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https://issues.apache.org/jira/browse/HIVE-4660?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gunther Hagleitner updated HIVE-4660:
-------------------------------------
Description:
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
was:
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:
> 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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