gh-ost
MikroORM
gh-ost | MikroORM | |
---|---|---|
32 | 48 | |
12,010 | 7,158 | |
0.6% | 1.4% | |
7.5 | 9.9 | |
1 day ago | 7 days ago | |
Go | TypeScript | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gh-ost
- "At GitHub we do not use foreign keys, ever, anywhere"
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How Modern SQL Databases Are Changing Web Development - #3 Better Developer Experience
I’ve been through multiple incidents where everything worked fine in the testing environment but ended up locking the production database for minutes when deployed. A category of open-source tools called OSC (Online Schema Change) exists to mitigate such pain, like gh-ost used by GitHub and OSC used by Meta. They work by creating a set of "ghost tables" to apply the migrations, copy over old data from the original tables, and catch up with new writes simultaneously. When all old data is migrated, you can trigger a cutover to make the "ghost tables" production. Check the post below for a great introduction and comparison:
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We migrated to SQL. Our biggest learning? Don't use Prisma
Sounds like it's basically explained in the gh-ost readme https://github.com/github/gh-ost#how
I think it amounts to "use views to decouple access to the table with a fixed interface" and "use triggers for migrating data between tables"
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Ask HN: Is PostgreSQL better than MySQL?
Gh-ost is the new hotness. Simple to use and lots of great features: https://github.com/github/gh-ost
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My Green/blue AWS db deployment strategy for avoiding data loss due to table locks
If the performance of the db is a concern during migrations (locking, high cpu consumption for large writes) there are tools that can help and do similiar to what your describing but with the benefit that they are battle tested tools. This one spring to mind https://github.com/github/gh-ost there are other options as well and its worth reading the trade off docs
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Changing column from longtext to mediumtext taking over 2 hours
Not sure which version of MySQL you're using, but one approach would be to use a tool like pt-online-schema-change (from Percona) or g-host -- which will create a duplicate table and then swap it in place of the original table. It's a safer approach when operating in production environments. Here's a good comparison of the tools many people use https://planetscale.com/docs/learn/online-schema-change-tools-comparison
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Ask HN: Do you use foreign Keys in Relational Databases
No, especially on large tables with billions of records. They make online schema changes impossible. More details: https://github.com/github/gh-ost/issues/331#issuecomment-266...
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Migrating a production database without any downtime
Tip #4: Consider slow-running migrations. Some tables can be so large that the traditional migration way is simply not a viable option for them. In such cases, you can consider embedding the data migration code right into your application, or use a special utility like GitHub's online schema migration for MySQL. A slow-running migration can work in production for days or even weeks. It gradually converts the data by small chunks, so you can carefully balance the load on the database while making sure that it doesn't cause slowness or downtime.
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How do you handle RDS schema migrations?
GitHub gh-ost
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Changing Tires at 100mph: A Guide to Zero Downtime Migrations
Actually I never tried but I was scared by the small print of GH not using RDS themselves [1] and Ghost relying on lower-level features that might be not easily available in RDS. Also I had the impression you have to setup a normal non-RDS replica attached to your RDS master?
[1] https://github.com/github/gh-ost/blob/master/doc/rds.md
MikroORM
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Rust GraphQL APIs for NodeJS Developers: Introduction
In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:
- MikroORM 6: Polished – MikroORM
- I Hate NestJS
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What's wrong with Node.js ORMs? Thousands of issues? Why?
https://www.npmjs.com/package/mikro-orm - 44 issues
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Top 6 ORMs for Modern Node.js App Development
Mikro-ORM is a TypeScript ORM that focuses on simplicity and efficiency. It supports various SQL databases and MongoDB. Mikro-ORM is known for its simplicity and developer-friendly APIs. It provides a concise syntax for defining data models and relationships, making it easy to use.
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We migrated to SQL. Our biggest learning? Don't use Prisma
I found MikroORM [0] to be quite reasonable if you're in the TS ecosystem already. It was also easy to do custom, raw queries, and really just felt like it wasn't in the way.
[0] https://mikro-orm.io/
- Mikro-ORM – TypeScript ORM for Node.js
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The Epic Stack by Kent C. Dodds
It also does code generation into its own module, so good luck with hoisting in a monorepo where you want multiple independent prisma schemas. MikroORM[1] is a much better alternative to Prisma in my opinion but any ORM carries some form of baggage.
[1] https://mikro-orm.io/
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MikroORM v6 gets a strict partial loading support
More about v6 development can be found here.
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Announcing a new TypeScript ORM
I recommend looking at https://mikro-orm.io/
What are some alternatives?
pg-online-schema-change - Easy CLI tool for making zero downtime schema changes and backfills in PostgreSQL [Moved to: https://github.com/shayonj/pg-osc]
Prisma - Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
doctrine-test-bundle - Symfony bundle to isolate your app's doctrine database tests and improve the test performance
TypeORM - ORM for TypeScript and JavaScript. Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, SAP Hana, WebSQL databases. Works in NodeJS, Browser, Ionic, Cordova and Electron platforms.
squawk - 🐘 linter for PostgreSQL, focused on migrations
Mongoose - MongoDB object modeling designed to work in an asynchronous environment.
pg_squeeze - A PostgreSQL extension for automatic bloat cleanup
Sequelize - Feature-rich ORM for modern Node.js and TypeScript, it supports PostgreSQL (with JSON and JSONB support), MySQL, MariaDB, SQLite, MS SQL Server, Snowflake, Oracle DB (v6), DB2 and DB2 for IBM i.
hub - A command-line tool that makes git easier to use with GitHub.
drizzle-orm - Headless TypeScript ORM with a head. Runs on Node, Bun and Deno. Lives on the Edge and yes, it's a JavaScript ORM too 😅
Jenkins - Jenkins automation server
prisma-examples - 🚀 Ready-to-run Prisma example projects