Python 带有pyspark.ml.linalg.Vectors的pyspark saveAsSequenceFile

我试图将一个（巨大的）稀疏向量列表保存为一个序列文件，结果出现了错误。下面是一个伪代码：

#用于pyspark外壳
从pyspark.ml.linalg导入向量
rdd=sc.parallelize（[Vectors.sparse（5，{1:1,2:2}），Vectors.sparse（5，{3:3,4:4}）]）
rdd.zipWithIndex（）.saveAssesQuenceFile（“hdfs://master:9000/user/vec.rdd")

16/07/30 09:36:49错误执行者：第2.0阶段（TID 5）任务0.0中出现异常 net.razorvine.pickle.PickleException:构造ClassDict（对于pyspark.ml.linalg.SparseVector）的参数应为零 位于net.razorvine.pickle.objects.ClassDictConstructor.construct（ClassDictConstructor.java:23） net.razorvine.pickle.Unpickler.load\u reduce（Unpickler.java:707） 位于net.razorvine.pickle.Unpickler.dispatch（Unpickler.java:175） 位于net.razorvine.pickle.Unpickler.load（Unpickler.java:99） 加载net.razorvine.pickle.Unpickler.load（Unpickler.java:112） 位于org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply（SerDeUtil.scala:152） 位于org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply（SerDeUtil.scala:151） 位于scala.collection.Iterator$$anon$12.nextCur（Iterator.scala:434） 位于scala.collection.Iterator$$anon$12.hasNext（Iterator.scala:440） 在scala.collection.Iterator$$anon$10.hasNext（Iterator.scala:389） 位于scala.collection.Iterator$class.foreach（Iterator.scala:893） 位于scala.collection.AbstractIterator.foreach（迭代器.scala:1336） 在scala.collection.generic.growtable$class.$plus$plus$eq（growtable.scala:59） 在scala.collection.mutable.ArrayBuffer.$plus$plus$eq（ArrayBuffer.scala:104） 在scala.collection.mutable.ArrayBuffer.$plus$plus$eq（ArrayBuffer.scala:48） 在scala.collection.TraversableOnce$class.to处（TraversableOnce.scala:310） 在scala.collection.AbstractIterator.to（Iterator.scala:1336） 在scala.collection.TraversableOnce$class.toBuffer处（TraversableOnce.scala:302） 位于scala.collection.AbstractIterator.toBuffer（Iterator.scala:1336） 位于scala.collection.TraversableOnce$class.toArray（TraversableOnce.scala:289） 位于scala.collection.AbstractIterator.toArray（Iterator.scala:1336） 在org.apache.spark.rdd.rdd$$anonfun$take$1$$anonfun$29.apply上（rdd.scala:1305） 在org.apache.spark.rdd.rdd$$anonfun$take$1$$anonfun$29.apply上（rdd.scala:1305） 位于org.apache.spark.SparkContext$$anonfun$runJob$5.apply（SparkContext.scala:1897） 位于org.apache.spark.SparkContext$$anonfun$runJob$5.apply（SparkContext.scala:1897） 位于org.apache.spark.scheduler.ResultTask.runTask（ResultTask.scala:70） 位于org.apache.spark.scheduler.Task.run（Task.scala:85） 位于org.apache.spark.executor.executor$TaskRunner.run（executor.scala:274） 位于java.util.concurrent.ThreadPoolExecutor.runWorker（ThreadPoolExecutor.java:1145） 位于java.util.concurrent.ThreadPoolExecutor$Worker.run（ThreadPoolExecutor.java:615） 运行（Thread.java:745） 16/07/30 09:36:49警告TaskSetManager:在阶段2.0中丢失了任务0.0（TID 5，本地主机）：net.razorvine.pickle.pickle异常：构建ClassDict的参数应为零（对于pyspark.ml.linalg.SparseVector） 位于net.razorvine.pickle.objects.ClassDictConstructor.construct（ClassDictConstructor.java:23） net.razorvine.pickle.Unpickler.load\u reduce（Unpickler.java:707） 位于net.razorvine.pickle.Unpickler.dispatch（Unpickler.java:175） 位于net.razorvine.pickle.Unpickler.load（Unpickler.java:99） 加载net.razorvine.pickle.Unpickler.load（Unpickler.java:112） 位于org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply（SerDeUtil.scala:152） 位于org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply（SerDeUtil.scala:151） 位于scala.collection.Iterator$$anon$12.nextCur（Iterator.scala:434） 位于scala.collection.Iterator$$anon$12.hasNext（Iterator.scala:440） 在scala.collection.Iterator$$anon$10.hasNext（Iterator.scala:389） 位于scala.collection.Iterator$class.foreach（Iterator.scala:893） 位于scala.collection.AbstractIterator.foreach（迭代器.scala:1336） 在scala.collection.generic.growtable$class.$plus$plus$eq（growtable.scala:59） 在scala.collection.mutable.ArrayBuffer.$plus$plus$eq（ArrayBuffer.scala:104） 在scala.collection.mutable.ArrayBuffer.$plus$plus$eq（ArrayBuffer.scala:48） 在scala.collection.TraversableOnce$class.to处（TraversableOnce.scala:310） 在scala.collection.AbstractIterator.to（Iterator.scala:1336） 在scala.collection.TraversableOnce$class.toBuffer处（TraversableOnce.scala:302） 位于scala.collection.AbstractIterator.toBuffer（Iterator.scala:1336） 位于scala.collection.TraversableOnce$class.toArray（TraversableOnce.scala:289） 位于scala.collection.AbstractIterator.toArray（Iterator.scala:1336） 在org.apache.spark.rdd.rdd$$anonfun$take$1$$anonfun$29.apply上（rdd.scala:1305） 在org.apache.spark.rdd.rdd$$anonfun$take$1$$anonfun$29.apply上（rdd.scala:1305） 位于org.apache.spark.SparkContext$$anonfun$runJob$5.apply（SparkContext.scala:1897） 位于org.apache.spark.SparkContext$$anonfun$runJob$5.apply（SparkContext.scala:1897） 位于org.apache.spark.scheduler.ResultTask.runTask（ResultTask.scala:70） 位于org.apache.spark.scheduler.Task.run（Task.scala:85） 位于org.apache.spark.executor.executor$TaskRunner.run（executor.scala:274） 位于java.util.concurrent.ThreadPoolExecutor.runWorker（ThreadPoolExecutor.java:1145） 位于java.util.concurrent.ThreadPoolExecutor$Worker.run（ThreadPoolExecutor.java:615） 运行（Thread.java:745） 16/07/30 09:36:49错误TaskSetManager:阶段2.0中的任务0失败1次；中止工作 回溯（最近一次呼叫最后一次）： 文件“”，第1行，在 saveAsSequenceFile中的文件“/home/ubuntu/spark/python/pyspark/rdd.py”，第1450行 路径（压缩类） 文件“/home/ubuntu/spark/python/lib/py4j-0.10.1-src.zip/py4j/java_gateway.py”，第933行，在u调用中__ 文件“/home/ubuntu/spark/python/pyspar 16/07/30 09:36:49 ERROR Executor: Exception in task 0.0 in stage 2.0 (TID 5) net.razorvine.pickle.PickleException: expected zero arguments for construction of ClassDict (for pyspark.ml.linalg.SparseVector) at net.razorvine.pickle.objects.ClassDictConstructor.construct(ClassDictConstructor.java:23) at net.razorvine.pickle.Unpickler.load_reduce(Unpickler.java:707) at net.razorvine.pickle.Unpickler.dispatch(Unpickler.java:175) at net.razorvine.pickle.Unpickler.load(Unpickler.java:99) at net.razorvine.pickle.Unpickler.loads(Unpickler.java:112) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:152) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:151) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:389) at scala.collection.Iterator$class.foreach(Iterator.scala:893) at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310) at scala.collection.AbstractIterator.to(Iterator.scala:1336) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289) at scala.collection.AbstractIterator.toArray(Iterator.scala:1336) at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1305) at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1305) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:85) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) 16/07/30 09:36:49 WARN TaskSetManager: Lost task 0.0 in stage 2.0 (TID 5, localhost): net.razorvine.pickle.PickleException: expected zero arguments for construction of ClassDict (for pyspark.ml.linalg.SparseVector) at net.razorvine.pickle.objects.ClassDictConstructor.construct(ClassDictConstructor.java:23) at net.razorvine.pickle.Unpickler.load_reduce(Unpickler.java:707) at net.razorvine.pickle.Unpickler.dispatch(Unpickler.java:175) at net.razorvine.pickle.Unpickler.load(Unpickler.java:99) at net.razorvine.pickle.Unpickler.loads(Unpickler.java:112) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:152) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:151) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:389) at scala.collection.Iterator$class.foreach(Iterator.scala:893) at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310) at scala.collection.AbstractIterator.to(Iterator.scala:1336) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289) at scala.collection.AbstractIterator.toArray(Iterator.scala:1336) at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1305) at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1305) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:85) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) 16/07/30 09:36:49 ERROR TaskSetManager: Task 0 in stage 2.0 failed 1 times; aborting job Traceback (most recent call last): File "", line 1, in File "/home/ubuntu/spark/python/pyspark/rdd.py", line 1450, in saveAsSequenceFile path, compressionCodecClass) File "/home/ubuntu/spark/python/lib/py4j-0.10.1-src.zip/py4j/java_gateway.py", line 933, in __call__ File "/home/ubuntu/spark/python/pyspark/sql/utils.py", line 63, in deco return f(*a, **kw) File "/home/ubuntu/spark/python/lib/py4j-0.10.1-src.zip/py4j/protocol.py", line 312, in get_return_value py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.saveAsSequenceFile. : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 1 times, most recent failure: Lost task 0.0 in stage 2.0 (TID 5, localhost): net.razorvine.pickle.PickleException: expected zero arguments for construction of ClassDict (for pyspark.ml.linalg.SparseVector) at net.razorvine.pickle.objects.ClassDictConstructor.construct(ClassDictConstructor.java:23) at net.razorvine.pickle.Unpickler.load_reduce(Unpickler.java:707) at net.razorvine.pickle.Unpickler.dispatch(Unpickler.java:175) at net.razorvine.pickle.Unpickler.load(Unpickler.java:99) at net.razorvine.pickle.Unpickler.loads(Unpickler.java:112) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:152) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:151) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:389) at scala.collection.Iterator$class.foreach(Iterator.scala:893) at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310) at scala.collection.AbstractIterator.to(Iterator.scala:1336) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289) at scala.collection.AbstractIterator.toArray(Iterator.scala:1336) at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1305) at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1305) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:85) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1450) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1438) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1437) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1437) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1659) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1618) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1607) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:632) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1871) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1884) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1897) at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1305) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) at org.apache.spark.rdd.RDD.withScope(RDD.scala:358) at org.apache.spark.rdd.RDD.take(RDD.scala:1279) at org.apache.spark.api.python.SerDeUtil$.pythonToPairRDD(SerDeUtil.scala:233) at org.apache.spark.api.python.PythonRDD$.saveAsHadoopFile(PythonRDD.scala:797) at org.apache.spark.api.python.PythonRDD$.saveAsSequenceFile(PythonRDD.scala:772) at org.apache.spark.api.python.PythonRDD.saveAsSequenceFile(PythonRDD.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:237) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:280) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:128) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:211) at java.lang.Thread.run(Thread.java:745) Caused by: net.razorvine.pickle.PickleException: expected zero arguments for construction of ClassDict (for pyspark.ml.linalg.SparseVector) at net.razorvine.pickle.objects.ClassDictConstructor.construct(ClassDictConstructor.java:23) at net.razorvine.pickle.Unpickler.load_reduce(Unpickler.java:707) at net.razorvine.pickle.Unpickler.dispatch(Unpickler.java:175) at net.razorvine.pickle.Unpickler.load(Unpickler.java:99) at net.razorvine.pickle.Unpickler.loads(Unpickler.java:112) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:152) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:151) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:389) at scala.collection.Iterator$class.foreach(Iterator.scala:893) at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310) at scala.collection.AbstractIterator.to(Iterator.scala:1336) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289) at scala.collection.AbstractIterator.toArray(Iterator.scala:1336) at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1305) at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1305) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:85) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) ... 1 more >>> 16/07/30 09:36:49 WARN TaskSetManager: Lost task 2.0 in stage 2.0 (TID 7, localhost): TaskKilled (killed intentionally) Traceback (most recent call last): File "/home/ubuntu/spark/python/pyspark/context.py", line 223, in signal_handler raise KeyboardInterrupt() KeyboardInterrupt >>> rdd.map(lambda x: (0, x)).saveAsSequenceFile("hdfs://master:9000/user/seq.rdd") 16/07/30 09:38:53 ERROR Executor: Exception in task 2.0 in stage 4.0 (TID 11) net.razorvine.pickle.PickleException: expected zero arguments for construction of ClassDict (for pyspark.ml.linalg.SparseVector) at net.razorvine.pickle.objects.ClassDictConstructor.construct(ClassDictConstructor.java:23) at net.razorvine.pickle.Unpickler.load_reduce(Unpickler.java:707) at net.razorvine.pickle.Unpickler.dispatch(Unpickler.java:175) at net.razorvine.pickle.Unpickler.load(Unpickler.java:99) at net.razorvine.pickle.Unpickler.loads(Unpickler.java:112) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:152) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:151) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:389) at scala.collection.Iterator$class.foreach(Iterator.scala:893) at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310) at scala.collection.AbstractIterator.to(Iterator.scala:1336) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289) at scala.collection.AbstractIterator.toArray(Iterator.scala:1336) at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1305) at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1305) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:85) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) 16/07/30 09:38:53 WARN TaskSetManager: Lost task 2.0 in stage 4.0 (TID 11, localhost): net.razorvine.pickle.PickleException: expected zero arguments for construction of ClassDict (for pyspark.ml.linalg.SparseVector) at net.razorvine.pickle.objects.ClassDictConstructor.construct(ClassDictConstructor.java:23) at net.razorvine.pickle.Unpickler.load_reduce(Unpickler.java:707) at net.razorvine.pickle.Unpickler.dispatch(Unpickler.java:175) at net.razorvine.pickle.Unpickler.load(Unpickler.java:99) at net.razorvine.pickle.Unpickler.loads(Unpickler.java:112) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:152) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:151) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:389) at scala.collection.Iterator$class.foreach(Iterator.scala:893) at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310) at scala.collection.AbstractIterator.to(Iterator.scala:1336) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289) at scala.collection.AbstractIterator.toArray(Iterator.scala:1336) at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1305) at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1305) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:85) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) 16/07/30 09:38:53 ERROR TaskSetManager: Task 2 in stage 4.0 failed 1 times; aborting job 16/07/30 09:38:53 WARN TaskSetManager: Lost task 0.0 in stage 4.0 (TID 9, localhost): TaskKilled (killed intentionally) Traceback (most recent call last): File "", line 1, in File "/home/ubuntu/spark/python/pyspark/rdd.py", line 1450, in saveAsSequenceFile path, compressionCodecClass) File "/home/ubuntu/spark/python/lib/py4j-0.10.1-src.zip/py4j/java_gateway.py", line 933, in __call__ File "/home/ubuntu/spark/python/pyspark/sql/utils.py", line 63, in deco return f(*a, **kw) File "/home/ubuntu/spark/python/lib/py4j-0.10.1-src.zip/py4j/protocol.py", line 312, in get_return_value py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.saveAsSequenceFile. : org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 4.0 failed 1 times, most recent failure: Lost task 2.0 in stage 4.0 (TID 11, localhost): net.razorvine.pickle.PickleException: expected zero arguments for construction of ClassDict (for pyspark.ml.linalg.SparseVector) at net.razorvine.pickle.objects.ClassDictConstructor.construct(ClassDictConstructor.java:23) at net.razorvine.pickle.Unpickler.load_reduce(Unpickler.java:707) at net.razorvine.pickle.Unpickler.dispatch(Unpickler.java:175) at net.razorvine.pickle.Unpickler.load(Unpickler.java:99) at net.razorvine.pickle.Unpickler.loads(Unpickler.java:112) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:152) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:151) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:389) at scala.collection.Iterator$class.foreach(Iterator.scala:893) at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310) at scala.collection.AbstractIterator.to(Iterator.scala:1336) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289) at scala.collection.AbstractIterator.toArray(Iterator.scala:1336) at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1305) at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1305) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:85) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1450) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1438) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1437) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1437) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1659) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1618) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1607) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:632) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1871) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1884) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1897) at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1305) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) at org.apache.spark.rdd.RDD.withScope(RDD.scala:358) at org.apache.spark.rdd.RDD.take(RDD.scala:1279) at org.apache.spark.api.python.SerDeUtil$.pythonToPairRDD(SerDeUtil.scala:233) at org.apache.spark.api.python.PythonRDD$.saveAsHadoopFile(PythonRDD.scala:797) at org.apache.spark.api.python.PythonRDD$.saveAsSequenceFile(PythonRDD.scala:772) at org.apache.spark.api.python.PythonRDD.saveAsSequenceFile(PythonRDD.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:237) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:280) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:128) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:211) at java.lang.Thread.run(Thread.java:745) Caused by: net.razorvine.pickle.PickleException: expected zero arguments for construction of ClassDict (for pyspark.ml.linalg.SparseVector) at net.razorvine.pickle.objects.ClassDictConstructor.construct(ClassDictConstructor.java:23) at net.razorvine.pickle.Unpickler.load_reduce(Unpickler.java:707) at net.razorvine.pickle.Unpickler.dispatch(Unpickler.java:175) at net.razorvine.pickle.Unpickler.load(Unpickler.java:99) at net.razorvine.pickle.Unpickler.loads(Unpickler.java:112) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:152) at org.apache.spark.api.python.SerDeUtil$$anonfun$pythonToJava$1$$anonfun$apply$1.apply(SerDeUtil.scala:151) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:389) at scala.collection.Iterator$class.foreach(Iterator.scala:893) at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310) at scala.collection.AbstractIterator.to(Iterator.scala:1336) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289) at scala.collection.AbstractIterator.toArray(Iterator.scala:1336) at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1305) at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1305) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:85) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) ... 1 more

class Foo(object):
    def __init__(self, x):
        self.x = x

foo = Foo(1)

{'__class__': 'foo.Foo', 'x': 1}

import scala.collection.mutable.Map
import scala.collection.JavaConverters.mapAsJavaMapConverter

Map[String, Any]("__class__" -> "foo.Foo", "x" -> 1).asJava

rdd.zipWithIndex().toDF().write.parquet(...)