总结:
1、主键和复合主键,查询性能相同(索引高度相同,恰当的运用索引)。
2、主键和复合主键,(update,insert)性能不同(因为复合主键会用更多的块来创建索引,所以update,insert性能低)
实验思路:
1、 建立实验表,及主键,联合2个主键,联合3个主键
2、 查看索引的结构
3、查看条件相同的,执行计划(来确定主键和复合主键的效率)
一、 建立实验表;test1为单主键为1个column,test2为联合主键2个columns,test3为联合主键3个columns
SQL> create table test1(a number,b number,c number,primary key(a));
Table created.
SQL> create table test2(a number,b number,c number,primary key(a,b));
Table created.
SQL> create table test3(a number,b number,c number,primary key(a,b,c));
Table created.
二、 查看索引的结构
1、先查看一下建立的表对应的索引
SQL> select index_name,table_name from user_indexes;
INDEX_NAME TABLE_NAME
------------------------------ ------------------------------
SYS_C005198 TEST1
SYS_C005199 TEST2
SYS_C005200 TEST3
2、写个储存过程来给实验表插入数据
begin
for i in 1..10000 loop
insert into test1 values(i,i+1,i+2);
commit;
end loop;
end;
Test1
SQL>analyze index SYS_C005198 validate structure;
Index analyzed.
SQL> select HEIGHT,BLOCKS,BR_BLKS,LF_BLKS,LF_ROWS,DEL_LF_ROWS from index_stats ;
HEIGHT BLOCKS BR_BLKS LF_BLKS LF_ROWS DEL_LF_ROWS
---------- ---------- ---------- ---------- ---------- -----------
2 24 1 18 10000 0
Test2
SQL> analyze index SYS_C005199 validate structure;
Index analyzed.
SQL> select HEIGHT,BLOCKS,BR_BLKS,LF_BLKS,LF_ROWS,DEL_LF_ROWS from index_stats ;
HEIGHT BLOCKS BR_BLKS LF_BLKS LF_ROWS DEL_LF_ROWS
---------- ---------- ---------- ---------- ---------- -----------
2 32 1 23 10000 0
Test3
SQL>analyze index SYS_C005200 validate structure;
Index analyzed.
SQL> select HEIGHT,BLOCKS,BR_BLKS,LF_BLKS,LF_ROWS,DEL_LF_ROWS from index_stats ;
HEIGHT BLOCKS BR_BLKS LF_BLKS LF_ROWS DEL_LF_ROWS
---------- ---------- ---------- ---------- ---------- -----------
2 40 1 28 10000 0
总结:根据B-TREE索引的结构特点。说明主键和联合主键,同样的数据联合主键需要更多的资源来维护索引。(联合主键索引因为用了更多的块,所以update,insert会比主键索引慢一些。至于查询下面研究)
三、 查看相同情况下,主键的效率。
1、 语句都让其走INDEX UNIQUE SCAN,看看效率:
Test1
SQL> select a from test1 where a=5555;
A
----------
5555
Execution Plan
----------------------------------------------------------
Plan hash value: 2716871853
--------------------------------------------------------------------------------
-
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time
|
--------------------------------------------------------------------------------
-
| 0 | SELECT STATEMENT | | 1 | 13 | 1 (0)| 00:00:01
|
|* 1 | INDEX UNIQUE SCAN| SYS_C005198 | 1 | 13 | 1 (0)| 00:00:01
|
--------------------------------------------------------------------------------
-
Predicate Information (identified by operation id):
---------------------------------------------------
1 - access("A"=5555)
Statistics
----------------------------------------------------------
1 recursive calls
0 db block gets
2 consistent gets
0 physical reads
0 redo size
405 bytes sent via SQL*Net to client
385 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
Test2
SQL> select a,b from test2 where a=5555 and b=5556;
A B
---------- ----------
5555 5556
Execution Plan
----------------------------------------------------------
Plan hash value: 3210951477
--------------------------------------------------------------------------------
-
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time
|
--------------------------------------------------------------------------------
-
| 0 | SELECT STATEMENT | | 1 | 26 | 1 (0)| 00:00:01
|
|* 1 | INDEX UNIQUE SCAN| SYS_C005199 | 1 | 26 | 1 (0)| 00:00:01
|
--------------------------------------------------------------------------------
-
Predicate Information (identified by operation id):
---------------------------------------------------
1 - access("A"=5555 AND "B"=5556)
Statistics
----------------------------------------------------------
1 recursive calls
0 db block gets
2 consistent gets
0 physical reads
0 redo size
460 bytes sent via SQL*Net to client
385 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
Test3
SQL> select a,b,c from test3 where a=5555 and b=5556 and c=5557;
A B C
---------- ---------- ----------
5555 5556 5557
Execution Plan
----------------------------------------------------------
Plan hash value: 1852305570
--------------------------------------------------------------------------------
-
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time
|
--------------------------------------------------------------------------------
-
| 0 | SELECT STATEMENT | | 1 | 39 | 1 (0)| 00:00:01
|
|* 1 | INDEX UNIQUE SCAN| SYS_C005200 | 1 | 39 | 1 (0)| 00:00:01
|
--------------------------------------------------------------------------------
-
Predicate Information (identified by operation id):
---------------------------------------------------
1 - access("A"=5555 AND "B"=5556 AND "C"=5557)
Statistics
----------------------------------------------------------
1 recursive calls
0 db block gets
2 consistent gets
0 physical reads
0 redo size
515 bytes sent via SQL*Net to client
385 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
分析:通过执行SQL走INDEX UNIQUE SCAN索引的情况,分析执行计划得到的结果是主键和联合主键性能相同:
(我们关注的:
1 recursive calls
0 db block gets
2 consistent gets
0 physical reads
0 redo size
消耗一致和COST消耗一致。)
总结:主键和联合主键,应用B-tree索引的情况下,如果我们的索引高度相同,且正确的应用索引。这样的情况下我们查询性能是相同的。
欢迎大家给与纠正错误,共同提升!
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Oracle主键与复合主键的性能分析
来源: 互联网 发布时间:2017-05-01
本文导语: 总结:1、主键和复合主键,查询性能相同(索引高度相同,恰当的运用索引)。2、主键和复合主键,(update,insert)性能不同(因为复合主键会用更多的块来创建索引,所以update,insert性能低) 实验思路:1、 建立实验表,及主键,联...
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