Date: Thu, 28 Mar 2024 08:52:41 +0000 (UTC)
Message-ID: <541738008.67177.1711615961624@cwiki-he-fi.apache.org>
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Status
Please keep the discussion on the mailing list rather than commenting on=
the wiki (wiki discussions get unwieldy fast).
Motivation
As mentioned in the discussion of Interactive Programming, user ap=
plications might consist of multiple jobs and take long to finish. Currentl=
y, when Flink runs applications with multiple jobs, the application will ru=
n in a local process which is responsible for submitting the jobs. That loc=
al process will not exit until the whole application has finished. Users ha=
ve to keep eyes on the local process in case it is killed due to connection=
lost, session timeout, local operating system problem, etc.
To solve the problem, we would like to introduce the Flink Driver.=
Users can submit applications using driver mode.=
em> A Flink driver job will be submitted to take care of the job subm=
issions in the user application.
The driver mode itself is not necessarily bound to interactive pro=
gramming. But because most applications using interactive programming are l=
ong running, driver mode is particularly useful in that case.
Goals
The goals of driver mode:
- Execute user applications in Flink Driver (a Flink job running ma=
in function of user program), so that users need not to keep a long-running=
local process.
- Support all application submission approach Flink currently suppo=
rts, on standalone cluster or YARN / Kubernetes cluster, etc.
- Application status can be queried when the application runs in dr=
iver mode.
Public Interfaces
All the plublic interface changes are on ./flink run commandline.<=
/span>
- Add a new option -D/--driver t=
o enable driver mode
- Add the following new configurations for driver jobs if driver mo=
de is used
-Dhm |
--driverheapmemory <arg>=
p> |
Driver task heap memory in MB |
-Ddm |
--driverdirectmemory <arg>=
|
Driver task direct memory in MB<=
/p> |
-Dc |
--drivercpus <arg> |
Driver task cpu cores. |
-Dnm |
--drivernativememory <arg>=
|
Driver task native memory in MB<=
/p> |
Proposed Changes
Curr=
ent status of running applications
Flink provides a Command-Line Interface(CLI) to run applications =
packaged as jar files. There are two cases, per-job and session mode, depen=
ding on whether user provides an existing Flink cluster.
per-job
.bin//flink run application.jar
- For each job in the application, a Flink cluster is deployed with=
the job graph. The Flink cluster will run the job graph as soon as the dep=
loyment completes. After the job finishes, the cluster will be destroyed an=
d recycled.
- Per-job mode only works if there is only one JobGraph in the user=
application.
session-mode
.bin//flink run application.jar -m JM_ADDRESS
- User retrieves the cluster client with the configured job manager=
host:port or cluster id, then submits jobs to that cluster using the Clust=
erClient. The Flink cluster is left untouched after the jobs finish.=
Users can also specify the option of attached / d=
etached mode when run a Flink application via command lin=
e. If a user application only contains a single job, the behavior is the fo=
llowing:
- By default, attached mode is used. The command line process will =
wait until the job in the user application finishes before it exits.=
- If -d (detached) is specified =
as the command line argument, the command line process will exit once the j=
ob in the user application has been submitted, but not wait for it to finis=
h.
If there are multiple jobs in the user application, the behavior o=
f attached / detached is not really well defined and could be sometimes con=
fusing. Furthermore, Users can also specify a savepoint path t=
o restore the job by configuring the option -s. More options and their usag=
es can be found in the appendix.
Run appli=
cations with driver mode
Similar to the current status, driver mode is only available when =
users run their applications via command line. We would like to introduce a=
new option -D/--driver to ./bin/flink run.
Take yarn mode for instance, users can execute the following comma=
nd to submit applications enabling flink driver:
bin/flink run -m yarn-cluster -D -c {ENTRY_CLASS} {PATH_TO_APP=
LICATION_JAR}
Driver mode behavior=
Because applications with driver mode may submit multiple jobs, th=
e current per-job mode is no longer supported. Therefore, a Flink cluster i=
s required to run the jobs in an application.
When a user application runs in driver mode, a flink driver job wi=
ll first be created to host the main function of the user application. The =
job will then be submitted to the given Flink cluster as an ordinary Flink =
job with parallelism set to one. That driver job will then invoke the user =
main function and submit jobs in user application to the same Flink cluster=
that runs the driver job itself.
Here=E2=80=99s the whole picture of the Flink Driver:
Since all jobs are running in the same cluster, users can use REST=
API to query the job status and get their application progress. The job na=
me of a job that was submitted by the driver job will have a prefix to the =
user defined job name.
Work with co=
mmand line options
Job Config=
uration in Driver Mode
With driver mode, All option values in bin/flink =
run command line can be classified into the following cat=
egories:
- Flink cluster configurations: User might want to=
specify the yarn cluster properties, such as queuing and application name/=
id and resources for containers. etc.
- Flink driver job configurations: Driver job may =
need a separate set of resource configurations. For example, a driver job m=
ay need more memory because it collects a large table into that process. Th=
is means ideally we would like to run driver in a task manager who has a di=
fferent size from other task managers. One possible solution is to allow AM=
to start task managers on demand. So the task managers only start when a j=
ob is submitted. For wide variety of applications=E2=80=99 need, it is nece=
ssary to configure driver task=E2=80=99s resource consumption(heap memory, =
cpu cores, direct memory, etc).
- User job configurations: It will be in the same =
way we configure oridinary jobs.
See appendix for detail=
s.
Work with -m option
Users may or may not provide a Flink cluster when invoking ./flink=
run.
- If a Flink cluster is provided (-m option is specified), the command line process will simply submit =
the driver job to that cluster. When driver job and all the application job=
s finish running, the Flink cluster is left untouched.
- If no Flink cluster is provided, the command line process will fi=
rst start a Flink session cluster, then submit the driver job to that clust=
er and exit. After the driver job and all application jobs finish running, =
the Flink cluster will also be destroyed.
Work with -d option
Users cannot use -d and -D option at the same time. Otherwise a=
n exception will be thrown.
So after introducing driver mode, there are following possible cas=
es:
- WIthout -d or -D, no behavior change.
- With -d, no behavior chang=
e.
- with -D, driver mode. The =
driver job always block waiting for the main function of the user applicati=
on to finish.
The current behavior has a drawback that the driver job will not e=
xit if the application is a stream application, i.e. the jobs submitted by =
the driver job is long running. This means that users needs to know whether=
an application is a long running application or not. It is not a regressio=
n because users needs to know that as well when use -d=
em> option.
However, this caveat does hurt user experience. In long run, we wo=
uld like to fix it. A possible solution is the following:
- The client / flink driver always wait until the main function in =
user application to finish.
- User applications can choose to run a job in blocking / non-block=
ing way.
- execute() submits the job and blocks until it finishes.
- submit() submits the job and returns after the job has been submi=
tted.
Because this is an orthogonal issue to driver, and the solution ma=
y involve API changes. We will address this issue in a separate discussion.=
Some design details=
span>
Why run F=
link driver as a Flink job?
Another option to run Flink driver is to make it a module running =
in ApplicationMaster (Dispatcher).
We choose to launch Flink Driver as a simple lightweight flink job=
due to the following considerations:
- Set cluster manager free from resource management for driver.
- Flink driver is responsible for executing user applications whose=
resource consumption varies from app to app. If a driver starts as a proce=
ss in cluster manager running an application which requires large amount of=
memory and cpu resources, the cluster manager will suffer from large singl=
e point pressure, not to say running multiple drivers at a same time.
- When a driver runs in session mode, the AM (dispatcher) of the ex=
isting Flink cluster may not have enough resource to run the driver. Howeve=
r, driver as a Flink job is more flexible in that case, because TaskManager=
s usually have more abundant resources.
- Leverage existing components and services to track the applicatio=
n execution status.
- By starting driver as a simple lightweight flink job, there is no=
need to create a new set of services and RPC calls for driver to monitor a=
nd report application running status.
Why driver and user jobs run in the same Flink cluster?
For the sake of cluster management and resource management, the dr=
iver job must be run with user jobs in the same cluster. If driver and user=
job run in separate cluster, it will be a waste of time and resource to cr=
eate two different clusters and increase the difficulties of cluster lifecy=
cle management and exception handling.
How to manage cluster lifecycle in driver mode?
In driver mode, the lifecycle of the Flink cluster depends on the =
context. If the Flink cluster was provided by the user via <=
em>-m option, the cluster should not be released after =
the application exits. On the other hand, if the Flink cluster was created =
automatically to run the application, it should be teared down after the ap=
plication exits.
There are a few implementation challenges to enforce this behavior=
. The following are some solutions we are considering.
- How to distinguish between user-provided session and command-li=
ne created session.
the CLI client will get the -m option val=
ue, if the =E2=80=9Chost:port=E2=80=9D or applicationId is presented, it is=
in user-provided session mode. The CLI client will directly retrieve=
the provided cluster information and submit or query jobs via it. Otherwis=
e, command-line created session is used.
- How to destroy the command-line created session after applicati=
on finishes.
Dispatcher is responsible for dispa=
tching jobs in flink cluster. And the cluster will exit once dispatcher is =
terminated. So the following changes could be made to solve the problem:
- Introduce a new dispatcher named =E2=80=9CDriverDispatcher=E2=80=
=9D, it=E2=80=99s a subclass of Dispatcher responsible for receiving job su=
bmission from client, starting JobMasters for jobs and maintaining job info=
rmation. Most functionalities of driverDispathcer is the sam=
e as existing dispatchers, the main difference is the driver=
Dispatcher will monitor every job=E2=80=99s completion. Once there is no pe=
nding or running jobs, the driverDispatcher will reach a termination state,=
then the running cluster will be closed and recycled.
- When submit a job to DriverDispatcher, a living priority will be =
assigned to the job. We let the driver job has the highest priority, while =
common user jobs have normal priority and other daemon jobs have the lowest=
priority. If the job with the highest priority FAILED, driverDispatcher wi=
ll stop all running jobs and exit.
- How to manage the lifecycle of DriverDispather.
Job cluster entry point will start =
cluster components and driverDispatcher. As mentioned above, the driver dis=
patcher will listen to jobs=E2=80=99 termination. Once there is no pending =
or running jobs, the driverDispatcher will reach a termination state and ex=
it.
Exception=
handling in Driver Mode
If the driver job failed exceptionally, the driverDispatcher will =
also exit and the whole application finishes execution marked as failed. Dr=
iverDispatcher maintains jobIds and their living priority when receiving jo=
b submission. Everytime the dispatcher gets a job termination callback, &nb=
sp;it will fetch the job living priority and termination status, if it is t=
he highest priority and FAILED state, it means the driver has failed except=
ionally, the dispatch will exit and stop all running jobs, finish the whole=
application.
Future works
Elastic sessio=
n adaptation
When there are multiple jobs in an application, the same Flink clu=
ster will run all these jobs. Because the jobs may have different resource =
footprint, that Flink cluster has to be large enough to run the largest job=
s in the application. This wastes some resources. In the future, when the F=
link cluster resource consumption is more elastic, Flink driver can also be=
nefit from it.
Deprecation of -d/--detach option in ./flink run
The current behavior of -d/--detach option falls in short when the=
re are multiple jobs in an application. In the future we probably want to d=
eprecate it and let the application logic itself to decide whether it shoul=
d block until the jobs finish or not.
Co=
mpatibility, Deprecation, and Migration Plan
- What impact (if any) will there be on existing users?
- If we are changing behavior how will we phase out the older behavio=
r?
- If we need special migration tools, describe them here.
- When will we remove the existing behavior?
Test Plan
Describe in few sentences how the FLIP will be tested. We are mostly=
interested in system tests (since unit-tests are specific to implementatio=
n details). How will we know that the implementation works as expected? How=
will we know nothing broke?
Rejected Alternatives
- Run Flink driver is to make it a module running in Applicati=
onMaster (Dispatcher).
- Start a dedicated container or k8s pod to run Flink Driver.
Appendixes
Options for Driver
-Dhm |
--driverheapmemory <arg>=
p> |
Driver task heap memory in MB |
-Ddm |
--driverdirectmemory <arg>=
|
Driver task direct memory in MB<=
/p> |
-Dc |
--drivercpus <arg> |
Driver task cpu cores. |
-Dnm |
--drivernativememory <arg>=
|
Driver task native memory in MB<=
/p> |
Common Options
-b |
--disableSubmitOptimization <=
/td>
| If present, the jobgraph/userjars/libja=
rs/files will &=
nbsp; &nbs=
p; &=
nbsp;be transferred by blob server.Otherwise, they will be transferred by d=
istributed cache in Yarn or image in Kubernetes for optimization. |
-m |
--jobmanager <arg> |
Address of the jobManager(Master) to wh=
ich to connect. |
-c |
--class <classname>
| Class with the program entry point. |
-C |
--classpath <url> |
Adds a URL to each user code classloade=
r on all nodes in the cluster. |
-d |
--detached |
If present, runs the job in detached mo=
de. |
-D |
--driver |
if present, runs the job in driver mode=
. |
|
--file <files> |
Attach custom files for job. =
|
|
--libjars <libraryJars> |
Attach custom library jars for job. |
|
--mod <mod> |
run python library module as a script.<=
/span> |
-n |
--allowNonRestoredState |
Allow to skip savepoint state that cann=
ot be restored. |
-r |
-resume <resumePath> =
td>
| Path to a checkpoint directory to resto=
re the job from latest externalized checkpoint. |
-p |
--parallelism <parallelism> |
The parallelism with which to run the p=
rogram. |
-s |
--fromSavepoint <savepointPath>=
span> |
Path to a savepoint to restore the job =
from. |
Options for yarn<=
/h5>
-yid |
--yarnapplicationId <arg><=
/p> |
Attach to running YARN session CLI. |
-yj |
--yarnjar <arg> |
Path to Flink jar file. |
-yjm |
--yarnjobManagerMemory <arg> |
Memory for JobManager Container [in MB]=
|
-ytm |
--yarntaskManagerMemory <arg> |
Memory per TaskManaer Container [in MB]=
|
-yn |
--yarncntainer <arg> =
td>
| Number of YARN container to allocate.=
span> |
-ynm |
--yarnname <arg> |
set a custom name for the application o=
n YARN. |
-yqu |
--yarnquery |
Display available YARN resources(memory=
, core) |
-ys |
--yarnslots <arg> |
Number of slots per TaskManager.=
|
-yD |
<property=3Dvalue> |
use value for given property. Dynamic p=
roperties. |
-ysl |
--yarnsharedLib <path> =
|
|
-st |
--yarnstreaming |
|
-yt |
--yarnship |
|
-yta |
--yarshipArchives |
|
-yz |
--yarnzookeeperNamespace |
Namespace to create the Zookeeper sub-p=
aths for high availability mode. |
Note: -yD is used for setting dynamic properties which might be =
set to configure cluster or user job. Therefore, all of them will finally a=
dd up to the cluster configuration and the flink configuration when d=
eploying cluster or submitting job.
Options for kubern=
etes
-ki |
--kubernetesimage <arg> |
Container image to use for Flink contai=
ners. |
-kjm |
--kubernetesjobManagerMemory <arg>=
; |
Memory for JobManager Container [in MB]=
. |
-kms |
--kubernetesmaster <arg>=
p> |
Kubernets cluster master url. |
-kn |
--kubernetespods <arg> =
|
Number of kubernets pods to allocate.=
span> |
-kns |
--kubernetsnamespace <arg>=
|
Specify kubernets namespace. =
|
-ks |
--kubernetsslots <arg> =
|
Number of slots per TaskManager.=
|
-ksa |
--kubernetsserviceaddress <arg>=
span> |
The exposed addresss of kubernets servi=
ce to submit job and view dashboard. |
-ktm |
--kubernetstaskManagerMemory <arg>=
; |
Memory per TaskManager Container [in MB=
]. |
-kD |
<property=3Dvalue> |
use value for Dynamic properties. |
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