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  2. OceanBase Cloud

Monitor OceanBase Cloud with Prometheus

Last Updated:2026-09-04 07:03:30

Background information
Prerequisites
Procedure
View database monitoring data in Prometheus
Configuration example
Dynamically obtain instances under the account (recommended)
Collect specified clusters under the account
Collect multiple accounts
List of metrics
Host metrics
Tenant database

This topic describes how to monitor OceanBase Cloud by using OBCloud Exporter and Prometheus.

Background information

OBCloud Exporter is a database data processing tool provided by OceanBase Cloud. You can use this tool to complete database authentication and data acquisition. You can then use the local Prometheus tool to monitor the database.

Prerequisites

  1. Java 8 or later is deployed.

  2. Docker is deployed.

Procedure

Run Prometheus to monitor OceanBase Cloud
Deploy Prometheus by using Docker
Deploy Prometheus to monitor OceanBase Database by using Kubernetes
  1. Download OBCloud Exporter.

    Note

    Currently, OBCloud Exporter is not available for direct download. Please contact technical support for assistance.

  2. Deploy OBCloud Exporter.

    1. Extract the OBCloud Exporter installation package to the /opt/obcloud-exporter directory.

      mkdir /opt/obcloud-exporter
      unzip Obcloud_Exporter.zip -d /opt/obcloud-exporter
      

      After extraction, the directory contains the following files:

      • Dockerfile: the Docker container build file.
      • muticloud_metric_config.yaml: the metrics configuration file, which does not need to be modified by default.
      • application.yaml: the collection configuration file.
      • obcloud-exporter-1.0-SNAPSHOT-jar-with-dependencies.jar: the OBCloud Exporter program.
      • readme.md: the project description.
    2. Edit the application.yaml configuration file.

      muti_monitor:
        ## Credentials
        credential:
          access_key_id: xxx
          access_key_secret: xx
          end_point: xxx
        metric_meta_auto_refresh: false
        default_metric:
          - sql_all_rt
          - sql_delete_rt
        ## Instance information
        instances:
          instance_id: xxx
          tenant_id: xxx
          instance_type: tenant
          metrics:
            - sql_all_rt
            - sql_delete_rt
      

      Parameter description:

      Parameter
      Required
      Description
      Example value
      access_key_id Yes The authentication information. Go to My Account > Access Key to obtain it. For more information, see Manage Access Keys. ************
      access_key_secret Yes The authentication information. Go to My Account > Access Key to obtain it. For more information, see Manage Access Keys. ************
      end_point Yes The endpoint. For more information, see Service Endpoints. api-cloud.oceanbase.com
      metric_meta_auto_refresh No Whether to periodically refresh the metric indicators. Default value: false. false
      default_metric No The default metric. When no instances are specified for collection, you can use default_metric to control the collection of specified metrics for all instances in the account. - sql_all_rt
      instance_id No The instance ID. You can specify multiple instance IDs separated by hyphens (-). ob************
      tenant_id No To query a specified tenant under a cluster, you must configure tenant_id. If instance_type is cluster, you can omit this parameter. t************
      instance_type No The instance type:
      • cluster: the monitoring metrics of the cluster host. It automatically collects the monitoring data of all tenants under the cluster.
      • tenant: the monitoring metrics of the tenant database.
      tenant
      metrics No The metric information. By default, all metrics are collected. For more information, see the Monitoring Metrics section.

      Note

      Collecting too many metrics may affect the collection speed. In appropriate cases, you can split them into multiple exporters.

      - sql_all_rt
  3. Run OBCloud Exporter with Java.

    1. You can use the following command to start OBCloud Exporter by specifying the configuration file.

      java -Dconfig=/xx/application.yaml -jar obcloud-exporter-1.0-SNAPSHOT-jar-with-dependencies.jar --spring.config.location=/xx/application.properties
      
      • -Dconfig: (Optional) specifies the monitoring configuration file to start.

      • --spring.config.location: (Optional) specifies the location of the program. By default, the Spring Boot actuator component is integrated and enabled, with the default port set to 8082. You can configure it as needed and access it based on the configured port.

        The default configuration is as follows:

        server.port=-1
        management.server.port=8082
        management.endpoints.web.exposure.include=health,info
        management.endpoint.health.show-details=always
        

      Common example:

      # Start OBCloud Exporter with the default configuration.
      java -jar obcloud-exporter-1.0-SNAPSHOT-jar-with-dependencies.jar
      # Start OBCloud Exporter with the environment configuration variable.
      java -jar obcloud-exporter-1.0-SNAPSHOT-jar-with-dependencies.jar --spring.config.location=/xx/application.properties
      # Start OBCloud Exporter with the monitoring configuration file.
      java -Dconfig=/xx/application.yaml -jar obcloud-exporter-1.0-SNAPSHOT-jar-with-dependencies.jar
      # Start OBCloud Exporter with the monitoring configuration file and the environment variable configuration.
      java -Dconfig=/xx/application.yaml -jar obcloud-exporter-1.0-SNAPSHOT-jar-with-dependencies.jar --spring.config.location=/xx/application.properties
      
    2. Verify the deployment result by accessing the 9400 port of the corresponding IP address in a browser and checking whether the monitoring data is obtained.

      Note

      Actually, access the service based on the configured IP address and port.

  4. Download Prometheus. Go to the official website and download the required version of the Prometheus installation package. For example, the following describes how to download the 2.50.1 Linux version.

    wget https://github.com/prometheus/prometheus/releases/download/v2.50.1/prometheus-2.50.1.linux-amd64.tar.gz
    
  5. Deploy Prometheus.

    1. Decompress and install the Prometheus software. The installation directory is /opt/prometheus.

      mkdir -p /opt/prometheus
      tar -zxvf prometheus-2.50.1.linux-amd64.tar.gz -C /opt/prometheus --strip-components=1
      
    2. Transfer the prometheus.yml configuration file to the working directory and edit it as needed.

      mv /opt/prometheus/prometheus.yml /usr/local/bin/
      vi /usr/local/bin/prometheus.yml
      

      Modify the following parameters:

      global:
        scrape_interval: 30s
        scrape_timeout: 20s
      
      scrape_configs:
        - job_name: "nodes"
          static_configs:
          - targets: ['localhost:9400']
      
    3. Create the Prometheus service file and the related data storage directory.

      mkdir /var/lib/prometheus/
      sudo vim /etc/systemd/system/Prometheus.service
      

      Fill in the following content and save it.

      Note

      The User and Group parameters are optional. For more information about how to set them, see the next step Set the username and user group.

      [Unit]
      Description=Prometheus
      Wants=network-online.target
      After=network-online.target
      
      [Service]
      User=prometheus
      Group=prometheus
      Restart=on-failure
      ExecStart=/opt/prometheus/prometheus \
            --config.file /usr/local/bin/prometheus.yml \
            --storage.tsdb.path /var/lib/prometheus/
      
      [Install]
      WantedBy=multi-user.target
      
    4. (Optional) Set the username and user group. If the user or user group specified in the previous step is not configured, you can skip this step.

      sudo groupadd prometheus
      sudo useradd -r -g prometheus prometheus
      sudo chown -R prometheus:prometheus /opt/prometheus /var/lib/prometheus
      sudo chmod -R 755 /opt/prometheus /var/lib/prometheus
      
  6. Start the Prometheus service.

    # Load the new systemd configuration.
    sudo systemctl daemon-reload
    
    # Start the Prometheus service.
    sudo systemctl start prometheus
    
    # Set the service to start automatically.
    sudo systemctl enable prometheus
    
    # Check the service status.
    sudo systemctl status prometheus
    
  7. Confirm whether the Prometheus service is started.

    sudo netstat -ntlp | grep 9090
    
  1. Download OBCloud Exporter.

    Note

    Currently, OBCloud Exporter cannot be directly downloaded. Contact Technical Support for assistance.

  2. Deploy OBCloud Exporter.

    1. Decompress the OBCloud Exporter installation package. The installation directory is /opt/obcloud-exporter.

      mkdir /opt/obcloud-exporter
      unzip Obcloud_Exporter.zip -d /opt/obcloud-exporter
      

      The decompressed directory contains the following files:

      • Dockerfile: the Docker container build file.
      • muticloud_metric_config.yaml: the metric configuration file. This file does not need to be modified by default.
      • application.yaml: the collection configuration file.
      • obcloud-exporter-1.0-SNAPSHOT-jar-with-dependencies.jar: the OBCloud Exporter program.
      • readme.md: the project description.
    2. Edit the application.yaml configuration file.

      muti_monitor:
        ## Credentials
        credential:
          access_key_id: xxx
          access_key_secret: xx
          end_point: xxx
        metric_meta_auto_refresh: false
        default_metric:
          - sql_all_rt
          - sql_delete_rt
        ## Instance information
        instances:
          instance_id: xxx
          tenant_id: xxx
          instance_type: tenant
          metrics:
            - sql_all_rt
            - sql_delete_rt
      

      The following table describes the parameters.

      Parameter
      Required
      Description
      Example value
      access_key_id Yes The authentication information. For more information, see Manage AccessKeys. ************
      access_key_secret Yes The authentication information. For more information, see Manage AccessKeys. ************
      end_point Yes The endpoint. For more information, see Service access endpoints. api-cloud.oceanbase.com
      metric_meta_auto_refresh No Specifies whether to automatically refresh the metrics. Default value: false. false
      default_metric No The default metric. If no instances are specified, you can use this parameter to specify the metrics to be collected for all instances in the account. - sql_all_rt
      instance_id No The ID of the instance. You can specify multiple instances. Separate them with hyphens (-). ob************
      tenant_id No To query the metrics of a specified tenant in a cluster, you must specify the tenant_id parameter. If you specify the instance_type parameter as cluster, you do not need to specify the tenant_id parameter. t************
      instance_type No The instance type. Valid values:
      • cluster: the metrics of the cluster. The metrics of all tenants in the cluster are automatically collected.
      • tenant: the metrics of the tenant.
      tenant
      metrics No The metrics to be collected. Default value: all metrics. For more information, see the Metrics section in this topic.

      Note

      Collecting too many metrics may affect the collection speed. In this case, you can split the metrics into multiple exporters.

      - sql_all_rt
  3. Start the OBCloud Exporter by using Docker.

    1. In the /opt/obcloud-exporter directory, build the obcloud-exporter container.

      cd /opt/obcloud-exporter
      docker build -t obcloud-exporter:1.0 .
      
    2. Start the container or map an external configuration file.

      1. Start the Docker container directly.

        docker run -itd -p9400:9400 --name obcloud-exporter obcloud-exporter:1.0
        
      2. Start the Docker container by mapping an external configuration file.

        docker run -itd -p9400:9400 -v /opt/obcloud-exporter/application.yaml:/app/application.yaml --name obcloud-exporter obcloud-exporter:1.0
        
  4. Verify the deployment result by using a browser. Access the 9400 port of the corresponding IP address to confirm whether the monitoring data is obtained.

    Note

    When you use the service, access the endpoint and port that you have configured.

  5. Create a Prometheus configuration file, prometheus.yml.

    vi /usr/local/bin/prometheus.yml
    

    Edit the content of the configuration file:

    global:
      scrape_interval: 30s
      evaluation_interval: 30s
    
    scrape_configs:
      - job_name: obcloud-exporter-test
        static_configs:
            # The IP address and port of the local server
          - targets: ['obcloud-exporter:9400']
            labels:
              instance: obcloud-exporter
    
  6. Start the Prometheus service.

    docker run  -d \
      -p 9090:9090 \
      -v /usr/local/bin/prometheus.yml:/etc/prometheus/prometheus.yml  \
      --link obcloud-exporter  \
      --name prometheus \
      prom/prometheus
    
  7. Check whether the Prometheus service is started.

    sudo netstat -ntlp | grep 9090
    
  1. Download OBCloud Exporter.

    Note

    Currently, you cannot directly download OBCloud Exporter. Contact Technical Support for more information.

  2. Decompress the OBCloud Exporter installation package and save it to the /opt/obcloud-exporter directory.

    mkdir /opt/obcloud-exporter
    unzip Obcloud_Exporter.zip -d /opt/obcloud-exporter
    

    After decompression, the directory contains the following files:

    • Dockerfile: the Docker container build file.
    • muticloud_metric_config.yaml: the metric configuration file. You do not need to modify this file.
    • application.yaml: the collection configuration file.
    • obcloud-exporter-1.0-SNAPSHOT-jar-with-dependencies.jar: the OBCloud Exporter program.
    • readme.md: the project description.
  3. Package and upload the OBCloud Exporter image file.

    1. In the /opt/obcloud-exporter directory, build the obcloud-exporter container.

      cd /opt/obcloud-exporter
      docker build -t obcloud-exporter:1.0 .
      
    2. Log in to the image repository of the cloud service provider. For example, log in to the Alibaba Cloud image repository. You can modify the image repository as needed.

      docker login registry.cn-hangzhou.aliyuncs.com
      Username: ****@test.com
      Password:
      
    3. Change the image name to the name of the image repository.

      docker tag obcloud-exporter:1.0 registry.cn-hangzhou.aliyuncs.com/obcloud-exporter:1.0
      
    4. docker push uploads the image to the image repository.

      docker push registry.cn-hangzhou.aliyuncs.com/obcloud-exporter:1.0
      
  4. Edit the deployment.yml file on the local server.

    1. Create the deployment.yml file.

      vi /opt/obcloud-exporter/deployment.yml
      
    2. Edit the file:

      apiVersion: v1
      kind: ConfigMap
      metadata:
        name: exporter-config
        namespace: default
        labels: {}
        annotations: {}
      data:
        application.yaml: |
          ## Monitor name
          aliyun_monitor:
            ## Credentials
            credential:
              access_key_id: xxx
              access_key_secret: xx
              ## Endpoint
              end_point: xxx
            ## Whether to automatically refresh metric metadata. Default is false (currently only supported for Alibaba Cloud).
            metric_meta_auto_refresh: false
            ## Default metrics. If no instances are configured, you can specify the metrics to collect using default_metric.
            default_metric:
              - sql_all_rt
              - sql_delete_rt
            instances:
              - ## Instance ID
                instance_id: xxx
                ## Instance type: cluster (host-level metrics, including tenant-level metrics) or tenant (database-level metrics).
                instance_type: cluster
                ## Metrics to collect
                metrics:
                  - sql_all_rt
                  - sql_delete_rt
              - ## Instance ID
                instance_id: xxx
                ## Specify the tenant ID when querying a tenant under a cluster. This parameter is optional when instance_type is set to cluster.
                ## For a tenant instance, both instance_id and tenant_id must be set to the same instance ID, and instance_type must be set to tenant.
                tenant_id: xxx
                ## Instance type: cluster (host-level metrics, including tenant-level metrics) or tenant (database-level metrics).
                instance_type: tenant
                ## Metrics to collect
                metrics:
                  - sql_all_rt
                  - sql_delete_rt
          ## Monitor name
          muti_monitor:
            ## Credentials
            credential:
              access_key_id: xxx
              access_key_secret: xx
              ## Endpoint
              end_point: xxx
              ## Whether to automatically refresh metric metadata. Default is false (currently only supported for Alibaba Cloud).
              metric_meta_auto_refresh: false
            instances:
              - ## Instance ID
                instance_id: xxx
                ## Specify the tenant ID when querying a tenant under a cluster. This parameter is optional when instance_type is set to cluster.
                ## For a tenant instance, both instance_id and tenant_id must be set to the same instance ID, and instance_type must be set to tenant.
                tenant_id: xxx
                ## Instance type: cluster (host-level metrics, including tenant-level metrics) or tenant (database-level metrics).
                instance_type: tenant
                metrics:
                  - sql_all_rt
                  - sql_delete_rt
      ---
      apiVersion: apps/v1
      kind: Deployment
      metadata:
        name: obcloud-exporter
        namespace: default
      spec:
        replicas: 1
        selector:
          matchLabels:
            app: obcloud-exporter
        template:
          metadata:
            labels:
              app: obcloud-exporter
          spec:
            containers:
              - name: exporter
                image: registry.cn-hangzhou.aliyuncs.com/obcloud-exporter:1.0
                env:
                - name: TZ
                  value: "Asia/Shanghai"  # Set the timezone
                command: ["java", "-jar", "/app/obcloud-exporter.jar"]
                imagePullPolicy: IfNotPresent
                livenessProbe:
                  httpGet:
                    path: /actuator/health
                    port: 8082
                  initialDelaySeconds: 15
                  periodSeconds: 20
                readinessProbe:
                  httpGet:
                    path: /
                    port: 9400
                  initialDelaySeconds: 5
                  periodSeconds: 10
                volumeMounts:
                  - name: config-volume
                    mountPath: /app/application.yaml
                    subPath: application.yaml
            volumes:
              - name: config-volume
                configMap:
                  name: exporter-config
      ---
      apiVersion: v1
      kind: Service
      metadata:
        name: exporter-service
        namespace: default
      spec:
        selector:
          app: obcloud-exporter
        ports:
          - protocol: TCP
            port: 9400
            targetPort: 9400
        type: ClusterIP
      

      Parameter description:

      Parameter
      Required
      Description
      Example value
      access_key_id Yes The authentication information. For more information, see Manage access keys. ************
      access_key_secret Yes The authentication information. For more information, see Manage access keys. ************
      end_point Yes The endpoint. For more information, see Service endpoints. api-cloud.oceanbase.com
      metric_meta_auto_refresh No Specifies whether to periodically refresh the metric. Default value: false. false
      default_metric No The default metric. If no instances are specified, you can use this parameter to specify the metric to be collected for all instances. - sql_all_rt
      instance_id No The ID of the instance. You can specify multiple instances. Separate them with hyphens (-). ob************
      tenant_id No To query the specified tenant in the cluster, you must specify the tenant_id. If you specify the instance_type as cluster, you can omit the tenant_id. t************
      instance_type No The instance type. Valid values:
      • cluster: the cluster-level metrics. The metrics of all tenants in the cluster are automatically collected.
      • tenant: the tenant-level metrics.
      tenant
      metrics No The metric information. By default, all metrics are collected. For more information about the metrics, see the Monitoring metrics section in this topic.

      Note

      Collecting too many metrics may affect the collection speed. In this case, you can split the metrics into multiple exporters.

      - sql_all_rt
    3. After you save and update the deployment file, run the following command to apply the changes:

      kubectl apply -f /opt/obcloud-exporter/deployment.yml
      
  5. Create a Prometheus configuration file named prometheus.yml.

    vi /opt/obcloud-exporter/prometheus.yml
    

    Edit the content of the configuration file:

    apiVersion: v1
    kind: ConfigMap
    metadata:
      name: prometheus-config
      namespace: default
    data:
      prometheus.yaml: |
        global:
          scrape_interval: 60s
          scrape_timeout: 55s
        scrape_configs:
        - job_name: "exporter"
          static_configs:
          - targets: ['exporter-service:9400']
    ---
    apiVersion: apps/v1
    kind: Deployment
    metadata:
      name: prometheus
      namespace: default
    spec:
      selector:
        matchLabels:
          app: prometheus
      template:
        metadata:
          labels:
            app: prometheus
        spec:
          volumes:
            - name: config-volume
              configMap:
                name: prometheus-config
          containers:
            - image: prom/prometheus:v2.35.0
              name: prometheus
              args:
                - "--config.file=/etc/prometheus/prometheus.yaml"
                - "--storage.tsdb.path=/prometheus" # Specifies the TSDB data path.
                - "--storage.tsdb.retention.time=15d"
                - "--web.enable-lifecycle" # Enables hot updates. You can directly execute the command at http://localhost:30000/-/reload to take effect.
              ports:
                - containerPort: 9090
                  name: http
              securityContext:
                runAsUser: 0
              volumeMounts:
                - mountPath: "/etc/prometheus"
                  name: config-volume
    ---
    apiVersion: v1
    kind: Service
    metadata:
      name: prometheus
      namespace: default
    spec:
      selector:
        app: prometheus
      type: NodePort
      ports:
        - name: web
          port: 9090
          nodePort: 30000 # Specifies the default node port.
          targetPort: http
    
  6. Start the Prometheus service.

    kubectl apply -f /opt/obcloud-exporter/prometheus.yml
    

View database monitoring data in Prometheus

Log in to the Prometheus console at http://localhost:9090/targets and view the monitoring data.

l

Configuration example

Dynamically obtain instances under the account (recommended)

  • Collect specified metrics

    ## Monitor name
    monitor:
      ## Credentials
      credential:
        access_key_id: xxx
        access_key_secret: xx
        ## Endpoint
        end_point: xxx
      ## Default metrics, when no instances are configured, you can specify the metrics to collect by using default_metric.
      default_metric:
        - sql_all_rt
        - sql_delete_rt
    
  • Collect all metrics

    ## Monitor name
    monitor:
      ## Credentials
      credential:
        access_key_id: xxx
        access_key_secret: xx
        ## Endpoint
        end_point: xxx
    

Collect specified clusters under the account

  • Collect specified metrics. You can choose instance_type as needed.

    ## Monitor name
    monitor:
      ## Credentials
      credential:
        access_key_id: xxx
        access_key_secret: xx
        ## Endpoint
        end_point: xxx
      instances:
      - ## Instance ID
          instance_id: xxx
          tenant_id: xxx
          instance_type: tenant
          metrics:
            - sql_all_rt
            - sql_delete_rt
    
  • Collect all metrics. When instance_type is set to cluster, both host metrics of the cluster and tenant database metrics of the cluster are collected.

    ## Monitor name
    monitor:
      ## Credentials
      credential:
        access_key_id: xxx
        access_key_secret: xx
        end_point: xxx
      instances:
          instance_id: xxx
          instance_type: cluster
    
  • Collect all tenant database metrics. When instance_type is set to tenant, only tenant database metrics of the specified tenant are collected.

    ## Monitor name
    monitor:
      ## Credentials
      credential:
        access_key_id: xxx
        access_key_secret: xx
        end_point: xxx
      instances:
          instance_id: xxx
          tenant_id: xx
          instance_type: tenant
    

Collect multiple accounts

## Monitor name
aliyun:
  ## Credentials
  credential:
    access_key_id: xxx
    access_key_secret: xx
    end_point: xxx
## Monitor name
muti:
  ## Credentials
  credential:
    access_key_id: xxx
    access_key_secret: xx
    ## Endpoint
    end_point: xxx

List of metrics

Host metrics

Metric
Description
Unit
load1 The average load of the system in the last minute. -
load5 The average load of the system in the last 5 minutes. -
load15 The average load of the system in the last 15 minutes. -
cpu_percent The CPU usage. %
memory_buffers The size of the kernel buffer cache. GiB
memory_cached The size of memory used for caching. GiB
memory_free The size of available physical memory. GiB
memory_used The percentage of physical memory used. %
net_recv The amount of data received per second. MiB
net_send The amount of data sent per second. MiB
net_throughput The network throughput. MiB
ntp_offset_milliseconds The offset of the NTP clock. ms
io_read The number of read operations per second. times/s
io_write The number of write operations per second. times/s
io_time The I/O time. ms
io_read_time The average I/O read time. ms
io_write_time The average I/O write time. ms
io_byte The average I/O data volume per second. MiB
io_read_byte The data volume of each read operation. MiB
io_write_byte The data volume of each write operation. MiB
ob_data_disk_percent The usage of the OB data disk. %
ob_clog_disk_percent The usage of the OB log disk. %
ob_data_disk_used_size The disk usage. GiB
ob_process_exists The status of the OB process. -
ob_clog_io The average number of I/O operations per second on the OB log disk. times/s
ob_clog_io_read The average number of read I/O operations per second on the OB log disk. times/s
ob_clog_io_write The average number of write I/O operations per second on the OB log disk. times/s
ob_clog_io_read_time The average I/O read time. ms
ob_clog_io_time The average I/O time. ms
ob_clog_io_write_time The average I/O write time. ms
ob_clog_io_byte The average I/O data volume per second on the OB log disk. MiB
ob_clog_io_read_byte The I/O data volume read per second on the OB log disk. MiB
ob_clog_io_write_byte The I/O data volume written per second on the OB log disk. MiB
ob_clog_io_util The I/O busy ratio of the OB log disk. %
ob_data_io The average number of I/O operations per second on the OB data disk. times/s
ob_data_io_read The average number of read I/O operations per second on the OB data disk. times/s
ob_data_io_write The average number of write I/O operations per second on the OB data disk. times/s
ob_data_io_read_time The average I/O read time. ms
ob_data_io_time The average I/O time. ms
ob_data_io_write_time The average I/O write time. ms
ob_data_io_byte The average I/O data volume per second on the OB data disk. MiB
ob_data_io_read_byte The I/O data volume read per second on the OB data disk. MiB
ob_data_io_write_byte The I/O data volume written per second on the OB data disk. MiB
ob_data_io_util The I/O busy ratio of the OB data disk. %

Tenant database

Performance and SQL

Metric Name
Description
Unit
sql_all_count The number of SQL statements processed per second. times/s
sql_delete_count The number of Delete statements processed per second. times/s
sql_insert_count The number of Insert statements processed per second. times/s
sql_other_count The number of other statements such as DDL, DCL, and DTL statements processed per second. times/s
sql_replace_count The number of Replace statements processed per second. times/s
sql_select_count The number of Select statements processed per second. times/s
sql_update_count The number of Update statements processed per second. times/s
sql_all_rt The average processing time of an SQL statement. ms
sql_delete_rt The average processing time of a Delete statement. ms
sql_insert_rt The average processing time of an Insert statement. ms
sql_other_rt The average processing time of other statements such as DDL, DCL, and DTL statements. ms
sql_replace_rt The average processing time of a Replace statement. ms
sql_select_rt The average processing time of a Select statement. ms
sql_update_rt The average processing time of an Update statement. ms
active_session The number of active sessions. -
all_session The number of sessions. -
sql_distributed_count The number of distributed execution plans processed per second. times/s
sql_local_count The number of local executions processed per second. times/s
sql_remote_count The number of remote execution plans processed per second. times/s
system_event_internal_total_waits The number of internal wait events per second. times/s
system_event_io_total_waits The number of I/O wait events per second. times/s
system_event_latch_total_waits The number of latch wait events per second. times/s
system_event_other_total_waits The number of other wait events per second. times/s
system_event_row_lock_wait_total_waits The number of lock wait events per second. times/s
system_event_sync_rpc_total_waits The number of synchronous RPC wait events per second. times/s
wait_event_count The number of wait events per second. times/s
wait_event_rt The average wait time. ms
request_dequeue_count The number of requests dequeued from the processing queue per second. times/s
request_enqueue_count The number of requests enqueued to the processing queue per second. times/s
request_queue_time The average wait time of an SQL request in the wait queue. μs
ob_cpu_percent The CPU usage of the tenant threads. -
memstore_percent The percentage of MEMStore usage. -
rpc_packet_in_rt The average receive time of an RPC packet. μs
rpc_packet_out_rt The average send time of an RPC packet. μs
rpc_packet_in The throughput of RPC packets received per second. byte
rpc_packet_out The throughput of RPC packets sent per second. byte
opened_cursors_count The number of open cursors. -
uptime The available time. s

Transactions

Metric Name
Description
Unit
transaction_commit_count The number of committed transactions per second. times/s
transaction_count TPS times/s
transaction_rollback_count The number of rolled back transactions per second. times/s
transaction_timeout_count The number of timed out transactions per second. times/s
transaction_commit_rt The average commit time of a transaction. ms
transaction_rollback_rt The average rollback time of a transaction. ms
transaction_rt The average processing time of a transaction on the server. ms
trans_commit_log_count The number of transaction logs committed per second. times/s
clog_trans_log_total_size The size of transaction logs committed per second. byte
memstore_write_lock_fail_count The number of write lock wait failures per second. times/s
memstore_write_lock_succ_count The number of write lock wait successes per second. times/s
memstore_write_lock_wait_time The average write lock wait time. μs
transaction_multi_partition_count The number of distributed transactions per second. times/s
transaction_single_partition_count The number of regular transactions per second. times/s
trans_commit_log_sync_rt The average network synchronization time of a transaction log. μs

Storage and cache

Metric
Description
Unit
active_memstore_used The size of the active MEMStore. MiB
major_freeze_trigger The threshold for triggering a major compaction. MiB
memstore_limit The limit of the MEMStore. MiB
total_memstore_used The total size of the MEMStore. MiB
io_count The number of I/O operations per second (IOPS) for the SSStore. times/s
io_read_count The number of read operations per second for the SSStore. times/s
io_write_count The number of write operations per second for the SSStore. times/s
io_rt The I/O latency. μs
io_read_rt The average read latency for the SSStore. μs
io_write_rt The average write latency for the SSStore. μs
io_size The amount of data processed per second by the SSStore. byte
io_read_size The amount of data read per second by the SSStore. byte
io_write_size The amount of data written per second by the SSStore. byte
block_cache_size The size of the block cache. MiB
bloom_filter_cache_size The size of the bloom filter cache. MiB
clog_cache_size The size of the Clog cache. MiB
location_cache_size The size of the location cache. MiB
plan_cache_size The size of the execution plan cache. MiB
row_cache_size The size of the row cache. MiB
block_cache_hit_ratio The hit ratio of the block cache. -
bloom_filter_cache_hit_ratio The hit ratio of the bloom filter cache. -
clog_cache_hit_ratio The hit ratio of the Clog cache. -
location_cache_hit_ratio The hit ratio of the location cache. -
plan_cache_hit_ratio The hit ratio of the execution plan cache. -
row_cache_hit_ratio The hit ratio of the row cache. -
block_cache_req_total The total number of block cache requests. -
bloom_filter_cache_req_total The total number of bloom filter cache requests. -
clog_cache_req_total The total number of Clog cache requests. -
location_cache_req_total The total number of location cache requests. -
row_cache_req_total The total number of row cache requests. -
ob_tenant_binlog_disk_used The size of the binlog disk used by the tenant. GiB
ob_tenant_log_disk_total_bytes The total size of the log disk. GiB
ob_tenant_log_disk_used_bytes The size of the log disk used by the tenant. GiB
ob_tenant_disk_used_percentage The percentage of the tenant disk space used. %
ob_tenant_data_size The size of the tenant disk space used. GiB

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Background information
Prerequisites
Procedure
View database monitoring data in Prometheus
Configuration example
Dynamically obtain instances under the account (recommended)
Collect specified clusters under the account
Collect multiple accounts
List of metrics
Host metrics
Tenant database