v1.3-SNAPSHOT
Command-Line Interface
Flink provides a command-line interface to run programs that are packaged
as JAR files, and control their execution. The command line interface is part
of any Flink setup, available in local single node setups and in
distributed setups. It is located under <flink-home>/bin/flink
and connects by default to the running Flink master (JobManager) that was
started from the same installation directory.
A prerequisite to using the command line interface is that the Flink
master (JobManager) has been started (via
<flink-home>/bin/start-local.sh or
<flink-home>/bin/start-cluster.sh) or that a YARN environment is
available.
The command line can be used to
Examples
-
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:6123 \ ./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 -
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 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:
./bin/flink cancel -s [targetDirectory] <jobID> -
Stop a job (streaming jobs only):
./bin/flink stop <jobID>
The difference between cancelling and stopping a (streaming) job is the following:
On a cancel call, the operators in a job immediately receive a cancel() method call to cancel them as
soon as possible.
If operators are not not stopping after the cancel call, Flink will start interrupting the thread periodically
until it stops.
A “stop” call is a more graceful way of stopping a running streaming job. Stop is only available for jobs
which use sources that implement the StoppableFunction interface. When the user requests to stop a job,
all sources will receive a stop() method call. The job will keep running until all sources properly shut down.
This allows the job to finish processing all inflight data.
Savepoints
Savepoints are controlled via the command line client:
Trigger a savepoint
./bin/flink savepoint <jobID> [savepointDirectory]Returns the path of the created savepoint. You need this path to restore and dispose savepoints.
You can optionally specify a savepointDirectory when triggering the savepoint. If you don’t specify one here, you need to configure a default savepoint directory for the Flink installation (see Savepoints).
Cancel with a savepoint
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.
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
-m,--jobmanager <host:port> 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.
-n,--allowNonRestoredState Allow non restored savepoint
state in case an operator has
been removed from the job.
-p,--parallelism <parallelism> The parallelism with which
to run the program. Optional
flag to override the default
value specified in the
configuration.
-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
).
-z,--zookeeperNamespace <zookeeperNamespace> Namespace to create the
Zookeeper sub-paths for high
availability mode
Options for yarn-cluster mode:
-yD <arg> Dynamic properties
-yd,--yarndetached Start detached
-yid,--yarnapplicationId <arg> Attach to running YARN session
-yj,--yarnjar <arg> Path to Flink jar file
-yjm,--yarnjobManagerMemory <arg> Memory for JobManager Container [in
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)
-ytm,--yarntaskManagerMemory <arg> Memory per TaskManager Container [in
MB]
-yz,--yarnzookeeperNamespace <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.
Options for yarn-cluster mode:
-yid,--yarnapplicationId <arg> Attach to running YARN session
Action "list" lists running and scheduled programs.
Syntax: list [OPTIONS]
"list" action options:
-m,--jobmanager <host:port> 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.
-r,--running Show only running programs and their JobIDs
-s,--scheduled Show only scheduled programs and their JobIDs
Options for yarn-cluster mode:
-yid,--yarnapplicationId <arg> Attach to running YARN session
Action "stop" stops a running program (streaming jobs only).
Syntax: stop [OPTIONS] <Job ID>
"stop" action options:
-m,--jobmanager <host:port> 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.
Options for yarn-cluster mode:
-yid,--yarnapplicationId <arg> Attach to running YARN session
Action "cancel" cancels a running program.
Syntax: cancel [OPTIONS] <Job ID>
"cancel" action options:
-m,--jobmanager <host:port> 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.
-s,--withSavepoint <targetDirectory> 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:
-yid,--yarnapplicationId <arg> Attach to running YARN session
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.
-m,--jobmanager <host:port> 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.
Options for yarn-cluster mode:
-yid,--yarnapplicationId <arg> Attach to running YARN session