关于Flink命令的参数说明

最新推荐文章于 2024-08-05 12:34:04 发布

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最新推荐文章于 2024-08-05 12:34:04 发布 · 1.9k 阅读

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#flink

本文详细介绍了Flink命令的各种参数及用法，包括run、run-application等动作的具体操作方式，并提供了不同部署模式下的配置示例。

英文好，理解强的同学请看官方解释。
觉得麻烦的同学，请先阅读文末笔者的笔记。

官方解释如下：

[yuaf@hadoop32 flink-yarn]$ bin/flink --help
./flink <ACTION> [OPTIONS] [ARGUMENTS]

The following actions are available:

Action "run" compiles and runs a program.

  Syntax: run [OPTIONS] <jar-file> <arguments>
  "run" action options:
     -c,--class <classname>               Class with the program entry point
                                          ("main()" method). Only needed if the
                                          JAR file does not specify the class in
                                          its manifest.
     -C,--classpath <url>                 Adds a URL to each user code
                                          classloader  on all nodes in the
                                          cluster. The paths must specify a
                                          protocol (e.g. file://) and be
                                          accessible on all nodes (e.g. by means
                                          of a NFS share). You can use this
                                          option multiple times for specifying
                                          more than one URL. The protocol must
                                          be supported by the {@link
                                          java.net.URLClassLoader}.
     -d,--detached                        If present, runs the job in detached
                                          mode
     -n,--allowNonRestoredState           Allow to skip savepoint state that
                                          cannot be restored. You need to allow
                                          this if you removed an operator from
                                          your program that was part of the
                                          program when the savepoint was
                                          triggered.
     -p,--parallelism <parallelism>       The parallelism with which to run the
                                          program. Optional flag to override the
                                          default value specified in the
                                          configuration.
     -py,--python <pythonFile>            Python script with the program entry
                                          point. The dependent resources can be
                                          configured with the `--pyFiles`
                                          option.
     -pyarch,--pyArchives <arg>           Add python archive files for job. The
                                          archive files will be extracted to the
                                          working directory of python UDF
                                          worker. Currently only zip-format is
                                          supported. For each archive file, a
                                          target directory be specified. If the
                                          target directory name is specified,
                                          the archive file will be extracted to
                                          a name can directory with the
                                          specified name. Otherwise, the archive
                                          file will be extracted to a directory
                                          with the same name of the archive
                                          file. The files uploaded via this
                                          option are accessible via relative
                                          path. '#' could be used as the
                                          separator of the archive file path and
                                          the target directory name. Comma (',')
                                          could be used as the separator to
                                          specify multiple archive files. This
                                          option can be used to upload the
                                          virtual environment, the data files
                                          used in Python UDF (e.g.: --pyArchives
                                          file:///tmp/py37.zip,file:///tmp/data.
                                          zip#data --pyExecutable
                                          py37.zip/py37/bin/python). The data
                                          files could be accessed in Python UDF,
                                          e.g.: f = open('data/data.txt', 'r').
     -pyexec,--pyExecutable <arg>         Specify the path of the python
                                          interpreter used to execute the python
                                          UDF worker (e.g.: --pyExecutable
                                          /usr/local/bin/python3). The python
                                          UDF worker depends on Python 3.5+,
                                          Apache Beam (version == 2.23.0), Pip
                                          (version >= 7.1.0) and SetupTools
                                          (version >= 37.0.0). Please ensure
                                          that the specified environment meets