Database Replication from MySQL to ClickHouse for High Performance WebScale Analytics

Shiv Iyer — Tue, 01 Oct 2019 19:12:51 +0000

MySQL to ClickHouse Replication

MySQL works great for Online Transaction Processing (OLTP) systems, MySQL performance degrades with analytical queries on very large database infrastructure, I agree you can optimize MySQL query performance with InnoDB compressions but why then combine OLTP and OLAP (Online Analytics Processing Systems) when you have columnar stores which can deliver high performance analytical queries more efficiently? I have seen several companies building dedicated MySQL servers for Analytics but over the period of time they end spending more money in fine tuning MySQL for Analytics with no significant improvements, There is no point in blaming MySQL for what it is not built for, MySQL / MariaDB is any day a bad choice for columnar analytics / big data solutions. Columnar database systems are best suited for handling large quantities of data: data stored in columns typically is easier to compress, it is also easier to access on per column basis – typically you ask for some data stored in a couple of columns – an ability to retrieve just those columns instead of reading all of the rows and filter out unneeded data makes the data accessed faster. So how can you combine the best of both ? Using MySQL purely for Transaction Processing Systems and Archiving MySQL Transactional Data for Data Analytics on a columnar store like ClickHouse, This post is about archiving and replicating data from MySQL to ClickHouse, you can continue reading from here.

Recommended Reading for ClickHouse:

Why we recommend ClickHouse over many other columnar database systems ? https://minervadb.com/index.php/2018/03/06/why-we-recommend-clickhouse-over-many-other-columnar-database-systems/
Benchmarking ClickHouse on my MacBook Pro (Super impressive performance) – https://minervadb.com/index.php/2018/01/23/benchmarking-clickhouse-2/
ClickHouse GitHub – https://github.com/ClickHouse
Altinity GitHub – https://github.com/Altinity
What you should know about RAID to improve Database Systems Performance – https://minervadb.com/index.php/2019/08/04/raid-redundant-storage-for-database-reliability/

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Join ClickHouse India Users Group

Shiv Iyer — Sun, 04 Feb 2018 17:19:03 +0000

We have created ClickHouse India Users Group for passionate ClickHouse professionals to discus about their favourite open source columnar database system . We have started ClickHouse India Users Group as an Facebook group page (https://www.facebook.com/groups/AICUG/) to connect with ClickHouse professionals worldwide better . As we grow, we will have an dedicated web property for ClickHouse India Users Group . This will be an open group forever and ClickHouse users can use this group for conferences, meet-ups, knowledge sharing, professional development and networking , Thanks for your support and welcome to ClickHouse India Users Group !

ClickHouse repositories and downloads

Github:

Server Packages:

Debian/Ubuntu: http://repo.yandex.ru/clickhouse/
RPMs: https://packagecloud.io/altinity/clickhouse
- Source: https://github.com/Altinity/clickhouse-rpm
Docker: https://hub.docker.com/r/yandex/clickhouse-server/

Client Packages:

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