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 >>>> >>> >>> >> >
