cloud-sql-mysql-monitor

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.

Usage

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.

Scripts

get_query_metrics

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:

1. Interval: Use a default interval of 5m for _over_time aggregation functions unless a different window is specified by the user.

PromQL Query Examples:

1. Basic Time Series: 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])
2. Top K: 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]))
3. Mean: 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]))
4. Minimum: 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]))
5. Maximum: 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]))
6. Sum: 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]))
7. Count streams: 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]))
8. Percentile with groupby on resource_id, database: 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.

1. dbinsights.googleapis.com/aggregate/latencies: Cumulative query latency distribution per user and database. cloudsql_instance_database. user, client_addr, database, project_id, resource_id.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. dbinsights.googleapis.com/perquery/latencies: Cumulative query latency distribution per user, database, and query. cloudsql_instance_database. querystring, user, client_addr, query_hash, database, , .

Parameters

Name	Type	Description	Required	Default
projectId	string	The Id of the Google Cloud project.	Yes
query	string	The promql query to execute.	Yes

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get_query_plan

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.

Parameters

Name	Type	Description	Required	Default
sql_statement	string	The sql statement to explain.	Yes

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get_system_metrics

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:

1. Interval: Use a default interval of 5m for _over_time aggregation functions unless a different window is specified by the user.

PromQL Query Examples:

1. Basic Time Series: 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])
2. Top K: 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]))
3. Mean: 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]))
4. Minimum: 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]))
5. Maximum: 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]))
6. Sum: 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]))
7. Count streams: 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]))
8. Percentile with groupby on database_id: 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.

1. cloudsql.googleapis.com/database/cpu/utilization: Current CPU utilization as a percentage of reserved CPU. cloudsql_database. database, project_id, database_id.
2. cloudsql.googleapis.com/database/network/connections: Number of connections to the database instance. cloudsql_database. database, project_id, database_id.
3. cloudsql.googleapis.com/database/network/received_bytes_count: Delta count of bytes received through the network. cloudsql_database. database, project_id, database_id.
4. cloudsql.googleapis.com/database/network/sent_bytes_count: Delta count of bytes sent through the network. cloudsql_database. destination, database, project_id, database_id.
5. cloudsql.googleapis.com/database/memory/components: Memory usage for components like usage, cache, and free memory. cloudsql_database. component, database, project_id, database_id.
6. cloudsql.googleapis.com/database/disk/bytes_used_by_data_type: Data utilization in bytes. cloudsql_database. data_type, database, project_id, database_id.
7. cloudsql.googleapis.com/database/disk/read_ops_count: Delta count of data disk read IO operations. cloudsql_database. database, project_id, database_id.
8. cloudsql.googleapis.com/database/disk/write_ops_count: Delta count of data disk write IO operations. cloudsql_database. database, project_id, database_id.
9. cloudsql.googleapis.com/database/mysql/queries: Delta count of statements executed by the server. cloudsql_database. database, project_id, .

Parameters

Name	Type	Description	Required	Default
projectId	string	The Id of the Google Cloud project.	Yes
query	string	The promql query to execute.	Yes

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list_active_queries

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.

Parameters

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

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list_table_fragmentation

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.

Parameters

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

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list_table_stats

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.

Parameters

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

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list_tables_missing_unique_indexes

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.

Parameters

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

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