cloud-sql-postgres-health

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 Postgres 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 tool, you must provide the Google Cloud `projectId` and a PromQL `query`.

Generate PromQL `query` for Postgres 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__"="cloudsql.googleapis.com/database/postgresql/insights/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__"="cloudsql.googleapis.com/database/postgresql/insights/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__"="cloudsql.googleapis.com/database/postgresql/insights/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__"="cloudsql.googleapis.com/database/postgresql/insights/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__"="cloudsql.googleapis.com/database/postgresql/insights/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__"="cloudsql.googleapis.com/database/postgresql/insights/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__"="cloudsql.googleapis.com/database/postgresql/insights/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__"="cloudsql.googleapis.com/database/postgresql/insights/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. `cloudsql.googleapis.com/database/postgresql/insights/aggregate/latencies`: Aggregated query latency distribution. `cloudsql_instance_database`. `user`, `client_addr`, `project_id`, `resource_id`.
2. `cloudsql.googleapis.com/database/postgresql/insights/aggregate/execution_time`: Accumulated aggregated query execution time since the last sample. `cloudsql_instance_database`. `user`, `client_addr`, `project_id`, `resource_id`.
3. `cloudsql.googleapis.com/database/postgresql/insights/aggregate/io_time`: Accumulated aggregated IO time since the last sample. `cloudsql_instance_database`. `user`, `client_addr`, `io_type`, `project_id`, `resource_id`.
4. `cloudsql.googleapis.com/database/postgresql/insights/aggregate/lock_time`: Accumulated aggregated lock wait time since the last sample. `cloudsql_instance_database`. `user`, `client_addr`, `lock_type`, `project_id`, `resource_id`.
5. `cloudsql.googleapis.com/database/postgresql/insights/aggregate/row_count`: Aggregated number of retrieved or affected rows since the last sample. `cloudsql_instance_database`. `user`, `client_addr`, `project_id`, `resource_id`.
6. `cloudsql.googleapis.com/database/postgresql/insights/aggregate/shared_blk_access_count`: Aggregated shared blocks accessed by statement execution. `cloudsql_instance_database`. `user`, `client_addr`, `access_type`, `project_id`, `resource_id`.
7. `cloudsql.googleapis.com/database/postgresql/insights/perquery/latencies`: Per query latency distribution. `cloudsql_instance_database`. `user`, `client_addr`, `querystring`, `query_hash`, `project_id`, `resource_id`.
8. `cloudsql.googleapis.com/database/postgresql/insights/perquery/execution_time`: Accumulated execution times per user per database per query. `cloudsql_instance_database`. `user`, `client_addr`, `querystring`, `query_hash`, `project_id`, `resource_id`.
9. `cloudsql.googleapis.com/database/postgresql/insights/perquery/io_time`: Accumulated IO time since the last sample per query. `cloudsql_instance_database`. `user`, `client_addr`, `io_type`, `querystring`, `query_hash`, `project_id`, `resource_id`.
10. `cloudsql.googleapis.com/database/postgresql/insights/perquery/lock_time`: Accumulated lock wait time since the last sample per query. `cloudsql_instance_database`. `user`, `client_addr`, `lock_type`, `querystring`, `query_hash`, `project_id`, `resource_id`.
11. `cloudsql.googleapis.com/database/postgresql/insights/perquery/row_count`: The number of retrieved or affected rows since the last sample per query. `cloudsql_instance_database`. `user`, `client_addr`, `querystring`, `query_hash`, `project_id`, `resource_id`.
12. `cloudsql.googleapis.com/database/postgresql/insights/perquery/shared_blk_access_count`: Shared blocks accessed by statement execution per query. `cloudsql_instance_database`. `user`, `client_addr`, `access_type`, `querystring`, `query_hash`, `project_id`, `resource_id`.
13. `cloudsql.googleapis.com/database/postgresql/insights/pertag/latencies`: Query latency distribution. `cloudsql_instance_database`. `user`, `client_addr`, `action`, `application`, `controller`, `db_driver`, `framework`, `route`, `tag_hash`, `project_id`, `resource_id`.
14. `cloudsql.googleapis.com/database/postgresql/insights/pertag/execution_time`: Accumulated execution times since the last sample. `cloudsql_instance_database`. `user`, `client_addr`, `action`, `application`, `controller`, `db_driver`, `framework`, `route`, `tag_hash`, `project_id`, `resource_id`.
15. `cloudsql.googleapis.com/database/postgresql/insights/pertag/io_time`: Accumulated IO time since the last sample per tag. `cloudsql_instance_database`. `user`, `client_addr`, `action`, `application`, `controller`, `db_driver`, `framework`, `route`, `io_type`, `tag_hash`, `project_id`, `resource_id`.
16. `cloudsql.googleapis.com/database/postgresql/insights/pertag/lock_time`: Accumulated lock wait time since the last sample per tag. `cloudsql_instance_database`. `user`, `client_addr`, `action`, `application`, `controller`, `db_driver`, `framework`, `route`, `lock_type`, `tag_hash`, `project_id`, `resource_id`.
17. `cloudsql.googleapis.com/database/postgresql/insi