Hello Aljoscha!
The way we send the DTs to spark is by setting an env variable
(HADOOP_TOKEN_FILE_LOCATION) which interestingly we have to unset when we run
Flink because even if we do kinit that variable affects somehow Flink and
doesn’t work.
I’m not an expert but what you describe (We would need to modify the
SecurityUtils [2] to create a UGI from tokens, i.e.
UserGroupInformation.createRemoteUser() and then addCreds() or addToken())
makes sense.
If you are able to do this it would be great and help us a lot!
Thank you,
Juan
On 1/10/20, 3:13 PM, "Aljoscha Krettek" <aljos...@apache.org> wrote:
Hi,
it seems I hin send to early, my mail was missing a small part. This is
the full mail again:
to summarize and clarify various emails: currently, you can only use
Kerberos authentication via tickets (i.e. kinit) or keytab. The relevant
bit of code is in the Hadoop security module [1]. Here you can see that
we either use keytab or try to login as a user.
I think we should be able to extend this to also work with delegation
tokens (DTs). We would need to modify the SecurityUtils [2] to create a
UGI from tokens, i.e. UserGroupInformation.createRemoteUser() and then
addCreds() or addToken(). In Spark, how do you pass the DTs to the
system as a user?
Best,
Aljoscha
[1]
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[2]
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On 10.01.20 15:02, Aljoscha Krettek wrote:
> Hi Juan,
>
> to summarize and clarify various emails: currently, you can only use
> Kerberos authentication via tickets (i.e. kinit) or keytab. The relevant
> bit of code is in the Hadoop security module: [1]. Here you can see that
> we either use keytab.
>
> I think we should be able to extend this to also work with delegation
> tokens (DTs). In Spark, how do you pass the DTs to the system as a user?
>
> Best,
> Aljoscha
>
> [1]
>
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>
>
> On 06.01.20 09:52, Yang Wang wrote:
>> I guess you have set some kerberos related configuration in spark
>> jobs. For
>> Flink, you need
>> to do this too by the following configs. And the keytab file should
>> existed
>> on Flink client. In your
>> environment, it means the scheduler(oozie) could access the keytab file.
>>
>> security.kerberos.login.keytab
>> security.kerberos.login.principal
>> security.kerberos.login.contexts
>>
>>
>>
>> Best,
>> Yang
>>
>> Juan Gentile <j.gent...@criteo.com> 于2020年1月6日周一 下午3:55写道：
>>
>>> Hello Rong, Chesnay,
>>>
>>>
>>>
>>> Thank you for your answer, the way we are trying to launch the job is
>>> through a scheduler (similar to oozie) where we have a keytab for the
>>> scheduler user and with that keytab we get delegation tokens
>>> impersonating
>>> the right user (owner of the job). But the only way I was able to
>>> make this
>>> work is by getting a ticket (through kinit).
>>>
>>> As a comparison, if I launch a spark job (without doing kinit) just with
>>> the delegation tokens, it works okay. So I guess Spark does something
>>> extra.
>>>
>>> This is as far as I could go but at this point I’m not sure if this is
>>> something just not supported by Flink or I’m doing something wrong.
>>>
>>>
>>>
>>> Thank you,
>>>
>>> Juan
>>>
>>>
>>>
>>> *From: *Rong Rong <walter...@gmail.com>
>>> *Date: *Saturday, January 4, 2020 at 6:06 PM
>>> *To: *Chesnay Schepler <ches...@apache.org>
>>> *Cc: *Juan Gentile <j.gent...@criteo.com>, "user@flink.apache.org" <
>>> user@flink.apache.org>, Oleksandr Nitavskyi <o.nitavs...@criteo.com>
>>> *Subject: *Re: Yarn Kerberos issue
>>>
>>>
>>>
>>> Hi Juan,
>>>
>>>
>>>
>>> Chesnay was right. If you are using CLI to launch your session cluster
>>> based on the document [1], you following the instruction to use kinit
>>> [2]
>>> first seems to be one of the right way to go.
>>>
>>> Another way of approaching it is to setup the kerberos settings in the
>>> flink-conf.yaml file [3]. FlinkYarnSessionCli will be able to pick up
>>> your
>>> keytab files and run the CLI securely.
>>>
>>>
>>>
>>> As far as I know the option `security.kerberos.login.use-ticket-cache`
>>> doesn't actually change the behavior of the authentication process,
>>> it is
>>> more of a hint whether to use the ticket cache instantiated by
>>> `kinit`. If
>>> you disable using the ticket cache, you will have to use the
>>> "keytab/principle" approach - this doc [4] might be helpful to explain
>>> better.
>>>
>>>
>>>
>>> Thanks,
>>>
>>> Rong
>>>
>>>
>>>
>>>
>>>
>>> [1]
>>>
https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fci.apache.org%2Fprojects%2Fflink%2Fflink-docs-stable%2Fops%2Fdeployment%2Fyarn_setup.html%23start-flink-session&data=02%7C01%7Cj.gentile%40criteo.com%7C6078fcc4ad06497baf3b08d795d7358e%7C2a35d8fd574d48e3927c8c398e225a01%7C1%7C0%7C637142623860615798&sdata=%2BS5ctybPpB6ReIsLiRI3ltssY9w0NBf3Q5WG1Gady%2Bk%3D&reserved=0
>>>
>>>
<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fci.apache.org%2Fprojects%2Fflink%2Fflink-docs-stable%2Fops%2Fdeployment%2Fyarn_setup.html%23start-flink-session&data=02%7C01%7Cj.gentile%40criteo.com%7C6078fcc4ad06497baf3b08d795d7358e%7C2a35d8fd574d48e3927c8c398e225a01%7C1%7C0%7C637142623860615798&sdata=%2BS5ctybPpB6ReIsLiRI3ltssY9w0NBf3Q5WG1Gady%2Bk%3D&reserved=0>
>>>
>>>
>>> [2]
>>>
https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fci.apache.org%2Fprojects%2Fflink%2Fflink-docs-stable%2Fops%2Fsecurity-kerberos.html%23using-kinit-yarn-only&data=02%7C01%7Cj.gentile%40criteo.com%7C6078fcc4ad06497baf3b08d795d7358e%7C2a35d8fd574d48e3927c8c398e225a01%7C1%7C0%7C637142623860615798&sdata=%2FMmtvg%2BNMV6RO0tttGOZtrzV%2BEZLy7znWcWhUuZ2ipw%3D&reserved=0
>>>
>>>
<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fci.apache.org%2Fprojects%2Fflink%2Fflink-docs-stable%2Fops%2Fsecurity-kerberos.html%23using-kinit-yarn-only&data=02%7C01%7Cj.gentile%40criteo.com%7C6078fcc4ad06497baf3b08d795d7358e%7C2a35d8fd574d48e3927c8c398e225a01%7C1%7C0%7C637142623860615798&sdata=%2FMmtvg%2BNMV6RO0tttGOZtrzV%2BEZLy7znWcWhUuZ2ipw%3D&reserved=0>
>>>
>>>
>>> [3]
>>>
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>>>
>>>
<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fci.apache.org%2Fprojects%2Fflink%2Fflink-docs-stable%2Fops%2Fsecurity-kerberos.html%23yarnmesos-mode&data=02%7C01%7Cj.gentile%40criteo.com%7C6078fcc4ad06497baf3b08d795d7358e%7C2a35d8fd574d48e3927c8c398e225a01%7C1%7C0%7C637142623860615798&sdata=bXNkHqSGhSplvoS2XG1%2Bi7KEpuJUWCsGAEHqhfZcQUY%3D&reserved=0>
>>>
>>>
>>> [4]
>>>
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>>>
>>>
<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fci.apache.org%2Fprojects%2Fflink%2Fflink-docs-release-1.9%2Fdev%2Fconnectors%2Fkafka.html%23enabling-kerberos-authentication-for-versions-09-and-above-only&data=02%7C01%7Cj.gentile%40criteo.com%7C6078fcc4ad06497baf3b08d795d7358e%7C2a35d8fd574d48e3927c8c398e225a01%7C1%7C0%7C637142623860615798&sdata=b0Mgd9iSzk%2BnMlOaZXBtACUEoPcNbOhGGsJ7%2BtMtPaI%3D&reserved=0>
>>>
>>>
>>>
>>>
>>> On Fri, Jan 3, 2020 at 7:20 AM Chesnay Schepler <ches...@apache.org>
>>> wrote:
>>>
>>> From what I understand from the documentation, if you want to use
>>> delegation tokens you always first have to issue a ticket using
>>> kinit; so
>>> you did everything correctly?
>>>
>>>
>>>
>>> On 02/01/2020 13:00, Juan Gentile wrote:
>>>
>>> Hello,
>>>
>>>
>>>
>>> Im trying to submit a job (batch worcount) to a Yarn cluster. I’m trying
>>> to use delegation tokens and I’m getting the following error:
>>>
>>> *org.apache.flink.client.deployment.ClusterDeploymentException: Couldn't
>>> deploy Yarn session cluster*
>>>
>>> * at
>>>
org.apache.flink.yarn.AbstractYarnClusterDescriptor.deploySessionCluster(AbstractYarnClusterDescriptor.java:423)*
>>>
>>>
>>> * at
>>>
org.apache.flink.client.cli.CliFrontend.runProgram(CliFrontend.java:262)*
>>>
>>>
>>> * at
>>> org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:216)*
>>>
>>> * at
>>>
org.apache.flink.client.cli.CliFrontend.parseParameters(CliFrontend.java:1053)*
>>>
>>>
>>> * at
>>>
org.apache.flink.client.cli.CliFrontend.lambda$main$11(CliFrontend.java:1129)*
>>>
>>>
>>> * at java.security.AccessController.doPrivileged(Native
>>> Method)*
>>>
>>> * at javax.security.auth.Subject.doAs(Subject.java:422)*
>>>
>>> * at
>>>
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1920)*
>>>
>>>
>>> * at
>>>
org.apache.flink.runtime.security.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41)*
>>>
>>>
>>> * at
>>> org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:1129)*
>>>
>>> *Caused by: org.apache.hadoop.ipc.RemoteException(java.io.IOException):
>>> Delegation Token can be issued only with kerberos or web authentication*
>>>
>>> * at
>>>
org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getDelegationToken(FSNamesystem.java:7560)*
>>>
>>>
>>> * at
>>>
org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.getDelegationToken(NameNodeRpcServer.java:548)*
>>>
>>>
>>> * at
>>>
org.apache.hadoop.hdfs.server.namenode.AuthorizationProviderProxyClientProtocol.getDelegationToken(AuthorizationProviderProxyClientProtocol.java:663)*
>>>
>>>
>>> * at
>>>
org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.getDelegationToken(ClientNamenodeProtocolServerSideTranslatorPB.java:981)*
>>>
>>>
>>> * at
>>>
org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)*
>>>
>>>
>>> * at
>>>
org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:617)*
>>>
>>>
>>> * at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1073)*
>>>
>>> * at
>>> org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2221)*
>>>
>>> * at
>>> org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2217)*
>>>
>>> * at java.security.AccessController.doPrivileged(Native
>>> Method)*
>>>
>>> * at javax.security.auth.Subject.doAs(Subject.java:422)*
>>>
>>> * at
>>>
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1920)*
>>>
>>>
>>> * at
>>> org.apache.hadoop.ipc.Server$Handler.run(Server.java:2215) *
>>>
>>> * at org.apache.hadoop.ipc.Client.call(Client.java:1472)*
>>>
>>> * at org.apache.hadoop.ipc.Client.call(Client.java:1409)*
>>>
>>> * at
>>>
org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:230)*
>>>
>>>
>>> * at com.sun.proxy.$Proxy18.getDelegationToken(Unknown
>>> Source)*
>>>
>>> * at
>>>
org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getDelegationToken(ClientNamenodeProtocolTranslatorPB.java:928)*
>>>
>>>
>>> * at sun.reflect.NativeMethodAccessorImpl.invoke0(Native
>>> Method)*
>>>
>>> * at
>>>
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)*
>>>
>>>
>>> * at
>>>
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)*
>>>
>>>
>>> * at java.lang.reflect.Method.invoke(Method.java:498)*
>>>
>>> * at
>>>
org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:256)*
>>>
>>>
>>> * at
>>>
org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:104)*
>>>
>>>
>>> * at com.sun.proxy.$Proxy19.getDelegationToken(Unknown
>>> Source)*
>>>
>>> * at
>>>
org.apache.hadoop.hdfs.DFSClient.getDelegationToken(DFSClient.java:1082)*
>>>
>>>
>>> * at
>>>
org.apache.hadoop.hdfs.DistributedFileSystem.getDelegationToken(DistributedFileSystem.java:1499)*
>>>
>>>
>>> * at
>>>
org.apache.hadoop.fs.FileSystem.collectDelegationTokens(FileSystem.java:546)*
>>>
>>>
>>> * at
>>>
org.apache.hadoop.fs.FileSystem.collectDelegationTokens(FileSystem.java:557)*
>>>
>>>
>>> * at
>>>
org.apache.hadoop.fs.FileSystem.addDelegationTokens(FileSystem.java:524)*
>>>
>>>
>>> * at
>>>
org.apache.hadoop.mapreduce.security.TokenCache.obtainTokensForNamenodesInternal(TokenCache.java:140)*
>>>
>>>
>>> * at
>>>
org.apache.hadoop.mapreduce.security.TokenCache.obtainTokensForNamenodesInternal(TokenCache.java:100)*
>>>
>>>
>>> * at
>>>
org.apache.hadoop.mapreduce.security.TokenCache.obtainTokensForNamenodes(TokenCache.java:80)*
>>>
>>>
>>> * at
>>> org.apache.flink.yarn.Utils.setTokensFor(Utils.java:235)*
>>>
>>> * at
>>>
org.apache.flink.yarn.AbstractYarnClusterDescriptor.startAppMaster(AbstractYarnClusterDescriptor.java:972)*
>>>
>>>
>>> * at
>>>
org.apache.flink.yarn.AbstractYarnClusterDescriptor.deployInternal(AbstractYarnClusterDescriptor.java:545)*
>>>
>>>
>>> * at
>>>
org.apache.flink.yarn.AbstractYarnClusterDescriptor.deploySessionCluster(AbstractYarnClusterDescriptor.java:416)*
>>>
>>>
>>>
>>>
>>> The kerberos configuration in this case is the default one. Then I tried
>>> with this option set to false ‘security.kerberos.login.use-ticket-cache‘
>>> but I get the same error.
>>>
>>> I was able to solve the problem by issuing a ticket (with kinit) but I’d
>>> like to know if it’s possible to make flink work with delegation
>>> tokens and
>>> if so what is the right config.
>>>
>>>
>>>
>>> Thank you,
>>>
>>> Juan
>>>
>>>
>>>
>>>
>>
