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`,t+=`Querying Logs, Metrics, Spans, and RUM through DDSQL is in Preview. Use this form to request access. If you want access to Spans, RUM, or other data sources not listed in the use cases section, mention them in the access request form.
Request AccessWith 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. If you haven’t already, reach out to support to enable this feature.
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. For more information, see the DDSQL Reference.
SELECT instance_type, count(instance_type)
FROM aws.ec2_instance
WHERE tags->'region' = 'us-east-1' -- region is a tag, not a column
GROUP BY instance_type
If you want access to Spans, RUM, or other data sources not listed in the use cases section, mention them in the access request form.
View, filter, and built queries in the Data Explorer.
Click a table name to view its columns and relationships:
For data sources such as Logs, use the query builder to generate table functions.
Save useful queries for future reference or download the data as CSV.
Export a saved query to a dashboard by clicking Save to Dashboard. From a dashboard you can visualize results and send Scheduled Reports.
Browse and re-run recent or 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.