spark-instrumented-optimizer/sql/core
Mykhailo Shtelma c48085aa91 [SPARK-23799][SQL] FilterEstimation.evaluateInSet produces devision by zero in a case of empty table with analyzed statistics
>What changes were proposed in this pull request?

During evaluation of IN conditions, if the source data frame, is represented by a plan, that uses hive table with columns, which were previously analysed, and the plan has conditions for these fields, that cannot be satisfied (which leads us to an empty data frame), FilterEstimation.evaluateInSet method produces NumberFormatException and ClassCastException.
In order to fix this bug, method FilterEstimation.evaluateInSet at first checks, if distinct count is not zero, and also checks if colStat.min and colStat.max  are defined, and only in this case proceeds with the calculation. If at least one of the conditions is not satisfied, zero is returned.

>How was this patch tested?

In order to test the PR two tests were implemented: one in FilterEstimationSuite, that tests the plan with the statistics that violates the conditions mentioned above,  and another one in StatisticsCollectionSuite, that test the whole process of analysis/optimisation of the query, that leads to the problems, mentioned in the first section.

Author: Mykhailo Shtelma <mykhailo.shtelma@bearingpoint.com>
Author: smikesh <mshtelma@gmail.com>

Closes #21052 from mshtelma/filter_estimation_evaluateInSet_Bugs.
2018-04-21 23:33:57 -07:00
..
benchmarks [SPARK-17335][SQL] Fix ArrayType and MapType CatalogString. 2016-09-03 19:02:20 +02:00
src [SPARK-23799][SQL] FilterEstimation.evaluateInSet produces devision by zero in a case of empty table with analyzed statistics 2018-04-21 23:33:57 -07:00
pom.xml [SPARK-19550][BUILD][FOLLOW-UP] Remove MaxPermSize for sql module 2018-01-15 07:49:34 -06:00