skeema
groupcache
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skeema | groupcache | |
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7 | 12 | |
1,228 | 12,717 | |
1.1% | 0.7% | |
8.2 | 0.0 | |
11 days ago | 5 months ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
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.
skeema
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Features I wish PostgreSQL had as a developer
If a tool blindly drops columns, that's just a bad tool! It doesn't mean the concept is flawed.
Thousands of companies successfully use declarative schema management. Google and Facebook are two examples at a large scale, but it's equally beneficial at smaller scales too. As long as the workflow has sufficient guardrails, it's safe and it speeds up development time.
Some companies use it to auto-generate migrations (which are then reviewed/edited), while others use a fully declarative flow (no "migrations", but automated guardrails and human review).
I'm the author of Skeema (https://github.com/skeema/skeema) which has provided declarative flow for MySQL and MariaDB since 2016. Hundreds of companies use it, including GitHub, SendGrid, Cash App, Wix, Etsy, and many others you have likely heard of. Safety is the primary consideration throughout all of Skeema's design: https://www.skeema.io/docs/features/safety/
Meanwhile a few declarative solutions that support Postgres include sqldef, Migra, Tusker (which builds on Migra), and Atlas.
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Ask HN: Startup Devs -What's your biggest pain while managing cloud deployments?
I’d argue the obvious answer is address the lack of great answers for declarative schema migration in PostgreSQL. There is Skeema https://github.com/skeema/skeema but it doesn’t support Postgres and Prisma iirc forces you into an ORM, atlas looks perfect but has a nonstandard license.
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How Meta Built the Infrastructure for Threads
Ahh I see now, you've founded https://github.com/skeema/skeema which is great!
Keep it up!
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Russ Cox: Go Testing by Example
Using tmpfs for MySQL/MariaDB's data directory helps tremendously. If you're using Docker natively on Linux, use `docker run --tmpfs /var/lib/mysql ...` and that'll do the trick. Only downside is each container restart is slightly slower due to having to re-init the database instance from scratch.
Tuning the database server settings can help a lot too. You can add overrides to the very end of your `docker run` command-line, so that they get sent as command-line args to the database server. For example, use --skip-performance-schema to avoid the overhead of performance_schema if you don't need it in your test/CI environment.
For MySQL 8 in particular, I've found a few additional options help quite a lot: --skip-innodb-adaptive-hash-index --innodb-log-writer-threads=off --skip-log-bin
A lot of other options may be workload-specific. My product Skeema [1] can optionally use ephemeral containerized databases [2] for testing DDL and linting database objects, so the workload is very DDL-heavy, which means the settings can be tuned pretty differently than a typical DML-based workload.
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Automagically generate migrations for GORM
Atlas hasn’t made it on my radar until now — surprising considering how many stars it has. Based on the description, it looks like it can do something similar to skeema except it isn’t limited to one flavor of sql like skeema. I’m looking forward to trying it out in my next postgres project.
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Database character sets and collations explained – why utf8 is not UTF-8
VARCHAR(N) can store N characters. So with utf8mb3, that's a max of 3N bytes worst-case. But with utf8mb4, it's now 4N bytes, which (with a high N) may exceed internal limits such as maximum length of an index key.
IIRC, there were additional problems in older versions of MySQL, situations where sort buffers were sized to a fixed length equal to the value's worst-case size or something like that. So sorting a large number of utf8mb4 values would use a lot more memory than utf8mb3 values (again, iirc, I might be wrong on this).
So the safer and more backwards-compatible approach was to introduce utf8mb4 as a new separate charset, and allow users to choose. MySQL 8 is now transitioning towards deprecating utf8mb3, and will finally make the utf8 alias point to utf8mb4 sometime in the near future.
That said, there are still a bunch of unpleasant uses of utf8mb3 internally in things like information_schema. I develop schema management tooling and recently lost a week to some of the more obscure ones in https://github.com/skeema/skeema/commit/bf38edb :)
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Are entity framework tools typically avoided with MySQL & Go and are there alternatives for migration script tooling that version control the entire schema like SSDT?
I realize my paradigm on schema driven projects comes probably from my background. I found a very similar tool by chance when reading through my latest feeds and found this tool: https://github.com/skeema/skeema
groupcache
- [imcache] A generic in-memory cache Go library. Feedback appreciated.
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DREAMEMO: An out-of-the-box, high-scalability, modular-design distributed cache
As shown in the title, DREAMEMO is a distributed cache with out-of-the-box, high-scalability, modular-design features.The groupcache implementation is referenced, and re-structured, specific module differentiation is as follows:
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Sourcehut will blacklist the Go module mirror
I remember one of the first real-world uses of Go being the groupcache package: https://github.com/golang/groupcache (to serve Chrome downloads, IIRC?)
> comes with a cache filling mechanism. Whereas memcached just says "Sorry, cache miss", often resulting in a thundering herd of database (or whatever) loads from an unbounded number of clients (which has resulted in several fun outages), groupcache coordinates cache fills such that only one load in one process of an entire replicated set of processes populates the cache, then multiplexes the loaded value to all callers.
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Distributed fault-tolerant persistent atomic counter in golang
I read that group cache (https://github.com/golang/groupcache) can be used to sync servers around a key.
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How can you ensure all Microservices have finished their tasks?
I've not tried this myself, but I've seen it suggested to use groupcache (https://github.com/golang/groupcache) to sync your servers.
- What is for you the project who represents the best the power of Golang ?
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go-generics-cache: An in-memory key:value store/cache library for Go Generics
https://github.com/golang/groupcache is managing distributed caching that addresses thundering herd problem of memcache.
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How to Create HTTP Cache Service in Golang?
How it goes sometimes. Check out https://github.com/golang/groupcache and of course the AWS golang SDK.
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Redis inside cluster
There is also groupcache, written by the same author as memcached, but better.
- Can you share some Go package that you think has high quality clean code?
What are some alternatives?
sql-migrate - SQL schema migration tool for Go.
BigCache - Efficient cache for gigabytes of data written in Go.
migrate - Database migrations. CLI and Golang library.
go-cache - An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.
noms - The versioned, forkable, syncable database
cache2go - Concurrency-safe Go caching library with expiration capabilities and access counters
go-mysql-elasticsearch - Sync MySQL data into elasticsearch
rqlite - The lightweight, distributed relational database built on SQLite.
tidb - TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial
Tile38 - Real-time Geospatial and Geofencing
atlas - A modern tool for managing database schemas
ledisdb - A high performance NoSQL Database Server powered by Go