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https://issues.apache.org/jira/browse/HIVE-9824?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14499712#comment-14499712
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Gopal V commented on HIVE-9824:
-------------------------------
[~mmccline]: Here's a simplified test-case
{code}
explain select
s_state, count(1)
from store_sales,
store,
date_dim
where store_sales.ss_sold_date_sk = date_dim.d_date_sk and
store_sales.ss_store_sk = store.s_store_sk and
store.s_state in ('KS','AL', 'MN', 'AL', 'SC', 'VT')
group by s_state
order by s_state
limit 100;
{code}
> LLAP: Native Vectorization of Map Join so previously CPU bound queries shift
> their bottleneck to I/O and make it possible for the rest of LLAP to shine ;)
> ----------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: HIVE-9824
> URL: https://issues.apache.org/jira/browse/HIVE-9824
> Project: Hive
> Issue Type: Sub-task
> Reporter: Matt McCline
> Assignee: Matt McCline
> Priority: Critical
> Attachments: HIVE-9824.01.patch, HIVE-9824.02.patch
>
>
> Today's VectorMapJoinOperator is a pass-through that converts each row from a
> vectorized row batch in a Java Object[] row and passes it to the
> MapJoinOperator superclass.
> This enhancement creates specialized vectorized map join operator classes
> that are optimized.
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