我是一个非常新兴的节目。我正在尝试使用15个字段实现map和reduceByKey到以下数据集。
rdd=sc.parallelize([
("West", "Apple", 2.0, 10,2.0, 10,2.0, 10,2.0, 10,2.0, 10,2.0,2.0, 10),
("West", "Apple", 3.0, 10,2.0, 10,2.0, 10,2.0, 10,2.0, 10,2.0, 10,2.0])
这是我的地图功能，我正在尝试创建一个包含多个键和值的元组
rdd1 = rdd.map(lambda x: ((x[0],x[1]),(x[2],x[3],x[4],x[5],x[6],x[7],x[8],x[9],x[10],x[11],x[12],x[13],x[14])))
下一步我正在尝试reduceByKey（在上面的元组中的值上实现像聚合这样的sql）
rdd2 = rdd1.reduceByKey(lambda x,y: (x[1]+','+y[1]))
此reduce函数按元组索引值0-4的预期工作，但是当我尝试元组索引值5-14时，我得到了IndexError。
rdd2 = rdd1.reduceByKey(lambda x,y: (x[10]+','+y[10]))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/opt/spark/python/pyspark/rdd.py", line 1277, in take
res = self.context.runJob(self, takeUpToNumLeft, p, True)
File "/opt/spark/python/pyspark/context.py", line 897, in runJob
allowLocal)
File "/opt/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in __call__
File "/opt/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value
py4j.protocol.Py4JJavaError15/08/28 01:23:22 WARN TaskSetManager: Lost task 1.0 in stage 78.0 (TID 91, localhost): TaskKilled (killed intentionally)
: 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 78.0 failed 1 times, most recent failure: Lost task 0.0 in stage 78.0 (TID 90, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/opt/spark/python/lib/pyspark.zip/pyspark/worker.py", line 111, in main
process()
File "/opt/spark/python/lib/pyspark.zip/pyspark/worker.py", line 106, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/opt/spark/python/pyspark/rdd.py", line 2330, in pipeline_func
return func(split, prev_func(split, iterator))
File "/opt/spark/python/pyspark/rdd.py", line 2330, in pipeline_func
return func(split, prev_func(split, iterator))
File "/opt/spark/python/pyspark/rdd.py", line 316, in func
return f(iterator)
File "/opt/spark/python/pyspark/rdd.py", line 1758, in combineLocally
merger.mergeValues(iterator)
File "/opt/spark/python/lib/pyspark.zip/pyspark/shuffle.py", line 268, in mergeValues
d[k] = comb(d[k], v) if k in d else creator(v)
File "<stdin>", line 1, in <lambda>
IndexError: string index out of range
at org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:138)
at org.apache.spark.api.python.PythonRDD$$anon$1.<init>(PythonRDD.scala:179)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:97)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.api.python.PairwiseRDD.compute(PythonRDD.scala:315)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:70)
at org.apache.spark.scheduler.Task.run(Task.scala:70)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:895)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:918)
at java.lang.Thread.run(Thread.java:695)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1273)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1264)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1263)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1263)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:730)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1457)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1418)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
这看起来非常非常重要。我不确定这个错误是因为我的机器的硬件还是我的reduce函数的实现或者与spark有关。
感谢任何形式的帮助。
答案 0 :(得分：0)
File "<stdin>", line 1, in <lambda> IndexError: string index out of range
lambda函数中发生错误。您拥有的序列类型（元组，列表，字符串）与您编写函数所需的元素数量不同。