go-sqlite3-stdlib
rqlite
go-sqlite3-stdlib | rqlite | |
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6 | 112 | |
123 | 14,927 | |
0.0% | 1.1% | |
0.0 | 9.9 | |
9 months ago | 8 days ago | |
Go | Go | |
GNU General Public License v3.0 or later | MIT License |
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go-sqlite3-stdlib
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SQLite: Past, Present, and Future
Adding user-defined functions to SQLite is not difficult, and the mechanism is quite flexible. You can create extensions and load them when you create the SQLite connection to have the functions available in queries. I wrote a blog post explaining how to do that using Rust, and the example is precisely a `regex_extract` function [0].
If you need them, you also have a "stdlib" implemented for Go [1] and a pretty extensive collection of extensions [2]
[0]: https://ricardoanderegg.com/posts/extending-sqlite-with-rust...
[1]: https://github.com/multiprocessio/go-sqlite3-stdlib
[2]: https://github.com/nalgeon/sqlean
- SQLite has pretty limited builtin functions
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OctoSQL allows you to join data from different sources using SQL
OctoSQL is an awesome project and Kuba has a lot of great experience to share from building this project I'm excited to learn from.
And while building a custom database engine does allow you to do pretty quick queries, there are a few issues.
First, the SQL implemented is nonstandard. As I was looking for documentation and it pointed me to `SELECT * FROM docs.functions fs`. I tried to count the number of functions but octosql crashed (a Go panic) when I ran `SELECT count(1) FROM docs.functions fs` and `SELECT count() FROM docs.functions fs` which is what I lazily do in standard SQL databases. (`SELECT count(fs.name) FROM docs.function fs` worked.)
This kind of thing will keep happening because this project just doesn't have as much resources today as SQLite, Postgres, DuckDB, etc. It will support a limited subset of SQL.
Second, the standard library seems pretty small. When I counted the builtin functions there were only 29. Now this is an easy thing to rectify over time but just noting about the state today.
And third this project only has builtin support for querying CSV and JSON files. Again this could be easy to rectify over time but just mentioning the state today.
octosql is a great project but there are also different ways to do the same thing.
I build dsq [0] which runs all queries through SQLite so it avoids point 1. It has access to SQLite's standard builtin functions plus* a battery of extra statistic aggregation, string manipulation, url manipulation, date manipulation, hashing, and math functions custom built to help this kind of interactive querying developers commonly do [1].
And dsq supports not just CSV and JSON but parquet, excel, ODS, ORC, YAML, TSV, and Apache and nginx logs.
A downside to dsq is that it is slower for large files (say over 10GB) when you only want a few columns whereas octosql does better in some of those cases. I'm hoping to improve this over time by adding a SQL filtering frontend to dsq but in all cases dsq will ultimately use SQLite as the query engine.
You can find more info about similar projects in octosql's Benchmark section but I also have a comparison section in dsq [2] and an extension of the octosql benchmark with different set of tools [3] including duckdb.
Everyone should check out duckdb. :)
[0] https://github.com/multiprocessio/dsq
[1] https://github.com/multiprocessio/go-sqlite3-stdlib
[2] https://github.com/multiprocessio/dsq#comparisons
[3] https://github.com/multiprocessio/dsq#benchmark
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One year as a solo dev building open-source data tools without funding
Hey Kuba!
> Especially on the community building aspect, it's really impressive that you've been able to spark so many communities on various platforms (Reddit, GitHub, Discord, etc.)!
Yeah it's been so cool to see so many people come together, hobbyists and professionals.
> On a more technical note, since dsq is based on the "load it into SQLite and query it from there" architecture, have you considered integrating with the plugin ecosystems of other existing projects based on that same architecture, like Datasette[0]? It seems like a way to add a lot of value to your tools without much work.
Interesting idea! I haven't looked into Datasette too much. And I haven't thought about plugins too much either. The most I've done is extend the SQLite standard library [0] and I hope to continue growing that. I'd be curious to hear what specifically people like from Datasette they'd like to see in dsq.
> On a more commercial note, overall I think tools like this are very hard to monetize, because right now they're just a fairly niche use case, between - as you mentioned - full blown data analytics platforms and observability query systems, as well as standard unix tools. Especially since if you need the analytics a lot, you'll probably have time to integrate it into your preferred analytics solution (like BigQuery). Do you have any thoughts on that?
My idea was always to focus on smaller and less mature organizations, probably ones that have been around for 10+ years. They aren't using BigQuery, they prefer to host everything themselves, and they don't yet realize there are tools like DataStation that they can easily run to make analytics easier.
I've worked at a bunch of companies like this so I know the market exists. Actually I have been surprised how many people outside of this market showed up in the DataStation community. I've seen Googlers, MS-ers, modern startups, data science teams show up interested in DataStation compared to what they're already using.
For me it's just been a matter of time (and funding) to build out the product to serve these communities commercially as a SaaS or enterprise product.
[0] https://github.com/multiprocessio/go-sqlite3-stdlib
- Show HN: A standard library for mattn/go-sqlite3
- A standard library for mattn/go-sqlite3 including best-effort date parsing, url parsing, math/string functions, and stats aggregation functions
rqlite
- The lightweight, easy-to-use, distributed relational database built on SQLite
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CursusDB – A new scalable distributed document oriented database
Seems like you could do the same with rqlite [1], since SQLite supports JSON.
[1]: https://rqlite.io
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Rqlite 8.0
rqlite[1] creator here, happy to answer any questions about rqlite, this latest release, and how it works.
[1] https://rqlite.io
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Adding new database engine support
I found simple distributed RQlite https://github.com/rqlite/rqlite based on raft and sqlite. How hard is to add it?
- I'm All-In on Server-Side SQLite
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So, you want to deploy on the edge?
rqlite[1] creator here, happy to answer any questions. rqlite also supports read-only nodes, which can also help with reads at the "edge". It probably wouldn't scale to 100s of nodes, it is an option.
"rqlite supports adding read-only nodes. You can use this feature to add read scalability to the cluster if you need a high volume of reads, or want to distribute copies of the data nearer to clients – but don’t want those nodes counted towards the quorum. These types of nodes are also known as non-voting nodes."
[1] https://rqlite.io/
[2] https://rqlite.io/docs/clustering/read-only-nodes/
- LiteFS Cloud: Distributed SQLite with Managed Backups
- Show HN: Rqlite, distributed DB built on SQLite, now runs on MIPS, RISC, PowerPC
- rqlite v7.19.0: the lightweight distributed relational database built on Go, Raft, and SQLite -- now runs on MIPS, PowerPC, and RISC
- rqlite v7.18: the lightweight distributed database built on Go, Raft, and SQLite -- now with new Unified HTTP endpoint for easy reads and writes
What are some alternatives?
sqlite-past-present-future - Performance evaluation and optimization of SQLite
dqlite - Embeddable, replicated and fault-tolerant SQL engine.
octosql-plugin-postgres
litestream - Streaming replication for SQLite.
sqlite-plus - The ultimate set of SQLite extensions
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
octosql-plugin-random_data - OctoSQL plugin serving random data
bolt
mycelite - Mycelite is a SQLite extension that allows you to synchronize changes from one instance of SQLite to another.
etcd - Distributed reliable key-value store for the most critical data of a distributed system [Moved to: https://github.com/etcd-io/etcd]
cargo-semver-checks - Scan your Rust crate for semver violations.
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.