apache/pinot

[Feature] Support for Correlation Function

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#9,277 opened on Aug 24, 2022

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 (11 comments) (0 reactions) (1 assignee)Java (1,234 forks)batch import
good first issue

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Description

Add support for calculating Pearson's coefficient corr(x,y) as part of the effort in #8493. Can leverage implementation for COVAR_SAMP and COVAR_POP as mentioned in #9236.

Contributor guide

Research direction
Begin by examining the referenced issues #8493 and #9236 for context on the covariance implementation. Look at the existing COVAR SAMP and COVAR POP implementations in the Pinot codebase to understand the pattern for adding new aggregate functions. Then, implement the Pearson correlation coefficient formula using these as a base. Pay attention to the function registration and query processing pipeline.
Tech stack
javasql
Domain
databaseanalytics
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
Basic knowledge of JavaUnderstanding of SQL aggregate functionsFamiliarity with Apache Pinot codebase structure
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
50