Skip to content

csv-parse

Directory actions

More options

Directory actions

More options

Latest commit

 

History

History

csv-parse

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
lib
lib
 
 
samples
samples
 
 
src
src
 
 
test
test
 
 
.travis.yml
.travis.yml
 
 
LICENSE
LICENSE
 
 
Makefile
Makefile
 
 
README.md
README.md
 
 
package.json
package.json
 
 

README.md

Build Status

Part of the CSV module, this project is a parser converting CSV text input into arrays or objects. It implements the Node.js stream.Transform`API. It also provides a simple callback-base API for convenience. It is both extremely easy to use and powerful. It was first released in 2010 and is used against big data sets by a large community.

The full documentation of the CSV parser is available here.

Features

  • Follow the Node.js streaming API
  • Support delimiters, quotes, escape characters and comments
  • Line breaks discovery
  • Support big datasets
  • Complete test coverage and samples for inspiration
  • no external dependencies
  • to be used conjointly with csv-generate, stream-transform and csv-stringify

Usage

Run npm install csv to install the full CSV package or run npm install csv-parse if you are only interested by the CSV parser.

Use the callback style API for simplicity or the stream based API for scalability. You may also mix the two styles. For example, the fs_read.js example pipe a file stream reader and get the results inside a callback.

For examples, refer to the "samples" folder, the documentation or the "test" folder.

Using the callback API

The parser receive a string and returns an array inside a user-provided callback. This example is available with the command node samples/callback.js.

See the full list of supported parsing options below.

var parse = require('csv-parse');
require('should');

var input = '#Welcome\n"1","2","3","4"\n"a","b","c","d"';
parse(input, {comment: '#'}, function(err, output){
  output.should.eql([ [ '1', '2', '3', '4' ], [ 'a', 'b', 'c', 'd' ] ]);
});

Using the stream API

The CSV parser implements the stream.Transform`API.

CSV data is send through the write function and the resulted data is obtained within the "readable" event by calling the read function. This example is available with the command node samples/stream.js.

See the full list of supported parser options below.

var parse = require('csv-parse');
require('should');

var output = [];
// Create the parser
var parser = parse({delimiter: ':'});
// Use the writable stream api
parser.on('readable', function(){
  while(record = parser.read()){
    output.push(record);
  }
});
// Catch any error
parser.on('error', function(err){
  console.log(err.message);
});
// When we are done, test that the parsed output matched what expected
parser.on('finish', function(){
  output.should.eql([
    [ 'root','x','0','0','root','/root','/bin/bash' ],
    [ 'someone','x','1022','1022','a funny cat','/home/someone','/bin/bash' ]
  ]);
});
// Now that setup is done, write data to the stream
parser.write("root:x:0:0:root:/root:/bin/bash\n");
parser.write("someone:x:1022:1022:a funny cat:/home/someone:/bin/bash\n");
// Close the readable stream
parser.end();

Using the pipe function

One useful function part of the Stream API is pipe to interact between multiple streams. You may use this function to pipe a stream.Readable string source to a stream.Writable object destination. This example available as node samples/pipe.js read the file, parse its content and transform it.

var fs = require('fs');
var parse = require('csv-parse');
var transform = require('stream-transform');

var output = [];
var parser = parse({delimiter: ':'})
var input = fs.createReadStream('/etc/passwd');
var transformer = transform(function(record, callback){
  setTimeout(function(){
    callback(null, record.join(' ')+'\n');
  }, 500);
}, {parallel: 10});
input.pipe(parser).pipe(transformer).pipe(process.stdout);

Parser options

  • delimiter Set the field delimiter. One character only, defaults to comma.
  • rowDelimiter 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).
  • quote Optional character surrounding a field, one character only, defaults to double quotes.
  • escape Set the escape character, one character only, defaults to double quotes.
  • columns List of fields as an array, a user defined callback accepting the first line and returning the column names or true if autodiscovered in the first CSV line, default to null, affect the result data set in the sense that records will be objects instead of arrays.
  • comment Treat all the characteres after this one as a comment, default to '#'.
  • objname Name of header-record title to name objects by.
  • skip_empty_lines Dont generate empty values for empty lines.
  • trim If true, ignore whitespace immediately around the delimiter, defaults to false.
  • ltrim If true, ignore whitespace immediately following the delimiter (i.e. left-trim all fields), defaults to false.
  • rtrim If true, ignore whitespace immediately preceding the delimiter (i.e. right-trim all fields), defaults to false.
  • auto_parse If true, the parser will attempt to convert read data types to native types.

Migration

Most of the generator is imported from its parent project CSV in a effort to split it between the generator, the parser, the transformer and the stringifier.

The "record" has disappeared, you are encouraged to use the "readable" event conjointly with the "read" function as documented above and in the Stream API.

Development

Tests are executed with mocha. To install it, simple run npm install followed by npm test. It will install mocha and its dependencies in your project "node_modules" directory and run the test suite. The tests run against the CoffeeScript source files.

To generate the JavaScript files, run make build.

The test suite is run online with Travis against the versions 0.10 and 0.11 of Node.js.

Contributors