awesome-go-storage
litestream
awesome-go-storage | litestream | |
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7 | 167 | |
4,297 | 10,063 | |
1.3% | - | |
4.1 | 7.5 | |
5 months ago | about 1 month ago | |
Go | ||
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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awesome-go-storage
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Building a Log-Structured Merge Tree in Go
Awesome Go Storage (GitHub)
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Open Source Databases in Go
Any many many more. Check https://github.com/gostor/awesome-go-storage
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Zig, Hare, Odin, Vale, V, Jai
C is significantly slower at concurrency when implemented naively. It's as fast as languages like Go when implemented using the same techniques, which is not obvious and trivial to use like in a higher level GC'd language. GC actually helps out a ton there, for example look at the complexity of async/await in Rust which requires the notion of pinning.
https://github.com/gostor/awesome-go-storage#database
https://java-source.net/open-source/database-engines
Not a database but honorable mention, LMAX disrupter: https://lmax-exchange.github.io/disruptor/
- Embedded database options
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Which database do you recommend to be used with Golang?
You may want to start from here: awesome-go-storage and choose what fit your needs
- New Open Source RDBMS idea (written in Golang) (Help wanted)
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A distributed Posix file system built on top of Redis and S3
This is neat! I am quite a fan of all the go based file systems that are springing up. Question: what are the main compare and contrast points between juice and seaweed fs?
Here is a compendium for those interested:
https://github.com/gostor/awesome-go-storage
litestream
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Ask HN: SQLite in Production?
I have not, but I keep meaning to collate everything I've learned into a set of useful defaults just to remind myself what settings I should be enabling and why.
Regarding Litestream, I learned pretty much all I know from their documentation: https://litestream.io/
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How (and why) to run SQLite in production
This presentation is focused on the use-case of vertically scaling a single server and driving everything through that app server, which is running SQLite embedded within your application process.
This is the sweet-spot for SQLite applications, but there have been explorations and advances to running SQLite across a network of app servers. LiteFS (https://fly.io/docs/litefs/), the sibling to Litestream for backups (https://litestream.io), is aimed at precisely this use-case. Similarly, Turso (https://turso.tech) is a new-ish managed database company for running SQLite in a more traditional client-server distribution.
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SQLite3 Replication: A Wizard's Guide🧙🏽
This post intends to help you setup replication for SQLite using Litestream.
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Ask HN: Time travel" into a SQLite database using the WAL files?
I've been messing around with litestream. It is so cool. And, I either found a bug in the -timestamp switch or don't understand it correctly.
What I want to do is time travel into my sqlite database. I'm trying to do some forensics on why my web service returned the wrong data during a production event. Unfortunately, after the event, someone deleted records from the database and I'm unsure what the data looked like and am having trouble recreating the production issue.
Litestream has this great switch: -timestamp. If you use it (AFAICT) you can time travel into your database and go back to the database state at that moment. However, it does not seem to work as I expect it to:
https://github.com/benbjohnson/litestream/issues/564
I have the entirety of the sqlite database from the production event as well. Is there a way I could cycle through the WAL files and restore the database to the point in time before the records I need were deleted?
Will someone take sqlite and compile it into the browser using WASM so I can drag a sqlite database and WAL files into it and then using a timeline slider see all the states of the database over time? :)
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Ask HN: Are you using SQLite and Litestream in production?
We're using SQLite in production very heavily with millions of databases and fairly high operations throughput.
But we did run into some scariness around trying to use Litestream that put me off it for the time being. Litestream is really cool but it is also very much a cool hack and the risk of database corruption issues feels very real.
The scariness I ran into was related to this issue https://github.com/benbjohnson/litestream/issues/510
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Pocketbase: Open-source back end in 1 file
Litestream is a library that allows you to easily create backups. You can probably just do analytic queries on the backup data and reduce load on your server.
https://litestream.io/
- Litestream – Disaster recovery and continuous replication for SQLite
- Litestream: Replicated SQLite with no main and little cost
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Why you should probably be using SQLite
One possible strategy is to have one directory/file per customer which is one SQLite file. But then as the user logs in, you have to look up first what database they should be connected to.
OR somehow derive it from the user ID/username. Keeping all the customer databases in a single directory/disk and then constantly "lite streaming" to S3.
Because each user is isolated, they'll be writing to their own database. But migrations would be a pain. They will have to be rolled out to each database separately.
One upside is, you can give users the ability to take their data with them, any time. It is just a single file.
[0]. https://litestream.io/
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Monitor your Websites and Apps using Uptime Kuma
Upstream Kuma uses a local SQLite database to store account data, configuration for services to monitor, notification settings, and more. To make sure that our data is available across redeploys, we will bundle Uptime Kuma with Litestream, a project that implements streaming replication for SQLite databases to a remote object storage provider. Effectively, this allows us to treat the local SQLite database as if it were securely stored in a remote database.
What are some alternatives?
chai - Modern embedded SQL database
rqlite - The lightweight, distributed relational database built on SQLite.
s3-benchmark - Measure Amazon S3's performance from any location.
pocketbase - Open Source realtime backend in 1 file
juicefs - JuiceFS is a distributed POSIX file system built on top of Redis and S3.
realtime - Broadcast, Presence, and Postgres Changes via WebSockets
redisraft - A Redis Module that make it possible to create a consistent Raft cluster from multiple Redis instances.
k8s-mediaserver-operator - Repository for k8s Mediaserver Operator project
badger - Fast key-value DB in Go.
sqlcipher - SQLCipher is a standalone fork of SQLite that adds 256 bit AES encryption of database files and other security features.
awesome-htmx - Awesome things about htmx
flyctl - Command line tools for fly.io services