MariaDB

The MariaDB integration collects performance metrics related to InnoDB, the buffer pool, and various other operations. It also collects general, error, and slow-query logs and parses them into a JSON payload. Error logs are parsed for their error code and subsystem. Slow-query logs are parsed into key-value pairs that describe the performance of a query, including query time and rows examined.

For more information about MariaDB, see the MariaDB documentation.

Prerequisites

To collect MariaDB telemetry, you must install the Ops Agent:

For metrics, install version 2.37.0 or higher.
For logs, install version 2.37.0 or higher.

This integration supports MariaDB versions 10.1.X through 10.7.X.

Configure your MariaDB instance

MariaDB is a community-developed, commercially supported fork of the MySQL relational database management system (RDBMS). To collect logs and metrics for MariaDB, use the mysql receivers.

The mysql metrics receiver connects by default to a local MariaDB server using a Unix socket and Unix authentication as the root user.

The mysql_error logging receiver collects logs from the default file paths shown in the following table. On some platforms, MariaDB logs to journald by default instead of to file. To configure MariaDB to log to a file instead, set the log_error option in the MariaDB configuration. For more information about log_error configuration, see Writing the Error Log to a File.

Configure the Ops Agent for MariaDB

Following the guide to Configure the Ops Agent, add the required elements to collect telemetry from MariaDB instances, and restart the agent.

Example configuration

The following commands create the configuration to collect and ingest telemetry for MariaDB and restart the Ops Agent.

# Configures Ops Agent to collect telemetry from the app and restart Ops Agent.

set -e

# Create a back up of the existing file so existing configurations are not lost.
sudo cp /etc/google-cloud-ops-agent/config.yaml /etc/google-cloud-ops-agent/config.yaml.bak

# Configure the Ops Agent.
sudo tee /etc/google-cloud-ops-agent/config.yaml > /dev/null << EOF
metrics:
  receivers:
    mysql:
      type: mysql
  service:
    pipelines:
      mysql:
        receivers:
        - mysql
logging:
  receivers:
    mysql_error:
      type: mysql_error
    mysql_general:
      type: mysql_general
    mysql_slow:
      type: mysql_slow
  service:
    pipelines:
      mysql:
        receivers:
          - mysql_error
          - mysql_general
          - mysql_slow
EOF

sudo service google-cloud-ops-agent restart
sleep 60

Configure logs collection

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

To configure a receiver for your mysql_error logs, specify the following fields:

Field	Default	Description
`exclude_paths`		A list of filesystem path patterns to exclude from the set matched by `include_paths`.
`include_paths`	`[/var/log/mysqld.log, /var/log/mysql/mysqld.log, /var/log/mysql/error.log, /run/mysqld/mysqld.err, /var/lib/mysql/${HOSTNAME}.err]`	A list of filesystem paths to read by tailing each file. A wild card (``) can be used in the paths; for example, `/var/log/mysql/.log`.
`record_log_file_path`	`false`	If set to `true`, then the path to the specific file from which the log record was obtained appears in the output log entry as the value of the `agent.googleapis.com/log_file_path` label. When using a wildcard, only the path of the file from which the record was obtained is recorded.
`type`		This value must be `mysql_error`.
`wildcard_refresh_interval`	`60s`	The interval at which wildcard file paths in `include_paths` are refreshed. Given as a time duration, for example `30s` or `2m`. This property might be useful under high logging throughputs where log files are rotated faster than the default interval.

To configure a receiver for your mysql_general logs, specify the following fields:

Field	Default	Description
`exclude_paths`		A list of filesystem path patterns to exclude from the set matched by `include_paths`.
`include_paths`	`[/var/lib/mysql/${HOSTNAME}.log]`	A list of filesystem paths to read by tailing each file. A wild card (`*`) can be used in the paths.
`record_log_file_path`	`false`	If set to `true`, then the path to the specific file from which the log record was obtained appears in the output log entry as the value of the `agent.googleapis.com/log_file_path` label. When using a wildcard, only the path of the file from which the record was obtained is recorded.
`type`		This value must be `mysql_general`.
`wildcard_refresh_interval`	`60s`	The interval at which wildcard file paths in `include_paths` are refreshed. Given as a time duration, for example `30s` or `2m`. This property might be useful under high logging throughputs where log files are rotated faster than the default interval.

To configure a receiver for your mysql_slow logs, specify the following fields:

Field	Default	Description
`exclude_paths`		A list of filesystem path patterns to exclude from the set matched by `include_paths`.
`include_paths`	`[/var/lib/mysql/${HOSTNAME}-slow.log]`	A list of filesystem paths to read by tailing each file. A wild card (`*`) can be used in the paths.
`record_log_file_path`	`false`	If set to `true`, then the path to the specific file from which the log record was obtained appears in the output log entry as the value of the `agent.googleapis.com/log_file_path` label. When using a wildcard, only the path of the file from which the record was obtained is recorded.
`type`		This value must be `mysql_slow`.
`wildcard_refresh_interval`	`60s`	The interval at which wildcard file paths in `include_paths` are refreshed. Given as a time duration, for example `30s` or `2m`. This property might be useful under high logging throughputs where log files are rotated faster than the default interval.

What is logged

The logName is derived from the receiver IDs specified in the configuration. Detailed fields inside the LogEntry are as follows.

The mysql_error logs contain the following fields in the LogEntry:

Field	Type	Description
`jsonPayload.errorCode`	string	MySQL error code associated with the log
`jsonPayload.level`	string	Log entry level
`jsonPayload.message`	string	Log message
`jsonPayload.subsystem`	string	MySQL subsystem where the log originated
`jsonPayload.tid`	number	Thread ID where the log originated
`severity`	string (`LogSeverity`)	Log entry level (translated).

The mysql_general logs contain the following fields in the LogEntry:

Field	Type	Description
`jsonPayload.command`	string	Type of database action being logged
`jsonPayload.message`	string	Log of the database action
`jsonPayload.tid`	number	Thread ID where the log originated
`severity`	string (`LogSeverity`)	Log entry level (translated).

The mysql_slow logs contain the following fields in the LogEntry:

Field	Type	Description
`jsonPayload.bytesSent`	number	The number of bytes sent to all clients
`jsonPayload.createdTmpDiskTables` ^†	number	The number of internal on-disk temporary tables created by the server
`jsonPayload.createdTmpTables` ^†	number	The number of internal temporary tables created by the server
`jsonPayload.createdTmpTableSizes` ^†	number	The number of bytes used by internal temporary tables created by the server
`jsonPayload.database`	string	Database where the query was executed
`jsonPayload.filesort` ^†	boolean	The statement used filesort
`jsonPayload.filesortOnDisk` ^†	boolean	The statement used filesort that needed temporary tables on disk
`jsonPayload.fullJoin` ^†	boolean	The statement didn't use an index to join tables
`jsonPayload.fullScan` ^†	boolean	The statement used a full table scan
`jsonPayload.host`	string	Host name the client connected from
`jsonPayload.ipAddress`	string	IP address the client connected from
`jsonPayload.lockTime`	number	The time to acquire locks in seconds
`jsonPayload.message`	string	Full text of the query
`jsonPayload.priorityQueue` ^†	boolean	The statement used a priority queue filesort
`jsonPayload.queryCacheHit`	boolean	The statement was served from the query cache
`jsonPayload.queryTime`	number	The statement execution time in seconds
`jsonPayload.rowsAffected`	integer	The number of rows affected by the statement
`jsonPayload.rowsExamined`	number	The number of rows examined by the server layer
`jsonPayload.rowsSent`	number	The number of rows sent to the client
`jsonPayload.sortMergePasses` ^†	number	The number of merge passes that the sort algorithm has had to do
`jsonPayload.storedRoutine`	string	The name of the stored routine currently being executed
`jsonPayload.tid`	number	Thread ID where the query was logged
`jsonPayload.user`	string	Authenticated user that executed the query
`severity`	string (`LogSeverity`)	Log entry level (translated).

^† These fields are only provided if the log_slow_verbosity system variable contains 'query_plan'.

Configure metrics collection

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

This receiver does not support the use of multiple instances in the configuration, for example, to monitor 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 your mysql metrics, specify the following fields:

Field	Default	Description
`collection_interval`	`60s`	A time duration value, such as `30s` or `5m`.
`endpoint`	`/var/run/mysqld/mysqld.sock`	The `hostname:port` or Unix socket path starting with `/` used to connect to the MariaDB server.
`password`		The password used to connect to the server.
`type`		This value must be `mysql`.
`username`	`root`	The username used to connect to the server.

What is monitored

The following table provides the list of metrics that the Ops Agent collects from the MariaDB instance.

Metric type
Kind, Type Monitored resources	Labels
`workload.googleapis.com/mysql.buffer_pool_data_pages`
`GAUGE`, `INT64` gce_instance	`status`
`workload.googleapis.com/mysql.buffer_pool_limit`
`GAUGE`, `INT64` gce_instance
`workload.googleapis.com/mysql.buffer_pool_operations`
`CUMULATIVE`, `INT64` gce_instance	`operation`
`workload.googleapis.com/mysql.buffer_pool_page_flushes`
`CUMULATIVE`, `INT64` gce_instance
`workload.googleapis.com/mysql.buffer_pool_pages`
`GAUGE`, `DOUBLE` gce_instance	`kind`
`workload.googleapis.com/mysql.buffer_pool_size`
`GAUGE`, `DOUBLE` gce_instance	`kind`
`workload.googleapis.com/mysql.commands`
`CUMULATIVE`, `INT64` gce_instance	`command`
`workload.googleapis.com/mysql.double_writes`
`CUMULATIVE`, `INT64` gce_instance	`kind`
`workload.googleapis.com/mysql.handlers`
`CUMULATIVE`, `INT64` gce_instance	`kind`
`workload.googleapis.com/mysql.locks`
`CUMULATIVE`, `INT64` gce_instance	`kind`
`workload.googleapis.com/mysql.log_operations`
`CUMULATIVE`, `INT64` gce_instance	`operation`
`workload.googleapis.com/mysql.operations`
`CUMULATIVE`, `INT64` gce_instance	`operation`
`workload.googleapis.com/mysql.page_operations`
`CUMULATIVE`, `INT64` gce_instance	`operation`
`workload.googleapis.com/mysql.replica.sql_delay`
`GAUGE`, `INT64` gce_instance
`workload.googleapis.com/mysql.replica.time_behind_source`
`GAUGE`, `INT64` gce_instance
`workload.googleapis.com/mysql.row_locks`
`CUMULATIVE`, `INT64` gce_instance	`kind`
`workload.googleapis.com/mysql.row_operations`
`CUMULATIVE`, `INT64` gce_instance	`operation`
`workload.googleapis.com/mysql.sorts`
`CUMULATIVE`, `INT64` gce_instance	`kind`
`workload.googleapis.com/mysql.threads`
`GAUGE`, `DOUBLE` gce_instance	`kind`

Verify the configuration

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

To verify that MariaDB logs are being sent to Cloud Logging, do the following:

In the Google Cloud console, go to the Logs Explorer page:
Go to Logs Explorer

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

Enter the following query in the editor, and then click Run query:

resource.type="gce_instance"
(log_id("mysql_error") OR log_id("mysql_general") OR log_id("mysql_slow"))

To verify that MariaDB metrics are being sent to Cloud Monitoring, do the following:

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

If you use the search bar to find this page, then select the result whose subheading is Monitoring.
In the toolbar of the query-builder pane, select the button whose name is either MQL or PromQL.
Verify that MQL is selected in the Language toggle. The language toggle is in the same toolbar that lets you format your query.

Enter the following query in the editor, and then click Run query:

fetch gce_instance
| metric 'workload.googleapis.com/mysql.threads'
| every 1m

View dashboard

To view your MariaDB metrics, you must have a chart or dashboard configured. MariaDB uses the same dashboards as MySQL. Any dashboards are automatically installed after you configure the integration and the Ops Agent has begun collecting metric data.

You can also view static previews of dashboards without installing the integration.

To view an installed dashboard, do the following:

In the Google Cloud console, go to the Dashboards page:
Go to Dashboards

If you use the search bar to find this page, then select the result whose subheading is Monitoring.
Select the Dashboard List tab, and then choose the Integrations category.
Click the name of the dashboard you want to view. MariaDB uses the same dashboards as MySQL.

If you have configured an integration but the dashboard has not been installed, then check that the Ops Agent is running. When there is no metric data for a chart in the dashboard, installation of the dashboard fails. After the Ops Agent begins collecting metrics, the dashboard is installed for you.

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

In the Google Cloud console, go to the Integrations page:
Go to Integrations

If you use the search bar to find this page, then select the result whose subheading is Monitoring.
Click the Compute Engine deployment-platform filter.
Locate the entry for MySQL and click View Details. MariaDB uses the same dashboards as MySQL.
Select the Dashboards tab to see a static preview. If the dashboard is installed, then you can navigate to it by clicking View dashboard.

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

For more information about using the Integrations page, see Manage integrations.

Install alerting policies

Alerting policies instruct Cloud Monitoring to notify you when specified conditions occur. MariaDB uses the same alerting policies as MySQL. You can view and install these alerting policies from the Integrations page in Monitoring.

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

In the Google Cloud console, go to the Integrations page:
Go to Integrations

If you use the search bar to find this page, then select the result whose subheading is Monitoring.
Locate the entry for MySQL and click View Details. MariaDB uses the same alerting policies as MySQL.
Select the Alerts tab. This tab provides descriptions of available alerting policies and provides an interface for installing them.
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 the Configure 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, see Manage notification channels.
3. Click Create Policies.

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

For more information about using the Integrations page, see Manage integrations.

What's next

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