如何在 Oracle 中缓存查询结果?


问题陈述

您希望提高常用查询的性能。

解决方案

我们必须使用 Oracle 的结果缓存来存储常用 SQL 的查询结果,以便在将来执行相同查询时可以快速检索它们。

结果缓存是 Oracle 11g 的新增功能,它允许我们将常用查询的结果存储在内存中,以便快速轻松地检索。

示例

SELECT /*+ result_cache */      e.class_id,      min_fees,      max_fees FROM students e ,jobs j WHERE e.class_id = j.class_id GROUP BY e.class_id, min_fees, max_fees;

为了演示如何使用它,我们将检查上述 sql 的 explain_plan。

示例

EXPLAIN PLAN FOR SELECT /*+ result_cache */      e.class_id,      min_fees,      max_fees FROM students e ,jobs j WHERE e.class_id = j.class_id GROUP BY e.class_id, min_fees, max_fees; SELECT * FROM table(DBMS_XPLAN.DISPLAY (FORMAT=>'ALL'));

输出

--------------------------------------------------------------------------------------------------- | Id  | Operation            | Name                       | Rows  | Bytes | Cost (%CPU)| Time     | --------------------------------------------------------------------------------------------------- |   0 | SELECT STATEMENT     |                            |    19 |   475 |     4  (25)| 00:00:01 | |   1 |  RESULT CACHE        | a1pfq5gpbag4wgj0zth2xasdj1 |    19 |   475 |     4  (25)| 00:00:01 | |   2 |   HASH GROUP BY      |                            |    19 |   475 |     4  (25)| 00:00:01 | |   3 |    NESTED LOOPS SEMI |                            |    19 |   475 |     3   (0)| 00:00:01 | |   4 |     TABLE ACCESS FULL| JOBS                       |    19 |   304 |     3   (0)| 00:00:01 | |*  5 |     INDEX RANGE SCAN | stu_JOB_IX                 |   107 |   963 |     0   (0)| 00:00:01 | ---------------------------------------------------------------------------------------------------

然后,我们将查询 V$RESULT_CACHE_OBJECTS 视图,通过查看 explain 计划中的缓存 ID 值来验证查询的结果是否存储在结果缓存中。

示例

SELECT ID,        type,        status,        creation_timestamp,        column_count AS cols,        row_count AS "rows"   FROM V$RESULT_CACHE_OBJECTS  WHERE CACHE_ID = 'a1pfq5gpbag4wgj0zth2xasdj1';

示例

1947    Result  Published   11/NOV/20   3   19

结果缓存提示在添加到 SQL 时,将覆盖任何数据库、表或会话级别的结果缓存设置。在将提示添加到 SQL 之前,您需要验证数据库上结果缓存的配置。

使用结果缓存可以显着提高查询时间,因为首先会在结果缓存中检查查询结果,如果结果存在,则只需从内存中提取它们,并且不会执行查询。结果缓存最适合用于产生相同结果的频繁执行的查询。

为了显示性能改进,上述 SQL 运行了两次,第一次没有提示,第二次有提示。

示例

SELECT /*+ no_result_cache */      e.class_id,      min_fees,      max_fees FROM students e ,jobs j WHERE e.class_id = j.class_id GROUP BY e.class_id, min_fees, max_fees;

输出

19 rows selected. Elapsed: 00:00:17.20

示例

SELECT /*+ result_cache */      e.class_id,      min_fees,      max_fees FROM students e ,jobs j WHERE e.class_id = j.class_id GROUP BY e.class_id, min_fees, max_fees;

输出

19 rows selected. Elapsed: 00:00:01.03

用于上述问题的数据库

示例

DROP TABLE students;
COMMIT;

CREATE TABLE students
    ( student_id     NUMBER(6)
    , first_name     VARCHAR2(20)
    , last_name      VARCHAR2(25)
    , email          VARCHAR2(40)
    , phone_number   VARCHAR2(20)
    , join_date      DATE
    , class_id       VARCHAR2(20)  
    , fees           NUMBER(8,2)
    , professor_id   NUMBER(6)
    , department_id  NUMBER(4)
    ) ;

示例

CREATE UNIQUE INDEX stu_id_pk ON students (student_id) ;
INSERT INTO students VALUES (100,'SMITH','JAMES','[email protected]','111.111.1245',TO_DATE('17-06-2003','DD-MM-YYYY'),'INS_CHAIRMAN',24000,NULL,NULL);
INSERT INTO students VALUES (101,'JOHNSON','JOHN','[email protected]','111.111.1246',TO_DATE('21-09-2005','DD-MM-YYYY'),'INS_VP',17000,100,90);
INSERT INTO students VALUES (102,'WILLIAMS','ROBERT','[email protected]','111.111.1247',TO_DATE('13-01-2001','DD-MM-YYYY'),'INS_VP',17000,100,90);
INSERT INTO students VALUES (103,'BROWN','MICHAEL','[email protected]','111.111.1248',TO_DATE('03-01-2006','DD-MM-YYYY'),'INS_STAFF',9000,102,60);
INSERT INTO students VALUES (104,'JONES','WILLIAM','[email protected]','111.111.1249',TO_DATE('21-05-2007','DD-MM-YYYY'),'INS_STAFF',6000,103,60);
INSERT INTO students VALUES (105,'MILLER','DAVID','[email protected]','111.111.1250',TO_DATE('25-06-2005','DD-MM-YYYY'),'INS_STAFF',4800,103,60);
INSERT INTO students VALUES (106,'DAVIS','RICHARD','[email protected]','111.111.1251',TO_DATE('05-02-2006','DD-MM-YYYY'),'INS_STAFF',4800,103,60);
INSERT INTO students VALUES (107,'GARCIA','CHARLES','[email protected]','111.111.1252',TO_DATE('07-02-2007','DD-MM-YYYY'),'INS_STAFF',4200,103,60);
INSERT INTO students VALUES (108,'RODRIGUEZ','JOSEPH','[email protected]','111.111.1253',TO_DATE('17-08-2002','DD-MM-YYYY'),'CL_PHY',12008,101,100);
INSERT INTO students VALUES (109,'WILSON','THOMAS','[email protected]','111.111.1254',TO_DATE('16-08-2002','DD-MM-YYYY'),'CL_MATH',9000,108,100);
INSERT INTO students VALUES (110,'MARTINEZ','CHRISTOPHER','[email protected]','111.111.1255',TO_DATE('28-09-2005','DD-MM-YYYY'),'CL_MATH',8200,108,100);
INSERT INTO students VALUES (111,'ANDERSON','DANIEL','[email protected]','111.111.1256',TO_DATE('30-09-2005','DD-MM-YYYY'),'CL_MATH',7700,108,100);
INSERT INTO students VALUES (112,'TAYLOR','PAUL','[email protected]','111.111.1257',TO_DATE('07-03-2006','DD-MM-YYYY'),'CL_MATH',7800,108,100);
INSERT INTO students VALUES (113,'THOMAS','MARK','[email protected]','111.111.1258',TO_DATE('07-12-2007','DD-MM-YYYY'),'CL_MATH',6900,108,100);

COMMIT;

更新于: 2020-12-04

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