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From "Hive QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-20911) External Table Replication for Hive
Date Thu, 13 Dec 2018 15:29:00 GMT

    [ https://issues.apache.org/jira/browse/HIVE-20911?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16720301#comment-16720301
] 

Hive QA commented on HIVE-20911:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12951649/HIVE-20911.02.patch

{color:green}SUCCESS:{color} +1 due to 5 test(s) being added or modified.

{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 15659 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[repl_2_exim_basic] (batchId=85)
org.apache.hadoop.hive.ql.exec.repl.TestReplDumpTask.removeDBPropertyToPreventRenameWhenBootstrapDumpOfTableFails
(batchId=315)
{noformat}

Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/15298/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/15298/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-15298/

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.YetusPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 2 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12951649 - PreCommit-HIVE-Build

> External Table Replication for Hive
> -----------------------------------
>
>                 Key: HIVE-20911
>                 URL: https://issues.apache.org/jira/browse/HIVE-20911
>             Project: Hive
>          Issue Type: Bug
>          Components: HiveServer2
>    Affects Versions: 4.0.0
>            Reporter: anishek
>            Assignee: anishek
>            Priority: Critical
>              Labels: pull-request-available
>             Fix For: 4.0.0
>
>         Attachments: HIVE-20911.01.patch, HIVE-20911.02.patch
>
>
> External tables are not replicated currently as part of hive replication. As part of
this jira we want to enable that.
> Approach:
> * Target cluster will have a top level base directory config that will be used to copy
all data relevant to external tables. This will be provided via the *with* clause in the *repl
load* command. This base path will be prefixed to the path of the same external table on source
cluster.
> * Since changes to directories on the external table can happen without hive knowing
it, hence we cant capture the relevant events when ever new data is added or removed, we will
have to copy the data from the source path to target path for external tables every time we
run incremental replication.
> ** this will require incremental *repl dump*  to now create an additional file *\_external\_tables\_info*
with data in the following form 
> {code}
> tableName,base64Encoded(tableDataLocation)
> {code}
> In case there are different partitions in the table pointing to different locations there
will be multiple entries in the file for the same table name with location pointing to different
partition locations. For partitions created in a table without specifying the _set location_
command will be within the same table Data location and hence there will not be different
entries in the file above 
> ** *repl load* will read the  *\_external\_tables\_info* to identify what locations are
to be copied from source to target and create corresponding tasks for them.
> * New External tables will be created with metadata only with no data copied as part
of regular tasks while incremental load/bootstrap load.
> * Bootstrap dump will also create  *\_external\_tables\_info* which will be used to copy
data from source to target  as part of boostrap load.
> * Bootstrap load will create a DAG, that can use parallelism in the execution phase,
the hdfs copy related tasks are created, once the bootstrap phase is complete.
> * Since incremental load results in a DAG with only sequential execution ( events applied
in sequence ) to effectively use the parallelism capability in execution mode, we create tasks
for hdfs copy along with the incremental DAG. This requires a few basic calculations to approximately
meet the configured value in  "hive.repl.approx.max.load.tasks" 



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