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https://issues.apache.org/jira/browse/HIVE-17501?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thai Bui resolved HIVE-17501.
-----------------------------
Resolution: Duplicate
> Hive should allow default Tez sessions to be skipped
> ----------------------------------------------------
>
> Key: HIVE-17501
> URL: https://issues.apache.org/jira/browse/HIVE-17501
> Project: Hive
> Issue Type: Bug
> Components: Tez
> Affects Versions: 2.1.1, 2.2.0
> Environment: HDP 2.6.1.0-129, Hue 4.0
> Reporter: Thai Bui
>
> Hive2 w/ LLAP on Tez doesn't allow a currently used, default session to be
> skipped mostly because of this line
> https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/exec/tez/TezSessionPoolManager.java#L365.
> However, some clients such as Hue 4, allow multiple sessions to be used per
> user. Under this configuration, a Thrift client will send a request to either
> reuse or open a new session. The reuse request could include the session id
> of a currently used snippet being executed in Hue, this causes HS2 to throw
> an exception:
> {noformat}
> 2017-09-10T17:51:36,548 INFO [Thread-89]: tez.TezSessionPoolManager
> (TezSessionPoolManager.java:canWorkWithSameSession(512)) - The current user:
> hive, session user: hive
> 2017-09-10T17:51:36,549 ERROR [Thread-89]: exec.Task
> (TezTask.java:execute(232)) - Failed to execute tez graph.
> org.apache.hadoop.hive.ql.metadata.HiveException: The pool session
> sessionId=5b61a578-6336-41c5-860d-9838166f97fe, queueName=llap, user=hive,
> doAs=false, isOpen=true, isDefault=true, expires in 591015330ms should have
> been returned to the pool
> at
> org.apache.hadoop.hive.ql.exec.tez.TezSessionPoolManager.canWorkWithSameSession(TezSessionPoolManager.java:534)
> ~[hive-exec-2.1.0.2.6.1.0-129.jar:2.1.0.2.6.1.0-129]
> at
> org.apache.hadoop.hive.ql.exec.tez.TezSessionPoolManager.getSession(TezSessionPoolManager.java:544)
> ~[hive-exec-2.1.0.2.6.1.0-129.jar:2.1.0.2.6.1.0-129]
> at org.apache.hadoop.hive.ql.exec.tez.TezTask.execute(TezTask.java:147)
> [hive-exec-2.1.0.2.6.1.0-129.jar:2.1.0.2.6.1.0-129]
> at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:197)
> [hive-exec-2.1.0.2.6.1.0-129.jar:2.1.0.2.6.1.0-129]
> at
> org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:100)
> [hive-exec-2.1.0.2.6.1.0-129.jar:2.1.0.2.6.1.0-129]
> at org.apache.hadoop.hive.ql.exec.TaskRunner.run(TaskRunner.java:79)
> [hive-exec-2.1.0.2.6.1.0-129.jar:2.1.0.2.6.1.0-129]
> {noformat}
> Note that every query is issued as a single 'hive' user to share the LLAP
> daemon pool, a set of pre-determined number of AMs is initialized at setup
> time. Thus, HS2 should allow new sessions from a Thrift client to be used out
> of the pool, or an existing session to be skipped and an unused session from
> the pool to be returned. The logic to throw an exception in the
> `canWorkWithSameSession` doesn't make sense to me.
> I have a solution to fix this issue in my local branch at
> https://github.com/thaibui/hive/commit/078a521b9d0906fe6c0323b63e567f6eee2f3a70.
> When applied, the log will become like so
> {noformat}
> 2017-09-10T09:15:33,578 INFO [Thread-239]: tez.TezSessionPoolManager
> (TezSessionPoolManager.java:canWorkWithSameSession(533)) - Skipping default
> session sessionId=6638b1da-0f8a-405e-85f0-9586f484e6de, queueName=llap,
> user=hive, doAs=false, isOpen=true, isDefault=true, expires in 591868732ms
> since it is being used.
> {noformat}
> A test case is provided in my branch to demonstrate how it works. If possible
> I would like this patch to be applied to version 2.1, 2.2 and master. Since
> we are using 2.1 LLAP in production with Hue 4, this patch is critical to our
> success.
> Alternatively, if this patch is too broad in scope, I propose adding an
> option to allow "skipping of currently used default sessions". With this new
> option default to "false", existing behavior won't change unless the option
> is turned on.
> P/s: I'm not an contributor &/ committer, this will be my first time
> contributing to Hive and the Apache foundation. Any early review is greatly
> appreciated, thanks!
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