利用维对象来优化数据仓库的高级技巧
发表于：2007-06-13来源：作者：点击数：
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在Oracle的数据仓库(OLAP)中，实体化视图(MVIEW)，查询重写(Query Rewrite)和维(Dimension)是非常重要的优化手段，对于前两者我不想在这儿重复讲了，主要来体验一下维的作用。要发挥维的作用，还是需要用到前面两者，下面是我设计的只有一个维表的最简单的例
在Oracle的数据仓库(OLAP)中，实体化视图(MVIEW)，查询重写(Query Rewrite)和维(Dimension)是非常重要的优化手段，对于前两者我不想在这儿重复讲了，主要来体验一下维的作用。要发挥维的作用，还是需要用到前面两者，下面是我设计的只有一个维表的最简单的例子。数据库用户除了connect, resource外， 还要给予Query Rewrite，Create Materialized View，Create Dimension权限。
1、创建一个维护表
CREATE TABLE TIME_DIM
AS
SELECT TO_CHAR(SYSDATE+ROWNUM,'YYYY') F_YEAR,
TO_CHAR(SYSDATE+ROWNUM,'YYYY-Q') F_QUATER,
TO_CHAR(SYSDATE+ROWNUM,'YYYY-MM') F_MONTH,
TRUNC(SYSDATE+ROWNUM,'DD') F_DAY
FROM DBA_OBJECTS
WHERE ROWNUM < 1000;
ALTER TABLE TIME_DIM MODIFY F_YEAR NOT NULL;
ALTER TABLE TIME_DIM MODIFY F_QUATER NOT NULL;
ALTER TABLE TIME_DIM MODIFY F_MONTH NOT NULL;
ALTER TABLE TIME_DIM MODIFY F_DAY NOT NULL;
ALTER TABLE TIME_DIM ADD PRIMARY KEY (F_DAY);
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2、创建一个事实表
CREATE TABLE FACT_SALES
AS
SELECT TRUNC(SYSDATE+ROWNUM,'DD') F_DAY,
TRUNC(DBMS_RANDOM.VALUE * 10000,2) M_AMOUNT1,
TRUNC(DBMS_RANDOM.VALUE * 10000,2) M_AMOUNT2
FROM DBA_OBJECTS
WHERE ROWNUM < 1000; -- Please execute the following insert multiple times
INSERT INTO FACT_SALES
SELECT F_DAY,
TRUNC(DBMS_RANDOM.VALUE * 10000,2) M_AMOUNT1,
TRUNC(DBMS_RANDOM.VALUE * 10000,2) M_AMOUNT2
FROM FACT_SALES
/ ALTER TABLE FACT_SALES MODIFY F_DAY NOT NULL;
ALTER TABLE FACT_SALES ADD FOREIGN KEY (F_DAY) REFERENCES TIME_DIM(F_DAY);
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3、将数据按月份进行汇总生成中间表
CREATE MATERIALIZED VIEW MV_FACT_SALES
ENABLE QUERY REWRITE
AS
SELECT D.F_MONTH,
SUM(F.M_AMOUNT1) M_AMOUNT1,
SUM(F.M_AMOUNT2) M_AMOUNT2
FROM TIME_DIM D, FACT_SALES F
WHERE D.F_DAY = F.F_DAY
GROUP BY D.F_MONTH
/
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4、分析表, 并在会话级启用查询重写
ANALYZE TABLE TIME_DIM COMPUTE STATISTICS;
ANALYZE TABLE FACT_SALES COMPUTE STATISTICS;
ANALYZE TABLE MV_FACT_SALES COMPUTE STATISTICS;
ALTER SESSION SET QUERY_REWRITE_ENABLED=TRUE;
ALTER SESSION SET QUERY_REWRITE_INTEGRITY=TRUSTED;
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5、先来看一下按季汇总的SQL语句的执行计划, 理论上, 可以从按月的汇总中进一步汇总生成, 但这时去执行的话, Oracle并不能这样执行
ASQL> SELECT D.F_QUATER,
2 SUM(F.M_AMOUNT1) M_AMMOUNT1,
3 SUM(F.M_AMOUNT2) M_AMMOUNT2
4 FROM TIME_DIM D, FACT_SALES F
5 WHERE D.F_DAY = F.F_DAY
6 GROUP BY D.F_QUATER
7 / Execute Plan
SQLPLAN COST CARD KBYTE PS PE
-------------------------------------------------------- ---- ------ ----- -- --
0 SELECT STATEMENT Optimizer=ALL_ROWS 626 12 1
1 0 HASH (GROUP BY) 626 12 1
2 1 HASH JOIN 609 287712 16858
3 2 TABLE ACCESS (FULL) OF TIME_DIM (TABLE) 4 999 13
4 2 TABLE ACCESS (FULL) OF FACT_SALES (TABLE) 602 287712 13206
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6、接下来来创建一个维对象, 用来告诉Oracle在TIME_DIM表的四个字段上存在的树状关系, 如果没有这个声明, Oracle会认为数据是不附合这个树状关系的
CREATE DIMENSION TIME_DIM
LEVEL YEAR IS (TIME_DIM.F_YEAR)
LEVEL QUATER IS (TIME_DIM.F_QUATER)
LEVEL MONTH IS (TIME_DIM.F_MONTH)
LEVEL DAY IS (TIME_DIM.F_DAY)
HIERARCHY Y_Q_M_D
(
DAY CHILD OF
MONTH CHILD OF
QUATER CHILD OF YEAR
)
HIERARCHY Y_M_D
(
DAY CHILD OF
MONTH CHILD OF YEAR
)
/
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7、建好维后, 重新跑按季度汇总或按年汇总的SQL, 看他们的执行计划有什么不同?
ASQL> SELECT D.F_QUATER,
2 SUM(F.M_AMOUNT1) M_AMMOUNT1,
3 SUM(F.M_AMOUNT2) M_AMMOUNT2
4 FROM TIME_DIM D, FACT_SALES F
5 WHERE D.F_DAY = F.F_DAY
6 GROUP BY D.F_QUATER
7 / Execute Plan
SQLPLAN COST CARD KBYTE PS PE
----------------------------------------------------------- ---- ---- ----- -- --
0 SELECT STATEMENT Optimizer=ALL_ROWS 10 12 1
1 0 HASH (GROUP BY) 10 12 1
2 1 HASH JOIN 9 289 17
3 2 MAT_VIEW REWRITE ACCESS (FULL) OF MV_FACT_... 3 34 2
4 2 VIEW OF 5 289 4
5 4 HASH (UNIQUE) 5 289 4
6 5 TABLE ACCESS (FULL) OF TIME_DIM (TABLE) 4 999 13 ASQL> SELECT /*+ all_rows */ D.F_YEAR,
2 SUM(F.M_AMOUNT1) M_AMMOUNT1,
3 SUM(F.M_AMOUNT2) M_AMMOUNT2
4 FROM TIME_DIM D, FACT_SALES F
5 WHERE D.F_DAY = F.F_DAY
6 GROUP BY D.F_YEAR
7 / Execute Plan
SQLPLAN COST CARD KBYTE PS PE
------------------------------------------------------------ ---- ---- ----- -- --
0 SELECT STATEMENT Optimizer=HINT: ALL_ROWS 10 4 0
1 0 HASH (GROUP BY) 10 4 0
2 1 HASH JOIN 9 97 6
3 2 MAT_VIEW REWRITE ACCESS (FULL) OF MV_FACT_S... 3 34 2
4 2 VIEW OF 5 97 1
5 4 HASH (UNIQUE) 5 97 1
6 5 TABLE ACCESS (FULL) OF TIME_DIM (TABLE) 4 999 11
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我不太会用语言表解说, 因此设计了这个实例来说明, 如果看不懂, 请多看几次吧!
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