// Use these skills when you need to troubleshoot slow queries, analyze system-level PromQL metrics, and identify structural performance issues like table fragmentation or missing unique indexes.
Use these skills when you need to provision new Cloud SQL for MySQL instances, create databases and users, clone existing environments, and monitor the progress of infrastructure operations.
Use these skills when you need to explore your database schema, execute SQL queries to interact with your data, and inspect how MySQL plans to execute your statements.
Use these skills when you need to manage the durability and safety of your data by creating backups, restoring from previous states, or cloning instances for recovery and testing.
| name | cloud-sql-mysql-monitor |
| description | Use these skills when you need to troubleshoot slow queries, analyze system-level PromQL metrics, and identify structural performance issues like table fragmentation or missing unique indexes. |
All scripts can be executed using Node.js. Replace <param_name> and <param_value> with actual values.
Bash:
node <skill_dir>/scripts/<script_name>.js '{"<param_name>": "<param_value>"}'
PowerShell:
node <skill_dir>/scripts/<script_name>.js '{\"<param_name>\": \"<param_value>\"}'
Note: The scripts automatically load the environment variables from various .env files. Do not ask the user to set vars unless skill executions fails due to env var absence.
Fetches query level cloudmonitoring data (timeseries metrics) for queries running in Mysql instance using a PromQL query. Take projectID and instanceID from the user for which the metrics timeseries data needs to be fetched.
To use this skill, you must provide the Google Cloud projectId and a PromQL query.
Generate PromQL query for Mysql query metrics. Use the provided metrics and rules to construct queries, Get the labels like instance_id, query_hash from user intent. If query_hash is provided then use the per_query metrics. Query hash and query id are same.
Defaults:
5m for _over_time aggregation functions unless a different window is specified by the user.PromQL Query Examples:
avg_over_time({"__name__"="dbinsights.googleapis.com/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m])topk(30, avg_over_time({"__name__"="dbinsights.googleapis.com/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))avg(avg_over_time({"__name__"="dbinsights.googleapis.com/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))min(min_over_time({"__name__"="dbinsights.googleapis.com/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))max(max_over_time({"__name__"="dbinsights.googleapis.com/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))sum(avg_over_time({"__name__"="dbinsights.googleapis.com/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))count(avg_over_time({"__name__"="dbinsights.googleapis.com/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))quantile by ("resource_id","database")(0.99,avg_over_time({"__name__"="dbinsights.googleapis.com/aggregate/execution_time","monitored_resource"="cloudsql_instance_database","project_id"="my-projectId","resource_id"="my-projectId:my-instanceId"}[5m]))Available Metrics List: metricname. description. monitored resource. labels. resource_id label format is project_id:instance_id which is actually instance id only. aggregate is the aggregated values for all query stats, Use aggregate metrics if query id is not provided. For perquery metrics do not fetch querystring unless specified by user specifically. Have the aggregation on query hash to avoid fetching the querystring. Do not use latency metrics for anything.
dbinsights.googleapis.com/aggregate/latencies: Cumulative query latency distribution per user and database. cloudsql_instance_database. user, client_addr, database, project_id, resource_id.dbinsights.googleapis.com/aggregate/execution_time: Cumulative query execution time per user and database. cloudsql_instance_database. user, client_addr, database, project_id, resource_id.dbinsights.googleapis.com/aggregate/execution_count: Total number of query executions per user and database. cloudsql_instance_database. user, client_addr, database, project_id, resource_id.dbinsights.googleapis.com/aggregate/lock_time: Cumulative lock wait time per user and database. cloudsql_instance_database. user, client_addr, lock_type, database, project_id, resource_id.dbinsights.googleapis.com/aggregate/io_time: Cumulative IO wait time per user and database. cloudsql_instance_database. user, client_addr, database, project_id, resource_id.dbinsights.googleapis.com/aggregate/row_count: Total number of rows affected during query execution. cloudsql_instance_database. user, client_addr, row_status, database, project_id, resource_id.dbinsights.googleapis.com/perquery/latencies: Cumulative query latency distribution per user, database, and query. cloudsql_instance_database. querystring, user, client_addr, query_hash, database, project_id, resource_id.dbinsights.googleapis.com/perquery/execution_time: Cumulative query execution time per user, database, and query. cloudsql_instance_database. querystring, user, client_addr, query_hash, database, project_id, resource_id.dbinsights.googleapis.com/perquery/execution_count: Total number of query executions per user, database, and query. cloudsql_instance_database. querystring, user, client_addr, query_hash, database, project_id, resource_id.dbinsights.googleapis.com/perquery/lock_time: Cumulative lock wait time per user, database, and query. cloudsql_instance_database. querystring, user, client_addr, lock_type, query_hash, database, project_id, resource_id.dbinsights.googleapis.com/perquery/io_time: Cumulative io wait time per user, database, and query. cloudsql_instance_database. querystring, user, client_addr, query_hash, database, project_id, resource_id.dbinsights.googleapis.com/perquery/row_count: Total number of rows affected during query execution. cloudsql_instance_database. querystring, user, client_addr, query_hash, row_status, database, project_id, resource_id.dbinsights.googleapis.com/pertag/latencies: Cumulative query latency distribution per user, database, and tag. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, tag_hash, database, project_id, resource_id.dbinsights.googleapis.com/pertag/execution_time: Cumulative query execution time per user, database, and tag. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, tag_hash, database, project_id, resource_id.dbinsights.googleapis.com/pertag/execution_count: Total number of query executions per user, database, and tag. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, tag_hash, database, project_id, resource_id.dbinsights.googleapis.com/pertag/lock_time: Cumulative lock wait time per user, database and tag. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, lock_type, tag_hash, database, project_id, resource_id.dbinsights.googleapis.com/pertag/io_time: Cumulative IO wait time per user, database and tag. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, tag_hash, database, project_id, resource_id.dbinsights.googleapis.com/pertag/row_count: Total number of rows affected during query execution. cloudsql_instance_database. user, client_addr, action, application, controller, db_driver, framework, route, tag_hash, row_status, database, project_id, resource_id.| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| projectId | string | The Id of the Google Cloud project. | Yes | |
| query | string | The promql query to execute. | Yes |
Provide information about how MySQL executes a SQL statement. Common use cases include: 1) analyze query plan to improve its performance, and 2) determine effectiveness of existing indexes and evalueate new ones.
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| sql_statement | string | The sql statement to explain. | Yes |
Fetches system level cloudmonitoring data (timeseries metrics) for a MySQL instance using a PromQL query. Take projectId and instanceId from the user for which the metrics timeseries data needs to be fetched.
To use this skill, you must provide the Google Cloud projectId and a PromQL query.
Generate PromQL query for MySQL system metrics. Use the provided metrics and rules to construct queries, Get the labels like instance_id from user intent.
Defaults:
5m for _over_time aggregation functions unless a different window is specified by the user.PromQL Query Examples:
avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m])topk(30, avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))avg(avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))min(min_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))max(max_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))sum(avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))count(avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))quantile by ("database_id")(0.99,avg_over_time({"__name__"="cloudsql.googleapis.com/database/cpu/utilization","monitored_resource"="cloudsql_database","project_id"="my-projectId","database_id"="my-projectId:my-instanceId"}[5m]))Available Metrics List: metricname. description. monitored resource. labels. database_id is actually the instance id and the format is project_id:instance_id.
cloudsql.googleapis.com/database/cpu/utilization: Current CPU utilization as a percentage of reserved CPU. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/network/connections: Number of connections to the database instance. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/network/received_bytes_count: Delta count of bytes received through the network. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/network/sent_bytes_count: Delta count of bytes sent through the network. cloudsql_database. destination, database, project_id, database_id.cloudsql.googleapis.com/database/memory/components: Memory usage for components like usage, cache, and free memory. cloudsql_database. component, database, project_id, database_id.cloudsql.googleapis.com/database/disk/bytes_used_by_data_type: Data utilization in bytes. cloudsql_database. data_type, database, project_id, database_id.cloudsql.googleapis.com/database/disk/read_ops_count: Delta count of data disk read IO operations. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/disk/write_ops_count: Delta count of data disk write IO operations. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/mysql/queries: Delta count of statements executed by the server. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/mysql/questions: Delta count of statements sent by the client. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/mysql/received_bytes_count: Delta count of bytes received by MySQL process. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/mysql/sent_bytes_count: Delta count of bytes sent by MySQL process. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/mysql/innodb_buffer_pool_pages_dirty: Number of unflushed pages in the InnoDB buffer pool. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/mysql/innodb_buffer_pool_pages_free: Number of unused pages in the InnoDB buffer pool. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/mysql/innodb_buffer_pool_pages_total: Total number of pages in the InnoDB buffer pool. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/mysql/innodb_data_fsyncs: Delta count of InnoDB fsync() calls. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/mysql/innodb_os_log_fsyncs: Delta count of InnoDB fsync() calls to the log file. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/mysql/innodb_pages_read: Delta count of InnoDB pages read. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/mysql/innodb_pages_written: Delta count of InnoDB pages written. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/mysql/open_tables: The number of tables that are currently open. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/mysql/opened_table_count: The number of tables opened since the last sample. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/mysql/open_table_definitions: The number of table definitions currently cached. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/mysql/opened_table_definitions_count: The number of table definitions cached since the last sample. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/mysql/innodb/dictionary_memory: Memory allocated for the InnoDB dictionary cache. cloudsql_database. database, project_id, database_id.| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| projectId | string | The Id of the Google Cloud project. | Yes | |
| query | string | The promql query to execute. | Yes |
Lists top N (default 10) ongoing queries from processlist and innodb_trx, ordered by execution time in descending order. Returns detailed information of those queries in json format, including process id, query, transaction duration, transaction wait duration, process time, transaction state, process state, username with host, transaction rows locked, transaction rows modified, and db schema.
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| min_duration_secs | integer | Optional: Only show queries running for at least this long in seconds | No | 0 |
| limit | integer | Optional: The maximum number of rows to return. | No | 100 |
List table fragmentation in MySQL, by calculating the size of the data and index files and free space allocated to each table. The query calculates fragmentation percentage which represents the proportion of free space relative to the total data and index size. Storage can be reclaimed for tables with high fragmentation using OPTIMIZE TABLE.
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| table_schema | string | (Optional) The database where fragmentation check is to be executed. Check all tables visible to the current user if not specified | No | `` |
| table_name | string | (Optional) Name of the table to be checked. Check all tables visible to the current user if not specified. | No | `` |
| data_free_threshold_bytes | integer | (Optional) Only show tables with at least this much free space in bytes. Default is 1 | No | 1 |
| limit | integer | (Optional) Max rows to return, default is 10 | No | 10 |
Display table statistics including table size, total latency, rows read, rows written, read and write latency for entire instance, a specified database, or a specified table. Specifying a database name or table name filters the output to that specific db or table. Results are limited to 10 by default.
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| table_schema | string | (Optional) The database where statistics is to be executed. Check all tables visible to the current user if not specified | No | `` |
| table_name | string | (Optional) Name of the table to be checked. Check all tables visible to the current user if not specified. | No | `` |
| sort_by | string | (Optional) The column to sort by | No | `` |
| limit | integer | (Optional) Max rows to return, default is 10 | No | 10 |
| connected_schema | string | (Optional) The connected db | No |
Find tables that do not have primary or unique key constraint. A primary key or unique key is the only mechanism that guaranttes a row is unique. Without them, the database-level protection against data integrity issues will be missing.
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| table_schema | string | (Optional) The database where the check is to be performed. Check all tables visible to the current user if not specified | No | `` |
| limit | integer | (Optional) Max rows to return, default is 50 | No | 50 |