Python 属性错误：'；元组'；对象没有属性'；从'开始；在Pypark

这是我使用的命令：

test=rdd.filter(lambda line:line.startsWith("I"))
test.take(2) 

当然，rdd已经制造出来了，并且工作得很好。但测试不起作用，并显示以下错误

这个问题看起来很愚蠢，但我不熟悉Pyspark。我通过虚拟机在pyspark中得到了这个错误。有人知道这个错误是什么吗？请给出解决方案。提前谢谢你的帮助

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 24.0 failed 1 times, most recent failure: Lost task 0.0 in stage 24.0 (TID 13, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
  File "/usr/lib/spark/python/pyspark/worker.py", line 101, in main
    process()
  File "/usr/lib/spark/python/pyspark/worker.py", line 96, in process
    serializer.dump_stream(func(split_index, iterator), outfile)
  File "/usr/lib/spark/python/pyspark/serializers.py", line 236, in dump_stream
    vs = list(itertools.islice(iterator, batch))
  File "/usr/lib/spark/python/pyspark/rdd.py", line 1221, in takeUpToNumLeft
    yield next(iterator)
  File "<ipython-input-44-6f0330afa2d7>", line 1, in <lambda>
AttributeError: 'tuple' object has no attribute 'startswith'

    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)

---

从错误中可以看出，

rdd

似乎不是rdd[String]，而是rdd[Tuple]，并且由于您试图应用python字符串函数

startswith

，因此失败

您可以尝试以下方法：

test=rdd.filter（lambda行：行[0][0]。用（“I”）启动）

---

以上内容将过滤您的RDD并返回元组的第一个元素以

I

开头的记录如果您不提供源代码，我们如何理解错误？很抱歉，我将上载它。同时添加一点输入数据，看起来它应该是一个元组，而不是您假设的字符串。现在您已经上传了示例。。您试图实现什么？还要添加用于将文件读入rdd的任何代码。例如，您是否在任何时候调用

split（）

？首先感谢您的响应，但是如果我想在rdd中应用整行呢？我在您的代码上面尝试过，但不幸的是，它无法处理以下错误：error scheduler.LiveListenerBus:Listener EventLoggingListener抛出了一个异常java.lang.reflect.InvocationTargetException该代码段是共享的，假设元组中的第一个元素是字符串。如果它不是字符串元素，它将再次失败。必须将它与字符串元素一起使用。顺便说一句，分享你的输入样本会有帮助。好的，我会上传样本，谢谢你能看到我的文章。

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