求指导python spark读入文件不能正常载入的原因，pythonspark,想尝试着处理一下文本，结

求指导python spark读入文件不能正常载入的原因，pythonspark,想尝试着处理一下文本，结

想尝试着处理一下文本，结果都载入不进来。。。
文件路径肯定没问题
求大神指教

fileName = "file:///Users/liuchong/Desktop/Animal Farm.txt"liuDF = sqlContext.read.text(fileName).select('value')print type(liuDF)liuDF.show()

报错：

---------------------------------------------------------------------------Py4JJavaError                             Traceback (most recent call last) in ()      5 liuDF = sqlContext.read.text(fileName).select('value')      6 print type(liuDF)----> 7 liuDF.show()      8 #print liuDF.count()      9 def removePunctuation(column):/databricks/spark/python/pyspark/sql/dataframe.py in show(self, n, truncate)    255         +---+-----+    256         """--> 257         print(self._jdf.showString(n, truncate))    258     259     def __repr__(self):/databricks/spark/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py in __call__(self, *args)    811         answer = self.gateway_client.send_command(command)    812         return_value = get_return_value(--> 813             answer, self.gateway_client, self.target_id, self.name)    814     815         for temp_arg in temp_args:/databricks/spark/python/pyspark/sql/utils.py in deco(*a, **kw)     43     def deco(*a, **kw):     44         try:---> 45             return f(*a, **kw)     46         except py4j.protocol.Py4JJavaError as e:     47             s = e.java_exception.toString()/databricks/spark/python/lib/py4j-0.9-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)    306                 raise Py4JJavaError(    307                     "An error occurred while calling {0}{1}{2}.\n".--> 308                     format(target_id, ".", name), value)    309             else:    310                 raise Py4JError(Py4JJavaError: An error occurred while calling o77.showString.: java.io.IOException: No input paths specified in job    at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:156)    at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:208)    at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:199)    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)    at scala.Option.getOrElse(Option.scala:120)    at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)    at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)    at scala.Option.getOrElse(Option.scala:120)    at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)    at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)    at scala.Option.getOrElse(Option.scala:120)at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)    at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)    at scala.Option.getOrElse(Option.scala:120)    at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)    at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:190)    at org.apache.spark.sql.execution.Limit.executeCollect(basicOperators.scala:165)    at org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:174)    at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute$1$1.apply(DataFrame.scala:1499)    at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute$1$1.apply(DataFrame.scala:1499)    at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)    at org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:2086)    at org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$execute$1(DataFrame.scala:1498)    at org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$collect(DataFrame.scala:1505)    at org.apache.spark.sql.DataFrame$$anonfun$head$1.apply(DataFrame.scala:1375)    at org.apache.spark.sql.DataFrame$$anonfun$head$1.apply(DataFrame.scala:1374)    at org.apache.spark.sql.DataFrame.withCallback(DataFrame.scala:2099)    at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1374)    at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1456)at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:170)    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:497)    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)    at py4j.Gateway.invoke(Gateway.java:259)    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)    at py4j.commands.CallCommand.execute(CallCommand.java:79)    at py4j.GatewayConnection.run(GatewayConnection.java:209)    at java.lang.Thread.run(Thread.java:745)

 No input paths specified in job

编橙之家文章，