Hi all -
since upgrading to 2.2.0, we've noticed a significant increase in read.parquet(...) ops. The parquet files are being read from S3. Upon entry at the interactive terminal (pyspark in this case), the terminal will sit "idle" for several minutes (as many as 10) before returning:
"17/09/08 15:34:37 WARN SharedInMemoryCache: Evicting cached table partition metadata from memory due to size constraints (spark.sql.hive.filesourcePartitionFileCacheSize = 2000000000 bytes). This may impact query planning performance."
In the spark UI, there are no jobs being run during this idle period. Subsequently, a short 1-task job lasting approximately 10 seconds runs, and then another idle time of roughly 2-3 minutes follows thereafter before returning to the terminal/CLI.
Can someone explain what is happening here in the background? Is there a misconfiguration we should be looking for? We are using Hive metastore on the EMR cluster.
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