Prasanth Jayachandran created HIVE-19206:
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Summary: Automatic memory management for open streaming writers
Key: HIVE-19206
URL: https://issues.apache.org/jira/browse/HIVE-19206
Project: Hive
Issue Type: Sub-task
Components: Streaming
Affects Versions: 3.0.0, 3.1.0
Environment: Problem:
When there are 100s of record updaters open, the amount of memory required by
orc writers keeps growing because of ORC's internal buffers. This can lead to
potential high GC or OOM during streaming ingest.
Solution:
The high level idea is for the streaming connection to remember all the open
record updaters and flush the record updater periodically (at some interval).
Records written to each record updater can be used as a metric to determine the
candidate record updaters for flushing.
If stripe size of orc file is 64MB, the default memory management check happens
only after every 5000 rows which may which may be too late when there are too
many concurrent writers in a process. Example case would be 100 writers open
and each of them have almost full stripe of 64MB buffered data, this would take
100*64MB ~=6GB of memory. When all of the record writers flush, the memory
usage drops down to 100*~2MB which is just ~200MB memory usage.
Reporter: Prasanth Jayachandran
Assignee: Prasanth Jayachandran
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