我是Spark的新手并探索其功能。我正在构建使用networkx库的算法，并且我试图为networkx变量创建广播变量。
我的网络x看起来像这样：
import networkx as nx
G = nx.read_edgelist(path="data.txt", create_using=nx.Graph(), nodetype=int)
我有广播变量：
Gbc = sc.broadcast(G)
我的简单方法将分布在spark集群中？，如下所示：
def getEgoGraphNodes(u):
return Gbc.value.neighbors(u)
然后，当我做我的地图时：
vertices=set(G) #list vertices
verticeRDD = sc.parallelize(vertices) #create RDD
verticeRDD.map(lambda x: getEgoGraphNodes(x)).collect()
我收到以下错误:(虽然我在工作人员上安装了networkx库）
17/05/22 00:06:11 WARN TaskSetManager: Lost task 0.0 in stage 2.0 (TID 31, 192.168.100.9, executor 1): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/usr/local/spark/2.1.0/python/lib/pyspark.zip/pyspark/worker.py", line 174, in main
process()
File "/usr/local/spark/2.1.0/python/lib/pyspark.zip/pyspark/worker.py", line 169, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/usr/local/spark/2.1.0/python/lib/pyspark.zip/pyspark/serializers.py", line 268, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "<stdin>", line 1, in <lambda>
File "<stdin>", line 2, in getEgoGraphNodes
File "/usr/local/spark/2.1.0/python/lib/pyspark.zip/pyspark/broadcast.py", line 106, in value
self._value = self.load(self._path)
File "/usr/local/spark/2.1.0/python/lib/pyspark.zip/pyspark/broadcast.py", line 97, in load
return pickle.load(f)
ImportError: No module named 'networkx'
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:193)
at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:234)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:152)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
17/05/22 00:06:11 ERROR TaskSetManager: Task 2 in stage 2.0 failed 4 times; aborting job
17/05/22 00:06:12 WARN TaskSetManager: Lost task 1.2 in stage 2.0 (TID 43, 192.168.100.9, executor 0): TaskKilled (killed intentionally)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/spark/2.1.0/python/pyspark/rdd.py", line 809, in collect
port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
File "/usr/local/spark/2.1.0/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__
File "/usr/local/spark/2.1.0/python/pyspark/sql/utils.py", line 63, in deco
return f(*a, **kw)
File "/usr/local/spark/2.1.0/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 2.0 failed 4 times, most recent failure: Lost task 2.3 in stage 2.0 (TID 42, 192.168.100.9, executor 1): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/usr/local/spark/2.1.0/python/lib/pyspark.zip/pyspark/worker.py", line 174, in main
process()
File "/usr/local/spark/2.1.0/python/lib/pyspark.zip/pyspark/worker.py", line 169, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/usr/local/spark/2.1.0/python/lib/pyspark.zip/pyspark/serializers.py", line 268, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "<stdin>", line 1, in <lambda>
File "<stdin>", line 2, in getEgoGraphNodes
File "/usr/local/spark/2.1.0/python/lib/pyspark.zip/pyspark/broadcast.py", line 106, in value
self._value = self.load(self._path)
File "/usr/local/spark/2.1.0/python/lib/pyspark.zip/pyspark/broadcast.py", line 97, in load
return pickle.load(f)
ImportError: No module named 'networkx'
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:193)
at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:234)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:152)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1918)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1931)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1944)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1958)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:935)
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:362)
at org.apache.spark.rdd.RDD.collect(RDD.scala:934)
at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:453)
at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:280)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/usr/local/spark/2.1.0/python/lib/pyspark.zip/pyspark/worker.py", line 174, in main
process()
File "/usr/local/spark/2.1.0/python/lib/pyspark.zip/pyspark/worker.py", line 169, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/usr/local/spark/2.1.0/python/lib/pyspark.zip/pyspark/serializers.py", line 268, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "<stdin>", line 1, in <lambda>
File "<stdin>", line 2, in getEgoGraphNodes
File "/usr/local/spark/2.1.0/python/lib/pyspark.zip/pyspark/broadcast.py", line 106, in value
self._value = self.load(self._path)
File "/usr/local/spark/2.1.0/python/lib/pyspark.zip/pyspark/broadcast.py", line 97, in load
return pickle.load(f)
ImportError: No module named 'networkx'
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:193)
at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:234)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:152)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
... 1 more
>>> 17/05/22 00:06:12 WARN TaskSetManager: Lost task 3.2 in stage 2.0 (TID 41, 192.168.100.9, executor 0): TaskKilled (killed intentionally)
17/05/22 00:06:12 WARN TaskSetManager: Lost task 0.3 in stage 2.0 (TID 44, 192.168.100.9, executor 1): TaskKilled (killed intentionally)
enter code here