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https://issues.apache.org/jira/browse/SPARK-7477?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14534805#comment-14534805
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Dibyendu Bhattacharya commented on SPARK-7477:
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I tried Hierarchical Storage on Tachyon (
http://tachyon-project.org/Hierarchy-Storage-on-Tachyon.html ) , and that seems
to have worked and I did not see any any Spark Job failed due to
BlockNotFoundException. below is my Hierarchical Storage settings..
-Dtachyon.worker.hierarchystore.level.max=2
-Dtachyon.worker.hierarchystore.level0.alias=MEM
-Dtachyon.worker.hierarchystore.level0.dirs.path=$TACHYON_RAM_FOLDER
-Dtachyon.worker.hierarchystore.level0.dirs.quota=$TACHYON_WORKER_MEMORY_SIZE
-Dtachyon.worker.hierarchystore.level1.alias=HDD
-Dtachyon.worker.hierarchystore.level1.dirs.path=/mnt/tachyon
-Dtachyon.worker.hierarchystore.level1.dirs.quota=50GB
-Dtachyon.worker.allocate.strategy=MAX_FREE
-Dtachyon.worker.evict.strategy=LRU
> 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 ..
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