search

Searches documents.

There is a limit to how many documents can be returned by a single search query. That limit is by default set at 10000 documents, and you can't get over it even with the from and size pagination options.

When processing a large number of documents (i.e. more than 1000), it is advised to paginate the results using SearchResult.next rather than increasing the size parameter.

When using a cursor with the scroll option, Elasticsearch has to duplicate the transaction log to keep the same result during the entire scroll session.
It can lead to memory leaks if a scroll duration too great is provided, or if too many scroll sessions are open simultaneously.

Available since Kuzzle 2.2.0

You can restrict the scroll session maximum duration under the services.storage.maxScrollDuration configuration key.

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search(index, collection, [query], [options]);

Argument	Type	Description
index	string	Index name
collection	string	Collection name
query	object	Search query
options	object	Query options

Options

Additional query options

Options	Type (default)	Description
queuable	boolean (true)	If true, queues the request during downtime, until connected to Kuzzle again
from	number (0)	Offset of the first document to fetch
size	number (10)	Maximum number of documents to retrieve per page
scroll	string ("")	When set, gets a forward-only cursor having its ttl set to the given value (ie 30s; cf elasticsearch time limits)

Body properties

Optional:

• query: the search query itself, using the ElasticSearch Query DSL syntax.
• aggregations: control how the search results should be aggregated
• sort: contains a list of fields, used to sort search results, in order of importance.

An empty body matches all documents in the queried collection.

Resolves

Resolves to a SearchResult object.

Usage

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const suv = { category: 'suv' };
const limousine = { category: 'limousine' };

try {
  const requests = [];

  for (let i = 0; i < 5; i++) {
    requests.push(kuzzle.document.create('nyc-open-data', 'yellow-taxi', suv));
  }
  for (let i = 0; i < 10; i++) {
    requests.push(kuzzle.document.create('nyc-open-data', 'yellow-taxi', limousine));
  }
  await Promise.all(requests);

  await kuzzle.collection.refresh('nyc-open-data', 'yellow-taxi');

  const results = await kuzzle.document.search(
    'nyc-open-data',
    'yellow-taxi',
    {
      query: {
        match: {
          category: 'suv'
        }
      }
    }
  );

  console.log(results);
  /*
    {
      "aggregations": undefined,
      "hits": [
        {
          "_id": "AWgi6A1POQUM6ucJ3q06",
          "_score": 0.046520017,
          "_source": {
            "category": "suv",
            "_kuzzle_info": {
              "author": "-1",
              "createdAt": 1546773859655,
              "updatedAt": null,
              "updater": null
            }
          }
        },
        ...
      ]
    },
    "total": 5,
    "fetched": 5,
    "scroll_id": undefined
  */
  console.log(`Successfully retrieved ${results.total} documents`);
} catch (error) {
  console.error(error.message);
}