Chinaunix首页 | 论坛 | 博客
  • 博客访问: 735028
  • 博文数量: 803
  • 博客积分: 6000
  • 博客等级: 准将
  • 技术积分: 5015
  • 用 户 组: 普通用户
  • 注册时间: 2008-10-28 10:29
文章分类

全部博文(803)

文章存档

2011年(1)

2008年(802)

我的朋友

分类:

2008-10-29 11:50:02


  我们的程序员抱怨一段执行很慢的程序,我把代码执行分析执行计划,
  后果如下:
  
  这是最初的执行效果及执行计划
  
  SQL> SELECT "SP_TRANS"."TRANS_NO",
  2 "SP_TRANS_SUB"."ITEM_CODE",
  3 "SP_ITEM"."ITEM_NAME",
  4 "SP_ITEM"."CHART_ID",
  5 "SP_ITEM"."SPECIFICATION",
  6 "SP_TRANS_SUB"."COUNTRY",
  7 "SP_TRANS_SUB"."QTY",
  8 "SP_TRANS_SUB"."PRICE",
  9 "SP_TRANS"."VENDOR_CODE",
  10 "SP_TRANS"."PAY_MODE",
  11 NVL("SP_TRANS_SUB"."PAY_QTY",0),
  12 0 as PAY_THIS
  13 FROM "SP_ITEM",
  14 "SP_TRANS_SUB",
  15 "SP_TRANS"
  16 WHERE ( "SP_TRANS_SUB"."TRANS_NO" = "SP_TRANS"."TRANS_NO" ) and
  17 ( "SP_ITEM"."ITEM_CODE" = "SP_TRANS_SUB"."ITEM_CODE" ) and
  18 ( ( "SP_TRANS"."VENDOR_CODE" = '20011021023') )
  19 /
  
  8 rows selected.
  
  Elapsed: 00: 00: 00.51
  
  Execution Plan
  ----------------------------------------------------------
  0 SELECT STATEMENT Optimizer=CHOOSE
  1 0 NESTED LOOPS
  2 1 NESTED LOOPS
  3 2 TABLE ACCESS (FULL) OF 'SP_TRANS'
  4 2 TABLE ACCESS (BY INDEX ROWID) OF 'SP_TRANS_SUB'
  5 4 INDEX (RANGE SCAN) OF 'PK_SP_TRANS_SUB' (UNIQUE)
  6 1 TABLE ACCESS (BY INDEX ROWID) OF 'SP_ITEM'
  7 6 INDEX (UNIQUE SCAN) OF 'PK_SP_ITEM' (UNIQUE)
  
  Statistics
  ----------------------------------------------------------
  0 recursive calls
  4 db block gets
  323 consistent gets
  0 physical reads
  0 redo size
  1809 bytes sent via SQL*Net to client
  425 bytes received via SQL*Net from client
  2 SQL*Net roundtrips to/from client
  0 sorts (memory)
  0 sorts (disk)
  8 rows processed
  此前这几个表都没有分析过。
  
  然后我analyze相关表
  SQL> analyze table sp_trans_sub compute statistics;
  
  Table analyzed.
  
  Elapsed: 00: 00: 30.64
  SQL> SELECT "SP_TRANS"."TRANS_NO",
  2 "SP_TRANS_SUB"."ITEM_CODE",
  3 "SP_ITEM"."ITEM_NAME",
  4 "SP_ITEM"."CHART_ID",
  5 "SP_ITEM"."SPECIFICATION",
  6 "SP_TRANS_SUB"."COUNTRY",
  7 "SP_TRANS_SUB"."QTY",
  8 "SP_TRANS_SUB"."PRICE",
  9 "SP_TRANS"."VENDOR_CODE",
  10 "SP_TRANS"."PAY_MODE",
  11 NVL("SP_TRANS_SUB"."PAY_QTY",0),
  12 0 as PAY_THIS
  13 FROM "SP_ITEM",
  14 "SP_TRANS_SUB",
  15 "SP_TRANS"
  16 WHERE ( "SP_TRANS_SUB"."TRANS_NO" = "SP_TRANS"."TRANS_NO" ) and
  17 ( "SP_ITEM"."ITEM_CODE" = "SP_TRANS_SUB"."ITEM_CODE" ) and
  18 ( ( "SP_TRANS"."VENDOR_CODE" = '20011021023') )
  19 /
  
  8 rows selected.
  
  Elapsed: 00: 00: 06.49
  
  Execution Plan
  ----------------------------------------------------------
  0 SELECT STATEMENT Optimizer=CHOOSE (Cost=18577 Card=126726520
  Bytes=30034185240)
  
  1 0 MERGE JOIN (Cost=18577 Card=126726520 Bytes=30034185240)
  2 1 SORT (JOIN) (Cost=14722 Card=310300 Bytes=20790100)
  3 2 HASH JOIN (Cost=358 Card=310300 Bytes=20790100)
  4 3 TABLE ACCESS (FULL) OF 'SP_TRANS' (Cost=43 Card=229
  Bytes=8473)
  
  5 3 TABLE ACCESS (FULL) OF 'SP_TRANS_SUB' (Cost=158 Card
  =135502 Bytes=4065060)
  
  6 1 SORT (JOIN) (Cost=3855 Card=40840 Bytes=6942800)
  7 6 TABLE ACCESS (FULL) OF 'SP_ITEM' (Cost=77 Card=40840 B
  ytes=6942800)
  
  Statistics
  ----------------------------------------------------------
  150 recursive calls
  89 db block gets
  1837 consistent gets
  755 physical reads
  60 redo size
  1732 bytes sent via SQL*Net to client
  425 bytes received via SQL*Net from client
  2 SQL*Net roundtrips to/from client
  4 sorts (memory)
  1 sorts (disk)
  8 rows processed
  
  SQL>
  
  SQL> analyze table sp_trans compute statistics;
  
  Table analyzed.
  
  Elapsed: 00: 00: 13.00
  SQL>
  SQL> SELECT "SP_TRANS"."TRANS_NO",
  2 "SP_TRANS_SUB"."ITEM_CODE",
  3 "SP_ITEM"."ITEM_NAME",
  4 "SP_ITEM"."CHART_ID",
  5 "SP_ITEM"."SPECIFICATION",
  6 "SP_TRANS_SUB"."COUNTRY",
  7 "SP_TRANS_SUB"."QTY",
  8 "SP_TRANS_SUB"."PRICE",
  9 "SP_TRANS"."VENDOR_CODE",
  10 "SP_TRANS"."PAY_MODE",
  11 NVL("SP_TRANS_SUB"."PAY_QTY",0),
  12 0 as PAY_THIS
  13 FROM "SP_ITEM",
  14 "SP_TRANS_SUB",
  15 "SP_TRANS"
  16 WHERE ( "SP_TRANS_SUB"."TRANS_NO" = "SP_TRANS"."TRANS_NO" ) and
  17 ( "SP_ITEM"."ITEM_CODE" = "SP_TRANS_SUB"."ITEM_CODE" ) and
  18 ( ( "SP_TRANS"."VENDOR_CODE" = '20011021023') )
  19 /
  
  8 rows selected.
  
  Elapsed: 00: 00: 01.62
  
  Execution Plan
  ----------------------------------------------------------
  0 SELECT STATEMENT Optimizer=CHOOSE (Cost=1453 Card=447198 Byt
  es=101066748)
  
  1 0 NESTED LOOPS (Cost=1453 Card=447198 Bytes=101066748)
  2 1 HASH JOIN (Cost=358 Card=1095 Bytes=61320)
  3 2 TABLE ACCESS (FULL) OF 'SP_TRANS' (Cost=43 Card=273 By
  tes=7098)
  
  4 2 TABLE ACCESS (FULL) OF 'SP_TRANS_SUB' (Cost=158 Card=1
  35502 Bytes=4065060)
  
  5 1 TABLE ACCESS (BY INDEX ROWID) OF 'SP_ITEM' (Cost=1 Card=
  40840 Bytes=6942800)
  
  6 5 INDEX (UNIQUE SCAN) OF 'PK_SP_ITEM' (UNIQUE)
  
  Statistics
  ----------------------------------------------------------
  0 recursive calls
  8 db block gets
  1344 consistent gets
  0 physical reads
  0 redo size
  1824 bytes sent via SQL*Net to client
  425 bytes received via SQL*Net from client
  2 SQL*Net roundtrips to/from client
  3 sorts (memory)
  0 sorts (disk)
  8 rows processed
  
  SQL>
  SQL> analyze table sp_item compute statistics
  2 /
  
  Table analyzed.
  
  Elapsed: 00: 00: 11.67
  SQL> SELECT "SP_TRANS"."TRANS_NO",
  2 "SP_TRANS_SUB"."ITEM_CODE",
  3 "SP_ITEM"."ITEM_NAME",
  4 "SP_ITEM"."CHART_ID",
  5 "SP_ITEM"."SPECIFICATION",
  6 "SP_TRANS_SUB"."COUNTRY",
  7 "SP_TRANS_SUB"."QTY",
  8 "SP_TRANS_SUB"."PRICE",
  9 "SP_TRANS"."VENDOR_CODE",
  10 "SP_TRANS"."PAY_MODE",
  11 NVL("SP_TRANS_SUB"."PAY_QTY",0),
  12 0 as PAY_THIS
  13 FROM "SP_ITEM",
  14 "SP_TRANS_SUB",
  15 "SP_TRANS"
  16 WHERE ( "SP_TRANS_SUB"."TRANS_NO" = "SP_TRANS"."TRANS_NO" ) and
  17 ( "SP_ITEM"."ITEM_CODE" = "SP_TRANS_SUB"."ITEM_CODE" ) and
  18 ( ( "SP_TRANS"."VENDOR_CODE" = '20011021023') )
  19 /
  
  8 rows selected.
  
  Elapsed: 00: 00: 01.43
  
  Execution Plan
  ----------------------------------------------------------
  0 SELECT STATEMENT Optimizer=CHOOSE (Cost=687 Card=1362 Bytes=
  128028)
  
  1 0 HASH JOIN (Cost=687 Card=1362 Bytes=128028)
  2 1 HASH JOIN (Cost=358 Card=1362 Bytes=76272)
  3 2 TABLE ACCESS (FULL) OF 'SP_TRANS' (Cost=43 Card=273 By
  tes=7098)
  
  4 2 TABLE ACCESS (FULL) OF 'SP_TRANS_SUB' (Cost=158 Card=1
  35502 Bytes=4065060)
  
  5 1 TABLE ACCESS (FULL) OF 'SP_ITEM' (Cost=77 Card=29547 Byt
  es=1122786)
  
  Statistics
  ----------------------------------------------------------
  0 recursive calls
  12 db block gets
  1820 consistent gets
  0 physical reads
  0 redo size
  1732 bytes sent via SQL*Net to client
  425 bytes received via SQL*Net from client
  2 SQL*Net roundtrips to/from client
  3 sorts (memory)
【责编:admin】

--------------------next---------------------

阅读(258) | 评论(0) | 转发(0) |
给主人留下些什么吧!~~