sqlc: Generating go code from sql statements

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/golang

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  • sqlc

    Generate type-safe code from SQL

    Since it has a decent amount of stars, I suspect that a lot of people know it already, but I came across a cool tool through a tutorial: https://github.com/kyleconroy/sqlc

  • pg_query_go

    Go library to parse and normalize SQL queries using the PostgreSQL query parser

    If you are using Postgres then you are lucky! sqlc uses the official postgres parser (https://github.com/pganalyze/pg_query_go) and while I have never tried it, I guess it works really well.

  • 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.

  • parser

    A MySQL Compatible SQL Parser (by pingcap)

    For MySQL the situation is a bit different. sqlc uses the parser of TiDB (https://github.com/pingcap/parser), which is a parser that aims to be basically compatible with MySQL, but is quite young and is not a MySQL parser. The most basic queries work, but even simple joins or aggregations usually result in variables with unknown data types or wrong nullability. So you loose a lot of the benefits of sqlc. Manual type annotations for MySQL also do not work most of the time. They are simply ignored and forwarded to MySQL as invalid query if they do not occur on a place where sqlc is expecting them.

  • xo

    Command line tool to generate idiomatic Go code for SQL databases supporting PostgreSQL, MySQL, SQLite, Oracle, and Microsoft SQL Server (by xo)

    Thanks for sharing your thoughts! I see that it works best with Postgresql. The other commenter mentioned https://github.com/xo/xo for MySql which might work well.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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