Error將mllib示例數據加載到PySpark中

嘗試將一些示例數據加載到PySpark for Spark 1.3.0的RandomForests的MLlib示例中，並在下面獲取錯誤。我是MLlib的新手，不確定如何進一步檢查這個錯誤。Error將mllib示例數據加載到PySpark中

代碼：https://spark.apache.org/docs/1.3.0/mllib-ensembles.html

錯誤：

data = MLUtils.loadLibSVMFile(sc, "data/mllib/sample_libsvm_data.txt") 
15/10/28 15:46:27 INFO storage.MemoryStore: ensureFreeSpace(100612) called with curMem=213451, maxMem=278302556 
15/10/28 15:46:27 INFO storage.MemoryStore: Block broadcast_1 stored as values in memory (estimated size 98.3 KB, free 265.1 MB) 
15/10/28 15:46:28 INFO storage.MemoryStore: ensureFreeSpace(22935) called with curMem=314063, maxMem=278302556 
15/10/28 15:46:28 INFO storage.MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 22.4 KB, free 265.1 MB) 
15/10/28 15:46:28 INFO storage.BlockManagerInfo: Added broadcast_1_piece0 in memory on localhost:43188 (size: 22.4 KB, free: 265.4 MB) 
15/10/28 15:46:28 INFO storage.BlockManagerMaster: Updated info of block broadcast_1_piece0 
15/10/28 15:46:28 INFO spark.SparkContext: Created broadcast 1 from textFile at NativeMethodAccessorImpl.java:-2 
Traceback (most recent call last): 
    File "<stdin>", line 1, in <module> 
    File "/usr/lib/spark/python/pyspark/mllib/util.py", line 120, in loadLibSVMFile 
    numFeatures = parsed.map(lambda x: -1 if x[1].size == 0 else x[1][-1]).reduce(max) + 1 
    File "/usr/lib/spark/python/pyspark/rdd.py", line 740, in reduce 
    vals = self.mapPartitions(func).collect() 
    File "/usr/lib/spark/python/pyspark/rdd.py", line 701, in collect 
    bytesInJava = self._jrdd.collect().iterator() 
    File "/usr/lib/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in __call__ 
    File "/usr/lib/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value 
py4j.protocol.Py4JJavaError: An error occurred while calling o49.collect. 
: org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: hdfs://nameservice1/user/aowens/data/mllib/sample_libsvm_data.txt 
    at org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:285) 
    at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:228) 
    at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:313) 
    at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:203) 
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219) 
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) 
    at scala.Option.getOrElse(Option.scala:120) 
    at org.apache.spark.rdd.RDD.partitions(RDD.scala:217) 
    at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32) 
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219) 
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) 
    at scala.Option.getOrElse(Option.scala:120) 
    at org.apache.spark.rdd.RDD.partitions(RDD.scala:217) 
    at org.apache.spark.api.python.PythonRDD.getPartitions(PythonRDD.scala:56) 
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219) 
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) 
    at scala.Option.getOrElse(Option.scala:120) 
    at org.apache.spark.rdd.RDD.partitions(RDD.scala:217) 
    at org.apache.spark.api.python.PythonRDD.getPartitions(PythonRDD.scala:56) 
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219) 
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) 
    at scala.Option.getOrElse(Option.scala:120) 
    at org.apache.spark.rdd.RDD.partitions(RDD.scala:217) 
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:1511) 
    at org.apache.spark.rdd.RDD.collect(RDD.scala:813) 
    at org.apache.spark.api.java.JavaRDDLike$class.collect(JavaRDDLike.scala:312) 
    at org.apache.spark.api.java.JavaRDD.collect(JavaRDD.scala:32) 
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) 
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) 
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) 
    at java.lang.reflect.Method.invoke(Method.java:606) 
    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231) 
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379) 
    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:207) 
    at java.lang.Thread.run(Thread.java:745)

來源

2015-10-28 andrewwowens

根據你的錯誤，輸入路徑不存在！你有沒有檢查你的文件是否存在？（hdfs：//nameservice1/user/aowens/data/mllib/sample_libsvm_data.txt） – eliasah

而且它處於不同的生產環境中......可以解決這個問題。謝謝！ – andrewwowens