What are the different types of search queries in Elasticsearch?

There are several different types of search queries that can be used in Elasticsearch. Here are some of the most common ones:

1. Full-text queries: Full-text queries search for matches in the full text of the indexed documents. Elasticsearch supports several types of full-text queries, such as match, multi-match, and common terms queries.

2. Term queries: Term queries search for exact matches of a single term in a specific field. Term queries can be used for fields that contain structured data, such as IDs, dates, or keywords.

3. Range queries: Range queries search for documents with values within a specified range. Range queries can be used for fields that contain numerical or date values.

4. Prefix queries: Prefix queries search for matches that begin with a specified prefix. Prefix queries can be used for fields that contain text data, such as names or titles.

5. Fuzzy queries: Fuzzy queries search for matches that are similar to a specified term, taking into account spelling errors, transpositions, and other variations.

6. Boolean queries: Boolean queries combine multiple query clauses using logical operators such as AND, OR, and NOT. Boolean queries can be used to construct complex search queries that combine multiple criteria.

7. Match phrase queries: Match phrase queries search for matches of a specific phrase in a specific field, taking into account word order and proximity.

8. Wildcard queries: Wildcard queries search for matches using a pattern that includes one or more wildcard characters, such as * or ?. Wildcard queries can be used for fields that contain text data, such as email addresses or URLs.

Overall, Elasticsearch provides a wide range of search query types that can be used to search across different data types and structures. By choosing the right query type for the job, you can ensure that you retrieve the most relevant search results for your needs.