spark 报错 py4j.protocol.Py4JJavaError错误
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java:0
>>> r = sc.textFile("~/Desktop/heimao.md")
>>> r.take(1)
Traceback (most recent call last):
File "
File "/Users/songhao/apps/spark-2.3.1-bin-hadoop2.7/python/pyspark/rdd.py", line 1345, in take
totalParts = self.getNumPartitions()
File "/Users/songhao/apps/spark-2.3.1-bin-hadoop2.7/python/pyspark/rdd.py", line 409, in getNumPartitions
return self._jrdd.partitions().size()
File "/Users/songhao/apps/spark-2.3.1-bin-hadoop2.7/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
File "/Users/songhao/apps/spark-2.3.1-bin-hadoop2.7/python/pyspark/sql/utils.py", line 63, in deco
return f(*a, **kw)
File "/Users/songhao/apps/spark-2.3.1-bin-hadoop2.7/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o32.partitions.
: org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: file:/Users/songhao/Desktop/demo/log_168/~/Desktop/heimao.md
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:200)
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:35)
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:745)
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原因:
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text = sc.textFile("shakespeare.txt")
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spark 读取本地文件
spark默认去hdfs寻找，然而我的放在本地，应该改为：
默认是从hdfs读取文件，也可以指定sc.textFile("路径").在路径前面加上hdfs://表示从hdfs文件系统上读
本地文件读取 sc.textFile("路径").在路径前面加上file:// 表示从本地文件系统读，如file:///home/user/spark/README.md
text = sc.textFile("file:///root/shakespeare.txt")
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text = sc.textFile("file:///root/shakespeare.txt")
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