elastic-builder

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.

Elasticsearch compatibility

elastic-builder

elastic.js

bodybuilder

elastic-builder

Script.file

What's Included:

• Request Body Search
• Queries
• Aggregations
• Suggesters
• Search Template

Install

npm install elastic-builder --save

Usage

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

myClass

new

REPL

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"
    }
  }
}

Motivation

Elasticsearch only provides a low level client for making requests.

elastic.js

This library is a port of

elastic.js

API Reference

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

Recipes

The library has a few helper recipes:

• Missing query
• Random sort query
• Filter query

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 :smile:.

Changelog

releases

Examples

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.

Validation

elastic-builder

$ 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. (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)

Tests

Run unit tests:

npm test

Credits

elastic-builder

elastic.js

bodybuilder

License

MIT © Suhas Karanth