Learning about Query DSL

Query DSL, as we discussed earlier, is a JSON-based DSL that empowers you to construct intricate search queries on the data present in the Elasticsearch cluster. It’s structured like an abstract syntax tree (AST) with two fundamental building blocks: leaf query clauses for pinpointing specific values within fields, and compound query clauses for orchestrating multiple queries using logical combinations or modifying their behavior. The context in which these clauses are used, either query or filter, significantly impacts their behavior. If we are to learn to write queries from scratch, we can investigate querying all the data in a particular index. For example, in MS SQL language, we say, Select * from employees, where employees is a table in the MS SQL database.

Here, in Console, we implement a similar logic to write a DSL query as follows:

GET kibana_sample_data_ecommerce/_search;

Here, kibana_sample_data_ecommerce is an index in Elasticsearch...