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https://issues.apache.org/jira/browse/HIVE-4660?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13719024#comment-13719024
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Hitesh Shah commented on HIVE-4660:
-----------------------------------
[~appodictic] Answering the questions raised in
https://issues.apache.org/jira/browse/HIVE-4660?focusedCommentId=13717840&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-13717840
:
- In the GroupbyOrderBy example, the intermediate reducer, the key-value
output that it generates is in the form of <count of occurrence of word, the
word itself>. As part of shuffle ( similar to mapreduce ), this will
automatically partition and sort based on the key.
- There is no total order as such provided by tez. In this case, the final
reducer has a single reduce task which ends up creating the total ordering.
Feel free to post more questions to [email protected]
> Let there be Tez
> ----------------
>
> Key: HIVE-4660
> URL: https://issues.apache.org/jira/browse/HIVE-4660
> Project: Hive
> Issue Type: New Feature
> Reporter: Gunther Hagleitner
> Assignee: Gunther Hagleitner
>
> Tez is a new application framework built on Hadoop Yarn that can execute
> complex directed acyclic graphs of general data processing tasks. Here's the
> project's page: http://incubator.apache.org/projects/tez.html
> The interesting thing about Tez from Hive's perspective is that it will over
> time allow us to overcome inefficiencies in query processing due to having to
> express every algorithm in the map-reduce paradigm.
> The barrier to entry is pretty low as well: Tez can actually run unmodified
> MR jobs; But as a first step we can without much trouble start using more of
> Tez' features by taking advantage of the MRR pattern.
> MRR simply means that there can be any number of reduce stages following a
> single map stage - without having to write intermediate results to HDFS and
> re-read them in a new job. This is common when queries require multiple
> shuffles on keys without correlation (e.g.: join - grp by - window function -
> order by)
> For more details see the design doc here:
> https://cwiki.apache.org/confluence/display/Hive/Hive+on+Tez
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