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Is it possible to combine query_string and bool query in filter query?
For Example -
{ "filter": { "query_string": { "query": "field:text" } }, "bool": { "should": { "match": { "field": "text" } } } } 
577
You need to use the bool query to combine different queries together. You can then choose whether each single query must match, should match (optional), or must not match.
Add multiple criteria by using the bool data type. Use the bool data type to combine two or more criteria. This way, you'll be certain the results match what you need. The boolean data type, hence bool , is the same logical AND (&&) operator in the computer programming language.
Boolean queries in Elasticsearch are a popular query type because of their versatility and ease of use. Boolean queries, or bool queries, find or match documents by using boolean clauses. For the vast majority of cases, the filtering clause will be used because it can be cached for faster search times.
Boolean, or a bool query in Elasticsearch, is a type of search that allows you to combine conditions using Boolean conditions. Elasticsearch will search the document in the specified index and return all the records matching the combination of Boolean clauses.
bool is meant to be used to club various queries together into a single bool query. You can use bool to combine multiple queries in this manner -
{ "query": { "bool": { "must": [ { "query_string": { "query": "field:text" } }, { "match": { "field": "text" } } ] } } } The must clause will make sure all the conditions are matched. You can also use should which will make sure either one of the query is matched in case of only should is used.
As bool is just another query type , you can also club bool queries inside bool queries as follows -
{ "query": { "bool": { "must": [ { "bool": { "must": [ { "query_string": { "query": "field:text" } }, { "match": { "field": "value" } } ] } }, { "match": { "field": "text" } } ] } } } If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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