二.知识点总结 When the model query APIs don’t go far enough, you can fall back to writing raw SQL. go far enough:远远不够fall back to:求助 raw:原始的,未加工的 Django提供两种方式执行(performing)原始的SQL查询: (1) . Manager.raw():执行原始查询并返回模型实例 (2) . Executing custom SQL directly :直接执
SELECT procpid, START, now() - START AS lap, current_query FROM ( SELECT backendid, pg_stat_get_backend_pid (S.backendid) AS procpid, pg_stat_get_backend_activity_start (S.backendid) AS START, pg_stat_get_backend_activity (S.backendid) AS current_que
SELECT procpid, start, now() - start AS lap, current_query FROM (SELECT backendid, pg_stat_get_backend_pid(S.backendid) AS procpid, pg_stat_get_backend_activity_start(S.backendid) AS start, pg_stat_g
oracle 监控执行的sql语句 select * from v$sqlarea a where module='PL/SQL Developer' order by a.FIRST_LOAD_TIME desc select * from v$sqlarea a where module='PL/SQL Developer' order by a.FIRST_LOAD_TIME desc 监视oracle的执行sql情况: select q.sql_text from v$session s
1.SQL查询语句的执行顺序 (7) SELECT (8) DISTINCT <select_list> (1) FROM <left_table> (3) <join_type> JOIN <right_table> (2) ON <join_condition> (4) WHERE <where_condition> (5) GROUP BY <group_by_list> (6) HAVING <having_
一直想找一些关于SQL语句性能调试的权威参考,但是有参考未必就能够做好调试的工作.我深信实践中得到的经验是最珍贵的,书本知识只是一个引导.本篇来源于<Inside Microsoft SQL Server 2008>,有经验的高手尽管拍砖把. 这个部分将讲解一些性能分析工具,这些性能分许主要关注在执行计划. 缓存执行计划 SQL Server 2008提供了一些服务器对象来分析执行计划Sys.dm_exec_cached_plans: 包含缓存的执行计划,每个执行计划对应一行.Sys.