Full Text Queries | Query Dsl | Elasticsearch Tutorial

Introduction

Full-Text Queries in Elasticsearch are designed to run queries against text fields. They are capable of performing complex searches, taking into account the nuances of text analysis. In this tutorial, we will cover the different types of full-text queries and their usage with examples.

Match Query

The match query is the most basic type of full-text query. It analyzes the provided query string before performing the search.

Example: A basic match query searching for "Elasticsearch tutorial".

POST /my_index/_search { "query": { "match": { "content": "Elasticsearch tutorial" } } }

{ "hits": { "total": 1, "max_score": 1.0, "hits": [ { "_index": "my_index", "_type": "_doc", "_id": "1", "_score": 1.0, "_source": { "content": "This is an Elasticsearch tutorial." } } ] } }

Match Phrase Query

The match_phrase query is used to search for exact phrases. It ensures that the terms appear in the exact order specified.

Example: A match phrase query searching for the exact phrase "quick brown fox".

POST /my_index/_search { "query": { "match_phrase": { "content": "quick brown fox" } } }

{ "hits": { "total": 1, "max_score": 1.0, "hits": [ { "_index": "my_index", "_type": "_doc", "_id": "1", "_score": 1.0, "_source": { "content": "The quick brown fox jumps over the lazy dog." } } ] } }

Multi-Match Query

The multi_match query allows you to search for a text across multiple fields. This is useful when you have several fields that could contain the search term.

Example: A multi-match query searching for "Elasticsearch" across "title" and "content" fields.

POST /my_index/_search { "query": { "multi_match": { "query": "Elasticsearch", "fields": ["title", "content"] } } }

{ "hits": { "total": 2, "max_score": 1.0, "hits": [ { "_index": "my_index", "_type": "_doc", "_id": "1", "_score": 1.0, "_source": { "title": "Introduction to Elasticsearch", "content": "This is an Elasticsearch tutorial." } }, { "_index": "my_index", "_type": "_doc", "_id": "2", "_score": 0.8, "_source": { "title": "Advanced Elasticsearch", "content": "Elasticsearch concepts and techniques." } } ] } }

Query String Query

The query_string query provides a way to query a full query syntax, allowing for complex queries including wildcard characters, logical operators, and more.

Example: A query string query searching for documents that contain "Elasticsearch" and "tutorial".

POST /my_index/_search { "query": { "query_string": { "query": "Elasticsearch AND tutorial" } } }

{ "hits": { "total": 1, "max_score": 1.0, "hits": [ { "_index": "my_index", "_type": "_doc", "_id": "1", "_score": 1.0, "_source": { "content": "This is an Elasticsearch tutorial." } } ] } }

Conclusion

Full-text queries in Elasticsearch provide a powerful way to search and analyze text data. Whether you need to find exact phrases, search across multiple fields, or perform complex queries, Elasticsearch has the tools you need. By understanding and utilizing these full-text queries, you can harness the full power of Elasticsearch for your text search needs.