[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-05-19 Thread skonto
Github user skonto commented on the issue:

https://github.com/apache/spark/pull/20945
  
@vanzin correct.


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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-05-18 Thread AmplabJenkins
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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-05-18 Thread AmplabJenkins
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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-05-17 Thread vanzin
Github user vanzin commented on the issue:

https://github.com/apache/spark/pull/20945
  
I actually can't close this, only you can.

If the DC/OS libraries are open source and something people can pull in by 
changing `mesos.version` or some other build-time parameter, you could 
potentially use reflection; we've done that many times for YARN.

But otherwise it'd be a little awkward to add the code to Spark.


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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-05-17 Thread skonto
Github user skonto commented on the issue:

https://github.com/apache/spark/pull/20945
  
@vanzin here is the fix that works for DC/OS: 
https://github.com/mesosphere/spark/pull/26
Unfortunately I cannot bring it back here.


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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-04-07 Thread skonto
Github user skonto commented on the issue:

https://github.com/apache/spark/pull/20945
  
@susanxhuynh Unfortunately I cannot unify the APIs even for DC/OS, 1.10.x 
is different from 1.11.x 
(https://docs.mesosphere.com/services/spark/2.3.0-2.2.1-2/security/) and code 
is dependent on this (I played a bit with the DC/OS secret store API), not to 
mention other APIs out there. This would require a a generic secrets API at the 
pure mesos level (like in k8s) so I don't see a viable solution for now, unless 
I manage to restrict access to the TGT in client mode and essentially make it 
safe.


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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-04-06 Thread skonto
Github user skonto commented on the issue:

https://github.com/apache/spark/pull/20945
  
@susanxhuynh @vanzin 
It seems to me that if SPARK-20982 is fixed then from what I see all secret 
stores I searched provide an http API:

https://github.com/kubernetes/kubernetes/blob/09f321c80bfc9bca63a5530b56d7a1a3ba80ba9b/pkg/kubectl/cmd/util/factory_client_access.go#L473
https://www.vaultproject.io/api/index.html
https://docs.openshift.org/latest/rest_api/api/v1.Secret.html

https://v1-9.docs.kubernetes.io/docs/reference/generated/kubernetes-api/v1.9/#secret-v1-core
https://docs.mesosphere.com/1.8/administration/secrets/secrets-api/

So generating DTs at the first spark submit and then using an http API 
should be good enough, although all envs like k8s or DC/OS usually have a cli 
utility to do the job.



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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-04-05 Thread skonto
Github user skonto commented on the issue:

https://github.com/apache/spark/pull/20945
  
@vanzin Sure we will try to comply the thing is pure mesos does not have an 
api for secrets only DC/OS has one and we cannot bring that api in the Spark 
project, otherwise I would just implement option 1) as with yarn and everyone 
would be happy and secure ;)


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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-04-04 Thread vanzin
Github user vanzin commented on the issue:

https://github.com/apache/spark/pull/20945
  
SPARK-20982 doesn't look particularly hard to fix.

I don't understand the differences between plain Mesos and DC/OS so a lot 
of the things you're saying are over my head. I'm just concerned with the code 
that is present here in the Spark repo doing the right thing w.r.t. security, 
assuming whatever service it's talking to is secure.


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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-04-04 Thread skonto
Github user skonto commented on the issue:

https://github.com/apache/spark/pull/20945
  
@susanxhuynh the doAs call from hadoop libs on the proxy user in 
SparkSubmit is using  java.security.AccessController.doPrivileged at the java 
security level, what if I use a security manager policy to restrict file access 
to the TGT file:
http://www.informit.com/articles/article.aspx?p=1187967&seqNum=3.
Then this way untrusted code could access certain files.



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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-04-04 Thread susanxhuynh
Github user susanxhuynh commented on the issue:

https://github.com/apache/spark/pull/20945
  
(1) seems the most secure. How do we handle keytabs today in cluster mode 
in pure Mesos? Is it the same situation -- the keytab gets sent over a HTTP 
connection to the Dispatcher?

(3) Yes, the TGT secret would still be available from the secret store. 
There's currently no constraint based on a OS user.


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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-04-04 Thread skonto
Github user skonto commented on the issue:

https://github.com/apache/spark/pull/20945
  
@vanzin @susanxhuynh 

> - require the launcher to have a kerberos login, and send DTs to the 
application. a.k.a. what Spark-on-YARN does.
> - in the code that launches the driver on the Mesos side, create the DTs 
in a safe context (e.g. not as part of the spark-submit invocation) and provide 
them to the Spark driver using the HADOOP_TOKEN_FILE_LOCATION env var.

Option 1: Spark submit (launcher) could create the DTs locally as a utility 
function.
Then the user could upload them to secret store.
And then run the spark submit as usual referencing the DTs secret.
Due to https://issues.apache.org/jira/browse/SPARK-20982 we can not pass 
any info from the launcher side to the mesos dispatcher directly. Also we 
cannot write code in Spark Submit to integrate with secret store because this 
depends on the env. DC/OS has its own implementation and libs/API to integrate 
with it. 

Option 2: means that the dispatcher should create the DTs and pass them to 
the driver’s container as secrets. That means it should be able to fetch the 
superusers TGT from the secret store create the delegation tokens in an 
isolated manner (other drivers could be launched in parallel) and store them 
back to the secret store so that the driver to be launched can use them. Again 
this would require for the mesos dispatcher to be integrated with DCOS APIs, 
for example to access the  secret store you need an auth token to be passed and 
call a specific api 
https://docs.mesosphere.com/1.11.0/administration/secrets/secrets-api/.

Option 3: Spark submit within the container before it runs the user’s 
main it could create the DTs, save them to the local filesystem, point to them 
with HADOOP_TOKEN_FILE_LOCATION and then remove the TGT (/tmp/krb5cc_uid) (like 
kdestroy), so user code cannot use it to impersonate anyone.


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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-04-03 Thread skonto
Github user skonto commented on the issue:

https://github.com/apache/spark/pull/20945
  
@susanxhuynh the cache represents the ticket for the superuser since he 
needs to create a DT as nobody to impersonate nobody. The superuser has the 
right to impersonate. The ticket cache replaces the need to kinit with the 
superuser's keytab. I had to rename it because I am running within a container 
as user nobody anyway (didnt want to add a superuser in the container). My 
superuser is hive which does not exist on the DC/OS Spark container or the 
DC/OS nodes. 
The filename of the cache depends on the OS user not ugi current user:
[hadoop@ip-10-0-9-161 ~]$ klist
Ticket cache: FILE:/tmp/krb5cc_498
Default principal: nobody@LOCAL
Valid starting   Expires  Service principal
03/04/2018 11:15:37  03/04/2018 21:15:37  krbtgt/LOCAL@LOCAL
renew until 04/04/2018 11:15:37
[hadoop@ip-10-0-9-161 ~]$ id -u hadoop
498
In the above example the hadoop user has a ticketcache that has a suffix 
his uid. On the other hand the cache contains a principal for nobody, it could 
be anything. As long as the ticket cache has a valid principal for user X, 
kerberos is used, then hadoop libraries will see user X as the authenticated 
one.


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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-04-03 Thread skonto
Github user skonto commented on the issue:

https://github.com/apache/spark/pull/20945
  
@vanzin gentle ping.


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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-04-02 Thread susanxhuynh
Github user susanxhuynh commented on the issue:

https://github.com/apache/spark/pull/20945
  
@skonto Basic question: in your example above, which user does the 
"krb5cc_65534" ticket cache belong to? The superuser or the proxy-user 
("nobody")?


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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-04-01 Thread skonto
Github user skonto commented on the issue:

https://github.com/apache/spark/pull/20945
  
retest this please


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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-04-01 Thread skonto
Github user skonto commented on the issue:

https://github.com/apache/spark/pull/20945
  
Failed unit test: 
org.apache.spark.launcher.LauncherServerSuite.testAppHandleDisconnect
Will re-test this is not from this patch.


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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-03-31 Thread skonto
Github user skonto commented on the issue:

https://github.com/apache/spark/pull/20945
  
@vanzin I think its on the right path now.


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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-03-30 Thread skonto
Github user skonto commented on the issue:

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I attach the log file of the last run with the updated PR.




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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-03-30 Thread skonto
Github user skonto commented on the issue:

https://github.com/apache/spark/pull/20945
  
@vanzin ok let's see if I understand correctly, so Spark Job's main is run 
via a proxy user if it exists, and then we use the real user for 
HiveDelegationTokenProvider just because the hive needs the real user to create 
the delegation token correctly. It cannot use the proxy user for that.  So for 
the session state I thought it was something that didnt have effect to the 
operations being done because in the results I saw, the tables created were not 
owned by the real user. It is weird.  I will follow the yarn's approach and use 
the delegation tokens already obtained and update this PR. What worries me is 
the HadoopRDD issue I noticed.  





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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-03-30 Thread vanzin
Github user vanzin commented on the issue:

https://github.com/apache/spark/pull/20945
  
I don't think this is right. You do not want to start the session as the 
real user. That's why you're using a proxy user in the first place - to 
identify as someone else to external services.

Aren't you just missing the delegation token for the proxy user?


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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-03-30 Thread SparkQA
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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

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[GitHub] spark issue #20945: [SPARK-23790][Mesos] fix metastore connection issue

2018-03-30 Thread skonto
Github user skonto commented on the issue:

https://github.com/apache/spark/pull/20945
  
@vanzin @susanxhuynh pls review, this probably needs backport to 2.3 also 
not sure if is ok with yarn.


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