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The problem is located that in the recent release of TiSpark, the default value of PARTITION_PER_SPLIT is changed from 10 to 1. It results in increasing Spark tasks.
some related problems:
ScanRequest receive a slower response from tikv when scanning meta data
cause: scanning is not concurrent.
Memory usage incresed.
cause: the memory usage of ColumnVector should be optimized.
Affected versions: v2.3.14 to v2.3.16, v2.4.1
The text was updated successfully, but these errors were encountered:
"Memory usage": Pls also check DAGIterator.process(), the underlying grpc always thow OutOfDirectMemoryError even in unpooled mode. As 10Million rows table scan in ETL, Off-Heap mem is requried roughly 5GB, that's really a big waste.
The problem is located that in the recent release of TiSpark, the default value of
PARTITION_PER_SPLIT
is changed from 10 to 1. It results in increasing Spark tasks.some related problems:
Affected versions: v2.3.14 to v2.3.16, v2.4.1
The text was updated successfully, but these errors were encountered: