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https://issues.apache.org/jira/browse/HIVE-25975?focusedWorklogId=734499&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-734499
]
ASF GitHub Bot logged work on HIVE-25975:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 01/Mar/22 10:50
Start Date: 01/Mar/22 10:50
Worklog Time Spent: 10m
Work Description: pvary commented on a change in pull request #3060:
URL: https://github.com/apache/hive/pull/3060#discussion_r816657703
##########
File path:
ql/src/java/org/apache/hadoop/hive/ql/optimizer/SortedDynPartitionOptimizer.java
##########
@@ -521,34 +570,45 @@ private void inferSortPositions(Operator<? extends
OperatorDesc> fsParent,
}
}
- public ReduceSinkOperator getReduceSinkOp(List<Integer> partitionPositions,
- List<Integer> sortPositions, List<Integer> sortOrder, List<Integer>
sortNullOrder,
- ArrayList<ExprNodeDesc> allCols, ArrayList<ExprNodeDesc>
bucketColumns, int numBuckets,
- Operator<? extends OperatorDesc> parent, AcidUtils.Operation
writeType) throws SemanticException {
+ public ReduceSinkOperator getReduceSinkOp(List<Integer>
partitionPositions, List<Integer> sortPositions,
+ List<Function<List<ExprNodeDesc>, ExprNodeDesc>> customSortExprs,
List<Integer> sortOrder,
+ List<Integer> sortNullOrder, ArrayList<ExprNodeDesc> allCols,
ArrayList<ExprNodeDesc> bucketColumns,
+ int numBuckets, Operator<? extends OperatorDesc> parent,
AcidUtils.Operation writeType) {
+
+ // Order of KEY columns, if custom sort is present partition and bucket
columns are disregarded:
+ // 0) Custom sort expressions
+ // 1) Partition columns
+ // 2) Bucket number column
Review comment:
nit: formatting
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Issue Time Tracking
-------------------
Worklog Id: (was: 734499)
Time Spent: 2h 20m (was: 2h 10m)
> Optimize ClusteredWriter for bucketed Iceberg tables
> ----------------------------------------------------
>
> Key: HIVE-25975
> URL: https://issues.apache.org/jira/browse/HIVE-25975
> Project: Hive
> Issue Type: Improvement
> Reporter: Ádám Szita
> Assignee: Ádám Szita
> Priority: Major
> Labels: pull-request-available
> Time Spent: 2h 20m
> Remaining Estimate: 0h
>
> The first version of the ClusteredWriter in Hive-Iceberg will be lenient for
> bucketed tables: i.e. the records do not need to be ordered by the bucket
> values, the writer will just close its current file and open a new one for
> out-of-order records.
> This is suboptimal for the long-term due to creating many small files. Spark
> uses a UDF to compute the bucket value for each record and therefore it is
> able to order the records by bucket values, achieving optimal clustering.
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