pggen
logrus
pggen | logrus | |
---|---|---|
11 | 32 | |
270 | 24,104 | |
- | - | |
6.6 | 3.0 | |
3 months ago | about 2 months ago | |
Go | Go | |
MIT License | MIT License |
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pggen
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Ask HN: ORM or Native SQL?
Cornucopia is neat. I wrote a similar library in Go [1] so I'm very interested in comparing design decisions.
The pros of the generated code per query approach:
- App code is coupled to query outputs and inputs (an API of sorts), not database tables. Therefore, you can refactor your DB without changing app code.
- Real SQL with the full breadth of DB features.
- Real type-checking with what the DB supports.
The cons:
- Type mapping is surprisingly hard to get right, especially with composite types and arrays and custom type converters. For example, a query might return multiple jsonb columns but the app code wants to parse them into different structs.
- Dynamic queries don't work with prepared statements. Prepared statements only support values, not identifiers or scalar SQL sub-queries, so the codegen layer needs a mechanism to template SQL. I haven't built this out yet but would like to.
[1]: https://github.com/jschaf/pggen
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What are the things with Go that have made you wish you were back in Spring/.NET/Django etc?
pggen is another fantastic library in this genre, which specifically targets postgres. It is driven by pgx. Can not recommend enough.
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Exiting the Vietnam of Programming: Our Journey in Dropping the ORM (In Golang)
> Do you write out 120 "INSERT" statements, 120 "UPDATE" statements, 120 "DELETE" statements as raw strings
Yes. For example: https://github.com/jschaf/pggen/blob/main/example/erp/order/....
> that is also using an ORM
ORM as a term covers a wide swathe of usage. In the smallest definition, an ORM converts DB tuples to Go structs. In common usage, most folks use ORM to mean a generic query builder plus the type conversion from tuples to structs. For other usages, I prefer the Patterns of Enterprise Application Architecture terms [1] like data-mapper, active record, and table-data gateway.
[1]: https://martinfowler.com/eaaCatalog/
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Back to basics: Writing an application using Go and PostgreSQL
You might like pggen (I’m the author) which only supports Postgres and pgx. https://github.com/jschaf/pggen
pggen occupies the same design space as sqlc but the implementations are quite different. Sqlc figures out the query types using type inference in Go which is nice because you don’t need Postgres at build time. Pggen asks Postgres what the query types are which is nice because it works with any extensions and arbitrarily complex queries.
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How We Went All In on sqlc/pgx for Postgres + Go
Any reason to use sqlc over pggen ? If you use Postgres, it seems like the superior option.
- We Went All in on Sqlc/Pgx for Postgres and Go
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What are your favorite packages to use?
Agree with your choices, except go-json which I never tried. pggen is fantastic. Love that library. The underlying driver, pgx, is also really well written.
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I don't want to learn your garbage query language
You might like the approach I took with pggen[1] which was inspired by sqlc[2]. You write a SQL query in regular SQL and the tool generates a type-safe Go querier struct with a method for each query.
The primary benefit of pggen and sqlc is that you don't need a different query model; it's just SQL and the tools automate the mapping between database rows and Go structs.
[1]: https://github.com/jschaf/pggen
[2]: https://github.com/kyleconroy/sqlc
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What is the best way to use PostgreSQL with Go?
I created pggen a few weeks ago to create my preferred method of database interaction: I write real SQL queries and I use generated, type-safe Go interfaces to the queries. https://github.com/jschaf/pggen
logrus
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Authentication system using Golang and Sveltekit - Initialization and setup
It's some sort of logging system well explained by Alex Edwards in Let’s Go Further. As stated, we could have used logrus or any other popular logging system in Go.
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Renaming public Go modules
Option 2, please. You may not have been around for the logrus debacle, but it was a giant pain.
- What is the common log library which is industry standard that is used in server applications?
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Observing AWS Lambda with Golang and Datadog
For the example I’m using the very popular logrus library and then I’m setting the log formatter to be JSON
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Best Logging Library for Golang
For choosing the candidates for the poll, I didn't do any thorough research. I was looking for a library to use in my project at work, and I ended up at sirupsen/logrus which was already being used by one of the dependencies in that project.
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Follow up to previous post: I contributed to an open source project outside working hours despite being asked not to. I was fired. No legal action.
I contribute to OSS as part of my job on the regular. The company is good about contributing upstream, signing CLAs, and all that. We still work against private forks for two main reasons: 1. Some changes that we need are not accepted by maintainers based on philosophical or architectural reasons that we can’t otherwise work around. You’re beholden to then unless you publicly fork the repo which has other legal/PR overhead for the company and OSS political implications. 2. Maintainers in the past have taken down repos, renamed repos, or changed the licensing on repos that have left us in a lurch. We always build against our own private forks because we need predictability and can’t be beholden to some other party for business continuity. We sync them down from the public upstream at our leisure.
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Sourcehut will blacklist the Go module mirror
If they change the case on their username on the other hand, the Go ecosystem explodes: https://github.com/sirupsen/logrus/issues/570#issuecomment-3...
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Lies we tell ourselves to keep using Golang
Like, for example, some projects importing logrus with a capital L and some with a lowercase L, and go modules having no way to reconcile the two: https://github.com/sirupsen/logrus/issues/553
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go-coffeeshop - A practical coffee shop application event-driven microservices built with Golang
Ugh. Wish people would stop using logrus. It’s in maintenance mode and slow, especially its stack tracing.
- Criando uma API Rest com Fiber - Uma história pessoal de aprendizado
What are some alternatives?
sqlc - Generate type-safe code from SQL
zap - Blazing fast, structured, leveled logging in Go.
SQLBoiler - Generate a Go ORM tailored to your database schema.
zerolog - Zero Allocation JSON Logger
sqlpp11 - A type safe SQL template library for C++
glog - Leveled execution logs for Go
pggen - A database first code generator focused on postgres
lumberjack - lumberjack is a log rolling package for Go
SqlKata Query Builder - SQL query builder, written in c#, helps you build complex queries easily, supports SqlServer, MySql, PostgreSql, Oracle, Sqlite and Firebird
slog
honeysql - Turn Clojure data structures into SQL
log15 - Structured, composable logging for Go