spark-instrumented-optimizer/mllib
Zhenhua Wang 655f6f86f8 [SPARK-22208][SQL] Improve percentile_approx by not rounding up targetError and starting from index 0
## What changes were proposed in this pull request?

Currently percentile_approx never returns the first element when percentile is in (relativeError, 1/N], where relativeError default 1/10000, and N is the total number of elements. But ideally, percentiles in [0, 1/N] should all return the first element as the answer.

For example, given input data 1 to 10, if a user queries 10% (or even less) percentile, it should return 1, because the first value 1 already reaches 10%. Currently it returns 2.

Based on the paper, targetError is not rounded up, and searching index should start from 0 instead of 1. By following the paper, we should be able to fix the cases mentioned above.

## How was this patch tested?

Added a new test case and fix existing test cases.

Author: Zhenhua Wang <wzh_zju@163.com>

Closes #19438 from wzhfy/improve_percentile_approx.
2017-10-11 00:16:12 -07:00
..
src [SPARK-22208][SQL] Improve percentile_approx by not rounding up targetError and starting from index 0 2017-10-11 00:16:12 -07:00
pom.xml [SPARK-14280][BUILD][WIP] Update change-version.sh and pom.xml to add Scala 2.12 profiles and enable 2.12 compilation 2017-09-01 19:21:21 +01:00