From dak
Fetches Cloud Monitoring metrics for Cloud SQL PostgreSQL instances using PromQL queries. Helps troubleshoot performance bottlenecks and analyze query execution plans.
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All scripts can be executed using Node.js. Replace <param_name> and
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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:
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/postgresql/insights/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__"="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]))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]))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]))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]))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]))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]))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.
cloudsql.googleapis.com/database/postgresql/insights/aggregate/latencies:
Aggregated query latency distribution. cloudsql_instance_database. user,
client_addr, project_id, resource_id.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.cloudsql.googleapis.com/database/postgresql/insights/pertag/shared_blk_access_count:
Shared blocks accessed by statement execution per tag.
cloudsql_instance_database. user, client_addr, action,
application, controller, db_driver, framework, route,
access_type, tag_hash, project_id, resource_id.cloudsql.googleapis.com/database/postgresql/insights/pertag/row_count: The
number of retrieved or affected rows since the last sample per tag.
cloudsql_instance_database. user, client_addr, action,
application, controller, db_driver, framework, route, tag_hash,
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 |
Generate a PostgreSQL EXPLAIN plan in JSON format for a single SQL statement—without executing it. This returns the optimizer's estimated plan, costs, and rows (no ANALYZE, no extra options). Use in production safely for plan inspection, regression checks, and query tuning workflows.
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| query | string | The SQL statement for which you want | Yes | |
| : : : to generate plan (omit the EXPLAIN : : : | ||||
| : : : keyword). : : : |
Fetches system level cloudmonitoring data (timeseries metrics) for a 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 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/postgresql/new_connection_count: Count of
new connections added to the postgres instance. cloudsql_database.
database, project_id, database_id.cloudsql.googleapis.com/database/postgresql/backends_in_wait: Number of
backends in wait in postgres instance. cloudsql_database. backend_type,
wait_event, wait_event_type, project_id, database_id.cloudsql.googleapis.com/database/postgresql/transaction_count: Delta count
of number of transactions. cloudsql_database. database,
transaction_type, project_id, database_id.cloudsql.googleapis.com/database/memory/components: Memory stats
components in percentage as usage, cache and free memory for the database.
cloudsql_database. component, project_id, database_id.cloudsql.googleapis.com/database/postgresql/external_sync/max_replica_byte_lag:
Replication lag in bytes for Postgres External Server (ES) replicas.
Aggregated across all DBs on the replica. cloudsql_database. project_id,
database_id.cloudsql.googleapis.com/database/cpu/utilization: Current CPU utilization
represented as a percentage of the reserved CPU that is currently in use.
Values are typically numbers between 0.0 and 1.0 (but might exceed 1.0).
Charts display the values as a percentage between 0% and 100% (or more).
cloudsql_database. project_id, database_id.cloudsql.googleapis.com/database/disk/bytes_used_by_data_type: Data
utilization in bytes. cloudsql_database. data_type, project_id,
database_id.cloudsql.googleapis.com/database/disk/read_ops_count: Delta count of data
disk read IO operations. cloudsql_database. project_id, database_id.cloudsql.googleapis.com/database/disk/write_ops_count: Delta count of data
disk write IO operations. cloudsql_database. project_id, database_id.cloudsql.googleapis.com/database/postgresql/num_backends_by_state: Number
of connections to the Cloud SQL PostgreSQL instance, grouped by its state.
cloudsql_database. database, state, project_id, database_id.cloudsql.googleapis.com/database/postgresql/num_backends: Number of
connections to the Cloud SQL PostgreSQL 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. project_id,
database_id.cloudsql.googleapis.com/database/network/sent_bytes_count: Delta count of
bytes sent through the network. cloudsql_database. destination,
project_id, database_id.cloudsql.googleapis.com/database/postgresql/deadlock_count: Number of
deadlocks detected for this database. cloudsql_database. database,
project_id, database_id.cloudsql.googleapis.com/database/postgresql/blocks_read_count: Number of
disk blocks read by this database. The source field distingushes actual
reads from disk versus reads from buffer cache. cloudsql_database.
database, source, project_id, database_id.cloudsql.googleapis.com/database/postgresql/tuples_processed_count: Number
of tuples(rows) processed for a given database for operations like insert,
update or delete. cloudsql_database. operation_type, database,
project_id, database_id.cloudsql.googleapis.com/database/postgresql/tuple_size: Number of tuples
(rows) in the database. cloudsql_database. database, tuple_state,
project_id, database_id.cloudsql.googleapis.com/database/postgresql/vacuum/oldest_transaction_age:
Age of the oldest transaction yet to be vacuumed in the Cloud SQL PostgreSQL
instance, measured in number of transactions that have happened since the
oldest transaction. cloudsql_database. oldest_transaction_type,
project_id, database_id.cloudsql.googleapis.com/database/replication/log_archive_success_count:
Number of successful attempts for archiving replication log files.
cloudsql_database. project_id, database_id.cloudsql.googleapis.com/database/replication/log_archive_failure_count:
Number of failed attempts for archiving replication log files.
cloudsql_database. project_id, database_id.cloudsql.googleapis.com/database/postgresql/transaction_id_utilization:
Current utilization represented as a percentage of transaction IDs consumed
by the Cloud SQL PostgreSQL instance. Values are typically numbers between
0.0 and 1.0. Charts display the values as a percentage between 0% and 100% .
cloudsql_database. project_id, database_id.cloudsql.googleapis.com/database/postgresql/num_backends_by_application:
Number of connections to the Cloud SQL PostgreSQL instance, grouped by
applications. cloudsql_database. application, project_id,
database_id.cloudsql.googleapis.com/database/postgresql/tuples_fetched_count: Total
number of rows fetched as a result of queries per database in the PostgreSQL
instance. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/postgresql/tuples_returned_count: Total
number of rows scanned while processing the queries per database in the
PostgreSQL instance. cloudsql_database. database, project_id,
database_id.cloudsql.googleapis.com/database/postgresql/temp_bytes_written_count:
Total amount of data (in bytes) written to temporary files by the queries
per database. cloudsql_database. database, project_id, database_id.cloudsql.googleapis.com/database/postgresql/temp_files_written_count:
Total number of temporary files used for writing data while performing
algorithms such as join and sort. 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 |
List the top N (default 50) currently running queries (state='active') from pg_stat_activity, ordered by longest-running first. Returns pid, user, database, application_name, client_addr, state, wait_event_type/wait_event, backend/xact/query start times, computed query_duration, and the SQL text.
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| min_duration | string | Optional: Only | No | `1 |
| : : : show queries : : minute` : | ||||
| : : : running at : : : | ||||
| : : : least this long : : : | ||||
| : : : (e.g., '1 : : : | ||||
| : : : minute', '1 : : : | ||||
| : : : second', '2 : : : | ||||
| : : : seconds'). : : : | ||||
| exclude_application_names | string | Optional: A | No | `` |
| : : : comma-separated : : : | ||||
| : : : list of : : : | ||||
| : : : application : : : | ||||
| : : : names to : : : | ||||
| : : : exclude from : : : | ||||
| : : : the query : : : | ||||
| : : : results. This : : : | ||||
| : : : is useful for : : : | ||||
| : : : filtering out : : : | ||||
| : : : queries from : : : | ||||
| : : : specific : : : | ||||
| : : : applications : : : | ||||
| : : : (e.g., 'psql', : : : | ||||
| : : : 'pgAdmin', : : : | ||||
| : : : 'DBeaver'). The : : : | ||||
| : : : match is : : : | ||||
| : : : case-sensitive. : : : | ||||
| : : : Whitespace : : : | ||||
| : : : around commas : : : | ||||
| : : : and names is : : : | ||||
| : : : automatically : : : | ||||
| : : : handled. If : : : | ||||
| : : : this parameter : : : | ||||
| : : : is omitted, no : : : | ||||
| : : : applications : : : | ||||
| : : : are excluded. : : : | ||||
| limit | integer | Optional: The | No | 50 |
| : : : maximum number : : : | ||||
| : : : of rows to : : : | ||||
| : : : return. : : : |
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| database_name | string | Optional: A specific | No | `` |
| : : : database name pattern to : : : | ||||
| : : : search for. : : : | ||||
| include_templates | boolean | Optional: Whether to | No | false |
| : : : include template : : : | ||||
| : : : databases in the : : : | ||||
| : : : results. : : : | ||||
| database_owner | string | Optional: A specific | No | `` |
| : : : database owner name : : : | ||||
| : : : pattern to search for. : : : | ||||
| default_tablespace | string | Optional: A specific | No | `` |
| : : : default tablespace name : : : | ||||
| : : : pattern to search for. : : : | ||||
| order_by | string | Optional: The field to | No | `` |
| : : : order the results by. : : : | ||||
| : : : Valid values are 'size' : : : | ||||
| : : : and 'commit'. : : : | ||||
| limit | integer | Optional: The maximum | No | 10 |
| : : : number of rows to : : : | ||||
| : : : return. : : : |
Identifies all locks held by active processes showing the process ID, user, query text, and an aggregated list of all transactions and specific locks (relation, mode, grant status) associated with each process.
Lists performance statistics for executed queries ordered by total time, filtering by database name pattern if provided. This tool requires the pg_stat_statements extension to be installed. The tool returns the database name, query text, execution count, timing metrics (total, min, max, mean), rows affected, and buffer cache I/O statistics (hits and reads).
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| database_name | string | Optional: The database name | No | `` |
| : : : to list query stats for. : : : | ||||
| limit | integer | Optional: The maximum number | No | 50 |
| : : : of results to return. : : : | ||||
| : : : Defaults to 50. : : : |
Identifies and lists database transactions that exceed a specified time limit. For each of the long running transactions, the output contains the process id, database name, user name, application name, client address, state, connection age, transaction age, query age, last activity age, wait event type, wait event, and query string.
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| min_duration | string | Optional: Only show | No | 5 minutes |
| : : : transactions running at : : : | ||||
| : : : least this long (e.g., '1 : : : | ||||
| : : : minute', '15 minutes', '30 : : : | ||||
| : : : seconds'). : : : | ||||
| limit | integer | Optional: The maximum | No | 20 |
| : : : number of long-running : : : | ||||
| : : : transactions to return. : : : | ||||
| : : : Defaults to 20. : : : |
npx claudepluginhub gemini-cli-extensions/data-agent-kit-starter-pack --plugin dakFetches query-level metrics from Cloud SQL Postgres using PromQL to troubleshoot performance bottlenecks, analyze execution plans, identify resource-heavy processes, and monitor system metrics.
Audits Cloud SQL Postgres health: storage bloat, invalid indexes, table statistics, autovacuum config, and query metrics via PromQL.
Troubleshoots slow queries, analyzes system-level PromQL metrics, and identifies structural performance issues like table fragmentation or missing unique indexes for Cloud SQL MySQL.