[20120808]學習物化檢視.txt
[20120808]學習物化檢視.txt
從來沒有使用過物化檢視,今天學習看看,主要是練習,我的測試基本按照如下連結的例子:
--使用不到2秒!
1.建立物化檢視:
--修改一條記錄,直接查詢物化檢視mv1,結果不再正確.
從來沒有使用過物化檢視,今天學習看看,主要是練習,我的測試基本按照如下連結的例子:
SQL> select * from v$version ;
BANNER
--------------------------------------------------------------------------------
Oracle Database 11g Enterprise Edition Release 11.2.0.1.0 - 64bit Production
PL/SQL Release 11.2.0.1.0 - Production
CORE 11.2.0.1.0 Production
TNS for Linux: Version 11.2.0.1.0 - Production
NLSRTL Version 11.2.0.1.0 - Production
create table sales as select * from sh.sales;
insert into sales select * from sales;
insert into sales select * from sales;
insert into sales select * from sales;
--建立sales表,大小280M.
SQL> desc sales
Name Null? Type
--------------- -------- -------------
PROD_ID NOT NULL NUMBER
CUST_ID NOT NULL NUMBER
TIME_ID NOT NULL DATE
CHANNEL_ID NOT NULL NUMBER
PROMO_ID NOT NULL NUMBER
QUANTITY_SOLD NOT NULL NUMBER(10,2)
AMOUNT_SOLD NOT NULL NUMBER(10,2)
SQL> select count(*) from sales;
COUNT(*)
----------
7350744
SQL> select bytes/1024/1024 as mb from user_segments where segment_name='SALES';
MB
----------
280
SQL> set timing on
SQL> select channel_id,sum(amount_sold) from sales group by channel_id;
CHANNEL_ID SUM(AMOUNT_SOLD)
---------- ----------------
9 2219410.08
2 210770739
4 109654416
3 463002085
Elapsed: 00:00:01.78
--使用不到2秒!
1.建立物化檢視:
create materialized view mv1 enable query rewrite as select channel_id,sum(amount_sold) from sales group by channel_id;
SQL> create materialized view mv1 enable query rewrite as select channel_id,sum(amount_sold) from sales group by channel_id;
Materialized view created.
Elapsed: 00:00:02.64
SQL> select channel_id,sum(amount_sold) from sales group by channel_id;
CHANNEL_ID SUM(AMOUNT_SOLD)
---------- ----------------
9 2219410.08
2 210770739
4 109654416
3 463002085
Elapsed: 00:00:00.01
--執行很快!
SQL> @dpc
PLAN_TABLE_OUTPUT
---------------------------------------------------------------------------------------
SQL_ID 9wwp2am6pm4dz, child number 1
-------------------------------------
select channel_id,sum(amount_sold) from sales group by channel_id
Plan hash value: 2958490228
-------------------------------------------------------------------
| Id | Operation | Name | E-Rows | Cost (%CPU)|
-------------------------------------------------------------------
| 0 | SELECT STATEMENT | | | 3 (100)|
| 1 | MAT_VIEW REWRITE ACCESS FULL| MV1 | 4 | 3 (0)|
-------------------------------------------------------------------
--可以發現訪問的是物化檢視mv1.
SQL> update sales set amount_sold=amount_sold+1 where rownum<2;
1 row updated.
SQL> commit ;
Commit complete.
--修改一條記錄,直接查詢物化檢視mv1,結果不再正確.
SQL> select * from mv1;
CHANNEL_ID SUM(AMOUNT_SOLD)
---------- ----------------
9 2219410.08
2 210770739
4 109654416
3 463002085
Elapsed: 00:00:00.00
SQL> select mview_name,staleness from user_mviews;
MVIEW_NAME STALENESS
------------------------------ -------------------
MV1 NEEDS_COMPILE
Elapsed: 00:00:00.06
SQL> select channel_id,sum(amount_sold) from sales group by channel_id;
CHANNEL_ID SUM(AMOUNT_SOLD)
---------- ----------------
3 463002086
9 2219410.08
2 210770739
4 109654416
Elapsed: 00:00:01.71
--可以發現執行時間變長!
SQL> @dpc
PLAN_TABLE_OUTPUT
--------------------------------------------------------------------------------------
SQL_ID 9wwp2am6pm4dz, child number 2
-------------------------------------
select channel_id,sum(amount_sold) from sales group by channel_id
Plan hash value: 2895541888
-------------------------------------------------------------------------------------
| Id | Operation | Name | E-Rows | Cost (%CPU)| OMem | 1Mem | Used-Mem |
-------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | | 10007 (100)| | | |
| 1 | HASH GROUP BY | | 8154K| 10007 (4)| 948K| 948K| 4874K (0)|
| 2 | TABLE ACCESS FULL| SALES | 8154K| 9741 (1)| | | |
-------------------------------------------------------------------------------------
--可以發現執行計劃變為了full.
--為了能再次使用物化檢視,必須重新整理物化檢視.
exec dbms_mview.refresh(list=>'MV1',method=>'C');
SQL> exec dbms_mview.refresh(list=>'MV1',method=>'C');
PL/SQL procedure successfully completed.
Elapsed: 00:00:02.57
SQL> select channel_id,sum(amount_sold) from sales group by channel_id;
CHANNEL_ID SUM(AMOUNT_SOLD)
---------- ----------------
3 463002086
9 2219410.08
2 210770739
4 109654416
Elapsed: 00:00:00.01
SQL> @dpc
PLAN_TABLE_OUTPUT
-------------------------------------
SQL_ID 9wwp2am6pm4dz, child number 1
-------------------------------------
select channel_id,sum(amount_sold) from sales group by channel_id
Plan hash value: 2958490228
-------------------------------------------------------------------
| Id | Operation | Name | E-Rows | Cost (%CPU)|
-------------------------------------------------------------------
| 0 | SELECT STATEMENT | | | 3 (100)|
| 1 | MAT_VIEW REWRITE ACCESS FULL| MV1 | 4 | 3 (0)|
-------------------------------------------------------------------
Note
-----
- dynamic sampling used for this statement (level=2)
- Warning: basic plan statistics not available. These are only collected when:
* hint 'gather_plan_statistics' is used for the statement or
* parameter 'statistics_level' is set to 'ALL', at session or system level
20 rows selected.
Elapsed: 00:00:00.02
--又可以使用物化檢視mv1.
SQL> select mview_name,staleness from user_mviews;
MVIEW_NAME STALENESS
------------------------------ -------------------
MV1 FRESH
Elapsed: 00:00:00.02
--為了一直使用物化檢視,完全重新整理時間太長(如果表很大),必須改變重新整理方式.
One comfortable method to get a fast refreshable materialized view is the usage of the package DBMS_ADVISOR:
--使用dbms_advisor包可以獲得一些建議方法.
variable t varchar2(50)
begin
dbms_advisor.tune_mview(task_name=>:t,
mv_create_stmt=>'create materialized view mv1'
|| ' refresh fast as'
|| ' select channel_id,sum(amount_sold)'
|| ' from sales group by channel_id');
end;
set long 5000
SQL> column statement format a140
SQL> select script_type,statement from user_tune_mview where task_name=:t order by action_id;
SCRIPT_TYPE STATEMENT
-------------- --------------------------------------------------------------------------------------------------------------------------------------------
IMPLEMENTATION CREATE MATERIALIZED VIEW LOG ON "SCOTT"."SALES" WITH ROWID, SEQUENCE ("CHANNEL_ID","AMOUNT_SOLD") INCLUDING NEW VALUES
IMPLEMENTATION ALTER MATERIALIZED VIEW LOG FORCE ON "SCOTT"."SALES" ADD ROWID, SEQUENCE ("CHANNEL_ID","AMOUNT_SOLD") INCLUDING NEW VALUES
IMPLEMENTATION CREATE MATERIALIZED VIEW SCOTT.MV1 REFRESH FAST WITH ROWID DISABLE QUERY REWRITE AS SELECT SCOTT.SALES.CHANNEL_ID C1, SUM("SCOTT"."SALES".
"AMOUNT_SOLD") M1, COUNT("SCOTT"."SALES"."AMOUNT_SOLD") M2, COUNT(*) M3 FROM SCOTT.SALES GROUP BY SCOTT.SALES.CHANNEL_ID
UNDO DROP MATERIALIZED VIEW SCOTT.MV1
--可以發現建議要這樣建立MATERIALIZED VIEW LOG.
exec dbms_advisor.delete_task(:t);
SQL> select script_type,statement from user_tune_mview where task_name=:t order by action_id;
no rows selected
--執行上述語句,修改以下程式碼.系統會建議一張 MLOG$_SALES記錄變化.
CREATE MATERIALIZED VIEW LOG ON "SCOTT"."SALES" WITH ROWID, SEQUENCE ("CHANNEL_ID","AMOUNT_SOLD") INCLUDING NEW VALUES;
--alter materialized view log force on "scott"."sales" add rowid, sequence ("channel_id","amount_sold") including new values;
drop MATERIALIZED VIEW SCOTT.MV1;
CREATE MATERIALIZED VIEW SCOTT.MV1 REFRESH FAST WITH ROWID enable QUERY REWRITE AS SELECT SCOTT.SALES.CHANNEL_ID C1, SUM("SCOTT"."SALES".
"AMOUNT_SOLD") M1, COUNT("SCOTT"."SALES"."AMOUNT_SOLD") M2, COUNT(*) M3 FROM SCOTT.SALES GROUP BY SCOTT.SALES.CHANNEL_ID;
set timing off
update sales set amount_sold=amount_sold*1 where rownum<2;
--開啟另外的回話
SQL2> select * from MLOG$_SALES;
no rows selected
commit;
SQL2> select count(*) from MLOG$_SALES;
COUNT(*)
----------
2
--發現log存在記錄!
select mview_name,staleness from user_mviews;
SQL> select mview_name,staleness from user_mviews;
MVIEW_NAME STALENESS
------------------------------ -------------------
MV1 NEEDS_COMPILE
set timing on
exec dbms_mview.refresh('MV1','F');
SQL> exec dbms_mview.refresh('MV1','F');
PL/SQL procedure successfully completed.
Elapsed: 00:00:00.10
--重新整理很快!'C'=>表示完全重新整理,'F'=>表示快速重新整理,也就是增量重新整理
--但是這樣系統每次都要手工重新整理,可以使用job來更新,也可以使用如下命令,這樣每分鐘更新一次.
alter materialized view mv1 refresh start with sysdate next sysdate + interval '1' minute;
--alter session set nls_date_format='yyyy-mm-dd hh24:mi:ss';
select MVIEW_NAME,LAST_REFRESH_TYPE,LAST_REFRESH_DATE from user_mviews;
SQL> select MVIEW_NAME,LAST_REFRESH_TYPE,LAST_REFRESH_DATE from user_mviews;
MVIEW_NAME LAST_REF LAST_REFRESH_DATE
------------------------------ -------- -------------------
MV1 FAST 2012-08-09 11:29:02
--等1分鐘看!
select MVIEW_NAME,LAST_REFRESH_TYPE,LAST_REFRESH_DATE from user_mviews;
SQL> select MVIEW_NAME,LAST_REFRESH_TYPE,LAST_REFRESH_DATE from user_mviews;
MVIEW_NAME LAST_REF LAST_REFRESH_DATE
------------------------------ -------- -------------------
MV1 FAST 2012-08-09 11:30:02
--也可以採用提交的時候重新整理,這樣如果表DML很多,對效能有一些影響.要仔細權衡.
drop MATERIALIZED VIEW SCOTT.MV1;
CREATE MATERIALIZED VIEW SCOTT.MV1
REFRESH FAST on commit
WITH ROWID
enable QUERY REWRITE AS
SELECT SCOTT.SALES.CHANNEL_ID C1,
SUM("SCOTT"."SALES"."AMOUNT_SOLD") M1,
COUNT("SCOTT"."SALES"."AMOUNT_SOLD") M2,
COUNT(*) M3
FROM SCOTT.SALES
GROUP BY SCOTT.SALES.CHANNEL_ID;
select MVIEW_NAME,LAST_REFRESH_TYPE,LAST_REFRESH_DATE from user_mviews;
SQL> select MVIEW_NAME,LAST_REFRESH_TYPE,LAST_REFRESH_DATE from user_mviews;
MVIEW_NAME LAST_REF LAST_REFRESH_DATE
------------------------------ -------- -------------------
MV1 COMPLETE 2012-08-09 11:36:31
Elapsed: 00:00:00.00
update sales set amount_sold=amount_sold*1 where rownum<2;
commit;
select MVIEW_NAME,LAST_REFRESH_TYPE,LAST_REFRESH_DATE from user_mviews;
SQL> select MVIEW_NAME,LAST_REFRESH_TYPE,LAST_REFRESH_DATE from user_mviews;
MVIEW_NAME LAST_REF LAST_REFRESH_DATE
------------------------------ -------- -------------------
MV1 FAST 2012-08-09 11:36:59
SQL> select channel_id,sum(amount_sold) from sales group by channel_id;
CHANNEL_ID SUM(AMOUNT_SOLD)
---------- ----------------
2 210770739
4 109654416
3 463002086
9 2219410.08
Elapsed: 00:00:00.00
SQL> @dpc
PLAN_TABLE_OUTPUT
------------------------------------
SQL_ID 9wwp2am6pm4dz, child number 1
-------------------------------------
select channel_id,sum(amount_sold) from sales group by channel_id
Plan hash value: 2958490228
-------------------------------------------------------------------
| Id | Operation | Name | E-Rows | Cost (%CPU)|
-------------------------------------------------------------------
| 0 | SELECT STATEMENT | | | 3 (100)|
| 1 | MAT_VIEW REWRITE ACCESS FULL| MV1 | 4 | 3 (0)|
-------------------------------------------------------------------
Note
-----
- dynamic sampling used for this statement (level=2)
- Warning: basic plan statistics not available. These are only collected when:
* hint 'gather_plan_statistics' is used for the statement or
* parameter 'statistics_level' is set to 'ALL', at session or system level
20 rows selected.
Elapsed: 00:00:00.02
來自 “ ITPUB部落格 ” ,連結:http://blog.itpub.net/267265/viewspace-740487/,如需轉載,請註明出處,否則將追究法律責任。
相關文章
- 物化檢視-學習篇
- 物化檢視學習筆記筆記
- [20120809]學習物化檢視(補充).txt
- 物化檢視妙用__表同步使用物化檢視方法
- 【物化檢視】幾種物化檢視日誌分析
- 【物化檢視】根據物化檢視日誌快速重新整理物化檢視的過程
- oracle物化檢視Oracle
- 物化檢視詳解
- oracle 建立物化檢視Oracle
- Oracle 物化檢視建立Oracle
- materialized view (物化檢視)ZedView
- 物化檢視 on commitMIT
- 物化檢視日誌表被DROP後建立物化檢視報錯
- Oracle如何根據物化檢視日誌快速重新整理物化檢視Oracle
- 物化檢視的快速重新整理測試與物化檢視日誌
- 普通檢視和物化檢視的區別
- ORACLE中的物化檢視(OCM複習總結)Oracle
- calcite物化檢視詳解
- Oracle物化檢視詳解Oracle
- ORACLE物化檢視測試Oracle
- Oracle 物化檢視案例分享Oracle
- 物化檢視梳理總結
- ZT 物化檢視詳解
- Oracle物化檢視語法Oracle
- ORACLE物化檢視入門Oracle
- 刷物化檢視並行並行
- oracle物化檢視系列(二)Oracle
- oracle物化檢視系列(一)Oracle
- [20150610]使用物化檢視同步資料.txt
- 12c 物化檢視 - 理解完全重新整理的物化檢視工作原理
- 物化檢視匯出匯入可能導致物化檢視日誌的失效
- Oracle普通檢視和物化檢視的區別Oracle
- [20121101]物化檢視與表(Materialized Views and Tables).txtZedView
- 物化檢視重新整理並非完全根據物化檢視日誌記錄
- CUUG oracle物化檢視講解Oracle
- Oracle物化檢視3 - Prebuilt MVOracleUI
- Oracle 物化檢視 例項一Oracle
- Oracle物化檢視及SnapshotOracle