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From Ashutosh Ranjan <ashutoshranjan.kgp....@gmail.com>
Subject "Too Large DataFrame" shuffle Fetch Failed exception in Spark SQL (SPARK-16753) (SPARK-9862)(SPARK-5928)(TAGs - Spark SQL, Intermediate Level, Debug)
Date Fri, 16 Feb 2018 12:55:34 GMT
Hi All,



My spark Configuration is following.



spark = SparkSession.builder.master(mesos_ip) \

.config('spark.executor.cores','3')\

.config('spark.executor.memory','8g')\

.config('spark.es.scroll.size','10000')\

.config('spark.network.timeout','600s')\

.config('spark.executor.heartbeatInterval','60s')\

.config('spark.driver.cores','3')\

.config('spark.driver.extraJavaOptions','-Xmx4g -Xms4g')\

.config("spark.driver.extraJavaOptions", "-XX:+UseG1GC
-XX:MaxDirectMemorySize=1024m")\

.config('spark.files.overwrite','true')\

.config('spark.kryoserializer.buffer', '70')\

.config('spark.driver.extraJavaOptions', '-XX:+UseG1GC')\

.config('spark.executor.extraJavaOptions', '-XX:+UseG1GC')\

.config('spark.serializer','org.apache.spark.serializer.KryoSerializer')\

.config('spark.broadcast.compress', 'true')\

.config('spark.shuffle.compress', 'true')\

.config('spark.shuffle.spill.compress', 'true')\

.config('spark.driver.memory','8g')\

.config('spark.cores.max','12')\

.config('spark.sql.shuffle.partitions','6000')\

.config('es.nodes',es_nodes)\

.config('es.port',es_port)\

.config('spark.sql.autoBroadcastJoinThreshold',-1)\

.config('spark.es.mapping.date.rich','false')\

.config('spark.mesos.executor.memoryOverhead',1000).getOrCreate()



Here we have used value of “spark.sql.shuffle.partitions” as high as 6000
as suggested in
https://stackoverflow.com/questions/35948714/joining-a-large-and-a-ginormous-spark-dataframe





We are using SQL join on two index of size > 10 GB and getting following
error.


Error - org.apache.spark.shuffle.FetchFailedException: Too large frame:
2500596250

    at
org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:357)

    at
org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:332)

    at
org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:54)

    at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) ...



Is there a concrete solution to this problem?. Please help out.

Best,
Ashutosh

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