mvsqlite
litestream
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mvsqlite | litestream | |
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26 | 165 | |
1,315 | 9,964 | |
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0.0 | 7.5 | |
5 days ago | 7 days ago | |
Rust | 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.
mvsqlite
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FoundationDB: A Distributed Key-Value Store
I’ve been using FDB for toy projects for a while. It’s truly rock solid. That being said, I wish there were more layers.
Ideally someone could implement the firestore or dynamodb api on top.
https://github.com/losfair/mvsqlite
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Go bindings to SQLite using Wazero
For the rough plan, it's Cloud Backed SQLite meets FoundationDB.
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SQLite-based databases on the Postgres protocol? Yes we can
- Oh, and if you're wondering about backup to S3, they have that too: https://github.com/libsql/bottomless
- Uh, sqld can integrated with this https://github.com/losfair/mvsqlite, so now your SQLite is backed by FoundationDB!?
- Meanwhile Litestream exists https://github.com/benbjohnson/litestream/
- We Built Fly Postgres
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Litestream doesn't do SQLite replication anymore (LiteFS does)
Shameless plug of my [mvSQLite](https://github.com/losfair/mvsqlite) project here! It's basically another distributed SQLite, but with support for everything expected from a proper distributed database: synchronous replication, strictly serializable transactions, + scalable reads and writes w/ multiple concurrent writers.
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SQLite: QEMU All over Again?
This project looks really exciting!
I'm working on mvsqlite [1], a distributed SQLite based on FoundationDB. When doing the VFS integration I have always wanted to patch SQLite itself, but didn't because of uncertainty around correctness of the patched version...
A few features on my wishlist:
1. Asynchronous I/O. mvsqlite is currently doing its own prefetch prediction that is not very accurate. I assume higher layers in SQLite have more information that can help with better prediction.
2. Custom page allocator. SQLite internally uses a linked list to manage database pages - this causes contention on any two transactions that both allocate or free pages.
3. Random ROWID, without the `max(int64)` row trick. Sequentially increasing ROWIDs is a primary source of contention, and causes significant INSERT slowdown in my benchmark [2].
[1] https://github.com/losfair/mvsqlite
[2] https://univalence.me/posts/mvsqlite-bench-20220930
- Show HN: mvSQLite v0.2
- mvsqlite: Distributed SQLite built on FoundationDB
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Show HN: Query SQLite files stored in S3
That DynamoDB VFS looks cool! I agree that the VFS api makes one think about plenty of crazy ideas. Someone is working on a VFS based on Foundation DB[0] that looks very promising. It was recently discussed here[1]
[0]: https://github.com/losfair/mvsqlite
[1]: https://news.ycombinator.com/item?id=32269287
- GitHub - losfair/mvsqlite: Distributed, MVCC SQLite that runs on FoundationDB.
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?
awesome-sqlite - A curated list of awesome things related to SQLite
rqlite - The lightweight, distributed relational database built on SQLite.
dqlite - Embeddable, replicated and fault-tolerant SQL engine.
pocketbase - Open Source realtime backend in 1 file
litefs - FUSE-based file system for replicating SQLite databases across a cluster of machines
realtime - Broadcast, Presence, and Postgres Changes via WebSockets
k8s-mediaserver-operator - Repository for k8s Mediaserver Operator project
datasette-stripe - A web SQL interface to your Stripe account using Datasette.
sqlcipher - SQLCipher is a standalone fork of SQLite that adds 256 bit AES encryption of database files and other security features.
blueboat - All-in-one, multi-tenant serverless JavaScript runtime.