tsql
Sequel
tsql | Sequel | |
---|---|---|
3 | 37 | |
11 | 4,899 | |
- | - | |
6.8 | 8.9 | |
8 months ago | 27 days ago | |
TypeScript | Ruby | |
GNU General Public License v3.0 or later | MIT License |
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tsql
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Kysely: TypeScript SQL Query Builder
We use in prod variant of no 1. [0]. Why? Because:
* it's extremely lightweight (built on pure, functional combinators)
* it allows us to use more complex patterns ie. convention where every json field ends with Json which is automatically parsed; which, unlike datatype alone, allows us to create composable query to fetch arbitrarily nested graphs and promoting single [$] key ie. to return list of emails as `string[]` not `{ email: string }[]` with `select email as [$] from Users` etc.
* has convenience combinators for things like constructing where clauses from monodb like queries
* all usual queries like CRUD, exists etc. and some more complex ie. insertIgnore, merge1n etc has convenient api
We resort to runtime type assertions [1] which works well for this and all other i/o; runtime type assertions are necessary for cases when your running service is incorrectly attached to old or future remote schema (there are other protections against it but still happens).
[0] https://github.com/appliedblockchain/tsql
[1] https://github.com/appliedblockchain/assert-combinators
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Objection to ORM Hatred
Exactly. I'm happy with tsql [0] - template based, with safe sanitation, helper renderers/combinators, used in production for several years, would recommend this approach.
[0] https://github.com/appliedblockchain/tsql
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DenoDB
Personally I prefer functional combinators like interfaces [0]. Js/ts have tagged templates which enhances those type of interfaces a lot. It gives access to full set of functionality of underlying database, not just common denominator of all used. It allows arbitrary compositions etc.
[0] https://github.com/appliedblockchain/tsql/
Sequel
- Sequel 5.80.0 Released
- Ruby Sequel Google group banned
- Ask HN: What is your go-to stack for the web?
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Ruby 3.3
Some of the most enlightening books I’ve read when I was first learning Ruby were Text Processing in Ruby, and Building Awesome Command Line Apps in Ruby 2. They each reveal certain features and perspectives that work towards this end, such as text parsing moves, Ruby flags to help you build shell 1-liners you can pipe against, and features with stdio beyond just printing to stdout.
Then add in something like Pry or Irb, where you are able to build castles in your sandbox.
Most of my data exploration happens in Pry.
A final book I’ll toss out is Data Science at the Command Line, in particular the first 40 or so pages. They highlight the amount of tooling that exists that’s just python shell scripts posing as bins. (Ruby of course has every bit of the same potential.) I had always been aware of this, but I found the way it was presented to be very inspirational, and largely transformed how I work with data.
A good practical example I use regularly is: I have a project set up that keeps connection strings for ten or so SQL Server DBs that I regularly interact with. I have constants defined to expedite connections. The [Sequel library](https://sequel.jeremyevans.net/) is absolutely delightful to use. I have a `bin/console` file that sets up a pry session hooking up the default environment and tools I like to work with. Now it’s very easy to find tables with certain names, schemas, containing certain data, certain sprocs, mass update definitions across our entire system.
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Python: Just Write SQL
Thea answer to your prayers already exists: http://sequel.jeremyevans.net/.
By far the best database toolkit (ORM, query builder, migration engine) I have seen for any programming language.
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Is ORM still an anti-pattern?
Ruby sequel (http://sequel.jeremyevans.net/) is the only library where you can combine classic ORM Model bases usage, with a more raw query builder "just get me all the data into plain objects". You'll never need anything again in your career life.
- Ask HN: What are some of the most elegant codebases in your favorite language?
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Sketch of a Post-ORM
If you want a db tool which can be an ORM for your app, and drop down to a lower level dsl, while targeting specific features of the databases it supports, + having a "composable superset for building queries", there's [ruby sequel](http://sequel.jeremyevans.net/), which is the best tool of the kind you'll get for any proglang. Everything the author wants, minus the typrchecking perhaps, which is IMO shooting at the stars.
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There's SQL in my Ruby
I love the Sequel library from Jeremy Evans (so much better than Rails' AREL). I've used it as my ORM-of-choice since 2008. When leveraging Sequel I almost always use the DSL, but there are times that I want to use bare SQL. When that happens, I almost always use HEREDOCs and my own version of String#squish.
- Objection to ORM Hatred
What are some alternatives?
denodb - MySQL, SQLite, MariaDB, PostgreSQL and MongoDB ORM for Deno
ROM - Data mapping and persistence toolkit for Ruby
postgres - Postgres.js - The Fastest full featured PostgreSQL client for Node.js, Deno, Bun and CloudFlare
ActiveRecord
MySQL - A pure node.js JavaScript Client implementing the MySQL protocol.
DataMapper
trpc - 🧙♀️ Move Fast and Break Nothing. End-to-end typesafe APIs made easy.
Hanami::Model - Ruby persistence framework with entities and repositories
PostgreSQL - PostgreSQL client for node.js.
Redis-Objects - Map Redis types directly to Ruby objects
JDBI - The Jdbi library provides convenient, idiomatic access to relational databases in Java and other JVM technologies such as Kotlin, Clojure or Scala.
Neo4j.rb - An active model wrapper for the Neo4j Graph Database for Ruby.