This package is a stringifier converting records into a CSV text and implementing the
stream.Transform API. It is also providing a easier synchronous or
callback-based API for converniency. It is both extremely easy to use and
powerfull. It was first released in 2010 and is tested against big data
sets by a large community.
Source code for this project is available on GitHub.
npm install csv to install the full csv module or run
npm install csv-stringify if you are only interested by the CSV stringifier.
Use the stream based API for scalability and the sync or mixed APIs for simplicity.
It implement the native Node.js [transform stream][stream] which is both readable and writable.
This is the recommended approach if you need a maximum of power. It ensure scalability by treating your data as a stream from the source to the destination.
const stringify = require('csv-stringify') stringify([options]);
It leverages the stream transform API but input doesn't have to be an readable stream and output doesn't have to be a writable stream. Input may be a string passed as first argument. Output may be obtained in the callback passed as last argument.
Uses it for convenience in case you are already interacting with a readable stream or a writable stream. It is not scalable because it implies that you either have all your records in memory and wish to pipe the generated CSV into a stream writer or that you have a stream reader generated records and wish to obtain a string representing the full CSV text.
const stringify = require('csv-stringify') stringify([data], [options], [callback])
It accepts a full data set of records and returns the full result set.
This represent a regular direct synchronous call to a function: you pass records and it return a CSV text. Because of its simplicity, this is the recommended approach if you don't need scalability and if your dataset fit in memory.
const stringify = require('csv-stringify/lib/sync') stringify(records, [options])
Options may include:
List of fields, applied when
transformreturns an object, order matters, read the transformer documentation for additionnal information, columns are auto discovered in the first record when the user write objects, can refer to nested properties of the input JSON, see the "header" option on how to print columns names on the first line.
Set the field delimiter, one character only, defaults to a comma.
Add the value of "options.rowDelimiter" on the last line, default to true.
Defaults to the escape read option.
Display the column names on the first line if the columns option is provided or discovered.
Defaults to the quote read option.
Boolean, default to false, quote all the non-empty fields even if not required.
Boolean, no default, quote empty fields? If specified, overrides
quotedStringfor empty strings.
Boolean, default to false, quote all fields of type string even if not required.
String used to delimit record rows or a special value; special values are 'auto', 'unix', 'mac', 'windows', 'unicode'; defaults to 'auto' (discovered in source or 'unix' if no source is specified).
formattersKey-value object which defines custom formatters for certain data types
dateCustom formatter for date values
boolCustom formatter for boolean values
objectCustom formatter for generic object values
All options are optional.