Hi this GC overhead limit error is making me crazy. I have 20 executors using
25 GB each I dont understand at all how can it throw GC overhead I also dont
that that big datasets. Once this GC error occurs in executor it will get
lost and slowly other executors getting lost because of IOException, Rpc
client disassociated, shuffle not found etc Please help me solve this I am
getting mad as I am new to Spark. Thanks in advance.
WARN scheduler.TaskSetManager: Lost task 7.0 in stage 363.0 (TID 3373,
myhost.com): java.lang.OutOfMemoryError: GC overhead limit exceeded
at
org.apache.spark.sql.types.UTF8String.toString(UTF8String.scala:150)
at
org.apache.spark.sql.catalyst.expressions.GenericRow.getString(rows.scala:120)
at
org.apache.spark.sql.columnar.STRING$.actualSize(ColumnType.scala:312)
at
org.apache.spark.sql.columnar.compression.DictionaryEncoding$Encoder.gatherCompressibilityStats(compressionSchemes.scala:224)
at
org.apache.spark.sql.columnar.compression.CompressibleColumnBuilder$class.gatherCompressibilityStats(CompressibleColumnBuilder.scala:72)
at
org.apache.spark.sql.columnar.compression.CompressibleColumnBuilder$class.appendFrom(CompressibleColumnBuilder.scala:80)
at
org.apache.spark.sql.columnar.NativeColumnBuilder.appendFrom(ColumnBuilder.scala:87)
at
org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1.next(InMemoryColumnarTableScan.scala:148)
at
org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1.next(InMemoryColumnarTableScan.scala:124)
at
org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:277)
at
org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:171)
at
org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:78)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:242)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:70)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:70)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-executor-lost-because-of-GC-overhead-limit-exceeded-even-though-using-20-executors-using-25GB-h-tp24322.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
---------------------------------------------------------------------
To unsubscribe, e-mail: user-unsubscr...@spark.apache.org
For additional commands, e-mail: user-h...@spark.apache.org
