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https://issues.apache.org/jira/browse/HIVE-3445?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13450434#comment-13450434
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Namit Jain commented on HIVE-3445:
----------------------------------
set hive.internal.ddl.list.bucketing.enable=true;
set hive.optimize.skewjoinoptimization = true;
-- testing skew on other data types - int
CREATE TABLE T1(key INT, val STRING) SKEWED BY (key) ON ((2));
CREATE TABLE T2(key STRING, val STRING) SKEWED BY (key) ON ((3)) STORED AS
TEXTFILE;
EXPLAIN
SELECT a.*, b.* FROM T1 a JOIN T2 b ON a.key = b.key;
The join keys for the two tables are different.
Ideally, the skew join optimization would still work for this, since the udf
converting the join keys has a
one-one mapping. Instead of hard-coding this logic in SkewJoinOptimizer, it
would be cleaner to create a new
annotation oneToOne, which would be valid for the type conversion udfs.
> Skewed join optimization for different datatypes
> ------------------------------------------------
>
> Key: HIVE-3445
> URL: https://issues.apache.org/jira/browse/HIVE-3445
> Project: Hive
> Issue Type: Bug
> Components: Query Processor
> Reporter: Namit Jain
> Assignee: Namit Jain
>
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