embedded-postgres
litestream
embedded-postgres | litestream | |
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4 | 165 | |
745 | 10,026 | |
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5.3 | 7.5 | |
5 days ago | 15 days ago | |
Go | Go | |
MIT License | Apache License 2.0 |
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embedded-postgres
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If you could go back in time | What would you do different regarding go
So what can you do insted? For testing databases, setup a docker instance for tests (e.g. like in https://github.com/ardanlabs/service), or start an embedded-postgres daemon (see https://github.com/fergusstrange/embedded-postgres). For communication with external APIs, just pass the http.Client (either in context.Context or as a field on the struct). Then in tests, you can override the http.Client.Transport func.
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Embedded database options
This is down to nuance, but all databases are "file based" as they all write to files. But most of them require a separate process with lock coordination to get away from writer lock delays and ensure ACID, which includes Postgresql. Calling any version of pgl "embedded" is confusing because I see that being used to describe pgl databases which are run in a localhost mode with a single reader/writer client. Regardless, those still require a postgres process and access it over IP. For simplicity, if one uses a database by touching its files directly from the process accessing the database, then it's "embedded"; but then again I guess that semantic ship has sailed: https://github.com/fergusstrange/embedded-postgres so the point may be moot.
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Ask HN: Tips on hosting your own Postgres instance
depending on the language you have chosen for your side project you might also be able to run postgresql in embedded mode here is the one for golang https://github.com/fergusstrange/embedded-postgres . There is similar solution for java as well.
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?
go-mutesting - Mutation testing for Go source code
rqlite - The lightweight, distributed relational database built on SQLite.
goc - A Comprehensive Coverage Testing System for The Go Programming Language
pocketbase - Open Source realtime backend in 1 file
Testify - A toolkit with common assertions and mocks that plays nicely with the standard library
realtime - Broadcast, Presence, and Postgres Changes via WebSockets
ginkgo - A Modern Testing Framework for Go
k8s-mediaserver-operator - Repository for k8s Mediaserver Operator project
go-vcr - Record and replay your HTTP interactions for fast, deterministic and accurate tests
sqlcipher - SQLCipher is a standalone fork of SQLite that adds 256 bit AES encryption of database files and other security features.
schema - Quick and easy expression matching for JSON schemas used in requests and responses
litefs - FUSE-based file system for replicating SQLite databases across a cluster of machines