Oracle之SQL優化專題01-查看SQL執行計划的方法


在我2014年總結的“SQL Tuning 基礎概述”中,其實已經介紹了一些查看SQL執行計划的方法,但是不夠系統和全面,所以本次SQL優化專題,就首先要系統的介紹一下查看SQL執行計划的方法。
本文示例SQL為:

--set lines 1000 pages 1000
select a.empno, a.ename, b.dname, a.job, a.sal from emp a, dept b where a.deptno = b.deptno and empno = 7788;

1.explain plan for SQL;

通過explain plan for命令查看SQL的執行計划,這種方法SQL並不真實執行,一般適用於 上線前的SQL預審,尤其對DML語句,由於SQL不執行,不用擔心對生產數據造成影響。這種方法查看的執行計划 有Predicate Information,無Statistics,查看到的執行計划不一定真實 ,第三方工具PL/SQL Developer中F5查看執行計划也是調用的這個方法。 使用explain plan for命令查看SQL的執行計划:
explain plan for 
select a.empno, a.ename, b.dname, a.job, a.sal from emp a, dept b where a.deptno = b.deptno and empno = 7788;

select * from table(dbms_xplan.display);

示例如下:

JINGYU@jyzhao1 >explain plan for 
  2  select a.empno, a.ename, b.dname, a.job, a.sal from emp a, dept b where a.deptno = b.deptno and empno = 7788;

Explained.

Elapsed: 00:00:00.01
JINGYU@jyzhao1 >select * from table(dbms_xplan.display);

PLAN_TABLE_OUTPUT
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Plan hash value: 1123238657

---------------------------------------------------------------------------
| Id  | Operation          | Name | Rows  | Bytes | Cost (%CPU)| Time     |
---------------------------------------------------------------------------
|   0 | SELECT STATEMENT   |      |     1 |    74 |     6   (0)| 00:00:01 |
|*  1 |  HASH JOIN         |      |     1 |    74 |     6   (0)| 00:00:01 |
|*  2 |   TABLE ACCESS FULL| EMP  |     1 |    52 |     3   (0)| 00:00:01 |
|   3 |   TABLE ACCESS FULL| DEPT |     4 |    88 |     3   (0)| 00:00:01 |
---------------------------------------------------------------------------

Predicate Information (identified by operation id):
---------------------------------------------------

   1 - access("A"."DEPTNO"="B"."DEPTNO")
   2 - filter("EMPNO"=7788)

Note
-----
   - dynamic sampling used for this statement (level=2)

20 rows selected.

Elapsed: 00:00:00.03
JINGYU@jyzhao1 >

2.set autotrace

通過set autotrace查看SQL的執行計划,這種方法SQL真實執行(除set autot trace exp針對select語句也不執行,但對DML語句還是會執行的),這種方法查看的執行計划 有Predicate Information,有Statistics,查看的執行計划是准確的(注意:如果SQL中包含有綁定變量,那么用該方法所獲取到的執行計划,也有可能不是真實的) 。但由於SQL需要真實執行,所以對於有綁定變量值的SQL,還需要輸入對應的變量值才可以執行,比較麻煩。 使用set autotrace查看SQL的執行計划:
set autotrace on
select a.empno, a.ename, b.dname, a.job, a.sal from emp a, dept b where a.deptno = b.deptno and empno = 7788;
set autotrace off

示例如下:

JINGYU@jyzhao1 >set autotrace on
JINGYU@jyzhao1 >select a.empno, a.ename, b.dname, a.job, a.sal from emp a, dept b where a.deptno = b.deptno and empno = 7788;

     EMPNO ENAME      DNAME          JOB              SAL
---------- ---------- -------------- --------- ----------
      7788 SCOTT      RESEARCH       ANALYST         3000

Elapsed: 00:00:00.01

Execution Plan
----------------------------------------------------------
Plan hash value: 1123238657

---------------------------------------------------------------------------
| Id  | Operation          | Name | Rows  | Bytes | Cost (%CPU)| Time     |
---------------------------------------------------------------------------
|   0 | SELECT STATEMENT   |      |     1 |    74 |     6   (0)| 00:00:01 |
|*  1 |  HASH JOIN         |      |     1 |    74 |     6   (0)| 00:00:01 |
|*  2 |   TABLE ACCESS FULL| EMP  |     1 |    52 |     3   (0)| 00:00:01 |
|   3 |   TABLE ACCESS FULL| DEPT |     4 |    88 |     3   (0)| 00:00:01 |
---------------------------------------------------------------------------

Predicate Information (identified by operation id):
---------------------------------------------------

   1 - access("A"."DEPTNO"="B"."DEPTNO")
   2 - filter("EMPNO"=7788)

Note
-----
   - dynamic sampling used for this statement (level=2)


Statistics
----------------------------------------------------------
          7  recursive calls
          0  db block gets
         15  consistent gets
          0  physical reads
          0  redo size
        814  bytes sent via SQL*Net to client
        520  bytes received via SQL*Net from client
          2  SQL*Net roundtrips to/from client
          0  sorts (memory)
          0  sorts (disk)
          1  rows processed

JINGYU@jyzhao1 >set autotrace off
JINGYU@jyzhao1 >

3.dbms_xplan

dbms_xplan下面有很多函數可以調用,其中最常用的是display_cursor和display_awr函數,下面依次介紹。

3.1 dbms_xplan.display_cursor(null,null,'allstats last')

通過dbms_xplan.display_cursor(null,null,'allstats last')查看SQL的執行計划,SQL會真實執行(對應的缺點不再贅述),這種方法查看的執行計划 有Predicate Information,無Statistics,查看的執行計划是准確的,並且有每一步真實處理行數和時間。 使用dbms_xplan.display_cursor(null,null,'allstats last')查看SQL的執行計划:
--需要確認statistics_level設置為ALL,否則SQL語句第一個關鍵字后就需要加上/*+ gather_plan_statistics */,我習慣用前者
show parameter statistics_level(一般數據庫默認是TYPICAL)
alter session set statistics_level = ALL;
select a.empno, a.ename, b.dname, a.job, a.sal from emp a, dept b where a.deptno = b.deptno and empno = 7788;
select * from table(dbms_xplan.display_cursor(null,null,'allstats last'));

示例如下:

JINGYU@jyzhao1 >alter session set statistics_level = ALL;

Session altered.

JINGYU@jyzhao1 >select a.empno, a.ename, b.dname, a.job, a.sal from emp a, dept b where a.deptno = b.deptno and empno = 7788;

     EMPNO ENAME      DNAME          JOB              SAL
---------- ---------- -------------- --------- ----------
      7788 SCOTT      RESEARCH       ANALYST         3000

JINGYU@jyzhao1 >select * from table(dbms_xplan.display_cursor(null,null,'allstats last'));

PLAN_TABLE_OUTPUT
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
SQL_ID  39dv3d8jkzyuw, child number 1
-------------------------------------
select a.empno, a.ename, b.dname, a.job, a.sal from emp a, dept b where
a.deptno = b.deptno and empno = 7788

Plan hash value: 1123238657

----------------------------------------------------------------------------------------------------------------
| Id  | Operation          | Name | Starts | E-Rows | A-Rows |   A-Time   | Buffers |  OMem |  1Mem | Used-Mem |
----------------------------------------------------------------------------------------------------------------
|   0 | SELECT STATEMENT   |      |      1 |        |      1 |00:00:00.01 |       7 |       |       |          |
|*  1 |  HASH JOIN         |      |      1 |      1 |      1 |00:00:00.01 |       7 |  1214K|  1214K|  762K (0)|
|*  2 |   TABLE ACCESS FULL| EMP  |      1 |      1 |      1 |00:00:00.01 |       3 |       |       |          |
|   3 |   TABLE ACCESS FULL| DEPT |      1 |      4 |      4 |00:00:00.01 |       4 |       |       |          |
----------------------------------------------------------------------------------------------------------------

Predicate Information (identified by operation id):
---------------------------------------------------

   1 - access("A"."DEPTNO"="B"."DEPTNO")
   2 - filter("EMPNO"=7788)

Note
-----
   - dynamic sampling used for this statement (level=2)


26 rows selected.

JINGYU@jyzhao1 >

3.2 dbms_xplan.display_cursor('&sql_id',null,'advanced')

通過dbms_xplan.display_cursor('&sql_id',null,'advanced')查看SQL的執行計划,這種方法查看的執行計划 有Predicate Information,無Statistics,SQL是數據庫中之前真實執行過的,對應執行計划是之前SQL真實執行過的執行計划,是准確的。使用這種方法的前提是需要SQL的cursor沒有被刷出shared pool,否則查不到結果。 使用dbms_xplan.display_cursor('&sql_id',null,'advanced')查看SQL的執行計划:
--查詢sql_id
select sql_id, sql_text from v$sql where sql_text like 'select a.empno%';
39dv3d8jkzyuw
--根據查詢的sql_id查看執行計划
select * from table(dbms_xplan.display_cursor('&sql_id',null,'advanced'));
--附:函數DISPLAY_CURSOR的參數說明
FUNCTION DISPLAY_CURSOR RETURNS DBMS_XPLAN_TYPE_TABLE
 Argument Name                  Type                    In/Out Default?
 ------------------------------ ----------------------- ------ --------
 SQL_ID                         VARCHAR2                IN     DEFAULT
 CURSOR_CHILD_NO                NUMBER(38)              IN     DEFAULT
 FORMAT                         VARCHAR2                IN     DEFAULT

示例如下:

JINGYU@jyzhao1 >select * from table(dbms_xplan.display_cursor('&sql_id',null,'advanced'));
Enter value for sql_id: 39dv3d8jkzyuw
old   1: select * from table(dbms_xplan.display_cursor('&sql_id',null,'advanced'))
new   1: select * from table(dbms_xplan.display_cursor('39dv3d8jkzyuw',null,'advanced'))

PLAN_TABLE_OUTPUT
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
SQL_ID  39dv3d8jkzyuw, child number 0
-------------------------------------
select a.empno, a.ename, b.dname, a.job, a.sal from emp a, dept b where
a.deptno = b.deptno and empno = 7788

Plan hash value: 1123238657

---------------------------------------------------------------------------
| Id  | Operation          | Name | Rows  | Bytes | Cost (%CPU)| Time     |
---------------------------------------------------------------------------
|   0 | SELECT STATEMENT   |      |       |       |     6 (100)|          |
|*  1 |  HASH JOIN         |      |     1 |    74 |     6   (0)| 00:00:01 |
|*  2 |   TABLE ACCESS FULL| EMP  |     1 |    52 |     3   (0)| 00:00:01 |
|   3 |   TABLE ACCESS FULL| DEPT |     4 |    88 |     3   (0)| 00:00:01 |
---------------------------------------------------------------------------

Query Block Name / Object Alias (identified by operation id):
-------------------------------------------------------------

   1 - SEL$1
   2 - SEL$1 / A@SEL$1
   3 - SEL$1 / B@SEL$1

Outline Data
-------------

  /*+
      BEGIN_OUTLINE_DATA
      IGNORE_OPTIM_EMBEDDED_HINTS
      OPTIMIZER_FEATURES_ENABLE('11.2.0.4')
      DB_VERSION('11.2.0.4')
      ALL_ROWS
      OUTLINE_LEAF(@"SEL$1")
      FULL(@"SEL$1" "A"@"SEL$1")
      FULL(@"SEL$1" "B"@"SEL$1")
      LEADING(@"SEL$1" "A"@"SEL$1" "B"@"SEL$1")
      USE_HASH(@"SEL$1" "B"@"SEL$1")
      END_OUTLINE_DATA
  */

Predicate Information (identified by operation id):
---------------------------------------------------

   1 - access("A"."DEPTNO"="B"."DEPTNO")
   2 - filter("EMPNO"=7788)

Column Projection Information (identified by operation id):
-----------------------------------------------------------

   1 - (#keys=1) "EMPNO"[NUMBER,22], "A"."ENAME"[VARCHAR2,10],
       "A"."JOB"[VARCHAR2,9], "A"."SAL"[NUMBER,22], "B"."DNAME"[VARCHAR2,14]
   2 - "EMPNO"[NUMBER,22], "A"."ENAME"[VARCHAR2,10],
       "A"."JOB"[VARCHAR2,9], "A"."SAL"[NUMBER,22], "A"."DEPTNO"[NUMBER,22]
   3 - "B"."DEPTNO"[NUMBER,22], "B"."DNAME"[VARCHAR2,14]

Note
-----
   - dynamic sampling used for this statement (level=2)

SQL_ID  39dv3d8jkzyuw, child number 1
-------------------------------------
select a.empno, a.ename, b.dname, a.job, a.sal from emp a, dept b where
a.deptno = b.deptno and empno = 7788

Plan hash value: 1123238657

---------------------------------------------------------------------------
| Id  | Operation          | Name | Rows  | Bytes | Cost (%CPU)| Time     |
---------------------------------------------------------------------------
|   0 | SELECT STATEMENT   |      |       |       |     6 (100)|          |
|*  1 |  HASH JOIN         |      |     1 |    74 |     6   (0)| 00:00:01 |
|*  2 |   TABLE ACCESS FULL| EMP  |     1 |    52 |     3   (0)| 00:00:01 |
|   3 |   TABLE ACCESS FULL| DEPT |     4 |    88 |     3   (0)| 00:00:01 |
---------------------------------------------------------------------------

Query Block Name / Object Alias (identified by operation id):
-------------------------------------------------------------

   1 - SEL$1
   2 - SEL$1 / A@SEL$1
   3 - SEL$1 / B@SEL$1

Outline Data
-------------

  /*+
      BEGIN_OUTLINE_DATA
      IGNORE_OPTIM_EMBEDDED_HINTS
      OPTIMIZER_FEATURES_ENABLE('11.2.0.4')
      DB_VERSION('11.2.0.4')
      ALL_ROWS
      OUTLINE_LEAF(@"SEL$1")
      FULL(@"SEL$1" "A"@"SEL$1")
      FULL(@"SEL$1" "B"@"SEL$1")
      LEADING(@"SEL$1" "A"@"SEL$1" "B"@"SEL$1")
      USE_HASH(@"SEL$1" "B"@"SEL$1")
      END_OUTLINE_DATA
  */

Predicate Information (identified by operation id):
---------------------------------------------------

   1 - access("A"."DEPTNO"="B"."DEPTNO")
   2 - filter("EMPNO"=7788)

Column Projection Information (identified by operation id):
-----------------------------------------------------------

   1 - (#keys=1) "EMPNO"[NUMBER,22], "A"."ENAME"[VARCHAR2,10],
       "A"."JOB"[VARCHAR2,9], "A"."SAL"[NUMBER,22], "B"."DNAME"[VARCHAR2,14]
   2 - "EMPNO"[NUMBER,22], "A"."ENAME"[VARCHAR2,10],
       "A"."JOB"[VARCHAR2,9], "A"."SAL"[NUMBER,22], "A"."DEPTNO"[NUMBER,22]
   3 - "B"."DEPTNO"[NUMBER,22], "B"."DNAME"[VARCHAR2,14]

Note
-----
   - dynamic sampling used for this statement (level=2)

SQL_ID  39dv3d8jkzyuw, child number 2
-------------------------------------
select a.empno, a.ename, b.dname, a.job, a.sal from emp a, dept b where
a.deptno = b.deptno and empno = 7788

Plan hash value: 1123238657

---------------------------------------------------------------------------
| Id  | Operation          | Name | Rows  | Bytes | Cost (%CPU)| Time     |
---------------------------------------------------------------------------
|   0 | SELECT STATEMENT   |      |       |       |     6 (100)|          |
|*  1 |  HASH JOIN         |      |     1 |    74 |     6   (0)| 00:00:01 |
|*  2 |   TABLE ACCESS FULL| EMP  |     1 |    52 |     3   (0)| 00:00:01 |
|   3 |   TABLE ACCESS FULL| DEPT |     4 |    88 |     3   (0)| 00:00:01 |
---------------------------------------------------------------------------

Query Block Name / Object Alias (identified by operation id):
-------------------------------------------------------------

   1 - SEL$1
   2 - SEL$1 / A@SEL$1
   3 - SEL$1 / B@SEL$1

Outline Data
-------------

  /*+
      BEGIN_OUTLINE_DATA
      IGNORE_OPTIM_EMBEDDED_HINTS
      OPTIMIZER_FEATURES_ENABLE('11.2.0.4')
      DB_VERSION('11.2.0.4')
      ALL_ROWS
      OUTLINE_LEAF(@"SEL$1")
      FULL(@"SEL$1" "A"@"SEL$1")
      FULL(@"SEL$1" "B"@"SEL$1")
      LEADING(@"SEL$1" "A"@"SEL$1" "B"@"SEL$1")
      USE_HASH(@"SEL$1" "B"@"SEL$1")
      END_OUTLINE_DATA
  */

Predicate Information (identified by operation id):
---------------------------------------------------

   1 - access("A"."DEPTNO"="B"."DEPTNO")
   2 - filter("EMPNO"=7788)

Column Projection Information (identified by operation id):
-----------------------------------------------------------

   1 - (#keys=1) "EMPNO"[NUMBER,22], "A"."ENAME"[VARCHAR2,10],
       "A"."JOB"[VARCHAR2,9], "A"."SAL"[NUMBER,22], "B"."DNAME"[VARCHAR2,14]
   2 - "EMPNO"[NUMBER,22], "A"."ENAME"[VARCHAR2,10],
       "A"."JOB"[VARCHAR2,9], "A"."SAL"[NUMBER,22], "A"."DEPTNO"[NUMBER,22]
   3 - "B"."DEPTNO"[NUMBER,22], "B"."DNAME"[VARCHAR2,14]

Note
-----
   - dynamic sampling used for this statement (level=2)


177 rows selected.

JINGYU@jyzhao1 >

由於上面沒有指定CURSOR_CHILD_NO,所以全部都會顯示出來,當然也可以指定某個CURSOR_CHILD_NO,比如說:

select * from table(dbms_xplan.display_cursor('&sql_id',0,'advanced'));

這樣結果就只會顯示CURSOR_CHILD_NO=0的執行計划。

3.3 dbms_xplan.display_awr('&sql_id')

通過dbms_xplan.display_awr('&sql_id')查看SQL的執行計划,這種方法查看的執行計划 無Predicate Information,無Statistics,查看的執行計划是准確的。如果對應SQL沒有被抓取到AWR中,就查不到結果。 使用dbms_xplan.display_awr('&sql_id')查看SQL的執行計划:
--查詢sql_id
39dv3d8jkzyuw
--根據查詢的sql_id查看執行計划
select * from table(dbms_xplan.display_awr('&sql_id'));
--附:函數DISPLAY_AWR的參數說明
FUNCTION DISPLAY_AWR RETURNS DBMS_XPLAN_TYPE_TABLE
 Argument Name                  Type                    In/Out Default?
 ------------------------------ ----------------------- ------ --------
 SQL_ID                         VARCHAR2                IN
 PLAN_HASH_VALUE                NUMBER(38)              IN     DEFAULT
 DB_ID                          NUMBER(38)              IN     DEFAULT
 FORMAT                         VARCHAR2                IN     DEFAULT

示例如下:

JINGYU@jyzhao1 >select * from table(dbms_xplan.display_awr('&sql_id'));
Enter value for sql_id: 39dv3d8jkzyuw

PLAN_TABLE_OUTPUT
------------------------------------------------------------------------------
SQL_ID 39dv3d8jkzyuw
--------------------
select a.empno, a.ename, b.dname, a.job, a.sal from emp a, dept b where
a.deptno = b.deptno and empno = 7788

Plan hash value: 1123238657

---------------------------------------------------------------------------
| Id  | Operation          | Name | Rows  | Bytes | Cost (%CPU)| Time     |
---------------------------------------------------------------------------
|   0 | SELECT STATEMENT   |      |       |       |     6 (100)|          |
|   1 |  HASH JOIN         |      |     1 |    74 |     6   (0)| 00:00:01 |
|   2 |   TABLE ACCESS FULL| EMP  |     1 |    52 |     3   (0)| 00:00:01 |
|   3 |   TABLE ACCESS FULL| DEPT |     4 |    88 |     3   (0)| 00:00:01 |
---------------------------------------------------------------------------

Note
-----
   - dynamic sampling used for this statement (level=2)


20 rows selected.

JINGYU@jyzhao1 >

也可以加參數顯示更多的信息,比如可以顯示出Outline Data,但沒有Predicate Information,沒有Statistics:

JINGYU@jyzhao1 >select * from table(dbms_xplan.display_awr('&sql_id',NULL,NULL,'advanced'));
Enter value for sql_id: 39dv3d8jkzyuw

PLAN_TABLE_OUTPUT
------------------------------------------------------------------------------
SQL_ID 39dv3d8jkzyuw
--------------------
select a.empno, a.ename, b.dname, a.job, a.sal from emp a, dept b where
a.deptno = b.deptno and empno = 7788

Plan hash value: 1123238657

---------------------------------------------------------------------------
| Id  | Operation          | Name | Rows  | Bytes | Cost (%CPU)| Time     |
---------------------------------------------------------------------------
|   0 | SELECT STATEMENT   |      |       |       |     6 (100)|          |
|   1 |  HASH JOIN         |      |     1 |    74 |     6   (0)| 00:00:01 |
|   2 |   TABLE ACCESS FULL| EMP  |     1 |    52 |     3   (0)| 00:00:01 |
|   3 |   TABLE ACCESS FULL| DEPT |     4 |    88 |     3   (0)| 00:00:01 |
---------------------------------------------------------------------------

Query Block Name / Object Alias (identified by operation id):
-------------------------------------------------------------

   1 - SEL$1
   2 - SEL$1 / A@SEL$1
   3 - SEL$1 / B@SEL$1

Outline Data
-------------

  /*+
      BEGIN_OUTLINE_DATA
      IGNORE_OPTIM_EMBEDDED_HINTS
      OPTIMIZER_FEATURES_ENABLE('11.2.0.4')
      DB_VERSION('11.2.0.4')
      ALL_ROWS
      OUTLINE_LEAF(@"SEL$1")
      FULL(@"SEL$1" "A"@"SEL$1")
      FULL(@"SEL$1" "B"@"SEL$1")
      LEADING(@"SEL$1" "A"@"SEL$1" "B"@"SEL$1")
      USE_HASH(@"SEL$1" "B"@"SEL$1")
      END_OUTLINE_DATA
  */

Note
-----
   - dynamic sampling used for this statement (level=2)


44 rows selected.

JINGYU@jyzhao1 >

4.awrsqrpt

通過awrsqrpt查看SQL的執行計划,這種方式是導出SQL的awr報告,這種方法查看的執行計划 無Predicate Information,但有Statistics,並且同時包含SQL單次和整體的統計信息,查看的執行計划是准確的。 使用awrsqrpt查看SQL的執行計划: @?/rdbms/admin/awrsqrpt
Specify the Begin and End Snapshot Ids
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Enter value for begin_snap: 240
Begin Snapshot Id specified: 240

Enter value for end_snap: 244
End   Snapshot Id specified: 244



Specify the SQL Id
~~~~~~~~~~~~~~~~~~
Enter value for sql_id: 39dv3d8jkzyuw
SQL ID specified:  39dv3d8jkzyuw
...
Report written to awrsqlrpt_1_240_244.html

這種執行計划的顯示結果如下圖:

5.10046 event

通過10046 event的跟蹤文件查看SQL的執行計划,這種方法查看的 執行計划是准確的,語句中函數,遞歸調用都會被詳細列出,但沒有謂詞信息,而且這種方法獲取執行計划比較麻煩。 使用10046 event查看SQL的執行計划:
alter session set events '10046 trace name context forever, level 12';
select a.empno, a.ename, b.dname, a.job, a.sal from emp a, dept b where a.deptno = b.deptno and empno = 7788;
alter session set events '10046 trace name context off';
--使用tkprof美化10046 event的跟蹤文件,使其更易讀:
tkprof jyzhao1_ora_14139.trc jyzhao1_ora_14139.txt sys=no

示例如下:

JINGYU@jyzhao1 >alter session set events '10046 trace name context forever, level 12';

Session altered.

JINGYU@jyzhao1 >select a.empno, a.ename, b.dname, a.job, a.sal from emp a, dept b where a.deptno = b.deptno and empno = 7788;

     EMPNO ENAME      DNAME          JOB              SAL
---------- ---------- -------------- --------- ----------
      7788 SCOTT      RESEARCH       ANALYST         3000

JINGYU@jyzhao1 >alter session set events '10046 trace name context off';

Session altered.

--使用tkprof美化10046 event的跟蹤文件相關內容如下:

SQL ID: 39dv3d8jkzyuw Plan Hash: 1123238657

select a.empno, a.ename, b.dname, a.job, a.sal 
from
 emp a, dept b where a.deptno = b.deptno and empno = 7788


call     count       cpu    elapsed       disk      query    current        rows
------- ------  -------- ---------- ---------- ---------- ----------  ----------
Parse        1      0.01       0.02          0          8          0           0
Execute      1      0.00       0.00          0          0          0           0
Fetch        2      0.00       0.00          0          7          0           1
------- ------  -------- ---------- ---------- ---------- ----------  ----------
total        4      0.01       0.02          0         15          0           1

Misses in library cache during parse: 1
Optimizer mode: ALL_ROWS
Parsing user id: 91  
Number of plan statistics captured: 1

Rows (1st) Rows (avg) Rows (max)  Row Source Operation
---------- ---------- ----------  ---------------------------------------------------
         1          1          1  HASH JOIN  (cr=7 pr=0 pw=0 time=274 us cost=6 size=74 card=1)
         1          1          1   TABLE ACCESS FULL EMP (cr=3 pr=0 pw=0 time=67 us cost=3 size=52 card=1)
         4          4          4   TABLE ACCESS FULL DEPT (cr=4 pr=0 pw=0 time=15 us cost=3 size=88 card=4)


Elapsed times include waiting on following events:
  Event waited on                             Times   Max. Wait  Total Waited
  ----------------------------------------   Waited  ----------  ------------
  SQL*Net message to client                       2        0.00          0.00
  SQL*Net message from client                     2        6.55          6.56
********************************************************************************

關於閱讀這個tkprof美化后文件的方法可以參考MOS文檔:

  • TKProf Interpretation (9i and above) (文檔 ID 760786.1)

reference

關於這個“Oracle之SQL優化專題”的系列,緣起是聽了公司SQL優化專家團隊的分享內容,自己想通過實際操作理解並逐漸測試完善,在我個人之前的職業生涯規划中一直都偏重於運維方向的DBA,對SQL優化方面了解的很少,興趣也不高,是SQL優化專家團隊的這次分享讓我覺得SQL優化也是很有趣的,所以下決心從今天起單獨開一個專題,自己也能逐漸系統的學習相關知識並記錄下來。初步考慮該系列后續內容同時還會參考崔華的《基於Oracle的SQL優化》一書。最后感謝SQL優化專家團隊的leader勇哥和其團隊所有成員,是你們的這次分享讓我有了做這個專題的動力。


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