bbolt
litestream
bbolt | litestream | |
---|---|---|
18 | 165 | |
7,668 | 9,997 | |
1.3% | - | |
9.0 | 7.5 | |
2 days ago | 12 days ago | |
Go | 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.
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.
bbolt
-
How to extract key-value versioning from BBoltDB in ETCD as a Go Code
Based on this [GitHub document](https://github.com/etcd-io/bbolt) for BBoltDB, we can understand that Go Code be used to create a BBoltDB database on the system. The key-values added & operations done on them in that Go Code are stored in the BBoltDB database.
-
Locker: Store secrets on your local file system.
A Locker is a store on your file system (built on top of the amazing bbolt).
-
Looking for fast, space-efficient key-lookup
- bbolt for storage on disk. In order to get the smallest db file size possible make sure you insert the keys in order and set:
- is it possible to create a social media with all apis without database saving all the data into a yml or a json?
-
BoltDB performance hit with large values?
I'm wanting to store some wasm modules (as []byte) in BoltDB. Right now the modules are <1MB, but eventually, they could be 10-50MB in size. Is this going to reduce the performance of BoltDB all around, if the size of a value is this large? If it makes a difference, I'm using the Storm toolkit for querying.
-
Open Source Databases in Go
bbolt - An embedded key/value database for Go.
-
Help to learn multithreading in Go
For learning goroutines and channels, I usually recommend writing a program that reads from files and writes the data in a dummy database with something like https://github.com/etcd-io/bbolt. It's relatively simple and you're more likely to run into common manifestations of concurrency issues running disk operations.
-
[Noob] Question about Channels
If you would like to explore usage of channels, I highly recommend writing a program that reads from files and writes the data in a dummy database with something like https://github.com/etcd-io/bbolt.
-
A tiny NoSQL database
No transactions, no consistency guarantees, no benchmarks, global locks in the storage implementation, a collection is copied in its entirety on every insertion to it...I realize it's not for the same use case as MySQL or MongoDB, but a more obvious comparison here is e.g. https://github.com/etcd-io/bbolt. So why should someone use this over bbolt?
-
A pure Go embedded SQL database
use go-sqlite3 to work with sqlite3 is one choice.
https://github.com/etcd-io/bbolt is another pure go option.
cznic seems like an alternative to bbolt. nice to have some options.
litestream
-
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/
-
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.
-
SQLite3 Replication: A Wizard's Guide🧙🏽
This post intends to help you setup replication for SQLite using Litestream.
-
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? :)
-
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
-
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
-
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/
-
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?
badger - Fast key-value DB in Go.
rqlite - The lightweight, distributed relational database built on SQLite.
bolt
pocketbase - Open Source realtime backend in 1 file
goleveldb - LevelDB key/value database in Go.
realtime - Broadcast, Presence, and Postgres Changes via WebSockets
go-sqlite - Low-level Go interface to SQLite 3
k8s-mediaserver-operator - Repository for k8s Mediaserver Operator project
buntdb - BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support
sqlcipher - SQLCipher is a standalone fork of SQLite that adds 256 bit AES encryption of database files and other security features.
BigCache - Efficient cache for gigabytes of data written in Go.
litefs - FUSE-based file system for replicating SQLite databases across a cluster of machines