Reference for Database Query Performance

Reference material for using Database Query Performance in Splunk APM.

Supported databases

Database Query Performance provides insights for the following database software:

Database Query Performance works with all versions supported by the instrumented applications.

Note: Related Content is available for Oracle, MySQL, Redis, and Microsoft SQL Server. For more information on related content, see Related Content in Splunk Observability Cloud.

Database Query Performance indexes the following span tags.


Key	Type	Description
Normalized db.statement (`_sf_normalized_db_statement`)	string	The database statement, with dynamic elements replaced with placeholders to reduce cardinality
`db.name`	string	Name of the database
`db.type`	string	Type of database
`db.operation`	string	Operation in the database
`db.sql.table`	string	Table in the database (SQL only)
`db.system`	string	System of the database


Key	Type	Description
Database operation (`_sf_db_operation`)	string	Operation in the database, derived from `db.statement` or `db.operation`
`db.system`	string	System of the database

See the following links for more information about Database Query Performance:

For an overview of Database Query Performance, see Monitor Database Query Performance.
To turn on Database Query Performance, see Turn on Database Query Performance.
For a scenario focusing on MySQL and SQL troubleshooting, see Scenario: Jax identifies slow database queries using Database Query Performance.
For a scenario focusing on Redis and NoSQL troubleshooting, see Scenario: Skyler investigates Redis performance issues using Database Query Performance.
To troubleshoot issues with Database Query Performance, see Troubleshoot Database Query Performance.