[FLINK-31109][yarn] Support Hadoop proxy user when delegation token f… #22009

venkata91 · 2023-02-24T02:08:37Z

…etch is disabled

What is the purpose of the change

FLINK-28330 removed old delegation token framework code as part of it removed the existing support for delegation tokens that are managed outside of Flink

Brief change log

As part of YarnClusterDescriptor#setTokensFor load the available delegation tokens in the client machine and then load the tokens obtained through DelegationTokenManager if security.delegation.tokens.enabled is set to true.
HadoopModule should throw exception if the UserGroupInformation.currentUser is a hadoop proxy user and also security.delegation.tokens.enabled is set to true.

Verifying this change

Added tests in the HadoopModuleTest and in KerberosLoginProviderITCase.
Manually tested in our env where delegation token fetch is managed.

Does this pull request potentially affect one of the following parts:

Dependencies (does it add or upgrade a dependency): (yes / no)
The public API, i.e., is any changed class annotated with @Public(Evolving): (yes / no)
The serializers: (yes / no / don't know)
The runtime per-record code paths (performance sensitive): (yes / no / don't know)
Anything that affects deployment or recovery: JobManager (and its components), Checkpointing, Kubernetes/Yarn, ZooKeeper: (yes / no / don't know)
The S3 file system connector: (yes / no / don't know)

Documentation

Does this pull request introduce a new feature? (yes / no)
If yes, how is the feature documented? (not applicable / docs / JavaDocs / not documented)

…etch is disabled

venkata91 · 2023-02-24T02:09:25Z

Please review. cc @MartijnVisser @gaborgsomogyi @becketqin

flinkbot · 2023-02-24T02:14:09Z

CI report:

332c2e4 Azure: SUCCESS

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venkata91 · 2023-02-24T03:44:40Z

Looking into the test failure, somehow it worked locally but failing in the pipeline.

gaborgsomogyi

Thanks for fixing it! Some minors found but when fixed then it's mergeble.

...rc/test/java/org/apache/flink/runtime/security/token/hadoop/KerberosLoginProviderITCase.java

flink-runtime/src/main/java/org/apache/flink/runtime/security/modules/HadoopModule.java

...time/src/main/java/org/apache/flink/runtime/security/token/hadoop/KerberosLoginProvider.java

gaborgsomogyi · 2023-02-24T07:57:54Z

e2e tests are still running so most probably it's going to pass.

MartijnVisser · 2023-02-24T08:29:18Z

@gaborgsomogyi So all there's left are the minor review comments and then it's ready to merge from your perspective?

gaborgsomogyi · 2023-02-24T10:11:24Z

@MartijnVisser when then mentioned suggestions are fixed then it can go. Planning to track the changes and approve it when I think it's flawless.

gaborgsomogyi · 2023-02-25T06:06:30Z

@MartijnVisser everything is green so good to go from.my side.

MartijnVisser · 2023-02-26T20:08:53Z

@venkata91 Can you also create a back port towards release-1.17?

…etch is disabled. This closes apache#22009 * [FLINK-31109][yarn] Support Hadoop proxy user when delegation token fetch is disabled (cherry picked from commit 7813613)

…etch is disabled. This closes #22009 * [FLINK-31109][yarn] Support Hadoop proxy user when delegation token fetch is disabled (cherry picked from commit 7813613)

venkata91 · 2023-02-27T19:05:55Z

@venkata91 Can you also create a back port towards release-1.17?

@MartijnVisser Looks like you already backported it. I was about to get to it. Thanks for backporting it to release-1.17 as well.

wForget · 2024-05-21T02:34:45Z

I've tried specifying proxyUser using HADOOP_PROXY_USER and maintaining the delegation tokens with an external service and sending them into jobmanager, but I can't seem to update delegation tokens of taskmanager.

Flink seems to use DefaultDelegationTokenManager#listener to update the delegation tokens of taskmanager. Can we provide a custom DelegationTokenManager?

@venkata91 @gaborgsomogyi Could you please take a look?

gaborgsomogyi · 2024-05-21T06:57:52Z

I've tried specifying proxyUser using HADOOP_PROXY_USER and maintaining the delegation tokens with an external service and sending them into jobmanager, but I can't seem to update delegation tokens of taskmanager.

Not sure what you mean here. If you update the tokens externally then it's the external code responsibility to do its job properly, right?

Flink seems to use DefaultDelegationTokenManager#listener to update the delegation tokens of taskmanager. Can we provide a custom DelegationTokenManager?

In your own distribution you can do anything you can imagine. There is no configuration infra for this so you need to change the source (namely DefaultDelegationTokenManagerFactory).

In general, what is the use-case what you would like to achieve here? If I understand correctly the goal is to have 2 users in a single cluster (proxy user + the other one who is creating tokens)?

wForget · 2024-05-21T07:16:11Z

@gaborgsomogyi Thank you for your reply.

I want to implement impersonation mode for flink engine in Apahce Kyuubi. Flink proxy user mode relies on external services to maintain delegation tokens, and kyuubi server can do this well.

Kyuubi server uses super user proxy to sessionUser to obtain delegation tokens, and brings them to flink jobmanger when starting the flink engine. It will regularly update delegation tokens and send them to jobmanager, and at the same time I want to update taskmanager tokens (but I can't find a suitable way).

Related issues:
apache/kyuubi#6367
apache/kyuubi#6368

wForget · 2024-05-21T07:42:20Z

In your own distribution you can do anything you can imagine. There is no configuration infra for this so you need to change the source (namely DefaultDelegationTokenManagerFactory).

Is this improvement reasonable? Can we introduce it upstream?

gaborgsomogyi · 2024-05-21T08:50:44Z

Just to give some historical background Flink (just like Spark) can't really guarantee that an externally given proxy user TGT will be renewed. This may end-up in stopped streaming workloads which will be bad UX for users. As a conclusion we decided to say plz manage it externally. If some internal Flink constructs can be re-used to do that then it's fine but that was not an explicit aim.

Is this improvement reasonable? Can we introduce it upstream?

Adding a config which manager implementation should be used is no brainer but the default manager has some requirements in its constructor:

flink/flink-runtime/src/main/java/org/apache/flink/runtime/security/token/DefaultDelegationTokenManager.java

Lines 101 to 105 in 5f5722f

    
           public DefaultDelegationTokenManager( 
        
                   Configuration configuration, 
        
                   @Nullable PluginManager pluginManager, 
        
                   @Nullable ScheduledExecutor scheduledExecutor, 
        
                   @Nullable ExecutorService ioExecutor) {

When we would say that the manager can be changed that would mean this constructor param set must be a user facing API which I wouldn't do. These however are subject to change.

As a conclusion I can imagine the following:

update the UserGroupInformation directly (maybe with side car) and turn off Flink delegation token manager
create a custom Flink distro where custom manager is included (I think this can't be really an option for you)

Flink and Spark session cluster scalable multi-user handling is something which can be enhanced but it's pending.

wForget · 2024-05-21T09:05:35Z

update the UserGroupInformation directly (maybe with side car) and turn off Flink delegation token manager

Yes, I want to update UserGroupInformation directly, but this update is difficult to pass to taskmanagers since we turned off delegation token manager. If there are any exposed interfaces, that would be great.

flink/flink-runtime/src/main/java/org/apache/flink/runtime/resourcemanager/ResourceManager.java

Lines 1578 to 1597 in 5f5722f

    
           public void onNewTokensObtained(byte[] tokens) throws Exception { 
        
               latestTokens.set(tokens); 
        
               log.info("Updating delegation tokens for {} task manager(s).", taskExecutors.size()); 
        
               if (!taskExecutors.isEmpty()) { 
        
                   final List<CompletableFuture<Acknowledge>> futures = 
        
                           new ArrayList<>(taskExecutors.size()); 
        
                   for (Map.Entry<ResourceID, WorkerRegistration<WorkerType>> workerRegistrationEntry : 
        
                           taskExecutors.entrySet()) { 
        
                       WorkerRegistration<WorkerType> registration = workerRegistrationEntry.getValue(); 
        
                       log.info("Updating delegation tokens for node {}.", registration.getNodeId()); 
        
                       final TaskExecutorGateway taskExecutorGateway = 
        
                               registration.getTaskExecutorGateway(); 
        
                       futures.add(taskExecutorGateway.updateDelegationTokens(getFencingToken(), tokens)); 
        
                   } 
        
                   FutureUtils.combineAll(futures).get(); 
        
               }

gaborgsomogyi · 2024-05-21T09:49:32Z

The framework is so flexible that one can do anything with it 🙂
One thing which just came into my mind:

Remove HadoopModuleFactory from security.module.factory.classes
Turn off all existing delegation token providers security.delegation.token.provider.X.enabled=false
Create your own DelegationTokenProvider + DelegationTokenReceiver implementation(s)
Implement any custom logic what you can imagine there
Add them to flink/libs as external jar
Enjoy

wForget · 2024-05-21T09:57:33Z

The framework is so flexible that one can do anything with it 🙂 One thing which just came into my mind:

Remove HadoopModuleFactory from security.module.factory.classes

Turn off all existing delegation token providers security.delegation.token.provider.X.enabled=false

Create your own DelegationTokenProvider + DelegationTokenReceiver implementation(s)

Implement any custom logic what you can imagine there

Add them to flink/libs as external jar

Enjoy

Sounds great, thanks, I will try this way.

wForget · 2024-05-27T05:35:25Z

The framework is so flexible that one can do anything with it 🙂 One thing which just came into my mind:

Remove HadoopModuleFactory from security.module.factory.classes

Turn off all existing delegation token providers security.delegation.token.provider.X.enabled=false

Create your own DelegationTokenProvider + DelegationTokenReceiver implementation(s)

Implement any custom logic what you can imagine there

Add them to flink/libs as external jar

Enjoy

Thanks @gaborgsomogyi , this is an effective way, I've tried it in kyuubi and it mostly works well. Just one point, since we disabled security.delegation.token.provider.hadoopfs.enabled, hdfs token will not be fetched and sent to yarn am container.

flink/flink-yarn/src/main/java/org/apache/flink/yarn/YarnClusterDescriptor.java

Lines 1374 to 1378 in 4b342da

    
           for (Map.Entry<String, byte[]> e : container.getTokens().entrySet()) { 
        
               if (e.getKey().equals("hadoopfs")) { 
        
                   credentials.addAll(HadoopDelegationTokenConverter.deserialize(e.getValue())); 
        
               } 
        
           }

Shall we use DelegationTokenReceiverRepository here to receive tokens obtained by DelegationTokenManager?

[FLINK-31109][yarn] Support Hadoop proxy user when delegation token f…

c7e5812

…etch is disabled

Fix HadoopModuleTest

4f134b0

flinkbot added the component=Runtime/Coordination label Feb 24, 2023

gaborgsomogyi requested changes Feb 24, 2023

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Address review comments from gaborgsomogyi

332c2e4

venkata91 requested a review from gaborgsomogyi February 24, 2023 16:27

gaborgsomogyi approved these changes Feb 24, 2023

View reviewed changes

MartijnVisser merged commit 7813613 into apache:master Feb 26, 2023

MartijnVisser mentioned this pull request Feb 27, 2023

[FLINK-31109][BP 1.17][Yarn] Support Hadoop proxy user when delegation token fetch is disabled #22033

Merged

wForget mentioned this pull request May 22, 2024

[FEATURE] Support impersonation mode for flink sql engine apache/kyuubi#6368

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[FLINK-31109][yarn] Support Hadoop proxy user when delegation token f… #22009

[FLINK-31109][yarn] Support Hadoop proxy user when delegation token f… #22009

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[FLINK-31109][yarn] Support Hadoop proxy user when delegation token f… #22009

[FLINK-31109][yarn] Support Hadoop proxy user when delegation token f… #22009

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venkata91 commented Feb 24, 2023

What is the purpose of the change

Brief change log

Verifying this change

Does this pull request potentially affect one of the following parts:

Documentation

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CI report:

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