cloud-sql-mysql-monitor

What this skill does

## 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`, `project_id`, `resource_id`.
8. `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`.
9. `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`.
10. `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`.
11. `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`.
12. `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`.
13. `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`.
14. `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`.
15. `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`.
16. `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`.
17. `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`.
18. `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`, `r