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https://issues.apache.org/jira/browse/HIVE-19269?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16447552#comment-16447552
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Matt McCline commented on HIVE-19269:
-------------------------------------
Overwhelming. Gave up at MiniSparkOnYarn. Going to have to turn on
vectorization on in several Drivers at a time.
* Unexpected Q output file differences:
** auto_join_without_localtask
** parquet_vectorization_0
** join0
** parallel_join0
** MiniTez: explainanalyze_1
** MiniTez: explainanalyze_4
** MiniTez: multi_count_distinct
** MiniTez: tez-tag
** MiniLlap: orc_ppd_basic
** MiniLlap: orc_ppd_schema_evol_3a
** MiniLlap: dynamic_semijoin_user_level
** MiniLlapLocal: orc_ppd_decimal
**
* Wrong results:
** Spark: bucketmapjoin9
** Spark: bucketmapjoin10
** Spark: semijoin
** Spark: skewjoin
** Spark: avro_decimal_native
** Spark: bucket_map_join_2
** Spark: bucket_map_join_1
** Spark: mapjoin_addjar
** Spark: mapjoin_decimal
** Spark: nullgroup
** MiniLlapLocal: offset_limit
** MiniLlapLocal: dynpart_sort_optimization
** MiniLlapLocal: lineage
** MiniLlapLocal: mapjoin46
** MiniLlapLocal: skiphf_aggr
** MiniLlapLocal: offset_limit_ppd_optimizer
* Failures:
** Spark: bucket_map_join_spark1
** Spark: bucket_map_join_spark2
** Spark: bucketsortoptimize_insert_8
** Spark: bucketsortoptimize_insert_6
** Spark: bucketsortoptimize_insert_4
** Spark: decimal_join
** Spark: mapjoin1
** Spark: bucketmapjoin5
** Spark: bucketmapjoin8
** Spark: bucketmapjoin7
** Spark: bucketmapjoin11
** Spark: bucketmapjoin12
** Spark: bucketmapjoin13
** Spark: bucket_map_join_spark3
** MiniLlapLocal: tez_join_result_complex
MiniLlapLocal: retry_failure
> Vectorization: Turn On by Default
> ---------------------------------
>
> Key: HIVE-19269
> URL: https://issues.apache.org/jira/browse/HIVE-19269
> Project: Hive
> Issue Type: Bug
> Components: Hive
> Reporter: Matt McCline
> Assignee: Matt McCline
> Priority: Critical
> Fix For: 3.0.0, 3.1.0
>
> Attachments: HIVE-19269.01.patch
>
>
> Reflect that our most expected Hive deployment will be using vectorization
> and change the default of hive.vectorized.execution.enabled to true.
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