我是Spark的新手.我的输入文件包含训练数据4000x1800.当我尝试训练此数据(编写python)时出现以下错误:
14/11/15 22:39:13错误PythonRDD:Python工作人员意外退出(崩溃)java.net.SocketException:连接由peer重置:socket write error
org.apache.spark.SparkException:作业因阶段失败而中止:阶段0.0中的任务0失败1次,最近失败:阶段0.0中丢失的任务0.0(TID 0,本地主机):java.net.SocketException:连接重置by peer:套接字写错误
使用spark 1.1.0.任何建议都会有很大帮助.
码:
from pyspark.mllib.classification import SVMWithSGD from pyspark.mllib.regression import LabeledPoint from pyspark.mllib.linalg import Vectors from pyspark import SparkContext from pyspark import SparkConf, SparkContext from numpy import array #Train the model using feature matrix # Load and parse the data def parsePoint(line): values = [float(x) for x in line.split(' ')] return LabeledPoint(values[0], values[1:]) #create spark Context conf = (SparkConf() .setMaster("local") .setAppName("My app") .set("spark.executor.memory", "1g")) sc = SparkContext(conf = conf) data = sc.textFile("myfile.txt") parsedData = data.map(parsePoint) #Train SVM model model = SVMWithSGD.train(parsedData,100)
我收到以下错误:
14/11/15 22:38:38 INFO MemoryStore: ensureFreeSpace(32768) called with curMem=0, maxMem=278302556 14/11/15 22:38:38 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 32.0 KB, free 265.4 MB) >>> parsedData = data.map(parsePoint) >>> model = SVMWithSGD.train(parsedData,100) 14/11/15 22:39:12 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 14/11/15 22:39:12 WARN LoadSnappy: Snappy native library not loaded 14/11/15 22:39:12 INFO FileInputFormat: Total input paths to process : 1 14/11/15 22:39:13 INFO SparkContext: Starting job: runJob at PythonRDD.scala:296 14/11/15 22:39:13 INFO DAGScheduler: Got job 0 (runJob at PythonRDD.scala:296) with 1 output partitions (allowLocal=true) 14/11/15 22:39:13 INFO DAGScheduler: Final stage: Stage 0(runJob at PythonRDD.scala:296) 14/11/15 22:39:13 INFO DAGScheduler: Parents of final stage: List() 14/11/15 22:39:13 INFO DAGScheduler: Missing parents: List() 14/11/15 22:39:13 INFO DAGScheduler: Submitting Stage 0 (PythonRDD[3] at RDD at PythonRDD.scala:43), which has no missing parents 14/11/15 22:39:13 INFO MemoryStore: ensureFreeSpace(5088) called with curMem=32768, maxMem=278302556 14/11/15 22:39:13 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 5.0 KB, free 265.4 MB) 14/11/15 22:39:13 INFO DAGScheduler: Submitting 1 missing tasks from Stage 0 (PythonRDD[3] at RDD at PythonRDD.scala:43) 14/11/15 22:39:13 INFO TaskSchedulerImpl: Adding task set 0.0 with 1 tasks 14/11/15 22:39:13 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, localhost, PROCESS_LOCAL, 1221 bytes) 14/11/15 22:39:13 INFO Executor: Running task 0.0 in stage 0.0 (TID 0) 14/11/15 22:39:13 INFO HadoopRDD: Input split: file:/G:/SparkTest/spark-1.1.0/spark-1.1.0/bin/FeatureMatrix.txt:0+8103732 14/11/15 22:39:13 INFO PythonRDD: Times: total = 264, boot = 233, init = 29, finish = 2 14/11/15 22:39:13 ERROR PythonRDD: Python worker exited unexpectedly (crashed) java.net.SocketException: Connection reset by peer: socket write error at java.net.SocketOutputStream.socketWrite0(Native Method) at java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:113) at java.net.SocketOutputStream.write(SocketOutputStream.java:159) at java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82) at java.io.BufferedOutputStream.write(BufferedOutputStream.java:126) at java.io.DataOutputStream.write(DataOutputStream.java:107) at java.io.FilterOutputStream.write(FilterOutputStream.java:97) at org.apache.spark.api.python.PythonRDD$.writeUTF(PythonRDD.scala:533) at org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$2.apply(PythonRDD.scala:341) at org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$2.apply(PythonRDD.scala:340) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:340) at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:209) at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:184) at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:184) at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1311) at org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:183) 14/11/15 22:39:13 ERROR PythonRDD: This may have been caused by a prior exception: java.net.SocketException: Connection reset by peer: socket write error at java.net.SocketOutputStream.socketWrite0(Native Method) at java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:113) at java.net.SocketOutputStream.write(SocketOutputStream.java:159) at java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82) at java.io.BufferedOutputStream.write(BufferedOutputStream.java:126) at java.io.DataOutputStream.write(DataOutputStream.java:107) at java.io.FilterOutputStream.write(FilterOutputStream.java:97) at org.apache.spark.api.python.PythonRDD$.writeUTF(PythonRDD.scala:533) at org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$2.apply(PythonRDD.scala:341) at org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$2.apply(PythonRDD.scala:340) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:340) at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:209) at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:184) at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:184) at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1311) at org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:183) 14/11/15 22:39:13 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0) java.net.SocketException: Connection reset by peer: socket write error at java.net.SocketOutputStream.socketWrite0(Native Method) at java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:113) at java.net.SocketOutputStream.write(SocketOutputStream.java:159) at java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82) at java.io.BufferedOutputStream.write(BufferedOutputStream.java:126) at java.io.DataOutputStream.write(DataOutputStream.java:107) at java.io.FilterOutputStream.write(FilterOutputStream.java:97) at org.apache.spark.api.python.PythonRDD$.writeUTF(PythonRDD.scala:533) at org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$2.apply(PythonRDD.scala:341) at org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$2.apply(PythonRDD.scala:340) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:340) at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:209) at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:184) at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:184) at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1311) at org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:183) 14/11/15 22:39:13 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.net.SocketException: Connection reset by peer: socket write error java.net.SocketOutputStream.socketWrite0(Native Method) java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:113) java.net.SocketOutputStream.write(SocketOutputStream.java:159) java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82) java.io.BufferedOutputStream.write(BufferedOutputStream.java:126) java.io.DataOutputStream.write(DataOutputStream.java:107) java.io.FilterOutputStream.write(FilterOutputStream.java:97) org.apache.spark.api.python.PythonRDD$.writeUTF(PythonRDD.scala:533) org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$2.apply(PythonRDD.scala:341) org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$2.apply(PythonRDD.scala:340) scala.collection.Iterator$class.foreach(Iterator.scala:727) scala.collection.AbstractIterator.foreach(Iterator.scala:1157) org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:340) org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:209) org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:184) org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:184) org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1311) org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:183) 14/11/15 22:39:13 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job 14/11/15 22:39:13 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 14/11/15 22:39:13 INFO TaskSchedulerImpl: Cancelling stage 0 14/11/15 22:39:13 INFO DAGScheduler: Failed to run runJob at PythonRDD.scala:296 Traceback (most recent call last): File "", line 1, in File "G:\SparkTest\spark-1.1.0\spark-1.1.0\python\pyspark\mllib\classification.py", line 178, in train return _regression_train_wrapper(sc, train_func, SVMModel, data, initialWeights) File "G:\SparkTest\spark-1.1.0\spark-1.1.0\python\pyspark\mllib\_common.py", line 430, in _regression_train_wrapper initial_weights = _get_initial_weights(initial_weights, data) File "G:\SparkTest\spark-1.1.0\spark-1.1.0\python\pyspark\mllib\_common.py", line 415, in _get_initial_weights initial_weights = _convert_vector(data.first().features) File "G:\SparkTest\spark-1.1.0\spark-1.1.0\python\pyspark\rdd.py", line 1167, in first return self.take(1)[0] File "G:\SparkTest\spark-1.1.0\spark-1.1.0\python\pyspark\rdd.py", line 1153, in take res = self.context.runJob(self, takeUpToNumLeft, p, True) File "G:\SparkTest\spark-1.1.0\spark-1.1.0\python\pyspark\context.py", line 770, in runJob it = self._jvm.PythonRDD.runJob(self._jsc.sc(), mappedRDD._jrdd, javaPartitions, allowLocal) File "G:\SparkTest\spark-1.1.0\spark-1.1.0\python\lib\py4j-0.8.2.1-src.zip\py4j\java_gateway.py", line 538, in __call__ File "G:\SparkTest\spark-1.1.0\spark-1.1.0\python\lib\py4j-0.8.2.1-src.zip\py4j\protocol.py", line 300, in get_return_value py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.runJob. : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, lo host): java.net.SocketException: Connection reset by peer: socket write error java.net.SocketOutputStream.socketWrite0(Native Method) java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:113) java.net.SocketOutputStream.write(SocketOutputStream.java:159) java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82) java.io.BufferedOutputStream.write(BufferedOutputStream.java:126) java.io.DataOutputStream.write(DataOutputStream.java:107) java.io.FilterOutputStream.write(FilterOutputStream.java:97) org.apache.spark.api.python.PythonRDD$.writeUTF(PythonRDD.scala:533) org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$2.apply(PythonRDD.scala:341) org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$2.apply(PythonRDD.scala:340) scala.collection.Iterator$class.foreach(Iterator.scala:727) scala.collection.AbstractIterator.foreach(Iterator.scala:1157) org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:340) org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:209) org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:184) org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:184) org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1311) org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:183) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1185) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1174) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1173) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1173) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:688) at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1391) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) at akka.actor.ActorCell.invoke(ActorCell.scala:456) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) at akka.dispatch.Mailbox.run(Mailbox.scala:219) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386) at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) >>> 14/11/15 23:22:52 INFO BlockManager: Removing broadcast 1 14/11/15 23:22:52 INFO BlockManager: Removing block broadcast_1 14/11/15 23:22:52 INFO MemoryStore: Block broadcast_1 of size 5088 dropped from memory (free 278269788) 14/11/15 23:22:52 INFO ContextCleaner: Cleaned broadcast 1
此致,Mrutyunjay