PY4JJavaError：调用z:org.apache.spark.api.python.pythonrdd.runjob时出错

Question

我在运行Python 3.6.5的Jupyter笔记本和运行3.7.2的Python shell中出现了这个错误。我的操作系统是Windows10。我在这两种环境中都安装了pip pyspark。两者都使用Spark Version2.4.0，而我的Java JDK是Oracle JDK Version8，JDK1.8.0_201。这是我在这两种情况下运行的代码：

>>> from pyspark import SparkConf, SparkContext
>>> conf = SparkConf().setAppName("app")
>>> sc = SparkContext(conf=conf)
>>> import os

>>> os.chdir("C:/Users/theca/Desktop/school_folders/Big Data")
>>> data = sc.textFile("post_codes.txt")
>>> data.take(1)

成功：保存了指定的值。

C:\program files\java\jdk1.8.0_201>setx路径“%PATH%；%java_home%\bin”；

警告：保存的数据被截断为1024个字符。

这里：Spyder中的PySpark：SparkContext定义引发Java网关错误

以及本板中的其他几个答案。我想知道是否需要使用Spark的早期版本？以下是错误消息的全部内容：

Traceback (most recent call last):
  File "<pyshell#9>", line 1, in <module>
    data.take(1)
  File "C:\Python\Python37\lib\site-packages\pyspark\rdd.py", line 1327, in take
    totalParts = self.getNumPartitions()
  File "C:\Python\Python37\lib\site-packages\pyspark\rdd.py", line 391, in getNumPartitions
    return self._jrdd.partitions().size()
  File "C:\Python\Python37\lib\site-packages\py4j\java_gateway.py", line 1257, in __call__
    answer, self.gateway_client, self.target_id, self.name)
  File "C:\Python\Python37\lib\site-packages\py4j\protocol.py", line 328, in get_return_value
    format(target_id, ".", name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling o20.partitions.
: org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: file:/C:/Python/Python37/post_codes.txt

at org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:287)

at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:229)

at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:315)

at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:204)

at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)

at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)

at scala.Option.getOrElse(Option.scala:121)

at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)

at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)

at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)

at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)

at scala.Option.getOrElse(Option.scala:121)

at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)

at org.apache.spark.api.java.JavaRDDLike$class.partitions(JavaRDDLike.scala:61)

at org.apache.spark.api.java.AbstractJavaRDDLike.partitions(JavaRDDLike.scala:45)

at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)

at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)

at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)

at java.lang.reflect.Method.invoke(Method.java:498)

at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)

at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)

at py4j.Gateway.invoke(Gateway.java:282)

at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)

at py4j.commands.CallCommand.execute(CallCommand.java:79)

at py4j.GatewayConnection.run(GatewayConnection.java:238)

at java.lang.Thread.run(Thread.java:748)

Answer 1

尝试以下操作：

data = sc.textFile("file:///path to the file/")

这应该管用。