I am new to elastic search and I am confused between must and filter. I want to perform an and operation between my terms, so I did this
POST /xyz/_search
{ "query": { "bool": { "must": [ { "term": { "city": "city1" } }, { "term": { "saleType": "sale_type1" } } ] } } } which gave me the required results matching both the terms, and on using filter like this
POST /xyz/_search
{ "query": { "bool": { "must": [ { "term": { "city": "city1" } } ], "filter": { "term": { "saleType": "sale_type1" } } } } } I get the same result, so when should I use must and when should I use filter? What is the difference?
must means: Clauses that must match for the document to be included. 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. Yes you can use multiple filters inside must .
Think of the Query DSL as an AST (Abstract Syntax Tree) of queries, consisting of two types of clauses: Leaf query clauses. Leaf query clauses look for a particular value in a particular field, such as the match , term or range queries. These queries can be used by themselves.
Frequently used filters will be cached automatically by Elasticsearch, to speed up performance. Filter context is in effect whenever a query clause is passed to a filter parameter, such as the filter or must_not parameters in the bool query, the filter parameter in the constant_score query, or the filter aggregation.
must contributes to the score. In filter, the score of the query is ignored.
In both must and filter, the clause(query) must appear in matching documents. This is the reason for getting same results.
You may check this link
Score
The relevance score of each document is represented by a positive floating-point number called the
_score. The higher the_score, the more relevant the document.
A query clause generates a _score for each document.
To know how score is calculated, refer this link
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