sq
go-sqlite3
sq | go-sqlite3 | |
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6 | 40 | |
522 | 7,471 | |
- | - | |
9.3 | 6.2 | |
16 days ago | 4 days ago | |
Go | C | |
MIT License | MIT License |
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sq
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Show HN: I built jq-like scriptable tool to query CSV and JSON with SQLite
Is this related to the other SQ? https://github.com/neilotoole/sq
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Best way to introduce a linter?
For my main OSS project, sq, its .golangci.yml is a lightly customized version of this gist from maratori. I found it to be a good starting point.
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Go port of SQLite without CGo
Thankfully I no longer need to maintain xcgo, but even today, the sq pipeline is still complex with lots of platform-dependent bits.
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Beginner interested in learning SQL. Have a few question that I wasn’t able to find on google.
Through more magic, you COULD of course use stuff like Spark, or easier with programs like TextQL, sq, OctoSQL.
- sq: swiss-army knife for data
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sq: swiss-army knife to inspect, query, join, import, and export data
Available on Git? Absolutely. https://github.com/neilotoole/sq
go-sqlite3
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Show HN: Roast my SQLite encryption at-rest
SQLite encryption at-rest is a hot requested feature of both the “default” CGo driver [1] and the transpiled alternative driver [2]. So, this is a feature I wanted to bring to my own Wasm based Go driver/bindings [3].
Open-source SQLite encryption extensions have had a troubled last few years. For whatever reason, in 2020 the (undocumented) feature that made it easy to offer page-level encryption was removed [4]. Some solutions are stuck with SQLite 3.31.1, but Ulrich Telle stepped up with a VFS approach [5].
Still, their solution seemed harder than something I'd want to maintain, as it requires understanding the structure of what's being written to disk at the VFS layer. So, I looked at full disk encryption for something with less of an impedance mismatch.
Specifically, I'm using the Adiantum tweakable and length-preserving encryption (with 4K blocks, matching the default SQLite page size), and encrypting whole files (rather than page content).
I'm not a cryptographer, so I'd really appreciate some roasting before release.
There is nothing very Go specific about this (apart from the implementation) so if there are no obvious flaws, it may make sense to port it to C/Rust/etc and make it a loadable extension.
[1] https://github.com/mattn/go-sqlite3/pull/1109
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Redis Re-Implemented with SQLite
for what it's worth, the two pool approach is suggested here by a collaborator to github.com/mattn/go-sqlite3: https://github.com/mattn/go-sqlite3/issues/1179#issuecomment...
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Replacing Complicated Hashmaps with SQLite
SQLite is great. I've also recently settled on it as a key-value store, after considering a few purpose-built key-value solutions. Turns out that it's really easy to make SQLite work as a key-value store, but very difficult to make key-value stores relational.
Just be careful with `:memory:` databases. From the mattn/go-sqlite3 FAQ[1]:
> Each connection to ":memory:" opens a brand new in-memory sql database, so if the stdlib's sql engine happens to open another connection and you've only specified ":memory:", that connection will see a brand new database. A workaround is to use "file::memory:?cache=shared" (or "file:foobar?mode=memory&cache=shared"). Every connection to this string will point to the same in-memory database.
I noticed strange behaviors with just `:memory:` where tables would just disappear at random, and this workaround helped. Make sure to use a unique filename as the `file:` value, especially if using this in tests.
[1]: https://github.com/mattn/go-sqlite3#faq
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What 3rd-party libraries do you use often/all the time?
github.com/mattn/go-sqlite3
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From Golang Beginner to Building Basic Web Server in 4 Days!
For building my web server, I chose to use the Gin framework as the foundation of my app. It was incredibly easy to understand and work with, and I was pleasantly surprised by how seamlessly it integrated with writing unit tests for the server. To handle the database, I leveraged the power of go-sqlite and migrate for efficient SQL queries and migrations. These libraries proved to be both powerful and user-friendly, making the development process a breeze.
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Zig now has built-in HTTP server and client in std
https://github.com/mattn/go-sqlite3/blob/master/_example/sim...
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Exciting SQLite Improvements Since 2020
SQLite does have an optional "user authentication" extension, though I've not personally tried it out:
https://www.sqlite.org/src/doc/trunk/ext/userauth/user-auth....
The widely used Go SQLite library by mattn says it supports it, if that's useful:
https://github.com/mattn/go-sqlite3#user-authentication
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Go port of SQLite without CGo
I have an OSS project, sq which is a data-wrangling swiss-army knife for structured data. Think of it as jq for databases. It supports Postgres, SQLServer, MySQL and - relevantly - SQLite. It embeds SQLite via CGo and the mattn/go-sqlite3 driver.
- In-memory key value store
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Tools besides Go for a newbie
IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here
What are some alternatives?
unioffice - Pure go library for creating and processing Office Word (.docx), Excel (.xlsx) and Powerpoint (.pptx) documents
GORM - The fantastic ORM library for Golang, aims to be developer friendly
omniparser - omniparser: a native Golang ETL streaming parser and transform library for CSV, JSON, XML, EDI, text, etc.
sqlx - general purpose extensions to golang's database/sql
csvdecoder - Go library for parsing and deserialising CSV files into Go objects
pgx - PostgreSQL driver and toolkit for Go
csv-sql - Command-line tool to load csv and excel (xlsx) files and run sql commands
go-sqlite - Low-level Go interface to SQLite 3
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
go-sqlite-lite - SQLite driver for the Go programming language
querycsv - QueryCSV enables you to load CSV files and manipulate them using SQL queries then after you finish you can export the new values to a CSV file
Sqinn-Go - Golang SQLite without cgo