hive-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Hive QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-10165) Improve hive-hcatalog-streaming extensibility and support updates and deletes.
Date Mon, 15 Jun 2015 15:56:00 GMT

    [ https://issues.apache.org/jira/browse/HIVE-10165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14586234#comment-14586234
] 

Hive QA commented on HIVE-10165:
--------------------------------



{color:red}Overall{color}: -1 at least one tests failed

Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12739615/HIVE-10165.7.patch

{color:red}ERROR:{color} -1 due to 3 failed/errored test(s), 9085 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_join28
org.apache.hive.hcatalog.hbase.TestPigHBaseStorageHandler.org.apache.hive.hcatalog.hbase.TestPigHBaseStorageHandler
org.apache.hive.hcatalog.streaming.TestStreaming.testTransactionBatchAbort
{noformat}

Test results: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/4268/testReport
Console output: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/4268/console
Test logs: http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-4268/

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 3 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12739615 - PreCommit-HIVE-TRUNK-Build

> Improve hive-hcatalog-streaming extensibility and support updates and deletes.
> ------------------------------------------------------------------------------
>
>                 Key: HIVE-10165
>                 URL: https://issues.apache.org/jira/browse/HIVE-10165
>             Project: Hive
>          Issue Type: Improvement
>          Components: HCatalog
>    Affects Versions: 1.2.0
>            Reporter: Elliot West
>            Assignee: Elliot West
>              Labels: streaming_api
>         Attachments: HIVE-10165.0.patch, HIVE-10165.4.patch, HIVE-10165.5.patch, HIVE-10165.6.patch,
HIVE-10165.7.patch, mutate-system-overview.png
>
>
> h3. Overview
> I'd like to extend the [hive-hcatalog-streaming|https://cwiki.apache.org/confluence/display/Hive/Streaming+Data+Ingest]
API so that it also supports the writing of record updates and deletes in addition to the
already supported inserts.
> h3. Motivation
> We have many Hadoop processes outside of Hive that merge changed facts into existing
datasets. Traditionally we achieve this by: reading in a ground-truth dataset and a modified
dataset, grouping by a key, sorting by a sequence and then applying a function to determine
inserted, updated, and deleted rows. However, in our current scheme we must rewrite all partitions
that may potentially contain changes. In practice the number of mutated records is very small
when compared with the records contained in a partition. This approach results in a number
of operational issues:
> * Excessive amount of write activity required for small data changes.
> * Downstream applications cannot robustly read these datasets while they are being updated.
> * Due to scale of the updates (hundreds or partitions) the scope for contention is high.

> I believe we can address this problem by instead writing only the changed records to
a Hive transactional table. This should drastically reduce the amount of data that we need
to write and also provide a means for managing concurrent access to the data. Our existing
merge processes can read and retain each record's {{ROW_ID}}/{{RecordIdentifier}} and pass
this through to an updated form of the hive-hcatalog-streaming API which will then have the
required data to perform an update or insert in a transactional manner. 
> h3. Benefits
> * Enables the creation of large-scale dataset merge processes  
> * Opens up Hive transactional functionality in an accessible manner to processes that
operate outside of Hive.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Mime
View raw message