How to find long running SQL query in Oracle

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How to find long running SQL query in Oracle

How to find long running SQL query in Oracle: There are several ways to find long-running SQL queries in Oracle:

  1. Using the V$SQL view: The V$SQL view provides information on all SQL statements that have been executed in the database. By querying this view, you can find the SQL statements that have taken the longest amount of time to execute. For example, you can use the following query to find the top 10 longest running SQL queries:
SELECT
SQL_FULLTEXT,
ELAPSED_TIME / 1000000 ELAPSED_TIME_SECS
FROM
V$SQL
ORDER BY
ELAPSED_TIME DESC
FETCH FIRST 10 ROWS ONLY;
  1. Using the Oracle Enterprise Manager (OEM): OEM is a web-based tool that provides a visual representation of the database performance. You can use the performance page to view the top SQL statements by elapsed time, CPU time, and other metrics.
  2. Using the Active Session History (ASH) report: The ASH report provides a summary of the activity in the database and can be used to identify long-running SQL statements. You can use the ASH report to view the top SQL statements by elapsed time, CPU time, and other metrics.
  3. Using the Oracle Database Audit: Auditing can be used to track database activity, including SQL statements. You can enable auditing on specific SQL statements and then query the audit trail to find the long-running SQL statements.
  4. Using the SQL Trace: You can enable a SQL trace for specific sessions or for the entire database. The trace file generated by the SQL trace can be used to identify long-running SQL statements and to analyze their performance.

How to find long running SQL query in Oracle: It’s also worth noting that it’s a good practice to periodically review the long-running SQL statements and determine the cause of the slow performance. This can be done by analyzing the execution plan and identifying any missing indexes or sub optimal join conditions, or other performance issues. Then it’s possible to tune the SQL or the schema accordingly to improve the performance.

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