. This tab provides descriptions of available alerting policies and provides an interface for installing them.
  4. Install alerting policies. Alerting policies need to know where to send notifications that the alert has been triggered, so they require information from you for installation. To install alerting policies, do the following:
    1. From the list of available alerting policies, select those that you want to install.
    2. In theConfigure notifications section, select one or more notification channels. You have the option to disable the use of notification channels, but if you do, then your alerting policies fire silently. You can check their status in Monitoring, but you receive no notifications.

      For more information about notification channels, seeManage notification channels.

    3. ClickCreate Policies.

For more information about alerting policies in Cloud Monitoring, seeIntroduction to alerting.

For more information about using theIntegrations page, seeManage integrations.

What's next

For a walkthrough on how to use Ansible to install the Ops Agent, configurea third-party application, and install a sample dashboard, see theInstall the Ops Agent to troubleshoot third-party applications video.

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Last updated 2025-12-15 UTC.