嵌套循环连接(nested loops join)原理

这三类表连接方式是Oracle最基本的连接方式：哈希连接(hash join) 原理 排序合并连接(sort merge join)的原理 嵌套循环连接(nes

这三类表连接方式是Oracle最基本的连接方式：
哈希连接(hash join) 原理
排序合并连接(sort merge join)的原理

嵌套循环连接(nested loops join)

访问次数：驱动表返回几条，，被驱动表访问多少次。

驱动表是否有顺序：有。

是否要排序：否。

应用场景： 1.关联中有一个表比较小；

2.被关联表的关联字段上有索引；

3.索引的键值不应该重复率很高。

如果你做过开发，就把它看成两层嵌套的for循环。

下面我们来做个实验：

SQL> create table test1 as select * from dba_objects where rownum

SQL> create table test2 as select * from dba_objects where rownum SQL> exec dbms_stats.gather_table_stats(user,'test1');

SQL> exec dbms_stats.gather_table_stats(user,'test2');

SQL> alter session set statistics_level=all;

SQL> select /*+leading(t1) use_nl(t2)*/count(*)
2 from test1 t1, test2 t2
3 where t1.object_id = t2.object_id;
COUNT(*)
----------
100
SQL> select * from table(dbms_xplan.display_cursor(null,null,'allstats last'));

PLAN_TABLE_OUTPUT
---------------------------------------------------------------------------------------------------------
SQL_ID 3v5gu7ppdsz67, child number 0
-------------------------------------
select /*+leading(t1) use_nl(t2)*/count(*) from test1 t1, test2 t2 where
t1.object_id = t2.object_id

Plan hash value: 1459699139

----解释一下：

Starts为该sql执行的次数。

E-Rows为执行计划预计的行数。

A-Rows为实际返回的行数。A-Rows跟E-Rows做比较，就可以确定哪一步执行计划出了问题。
A-Time为每一步实际执行的时间（HH：MM：SS.FF），根据这一行可以知道该sql耗时在了哪个地方。
Buffers为每一步实际执行的逻辑读或一致性读。
Reads为物理读。
OMem、1Mem为执行所需的内存评估值，0Mem为最优执行模式所需内存的评估值，1Mem为one-pass模式所需内存的评估值。
0/1/M 为最优/one-pass/multipass执行的次数。
Used-Mem耗的内存

 

---------------------------------------------------------------------------------------
| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers |
---------------------------------------------------------------------------------------
| 1 | SORT AGGREGATE | | 1 | 1 | 1 |00:00:00.01 | 1504 |
| 2 | NESTED LOOPS | | 1 | 100 | 100 |00:00:00.01 | 1504 |
| 3 | TABLE ACCESS FULL| TEST1 | 1 | 100 | 100 |00:00:00.01 | 4 |
|* 4 | TABLE ACCESS FULL| TEST2 | 100 | 1 | 100 |00:00:00.01 | 1500 |

---------------------------------------------------------------------------------------

Predicate Information (identified by operation id):
---------------------------------------------------
4 - filter("T1"."OBJECT_ID"="T2"."OBJECT_ID")


SQL> select /*+leading(t1) use_nl(t2)*/count(*)
2 from test1 t1, test2 t2
3 where t1.object_id = t2.object_id
4 and t1.object_id in (10, 11, 12);
COUNT(*)
----------
3
SQL> select * from table(dbms_xplan.display_cursor(null,null,'allstats last'));

PLAN_TABLE_OUTPUT
---------------------------------------------------------------------------------------------------------
SQL_ID 0skx6hyjtsncu, child number 0
-------------------------------------
select /*+leading(t1) use_nl(t2)*/count(*) from test1 t1, test2 t2 where
t1.object_id = t2.object_id and t1.object_id in (10, 11, 12)
---------------------------------------------------------------------------------------
| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers |
---------------------------------------------------------------------------------------
| 1 | SORT AGGREGATE | | 1 | 1 | 1 |00:00:00.01 | 49 |
| 2 | NESTED LOOPS | | 1 | 3 | 3 |00:00:00.01 | 49 |
|* 3 | TABLE ACCESS FULL| TEST1 | 1 | 3 | 3 |00:00:00.01 | 4 |
|* 4 | TABLE ACCESS FULL| TEST2 | 3 | 1 | 3 |00:00:00.01 | 45 |
---------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
3 - filter(("T1"."OBJECT_ID"=10 OR "T1"."OBJECT_ID"=11 OR
"T1"."OBJECT_ID"=12))
4 - filter((INTERNAL_FUNCTION("T2"."OBJECT_ID") AND
"T1"."OBJECT_ID"="T2"."OBJECT_ID"))

SQL> select /*+leading(t1) use_nl(t2)*/count(*)
2 from test1 t1, test2 t2
3 where t1.object_id = t2.object_id
4 and t1.object_id =10;
COUNT(*)
----------
1

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