Details
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Improvement
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Status: Resolved
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Normal
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Resolution: Fixed
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None
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
Attachments
Issue Links
- is related to
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CASSANDRA-14239 OutOfMemoryError when bootstrapping with less than 100GB RAM
- Open
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CASSANDRA-12905 Retry acquire MV lock on failure instead of throwing WTE on streaming
- Resolved
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CASSANDRA-11670 Rebuilding or streaming MV generates mutations larger than max_mutation_size_in_kb
- Resolved
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CASSANDRA-13787 RangeTombstoneMarker and PartitionDeletion is not properly included in MV
- Resolved
- relates to
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CASSANDRA-12268 Make MV Index creation robust for wide referent rows
- Resolved