Web翻頁優化實例
作者:Wanghai
環境：
Linux version 2.4.20-8custom (root@web2) (gcc version 3.2.2 20030222 (Red Hat Linux 3.2.2-5)) #3 SMP Thu Jun 5 22:03:36 CST 2003
Mem: 2113466368
Swap: 4194881536
CPU:兩個超線程的Intel(R) Xeon(TM) CPU 2.40GHz
優化前語句在mysql裡面查詢15秒左右出來，轉移到oracle後進行在不調整索引和語句的情況下執行時間大概是4-5秒，調整後執行時間小於0.5秒。
翻頁語句：
SELECT * FROM (SELECT T1.*, rownum as linenum FROM (
SELECT /*+ index(a ind_old)*/
a.category FROM auction_auctions a WHERE a.category =' 170101 ' AND a.closed='0' AND ends > sysdate AND (a.approve_status>=0) ORDER BY a.ends) T1 WHERE rownum < 18681) WHERE linenum >= 18641
被查詢的表：auction_auctions（產品表）
表結構：
SQL> desc auction_auctions;
Name Null? Type
----------------------------------------- -------- ----------------------------
ID NOT NULL VARCHAR2(32)
USERNAME VARCHAR2(32)
TITLE CLOB
GMT_MODIFIED NOT NULL DATE
STARTS NOT NULL DATE
DESCRIPTION CLOB
PICT_URL CLOB
CATEGORY NOT NULL VARCHAR2(11)
MINIMUM_BID NUMBER
RESERVE_PRICE NUMBER
BUY_NOW NUMBER
AUCTION_TYPE CHAR(1)
DURATION VARCHAR2(7)
INCREMENTNUM NOT NULL NUMBER
CITY VARCHAR2(30)
PROV VARCHAR2(20)
LOCATION VARCHAR2(40)
LOCATION_ZIP VARCHAR2(6)
SHIPPING CHAR(1)
PAYMENT CLOB
INTERNATIONAL CHAR(1)
ENDS NOT NULL DATE
CURRENT_BID NUMBER
CLOSED CHAR(2)
PHOTO_UPLOADED CHAR(1)
QUANTITY NUMBER(11)
STORY CLOB
HAVE_INVOICE NOT NULL NUMBER(1)
HAVE_GUARANTEE NOT NULL NUMBER(1)
STUFF_STATUS NOT NULL NUMBER(1)
APPROVE_STATUS NOT NULL NUMBER(1)
OLD_STARTS NOT NULL DATE
ZOO VARCHAR2(10)
PROMOTED_STATUS NOT NULL NUMBER(1)
REPOST_TYPE CHAR(1)
REPOST_TIMES NOT NULL NUMBER(4)
SECURE_TRADE_AGREE NOT NULL NUMBER(1)
SECURE_TRADE_TRANSACTION_FEE VARCHAR2(16)
SECURE_TRADE_ORDINARY_POST_FEE NUMBER
SECURE_TRADE_FAST_POST_FEE NUMBER
表記錄數及大小
SQL> select count(*) from auction_auctions;
COUNT(*)
----------
537351
SQL> select segment_name,bytes,blocks from user_segments where segment_name ='AUCTION_AUCTIONS';
SEGMENT_NAME BYTES BLOCKS
AUCTION_AUCTIONS 1059061760 129280
表上原有的索引
create index ind_old on auction_auctions(closed,approve_status,category,ends) tablespace tbsindex compress 2;
SQL> select segment_name,bytes,blocks from user_segments where segment_name = 'IND_OLD';
SEGMENT_NAME BYTES BLOCKS
IND_OLD 20971520 2560
表和索引都已經分析過，我們來看一下sql執行的費用
SQL> set autotrace trace;
SQL> SELECT * FROM (SELECT T1.*, rownum as linenum FROM (SELECT a.* FROM auction_auctions a WHERE a.category like '18%' AND a.closed='0' AND ends > sysdate AND (a.approve_status>=0) ORDER BY a.ends) T1 WHERE rownum <18681) WHERE linenum >= 18641;
40 rows selected.
Execution Plan
----------------------------------------------------------
0 SELECT STATEMENT Optimizer=CHOOSE (Cost=19152 Card=18347 Byt
es=190698718)
1 0 VIEW (Cost=19152 Card=18347 Bytes=190698718)
2 1 COUNT (STOPKEY)
3 2 VIEW (Cost=19152 Card=18347 Bytes=190460207)
4 3 TABLE ACCESS (BY INDEX ROWID) OF 'AUCTION_AUCTIONS'
(Cost=19152 Card=18347 Bytes=20860539)
5 4 INDEX (RANGE SCAN) OF 'IND_OLD' (NON-UNIQUE) (Cost
=810 Card=186003)
Statistics
----------------------------------------------------------
0 recursive calls
0 db block gets
19437 consistent gets
18262 physical reads
0 redo size
114300 bytes sent via SQL*Net to client
56356 bytes received via SQL*Net from client
435 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
40 rows processed
我們可以看到這條sql語句通過索引範圍掃瞄找到最裡面的結果集，然後通過兩個view操作最後得出數據。其中18502 consistent gets，17901 physical reads
我們來看一下這個索引建的到底合不合理，先看下各個查尋列的distinct值
select count(distinct ends) from auction_auctions;
COUNT(DISTINCTENDS)
-------------------
338965
SQL> select count(distinct category) from auction_auctions;
COUNT(DISTINCTCATEGORY)
-----------------------
1148
SQL> select count(distinct closed) from auction_auctions;
COUNT(DISTINCTCLOSED)
---------------------
2
SQL> select count(distinct approve_status) from auction_auctions;
COUNT(DISTINCTAPPROVE_STATUS)
-----------------------------
5
頁索引裡列平均存儲長度
SQL> select avg(vsize(ends)) from auction_auctions;
AVG(VSIZE(ENDS))
----------------
7
SQL> select avg(vsize(closed)) from auction_auctions;
AVG(VSIZE(CLOSED))
------------------
2
SQL> select avg(vsize(category)) from auction_auctions;
AVG(VSIZE(CATEGORY))
--------------------
5.52313106
SQL> select avg(vsize(approve_status)) from auction_auctions;
AVG(VSIZE(APPROVE_STATUS))
--------------------------
1.67639401
我們來估算一下各種組合索引的大小，可以看到closed,approve_status，category都是相對較低集勢的列（重複值較多），下面我們來大概計算下各種頁索引需要的空間
column distinct num column len
ends 338965 7
category 1148 5.5
closed 2 2
approve_status 5 1.7
index1: (ends,closed,category,approve_status) compress 2
ends:distinct number---338965
closed: distinct number---2
index size=338965*2*(9+2)+ 537351*(1.7+5.5+6)=14603998
index2: (closed,category,ends,approve_status)
closed: distinct number---2
category: distinct number---1148
index size=2*1148*(2+5.5)+537351*(7+1.7+6)=7916279
index3: (closed,approve_status,category,ends)
closed: distinct number---2
approve_status: distinct number－5
index size=2*5*(2+1.7)+537351*(7+5.5+6)=9941030
結果出來了，index2: (closed,category,ends,approve_status)的索引最小
我們再來看一下語句
SELECT * FROM (SELECT T1.*, rownum as linenum FROM (SELECT a.* FROM auction_auctions a WHERE a.category like '18%' AND a.closed='0' AND ends > sysdate AND (a.approve_status>=0) ORDER BY a.ends) T1 WHERE rownum <18681) WHERE linenum >= 18641;
可以看出這個sql語句有很大優化餘地，首先最裡面的結果集SELECT a.* FROM auction_auctions a WHERE a.category like '18%' AND a.closed='0' AND ends > sysdate AND (a.approve_status>=0) ORDER BY a.ends，這裡的話會走index range scan,然後table scan by rowid，這樣的話如果符合條件的數據多的話相當耗資源，我們可以改寫成
SELECT a.rowid FROM auction_auctions a WHERE a.category like '18%' AND a.closed='0' AND ends > sysdate AND (a.approve_status>=0) ORDER BY a.ends
這樣的話最裡面的結果集只需要index fast full scan就可以完成了，再改寫一下得出以下語句
select * from auction_auctions where rowid in (SELECT rid FROM (
SELECT T1.rowid rid, rownum as linenum FROM
(SELECT a.rowid FROM auction_auctions a WHERE a.category like '18%' AND a.closed='0' AND ends > sysdate AND
(a.approve_status>=0) ORDER BY a.ends) T1 WHERE rownum < 18681) WHERE linenum >= 18641)
下面我們來測試一下這個索引的查詢開銷
select * from auction_auctions where rowid in (SELECT rid FROM (
SELECT T1.rowid rid, rownum as linenum FROM
(SELECT a.rowid FROM auction_auctions a WHERE a.category like '18%' AND a.closed='0' AND ends > sysdate AND
(a.approve_status>=0) ORDER BY a.closed,a.ends) T1 WHERE rownum < 18681) WHERE linenum >= 18641)
Execution Plan
----------------------------------------------------------
0 SELECT STATEMENT Optimizer=CHOOSE (Cost=18698 Card=18344 Byt
es=21224008)
1 0 NESTED LOOPS (Cost=18698 Card=18344 Bytes=21224008)
2 1 VIEW (Cost=264 Card=18344 Bytes=366880)
3 2 SORT (UNIQUE)
4 3 COUNT (STOPKEY)
5 4 VIEW (Cost=264 Card=18344 Bytes=128408)
6 5 SORT (ORDER BY STOPKEY) (Cost=264 Card=18344 Byt
es=440256)
7 6 INDEX (FAST FULL SCAN) OF 'IDX_AUCTION_BROWSE'
(NON-UNIQUE) (Cost=159 Card=18344 Bytes=440256)
8 1 TABLE ACCESS (BY USER ROWID) OF 'AUCTION_AUCTIONS' (Cost
=1 Card=1 Bytes=1137)
Statistics
----------------------------------------------------------
0 recursive calls
0 db block gets
2080 consistent gets
1516 physical reads
0 redo size
114840 bytes sent via SQL*Net to client
56779 bytes received via SQL*Net from client
438 SQL*Net roundtrips to/from client
2 sorts (memory)
0 sorts (disk)
40 rows processed
可以看到consistent gets從19437降到2080，physical reads從18262降到1516，查詢時間也叢4秒左右下降到0。5秒，可以來說這次sql調整取得了預期的效果。
又修改了一下語句，
SQL> select * from auction_auctions where rowid in
2 (SELECT rid FROM (
3 SELECT T1.rowid rid, rownum as linenum FROM
4 (SELECT a.rowid FROM auction_auctions a
5 WHERE a.category like '18%' AND a.closed='0' AND ends > sysdate AND
a.approve_status>=0
6 7 ORDER BY a.closed,a.category,a.ends) T1
8 WHERE rownum < 18600) WHERE linenum >= 18560) ;
40 rows selected.
Execution Plan
----------------------------------------------------------
0 SELECT STATEMENT Optimizer=CHOOSE (Cost=17912 Card=17604 Byt
es=20367828)
1 0 NESTED LOOPS (Cost=17912 Card=17604 Bytes=20367828)
2 1 VIEW (Cost=221 Card=17604 Bytes=352080)
3 2 SORT (UNIQUE)
4 3 COUNT (STOPKEY)
5 4 VIEW (Cost=221 Card=17604 Bytes=123228)
6 5 INDEX (RANGE SCAN) OF 'IDX_AUCTION_BROWSE' (NON-
UNIQUE) (Cost=221 Card=17604 Bytes=422496)
7 1 TABLE ACCESS (BY USER ROWID) OF 'AUCTION_AUCTIONS' (Cost
=1 Card=1 Bytes=1137)
Statistics
----------------------------------------------------------
0 recursive calls
0 db block gets
550 consistent gets
14 physical reads
0 redo size
117106 bytes sent via SQL*Net to client
56497 bytes received via SQL*Net from client
436 SQL*Net roundtrips to/from client
1 sorts (memory)
0 sorts (disk)
40 rows processed
在order by裡加上索引前導列，消除了
6 5 SORT (ORDER BY STOPKEY) (Cost=264 Card=18344 Byt
es=440256)
，把consistent gets從2080降到550
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