und*_*ock 5 python hadoop py4j apache-spark pyspark
我正在尝试org.apache.hadoop.fs.FileUtil.unTar
直接从 pyspark shell访问。
我知道我可以访问底层虚拟机(通过 py4j)sc._jvm
来做到这一点,但我很难真正连接到 hdfs(尽管我的 pyspark 会话完全没有其他功能,并且能够针对集群内的作业在集群中运行作业) .
例如:
hdpUntar = sc._jvm.org.apache.hadoop.fs.FileUtil.unTar
hdpFile = sc._jvm.java.io.File
root = hdpFile("hdfs://<url>/user/<file>")
target = hdpFile("hdfs://<url>/user/myuser/untar")
hdpUntar(root, target)
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不幸的是,这不起作用:
Py4JJavaError: An error occurred while calling z:org.apache.hadoop.fs.FileUtil.unTar.
: ExitCodeException exitCode=128: tar: Cannot connect to hdfs: resolve failed
at org.apache.hadoop.util.Shell.runCommand(Shell.java:538)
at org.apache.hadoop.util.Shell.run(Shell.java:455)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715)
at org.apache.hadoop.fs.FileUtil.unTarUsingTar(FileUtil.java:675)
at org.apache.hadoop.fs.FileUtil.unTar(FileUtil.java:651)
at sun.reflect.GeneratedMethodAccessor12.invoke(Unknown Source)
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)
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小智 0
这应该适用于数据块:
URI = sc._gateway.jvm.java.net.URI
Path = sc._gateway.jvm.org.apache.hadoop.fs.Path
FileSystem = sc._gateway.jvm.org.apache.hadoop.fs.FileSystem
Configuration = sc._gateway.jvm.org.apache.hadoop.conf.Configuration
fs = FileSystem.get(URI("dbfs:///"), Configuration())
status = fs.listStatus(Path('dbfs:/mnt/gobidatagen/tpch/sf100_parquet/'))
for fileStatus in status:
print(fileStatus.getPath())
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