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gh-ost
Go2016–2025
github / gh-ost

gh-ost

GitHub's Online Schema-migration Tool for MySQL

36Distinct people
42Mentions
1Explicit recommenders
13.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

GitHub's Online Schema-migration Tool for MySQL

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

We use gh-ost at Harvest[1] and it's a dream in comparison to manually migrating on a replica and switching master/slave roles [2]. Also the linked post[3] in the readme hit us…

zmoazeni used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 6:01:08 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year42 dated mentions

Observed mentions: 2016-08-02 06:23:47 UTC to 2025-03-01 21:37:46 UTC.

0369122016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 12 mentions; 2 submissions, 10 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 7 mentions; 0 submissions, 7 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 8 mentions; 0 submissions, 8 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 6 mentions; 0 submissions, 6 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC101
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC202
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC12210
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC110
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC202
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC707
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC808
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC606
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC211
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101

From the project README

An excerpt from the repository, fetched Nov 13, 2026.

Read the project’s introduction
gh-ost GitHub's online schema migration for MySQL gh-ost is a triggerless online schema migration solution for MySQL. It is testable and provides pausability, dynamic control/reconfiguration, auditing, and many operational perks. gh-ost produces a light workload on the master throughout the migration, decoupled from the existing workload on the migrated table. It has been designed based on years of experience with existing solutions, and changes the paradigm of table migrations. How? All existing online-schema-change tools operate in similar manner: they create a ghost table in the likeness of your original table, migrate that table while empty, slowly and incrementally copy data from your original table to the ghost table, meanwhile propagating ongoing changes (any INSERT, DELETE, UPDATE applied to your table) to the ghost table. Finally, at the right time, they replace your original table with the ghost table. gh-ost uses the same pattern. However it differs from all existing tools by not using triggers. We have recognized the triggers to be the source of many limitations and risks. Instead, gh-ost uses the binary log stream to capture table changes, and asynchronously applies them onto the ghost table. gh-ost takes upon itself some tasks that other tools leave for the database to perform. As result, gh-ost has greater control over the migration process; can truly suspend it; can truly decouple the migration's write load from the master's workload. In addition, it offers many operational perks that make it safer, trustworthy and fun to use. Highlights Build your trust in gh-ost by testing it on replicas. gh-ost will issue same flow as it would have on the master, to migrate a table on a replica, without actually replacing the original table, leaving the replica with two tables you can then compare and satisfy yourself that the tool operates correctly. This is how we continuously test gh-ost in production. True pause: when gh-ost throttles, it truly ceases writes on master: no row copies and no ongoing events processing. By throttling, you return your master to its original workload Dynamic control: you can interactively reconfigure gh-ost, even as migration still runs. You may forcibly initiate throttling. Auditing: you may query gh-ost for status. gh-ost listens on unix socket or TCP. Control over cut-over phase: gh-ost can be instructed to postpone what is probably the most critical step: the swap of tables, until such time that you're comfortably available. No need to worry about ETA being outside office hours. External hooks can couple gh-ost with your particular environment. Please refer to the docs for more information. No, really, read the docs. Usage The cheatsheet has it all. You may be interested in invoking gh-ost in various modes: a noop migration (merely testing that the migration is valid and good to go) a real migration, utilizing a replica (the migration runs on the master; gh-ost figures out identities of servers involved. Required mode if your master uses Statement Based Replication) a real migration, run directly on the master (but gh-ost prefers the former) a real migration on a replica (master untouched) a test migration on a replica, the way for you to build trust with gh-ost's operation. Our tips: Testing above all, try out --test-on-replica first few times. Better yet, make it continuous. We have multiple replicas where we iterate our entire fleet of production tables, migrating them one by one, checksumming the results, verifying migration is good. For each master migration, first issue a noop Then issue the real thing via --execute. More tips: Use --exact-rowcount for accurate progress indication Use --postpone-cut-over-flag-file to gain control over cut-over timing Get familiar with the interactive commands Also see: requirements and limitations common questions what if? the fine print Community questions Using gh-ost on AWS RDS Using gh-ost on Azure Database for MySQL What's in a name? Originally this was named gh-osc: GitHub Online Schema Change, in the likes of Facebook online schema change and pt-online-schema-change. But then a rare genetic mutation happened, and the c transformed into t. And that sent us down the path of trying to figure out a new acronym. gh-ost (pronounce: Ghost), stands for GitHub's Online Schema Transmogrifier/Translator/Transformer/Transfigurator License gh-ost is licensed under the MIT license gh-ost uses 3rd party libraries, each with their own license. These are found here. Community gh-ost is released at a stable state, but with mileage to go. We are open to pull requests. Please first discuss your intentions via Issues. We develop gh-ost at GitHub and for the community. We may have different priorities than others. From time to time we may suggest a contribution that is not on our immediate roadmap but which may appeal to others. Please see Coding gh-ost for a guide to getting started developing with gh-ost. Download/binaries/source gh-ost is now GA and stable. gh-ost is available in binary format for Linux and Mac OS/X Download latest release here gh-ost is a Go project; it is built with Go 1.15 and above. To build on your own, use either: script/build - this is the same build script used by CI hence the authoritative; artifact is ./bin/gh-ost binary. build.sh for building the release artifacts (tar.gz archives plus .rpm/.deb packages and a SHA256SUMS manifest) in /tmp/gh-ost-release Generally speaking, master branch is stable, but only releases are to be used in production. Authors gh-ost is designed, authored, reviewed and tested by the database infrastructure team at GitHub: @jonahberquist @ggunson @tomkrouper @shlomi-noach @jessbreckenridge @gtowey @timvaillancourt
Read the full README on GitHub

What Hacker News says

2 sources
I don't think the claim of MySQL replication being better is related to statement vs. row vs. binary diff. I think it is about the tooling and community knowledge about replication, and about running MySQL in large scale production environments in general. MySQL is run more often at extremely large scale (Facebook, YouTube, Twitter, Dropbox, etc.) than Postgres. That results in very battle tested and/or featureful tooling like orchestrator (https://github.com/github/orchestrator), MHA (https://github.com/yoshinorim/mha4mysql-manager), ProxySQL (http://www.proxysql.com/), and gh-ost (https://github.com/github/gh-ost), along knowledge and best practices shared by those organization.
In PostgreSQL HA cluster failure: a post-mortem
Another tool in this category is gh-ost by github: https://github.com/github/gh-ost Its main advantage seems to be that it doesn't require triggers on the original table (it works by subscribing to the replication log), thus not making write locks worse during the migration. I haven't tried either yet, so if anybody has some experience with them, do please share a comparison!
In Online migrations at scale

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