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    streaming JSON.parse and stringify


    var request = require('request')
      , JSONStream = require('JSONStream')
      , es = require('event-stream')
    request({url: ''})
      .pipe(es.mapSync(function (data) {
        return data


    parse stream of values that match a path


    The .. operator is the recursive descent operator from JSONPath, which will match a child at any depth (see examples below).

    If your keys have keys that include . or * etc, use an array instead. ['row', true, /^doc/].

    If you use an array, RegExps, booleans, and/or functions. The .. operator is also available in array representation, using {recurse: true}. any object that matches the path will be emitted as 'data' (and piped down stream)

    If path is empty or null, no 'data' events are emitted.


    query a couchdb view:

    curl -sS localhost:5984/tests/_all_docs&include_docs=true

    you will get something like this:

      { "id":"change1_0.6995461115147918"
      , "key":"change1_0.6995461115147918"
      , "value":{"rev":"1-e240bae28c7bb3667f02760f6398d508"}
      , "doc":{
          "_id":  "change1_0.6995461115147918"
        , "_rev": "1-e240bae28c7bb3667f02760f6398d508","hello":1}
      { "id":"change2_0.6995461115147918"
      , "key":"change2_0.6995461115147918"
      , "value":{"rev":"1-13677d36b98c0c075145bb8975105153"}
      , "doc":{
        , "_rev":"1-13677d36b98c0c075145bb8975105153"
        , "hello":2

    we are probably most interested in the rows.*.docs

    create a Stream that parses the documents from the feed like this:

    var stream = JSONStream.parse(['rows', true, 'doc']) //rows, ANYTHING, doc 
    stream.on('data', function(data) {
      console.log('received:', data);


    recursive patterns (..)

    JSONStream.parse('docs..value') (or JSONStream.parse(['docs', {recurse: true}, 'value']) using an array) will emit every value object that is a child, grand-child, etc. of the docs object. In this example, it will match exactly 5 times at various depth levels, emitting 0, 1, 2, 3 and 4 as results.

      "total": 5,
      "docs": [
          "key": {
            "value": 0,
            "some": "property"
        {"value": 1},
        {"value": 2},
        {"blbl": [{}, {"a":0, "b":1, "value":3}, 10]},
        {"value": 4}

    JSONStream.parse(pattern, map)

    provide a function that can be used to map or filter the json output. map is passed the value at that node of the pattern, if map return non-nullish (anything but null or undefined) that value will be emitted in the stream. If it returns a nullish value, nothing will be emitted.

    JSONStream.stringify(open, sep, close)

    Create a writable stream.

    you may pass in custom open, close, and seperator strings. But, by default, JSONStream.stringify() will create an array, (with default options open='[\n', sep='\n,\n', close='\n]\n')

    If you call JSONStream.stringify(false) the elements will only be seperated by a newline.

    If you only write one item this will be valid JSON.

    If you write many items, you can use a RegExp to split it into valid chunks.

    JSONStream.stringifyObject(open, sep, close)

    Very much like JSONStream.stringify, but creates a writable stream for objects instead of arrays.

    Accordingly, open='{\n', sep='\n,\n', close='\n}\n'.

    When you .write() to the stream you must supply an array with [ key, data ] as the first argument.

    unix tool

    query npm to see all the modules that browserify has ever depended on.

    curl | JSONStream 'versions.*.dependencies'


    There are occasional problems parsing and unparsing very precise numbers.

    I have opened an issue here:



    this module depends on by Tim Caswell and also thanks to Florent Jaby for teaching me about parsing with:




    npm i jsonstream3

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