HeartSaVioR commented on code in PR #41099: URL: https://github.com/apache/spark/pull/41099#discussion_r1211029620
########## docs/structured-streaming-programming-guide.md: ########## @@ -2389,6 +2394,12 @@ If you want to cap RocksDB memory usage in your Spark Structured Streaming deplo You can also determine the max allowed memory for RocksDB instances by setting the `spark.sql.streaming.stateStore.rocksdb.maxMemoryUsageMB` value to a static number or as a fraction of the physical memory available on the node. Limits for individual RocksDB instances can also be configured by setting `spark.sql.streaming.stateStore.rocksdb.writeBufferSizeMB` and `spark.sql.streaming.stateStore.rocksdb.maxWriteBufferNumber` to the required values. By default, RocksDB internal defaults are used for these settings. +##### RocksDB State Store Changelog Checkpointing Review Comment: Looks OK :) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
