我是新手，在将.csv文件转换为数据帧时遇到错误。我正在使用pyspark_csv模块进行转换，但是给出了错误，这里是错误的堆栈跟踪，可以任何一个给我建议解决此错误
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Py4JJavaError Traceback (most recent call last)
<ipython-input-16-67fe725a8e27> in <module>()
----> 1 data_df = pycsv.csvToDataFrame(sqlCtx, data_body, sep=",", columns=data_header.split('\t')).cache()
/usr/spark-1.5.0/python/pyspark_csv.py in csvToDataFrame(sqlCtx, rdd, columns, sep, parseDate)
51 rdd_sql = rdd_array.zipWithIndex().filter(
52 lambda r_i: r_i[1] > 0).keys()
---> 53 column_types = evaluateType(rdd_sql, parseDate)
54
55 def toSqlRow(row):
/usr/spark-1.5.0/python/pyspark_csv.py in evaluateType(rdd_sql, parseDate)
177 def evaluateType(rdd_sql, parseDate):
178 if parseDate:
--> 179 return rdd_sql.map(getRowType).reduce(reduceTypes)
180 else:
181 return rdd_sql.map(getRowTypeNoDate).reduce(reduceTypes)
/usr/spark-1.5.0/python/pyspark/rdd.py in reduce(self, f)
797 yield reduce(f, iterator, initial)
798
--> 799 vals = self.mapPartitions(func).collect()
800 if vals:
801 return reduce(f, vals)
/usr/spark-1.5.0/python/pyspark/rdd.py in collect(self)
771 """
772 with SCCallSiteSync(self.context) as css:
--> 773 port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
774 return list(_load_from_socket(port, self._jrdd_deserializer))
775
/usr/spark-1.5.0/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/spark-1.5.0/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.collectAndServe.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 10.0 failed 1 times, most recent failure: Lost task 0.0 in stage 10.0 (TID 20, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/usr/spark-1.5.0/python/lib/pyspark.zip/pyspark/worker.py", line 111, in main
process()
File "/usr/spark-1.5.0/python/lib/pyspark.zip/pyspark/worker.py", line 106, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/usr/spark-1.5.0/python/lib/pyspark.zip/pyspark/serializers.py", line 263, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "/usr/spark-1.5.0/python/pyspark/rdd.py", line 797, in func
yield reduce(f, iterator, initial)
File "/tmp/spark-d85b88bf-e4a4-46b8-8b51-eaf0f03e48ab/userFiles-40f9eb34-4efa-4ffb-aaf5-ebcb24a4ecb9/pyspark_csv.py", line 160, in reduceTypes
b_type = b[col]
IndexError: list 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$1.<init>(PythonRDD.scala:179)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:97)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
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$$failJobAndIndependentStages(DAGScheduler.scala:1280)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1268)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1267)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1267)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1493)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1455)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1444)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1813)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1826)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1839)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1910)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:905)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:306)
at org.apache.spark.rdd.RDD.collect(RDD.scala:904)
at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:373)
at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
at py4j.Gateway.invoke(Gateway.java:259)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/usr/spark-1.5.0/python/lib/pyspark.zip/pyspark/worker.py", line 111, in main
process()
File "/usr/spark-1.5.0/python/lib/pyspark.zip/pyspark/worker.py", line 106, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/usr/spark-1.5.0/python/lib/pyspark.zip/pyspark/serializers.py", line 263, in dump_stream
vs = list(itertools.islice(iterator, batch))
File "/usr/spark-1.5.0/python/pyspark/rdd.py", line 797, in func
yield reduce(f, iterator, initial)
File "/tmp/spark-d85b88bf-e4a4-46b8-8b51-eaf0f03e48ab/userFiles-40f9eb34-4efa-4ffb-aaf5-ebcb24a4ecb9/pyspark_csv.py", line 160, in reduceTypes
b_type = b[col]
IndexError: list index out of range
at org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:138)
at org.apache.spark.api.python.PythonRDD$$anon$1.<init>(PythonRDD.scala:179)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:97)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
... 1 more这是我的代码，最后声明它在从csv转换为dataframe时发出此错误
import findspark
findspark.init()
findspark.find()
import pyspark
sc=pyspark.SparkContext(appName="myAppName")
sqlCtx = pyspark.SQLContext
#csv to dataframe
sc.addPyFile('/usr/spark-1.5.0/python/pyspark_csv.py')
import pyspark_csv as pycsv
def skip_header(idx, iterator):
if(idx == 0):
next(iterator)
return iterator
data=sc.textFile('gdeltdata/20160427.CSV')
data_header = data.first()
data_body = data.mapPartitionsWithIndex(skip_header)
data_df = pycsv.csvToDataFrame(sqlCtx, data_body, sep=",", columns=data_header.split('\t'))我实际上无法发表评论，但是，如果没有任何代码，我将不得不猜测您正在尝试引用一个在存在的字符串上不存在的索引 - 这与执行以下操作相同：
string = 'hello'
new_char = string[6]
这会尝试在5个字母的字符串上找到第7个字母 - 这会带来以下错误：
IndexError: string index out of range
由于我没有看到导致该错误的代码，所以我能够提供有关您的问题的全部内容。