我正在使用PySpark进行一些简单的转换，并且不断碰到 'bool'对象是不可调用的 错误。 Spark版本是1.3.0。
我在其他一些地方（例如here和here）遇到了这个问题，但是建议似乎只是为了验证主要的python版本在驱动程序和工作人员，我已经完成了（每个都是一个带有python版本2.7.10的Anaconda发行版）。
为了调试这个，我一直在使用存储在HDFS中的虹膜数据集：
data = sc.textFile("/path/to/iris.csv")
data.count() # works fine, returns 150
data.map(lambda x: x[:2]) # just subsets the string, works fine
data.map(lambda x: x.split(',')) # throws error below
这些（显然）在调用.collect()，.take()，.count()时失败，并且评估了地图调用。所以，我基本上正在寻找任何进一步的想法/事情来尝试正确配置。
15/09/28 17:55:08 INFO YarnScheduler: Removed TaskSet 14.0, whose tasks have all completed, from pool:
An error occurred while calling o135.collect.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 14.0 failed 4 times, most recent failure: Lost task 1.3 in stage 14.0: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/opt/cloudera/parcels/CDH-5.4.5-1.cdh5.4.5.p0.7/jars/spark-assembly-1.3.0-cdh5.4.5-hadoop2.6.0-cdh5.4.5.jar/pyspark/worker.py", line 101, in main
process()
File "/opt/cloudera/parcels/CDH-5.4.5-1.cdh5.4.5.p0.7/jars/spark-assembly-1.3.0-cdh5.4.5-hadoop2.6.0-cdh5.4.5.jar/pyspark/worker.py", line 96, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/opt/cloudera/parcels/CDH-5.4.5-1.cdh5.4.5.p0.7/lib/spark/python/pyspark/rdd.py", line 2253, in pipeline_func
return func(split, prev_func(split, iterator))
File "/opt/cloudera/parcels/CDH-5.4.5-1.cdh5.4.5.p0.7/lib/spark/python/pyspark/rdd.py", line 2253, in pipeline_func
return func(split, prev_func(split, iterator))
File "/opt/cloudera/parcels/CDH-5.4.5-1.cdh5.4.5.p0.7/lib/spark/python/pyspark/rdd.py", line 2253, in pipeline_func
return func(split, prev_func(split, iterator))
File "/opt/cloudera/parcels/CDH-5.4.5-1.cdh5.4.5.p0.7/lib/spark/python/pyspark/rdd.py", line 270, in func
return f(iterator)
File "/opt/cloudera/parcels/CDH-5.4.5-1.cdh5.4.5.p0.7/lib/spark/python/pyspark/rdd.py", line 933, in <lambda>
return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
File "/opt/cloudera/parcels/CDH-5.4.5-1.cdh5.4.5.p0.7/lib/spark/python/pyspark/rdd.py", line 933, in <genexpr>
return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
File "<stdin>", line 1, in <lambda>
**TypeError: 'bool' object is not callable**
at org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:135)
at org.apache.spark.api.python.PythonRDD$$anon$1.<init>(PythonRDD.scala:176)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:94)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
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$$failJobAndIndependentStages(DAGScheduler.scala:1203)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1192)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1191)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1191)
at org.apache.spark.scheduler.DAGScheduler$$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)