Dav*_*vic 13 oracle algorithm join query-performance
这是一个简化为连接两个索引的性能问题.采取以下设置:
CREATE TABLE ZZ_BASE AS SELECT dbms_random.random AS ID, DBMS_RANDOM.STRING('U',10) AS STR FROM DUAL CONNECT BY LEVEL <=1000000;
CREATE INDEX ZZ_B_I ON ZZ_BASE(ID ASC);
CREATE TABLE ZZ_CHILD AS SELECT dbms_random.random AS ID, DBMS_RANDOM.STRING('U',10) AS STR FROM DUAL CONNECT BY LEVEL <=1000000;
CREATE INDEX ZZ_C_I ON ZZ_CHILD(ID ASC);
-- As @Flado pointed out, the following is required so index scanning can be done
ALTER TABLE ZZ_BASE MODIFY (ID CONSTRAINT NN_B NOT NULL);
ALTER TABLE ZZ_CHILD MODIFY (ID CONSTRAINT NN_C NOT NULL); -- given the join below not mandatory.
Run Code Online (Sandbox Code Playgroud)
现在我想LEFT OUTER JOIN这两个表,只输出已经索引的ID字段.
SELECT ZZ_BASE.ID
FROM ZZ_BASE
LEFT OUTER JOIN ZZ_CHILD ON (ZZ_BASE.ID = ZZ_CHILD.ID);
----------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
----------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1000K| 9765K| | 4894 (2)| 00:00:30 |
|* 1 | HASH JOIN OUTER | | 1000K| 9765K| 16M| 4894 (2)| 00:00:30 |
| 2 | INDEX FAST FULL SCAN| ZZ_B_I | 1000K| 4882K| | 948 (3)| 00:00:06 |
| 3 | INDEX FAST FULL SCAN| ZZ_C_I | 1000K| 4882K| | 948 (3)| 00:00:06 |
----------------------------------------------------------------------------------------
Run Code Online (Sandbox Code Playgroud)
如您所见,不需要表访问,只能访问索引.但根据常识,HASH加入并不是加入这两个索引的最佳方式.如果这两个表大得多,则必须制作一个非常大的哈希表.
一种更有效的方法是对两个索引进行SORT-MERGE.
SELECT /*+ USE_MERGE(ZZ_BASE ZZ_CHILD) */ ZZ_BASE.ID
FROM ZZ_BASE
LEFT OUTER JOIN ZZ_CHILD ON (ZZ_BASE.ID = ZZ_CHILD.ID);
-----------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
-----------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1000K| 9765K| | 6931 (3)| 00:00:42 |
| 1 | MERGE JOIN OUTER | | 1000K| 9765K| | 6931 (3)| 00:00:42 |
| 2 | INDEX FULL SCAN | ZZ_B_I | 1000K| 4882K| | 2258 (2)| 00:00:14 |
|* 3 | SORT JOIN | | 1000K| 4882K| 22M| 4673 (4)| 00:00:29 |
| 4 | INDEX FAST FULL SCAN| ZZ_C_I | 1000K| 4882K| | 948 (3)| 00:00:06 |
-----------------------------------------------------------------------------------------
Run Code Online (Sandbox Code Playgroud)
但似乎第二个索引被排序,即使它已经存在("如果索引存在,那么数据库可以避免对第一个数据集进行排序.但是,无论索引如何,数据库总是对第二个数据集进行排序" 1)
基本上,我想要的是一个使用SORT-MERGE连接并立即开始输出记录的查询,即:
小智 1
INDEX_ASC(或只是 INDEX)是您可能想要尝试的提示,以便将性能与实际数据进行比较。
我有点惊讶的是,您对外部行源进行了任何类型的索引扫描,因为 B*Tree 索引无法找到 NULL 键,并且 ZZ_BASE 没有约束NOT NULL。添加它并进一步提示将使您按照 ZZ_C_I 索引的索引顺序进行完整扫描。不幸的是,这并不能节省你的SORT JOIN步骤,但至少它应该更快 - O(n) - 因为数据已经排序。
alter table zz_base modify (id not null);
SELECT
/*+ leading(zz_base) USE_MERGE(ZZ_CHILD)
index_asc(zz_base (id)) index(zz_child (id)) */ ZZ_BASE.ID
FROM ZZ_BASE left outer join ZZ_CHILD on zz_base.id=zz_child.id;
Run Code Online (Sandbox Code Playgroud)
该查询使用以下执行计划:
------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1000K| 9765K| | 8241 (3)| 00:00:50 |
| 1 | MERGE JOIN OUTER | | 1000K| 9765K| | 8241 (3)| 00:00:50 |
| 2 | INDEX FULL SCAN | ZZ_B_I | 1000K| 4882K| | 2258 (2)| 00:00:14 |
|* 3 | SORT JOIN | | 1000K| 4882K| 22M| 5983 (3)| 00:00:36 |
| 4 | INDEX FULL SCAN| ZZ_C_I | 1000K| 4882K| | 2258 (2)| 00:00:14 |
------------------------------------------------------------------------------------
Run Code Online (Sandbox Code Playgroud)