Глава 4: Освоение расширенных методов запросов в Elasticsearch: раскрытие возможностей расширенного поиска
Определение запросов в Elasticsearch: использование возможностей DSL на основе JSON для комплексных запросов
# POST /student/_doc/1001 { "name":"zhangsan", "nickname":"zhangsan", "sex":"Male", "age":30 } # POST /student/_doc/1002 { "name":"lisi", "nickname":"lisi", "sex":"男", "age":20 } # POST /student/_doc/1003 { "name":"wangwu", "nickname":"wangwu", "sex":"女", "age":40 } # POST /student/_doc/1004 { "name":"zhangsan1", "nickname":"zhangsan1", "sex":"女", "age":50 } # POST /student/_doc/1005 { "name":"zhangsan2", "nickname":"zhangsan2", "sex":"女", "age":30 }
- Запрос всех документов
В Postman отправьте GET-запрос на сервер ES: http://127.0.0.1:9200/student/_search
{ "query": { "match_all": {} } } In the above example, "query" represents a query object that can contain different query properties. "match_all" is a query type, such as match_all (which represents querying all documents), match, term, range, etc. {query conditions} will vary based on the query type.
Ответ сервера следующий:
{ "took": 1116, // Query execution time in milliseconds "timed_out": false, // Indicates whether the query timed out "_shards": { "total": 1, // Total number of shards "successful": 1, // Number of successful shards "skipped": 0, // Number of skipped shards "failed": 0 // Number of failed shards }, "hits": { "total": { "value": 3, // Total number of documents matching the search criteria "relation": "eq" // Calculation rule for the total count (eq for exact, gte for an approximation)…