개요
Amazon Athena는 양방향 쿼리 서비스로, 표준 SQL을 사용해 Amazon S3(Amazon Simple Storage Service)에서 직접 데이터를 분석하는 것을 용이하게 합니다.
이 통합을 활성화해 Datadog에서 모든 Athena 메트릭을 참조하세요.
설정
설치
이미 하지 않은 경우 먼저 Amazon Web Services 통합을 설정하세요.
메트릭 수집
- AWS 통합 페이지에서
Metric Collection 탭에 Athena가 활성화되어 있는지 확인하세요. - Datadog - Amazon Athena 통합을 설치합니다.
수집한 데이터
메트릭
| |
|---|
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 |
이벤트
Amazon Athena 통합이 이벤트를 포함하지 않습니다.
서비스 점검
Amazon Athena 통합이 서비스 점검을 포함하지 않습니다.
트러블슈팅
도움이 필요하신가요? Datadog 지원팀에 문의하세요.
