命令行界面

Flink provides a Command-Line Interface (CLI) to run programs that are packagedas JAR files, and control their execution. The CLI is partof any Flink setup, available in local single node setups and indistributed setups. It is located under <flink-home>/bin/flinkand connects by default to the running Flink master (JobManager) that wasstarted from the same installation directory.

The command line can be used to

• submit jobs for execution,
• cancel a running job,
• provide information about a job,
• list running and waiting jobs,
• trigger and dispose savepoints, and

A prerequisite to using the command line interface is that the Flinkmaster (JobManager) has been started (via<flink-home>/bin/start-cluster.sh) or that a YARN environment isavailable.

• Examples
  • 作业提交示例
  • 作业管理示例
  • Savepoints
• Usage

Examples

作业提交示例

这些示例是关于如何通过脚本提交一个作业

• Run example program with no arguments:

./bin/flink run ./examples/batch/WordCount.jar

• Run example program with arguments for input and result files:

./bin/flink run ./examples/batch/WordCount.jar \
                     --input file:///home/user/hamlet.txt --output file:///home/user/wordcount_out

• Run example program with parallelism 16 and arguments for input and result files:

./bin/flink run -p 16 ./examples/batch/WordCount.jar \
                     --input file:///home/user/hamlet.txt --output file:///home/user/wordcount_out

• Run example program with flink log output disabled:

    ./bin/flink run -q ./examples/batch/WordCount.jar

• Run example program in detached mode:

    ./bin/flink run -d ./examples/batch/WordCount.jar

• Run example program on a specific JobManager:

./bin/flink run -m myJMHost:8081 \
                       ./examples/batch/WordCount.jar \
                       --input file:///home/user/hamlet.txt --output file:///home/user/wordcount_out

• Run example program with a specific class as an entry point:

./bin/flink run -c org.apache.flink.examples.java.wordcount.WordCount \
                       ./examples/batch/WordCount.jar \
                       --input file:///home/user/hamlet.txt --output file:///home/user/wordcount_out

• Run example program using a per-job YARN cluster with 2 TaskManagers:

./bin/flink run -m yarn-cluster -yn 2 \
                       ./examples/batch/WordCount.jar \
                       --input hdfs:///user/hamlet.txt --output hdfs:///user/wordcount_out

• 提交一个Python Table的作业:

./bin/flink run -py WordCount.py

• 提交一个有多个依赖的Python Table的作业:

./bin/flink run -py examples/python/table/batch/word_count.py \
                        -pyfs file:///user.txt,hdfs:///$namenode_address/username.txt

• 提交一个有多个依赖的Python Table的作业，Python作业的主入口通过pym选项指定:

./bin/flink run -pym batch.word_count -pyfs examples/python/table/batch

• 提交一个指定并发度为16的Python Table的作业:

./bin/flink run -p 16 -py examples/python/table/batch/word_count.py

• 提交一个关闭flink日志输出的Python Table的作业:

./bin/flink run -q -py examples/python/table/batch/word_count.py

• 提交一个运行在detached模式下的Python Table的作业:

./bin/flink run -d -py examples/python/table/batch/word_count.py

• 提交一个运行在指定JobManager上的Python Table的作业:

./bin/flink run -m myJMHost:8081 \
                    -py examples/python/table/batch/word_count.py

• 提交一个运行在有两个TaskManager的per-job YARN cluster的Python Table的作业:

./bin/flink run -m yarn-cluster -yn 2 \
                         -py examples/python/table/batch/word_count.py

作业管理示例

• Display the optimized execution plan for the WordCount example program as JSON:

./bin/flink info ./examples/batch/WordCount.jar \
                        --input file:///home/user/hamlet.txt --output file:///home/user/wordcount_out

• List scheduled and running jobs (including their JobIDs):

./bin/flink list

• List scheduled jobs (including their JobIDs):

./bin/flink list -s

• List running jobs (including their JobIDs):

./bin/flink list -r

• List all existing jobs (including their JobIDs):

./bin/flink list -a

• List running Flink jobs inside Flink YARN session:

./bin/flink list -m yarn-cluster -yid <yarnApplicationID> -r

• Cancel a job:

./bin/flink cancel <jobID>

• Cancel a job with a savepoint (deprecated; use “stop” instead):

./bin/flink cancel -s [targetDirectory] <jobID>

• Gracefully stop a job with a savepoint (streaming jobs only):

./bin/flink stop [-p targetDirectory] [-d] <jobID>

Savepoints

Savepoints are controlled via the command line client:

Trigger a Savepoint

./bin/flink savepoint <jobId> [savepointDirectory]

This will trigger a savepoint for the job with ID jobId, and returns the path of the created savepoint. You need this path to restore and dispose savepoints.

Furthermore, you can optionally specify a target file system directory to store the savepoint in. The directory needs to be accessible by the JobManager.

If you don’t specify a target directory, you need to have configured a default directory. Otherwise, triggering the savepoint will fail.

Trigger a Savepoint with YARN

./bin/flink savepoint <jobId> [savepointDirectory] -yid <yarnAppId>

This will trigger a savepoint for the job with ID jobId and YARN application ID yarnAppId, and returns the path of the created savepoint.

Everything else is the same as described in the above Trigger a Savepoint section.

Stop

Use the stop to gracefully stop a running streaming job with a savepoint.

./bin/flink stop [-p targetDirectory] [-d] <jobID>

A “stop” call is a more graceful way of stopping a running streaming job, as the “stop” signal flows fromsource to sink. When the user requests to stop a job, all sources will be requested to send the last checkpoint barrierthat will trigger a savepoint, and after the successful completion of that savepoint, they will finish by calling theircancel() method. If the -d flag is specified, then a MAX_WATERMARK will be emitted before the last checkpointbarrier. This will result all registered event-time timers to fire, thus flushing out any state that is waiting fora specific watermark, e.g. windows. The job will keep running until all sources properly shut down. This allows the job to finish processing all in-flight data.

Cancel with a savepoint (deprecated)

You can atomically trigger a savepoint and cancel a job.

./bin/flink cancel -s [savepointDirectory] <jobID>

If no savepoint directory is configured, you need to configure a default savepoint directory for the Flink installation (see Savepoints).

The job will only be cancelled if the savepoint succeeds.

Note: Cancelling a job with savepoint is deprecated. Use "stop" instead.

Restore a savepoint

./bin/flink run -s <savepointPath> ...

The run command has a savepoint flag to submit a job, which restores its state from a savepoint. The savepoint path is returned by the savepoint trigger command.

By default, we try to match all savepoint state to the job being submitted. If you want to allow to skip savepoint state that cannot be restored with the new job you can set the allowNonRestoredState flag. You need to allow this if you removed an operator from your program that was part of the program when the savepoint was triggered and you still want to use the savepoint.

./bin/flink run -s <savepointPath> -n ...

This is useful if your program dropped an operator that was part of the savepoint.

Dispose a savepoint

./bin/flink savepoint -d <savepointPath>

Disposes the savepoint at the given path. The savepoint path is returned by the savepoint trigger command.

If you use custom state instances (for example custom reducing state or RocksDB state), you have to specify the path to the program JAR with which the savepoint was triggered in order to dispose the savepoint with the user code class loader:

./bin/flink savepoint -d <savepointPath> -j <jarFile>

Otherwise, you will run into a ClassNotFoundException.

Usage

The command line syntax is as follows:

./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 or "getPlan()" 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 <python-file>           指定Python作业的入口，依赖的资源文件可以通过
                                          `--pyFiles`进行指定。
     -pyfs,--pyFiles <python-files>       指定Python作业依赖的一些自定义的python文件，
                                          如果有多个文件，可以通过逗号(,)进行分隔。支持
                                          常用的python资源文件，例如(.py/.egg/.zip)。
                                          (例如:--pyFiles file:///tmp/myresource.zip
                                          ,hdfs:///$namenode_address/myresource2.zip)
     -pym,--pyModule <python-module>      指定python程序的运行的模块入口，这个选项必须配合
                                          `--pyFiles`一起使用。
     -q,--sysoutLogging                   If present, suppress logging output to
                                          standard out.
     -s,--fromSavepoint <savepointPath>   Path to a savepoint to restore the job
                                          from (for example
                                          hdfs:///flink/savepoint-1537).
     -sae,--shutdownOnAttachedExit        If the job is submitted in attached
                                          mode, perform a best-effort cluster
                                          shutdown when the CLI is terminated
                                          abruptly, e.g., in response to a user
                                          interrupt, such as typing Ctrl + C.
  Options for yarn-cluster mode:
     -d,--detached                        If present, runs the job in detached
                                          mode
     -m,--jobmanager <arg>                Address of the JobManager (master) to
                                          which to connect. Use this flag to
                                          connect to a different JobManager than
                                          the one specified in the
                                          configuration.
     -sae,--shutdownOnAttachedExit        If the job is submitted in attached
                                          mode, perform a best-effort cluster
                                          shutdown when the CLI is terminated
                                          abruptly, e.g., in response to a user
                                          interrupt, such as typing Ctrl + C.
     -yat,--yarnapplicationType <arg>     Set a custom application type for the
                                          application on YARN
     -yD <property=value>                 use value for given property
     -yd,--yarndetached                   If present, runs the job in detached
                                          mode (deprecated; use non-YARN
                                          specific option instead)
     -yh,--yarnhelp                       Help for the Yarn session CLI.
     -yid,--yarnapplicationId <arg>       Attach to running YARN session
     -yj,--yarnjar <arg>                  Path to Flink jar file
     -yjm,--yarnjobManagerMemory <arg>    Memory for JobManager Container
                                          with optional unit (default: MB)
     -yn,--yarncontainer <arg>            Number of YARN container to allocate
                                          (=Number of Task Managers)
     -ynm,--yarnname <arg>                Set a custom name for the application
                                          on YARN
     -yq,--yarnquery                      Display available YARN resources
                                          (memory, cores)
     -yqu,--yarnqueue <arg>               Specify YARN queue.
     -ys,--yarnslots <arg>                Number of slots per TaskManager
     -yst,--yarnstreaming                 Start Flink in streaming mode
     -yt,--yarnship <arg>                 Ship files in the specified directory
                                          (t for transfer), multiple options are
                                          supported.
     -ytm,--yarntaskManagerMemory <arg>   Memory per TaskManager Container
                                          with optional unit (default: MB)
     -yz,--yarnzookeeperNamespace <arg>   Namespace to create the Zookeeper
                                          sub-paths for high availability mode
     -ynl,--yarnnodeLabel <arg>           Specify YARN node label for
                                          the YARN application
     -z,--zookeeperNamespace <arg>        Namespace to create the Zookeeper
                                          sub-paths for high availability mode
  Options for default mode:
     -m,--jobmanager <arg>           Address of the JobManager (master) to which
                                     to connect. Use this flag to connect to a
                                     different JobManager than the one specified
                                     in the configuration.
     -z,--zookeeperNamespace <arg>   Namespace to create the Zookeeper sub-paths
                                     for high availability mode
Action "info" shows the optimized execution plan of the program (JSON).
  Syntax: info [OPTIONS] <jar-file> <arguments>
  "info" action options:
     -c,--class <classname>           Class with the program entry point ("main()"
                                      method or "getPlan()" method). Only needed
                                      if the JAR file does not specify the class
                                      in its manifest.
     -p,--parallelism <parallelism>   The parallelism with which to run the
                                      program. Optional flag to override the
                                      default value specified in the
                                      configuration.
Action "list" lists running and scheduled programs.
  Syntax: list [OPTIONS]
  "list" action options:
     -r,--running     Show only running programs and their JobIDs
     -s,--scheduled   Show only scheduled programs and their JobIDs
  Options for yarn-cluster mode:
     -m,--jobmanager <arg>            Address of the JobManager (master) to
                                      which to connect. Use this flag to connect
                                      to a different JobManager than the one
                                      specified in the configuration.
     -yid,--yarnapplicationId <arg>   Attach to running YARN session
     -z,--zookeeperNamespace <arg>    Namespace to create the Zookeeper
                                      sub-paths for high availability mode
  Options for default mode:
     -m,--jobmanager <arg>           Address of the JobManager (master) to which
                                     to connect. Use this flag to connect to a
                                     different JobManager than the one specified
                                     in the configuration.
     -z,--zookeeperNamespace <arg>   Namespace to create the Zookeeper sub-paths
                                     for high availability mode
Action "stop" stops a running program with a savepoint (streaming jobs only).
  Syntax: stop [OPTIONS] <Job ID>
  "stop" action options:
     -d,--drain                           Send MAX_WATERMARK before taking the
                                          savepoint and stopping the pipelne.
     -p,--savepointPath <savepointPath>   Path to the savepoint (for example
                                          hdfs:///flink/savepoint-1537). If no
                                          directory is specified, the configured
                                          default will be used
                                          ("state.savepoints.dir").
  Options for yarn-cluster mode:
     -m,--jobmanager <arg>            Address of the JobManager (master) to
                                      which to connect. Use this flag to connect
                                      to a different JobManager than the one
                                      specified in the configuration.
     -yid,--yarnapplicationId <arg>   Attach to running YARN session
     -z,--zookeeperNamespace <arg>    Namespace to create the Zookeeper
                                      sub-paths for high availability mode
  Options for default mode:
     -m,--jobmanager <arg>           Address of the JobManager (master) to which
                                     to connect. Use this flag to connect to a
                                     different JobManager than the one specified
                                     in the configuration.
     -z,--zookeeperNamespace <arg>   Namespace to create the Zookeeper sub-paths
                                     for high availability mode
Action "cancel" cancels a running program.
  Syntax: cancel [OPTIONS] <Job ID>
  "cancel" action options:
     -s,--withSavepoint <targetDirectory>   **DEPRECATION WARNING**: Cancelling
                                            a job with savepoint is deprecated.
                                            Use "stop" instead.
                                            Trigger savepoint and cancel job.
                                            The target directory is optional. If
                                            no directory is specified, the
                                            configured default directory
                                            (state.savepoints.dir) is used.
  Options for yarn-cluster mode:
     -m,--jobmanager <arg>            Address of the JobManager (master) to
                                      which to connect. Use this flag to connect
                                      to a different JobManager than the one
                                      specified in the configuration.
     -yid,--yarnapplicationId <arg>   Attach to running YARN session
     -z,--zookeeperNamespace <arg>    Namespace to create the Zookeeper
                                      sub-paths for high availability mode
  Options for default mode:
     -m,--jobmanager <arg>           Address of the JobManager (master) to which
                                     to connect. Use this flag to connect to a
                                     different JobManager than the one specified
                                     in the configuration.
     -z,--zookeeperNamespace <arg>   Namespace to create the Zookeeper sub-paths
                                     for high availability mode
Action "savepoint" triggers savepoints for a running job or disposes existing ones.
  Syntax: savepoint [OPTIONS] <Job ID> [<target directory>]
  "savepoint" action options:
     -d,--dispose <arg>       Path of savepoint to dispose.
     -j,--jarfile <jarfile>   Flink program JAR file.
  Options for yarn-cluster mode:
     -m,--jobmanager <arg>            Address of the JobManager (master) to
                                      which to connect. Use this flag to connect
                                      to a different JobManager than the one
                                      specified in the configuration.
     -yid,--yarnapplicationId <arg>   Attach to running YARN session
     -z,--zookeeperNamespace <arg>    Namespace to create the Zookeeper
                                      sub-paths for high availability mode
  Options for default mode:
     -m,--jobmanager <arg>           Address of the JobManager (master) to which
                                     to connect. Use this flag to connect to a
                                     different JobManager than the one specified
                                     in the configuration.
     -z,--zookeeperNamespace <arg>   Namespace to create the Zookeeper sub-paths
                                     for high availability mode