SDK Javascript v5.x

# search

Executes a search on the collection.

There is a small delay between the time a document is created and its availability in our search layer (usually a couple of seconds). That means that a document that was just created might not be returned by this function at first.

# Processing large data sets

When processing a large number of documents (i.e. more than 1000), using search is not always the best option.

Pagination of results can be done by using the from and size but the cost becomes prohibitive when deep pagination is reached. In fact, Elasticsearch, Kuzzle's embedded database, limits results to 10,000 records by default.

Instead, the recommended way to process a large number of documents is to use Collection.scroll or, easier, SearchResult.fetchNext.

See SearchResult.fetchNext for an example of how to process every document of a collection.

# search(body, [options], callback)

Arguments Type Description
body JSON object Search request body, using ElasticSearch Query DSL format.
If given an empty object, matches all documents in the collection
options JSON object Optional parameters
callback function Callback handling the response

# Options

Option Type Description Default
from number Provide the starting offset of the request (used to paginate results) 0
queuable boolean Make this request queuable or not true
scroll string Start a scroll session, with a time to live equals to this parameter's value following the Elastisearch time format undefined
size number Provide the maximum number of results of the request (used to paginate results) 10
To get more information about scroll sessions, please refer to the [API reference documentation](/core/1/api/controllers/document/search).

# Callback Response

Returns an instance of SearchResult.

# Usage

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  body = {
    query: {
      bool: {
        must: [
            terms: {status: ['idle', 'wantToHire', 'toHire', 'riding']}
            term: {type: 'cab'}
            geo_distance: {
              distance: '10km',
              pos: {lat: '48.8566140', lon: '2.352222'}
    sort: [
        _geo_distance : {
          pos: {lat: '48.8566140', lon: '2.352222'},
          order : "asc"
      {date: "desc"}
    aggregations: {
      aggs_name: {
        terms: {
          field: "field_name"
  options = {
    from: 0,
    size: 20
// Using callbacks (NodeJS or Web Browser)
  .collection('collection', 'index')
  .search(body, options, function (err, searchResult) {
    searchResult.getDocuments().forEach(function(document) {
// Using promises (NodeJS only)
  .collection('collection', 'index')
  .searchPromise(body, options)
  .then(searchResult => {
    searchResult.getDocuments().forEach(document => {