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 🙏

© 2026 – Pkg Stats / Ryan Hefner

pg-query-maker

v1.1.0

Published

Node.js library for creating SQL scripts tailored for PostgreSQL

Downloads

24

Readme

pg-query-maker

Node.js library for creating SQL scripts tailored for PostgreSQL

Installation

npm install pg-query-maker

Basic Usage

const PgQueryMaker = require("pg-query-maker");
const pgQueryMaker = new PgQueryMaker();

Optional config

pgQueryMaker.dir = "./pgqm-files";
pgQueryMaker.config.columnsByType = {
    uuid: {
        columns: ["id_player"],
        isSchemaType: true
    },
    json: {
        columns: ["player_data","team_data"]
    },
    string: {
        columns: ["first_name","last_name"]
    },
}
pgQueryMaker.config.columnsByTable = {
    players: {
        columns: ["id_player","first_name","last_name","player_data"]
    },
    teams: {
        columns: ["id_team","name","team_data"]
    }
}

Select

function findPlayersByTeamName(teamName){
    pgQueryMaker.select({
        label: "playersByTeamName", // label for filename
        schemas: ["schema1","schema2"],
        distinctOn: ["id_player"],
        columns: ["a.first_name", "a.last_name"],
        tables: ["players as a"], // array of strings or objects, example {name: 'players', as: 'a'}
        join: (schema) => `"${schema}".teams AS b ON a.player_data ->> 'id_team' = b.id_team`, //string or function 
        where: `b.name ILIKE '%${teamName}%'`, // string or function if schema name is needed
        orderBy: "a.last_name DESC",
    })
}
findPlayersByTeamName("Boca Juniors")

Insert

function createPlayer(insertData){
    pgQueryMaker.insert({
        label: "createPlayer",
        schemas: ["schema1","schema2"],
        tables: ["players"],
        insertData,
        onConflict: "DO NOTHING"
    })
}
createPlayer({
    id_player: {
        type: pgQueryMaker.Types.uuid,
        value: "25b72467-cb6b-4cef-828a-67fb78f9d222"
    },
    first_name: "Lionel", // type is not necessary if the column has already been added in the configuration
    last_name: {
        type: pgQueryMaker.Types.string,
        value: "Messi"
    },
    player_data: {
        id_team: 32,
        birthdate: '1987-06-24'
    } 
})

Update

pgQueryMaker.update({
    label: "updatePlayer",
    schemas: ["schema1"],
    tables: ["players"],
    set: "first_name = 'Lionel Andres'",
    where: "id_player = '25b72467-cb6b-4cef-828a-67fb78f9d222'"
})

Delete

pgQueryMaker.delete({
    label: "deleteOldPlayers",
    schemas: ["schema1","schema2"],
    tables: ["players"],
    where: "player_data ->> 'birthdate' > '1984-01-01'"
})