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GSOC 2023 PROJECT

pgagroal: Query Cache

Contributor
Sudeep Reddy
Mentors
Jesper Pedersen, Nikita Bugrovsky
Organization
PostgreSQLData
Program
GSoC 2023

About this project

Description from the program archive

This project involves adding a query caching feature to pgagroal, a high-performance connection pool for PostgreSQL. The goal is to enhance application performance by reducing data retrieval time, minimising database load, cutting down on network traffic, and achieving cost savings. This project is experimental and involves testing different query caching methods and comparing their effectiveness to not having one.

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  1. pgmoneta: Native Backup

    Haoran ZhangMentored by Jesper Pedersen, Mariam Fahmy Sobhy

  2. Postgres Extension Tutorial / Quick Start

    Ishaan AdarshMentored by David Wheeler, Jimmy Angelakos

  3. PGweb Testing Harness for the official PostgreSQL Website

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  4. pgagroal: simple vault implemention

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  5. Develop Performance Farm Benchmarks and Website (2023)

    Anil rundlaMentored by Ilaria Battiston, sfrost

  6. Monitoring for pgmoneta

    Zhengshun LinMentored by Jesper Pedersen

  7. Improving PostgreSQL Version Support for pgexporter

    resyferMentored by Jesper Pedersen, Athila Mattos, Nikita Bugrovsky

  8. pg_statviz: Time Series Analysis & Visualization of Statistics

    Rajiv HarlalkaMentored by Jimmy Angelakos, Pavlo, Boriss Mejías

  9. Rewriting the pg_chameleon SQL library

    Kaustubh MMentored by Andreas 'ads' Scherbaum, Federico Campoli

  10. pg_adviser / index_adviser: Recommend Potentially Useful Indexes

    Ahmed Ibrahim HashimMentored by sfrost, Gurjeet S.

Data: Google Summer of Code public archive. This project in the official archive