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[英]py4j.protocol.Py4JJavaError occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe
[英]Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.runJob
我在運行Python 3.6.5的Jupyter筆記本和運行3.7.2的Python Shell中遇到此錯誤。 我的操作系統是Windows10。我在這兩種環境中都安裝了pippark pyspark。 兩者都使用Spark版本2.4.0,而我的Java JDK是Oracle JDK版本8,jdk1.8.0_201。 這是我在兩種情況下都運行的代碼:
>>> 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)
我正在使用JRE版本8,並驗證了JAVA_HOME:
C:\\Python\\Python37\\Scripts>echo %JAVA_HOME%
C:\\ProgramData\\Oracle\\Java\\javapath\\java.exe
我改用JDK認為可以解決此問題:
C:\\Program Files\\Java\\jdk1.8.0_201>setx JAVA_HOME "C:\\Program Files\\Java\\jdk1.8.0_201"
SUCCESS: Specified value was saved.
C:\\Program Files\\Java\\jdk1.8.0_201>setx PATH "%PATH%;%JAVA_HOME%\\bin";
WARNING: The data being saved is truncated to 1024 characters.
我退出了cmd,然后返回,驗證了我的Java主頁:
C:\\WINDOWS\\system32>echo %JAVA_HOME% C:\\Program Files\\Java\\jdk1.8.0_201
我在這里嘗試過解決方案: PySpark異常:Java網關進程在發送其端口號之前已退出
此處: Pyspark:Spyder中的SparkContext定義引發Java網關錯誤
以及此板上的其他一些答案。我想知道是否需要使用早期版本的spark? 這是整個錯誤消息:
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)
請嘗試以下操作:
data = sc.textFile("file:///path to the file/")
這應該工作。
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