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mongo-cursor-processing

v1.0.0

Published

Process documents from a mongodb cursor with a constant level of concurrency without having all in memory.

Downloads

616

Readme

mongo-cursor-processing

Easily and efficiently process large sets of mongodb documents from a cursor without loading the entire result set in memory at once.

mongo-cursor-processing is a module for iterating through results from a mongodb cursor with a set level of concurrency.

You could just grab the result set and put it in an async queue, but that would load every object in memory at once, which might not be possible for large data sets. You could add a small number of documents to a queue, wait until they are all done, and then add more, but once the number of items in the queue is less than the concurrency of the queue you are wasting some processing time waiting for those last items to be done.

mongo-cursor-processing to the rescue!

API

Install with npm install mongo-cursor-processing. It exports a single function that looks like this:

`function mp(cursor, task, [concurrency], cb)

  • cursor Object - a mongodb cursor, as returned from a mongodb query.
  • task Function - function(item, done) - a worker function that will be called once with each item that comes off the cursor. Call the done function when you are done with the item.
  • concurrency Number - number of worker functions to be running at the same time. Defaults to 10 if unspecified.
  • cb Function - function(err) that will be called when all items from the cursor have been processed, or any of them were processed with an error.

Example

var mp = require('mongo-cursor-processing')
var mongo = require('mongoskin')
var db = mongo.db('mongodb://localhost:27017/my_db', {w:1})


// cursors get returned from queries
var cursor = db.collection('people').find({name: 'John'})

function workOnPerson(person, cb) {
  // do some async work with the person
  cb()
}

mp(personCursor, workOnPerson, function(err) {
  if (err) {
    console.error('on noes, an error', err)
    process.exit(1)
  }
  console.log('we did it team')
  db.close()
})