mirror of
https://github.com/googleapis/genai-toolbox.git
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feat(observability): add cloud sql observability tools (#1425)
## Description --- > This PR introduces a new observability prebuilt configs that allows fetching system and query level metrics from the Cloud Monitoring API for CloudSQL PG, MySQL and SQLServer. > > The key changes include: > - 3 new configs using the cloud-monitoring-query-prometheus tool and source cloud-monitoring > - Manual testing is also done by locally running the server/tools and integrating with Gemini CLI ## Followup Changes --- > - Documentation around the tools. ## PR Checklist --- > Thank you for opening a Pull Request! Before submitting your PR, there are a > few things you can do to make sure it goes smoothly: - [x] Make sure you reviewed CONTRIBUTING.md (https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md) - [x] Make sure to open an issue as a bug/issue (https://github.com/googleapis/langchain-google-alloydb-pg-python/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [x] Ensure the tests and linter pass - [x] Code coverage does not decrease (if any source code was changed) - [] Appropriate docs were updated (if necessary) - [ ] Make sure to add ! if this involve a breaking change --------- Co-authored-by: prernakakkar-google <158031829+prernakakkar-google@users.noreply.github.com>
This commit is contained in:
Manu Paliwal
@@ -26,8 +26,11 @@ var expectedToolSources = []string{
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"alloydb-postgres",
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"bigquery",
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"clickhouse",
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"cloud-sql-mssql-observability",
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"cloud-sql-mssql",
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"cloud-sql-mysql-observability",
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"cloud-sql-mysql",
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"cloud-sql-postgres-observability",
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"cloud-sql-postgres",
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"dataplex",
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"firestore",
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@@ -90,8 +93,11 @@ func TestGetPrebuiltTool(t *testing.T) {
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alloydb_config, _ := Get("alloydb-postgres")
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bigquery_config, _ := Get("bigquery")
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clickhouse_config, _ := Get("clickhouse")
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cloudsqlpg_observability_config, _ := Get("cloud-sql-postgres-observability")
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cloudsqlpg_config, _ := Get("cloud-sql-postgres")
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cloudsqlmysql_observability_config, _ := Get("cloud-sql-mysql-observability")
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cloudsqlmysql_config, _ := Get("cloud-sql-mysql")
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cloudsqlmssql_observability_config, _ := Get("cloud-sql-mssql-observability")
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cloudsqlmssql_config, _ := Get("cloud-sql-mssql")
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dataplex_config, _ := Get("dataplex")
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firestoreconfig, _ := Get("firestore")
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@@ -117,12 +123,21 @@ func TestGetPrebuiltTool(t *testing.T) {
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if len(clickhouse_config) <= 0 {
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t.Fatalf("unexpected error: could not fetch clickhouse prebuilt tools yaml")
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}
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if len(cloudsqlpg_observability_config) <= 0 {
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t.Fatalf("unexpected error: could not fetch cloud sql pg observability prebuilt tools yaml")
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}
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if len(cloudsqlpg_config) <= 0 {
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t.Fatalf("unexpected error: could not fetch cloud sql pg prebuilt tools yaml")
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}
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if len(cloudsqlmysql_observability_config) <= 0 {
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t.Fatalf("unexpected error: could not fetch cloud sql mysql observability prebuilt tools yaml")
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}
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if len(cloudsqlmysql_config) <= 0 {
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t.Fatalf("unexpected error: could not fetch cloud sql mysql prebuilt tools yaml")
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}
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if len(cloudsqlmssql_observability_config) <= 0 {
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t.Fatalf("unexpected error: could not fetch cloud sql mssql observability prebuilt tools yaml")
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}
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if len(cloudsqlmssql_config) <= 0 {
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t.Fatalf("unexpected error: could not fetch cloud sql mssql prebuilt tools yaml")
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}
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@@ -0,0 +1,76 @@
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# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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sources:
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cloud-monitoring-source:
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kind: cloud-monitoring
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tools:
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get_system_metrics:
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kind: cloud-monitoring-query-prometheus
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source: cloud-monitoring-source
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description: |
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Fetches system level cloudmonitoring data (timeseries metrics) for a SqlServer instance using a PromQL query. Take projectId and instanceId from the user for which the metrics timeseries data needs to be fetched.
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To use this tool, you must provide the Google Cloud `projectId` and a PromQL `query`.
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Generate PromQL `query` for SqlServer system metrics. Use the provided metrics and rules to construct queries, Get the labels like `instance_id` from user intent.
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Defaults:
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1. Interval: Use a default interval of `5m` for `_over_time` aggregation functions unless a different window is specified by the user.
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PromQL Query Examples:
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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])`
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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]))`
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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]))`
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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]))`
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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]))`
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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]))`
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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]))`
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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]))`
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Available Metrics List: metricname. description. monitored resource. labels. database_id is actually the instance id and the format is `project_id:instance_id`.
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1. `cloudsql.googleapis.com/database/cpu/utilization`: Current CPU utilization as a percentage of the reserved CPU. `cloudsql_database`. `database`, `project_id`, `database_id`.
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2. `cloudsql.googleapis.com/database/memory/usage`: RAM usage in bytes, excluding buffer/cache. `cloudsql_database`. `database`, `project_id`, `database_id`.
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3. `cloudsql.googleapis.com/database/memory/total_usage`: Total RAM usage in bytes, including buffer/cache. `cloudsql_database`. `database`, `project_id`, `database_id`.
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4. `cloudsql.googleapis.com/database/disk/bytes_used`: Data utilization in bytes. `cloudsql_database`. `database`, `project_id`, `database_id`.
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5. `cloudsql.googleapis.com/database/disk/quota`: Maximum data disk size in bytes. `cloudsql_database`. `database`, `project_id`, `database_id`.
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6. `cloudsql.googleapis.com/database/disk/read_ops_count`: Delta count of data disk read IO operations. `cloudsql_database`. `database`, `project_id`, `database_id`.
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7. `cloudsql.googleapis.com/database/disk/write_ops_count`: Delta count of data disk write IO operations. `cloudsql_database`. `database`, `project_id`, `database_id`.
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8. `cloudsql.googleapis.com/database/network/received_bytes_count`: Delta count of bytes received through the network. `cloudsql_database`. `database`, `project_id`, `database_id`.
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9. `cloudsql.googleapis.com/database/network/sent_bytes_count`: Delta count of bytes sent through the network. `cloudsql_database`. `destination`, `database`, `project_id`, `database_id`.
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10. `cloudsql.googleapis.com/database/sqlserver/memory/buffer_cache_hit_ratio`: Current percentage of pages found in the buffer cache without reading from disk. `cloudsql_database`. `database`, `project_id`, `database_id`.
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11. `cloudsql.googleapis.com/database/sqlserver/memory/memory_grants_pending`: Current number of processes waiting for a workspace memory grant. `cloudsql_database`. `database`, `project_id`, `database_id`.
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12. `cloudsql.googleapis.com/database/sqlserver/memory/free_list_stall_count`: Total number of requests that waited for a free page. `cloudsql_database`. `database`, `project_id`, `database_id`.
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13. `cloudsql.googleapis.com/database/swap/pages_swapped_in_count`: Total count of pages swapped in from disk since the system was booted. `cloudsql_database`. `database`, `project_id`, `database_id`.
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14. `cloudsql.googleapis.com/database/swap/pages_swapped_out_count`: Total count of pages swapped out to disk since the system was booted. `cloudsql_database`. `database`, `project_id`, `database_id`.
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15. `cloudsql.googleapis.com/database/sqlserver/memory/checkpoint_page_count`: Total number of pages flushed to disk by a checkpoint. `cloudsql_database`. `database`, `project_id`, `database_id`.
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16. `cloudsql.googleapis.com/database/sqlserver/memory/lazy_write_count`: Total number of buffers written by the buffer manager's lazy writer. `cloudsql_database`. `database`, `project_id`, `database_id`.
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17. `cloudsql.googleapis.com/database/sqlserver/memory/page_life_expectancy`: Current number of seconds a page will stay in the buffer pool. `cloudsql_database`. `database`, `project_id`, `database_id`.
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18. `cloudsql.googleapis.com/database/sqlserver/memory/page_operation_count`: Total number of physical database page reads or writes. `cloudsql_database`. `operation`, `database`, `project_id`, `database_id`.
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19. `cloudsql.googleapis.com/database/sqlserver/transactions/page_split_count`: Total number of page splits from overflowing index pages. `cloudsql_database`. `database`, `project_id`, `database_id`.
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20. `cloudsql.googleapis.com/database/sqlserver/transactions/deadlock_count`: Total number of lock requests that resulted in a deadlock. `cloudsql_database`. `locked_resource`, `database`, `project_id`, `database_id`.
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21. `cloudsql.googleapis.com/database/sqlserver/transactions/transaction_count`: Total number of transactions started. `cloudsql_database`. `database`, `project_id`, `database_id`.
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22. `cloudsql.googleapis.com/database/sqlserver/transactions/batch_request_count`: Total number of Transact-SQL command batches received. `cloudsql_database`. `database`, `project_id`, `database_id`.
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23. `cloudsql.googleapis.com/database/sqlserver/transactions/sql_compilation_count`: Total number of SQL compilations. `cloudsql_database`. `database`, `project_id`, `database_id`.
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24. `cloudsql.googleapis.com/database/sqlserver/transactions/sql_recompilation_count`: Total number of SQL recompilations. `cloudsql_database`. `database`, `project_id`, `database_id`.
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25. `cloudsql.googleapis.com/database/sqlserver/connections/processes_blocked`: Current number of blocked processes. `cloudsql_database`. `database`, `project_id`, `database_id`.
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26. `cloudsql.googleapis.com/database/sqlserver/transactions/lock_wait_time`: Total time lock requests were waiting for locks. `cloudsql_database`. `locked_resource`, `database`, `project_id`, `database_id`.
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27. `cloudsql.googleapis.com/database/sqlserver/transactions/lock_wait_count`: Total number of lock requests that required the caller to wait. `cloudsql_database`. `locked_resource`, `database`, `project_id`, `database_id`.
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28. `cloudsql.googleapis.com/database/network/connections`: Number of connections to databases on the instance. `cloudsql_database`. `database`, `project_id`, `database_id`.
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29. `cloudsql.googleapis.com/database/sqlserver/connections/login_attempt_count`: Total number of login attempts since the last server restart. `cloudsql_database`. `database`, `project_id`, `database_id`.
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30. `cloudsql.googleapis.com/database/sqlserver/connections/logout_count`: Total number of logout operations since the last server restart. `cloudsql_database`. `database`, `project_id`, `database_id`.
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31. `cloudsql.googleapis.com/database/sqlserver/connections/connection_reset_count`: Total number of logins started from the connection pool since the last server restart. `cloudsql_database`. `database`, `project_id`, `database_id`.
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32. `cloudsql.googleapis.com/database/sqlserver/transactions/full_scan_count`: Total number of unrestricted full scans (base-table or full-index). `cloudsql_database`. `database`, `project_id`, `database_id`.
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toolsets:
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cloud-sql-mssql-cloud-monitoring-tools:
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- get_system_metrics
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@@ -0,0 +1,111 @@
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# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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sources:
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cloud-monitoring-source:
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kind: cloud-monitoring
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tools:
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get_system_metrics:
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kind: cloud-monitoring-query-prometheus
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source: cloud-monitoring-source
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description: |
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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.
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To use this tool, you must provide the Google Cloud `projectId` and a PromQL `query`.
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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.
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Defaults:
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1. Interval: Use a default interval of `5m` for `_over_time` aggregation functions unless a different window is specified by the user.
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PromQL Query Examples:
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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])`
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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]))`
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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]))`
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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]))`
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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]))`
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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]))`
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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]))`
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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]))`
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Available Metrics List: metricname. description. monitored resource. labels. database_id is actually the instance id and the format is `project_id:instance_id`.
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1. `cloudsql.googleapis.com/database/cpu/utilization`: Current CPU utilization as a percentage of reserved CPU. `cloudsql_database`. `database`, `project_id`, `database_id`.
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2. `cloudsql.googleapis.com/database/network/connections`: Number of connections to the database instance. `cloudsql_database`. `database`, `project_id`, `database_id`.
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3. `cloudsql.googleapis.com/database/network/received_bytes_count`: Delta count of bytes received through the network. `cloudsql_database`. `database`, `project_id`, `database_id`.
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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`.
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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`.
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6. `cloudsql.googleapis.com/database/disk/bytes_used_by_data_type`: Data utilization in bytes. `cloudsql_database`. `data_type`, `database`, `project_id`, `database_id`.
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7. `cloudsql.googleapis.com/database/disk/read_ops_count`: Delta count of data disk read IO operations. `cloudsql_database`. `database`, `project_id`, `database_id`.
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8. `cloudsql.googleapis.com/database/disk/write_ops_count`: Delta count of data disk write IO operations. `cloudsql_database`. `database`, `project_id`, `database_id`.
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9. `cloudsql.googleapis.com/database/mysql/queries`: Delta count of statements executed by the server. `cloudsql_database`. `database`, `project_id`, `database_id`.
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10. `cloudsql.googleapis.com/database/mysql/questions`: Delta count of statements sent by the client. `cloudsql_database`. `database`, `project_id`, `database_id`.
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11. `cloudsql.googleapis.com/database/mysql/received_bytes_count`: Delta count of bytes received by MySQL process. `cloudsql_database`. `database`, `project_id`, `database_id`.
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12. `cloudsql.googleapis.com/database/mysql/sent_bytes_count`: Delta count of bytes sent by MySQL process. `cloudsql_database`. `database`, `project_id`, `database_id`.
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13. `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`.
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14. `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`.
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15. `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`.
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16. `cloudsql.googleapis.com/database/mysql/innodb_data_fsyncs`: Delta count of InnoDB fsync() calls. `cloudsql_database`. `database`, `project_id`, `database_id`.
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17. `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`.
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18. `cloudsql.googleapis.com/database/mysql/innodb_pages_read`: Delta count of InnoDB pages read. `cloudsql_database`. `database`, `project_id`, `database_id`.
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19. `cloudsql.googleapis.com/database/mysql/innodb_pages_written`: Delta count of InnoDB pages written. `cloudsql_database`. `database`, `project_id`, `database_id`.
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20. `cloudsql.googleapis.com/database/mysql/open_tables`: The number of tables that are currently open. `cloudsql_database`. `database`, `project_id`, `database_id`.
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21. `cloudsql.googleapis.com/database/mysql/opened_table_count`: The number of tables opened since the last sample. `cloudsql_database`. `database`, `project_id`, `database_id`.
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22. `cloudsql.googleapis.com/database/mysql/open_table_definitions`: The number of table definitions currently cached. `cloudsql_database`. `database`, `project_id`, `database_id`.
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23. `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`.
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24. `cloudsql.googleapis.com/database/mysql/innodb/dictionary_memory`: Memory allocated for the InnoDB dictionary cache. `cloudsql_database`. `database`, `project_id`, `database_id`.
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get_query_metrics:
|
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kind: cloud-monitoring-query-prometheus
|
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source: cloud-monitoring-source
|
||||
description: |
|
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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 tool, 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.
|
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|
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Defaults:
|
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1. Interval: Use a default interval of `5m` for `_over_time` aggregation functions unless a different window is specified by the user.
|
||||
|
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PromQL Query Examples:
|
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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])`
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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`, `route`, `tag_hash`, `row_status`, `database`, `project_id`, `resource_id`.
|
||||
|
||||
toolsets:
|
||||
cloud-sql-mysql-cloud-monitoring-tools:
|
||||
- get_system_metrics
|
||||
- get_query_metrics
|
||||
@@ -0,0 +1,113 @@
|
||||
# Copyright 2025 Google LLC
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
sources:
|
||||
cloud-monitoring-source:
|
||||
kind: cloud-monitoring
|
||||
tools:
|
||||
get_system_metrics:
|
||||
kind: cloud-monitoring-query-prometheus
|
||||
source: cloud-monitoring-source
|
||||
description: |
|
||||
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:
|
||||
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/postgresql/new_connection_count`: Count of new connections added to the postgres instance. `cloudsql_database`. `database`, `project_id`, `database_id`.
|
||||
2. `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`.
|
||||
3. `cloudsql.googleapis.com/database/postgresql/transaction_count`: Delta count of number of transactions. `cloudsql_database`. `database`, `transaction_type`, `project_id`, `database_id`.
|
||||
4. `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`.
|
||||
5. `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`.
|
||||
6. `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`.
|
||||
7. `cloudsql.googleapis.com/database/disk/bytes_used_by_data_type`: Data utilization in bytes. `cloudsql_database`. `data_type`, `project_id`, `database_id`.
|
||||
8. `cloudsql.googleapis.com/database/disk/read_ops_count`: Delta count of data disk read IO operations. `cloudsql_database`. `project_id`, `database_id`.
|
||||
9. `cloudsql.googleapis.com/database/disk/write_ops_count`: Delta count of data disk write IO operations. `cloudsql_database`. `project_id`, `database_id`.
|
||||
10. `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`.
|
||||
11. `cloudsql.googleapis.com/database/postgresql/num_backends`: Number of connections to the Cloud SQL PostgreSQL instance. `cloudsql_database`. `database`, `project_id`, `database_id`.
|
||||
12. `cloudsql.googleapis.com/database/network/received_bytes_count`: Delta count of bytes received through the network. `cloudsql_database`. `project_id`, `database_id`.
|
||||
13. `cloudsql.googleapis.com/database/network/sent_bytes_count`: Delta count of bytes sent through the network. `cloudsql_database`. `destination`, `project_id`, `database_id`.
|
||||
14. `cloudsql.googleapis.com/database/postgresql/deadlock_count`: Number of deadlocks detected for this database. `cloudsql_database`. `database`, `project_id`, `database_id`.
|
||||
15. `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`.
|
||||
16. `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`.
|
||||
17. `cloudsql.googleapis.com/database/postgresql/tuple_size`: Number of tuples (rows) in the database. `cloudsql_database`. `database`, `tuple_state`, `project_id`, `database_id`.
|
||||
18. `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`.
|
||||
19. `cloudsql.googleapis.com/database/replication/log_archive_success_count`: Number of successful attempts for archiving replication log files. `cloudsql_database`. `project_id`, `database_id`.
|
||||
20. `cloudsql.googleapis.com/database/replication/log_archive_failure_count`: Number of failed attempts for archiving replication log files. `cloudsql_database`. `project_id`, `database_id`.
|
||||
21. `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`.
|
||||
22. `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`.
|
||||
23. `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`.
|
||||
24. `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`.
|
||||
25. `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`.
|
||||
26. `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`.
|
||||
|
||||
get_query_metrics:
|
||||
kind: cloud-monitoring-query-prometheus
|
||||
source: cloud-monitoring-source
|
||||
description: |
|
||||
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/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`.
|
||||
18. `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`.
|
||||
|
||||
toolsets:
|
||||
cloud-sql-postgres-cloud-monitoring-tools:
|
||||
- get_system_metrics
|
||||
- get_query_metrics
|
||||
Reference in New Issue
Block a user