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https://issues.apache.org/jira/browse/HIVE-16530?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15995756#comment-15995756
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ASF GitHub Bot commented on HIVE-16530:
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GitHub user sankarh opened a pull request:
https://github.com/apache/hive/pull/176
HIVE-16530: Improve execution logs for REPL commands
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sankarh/hive HIVE-16530
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/hive/pull/176.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #176
----
commit d9a5e0aaf317cfdd60d1f2b62840e3f03d0fd1ac
Author: Sankar Hariappan <[email protected]>
Date: 2017-05-03T21:54:41Z
HIVE-16530: Improve execution logs for REPL commands
----
> Improve execution logs for REPL commands
> ----------------------------------------
>
> Key: HIVE-16530
> URL: https://issues.apache.org/jira/browse/HIVE-16530
> Project: Hive
> Issue Type: Sub-task
> Components: repl
> Affects Versions: 2.2.0
> Reporter: Sankar Hariappan
> Assignee: Sankar Hariappan
>
> This is the log format that is being proposed for Hive Repl query logs
> For bootstrap case:
> Hive will log a message for each object as it is being bootstrapped and it
> will be in the following sequence
> - Tables first (views are tables for this purpose) at time including
> partitions (depth first), followed by functions, constraints
> - The ordering is based on the ordering of listStatus API of HDFS
> - For each object, a message at the beginning of the replication will be
> logged
> - Every partition bootstrapped will be followed by a message saying the
> number of partitions bootstrapped so far (for the table) and the partition
> name
> - And a message at the end of bootstrap of an object
> Incremental case:
> - We will have DB Name, event id and event type will be part of the log
> header (for debugging/troubleshooting)
> - We will have information of current event ID and total number of events to
> replicate for every event replicated.
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