Manohar Chamaraju created PHOENIX-5410:
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Summary: Phoenix spark takes long time persist data to hbase
Key: PHOENIX-5410
URL: https://issues.apache.org/jira/browse/PHOENIX-5410
Project: Phoenix
Issue Type: Bug
Reporter: Manohar Chamaraju
While using the phoenix spark connector 1.0.0-SNAPSHOT
([https://github.com/apache/phoenix-connectors/tree/master/phoenix-spark]) for
hbase found that write was taking really long time.
On profiling the connector found that 90% of cpu time is consumed in method
SparkJdbcUtil.toRow() method.
!https://files.slack.com/files-pri/T037D1PV9-FKYGD504A/image.png!
If i look into code SparkJdbcUtil.toRow() method gets called for every field of
a row and RowEncoder(schema).resolveAndBind() object gets created for every
iteration because of this lots of encoder objects get created and collected by
GC eventually causing CPU cycles and causing performance degradation.
Moreover SparkJdbcUtil.toRow() is called by PhoenixDataWriter.write() where
schema for writer object is same for all rows hence we can optimize the code
there by avoiding creating unnecessary objects and gaining good % of
performance improvement.
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