Uploaded image for project: 'Apache Cassandra'
  1. Apache Cassandra
  2. CASSANDRA-13299

Potential OOMs and lock contention in write path streams

    XMLWordPrintableJSON

Details

    Description

      I see a potential OOM, when a stream (e.g. repair) goes through the write path as it is with MVs.

      StreamReceiveTask gets a bunch of SSTableReaders. These produce rowiterators and they again produce mutations. So every partition creates a single mutation, which in case of (very) big partitions can result in (very) big mutations. Those are created on heap and stay there until they finished processing.

      I don't think it is necessary to create a single mutation for each partition. Why don't we implement a PartitionUpdateGeneratorIterator that takes a UnfilteredRowIterator and a max size and spits out PartitionUpdates to be used to create and apply mutations?
      The max size should be something like min(reasonable_absolute_max_size, max_mutation_size, commitlog_segment_size / 2). reasonable_absolute_max_size could be like 16M or sth.
      A mutation shouldn't be too large as it also affects MV partition locking. The longer a MV partition is locked during a stream, the higher chances are that WTE's occur during streams.
      I could also imagine that a max number of updates per mutation regardless of size in bytes could make sense to avoid lock contention.

      Love to get feedback and suggestions, incl. naming suggestions.

      Attachments

        Issue Links

          Activity

            People

              jasonstack Zhao Yang
              brstgt Benjamin Roth
              Zhao Yang
              Paulo Motta
              Votes:
              0 Vote for this issue
              Watchers:
              10 Start watching this issue

              Dates

                Created:
                Updated:
                Resolved: