@el3um4s/node-mdb v0.1.2

Node MDB

A Node.js javascript client implementing the ADODB protocol on windows.

NPM link: @el3um4s/node-mdb

This project arises from the need to access legacy databases. Read tables from MDB files. Performs simple queries on MDB files. It can be considered as an updated version of node-adodb. For *nix systems you can use Node MdbTools.

The library need system support Microsoft.Jet.OLEDB.4.0 or Microsoft.ACE.OLEDB.12.0, Windows XP SP2 above support Microsoft.Jet.OLEDB.4.0 by default, Others need to install support!

Recommended use Microsoft.ACE.OLEDB.12.0, download: Microsoft.ACE.OLEDB.12.0

Install and use the package

To use the package in a project:

npm i @el3um4s/node-mdb

and then in a file:

import { table } from "@el3um4s/node-mdb";

const database = "./src/__tests__/test.mdb";

const result = await table.list({ database });
console.log(result);
//  ["Attività", "Users", "To Do"]

const schema = await table.schema({ database, table: "to do" });
console.log(schema);
// [
//   { DESC: "Integer", NAME: "ord", TYPE: "3" },
//   { DESC: "VarWChar", NAME: "to do", TYPE: "202" },
// ]

API: table

• table.list({ database:string }): Promise<string[]>: list all tables in the database (excluding system tables)
• table.all({ database:string} ): Promise<string[]>: list all tables in the database (including system tables)
• table.system({ database:string} ): Promise<string[]>: list all system tables in the database
• table.schema({ database:string, table:string }): Promise<Columns[]>: get the schema of the table. Return an array of objects with the following properties:
  • NAME: string: name of the column
  • TYPE: number: type of the column
  • DESC: string: description of the column
• table.read({ database:string, table:string }): Promise<GenericObject[]>: read the table like an array of objects.
• table.readAllTables({ database:string, events?: ReadEvents }): Promise<TableContents[]>: read all tables like an array of objects type TableContents with the following properties:
  • TABLE_NAME: string: name of the table
  • TABLE_CONTENT: GenericObject[]: content of the table
  • TABLE_ROWS: number: rows of the table You can intercept the events by passing an object with the following properties:
  • onStart: (tables: string[]) => void: called when the reading starts
  • onEnd: (result: TableContents[]) => void: called when the reading ends
  • onTableRead: (data: TableContents) => void: called when the table is read
• table.select({ database:string, table:string, columns?:string[], where?:string }): Promise<GenericObject[]>: read the table like an array of objects.
• table.count({ database:string, table:string }): Promise<number>: count the number of rows in the table.
• table.listToFile({ database:string, file:string }): Promise<boolean>: list all tables in the database (excluding system tables) and save them in file
• table.exportToFileJSON({ database:string, table:string, file:string }): Promise<boolean>: read the table like an array of objects and save it in file
• table.exportToFileCSV({ database:string, table:string, file:string }): Promise<boolean>: read the table and export to a CSV file
• table.exportAllTablesToFileJSON({ database:string, folder: string, events?: ReadEvents }): Promise<TableContents[]>: read all tables like an array of objects and save it in file
• table.exportAllTablesToFileCSV({ database:string, folder: string, events?: ReadEvents }): Promise<TableContents[]>: read all tables like an array of objects and export to a CSV file

API: query

• query.sql({ database:string, sql:string }): Promise<GenericObject[]>: execute a SQL query and return an array of objects.
• query.sqlToFileJSON({ database:string, sql:string, file:string }): Promise<boolean>: execute a SQL query and save the result in file
• query.sqlToFileCSV({ database:string, sql:string, file:string }): Promise<boolean>: execute a SQL query and and export the result to a CSV file