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java:0 >>> r = sc.textFile("~/Desktop/heimao.md") >>> r.take(1) Traceback (most recent call last): File "<stdin>", line 1, in <module> 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) |
原因:
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text = sc.textFile("shakespeare.txt") |
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
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text = sc.textFile("file:///root/shakespeare.txt") |
支付宝扫一扫
