Hi,
I have a spark jobs that runs on yarn and keeps failing at line where i do :
val hConf = HBaseConfiguration.create
hConf.setInt("hbase.client.scanner.caching", 10000)
hConf.setBoolean("hbase.cluster.distributed", true)
new PairRDDFunctions(hbaseRdd).saveAsHadoopDataset(jobConfig)
Basically at this stage multiple Executors fails after high GC
activities. However none of the executor logs, driver logs or node
manager logs indicate any OutOfMemory errors or GC Overhead Exceeded
errors or memory limits exceeded errors. I don't see any other reason
for Executor failures as well.
Driver Logs:
Failing Oozie Launcher, Main class
[org.apache.oozie.action.hadoop.SparkMain], main() threw exception,
Job aborted due to stage failure: Task 388 in stage 22.0 failed 4
times, most recent failure: Lost task 388.3 in stage 22.0 (TID 32141,
maprnode5): ExecutorLostFailure (executor 5 lost)
Driver stacktrace:
org.apache.spark.SparkException: Job aborted due to stage failure:
Task 388 in stage 22.0 failed 4 times, most recent failure: Lost task
388.3 in stage 22.0 (TID 32141, maprnode5): ExecutorLostFailure
(executor 5 lost)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1283)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1824)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1837)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1914)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1124)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1065)
at
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1065)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
at
org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopDataset(PairRDDFunctions.scala:1065)
Executor logs:
16/02/24 11:09:47 INFO executor.Executor: Finished task 224.0 in stage
8.0 (TID 15318). 2099 bytes result sent to driver
16/02/24 11:09:47 INFO executor.CoarseGrainedExecutorBackend: Got
assigned task 15333
16/02/24 11:09:47 INFO executor.Executor: Running task 239.0 in stage
8.0 (TID 15333)
16/02/24 11:09:47 INFO storage.ShuffleBlockFetcherIterator: Getting
125 non-empty blocks out of 3007 blocks
16/02/24 11:09:47 INFO storage.ShuffleBlockFetcherIterator: Started 14
remote fetches in 10 ms
16/02/24 11:11:47 ERROR server.TransportChannelHandler: Connection to
maprnode5 has been quiet for 120000 ms while there are outstanding
requests. Assuming connection is dead; please adjust
spark.network.timeout if this is wrong.
16/02/24 11:11:47 ERROR client.TransportResponseHandler: Still have 1
requests outstanding when connection from maprnode5 is closed
16/02/24 11:11:47 ERROR shuffle.OneForOneBlockFetcher: Failed while
starting block fetches
java.io.IOException: Connection from maprnode5 closed
at
org.apache.spark.network.client.TransportResponseHandler.channelUnregistered(TransportResponseHandler.java:104)
at
org.apache.spark.network.server.TransportChannelHandler.channelUnregistered(TransportChannelHandler.java:91)
at
io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
at
io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
at
io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
at
io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
at
io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
at
io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
at
io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
at
io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
at
io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
at
io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
at
io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
at
io.netty.channel.DefaultChannelPipeline.fireChannelUnregistered(DefaultChannelPipeline.java:739)
at
io.netty.channel.AbstractChannel$AbstractUnsafe$8.run(AbstractChannel.java:659)
at
io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:357)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:357)
at
io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
at java.lang.Thread.run(Thread.java:744)
16/02/24 11:11:47 INFO shuffle.RetryingBlockFetcher: Retrying fetch
(1/3) for 6 outstanding blocks after 5000 ms
16/02/24 11:11:52 INFO client.TransportClientFactory: Found inactive
connection to maprnode5, creating a new one.
16/02/24 11:12:16 WARN server.TransportChannelHandler: Exception in
connection from maprnode5
java.io.IOException: Connection reset by peer
at sun.nio.ch.FileDispatcherImpl.read0(Native Method)
at sun.nio.ch.SocketDispatcher.read(SocketDispatcher.java:39)
at sun.nio.ch.IOUtil.readIntoNativeBuffer(IOUtil.java:223)
at sun.nio.ch.IOUtil.read(IOUtil.java:192)
at sun.nio.ch.SocketChannelImpl.read(SocketChannelImpl.java:379)
at
io.netty.buffer.PooledUnsafeDirectByteBuf.setBytes(PooledUnsafeDirectByteBuf.java:313)
at io.netty.buffer.AbstractByteBuf.writeBytes(AbstractByteBuf.java:881)
at
io.netty.channel.socket.nio.NioSocketChannel.doReadBytes(NioSocketChannel.java:242)
at
io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:119)
at
io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511)
at
io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
at
io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
at
io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
at java.lang.Thread.run(Thread.java:744)
16/02/24 11:12:16 ERROR client.TransportResponseHandler: Still have 1
requests outstanding when connection from maprnode5 is closed
16/02/24 11:12:16 ERROR shuffle.OneForOneBlockFetcher: Failed while
starting block fetches
--
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