Question

当我尝试使用pyspark从S3获取数据时，我得到一个nullpointer异常。我用hadoop 2.4运行spark 1.6.1。我尝试使用s3n和s3a。尝试按以下方式设置配置：

hadoopConf = sc._jsc.hadoopConfiguration()
hadoopConf.set("fs.s3.impl",     "org.apache.hadoop.fs.s3native.NativeS3FileSystem")
hadoopConf.set("fs.s3n.awsAccessKeyId", "aws-key")
hadoopConf.set("fs.s3n.awsSecretAccessKey", "aws-secret-key")

确保存储桶具有经过身份验证的用户的权限。

>>> myRDD = sc.textFile("s3n://aws-key:aws-secret-key@my-bucket/data.csv-000").count()

16/11/10 18:37:50 INFO MemoryStore: Block broadcast_10 stored as values in memory (estimated size 157.2 KB, free 1755.2 KB)
16/11/10 18:37:50 INFO MemoryStore: Block broadcast_10_piece0 stored as bytes in memory (estimated size 17.0 KB, free 1772.2 KB)
16/11/10 18:37:50 INFO BlockManagerInfo: Added broadcast_10_piece0 in memory on localhost:61806 (size: 17.0 KB, free: 510.9 MB)
16/11/10 18:37:50 INFO SparkContext: Created broadcast 10 from textFile at NativeMethodAccessorImpl.java:-2
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/skalyanpur/spark-1.6.1-bin-hadoop2.4/python/pyspark/rdd.py", line 1004, in count
    return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
  File "/Users/skalyanpur/spark-1.6.1-bin-hadoop2.4/python/pyspark/rdd.py", line 995, in sum
    return self.mapPartitions(lambda x: [sum(x)]).fold(0, operator.add)
  File "/Users/skalyanpur/spark-1.6.1-bin-hadoop2.4/python/pyspark/rdd.py", line 869, in fold
    vals = self.mapPartitions(func).collect()
  File "/Users/skalyanpur/spark-1.6.1-bin-hadoop2.4/python/pyspark/rdd.py", line 771, in collect
    port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
  File "/Users/skalyanpur/spark-1.6.1-bin-hadoop2.4/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py", line 813, in __call__

  File "/Users/skalyanpur/spark-1.6.1-bin-hadoop2.4/python/pyspark/sql/utils.py", line 45, in deco
    return f(*a, **kw)
  File "/Users/skalyanpur/spark-1.6.1-bin-hadoop2.4/python/lib/py4j-0.9-src.zip/py4j/protocol.py", line 308, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
: java.lang.NullPointerException
    at org.apache.hadoop.fs.s3native.NativeS3FileSystem.getFileStatus(NativeS3FileSystem.java:433)
    at org.apache.hadoop.fs.Globber.getFileStatus(Globber.java:57)
    at org.apache.hadoop.fs.Globber.glob(Globber.java:248)
    at org.apache.hadoop.fs.FileSystem.globStatus(FileSystem.java:1642)
    at org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:257)
    at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:228)
    at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:304)
    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.api.python.PythonRDD.getPartitions(PythonRDD.scala:58)
    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.SparkContext.runJob(SparkContext.scala:1929)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
    at org.apache.spark.rdd.RDD.collect(RDD.scala:926)
    at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:405)
    at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
    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: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)

Answer 1

不清楚导致失败的原因; ine where the exception was raised没有显示任何明显的东西。

我的建议是切换到s3a，这是我们ASF项目当前维护的S3连接器; s3n作为100％bug-for-bug向后兼容连接器而被单独留下。

s3a无法正常工作，因为它不在Hadoop-2.4中;它与Hadoop-2.6一起发布并通过Hadoop 2.7.1达到了生产就绪状态。抓住一个针对它的火花版本，你应该看到你的生活更好。如果没有：您可以针对将不会以WONTFIX关闭的issues.apache.org提交错误报告。

PS。如果您在配置中设置了属性，则无需在AWS中包含您的AWS用户：secret;这将有助于保密您的秘密。

尝试使用pyspark从S3获取数据时出现空指针异常

1 个答案: