What is a term query?
Term queryedit.
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..
What is no value specified for term query?
Briefly, this error occurs when a terms query is executed without specifying any value for the terms.
The terms query is used to match multiple values, and it requires at least one term to function correctly.
To resolve this issue, ensure that you provide at least one value for the terms query..
What is the difference between term and terms query?
1 Answer.
Difference between term vs terms query: Term query return documents that contain one or more exact term in a provided field.
The terms query is the same as the term query, except you can search for multiple values..
What is the limit of terms query in Elasticsearch?
By default, Elasticsearch limits the terms query to a maximum of 65,536 terms.
This includes terms fetched using terms lookup.
You can change this limit using the index..
What is the reason term query does not support array of values?
Briefly, this error occurs when you try to use an array of values in a term query in Elasticsearch, which is not supported.
Term queries are designed to match exact values, not multiple values.
To resolve this issue, you can use the 'terms' query instead of 'term' if you want to match multiple values..
- Briefly, this error occurs when a terms query is executed without specifying any value for the terms.
The terms query is used to match multiple values, and it requires at least one term to function correctly.
To resolve this issue, ensure that you provide at least one value for the terms query. - Elasticsearch, by default, limits the number of documents returned in a single query to prevent excessive resource consumption.
The default limit is set at 10,000 documents. - Term queryedit.
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.
