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This is an automatically generated e-mail. To reply, visit:
https://reviews.apache.org/r/42508/
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(Updated Jan. 25, 2016, 4:36 p.m.)


Review request for hive, Chaoyu Tang, Szehon Ho, and Xuefu Zhang.


Changes
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Attached patch-3: simplify the copy and compare objects using 
ObjectInspectorUtils.


Repository: hive-git


Description
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HIVE-12889: Support COUNT(DISTINCT) for partitioning query.


Diffs (updated)
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  data/files/windowing_distinct.txt PRE-CREATION 
  
ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/functions/HiveSqlCountAggFunction.java
 7937040 
  
ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/functions/HiveSqlSumAggFunction.java
 8f62970 
  
ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/PlanModifierForASTConv.java
 e2fbb4f 
  
ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/SqlFunctionConverter.java
 37249f9 
  ql/src/java/org/apache/hadoop/hive/ql/parse/CalcitePlanner.java 3fefbd7 
  ql/src/java/org/apache/hadoop/hive/ql/parse/IdentifiersParser.g 15ca754 
  ql/src/java/org/apache/hadoop/hive/ql/parse/PTFInvocationSpec.java 29b8510 
  ql/src/java/org/apache/hadoop/hive/ql/parse/SemanticAnalyzer.java 5ff90a6 
  ql/src/java/org/apache/hadoop/hive/ql/parse/WindowingSpec.java a181f7c 
  ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDAFCount.java 
eaf112e 
  ql/src/test/queries/clientpositive/windowing_distinct.q PRE-CREATION 
  ql/src/test/results/clientpositive/windowing_distinct.q.out PRE-CREATION 
  
serde/src/java/org/apache/hadoop/hive/serde2/objectinspector/ObjectInspectorUtils.java
 7a13eb0 

Diff: https://reviews.apache.org/r/42508/diff/


Testing
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Support count(distinct) over partitioning window. 

1. Enabling the parser to properly parse such query "count(distinct) over 
(partition by c1)";
2. ORDER BY and windowing frame won't work with the functions of distinct due 
to performance concern and implementation requirement.
3. We insert the distinct fields into the order by list, so during counting, we 
only need to compare the current row against the previous remembered row.


Thanks,

Aihua Xu

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