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https://issues.apache.org/jira/browse/HIVE-15573?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15834024#comment-15834024
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Gopal V commented on HIVE-15573:
--------------------------------
bq. there are cases where VectorExtractRow has to set Hive writable objects so
the Java hash code can be obtained.
The "easy case" is int/bigint, where hashCode() is an identity function.
cross-check this section, please for bucketFieldValues & partitionFieldValues?
NPE?
{code}
+ partitionVectorExtractRow.extractRow(batch, batchIndex,
partitionFieldValues);
+ hashCode = ObjectInspectorUtils.getBucketHashCode(bucketFieldValues,
partitionObjectInspectors);
{code}
> Vectorization: ACID shuffle ReduceSink is not specialized
> ----------------------------------------------------------
>
> Key: HIVE-15573
> URL: https://issues.apache.org/jira/browse/HIVE-15573
> Project: Hive
> Issue Type: Improvement
> Components: Transactions, Vectorization
> Affects Versions: 2.2.0
> Reporter: Gopal V
> Assignee: Matt McCline
> Fix For: 2.2.0
>
> Attachments: HIVE-15573.01.patch, HIVE-15573.02.patch,
> screenshot-1.png
>
>
> The ACID shuffle disabled murmur hash for the shuffle, due to the bucketing
> requirements demanding the writable hashcode for the shuffles.
> {code}
> boolean useUniformHash = desc.getReducerTraits().contains(UNIFORM);
> if (!useUniformHash) {
> return false;
> }
> {code}
> This check protects the fast ReduceSink ops from being used in ACID inserts.
> A specialized case for the following pattern will make ACID insert much
> faster.
> {code}
> Reduce Output Operator
> sort order:
> Map-reduce partition columns: _col0 (type: bigint)
> value expressions: ....
> {code}
> !screenshot-1.png!
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