Does it fail with just Spark jobs (using storage levels) on non-coarse mode?
TD On Fri, Mar 27, 2015 at 4:39 AM, Ondrej Smola <ondrej.sm...@gmail.com> wrote: > 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 >>>>>> >>>>> >>>>> >>>> >>> >> >
