A Node.js implementation of the Elasticsearch DSL for use with the official elasticsearch javascript client with builder syntax.
Check out the API reference documentation.
Relevant blog post: https://blog.logrocket.com/elasticsearch-query-body-builder-node-js/
elastic-builder includes TypeScript definition for superior development experience.
elastic-builder was built for 5.x query DSL. However, the library should be
usable with 2.x as well. For older versions of the DSL, you can try
elastic.js or bodybuilder
elastic-builder is also compatible with elasticsearch 6.0(alpha) for the most
part. However, there are some breaking changes which
have been called out in the docs(ex: Script.file.
What's Included:
npm install elastic-builder --save
const esb = require('elastic-builder'); // the builder
const requestBody = esb.requestBodySearch()
.query(esb.matchQuery('message', 'this is a test'));
// OR
const requestBody = new esb.RequestBodySearch().query(
new esb.MatchQuery('message', 'this is a test')
);
requestBody.toJSON(); // or print to console - esb.prettyPrint(requestBody)
{
"query": {
"match": {
"message": "this is a test"
}
}
}For each class, MyClass, a utility function myClass has been provided which
constructs the object for us without the need for new keyword.
Try it out on the command line using the node REPL:
# Start the repl
node ./node_modules/elastic-builder/repl.js
# The builder is available in the context variable esb
elastic-builder > esb.prettyPrint(
... esb.requestBodySearch()
... .query(esb.matchQuery('message', 'this is a test'))
... );
{
"query": {
"match": {
"message": "this is a test"
}
}
}
Elasticsearch only provides a low level client for making requests.
elastic.js was a relatively popular library for building the
request search body. However, this project is not being maintained nor is the
fork. There were several changes in
the 5.0 release which make the older libraries unusable.
This library is a port of elastic.js to es6 with elasticsearch 5.x
compatibility.
API reference can be accessed here - https://elastic-builder.js.org/docs. The docs include examples ported from the official elasticsearch reference.
API documentation was generated using documentation.js. It is being hosted with help from this awesome project - https://github.com/js-org/dns.js.org
The library has a few helper recipes:
const qry = esb.cookMissingQuery('user');
qry.toJSON();
{
"bool": {
"must_not": {
"exists": { "field": "user" }
}
}
}Check out the reference docs for more examples.
If you have any recipes, please do share or better yet, create a pull request 😄.
Usage with official elasticsearch client:
'use strict';
const elasticsearch = require('elasticsearch');
const esb = require('elastic-builder');
const client = new elasticsearch.Client({
host: 'localhost:9200',
log: 'trace'
});
const requestBody = esb
.requestBodySearch()
.query(esb.matchQuery('body', 'elasticsearch'));
client
.search({
index: 'twitter',
type: 'tweets',
body: requestBody.toJSON()
})
.then(resp => {
const hits = resp.hits.hits;
})
.catch(err => {
console.trace(err.message);
});// Bool query
const requestBody = esb.requestBodySearch().query(
esb.boolQuery()
.must(esb.matchQuery('last_name', 'smith'))
.filter(esb.rangeQuery('age').gt(30))
);
requestBody.toJSON();
{
"query": {
"bool": {
"must": {
"match": { "last_name": "smith" }
},
"filter": {
"range": { "age": { "gt": 30 } }
}
}
}
}
// Multi Match Query
const requestBody = esb.requestBodySearch().query(
esb.multiMatchQuery(['title', 'body'], 'Quick brown fox')
.type('best_fields')
.tieBreaker(0.3)
.minimumShouldMatch('30%')
);
requestBody.toJSON();
{
"multi_match": {
"query": "Quick brown fox",
"type": "best_fields",
"fields": ["title", "body"],
"tie_breaker": 0.3,
"minimum_should_match": "30%"
}
}
// Aggregation
const requestBody = esb.requestBodySearch()
.size(0)
.agg(esb.termsAggregation('popular_colors', 'color'));
requestBody.toJSON();
{
"size": 0,
"aggs": {
"popular_colors": {
"terms": { "field": "color" }
}
}
}
// Nested Aggregation
const requestBody = esb.requestBodySearch()
.size(0)
.agg(
esb.termsAggregation('colors', 'color')
.agg(esb.avgAggregation('avg_price', 'price'))
.agg(esb.termsAggregation('make', 'make'))
);
requestBody.toJSON();
{
"size": 0,
"aggs": {
"colors": {
"terms": { "field": "color" },
"aggs": {
"avg_price": {
"avg": { "field": "price" }
},
"make": {
"terms": { "field": "make" }
}
}
}
}
}
// If you prefer using the `new` keyword
const agg = new esb.TermsAggregation('countries', 'artist.country')
.order('rock>playback_stats.avg', 'desc')
.agg(
new esb.FilterAggregation('rock', new esb.TermQuery('genre', 'rock')).agg(
new esb.StatsAggregation('playback_stats', 'play_count')
)
);
agg.toJSON();
{
"countries": {
"terms": {
"field": "artist.country",
"order": { "rock>playback_stats.avg": "desc" }
},
"aggs": {
"rock": {
"filter": {
"term": { "genre": "rock" }
},
"aggs": {
"playback_stats": {
"stats": { "field": "play_count" }
}
}
}
}
}
}
// Sort
const requestBody = esb.requestBodySearch()
.query(esb.boolQuery().filter(esb.termQuery('message', 'test')))
.sort(esb.sort('timestamp', 'desc'))
.sorts([
esb.sort('channel', 'desc'),
esb.sort('categories', 'desc'),
// The order defaults to desc when sorting on the _score,
// and defaults to asc when sorting on anything else.
esb.sort('content'),
esb.sort('price').order('desc').mode('avg')
]);
requestBody.toJSON();
{
"query": {
"bool": {
"filter": {
"term": { "message": "test" }
}
}
},
"sort": [
{ "timestamp": { "order": "desc" } },
{ "channel": { "order": "desc" } },
{ "categories": { "order": "desc" } },
"content",
{ "price": { "order": "desc", "mode": "avg" } }
]
}
// From / size
const requestBody = esb.requestBodySearch()
.query(esb.matchAllQuery())
.size(5)
.from(10);
requestBody.toJSON();
{
"query": { "match_all": {} },
"size": 5,
"from": 10
}For more examples, check out the reference docs.
elastic-builder provides lightweight validation where ever possible:
$ node ./node_modules/elastic-builder/repl.js
elastic-builder > esb.multiMatchQuery().field('title').field('body').query('Quick brown fox').type('bwst_fields')
See https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html
Got 'type' - bwst_fields
Error: The 'type' parameter should belong to Set {
'best_fields',
'most_fields',
'cross_fields',
'phrase',
'phrase_prefix' }
at MultiMatchQuery.type (E:\Projects\repos\elastic-builder\lib\queries\full-text-queries\multi-match-query.js:134:23)
at repl:1:77
at ContextifyScript.Script.runInContext (vm.js:35:29)
at REPLServer.defaultEval (repl.js:342:29)
at bound (domain.js:280:14)
at REPLServer.runBound [as eval] (domain.js:293:12)
at REPLServer.<anonymous> (repl.js:538:10)
at emitOne (events.js:96:13)
at REPLServer.emit (events.js:188:7)
at REPLServer.Interface._onLine (readline.js:239:10)
Run unit tests:
npm test
elastic-builder is heavily inspired by elastic.js and the
fork by Erwan Pigneul.
bodybuilder for documentation style, build setup, demo page.
MIT © Suhas Karanth