[ https://issues.apache.org/jira/browse/SPARK-7477?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dibyendu Bhattacharya updated SPARK-7477: ----------------------------------------- Description: With Spark Streaming on Tachyon as the OFF_HEAP block store I have used the low level Receiver based Kafka consumer (http://spark-packages.org/package/dibbhatt/kafka-spark-consumer) for Spark Streaming to pull from Kafka and write Blocks to Tachyon What I see TachyonBlockManager.scala put the blocks in WriteType.TRY_CACHE configuration . And because of this Blocks ate evicted from Tachyon Cache and when Spark try to find the block it throws BlockNotFoundException . When I modified the WriteType to CACHE_THROUGH , BlockDropException is gone , but it impact the throughput .. was: With Spark Streaming on Tachyon as the OFF_HEAP block store I have used the low level Receiver based Kafka consumer (http://spark-packages.org/package/dibbhatt/kafka-spark-consumer) to pull from Kafka and write Blocks to Tachyon What I see TachyonBlockManager.scala put the blocks in WriteType.TRY_CACHE configuration . And because of this Blocks ate evicted from Tachyon Cache and when Spark try to find the block it throws BlockNotFoundException . When I modified the WriteType to CACHE_THROUGH , BlockDropException is gone , but it impact the throughput .. > TachyonBlockManager Store Block in TRY_CACHE mode which gives > BlockNotFoundException when blocks are evicted from cache > ----------------------------------------------------------------------------------------------------------------------- > > Key: SPARK-7477 > URL: https://issues.apache.org/jira/browse/SPARK-7477 > Project: Spark > Issue Type: Bug > Components: Block Manager > Affects Versions: 1.4.0 > Reporter: Dibyendu Bhattacharya > > With Spark Streaming on Tachyon as the OFF_HEAP block store > I have used the low level Receiver based Kafka consumer > (http://spark-packages.org/package/dibbhatt/kafka-spark-consumer) for Spark > Streaming to pull from Kafka and write Blocks to Tachyon > What I see TachyonBlockManager.scala put the blocks in WriteType.TRY_CACHE > configuration . And because of this Blocks ate evicted from Tachyon Cache and > when Spark try to find the block it throws BlockNotFoundException . > When I modified the WriteType to CACHE_THROUGH , BlockDropException is gone , > but it impact the throughput .. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org