我在Pyspark尝试了一个简单的右外角。我尝试加入的数据集如下
temp1.take(5)
缺货[138]：
[u'tube_assembly_id,component_id_1,quantity_1,component_id_2,quantity_2,component_id_3,quantity_3,component_id_4,quantity_4,component_id_5,quantity_5,component_id_6,quantity_6,component_id_7,quantity_7,component_id_8,quantity_8',
u'TA-00001,C-1622,2,C-1629,2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA',
u'TA-00002,C-1312,2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA',
u'TA-00003,C-1312,2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA',
u'TA-00004,C-1312,2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA']
In [139]:
temp2.take(5)
Out[139]:
[u'tube_assembly_id,spec1,spec2,spec3,spec4,spec5,spec6,spec7,spec8,spec9,spec10',
u'TA-00001,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA',
u'TA-00002,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA',
u'TA-00003,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA',
u'TA-00004,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA']
join命令如下
在[140]中：
temp4 = temp1.rightOuterJoin(temp2)
temp4
Out[140]:
PythonRDD[191] at RDD at PythonRDD.scala:43
但是，当我尝试执行任何操作时，如
temp4.take(4)或temp4.count()我收到如下所列的长错误
Py4JJavaError Traceback (most recent call last)
<ipython-input-141-3372dfa2c550> in <module>()
----> 1 temp4.take(5)
/usr/local/bin/spark-1.3.1-bin-hadoop2.6/python/pyspark/rdd.py in take(self, num)
1222
1223 p = range(partsScanned, min(partsScanned + numPartsToTry, totalParts))
-> 1224 res = self.context.runJob(self, takeUpToNumLeft, p, True)
1225
1226 items += res
/usr/local/bin/spark-1.3.1-bin-hadoop2.6/python/pyspark/context.py in runJob(self, rdd, partitionFunc, partitions, allowLocal)
840 mappedRDD = rdd.mapPartitions(partitionFunc)
841 port = self._jvm.PythonRDD.runJob(self._jsc.sc(), mappedRDD._jrdd, javaPartitions,
--> 842 allowLocal)
843 return list(_load_from_socket(port, mappedRDD._jrdd_deserializer))
844
/usr/local/bin/spark-1.3.1-bin-hadoop2.6/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py in __call__(self, *args)
536 answer = self.gateway_client.send_command(command)
537 return_value = get_return_value(answer, self.gateway_client,
--> 538 self.target_id, self.name)
539
540 for temp_arg in temp_args:
/usr/local/bin/spark-1.3.1-bin-hadoop2.6/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
298 raise Py4JJavaError(
299 'An error occurred while calling {0}{1}{2}.\n'.
--> 300 format(target_id, '.', name), value)
301 else:
302 raise Py4JError(
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 74.0 failed 1 times, most recent failure: Lost task 0.0 in stage 74.0 (TID 78, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/usr/local/bin/spark-1.3.1-bin-hadoop2.6/python/pyspark/worker.py", line 101, in main
process()
File "/usr/local/bin/spark-1.3.1-bin-hadoop2.6/python/pyspark/worker.py", line 96, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/usr/local/bin/spark-1.3.1-bin-hadoop2.6/python/pyspark/serializers.py", line 236, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "/usr/local/bin/spark-1.3.1-bin-hadoop2.6/python/pyspark/rdd.py", line 1806, in <lambda>
map_values_fn = lambda (k, v): (k, f(v))
ValueError: too many values to unpack
at org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:135)
at org.apache.spark.api.python.PythonRDD$$anon$1.<init>(PythonRDD.scala:176)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:94)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:87)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:243)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1618)
at org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:205)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1204)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1193)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1192)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1192)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:693)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1393)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1354)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
对此表示感谢。我是Pyspark的新手