node-qvx

Read and Write Qlik QVX data using Streams

Status

Documentation needs to so please have a look at the tests.

Have a look at https://github.com/kmpm/node-qvxserver for a Hapi based webserver that will give you qvx data.

There is a live demo of this library at https://qvx-demo.herokuapp.com that pulls information from http://www.scb.se/api and converts to qvx.

Installation

npm install

There is a dependency on a module called bignum that uses some native SSL libraries for handling 64 bit integers. This dependency might be tricky to install in windows. Go to https://slproweb.com/products/Win32OpenSSL.html and download the latest full version of OpenSLL and install it to it's default location. That might help.

Examples

Outbound

Have a look at https://github.com/kmpm/node-qvxserver for a Hapi based webserver that will give you qvx data that for example QlikView can read. Also look at tests/outbound.tests.js and test/schema.tests.js.

Since the process is quit simple but quite verbos it's not suitable for the readme but you basically do.

Create a field definition with datatypes
Create a resuable schema instance using these field definitions
From a stream of objects that match the field definition, pipe through
the schema instance.

Inbound

This shows a use of Inbound, something that you would do if you needed to read qvx data from somewhere. It's used internally for testing and validation.


var concat = require('concat-stream');
var JSONStream = require('JSONStream');
var fs = require('fs');

var qvx = require('qvx');

var inbound = new qvx.Inbound({recordFormat: 'object'});
var fileStream = fs.createReadStream('test_expressor.qvx');
var stringify = JSONStream.stringify(false);

fileStream
.pipe(inbound)
.pipe(stringify)
.pipe(concat(function (body) {
  console.log(body);
}));