- 필수 기능
- 시작하기
- Glossary
- 표준 속성
- Guides
- Agent
- 통합
- 개방형텔레메트리
- 개발자
- Administrator's Guide
- API
- Datadog Mobile App
- CoScreen
- Cloudcraft
- 앱 내
- 서비스 관리
- 인프라스트럭처
- 애플리케이션 성능
- APM
- Continuous Profiler
- 스팬 시각화
- 데이터 스트림 모니터링
- 데이터 작업 모니터링
- 디지털 경험
- 소프트웨어 제공
- 보안
- AI Observability
- 로그 관리
- 관리
With DDSQL Editor, you can get deeper visibility into your infrastructure by querying your resources with natural language or with DDSQL, a dialect of SQL with additional support for querying tags.
Type your question into the search box, and Datadog builds the SQL query for you.
DDSQL is a query language for Datadog data. It implements several standard SQL operations, such as SELECT
, and allows queries against unstructured data, such as tags. Get exactly the data you want by writing your own SELECT
statement. Query tags as if they are standard table columns.
SELECT instance_type, count(instance_type)
FROM aws_ec2_instance
WHERE env = 'staging' -- env is a tag, not a column
GROUP BY instance_type
For more information on DDSQL queries, see the DDSQL References:
View and filter the list of tables and fields in the schema side panel:
Click a table name to view its columns and relationships:
Save useful queries, or export the data as CSV.
Browse and re-run saved queries in the side panel.
To access the DDSQL Editor app, users need the ddsql_editor_read
permission. This permission is included in the Datadog Read Only Role by default. If your organization uses custom roles, add this permission to the appropriate role. For more information on managing permissions, see the RBAC documentation.
추가 유용한 문서, 링크 및 기사: