{"id":7021,"date":"2019-06-08T05:30:12","date_gmt":"2019-06-08T12:30:12","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=7021"},"modified":"2025-06-13T23:42:51","modified_gmt":"2025-06-14T06:42:51","slug":"n1ql-query-basic-order-of-execution","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/es\/n1ql-query-basic-order-of-execution\/","title":{"rendered":"N1QL (Consulta) Orden b\u00e1sico de ejecuci\u00f3n."},"content":{"rendered":"

La sintaxis de las consultas es limitada. Las consultas son ilimitadas.<\/p><\/blockquote>\n

Predicado pushdown<\/a>, agrupar por pushdown<\/a>, paginaci\u00f3n offset<\/a>, paginaci\u00f3n de teclas<\/a>, optimizaci\u00f3n de la uni\u00f3n<\/a>, optimizaci\u00f3n de la b\u00fasqueda<\/a>ya hemos hablado de todo. Aun as\u00ed, es importante entender el flujo de ejecuci\u00f3n de la consulta por defecto, sencillo, aunque lento.<\/p>\n

Lukas Eder ha explicado el orden real de ejecuci\u00f3n de SQL<\/a>. Dado que N1QL se inspira en SQL y lo sigue de cerca, esa explicaci\u00f3n tambi\u00e9n es v\u00e1lida aqu\u00ed. Recomiendo encarecidamente su lectura.<\/p>\n

Con N1QL, puede utilizar la explicaci\u00f3n visual para ver la estructura del plan y el flujo de datos. Esta es una manera f\u00e1cil de entender el orden de ejecuci\u00f3n antes de optimizar el rendimiento mediante la creaci\u00f3n de \u00edndices. He usado el ejemplo de recorrido incorporado y por lo tanto forzado el escaneo primario con la sugerencia USE INDEX.<\/p>\n

SELECT hotel.name,\r\n       hotel.country,\r\n       COUNT(hr.ratings.Service) csr, \r\n       RANK() OVER(ORDER BY COUNT(hr.ratings.Service) ), \r\n       DENSE_RANK() OVER(ORDER BY COUNT(hr.ratings.Service))\r\nFROM `travel-sample` AS hotel USE INDEX (def_primary)\r\n    INNER JOIN `travel-sample` AS airport ON (hotel.country = airport.country) \r\n        LEFT OUTER  UNNEST hotel.reviews AS hr\r\nWHERE hotel.type = \"hotel\"\r\n    AND airport.type = \"airport\"\r\n    AND hr.ratings.Service >= 4\r\nGROUP BY hotel.name,\r\n         hotel.country\r\nHAVING COUNT(hr.ratings.Service) > 0\r\nORDER BY COUNT(hr.ratings.Service)\r\nOFFSET 0\r\nLIMIT 10<\/pre>\n
Este es el plan visual.  La ejecuci\u00f3n del plan y el flujo de datos es ascendente. Comienza con el escaneo del \u00edndice primario y un escaneo del \u00edndice secundario, termina con el operador de paginaci\u00f3n LIMIT antes de devolver los resultados a la aplicaci\u00f3n.<\/p>\n
La explicaci\u00f3n visual es interactiva.  Puede hacer clic en cada operador para ver los par\u00e1metros establecidos para ese operador por el optimizador, como se muestra para algunos de los operadores a continuaci\u00f3n.<\/p>\n
\"\"<\/a><\/p>\n
\"\"<\/a>\"\"<\/a>\"\"<\/a><\/p>\n
El plan de consulta comienza con esto, l\u00f3gicamente.  Cada optimizaci\u00f3n por encima de esto es pensada por personas\/herramientas y seleccionada por el optimizador para construir una m\u00e1quina de flujo de datos para cada consulta.  El objetivo del optimizador es crear m\u00e1quinas que hagan el menor trabajo posible y, a\u00fan as\u00ed, ofrezcan los resultados correctos.<\/p><\/blockquote>","protected":false},"excerpt":{"rendered":"
Query syntax is limited. Queries are unlimited. Predicate pushdown, group by pushdown, offset pagination, keyset pagination, join optimization, search optimization, we’ve discussed it all. 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Queries are unlimited. Predicate pushdown, group by pushdown, offset pagination, keyset pagination, join optimization, search optimization, we’ve discussed it all. 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