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Google Cloud Spanner is the first and only relational database service that is both strongly consistent and horizontally scalable.
Get metrics from Google Spanner to:
If you haven’t already, set up the Google Cloud Platform integration first. There are no other installation steps.
Google Cloud Spanner logs are collected with Google Cloud Logging and sent to a Dataflow job through a Cloud Pub/Sub topic. If you haven’t already, set up logging with the Datadog Dataflow template.
Once this is done, export your Google Cloud Spanner logs from Google Cloud Logging to the Pub/Sub topic:
Go to the Google Cloud Logging page and filter Google Cloud Spanner logs.
Click Create Sink and name the sink accordingly.
Choose “Cloud Pub/Sub” as the destination and select the Pub/Sub topic that was created for that purpose. Note: The Pub/Sub topic can be located in a different project.
Click Create and wait for the confirmation message to show up.
gcp.spanner.api.received_bytes_count (count) | Uncompressed request bytes received by Cloud Spanner. Shown as byte |
gcp.spanner.api.sent_bytes_count (count) | Uncompressed response bytes sent by Cloud Spanner. Shown as byte |
gcp.spanner.api.api_request_count (count) | Cloud Spanner API requests. Shown as second |
gcp.spanner.api.request_count (rate) | Rate of Cloud Spanner API requests. Shown as request |
gcp.spanner.api.request_latencies.avg (gauge) | Average server request latencies for a database. Shown as second |
gcp.spanner.api.request_latencies.samplecount (gauge) | Sample count of server request latencies for a database. Shown as second |
gcp.spanner.api.request_latencies.sumsqdev (gauge) | Sum of Squared Deviation of server request latencies for a database. Shown as second |
gcp.spanner.api.request_latencies_by_transaction_type (count) | Distribution of server request latencies by transaction types. Shown as second |
gcp.spanner.instance.cpu.utilization (gauge) | Utilization of provisioned CPU, between 0 and 1. Shown as fraction |
gcp.spanner.instance.cpu.smoothed_utilization (gauge) | 24-hour smoothed utilization of provisioned CPU between 0.0 and 1.0. Shown as fraction |
gcp.spanner.instance.cpu.utilization_by_operation_type (gauge) | Percent utilization of provisioned CPU, by operation type between 0.0 and 1.0. Shown as fraction |
gcp.spanner.instance.cpu.utilization_by_priority (gauge) | Percent utilization of provisioned CPU, by priority between 0.0 and 1.0. Shown as fraction |
gcp.spanner.instance.node_count (gauge) | Total number of nodes. Shown as node |
gcp.spanner.instance.session_count (gauge) | Number of sessions in use. Shown as session |
gcp.spanner.instance.storage.used_bytes (gauge) | Storage used in bytes. Shown as byte |
gcp.spanner.instance.storage.limit_bytes (gauge) | Storage limit for instance in bytes Shown as byte |
gcp.spanner.instance.storage.limit_bytes_per_processing_unit (gauge) | Storage limit per processing unit in bytes. Shown as byte |
gcp.spanner.instance.storage.utilization (gauge) | Storage used as a fraction of storage limit. Shown as fraction |
gcp.spanner.instance.backup.used_bytes (gauge) | Backup storage used in bytes. Shown as byte |
gcp.spanner.instance.leader_percentage_by_region (gauge) | Percentage of leaders by cloud region between 0.0 and 1.0. Shown as fraction |
gcp.spanner.instance.processing_units (gauge) | Total number of processing units. |
gcp.spanner.lock_stat.total.lock_wait_time (count) | Total lock wait time for lock conflicts recorded for the entire database. Shown as second |
gcp.spanner.query_count (count) | Count of queries by database name, status, query type, and used optimizer version. Shown as query |
gcp.spanner.query_stat.total.bytes_returned_count (count) | Number of data bytes that the queries returned Shown as byte |
gcp.spanner.query_stat.total.cpu_time (count) | Number of seconds of CPU time Cloud Spanner spent on operations to execute the queries. Shown as second |
gcp.spanner.query_stat.total.execution_count (count) | Number of times Cloud Spanner saw queries during the interval. Shown as query |
gcp.spanner.query_stat.total.failed_execution_count (count) | Number of times queries failed during the interval. Shown as query |
gcp.spanner.query_stat.total.query_latencies (gauge) | Distribution of total length of time, in seconds, for query executions within the database. Shown as second |
gcp.spanner.query_stat.total.returned_rows_count (count) | Number of rows that the queries returned. Shown as row |
gcp.spanner.query_stat.total.scanned_rows_count (count) | Number of rows that the queries scanned excluding deleted values. Shown as row |
gcp.spanner.read_stat.total.bytes_returned_count (count) | Total number of data bytes that the reads returned excluding transmission encoding overhead. Shown as byte |
gcp.spanner.read_stat.total.client_wait_time (count) | Number of seconds spent waiting due to throttling. Shown as second |
gcp.spanner.read_stat.total.cpu_time (count) | Number of seconds of CPU time Cloud Spanner spent execute the reads excluding prefetch CPU and other overhead. Shown as second |
gcp.spanner.read_stat.total.execution_count (count) | Number of times Cloud Spanner executed the read shapesduring the interval. |
gcp.spanner.read_stat.total.leader_refresh_delay (count) | Number of seconds spent coordinating reads across instances in multi-regionconfigurations. Shown as second |
gcp.spanner.read_stat.total.locking_delays (gauge) | Distribution of total time in seconds spent waiting due to locking. Shown as second |
gcp.spanner.read_stat.total.returned_rows_count (count) | Number of rows that the read returned. Shown as row |
gcp.spanner.row_deletion_policy.deleted_rows_count (count) | Count of rows deleted by the policy since the last sample. Shown as row |
gcp.spanner.row_deletion_policy.processed_watermark_age (gauge) | Time between now and the read timestamp of the last successful execution. Shown as second |
gcp.spanner.row_deletion_policy.undeletable_rows (count) | Number of rows in all tables in the database that can't be deleted. Shown as row |
gcp.spanner.transaction_stat.total.bytes_written_count (count) | Number of bytes written by transactions. Shown as byte |
gcp.spanner.transaction_stat.total.commit_attempt_count (count) | Number of commit attempts for transactions. |
gcp.spanner.transaction_stat.total.commit_retry_count (count) | Number of commit attempts that are retries from previously aborted transaction attempts. |
gcp.spanner.transaction_stat.total.participants (gauge) | Distribution of total number of participants in each commit attempt. |
gcp.spanner.transaction_stat.total.transaction_latencies (gauge) | Distribution of total seconds takenfrom the first operation of the transaction to commit or abort. Shown as second |
The Google Cloud Spanner integration does not include any events.
The Google Cloud Spanner integration does not include any service checks.
Need help? Contact Datadog support.