【发布时间】：2016-03-23 17:56:42
【问题描述】：
我是 Spark Streaming 主题的新手。
通过流应用程序，我正在创建大小约为 2.5MB 的 Parquet 文件并将它们存储在 S3/Local 目录中。
我使用的方法如下：
data.write.parquet(destination)
其中“数据”是一个数据帧
如果目的地是一个本地路径，一切都像一个魅力，但如果我将它发送到 s3，路径如“s3n://bucket/directory/filename”，我会收到以下异常：
15/12/17 10:47:06 ERROR SparkUncaughtExceptionHandler: Uncaught exception in thread Thread[Executor task launch worker-3,5,main]
java.lang.UnsatisfiedLinkError: org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Ljava/lang/String;I)Z
at org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Native Method)
at org.apache.hadoop.io.nativeio.NativeIO$Windows.access(NativeIO.java:557)
at org.apache.hadoop.fs.FileUtil.canRead(FileUtil.java:977)
at org.apache.hadoop.util.DiskChecker.checkAccessByFileMethods(DiskChecker.java:187)
at org.apache.hadoop.util.DiskChecker.checkDirAccess(DiskChecker.java:174)
at org.apache.hadoop.util.DiskChecker.checkDir(DiskChecker.java:108)
at org.apache.hadoop.fs.LocalDirAllocator$AllocatorPerContext.confChanged(LocalDirAllocator.java:285)
at org.apache.hadoop.fs.LocalDirAllocator$AllocatorPerContext.getLocalPathForWrite(LocalDirAllocator.java:344)
at org.apache.hadoop.fs.LocalDirAllocator$AllocatorPerContext.createTmpFileForWrite(LocalDirAllocator.java:416)
at org.apache.hadoop.fs.LocalDirAllocator.createTmpFileForWrite(LocalDirAllocator.java:198)
at org.apache.hadoop.fs.s3native.NativeS3FileSystem$NativeS3FsOutputStream.newBackupFile(NativeS3FileSystem.java:263)
at org.apache.hadoop.fs.s3native.NativeS3FileSystem$NativeS3FsOutputStream.<init>(NativeS3FileSystem.java:245)
at org.apache.hadoop.fs.s3native.NativeS3FileSystem.create(NativeS3FileSystem.java:412)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:908)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:889)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:786)
at org.apache.parquet.hadoop.ParquetFileWriter.<init>(ParquetFileWriter.java:176)
at org.apache.parquet.hadoop.ParquetFileWriter.<init>(ParquetFileWriter.java:160)
at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:289)
at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:262)
at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.<init>(ParquetRelation.scala:94)
at org.apache.spark.sql.execution.datasources.parquet.ParquetRelation$$anon$3.newInstance(ParquetRelation.scala:272)
at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:234)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
从存储桶操作读取工作正常。 尽管有错误存储在存储桶中。像“目录和文件夹”一样，它为给定路径创建文件夹，但最后不是文件，而是“文件名和文件夹”文件。
技术细节：#
- S3 浏览器
- Windows 8.1
- IntelliJ CE 14.1.5
- Spark 流应用程序
- 适用于 Hadoop 2.6.0 的 Spark 1.5
【问题讨论】：
-
%HADOOP_HOME%\bin%中有winutils.exe吗？它可能是也可能不是解决方案。
标签： scala amazon-s3 apache-spark spark-streaming parquet