I am using tachyon in the spark program below,but I encounter a
BlockNotFoundxception.
Does someone know what's wrong and also is there guide on how to configure
spark to work with Tackyon?Thanks!
conf.set("spark.externalBlockStore.url", "tachyon://10.18.19.33:19998")
conf.set("spark.externalBlockStore.baseDir","/spark")
val sc = new SparkContext(conf)
import org.apache.spark.storage.StorageLevel
val rdd = sc.parallelize(List(1, 2, 3, 4, 5, 6))
rdd.persist(StorageLevel.OFF_HEAP)
val count = rdd.count()
val sum = rdd.reduce(_ + _)
println(s"The count: $count, The sum is: $sum")
15/08/26 14:52:03 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have
all completed, from pool
org.apache.spark.SparkException: Job aborted due to stage failure: Task 5 in
stage 0.0 failed 1 times, most recent failure: Lost task 5.0 in stage 0.0 (TID
5, localhost): java.lang.RuntimeException:
org.apache.spark.storage.BlockNotFoundException: Block rdd_0_5 not found
at
org.apache.spark.storage.BlockManager.getBlockData(BlockManager.scala:308)
at
org.apache.spark.network.netty.NettyBlockRpcServer$$anonfun$2.apply(NettyBlockRpcServer.scala:57)
at
org.apache.spark.network.netty.NettyBlockRpcServer$$anonfun$2.apply(NettyBlockRpcServer.scala:57)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
at
org.apache.spark.network.netty.NettyBlockRpcServer.receive(NettyBlockRpcServer.scala:57)
at
org.apache.spark.network.server.TransportRequestHandler.processRpcRequest(TransportRequestHandler.java:114)
at
org.apache.spark.network.server.TransportRequestHandler.handle(TransportRequestHandler.java:87)
at
org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:101)
at
org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:51)
at
io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105)
at
io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
at
io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
at
io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:254)
at
io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
at
io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
at
io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103)
at
io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
at
io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
at
io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:163)
at
io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
at
io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
at
io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:787)
at
io.netty.channel.nio.AbstractNioByteChannel$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)
