GitHub user wzhfy opened a pull request:
https://github.com/apache/spark/pull/17630
[SPARK-20318][SQL] Use Catalyst type for min/max in ColumnStat for ease of
estimation
## What changes were proposed in this pull request?
Currently when estimating predicates like col > literal or col = literal,
we will update min or max in column stats based on literal value. However,
literal value is of Catalyst type (internal type), while min/max is of external
type. This causes unnecessary conversion when comparing them and updating
column stats.
To solve this, we can use Catalyst type for min/max in ColumnStat for ease
of estimation. Note that the persistent form in metastore is still of external
type, so there's no inconsistency for statistics in metastore.
## How was this patch tested?
Covered by existing tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/wzhfy/spark refactorColumnStat
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/17630.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #17630
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