powderkeg
migrate
powderkeg | migrate | |
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1 | 72 | |
158 | 14,177 | |
0.0% | 3.2% | |
10.0 | 8.0 | |
over 5 years ago | 5 days ago | |
Clojure | Go | |
Eclipse Public License 1.0 | GNU General Public License v3.0 or later |
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powderkeg
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Python: Just Write SQL
As a data engineer, the pattern the OP shares is very familiar. I find it much preferable to use of ORMs for wide variety of reasons. However, I view implementing with SQL as an antiquated problem rather than a pragmatic feature. The evolution of this pattern would be to integrate database querying into languages more directly and eliminate SQL entirely. While this could be achieved in Python, I find that a language like Clojure, via functional programming (FP) primitives and transducers, is a natural candidate, particularly for JVM implemented databases. Rather than encapsulating SQL via query building or ORM based APIs, an FP core could be integrated into database engines to allow, via transducers, complex native forms to be executed directly across database clusters. Apache Spark is an analog of this. In particular the Clojure project, powderkeg (https://github.com/HCADatalab/powderkeg) demonstrates the potential of utilizing transducers in a database cluster context.
migrate
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Using migrations with Golang
Go does not natively support the use of migrations, but we could use the ORM that has this functionality, such as GORM which is the most used by the community, but We can use migrations without using an ORM, for this we will use the golang-migrate package.
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How to use SQLC with Golang
$ curl -L https://github.com/golang-migrate/migrate/releases/download/$version/migrate.$os-$arch.tar.gz | tar xvz
- Looking for recommendations for model/schema/migration management in Golang
- API completa em Golang - Parte 1
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Building RESTful API with Hexagonal Architecture in Go
Golang-migrate is a database migration tool designed for Go applications. It helps manage and apply changes to the database schema as the application grows, ensuring that the code and database structure stay in sync.
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Python: Just Write SQL
First of all, thank you for SQLAlchemy! If I ever had to make a final choice in how I would interact with a database for a very large project that involves a considerable dev team, I would always bet on SQLAlchemy. Not that I would necessarily like all aspects of it, but when it comes to Python and SQL - “Nobody ever got fired for picking SQLAlchemy.”.
With that out of the way, despite ORMs doing much more than "just writing SQL", it is exactly on that point that I flinch: Most devs should be exposed to SQL. And if your project allows you to build around simple enough abstractions so that you aren't reinventing the wheel, you should definitely be writing SQL. Especially if you don't know SQL yet - which is the growing case of new devs coming into the job market.
You can achieve a lot with SQlAlchemy Core, a tool that I absolutely recommend, but my post is just a simple alternative to get developers to think about their approach. If that results in some devs reconsidering using "full fat" SQLAlchemy and to try SQLAlchemy Core, that's a win for me!
Your gist tries to highlight the difficulty of doing certain things without an ORM. Migrations (as just 1 example) doesn't need to be hard, simple tools like flyway, or migrate (https://github.com/golang-migrate/migrate) achieve a similar result (while also keeping you on the path of writing SQL!). Deep and complex relationships between objects also don't need to be hard - typically people approach this subject with a requirement to be very flexible in the way they want to build queries and objects, but that to me in a sign that maybe they should reconsider their business logic AND reconsider that, just maybe, their project doesn't require all that flexibility, it is fairly straightforward to extend objects and introduce some more complex representations as and when it is needed - will all of this make me write code faster? Absolutely not. That is why you have spent so much time perfecting SQLAlchemy, but then again, I am not advocating for devs to go and replace their usage of ORMs, just presenting an alternative that may or may not fit their needs for a new project + give devs the chance to learn something that the ORM might have taken away.
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best practices for testing of stored procedure calls?
Doing this now with a mysql db for my use case. Using sp to take a large chunk of data migration load off my data layer code. I am using migrate (go library) for migrations and hooked it up with a bunch of test suites for all SP and Triggers it creates. I test it against a testDB maintained as part of my CI/CD. Haven’t had an issue with production yet. It does however require quite a bit of initial setup.
- Database migration tool
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REST API with Go, Chi, MySQL and sqlx
Before we can start using MySQL we need to create a table to store our data. I will be using excellent migrate database migrations tool, it can also be imported as a libraray.
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Authentication system using Golang and Sveltekit - User registration
We need a database table to store our application's users' data. To generate and migrate a schema, we'll use golang migrate. Kindly follow these instructions to install it on your Operating system. To create a pair of migration files (up and down) for our user table, issue the following command in your terminal and at the root of your project:
What are some alternatives?
pugsql - A HugSQL-inspired database library for Python
goose
typed-sql
goose - A database migration tool. Supports SQL migrations and Go functions.
squiller - Generate boilerplate from annotated SQL queries
pgx - PostgreSQL driver and toolkit for Go
sql-template-tag - ES2015 tagged template string for preparing SQL statements, works with `pg`, `mysql`, and `sqlite`
tern - The SQL Fan's Migrator
sqlz - Simple struct/slice/chan mapper for SQL rows.
gormigrate - Minimalistic database migration helper for Gorm ORM
yesql - A Clojure library for using SQL.
sqlx - general purpose extensions to golang's database/sql