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MySQL Session Diagnosis with ChatDBA | NineData

When a service becomes slow, first identify abnormal sessions, their impact on other requests, and whether immediate mitigation is necessary. ChatDBA uses the selected MySQL data source context to analyze real-time sessions and provide a common troubleshooting entry point.

Before you begin​

  • Sign in to the NineData console and add the target MySQL data source.
  • Confirm that the current account can access the target data source.
  • Restrict the diagnosis to an authorized environment and approved troubleshooting scope.

Procedure​

  1. Open ChatDBA and select the MySQL data source through Select Datasource.

    Select a MySQL data source for session diagnosis

  2. Enter and send a request such as: Diagnose the current MySQL instance for abnormal sessions. List long-running sessions, running SQL, possible impact, and handling suggestions.

    Submit a MySQL session diagnosis request

  3. Review session duration, SQL, user, source, wait state, impact assessment, and follow-up suggestions.

    Review MySQL session diagnosis results

Result and precautions​

  • Distinguish abnormal sessions, blocking sessions, and blocked sessions. Do not decide to terminate a session from duration alone.
  • Before a kill operation, confirm transaction contents, business source, impact scope, rollback risk, and the required approval.
  • After mitigation, review SQL, indexes, connection-pool settings, or scheduling causes to prevent recurrence.