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https://issues.apache.org/jira/browse/IMPALA-7560?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17420630#comment-17420630
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ASF subversion and git services commented on IMPALA-7560:
---------------------------------------------------------
Commit 8862719d87ac5dc214985025463f002d41b15672 in impala's branch
refs/heads/branch-4.0.1 from liuyao
[ https://gitbox.apache.org/repos/asf?p=impala.git;h=8862719 ]
IMPALA-7560: Set selectivity of Not-equal
Calculate binary predicate selectivity if one of the children is
a slotref and the other children are all constant.
eg. something like "col != 5", but not "2 * col != 10"
selectivity = 1 - 1/ndv
Testing:
Modify the function testNeSelectivity() of the
ExprCardinalityTest.java, change -1 to the correct value.
Change-Id: Icd6f5945840ea2a8194d72aa440ddfa6915cbb3a
Reviewed-on: http://gerrit.cloudera.org:8080/17344
Reviewed-by: Qifan Chen <qc...@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenk...@cloudera.com>
Reviewed-by: Zoltan Borok-Nagy <borokna...@cloudera.com>
> Better selectivity estimate for != (not equals) binary predicate
> ----------------------------------------------------------------
>
> Key: IMPALA-7560
> URL: https://issues.apache.org/jira/browse/IMPALA-7560
> Project: IMPALA
> Issue Type: Bug
> Components: Frontend
> Affects Versions: Impala 2.8.0, Impala 2.9.0, Impala 2.10.0, Impala
> 2.12.0, Impala 2.13.0
> Reporter: Bharath Vissapragada
> Assignee: liuyao
> Priority: Major
> Fix For: Impala 4.1.0
>
>
> Currently we use the default selectivity estimate for any binary predicate
> with op other than EQ / NON_DISTINCT.
> {noformat}
> // Determine selectivity
> // TODO: Compute selectivity for nested predicates.
> // TODO: Improve estimation using histograms.
> Reference<SlotRef> slotRefRef = new Reference<SlotRef>();
> if ((op_ == Operator.EQ || op_ == Operator.NOT_DISTINCT)
> && isSingleColumnPredicate(slotRefRef, null)) {
> long distinctValues = slotRefRef.getRef().getNumDistinctValues();
> if (distinctValues > 0) {
> selectivity_ = 1.0 / distinctValues;
> selectivity_ = Math.max(0, Math.min(1, selectivity_));
> }
> }
> {noformat}
> This can give very conservative estimates. For example:
> {noformat}
> [localhost:21000] tpch> select * from nation where n_regionkey != 1;
> [localhost:21000] tpch> summary;
> +--------------+--------+----------+----------+-------+------------+-----------+---------------+-------------+
> | Operator | #Hosts | Avg Time | Max Time | *#Rows* | *Est. #Rows* | Peak
> Mem | Est. Peak Mem | Detail |
> +--------------+--------+----------+----------+-------+------------+-----------+---------------+-------------+
> | 00:SCAN HDFS | 1 | 3.32ms | 3.32ms | *20* | *3* |
> 143.00 KB | 16.00 MB | tpch.nation |
> +--------------+--------+----------+----------+-------+------------+-----------+---------------+-------------+
> [localhost:21000] tpch>
> {noformat}
> Ideally we could've inversed the selecitivity to 4/5 (=1 - 1/5) that can
> give better estimate.
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