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Database Autonomy Service:Slow query logs

Last Updated:Jun 16, 2025

Slow SQL queries significantly decrease the database stability. When issues such as high workloads and performance jitters occur on databases, database administrators (DBAs) or developers first check whether slow query logs are generated. Database Autonomy Service (DAS) provides the log analysis feature for slow queries. DAS collects statistics on and analyzes SQL statements whose execution duration exceeds the specified threshold value and provides solutions. You can troubleshoot database performance issues with ease. This enhances system reliability and stability.

Background information

Slow query logs are generated by the database kernel. Relevant parameters and thresholds vary based on the database engine. For more information, see the corresponding official documentation.

Procedure

  1. Log on to the DAS console.

  2. In the left-side navigation pane, choose Intelligent O&M Center > Instance Monitoring.

  3. On the page that appears, find the database instance that you want to manage and click the instance ID. The instance details page appears.

  4. In the left-side navigation pane, choose Request Analysis > Slow Logs.

  5. Specify a time range and view the Slow Query Log Trends, Event Distribution, Slow Query Log Statistics, and Slow Query Log Details within the specified time range.

    Note

    When you specify the time range, the end time must be later than the start time, and the interval between the start time and the end time cannot exceed 24 hours. You can query slow query logs within the previous month.

    • In the Slow Query Log Trends section, you can click the Compute Node (CN) and Data Node (DN) tabs to view slow query logs on compute nodes and data nodes.

    • In the Slow Query Log Trends section, you can click a point in time in the trend chart and view the statistics and details of the slow query logs at the point in time.

      Note

      If the content of an SQL statement is not completely displayed due to length limits of the GUI, you can move the pointer over the SQL statement to view the complete content.

    • Select the desired node from the Node ID drop-down list to view the number of slow queries on the node.

    • Click the image icon to download slow query logs to your computer.

    • Click image to populate the selected and entered parameters to the OpenAPI console for API debugging.

    • In the Event Distribution section, perform the following operation:

      You can query slow query log events within the specified time range. Click an event to view its details.

    • On the Slow Query Log Statistics tab, perform the following operations:

      • Find the SQL template that you want to manage and click Details in the Actions column. In the Slow Log Sample dialog box, view the slow query log sample of the SQL template.

      • Click Optimize in the Actions column corresponding to the SQL template. In the SQL Diagnostic Optimization dialog box, view the SQL diagnosis results.

        If you accept the SQL optimization suggestions, click Copy in the upper-right corner and paste the optimized SQL statements to the database client or Data Management (DMS) for execution. If you do not accept the SQL optimization suggestions, click Cancel.

        Note

        DAS performs SQL diagnostics based on the complexity of SQL statements, the amount of data in the table, and the database load. Suggestions may be returned in more than 20 seconds after the SQL diagnostics is performed. After the diagnostics is complete, the SQL diagnostic engine provides diagnostic results, optimization suggestions, and expected optimization benefits. You can determine whether to accept the suggestions based on the diagnostic results.

      • Find the SQL template that you want to manage and click Throttling in the Actions column. In the SQL Throttling dialog box, configure the parameters. For more information, see SQL throttling.

    • Find the SQL statement that you want to manage and click Logical SQL Statements in the Actions column to view the SQL statements on compute nodes and data nodes.