Start using Elasticsearch.js by creating an instance of the elasticsearch.Client
class. The constructor accepts a config object/hash where you can define defaults values, or even entire classes, for the client to use. For a full list of config options check out the the section deicated to configuration.
var elasticsearch = require('elasticsearch'); var client = new elasticsearch.Client({ host: 'localhost:9200', log: 'trace' });
Almost all of the methods on the client accept two arguments:
-
params
- an optional object/hash of parameters More info here. -
callback
- an optional function that will be called with the final result of the method. When omitted, a promise is returned. api-conventions-cb[More info here].
Send a HEAD request to "/?hello=elasticsearch" and allow up to 1 second for it to complete.
client.ping({ requestTimeout: 1000, // undocumented params are appended to the query string hello: "elasticsearch!" }, function (error) { if (error) { console.error('elasticsearch cluster is down!'); } else { console.log('All is well'); } });
Skip the callback to get a promise back.
client.search({ q: 'pants' }).then(function (body) { var hits = body.hits.hits; }, function (error) { console.trace(error.message); });
Prevent 404 responses from being considered errors by telling the client to ignore them.
client.indices.delete({ index: 'test_index', ignore: [404] }).then(function (body) { // since we told the client to ignore 404 errors, the // promise is resolved even if the index does not exist console.log('index was deleted or never existed'); }, function (error) { // oh no! });
A very common use-case for elasticsearch is to sort through through large collections of documents in order to find ones that are relavent to a query. In most cases you will use the client’s search()
method to accomplish this.
For many searches you will want to define a search document that tells elasticsearch exactly how to find the documents you are looking for. To do this you will use the elasticsearch query DSL. If you are not familiary with Elasticsearch’s query DSL is it recommended that you research the topic at elasticsearch.org or watch/read one of these introductions:
Now for some examples using the Query DSL.
Find tweets that have "elasticsearch" in their body field.
client.search({ index: 'twitter', type: 'tweets', body: { query: { match: { body: 'elasticsearch' } } } }).then(function (resp) { var hits = resp.hits.hits; }, function (err) { console.trace(err.message); });
To power a search form on a public site, you might want to allow the user to specify some text but also limit the documents returned by a few criteria. This is a good use-case for a filtered query.

In this example, request
and response
are Express request and response objects.
var pageNum = request.param('page', 0); var perPage = request.param('per_page', 15); var userQuery = request.param('search_query'); var userId = request.session.userId; client.search({ index: 'posts', from: (pageNum - 1) * perPage, size: perPage, body: { filtered: { query: { match: { // match the query agains all of // the fields in the posts index _all: userQuery } }, filter: { // only return documents that are // public or owned by the current user or: [ { term: { privacy: "public" } }, { term: { owner: userId } } ] } } } }, function (error, response) { if (err) { // handle error return; } response.render('search_results', { results: response.hits.hits, page: pageNum, pages: Math.ceil(response.hists.total / perPage) }) });
You can find a lot more information about filters here