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What is the use of keyword in Elasticsearch?

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Eleanor Gray

Published Mar 10, 2026

What is the use of keyword in Elasticsearch?

Keyword datatypeedit. A field to index structured content such as email addresses, hostnames, status codes, zip codes or tags. They are typically used for filtering (Find me all blog posts where status is published ), for sorting, and for aggregations. Keyword fields are only searchable by their exact value.

Accordingly, how do you search keywords in Elasticsearch?

Use the text field type if:

  1. The content is human-readable, such as an email body or product description.
  2. You plan to search the field for individual words or phrases, such as the brown fox jumped , using full text queries. Elasticsearch analyzes text fields to return the most relevant results for these queries.

Furthermore, how do you use terms in Elasticsearch? Returns documents that contain an exact term in a provided field. You can use the term query to find documents based on a precise value such as a price, a product ID, or a username. Avoid using the term query for text fields. By default, Elasticsearch changes the values of text fields as part of analysis.

Consequently, what is the difference between text and keyword in Elasticsearch?

The primary difference between the text datatype and the keyword datatype is that text fields are analyzed at the time of indexing, and keyword fields are not. What that means is, text fields are broken down into their individual terms at indexing to allow for partial matching, while keyword fields are indexed as is.

What is field keyword in Elasticsearch?

fields edit

raw field is a keyword version of the city field. The city field can be used for full text search. The city.raw field can be used for sorting and aggregations. Multi-fields do not change the original _source field. New multi-fields can be added to existing fields using the update mapping API.

What is the use of type keyword?

The type keyword simplifies annotating and reusing union types.

What is type keyword?

You can define an alias for a type using the type keyword: type PrimitiveArray = Array<string|number|boolean>; type MyNumber = number; Type aliases are exactly the same as their original types; they are simply alternative names.

Is type a python keyword?

Neither. It's not a reserved word (a list of which can be found at ), but it's generally a bad idea to shadow any builtin. It should be noted that the python built-in type is not shadowed in any way if you were to name a class attribute as type .

How do you do a case insensitive search in Elasticsearch?

1 Answer. By Default, the fields are case-insensitive because of the mapping elastic applied. Now, if you explicitly specify to index the field as keyword , then it will be case-sensitive search. Try below and see; it will not return any results.

How do I create an index in Elasticsearch?

The syntax for creating a new index in Elasticsearch cluster is:
  1. PUT /<index>
  2. curl -X PUT “localhost:9200”
  3. PUT /single_index.
  4. curl -X PUT "localhost:9200/single_index?
  5. {
  6. PUT /single_index_with_body.

What is full text search in database?

In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database. In a full-text search, a search engine examines all of the words in every stored document as it tries to match search criteria (for example, text specified by a user).

Should VS must Elasticsearch?

must means: The clause (query) must appear in matching documents. These clauses must match, like logical AND. should means: If these clauses match, they increase the _score ; otherwise, they have no effect. They are simply used to refine the relevance score for each document.

What is elastic search and how it works?

Elasticsearch is a distributed, open-source search and analytics engine built on Apache Lucene and developed in Java. At its core, you can think of Elasticsearch as a server that can process JSON requests and give you back JSON data.

How do you query in Elasticsearch?

The query contained three different clauses, so Elasticsearch will only return documents that match the criteria in all of them. These queries can be nested, so you can build up very complex queries by specifying a bool query as a must , must_not , should or filter query.

How do I capture a specific field in Elasticsearch?

Retrieve selected fields from a searchedit
  1. Use the fields option to extract the values of fields present in the index mapping.
  2. Use the _source option if you need to access the original data that was passed at index time.

How do I set Fielddata true in Elasticsearch?

Fielddata is disabled on text fields by default. Set `fielddata=true` on [`your_field_name`] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory.

How do I search multiple fields in elasticsearch?

One of the most common queries in elasticsearch is the match query, which works on a single field. And there's another query with the very same options that works also on multiple fields, called multi_match. These queries support text analysis and work really well.

How do I update maps in elasticsearch?

Examplesedit
  1. Example with single targetedit. The update mapping API requires an existing data stream or index.
  2. Add new properties to an existing object fieldedit.
  3. Add multi-fields to an existing fieldedit.
  4. Change supported mapping parameters for an existing fieldedit.
  5. Rename a fieldedit.

What is analyzed and not analyzed in Elasticsearch?

analyzed -> better for matching documents. not_analyzed -> less space on disk. not_analyzed -> less time for indexation. not_analyzed -> exact match for fields or using wildcards.

What are mappings in Elasticsearch?

Advertisements. Mapping is the outline of the documents stored in an index. It defines the data type like geo_point or string and format of the fields present in the documents and rules to control the mapping of dynamically added fields.

What is Elasticsearch type?

Basically, a type in Elasticsearch represented a class of similar documents and had a name such as customer or item . Lucene has no concept of document data types, so Elasticsearch would store the type name of each document in a metadata field of a document called _type.

What is dynamic mapping in Elasticsearch?

Dynamic mappingedit

The automatic detection and addition of new fields is called dynamic mapping. Custom rules to configure the mapping for dynamically added fields. Index templates allow you to configure the default mappings, settings and aliases for new indices, whether created automatically or explicitly.

Which is the correct structure of a query clause in Elasticsearch?

Leaf Query Clauses − These clauses are match, term or range, which look for a specific value in specific field. Compound Query Clauses − These queries are a combination of leaf query clauses and other compound queries to extract the desired information.

What is Elasticsearch analyzer?

Choosing the right analyzer for an Elasticsearch query can be as much art as science. Analyzers are the special algorithms that determine how a string field in a document is transformed into terms in an inverted index.

What is Elasticsearch inverted index?

Elasticsearch is a distributed document store. Elasticsearch uses a data structure called an inverted index that supports very fast full-text searches. An inverted index lists every unique word that appears in any document and identifies all of the documents each word occurs in.

How do I change the field type in Elasticsearch?

put updated mapping(where fields have types you need) to the new cluster. use reindex API to copy data from users cluster to users_reindex.

Change field type in Elasticsearch index

  1. remove current index.
  2. create a new index with updated mapping(where we change from integer to long )
  3. re-index data(put data to the index)

What is ignore<UNK>above Elasticsearch?

ignore_above edit

For arrays of strings, ignore_above will be applied for each array element separately and string elements longer than ignore_above will not be indexed or stored. All strings/array elements will still be present in the _source field, if the latter is enabled which is the default in Elasticsearch.

What is query term?

Query terms (keywords) are the words contained in a user query. Boolean operators or wildcards are not considered as query terms. They are operators used to link query terms.

What is a query in software?

A query is a request for data or information from a database table or combination of tables. This data may be generated as results returned by Structured Query Language (SQL) or as pictorials, graphs or complex results, e.g., trend analyses from data-mining tools.

What type of query finds documents which contain the exact term specified in the field specified?

Term Queryedit

What is Minimum_should_match?

minimum_should_match parameteredit

Indicates a fixed value regardless of the number of optional clauses. The number computed from the percentage is rounded down and used as the minimum. Negative percentage. -25% Indicates that this percent of the total number of optional clauses can be missing.

What is terms aggregation in Elasticsearch?

Terms aggregationedit. A multi-bucket value source based aggregation where buckets are dynamically built - one per unique value. By default, the terms aggregation will return the buckets for the top ten terms ordered by the doc_count . One can change this default behaviour by setting the size parameter.

What is Elasticsearch boost?

Boosting queryedit

Returns documents matching a positive query while reducing the relevance score of documents that also match a negative query. You can use the boosting query to demote certain documents without excluding them from the search results.

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What is the use of keyword in Elasticsearch?