GitHub user henryr opened a pull request:
https://github.com/apache/spark/pull/20740
[SPARK-23604][SQL] Change Statistics.isEmpty to !Statistics.hasNonNulâ¦
â¦lValue
## What changes were proposed in this pull request?
Parquet 1.9 will change the semantics of Statistics.isEmpty slightly
to reflect if the null value count has been set. That breaks a
timestamp interoperability test that cares only about whether there
are column values present in the statistics of a written file for an
INT96 column. Fix by using Statistics.hasNonNullValue instead.
## How was this patch tested?
Unit tests continue to pass against Parquet 1.8, and also pass against
a Parquet build including PARQUET-1217.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/henryr/spark spark-23604
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/20740.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 #20740
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commit b86c0bee16f85ad1f7d4e3351647ee5d0582d005
Author: Henry Robinson <henry@...>
Date: 2018-03-05T20:59:53Z
[SPARK-23604][SQL] Change Statistics.isEmpty to !Statistics.hasNonNullValue
## What changes were proposed in this pull request?
Parquet 1.9 will change the semantics of Statistics.isEmpty slightly
to reflect if the null value count has been set. That breaks a
timestamp interoperability test that cares only about whether there
are column values present in the statistics of a written file for an
INT96 column. Fix by using Statistics.hasNonNullValue instead.
## How was this patch tested?
Unit tests continue to pass against Parquet 1.8, and also pass against
a Parquet build including PARQUET-1217.
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