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Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon Simple Storage Service (Amazon S3) using standard SQL.
Enable this integration to see all your Athena metrics in Datadog.
If you haven’t already, set up the Amazon Web Services integration first.
Athena
is enabled under the Metric Collection
tab.aws.athena.dpu_allocated (gauge) | The total number of DPUs (data processing units) provisioned in a capacity reservation to run queries. |
aws.athena.dpu_consumed (gauge) | The number of DPUs actively consumed by queries in a RUNNING state at a given time in a reservation. |
aws.athena.dpu_count (gauge) | The maximum number of DPUs consumed by a query, published exactly once as the query completes. |
aws.athena.engine_execution_time (gauge) | The number of milliseconds that the query took to run. Shown as millisecond |
aws.athena.processed_bytes (count) | The amount of data that Athena scanned per query. |
aws.athena.query_planning_time (gauge) | The number of milliseconds that Athena took to plan the query processing flow. Shown as millisecond |
aws.athena.query_queue_time (gauge) | The number of milliseconds that the query was in the query queue waiting for resources. Shown as millisecond |
aws.athena.service_pre_processing_time (gauge) | The number of milliseconds that Athena took to preprocess the query before submitting the query to the query engine. Shown as millisecond |
aws.athena.service_processing_time (gauge) | The number of milliseconds that Athena took to process the query results after the query engine finished running the query. Shown as millisecond |
aws.athena.total_execution_time (gauge) | The total amount of time in milliseconds it takes Athena to run the query. Shown as millisecond |
The Amazon Athena integration does not include any events.
The Amazon Athena integration does not include any service checks.
Need help? Contact Datadog support.