More info when using *spark.mesos.coarse* everything works as expected. I think this must be a bug in spark-mesos integration.
2015-03-27 9:23 GMT+01:00 Ondrej Smola <ondrej.sm...@gmail.com>: > It happens only when StorageLevel is used with 1 replica ( StorageLevel. > MEMORY_ONLY_2,StorageLevel.MEMORY_AND_DISK_2) , StorageLevel.MEMORY_ONLY , > StorageLevel.MEMORY_AND_DISK works - the problems must be clearly > somewhere between mesos-spark . From console I see that spark is trying to > replicate to nodes -> nodes show up in Mesos active tasks ... but they > always fail with ClassNotFoundE. > > 2015-03-27 0:52 GMT+01:00 Tathagata Das <t...@databricks.com>: > >> Could you try running a simpler spark streaming program with receiver >> (may be socketStream) and see if that works. >> >> TD >> >> On Thu, Mar 26, 2015 at 2:08 PM, Ondrej Smola <ondrej.sm...@gmail.com> >> wrote: >> >>> Hi thanks for reply, >>> >>> yes I have custom receiver -> but it has simple logic .. pop ids from >>> redis queue -> load docs based on ids from elastic and store them in spark. >>> No classloader modifications. I am running multiple Spark batch jobs (with >>> user supplied partitioning) and they have no problems, debug in local mode >>> show no errors. >>> >>> 2015-03-26 21:47 GMT+01:00 Tathagata Das <t...@databricks.com>: >>> >>>> Here are few steps to debug. >>>> >>>> 1. Try using replication from a Spark job: sc.parallelize(1 to 100, >>>> 100).persist(StorageLevel.MEMORY_ONLY_2).count() >>>> 2. If one works, then we know that there is probably nothing wrong with >>>> the Spark installation, and probably in the threads related to the >>>> receivers receiving the data. Are you writing a custom receiver? Are you >>>> somehow playing around with the class loader in the custom receiver? >>>> >>>> TD >>>> >>>> >>>> On Thu, Mar 26, 2015 at 10:59 AM, Ondrej Smola <ondrej.sm...@gmail.com> >>>> wrote: >>>> >>>>> Hi, >>>>> >>>>> I am running spark streaming v 1.3.0 (running inside Docker) on Mesos >>>>> 0.21.1. Spark streaming is started using Marathon -> docker container gets >>>>> deployed and starts streaming (from custom Actor). Spark binary is located >>>>> on shared GlusterFS volume. Data is streamed from Elasticsearch/Redis. >>>>> When >>>>> new batch arrives Spark tries to replicate it but fails with following >>>>> error : >>>>> >>>>> 15/03/26 14:50:00 INFO MemoryStore: Block broadcast_0 of size 2840 >>>>> dropped from memory (free 278017782) >>>>> 15/03/26 14:50:00 INFO BlockManager: Removing block broadcast_0_piece0 >>>>> 15/03/26 14:50:00 INFO MemoryStore: Block broadcast_0_piece0 of size >>>>> 1658 dropped from memory (free 278019440) >>>>> 15/03/26 14:50:00 INFO BlockManagerMaster: Updated info of block >>>>> broadcast_0_piece0 >>>>> 15/03/26 14:50:00 ERROR TransportRequestHandler: Error while invoking >>>>> RpcHandler#receive() on RPC id 7178767328921933569 >>>>> java.lang.ClassNotFoundException: org/apache/spark/storage/StorageLevel >>>>> at java.lang.Class.forName0(Native Method) >>>>> at java.lang.Class.forName(Class.java:344) >>>>> at >>>>> org.apache.spark.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:65) >>>>> at >>>>> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1613) >>>>> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1518) >>>>> at >>>>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1774) >>>>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351) >>>>> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371) >>>>> at >>>>> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:68) >>>>> at >>>>> org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:88) >>>>> at >>>>> org.apache.spark.network.netty.NettyBlockRpcServer.receive(NettyBlockRpcServer.scala:65) >>>>> at >>>>> org.apache.spark.network.server.TransportRequestHandler.processRpcRequest(TransportRequestHandler.java:124) >>>>> at >>>>> org.apache.spark.network.server.TransportRequestHandler.handle(TransportRequestHandler.java:97) >>>>> at >>>>> org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:91) >>>>> at >>>>> org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:44) >>>>> at >>>>> io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105) >>>>> at >>>>> io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333) >>>>> at >>>>> io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319) >>>>> at >>>>> io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103) >>>>> at >>>>> io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333) >>>>> at >>>>> io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319) >>>>> at >>>>> io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:163) >>>>> at >>>>> io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333) >>>>> at >>>>> io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319) >>>>> at >>>>> io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:787) >>>>> at >>>>> io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:130) >>>>> 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:116) >>>>> at java.lang.Thread.run(Thread.java:745) >>>>> 15/03/26 14:50:01 ERROR TransportRequestHandler: Error while invoking >>>>> RpcHandler#receive() on RPC id 9001562482648380222 >>>>> >>>>> From mesos UI i see unpacked spark binary and my assembly jar in place >>>>> (on running driver and on replication targets). I have other spark BATCH >>>>> jobs running from same base docker image OK. When there is no incoming >>>>> data >>>>> exception is not thrown. Spark config : >>>>> >>>>> spark.master >>>>> >>>>> mesos://zk://incomparable-brush.maas:2181,cumbersome-match.maas:2181,voluminous-toys.maas:2181/mesos >>>>> spark.serializer org.apache.spark.serializer.KryoSerializer >>>>> spark.executor.uri >>>>> file:///master/spark/spark-1.3.0-bin-hadoop2.4.tgz >>>>> spark.local.dir /opt/spark_tmp >>>>> >>>>> spark.driver.port 41000 >>>>> spark.executor.port 41016 >>>>> spark.fileserver.port 41032 >>>>> spark.broadcast.port 41048 >>>>> spark.replClassServer.port 41064 >>>>> spark.blockManager.port 41080 >>>>> spark.ui.port 41096 >>>>> spark.history.ui.port 41112 >>>>> >>>>> Thanks for any help >>>>> >>>> >>>> >>> >> >
