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From "Kevin Wilfong" <>
Subject Re: Review Request: Use sorted nature of compact indexes
Date Tue, 01 Nov 2011 23:56:58 GMT

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(Updated 2011-11-01 23:56:58.062678)

Review request for hive, Yongqiang He, Ning Zhang, and namit jain.


Thanks for the feedback Namit.  This diff should address all of your comments that I haven't
already addressed with my own comments.

The most notable change in this diff is that the BinarySearchRecordReader can now be used
for both HiveInputFormat and CombineHiveInputFormat.  Their respective record readers now
inherit from BinarySearchRecordReader, and the CompactIndexHandler sets a variable representing
whether or not the BinarySearchRecordReader should attempt to run its optimized search algorithm
on the data.  If that variable is not set, the record readers behave exactly as they did before.

I updated the tests I added and verified they passed.  I also ran the tests most likely to
be affected, notably any tests related to indexes, and verified they still passed.


The CompactIndexHandler determines if the reentrant query it creates is a candidate for using
the fact the index is sorted (it has an appropriate number of non-partition conditions, and
the query plan is of the form expected).  It sets the input format to HiveSortedInputFormat,
and marks the FilterOperator for the non-partition condition.

The HiveSortedInputFormat is extends HiveInputFormat, so its splits consist of data from a
single file, and its record reader is HiveBinarySearchRecordReader.  HiveBinarySearchRecordReader
starts by assuming it is performing a binary search.  It sets the appropriate flags in IOContext,
which acts as the means of communication between the FilterOperators and the record reader.
 The non-partition FilterOperator is responsible for executing a comparison between the value
in the row and column of interest and the constant.  It also provides the type of the generic
UDF.  It sets this data in the IOContext.  As long as the binary search continues the FilterOperators
do not forward rows to the operators below them.  The record reader uses the comparison and
the type of the generic UDF to execute a binary search on the underlying RCFile until it finds
the block of interest, or determines that if any block is of interest it is the last one.
 The search then proceeds linearly from the beginning of the identified block.  If ever in
the binary search a problem occurs, like the comparison fails for some reason, a linear search
begins from the beginning of the data which has yet to be eliminated.

Regardless of whether or not a binary search is performed, the record reader attempts to end
the linear search as soon as it can based on the comparison and the type of the generic UDF.

This addresses bug HIVE-2535.

Diffs (updated)

  trunk/common/src/java/org/apache/hadoop/hive/conf/ 1183507 
  trunk/conf/hive-default.xml 1183507 
  trunk/ql/src/java/org/apache/hadoop/hive/ql/exec/ 1183507 
  trunk/ql/src/java/org/apache/hadoop/hive/ql/exec/ 1183507

  trunk/ql/src/java/org/apache/hadoop/hive/ql/exec/ 1183507 
  trunk/ql/src/java/org/apache/hadoop/hive/ql/index/compact/ 1183507

  trunk/ql/src/java/org/apache/hadoop/hive/ql/io/ 1183507 
  trunk/ql/src/java/org/apache/hadoop/hive/ql/io/ PRE-CREATION

  trunk/ql/src/java/org/apache/hadoop/hive/ql/io/ 1183507 
  trunk/ql/src/java/org/apache/hadoop/hive/ql/io/ 1183507 
  trunk/ql/src/java/org/apache/hadoop/hive/ql/io/ 1183507 
  trunk/ql/src/java/org/apache/hadoop/hive/ql/io/ 1183507 
  trunk/ql/src/java/org/apache/hadoop/hive/ql/io/ 1183507 
  trunk/ql/src/java/org/apache/hadoop/hive/ql/plan/ 1183507 
  trunk/ql/src/java/org/apache/hadoop/hive/ql/plan/ 1183507 
  trunk/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/ 1183507

  trunk/ql/src/test/org/apache/hadoop/hive/ql/io/ PRE-CREATION

  trunk/ql/src/test/queries/clientpositive/index_compact_binary_search.q PRE-CREATION 
  trunk/ql/src/test/results/clientpositive/index_compact_binary_search.q.out PRE-CREATION



I added a test to verify the functionality of the HiveBinarySearchRecordReader.

I also added a .q file to test that this returns the correct results when the underlying index
is stored in an RCFile and when it is stored in as a text file, with all of the supported

I ran the .q files to verify they still pass.

I ran some queries to verify there was a CPU benefit to doing this.  I saw as much as a 45%
reduction in the total CPU used by the map reduce job to scan the index, for a large data



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