csv-except v1.0.4

csv-except

The NPM package that quickly finds and returns differences between CSV files.

• csv-except
  • Installation
    • Package check
  • Usage
    • exceptLeft
    • exceptRight
    • intersect
    • notintersect
    • jesonize
  • Performance considerations
  • Comma-Separated Values (CSV)
  • License

Installation

You can install this package via npm.

npm i csv-except

Package check

Just to check the success of the installation, also returns basic package information.

const csvexcept = require('csv-except');
console.log(csvexcept.itWorks());

#output : { json } > {
#    "itWorks": "Yes, it works!",
#    "package": "csv-except",
#    "version": "1.0.2"
#}

Usage

exceptLeft

Returns rows which are present in leftFilePath excluding rows ​​that are also present in rightFilePath. So the rows ​​that are only in leftFilePath.

const csvexcept = require('csv-except');
console.log(csvexcept.exceptLeft('path-to-local-csv-file', 'path-to-local-csv-file'));

#output : { array[][] } > rows

exceptRight

Returns rows which are present in rightFilePath excluding rows ​​that are also present in leftFilePath. So the rows ​​that are only in rightFilePath.

const csvexcept = require('csv-except');
console.log(csvexcept.exceptRight('path-to-local-csv-file', 'path-to-local-csv-file'));

#output : { array[][] } > rows

intersect

Returns rows which are present in both leftFilePath and rightFilePath.

const csvexcept = require('csv-except');
console.log(csvexcept.intersect('path-to-local-csv-file', 'path-to-local-csv-file'));

#output : { array[][] } > rows

notintersect

Returns rows in leftFilePath which are not present in rightFilePath and rows in rightFilePath which are not present in leftFilePath.

const csvexcept = require('csv-except');
console.log(csvexcept.notintersect('path-to-local-csv-file', 'path-to-local-csv-file'));

#output : { array[][] } > rows

jesonize

Returns the output array converted to json.

const csvexcept = require('csv-except');
const header = new Array("Index","Organization Id","Name","Website","Country","Description","Founded","Industry","Number of employees");
console.log(csvexcept.jesonize(exceptLeft|exceptRight|intersect|notintersect, header);

#output : { json } >
#[
#    {
#        "Index": "91",
#        "Organization Id": "7ABc3c7ecA03B34",
#        "Name": "Sampson-Griffith",
#        "Website": "http://hendricks.org/",
#        "Country": "Benin",
#        "Description": "Multi-layered composite paradigm",
#        "Founded": "1972",
#        "Industry": "Textiles",
#        "Number of employees": "3881"
#    },
#    {
#        "Index": "100",
#        "Organization Id": "e9eB5A60Cef8354",
#        "Name": "Watkins-Kaiser",
#        "Website": "http://www.herring.com/",
#        "Country": "Togo",
#        "Description": "Synergistic background access",
#        "Founded": "2009",
#        "Industry": "Financial Services",
#        "Number of employees": "2785"
#    }
#]

Performance considerations

csv-except is designed and tested to quickly compare even large csv files with millions of rows and many columns.

Comma-Separated Values (CSV)

RCF 4180 directives

License

MIT