npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@hero-page/hero-sql-querybuilder

v1.0.0

Published

A library that assists in building dynamic SQL queries with various conditions and options

Downloads

6

Readme

This entire repository was created completely with AI, using the hero-ai-package-creator, which is open-source, uses GPT-4, and is written & maintained by Sam Chahine ❣️🧞‍♀️

hero-sql-querybuilder

A library that assists in building dynamic SQL queries with various conditions and options.

Functions

select(columns, tableName)

Builds a simple SELECT query with given columns and table name. Handles edge cases where columns are empty or not an array, and table name is not a string. For example, select(['id', 'name'], 'users') returns 'SELECT id, name FROM users'.

where(condition(s))

Builds a WHERE clause with given condition(s). Handles single conditions, multiple conditions with AND or OR, and nested conditions. For example, where('id = 1') returns 'WHERE id = 1'; where([{cond: 'id = 1', op: 'AND', cond: 'name = John'}]) returns 'WHERE id = 1 AND name = John'.

orderBy(column(s), sortOrder)

Builds an ORDER BY clause with given column(s) and optional sort order. Handles single column or multiple columns with ASC/DESC. For example, orderBy('name', 'DESC') returns 'ORDER BY name DESC'.

groupBy(column(s))

Builds a GROUP BY clause with given column(s). Handles single column, multiple columns, and checks for valid column names. For example, groupBy(['name', 'age']) returns 'GROUP BY name, age'.

limit(limitValue)

Builds a LIMIT clause with the given limit value. Handles edge cases where limit is not a valid number or is less than 1. For example, limit(10) returns 'LIMIT 10'.

insert(tableName, columnNames, values)

Builds a basic INSERT query with given table name, column names, and value(s). Handles single/multiple rows and checks for matching column and value count. For example, insert('users', ['name', 'age'], [['John', '30'], ['Jane', '25']]) returns "INSERT INTO users (name, age) VALUES ('John', '30'), ('Jane', '25')".

update(tableName, columnValuePair, whereClause)

Builds an UPDATE query with given table name, column and value pairs, and optional WHERE clause. Handles single/multiple column-value pairs and checks for matching column and value count. For example, update('users', {name: 'John', age: '30'}, 'id = 1') returns "UPDATE users SET name = 'John', age = '30' WHERE id = 1".


Sam Chahine, at Hero

Tests for groupBy

groupBy

Tests for select

select

Tests for update

update

Tests for where

where

Tests for insert

insert

Tests for limit

limit

Tests for orderBy

orderBy