洞察探索如何利用兼容微信生态的小程序容器,实现跨平台开发,助力金融和车联网行业的数字化转型。
359
2023-12-12
这篇文章将为大家详细讲解有关如何通过explain和dbms_xplan包分析执行计划,文章内容质量较高,因此小编分享给大家做个参考,希望大家阅读完这篇文章后对相关知识有一定的了解。
该工具需要访问一张特殊的表plan_table,该表用于存储执行计划,在Oracle 10g之前需要用脚本utlxplan.sql创建:
建表:
@?\rdbms\admin\utlxplan.sql
建同义词:
create public synonym plan_table for plan_table;
授权:
grant all on plan_table to public;
Oracle 10g之后不再需要创建表plan_table,而是增加了数据字典表plan_table$,然后基于plan_table$创建了公共同义词供用户使用。
explain基本语法:
explain plan [set statement_id = stmt_id] for sql_statement;
explain指令的执行结果存储于表plan_table中,有几种方法获取执行计划的详细信息:
1、直接查询plan_table表
解释计划
explain plan for select count(*) from scott.emp;
查询结果
col id for 999
col operation for a50
col options for a20
col object_name for a20
select id,
lpad( , 2 * depth) || operation || || options ||
decode(id, 0, substr(optimizer, 1, 6) || Cost = || to_char(cost)) operation,
options,
object_name,
position
from plan_table
where plan_id = (select max(plan_id) from plan_table)
order by id;
ID OPERATION OPTIONS OBJECT_NAME POSITION
---- -------------------------------------------------- -------------------- -------------------- ----------
0 SELECT STATEMENT ALL_RO Cost = 1 1
1 SORT AGGREGATE AGGREGATE 1
2 INDEX FULL SCAN FULL SCAN PK_EMP 1
或者用以下查询,包含了执行计划树的level层次关系
col "Execute Plan" for a100
select id || || parent_id || || lpad( , 2 * level - 1) ||
operation || || options || || object_name || (Cost= || cost || ) as "Execute Plan"
from plan_table
start with id = 0
connect by prior id = parent_id;
Execute Plan
----------------------------------------------------------------------------------------------------
0 SELECT STATEMENT (Cost=1)
1 0 SORT AGGREGATE (Cost=)
2 1 INDEX FULL SCAN PK_EMP (Cost=1)
2、通过程序包dbms_xplan获得执行计划
1)获得最近一次explain的执行计划
col "PLAN_TABLE_OUTPUT" for a100
select * from table(dbms_xplan.display());
PLAN_TABLE_OUTPUT
----------------------------------------------------------------------------------------------------
Plan hash value: 2937609675
-------------------------------------------------------------------
| Id | Operation | Name | Rows | Cost (%CPU)| Time |
-------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 1 (0)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | | |
| 2 | INDEX FULL SCAN| PK_EMP | 14 | 1 (0)| 00:00:01 |
-------------------------------------------------------------------
2)通过指定的语句ID来查询
select * from table(dbms_xplan.display(plan_table, stmt_id));
3)通过SQL_ID和子游标来查询,该函数并不要求先做explain,显示的信息也较详细,另外还有一个format参数可以做更详细的定制。
select * from table(dbms_xplan.display_cursor(sql_id, child_number, format));
sql_id为null时显示最近一次执行的SQL的执行计划,但注意要保持set serveroutput off,否则最后一句SQL将不是你运行的SQL,child number为null,则返回所有子游标的执行计划。
可以通过在SQL语句中加入注释,方便的获取SQL_ID和CHILD_NUMBER信息,如以下SQL,先执行一次
select /*12345*/ m.material_id, m.material_no, m.part_no, m.material_name, m.validaterule, m.validaterule2
from cmes.c_material_t m
where (regexp_like(641234HNGA080001A, m.validaterule, c) or
regexp_like(641234HNGA080001A, m.validaterule2, c))
and m.deleted_flag = 0
and rownum = 1;
查出它的ID:
select sql_id, child_number from v$sql where sql_text like %12345%;
SQL_ID CHILD_NUMBER
------------- ------------
9jk2r7a64s470 0
cc274s1r7ab6w 0
因为以上包含"12345"注释的语句被执行了两条,所以因取先执行的第一条为实际的ID。
查看执行计划:
col PLAN_TABLE_OUTPUT for a100;
select * from table(dbms_xplan.display_cursor(9jk2r7a64s470, 0));
PLAN_TABLE_OUTPUT
----------------------------------------------------------------------------------------------------
SQL_ID 9jk2r7a64s470, child number 0
-------------------------------------
select /*12345*/ m.material_id, m.material_no, m.part_no, m.material_name, m.validaterule, m.validaterule2
from cmes.c_material_t m
where (regexp_like(641234HNGA080001A, m.validaterule, c) or
regexp_like(641234HNGA080001A, m.validaterule2, c))
and m.deleted_flag = 0
and rownum = 1;
Plan hash value: 1524529232
-----------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
-----------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | | | 2 (100)| |
|* 1 | COUNT STOPKEY | | | | | |
|* 2 | TABLE ACCESS FULL| C_MATERIAL_T | 2 | 116 | 2 (0)| 00:00:01 |
-----------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter(ROWNUM=1)
2 - filter(("M"."DELETED_FLAG"=0 AND ( REGEXP_LIKE
(641234HNGA080001A,"M"."VALIDATERULE",c,<not feasible>)
查看更详细的执行计划信息,需要先设置统计级别为ALL,否则没有A-ROWS等信息
alter session set statistics_level = all;
或者在语句级别使用HINT
select /*+gather_plan_statistics*/
select m.material_id, m.material_no, m.part_no, m.material_name, m.validaterule, m.validaterule2
from cmes.c_material_t m
where (regexp_like(641234HNGA080001A, m.validaterule, c) or
regexp_like(641234HNGA080001A, m.validaterule2, c))
and m.deleted_flag = 0
and rownum = 1;
select * from table(dbms_xplan.display_cursor(null, null, ALLSTATS));
PLAN_TABLE_OUTPUT
---------------------------------------------------------------------------------------------------
SQL_ID fmu73t3umxm1r, child number 0
-------------------------------------
select m.material_id, m.material_no, m.part_no, m.material_name, m.validaterule,
m.validaterule2 from cmes.c_material_t m where (regexp_like(641234HNGA080001A,
m.validaterule, c) or regexp_like(641234HNGA080001A, m.validaterule2,
c)) and m.deleted_flag = 0 and rownum = 1
Plan hash value: 1524529232
---------------------------------------------------------------------------------------------
| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers |
---------------------------------------------------------------------------------------------
|* 1 | COUNT STOPKEY | | 1 | | 0 |00:00:00.01 | 16 |
|* 2 | TABLE ACCESS FULL| C_MATERIAL_T | 1 | 2 | 0 |00:00:00.01 | 16 |
---------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter(ROWNUM=1)
2 - filter((( REGEXP_LIKE (641234HNGA080001A,"M"."VALIDATERULE",c,-)
这里E-Rows是预估的返回行数,A-Rows是实际的返回行数。
format的高级应用可以显示更多的信息,特别是可以显示绑定变量的具体值,这个非常有用。以下是推荐的使用格式
select * from table(dbms_xplan.display_cursor(null,null,ADVANCED ALLSTATS LAST PEEKED_BINDS));
allstats:iostats + memstats,iostats显示该游标累计执行的io统计信息(buffers, reads),memstats显示累计执行的pga使用信息(omem 1mem used-mem)
last:仅显示最后一次执行的统计信息
advanced:显示outline、query block name、column projection等信息
peeked_binds:打印解析时使用的绑定变量
如以下操作可以显示非常详细的执行计划和绑定变量等信息
alter session set statistics_level = all;
var a varchar2(20);
exec :a := EMP;
select object_id from dba_objects where object_name = :a;
select * from table(dbms_xplan.display_cursor(null,null,ADVANCED ALLSTATS LAST PEEKED_BINDS));
dbms_xplan程序包还有一个函数display_awr可以获取AWR报告中指定SQL_ID的执行计划
col PLAN_TABLE_OUTPUT for a100;
select * from table(dbms_xplan.display_awr(9jk2r7a64s470));
该函数获取的执行计划来自dba_hist_sql_plan视图,通过历史数据记录,甚至一些被老化的SQL执行计划仍然可以被查询到。
3、通过脚本utlxpls.sql或utlxplp.sql获得执行计划
@?\rdbms\admin\utlxpls.sql
或
@?\rdbms\admin\utlxplp.sql
PLAN_TABLE_OUTPUT
----------------------------------------------------------------------------------------------------
Plan hash value: 2937609675
-------------------------------------------------------------------
| Id | Operation | Name | Rows | Cost (%CPU)| Time |
-------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 1 (0)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | | |
| 2 | INDEX FULL SCAN| PK_EMP | 14 | 1 (0)| 00:00:01 |
-------------------------------------------------------------------
看一下这两个脚本的内容,该方法实际是调用了方法2中的程序包
get ?\rdbms\admin\utlxpls.sql
......
41* select plan_table_output from table(dbms_xplan.display(plan_table,null,serial));
42
get ?\rdbms\admin\utlxplp.sql
......
40* select * from table(dbms_xplan.display());
关于如何通过explain和dbms_xplan包分析执行计划就分享到这里了,希望以上内容可以对大家有一定的帮助,可以学到更多知识。如果觉得文章不错,可以把它分享出去让更多的人看到。
版权声明:本文内容由网络用户投稿,版权归原作者所有,本站不拥有其著作权,亦不承担相应法律责任。如果您发现本站中有涉嫌抄袭或描述失实的内容,请联系我们jiasou666@gmail.com 处理,核实后本网站将在24小时内删除侵权内容。
发表评论
暂时没有评论,来抢沙发吧~