Sqlx Alternatives
Similar projects and alternatives to sqlx
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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go-sql-driver/mysql
Go MySQL Driver is a MySQL driver for Go's (golang) database/sql package (by go-sql-driver)
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OPS
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
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Gin
Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
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SqlKata Query Builder
SQL query builder, written in c#, helps you build complex queries easily, supports SqlServer, MySql, PostgreSql, Oracle, Sqlite and Firebird
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Testify
A toolkit with common assertions and mocks that plays nicely with the standard library
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Reviews and mentions
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Web dev learning path advice
Learn sqlx if you use mysql: https://github.com/jmoiron/sqlx
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Batch inserts with sqlx is still a pain in postgresql
The pull request link is broken, even after the obvious fix. https://github.com/jmoiron/sqlx/pull/285
Using sqlx to integrate with postgres. Having the need for doing batch inserts, did a bit of search & found this [PR][https://github.com/jmoiron/sqlx/pull/285(https://github.com/jmoiron/sqlx/pull/285)
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Sqlite3 - driver or ORM, which?
That being said, I would recommend sqlx to help with the DB/querying.
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Golang for backend
Using the correct driver to connect to the database + https://github.com/jmoiron/sqlx. You will always receive a JSON array on the output with which it is very convenient to work.
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Which SQL driver to use with Postgres
For convenience, it is better to use https://github.com/lib/pq in conjunction with https://github.com/jmoiron/sqlx, you will have all the data in json
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Twelve Years of Go
There are ORMs available for Golang, but my experience has been better with packages like sqlx [1] or dat [2]. We've since been using SQLX for pretty much all DBMS related work, and regret nothing. In my experience SQLX gave us the right balance between abstraction and control.
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How to execute an INSERT query using sqlx for a data which has nested struct?
Line 44 in: https://github.com/jmoiron/sqlx/blob/a1d5e64734233358bc4e0a54beddc18509071a95/reflectx/reflect_test.go
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How to execute an INSERT query using sqlx for a data which has embedded struct?
Say we want to insert the following data using INSERT query to a mysql database - say SampleDatabase (using sqlx - https://github.com/jmoiron/sqlx) type Sample struct { A int64 B string Data interface{} } Data can be type C struct{} or type D struct{} or nil type C struct{} and type D struct{} have fields defined within them like type C struct{ E int64 F string }
- Auto generating API schema code?
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What are your favorite packages to use?
sqlx which make working with database painless. It's really vital for my job since as an ordinary developer my jobs often revolved on creating CRUD apps. It also uses SQL query, so I don't have to learn any ORMs.
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Dynamic ORDER BY in sqlx
Maybe most efficient guide: http://jmoiron.github.io/sqlx/
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What are the most useful packages you know for Go?
https://github.com/jmoiron/sqlx : Great extension of the standard database/sql package, but 100% compatible with it
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Ask HN: What technology do you regret choosing?
For the simplest of operations, like just writing stuff to your DB and then retrieving it again, they work a charm. Especially in Go, the ability to automatically marshal things into structs is a blessing.
BUT, then you try to start doing things with many2many relationships, or retrieving sorted data in a very specific, nested query and things to sideways quickly.
I ended up finding it much harder to try to figure out how to do some pretty obvious things. Endless hours on Stackoverflow fighting the ORM and its shockingly bad documentation...
Eventually I just bit the bullet and learned how to write Postgres queries, along with a small Go library called sqlx (https://jmoiron.github.io/sqlx/) which massively outperformed GORM (https://medium.com/@rocketlaunchr.cloud/how-to-benchmark-dbq...) and it's much more straight forward to reason about the relationship between my application layer and the DB.
Stats
jmoiron/sqlx is an open source project licensed under MIT License which is an OSI approved license.
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