Uploaded image for project: 'Kafka'
  1. Kafka
  2. KAFKA-10015

React Smartly to Unexpected Errors on Stream Threads

Attach filesAttach ScreenshotVotersWatch issueWatchersCreate sub-taskLinkCloneUpdate Comment AuthorReplace String in CommentUpdate Comment VisibilityDelete Comments
    XMLWordPrintableJSON

Details

    • Improvement
    • Status: Closed
    • Major
    • Resolution: Fixed
    • 2.5.0
    • None
    • streams

    Description

      Currently, if an unexpected error occurs on a stream thread, the stream thread dies, a rebalance is triggered, and the Streams' client continues to run with less stream threads.

      Some errors trigger a cascading of stream thread death, i.e., after the rebalance that resulted from the death of the first thread the next thread dies, then a rebalance is triggered, the next thread dies, and so forth until all stream threads are dead and the instance shuts down. Such a chain of rebalances could be avoided if an error could be recognized as the cause of cascading stream deaths and as a consequence the Streams' client could be shut down after the first stream thread death.

      On the other hand, some unexpected errors are transient and the stream thread could safely be restarted without causing further errors and without the need to restart the Streams' client.

      The goal of this ticket is to classify errors and to automatically react to the errors in a way to avoid cascading deaths and to recover stream threads if possible.

      KIP-663: https://cwiki.apache.org/confluence/display/KAFKA/KIP-663%3A+API+to+Start+and+Shut+Down+Stream+Threads

      Attachments

        Issue Links

        Activity

          This comment will be Viewable by All Users Viewable by All Users
          Cancel

          People

            wcarlson5 Walker Carlson
            cadonna Bruno Cadonna
            Votes:
            0 Vote for this issue
            Watchers:
            3 Start watching this issue

            Dates

              Created:
              Updated:
              Resolved:

              Slack

                Issue deployment