Socket
Socket
Sign inDemoInstall

dbwalker

Package Overview
Dependencies
18
Maintainers
1
Versions
47
Alerts
File Explorer

Advanced tools

Install Socket

Detect and block malicious and high-risk dependencies

Install

    dbwalker

Library to walking on database.


Version published
Weekly downloads
18
increased by80%
Maintainers
1
Created
Weekly downloads
 

Readme

Source

A Library to walk the database using serverless-mysql

The most flexible MySQL query builder, using serverless-mysql to run and retrieve data.

Downloads Version License Rate this package

You can use objects, arrays and strings to build your queries using easy-to-understand methods.

IMPORTANT: this library is under development and stil in alpha. It's a very useful, but I don't recommend using it without a supervision.

Connection

You can connect to the database in the following ways:

// using a connection string
const db = new DBWalker("mysql://user:pass@host:port/base");
// parsing inline connection data
const db = new DBWalker({ host, ?port, user, pass, base });
// using array of connection data
const db = new DBWalker([host, ?port, user, pass, base]); // my fav to testing
// getting from ".env" file
const db = new DBWalker();

.env variables:

DBWALKER_HOST=
DBWALKER_PORT=
DBWALKER_USER=
DBWALKER_PASS=
DBWALKER_BASE=

Or .env variable string:

DBWALKER_STRING="mysql://user:pass@host:port/base"

Usage

Raw SQL example:

const raw = db.query("SELECT `alias`.* FROM `database`.`table` AS `alias` WHERE `alias`.`param` = ? ORDER BY ?", ["value", "field"]);

You can use select(), insert(), update(), delete() methods to build your queries.

const select = await db.select({
    table: "table", 
    ?columns: [
        "table_alias.field_name AS field_alias",
    ],
    ?fields: {
        field_alias: "table.field_name",
        field_name: "field_name",
        function_return: "(SELECT GROUP_CONCAT(value) FROM table_other WHERE table_other.field = table.field GROUP BY table_other.field)",
        other_function_return: "(SELECT other_table.field FROM table_other AS other_table WHERE other_table.field = table.field ORDER BY other_table.field LIMIT 1)",
    }, 
    ?joins, 
    ?where: [
        "field_name > 8.9", // field_name > 8.9
        { "field_name": "value" }, // field_name = value
        { "field_name": true }, // field_name = 1
        { "field_name": 88.9 }, // field_name = 88.9
        { is_null: "field_name" }, // field_name IS NULL
        { not_null: "field_name" }, // field_name IS NOT NULL
        { is_empty: "field_name" }, // field_name = ''
        { not_empty: "field_name" }, // field_name != ''
        { field: "field_name", between: ["param", "param"] }, // field_name BETWEEN param AND param
        { field: "field_name", not_between: ["param", "param"] }, // field_name BETWEEN param AND param
        { field: "field_name", in: ["options_array"] }, // field_name IN (options_array)
        { field: "field_name", not_in: ["options_array"] }, // field_name NOT IN (options_array)
        { field: "field_name", like: "value" }, // field_name LIKE '%value%'
        { field: "field_name", not_like: "value" }, // field_name NOT LIKE '%value%'
        { field: "field_name", start_with: "value" }, // field_name LIKE 'value%'
        { field: "field_name", end_with: "value" }, // field_name LIKE '%value'
        { field: "field_name", find_in_set: "value" }, // FIND_IN_SET(value, field_name)'
    ],
    ?group_by: ["fields"], 
    ?order_by: ["fields"], 
    ?limit: int, 
    ?offset: int
});

const insert = await db.insert({
    table: "table", 
    data: {
        field_name: "value"
    }
});

const update = await db.update({
    table: "table", 
    ?joins, 
    data: {
        field_name: "value"
    }, 
    where: [(...)]
});

const delete = await db.delete({
    table: "table", 
    ?joins,
    where: [(...)]
});

Tou can use .toString() method to return a MySQL string:

const select = db.select({
    table: "database.table AS table_alias", 
    columns: [
        "table_alias.column_name", 
        "table_alias.column_name AS column_alias"
    ]
}).toString();
SELECT table_alias.column_name, table_alias.column_name AS column_alias FROM `database`.`table` AS `table_alias`

Thanks to sql-formatter, we can return a pretty sql string using the .format() method as following:

const select = db.select({
    table: "database.table AS table_alias", 
    fields: { 
        field_alias: "table_alias.real_field_name"
    }
}).format();
SELECT
    table_alias.real_columnd_name AS `field_alias`
FROM 
    `database`.`table` AS `table_alias`
WHERE (...)

Using .run() returns a <Promise> with result or throw an error catchable.

Examples of use:

const results = await dbwalker.select(select).run();
// { success: bool, rows: int, data: array }

dbwalker.insert(insert).run() // { success: bool, insert_id: int, affected_rows: int }
    .then(res => {
    if(res.success) return dbwalker.select({
        table_name, 
        where: [
            { id: res.insert_id}
        ]
    });
});

dbwalker.update(update).run()// { success: bool, insert_id: int, affected_rows: int }
    .then(res => console.log(`${res.affected_rows} changed`))
    .catch(err => console.loc(err));

dbwalker.delete(update).run().catch(err => console.loc(err)).finaly(dbwalker.quit());

Keywords

FAQs

Last updated on 02 Jan 2024

Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc