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【优化】COUNT(1)、COUNT(*)、COUNT(常量)、COUNT(主键)、COUNT(ROWID)等 ------------------------------------------------------------------------- 第二章 实验部分 第三章 参考文章 -------------------------------------------------------------------------

【优化】COUNT(1)、COUNT(*)、COUNT(常量)、COUNT(主键)、COUNT(ROWID)、COUNT(非空列)、COUNT(允许为空列)、COUNT(DISTINCT 列名)

【优化】COUNT(1)、COUNT(*)、COUNT(常量)、COUNT(主键)、COUNT(ROWID)等 ------------------------------------------------------------------------- 第二章 实验部分 第三章 参考文章 -------------------------------------------------------------------------

各位技术爱好者,看完本文后,你可以掌握如下的技能,也可以学到一些其它你所不知道的知识,~O(∩_∩)O~:

① COUNT(1)和COUNT(*)的区别(重点)

② 10046和10053的使用

③ “SELECT COUNT(列)”和“SELECT 列”在选择索引方面的区别

④ COUNT计数的优化

Tips:

③ 若网页文章代码格式有错乱,请下载pdf格式的文档来阅读。

④ 在本篇BLOG中,代码输出部分一般放在一行一列的表格中。

⑤ 本文适合于Oracle初中级人员阅读,Oracle大师请略过本文。

本文若有错误或不完善的地方请大家多多指正,您的批评指正是我写作的最大动力。

看了很多有关COUNT(1)和COUNT(*)的区别和效率,众说纷纭。最终还是决定自己动手实验一番。

项目

source db

db 类型

RAC

db version

11.2.0.3.0

db 存储

ASM

OS版本及kernel版本

RHEL 6.5

弄清楚COUNT(1)、COUNT(*)、COUNT(常量)、COUNT(主键)、COUNT(ROWID)、COUNT(非空列)、COUNT(允许为空列)、COUNT(DISTINCT 列名)之间的区别,以及它们之间的效率问题。

--创建1W行的表

DROP TABLE T_COUNT_LHR;

CREATE TABLE T_COUNT_LHR AS

SELECT OBJECT_ID,

       OBJECT_NAME,

       OWNER,

       DATA_OBJECT_ID,

       OBJECT_TYPE,

       LAST_DDL_TIME

  FROM DBA_OBJECTS D

WHERE D.OBJECT_ID IS NOT NULL

   AND D.OBJECT_NAME IS NOT NULL

   AND ROWNUM <= 10000;

--更新空值,

UPDATE T_COUNT_LHR t SET t.object_type='' WHERE Rownum<=5;

UPDATE T_COUNT_LHR t SET t.LAST_DDL_TIME=T.LAST_DDL_TIME+ROWNUM;

UPDATE T_COUNT_LHR t SET t.LAST_DDL_TIME='' WHERE Rownum<=1;

COMMIT;

--添加主键、非空约束、唯一索引、普通索引

ALTER TABLE T_COUNT_LHR ADD CONSTRAINT PK_OBJECT_ID PRIMARY KEY(OBJECT_ID);

ALTER TABLE T_COUNT_LHR MODIFY OBJECT_NAME NOT NULL;

CREATE UNIQUE INDEX IDX_LDT ON T_COUNT_LHR(LAST_DDL_TIME);

CREATE  INDEX IDX_DATA_OBJECT_ID ON T_COUNT_LHR(DATA_OBJECT_ID);

CREATE  INDEX IDX_DATA_OWNER ON T_COUNT_LHR(OWNER);

ALTER TABLE T_COUNT_LHR MODIFY OWNER NOT NULL;

--收集统计信息

EXEC dbms_stats.gather_table_stats(USER,'T_COUNT_LHR');

SELECT d.COLUMN_NAME,d.DATA_TYPE,d.NUM_NULLS,d.NUM_DISTINCT,d.LAST_ANALYZED FROM cols d WHERE d.TABLE_NAME='T_COUNT_LHR';

【优化】COUNT(1)、COUNT(*)、COUNT(常量)、COUNT(主键)、COUNT(ROWID)等 ------------------------------------------------------------------------- 第二章 实验部分 第三章 参考文章 -------------------------------------------------------------------------

表的信息如下所示:

列名

是否主键

是否允许为空

是否有索引

数据类型

空值的行数

不同值的行数

总行数

OBJECT_ID

Y

N

唯一索引

NUMBER

10000

OBJECT_NAME

VARCHAR2

8112

OWNER

普通索引(IDX_OWNER)

5

DATA_OBJECT_ID

普通索引(IDX_DATA_OBJECT_ID)

7645

2318

OBJECT_TYPE

20

LAST_DDL_TIME

唯一索引(IDX_LDT)

DATE

1

9999

需要统计如下几种情况:

SELECT COUNT(1) FROM T_COUNT_LHR;--走索引

SELECT COUNT(*) FROM T_COUNT_LHR;--走索引

SELECT COUNT(ROWID) FROM T_COUNT_LHR; --走索引

SELECT COUNT(OBJECT_ID) FROM T_COUNT_LHR; --走索引

SELECT COUNT(OBJECT_NAME) FROM T_COUNT_LHR;--走索引

SELECT COUNT(OWNER) FROM T_COUNT_LHR D;--走索引

SELECT COUNT(D.DATA_OBJECT_ID) FROM T_COUNT_LHR D; --走索引

SELECT COUNT(D.LAST_DDL_TIME) FROM T_COUNT_LHR D;--走索引

SELECT COUNT(D.LAST_DDL_TIME) FROM T_COUNT_LHR D WHERE D.LAST_DDL_TIME IS NOT NULL;--走索引

SELECT D.LAST_DDL_TIME FROM T_COUNT_LHR D; --不走索引

SELECT D.LAST_DDL_TIME FROM T_COUNT_LHR D WHERE D.LAST_DDL_TIME IS NOT NULL;--走索引

SELECT COUNT(DISTINCT DATA_OBJECT_ID) FROM T_COUNT_LHR D;--不走索引

SELECT COUNT(DISTINCT OWNER) FROM T_COUNT_LHR D;--走索引

SELECT COUNT(DISTINCT DATA_OBJECT_ID) FROM T_COUNT_LHR D WHERE DATA_OBJECT_ID IS NOT NULL ;--走索引

介绍

SQL命令

执行计划

返回行数

COUNT(1)和COUNT(常量)是一样的,SELECT COUNT(*) "COUNT(1)" FROM "LHR"."T_COUNT_LHR" "T_COUNT_LHR"

SELECT COUNT(1) FROM T_COUNT_LHR;

Plan hash value: 1265209789

|-----------------------------------------------------------------------------

| Id  | Operation             | Name         | Rows  | Cost (%CPU)| Time     |

|   0 | SELECT STATEMENT      |              |     1 |     7   (0)| 00:00:01 |

|   1 |  SORT AGGREGATE       |              |     1 |            |          |

|   2 |   INDEX FAST FULL SCAN| PK_OBJECT_ID | 10000 |     7   (0)| 00:00:01 |

SELECT COUNT(*) "COUNT(*)" FROM "LHR"."T_COUNT_LHR" "T_COUNT_LHR"

SELECT COUNT(*) FROM T_COUNT_LHR;

SELECT COUNT("T_COUNT_LHR".ROWID) "COUNT(ROWID)" FROM "LHR"."T_COUNT_LHR" "T_COUNT_LHR"

SELECT COUNT(ROWID) FROM T_COUNT_LHR;

|-------------------------------------------------------------------------------------

| Id  | Operation             | Name         | Rows  | Bytes | Cost (%CPU)| Time     |

|   0 | SELECT STATEMENT      |              |     1 |    12 |     7   (0)| 00:00:01 |

|   1 |  SORT AGGREGATE       |              |     1 |    12 |            |          |

|   2 |   INDEX FAST FULL SCAN| PK_OBJECT_ID | 10000 |   117K|     7   (0)| 00:00:01 |

SELECT COUNT(*) "COUNT(OBJECT_ID)" FROM "LHR"."T_COUNT_LHR" "T_COUNT_LHR"

SELECT COUNT(OBJECT_ID) FROM T_COUNT_LHR;

SELECT COUNT(*) "COUNT(OBJECT_NAME)" FROM "LHR"."T_COUNT_LHR" "T_COUNT_LHR"

SELECT COUNT(OBJECT_NAME) FROM T_COUNT_LHR;

OWNER列含有索引,非空列,选择主键索引

SELECT COUNT(OWNER) FROM T_COUNT_LHR D;

DATA_OBJECT_ID列允许为空,含有普通索引

SELECT COUNT(D.DATA_OBJECT_ID) FROM T_COUNT_LHR D;

Plan hash value: 2404962198

|-------------------------------------------------------------------------------------------

| Id  | Operation             | Name               | Rows  | Bytes | Cost (%CPU)| Time     |

|   0 | SELECT STATEMENT      |                    |     1 |     2 |     3   (0)| 00:00:01 |

|   1 |  SORT AGGREGATE       |                    |     1 |     2 |            |          |

|   2 |   INDEX FAST FULL SCAN| IDX_DATA_OBJECT_ID | 10000 | 20000 |     3   (0)| 00:00:01 |

2355

注意,COUNT(列)计算的是列值为非空的行数

SELECT COUNT(D.LAST_DDL_TIME) FROM T_COUNT_LHR D;

Plan hash value: 887614938

|--------------------------------------------------------------------------------

| Id  | Operation             | Name    | Rows  | Bytes | Cost (%CPU)| Time     |

|   0 | SELECT STATEMENT      |         |     1 |     8 |     9   (0)| 00:00:01 |

|   1 |  SORT AGGREGATE       |         |     1 |     8 |            |          |

|   2 |   INDEX FAST FULL SCAN| IDX_LDT | 10000 | 80000 |     9   (0)| 00:00:01 |

SELECT COUNT(D.LAST_DDL_TIME) FROM T_COUNT_LHR D WHERE D.LAST_DDL_TIME IS NOT NULL;

|*  2 |   INDEX FAST FULL SCAN| IDX_LDT |  9999 | 79992 |     9   (0)| 00:00:01 |

由于列中存在空值,所以不会选择索引。加上IS NOT NULL就可以选择索引了。

SELECT D.LAST_DDL_TIME FROM T_COUNT_LHR D;

Plan hash value: 2392171920

| Id  | Operation         | Name        | Rows  | Bytes | Cost (%CPU)| Time     |

|   0 | SELECT STATEMENT  |             | 10000 | 80000 |    22   (0)| 00:00:01 |

|   1 |  TABLE ACCESS FULL| T_COUNT_LHR | 10000 | 80000 |    22   (0)| 00:00:01 |

SELECT D.LAST_DDL_TIME FROM T_COUNT_LHR D WHERE D.LAST_DDL_TIME IS NOT NULL;

Plan hash value: 2419516343

|-------------------------------------------------------------------------------

| Id  | Operation            | Name    | Rows  | Bytes | Cost (%CPU)| Time     |

|   0 | SELECT STATEMENT     |         |  9999 | 79992 |     9   (0)| 00:00:01 |

|*  1 |  INDEX FAST FULL SCAN| IDX_LDT |  9999 | 79992 |     9   (0)| 00:00:01 |

DISTINCT允许为空列不会选择索引,而DISTINCT非空列会选择索引

SELECT COUNT(DISTINCT DATA_OBJECT_ID) FROM T_COUNT_LHR D;

Plan hash value: 3258478826

|-----------------------------------------------------------------------------------

| Id  | Operation            | Name        | Rows  | Bytes | Cost (%CPU)| Time     |

|   0 | SELECT STATEMENT     |             |     1 |    13 |    23   (5)| 00:00:01 |

|   1 |  SORT AGGREGATE      |             |     1 |    13 |            |          |

|   2 |   VIEW               | VW_DAG_0    |  2318 | 30134 |    23   (5)| 00:00:01 |

|   3 |    HASH GROUP BY     |             |  2318 |  4636 |    23   (5)| 00:00:01 |

|   4 |     TABLE ACCESS FULL| T_COUNT_LHR | 10000 | 20000 |    22   (0)| 00:00:01 |

SELECT COUNT(DISTINCT OWNER) FROM T_COUNT_LHR D;

Plan hash value: 4008695099

|-----------------------------------------------------------------------------------------

| Id  | Operation               | Name           | Rows  | Bytes | Cost (%CPU)| Time     |

|   0 | SELECT STATEMENT        |                |     1 |    17 |     9  (12)| 00:00:01 |

|   1 |  SORT AGGREGATE         |                |     1 |    17 |            |          |

|   2 |   VIEW                  | VW_DAG_0       |     5 |    85 |     9  (12)| 00:00:01 |

|   3 |    HASH GROUP BY        |                |     5 |    30 |     9  (12)| 00:00:01 |

|   4 |     INDEX FAST FULL SCAN| IDX_DATA_OWNER | 10000 | 60000 |     8   (0)| 00:00:01 |

alter session set events '10046 trace name context forever, level 12';

alter system flush buffer_cache;

alter system flush shared_pool;

alter session set events '10046 trace name context OFF';

select value from v$diag_info where name like '%Default%';

exit

tkprof orclasm_ora_13825.trc orclasm_ora_13825.out

alter session set sql_trace=true;

alter session set sql_trace=false;

********************************************************************************

count    = number of times OCI procedure was executed

cpu      = cpu time in seconds executing

elapsed  = elapsed time in seconds executing

disk     = number of physical reads of buffers from disk

query    = number of buffers gotten for consistent read

current  = number of buffers gotten in current mode (usually for update)

rows     = number of rows processed by the fetch or execute call

SQL ID: g9rksvy7gkdmj Plan Hash: 1265209789

SELECT COUNT(*)

FROM

T_COUNT_LHR

call     count       cpu    elapsed       disk      query    current        rows

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

Parse        1      0.00       0.00          0          0          0           0

Execute      1      0.00       0.00          0          0          0           0

Fetch        2      0.00       0.55         22         25          0           1

total        4      0.01       0.56         22         25          0           1

Misses in library cache during parse: 1

Optimizer mode: ALL_ROWS

Parsing user id: 90 

Number of plan statistics captured: 1

Rows (1st) Rows (avg) Rows (max)  Row Source Operation

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

         1          1          1  SORT AGGREGATE (cr=25 pr=22 pw=0 time=552894 us)

     10000      10000      10000   INDEX FAST FULL SCAN PK_OBJECT_ID (cr=25 pr=22 pw=0 time=2502 us cost=7 size=0 card=10000)(object id 159543)

SQL ID: 4abkxq9x7uamj Plan Hash: 1265209789

SELECT COUNT(1)

Parse        1      0.00       0.01          0          0          0           0

Fetch        2      0.00       0.00         22         25          0           1

total        4      0.00       0.01         22         25          0           1

         1          1          1  SORT AGGREGATE (cr=25 pr=22 pw=0 time=5934 us)

     10000      10000      10000   INDEX FAST FULL SCAN PK_OBJECT_ID (cr=25 pr=22 pw=0 time=2469 us cost=7 size=0 card=10000)(object id 159543)

SQL ID: 4tm3jwzff8ub8 Plan Hash: 1265209789

SELECT COUNT(ROWID)

Fetch        2      0.00       0.01         22         25          0           1

         1          1          1  SORT AGGREGATE (cr=25 pr=22 pw=0 time=11264 us)

     10000      10000      10000   INDEX FAST FULL SCAN PK_OBJECT_ID (cr=25 pr=22 pw=0 time=762 us cost=7 size=120000 card=10000)(object id 159543)

alter session set events '10053 trace name context forever, level 12';

alter session set events '10053 trace name context OFF';

搜索关键词“Final”、“Starting”:

Final query after transformations:******* UNPARSED QUERY IS *******

kkoqbc: optimizing query block SEL$1 (#0)

        :

    call(in-use=1216, alloc=16344), compile(in-use=58000, alloc=58544), execution(in-use=2480, alloc=4032)

kkoqbc-subheap (create addr=0x7f9950a9fb58)

****************

QUERY BLOCK TEXT

SELECT COUNT(*) FROM T_COUNT_LHR

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

QUERY BLOCK SIGNATURE

signature (optimizer): qb_name=SEL$1 nbfros=1 flg=0

  fro(0): flg=0 objn=159542 hint_alias="T_COUNT_LHR"@"SEL$1"

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

SYSTEM STATISTICS INFORMATION

  Using NOWORKLOAD Stats

  CPUSPEEDNW: 1752 millions instructions/sec (default is 100)

  IOTFRSPEED: 4096 bytes per millisecond (default is 4096)

  IOSEEKTIM:  10 milliseconds (default is 10)

  MBRC:       NO VALUE blocks (default is 8)

***************************************

BASE STATISTICAL INFORMATION

***********************

Table Stats::

  Table: T_COUNT_LHR  Alias: T_COUNT_LHR

    #Rows: 10000  #Blks:  75  AvgRowLen:  44.00  ChainCnt:  0.00

Index Stats::

  Index: IDX_DATA_OBJECT_ID  Col#: 4

    LVLS: 1  #LB: 5  #DK: 2318  LB/K: 1.00  DB/K: 1.00  CLUF: 86.00

  Index: IDX_DATA_OWNER  Col#: 3

    LVLS: 1  #LB: 23  #DK: 5  LB/K: 4.00  DB/K: 28.00  CLUF: 141.00

  Index: IDX_LDT  Col#: 6

    LVLS: 1  #LB: 26  #DK: 9999  LB/K: 1.00  DB/K: 1.00  CLUF: 377.00

  Index: PK_OBJECT_ID  Col#: 1

    LVLS: 1  #LB: 20  #DK: 10000  LB/K: 1.00  DB/K: 1.00  CLUF: 76.00

    Access path analysis for T_COUNT_LHR

SINGLE TABLE ACCESS PATH

  Single Table Cardinality Estimation for T_COUNT_LHR[T_COUNT_LHR]

    Card: Original: 10000.000000  Rounded: 10000  Computed: 10000.00  Non Adjusted: 10000.00

  Access Path: TableScan

    Cost:  22.10  Resp: 22.10  Degree: 0

      Cost_io: 22.00  Cost_cpu: 2034108

      Resp_io: 22.00  Resp_cpu: 2034108

  Access Path: index (index (FFS))

    Index: IDX_DATA_OWNER

    resc_io: 8.00  resc_cpu: 1363793

    ix_sel: 0.000000  ix_sel_with_filters: 1.000000

  Access Path: index (FFS)

    Cost:  8.06  Resp: 8.06  Degree: 1

      Cost_io: 8.00  Cost_cpu: 1363793

      Resp_io: 8.00  Resp_cpu: 1363793

    Index: PK_OBJECT_ID

    resc_io: 7.00  resc_cpu: 1342429

    Cost:  7.06  Resp: 7.06  Degree: 1

      Cost_io: 7.00  Cost_cpu: 1342429

      Resp_io: 7.00  Resp_cpu: 1342429

  Access Path: index (FullScan)

    resc_io: 24.00  resc_cpu: 2170915

    ix_sel: 1.000000  ix_sel_with_filters: 1.000000

    Cost: 24.10  Resp: 24.10  Degree: 1

    resc_io: 21.00  resc_cpu: 2149550

    Cost: 21.10  Resp: 21.10  Degree: 1

  ****** trying bitmap/domain indexes ******

    Cost: 24.10  Resp: 24.10  Degree: 0

    Cost: 21.10  Resp: 21.10  Degree: 0

  ****** finished trying bitmap/domain indexes ******

******** Begin index join costing ********

  Bitmap nodes:

    Used PK_OBJECT_ID

      Cost = 26.377821, sel = 1.000000

******** End index join costing ********

  Best:: AccessPath: IndexFFS

  Index: PK_OBJECT_ID

         Cost: 7.06  Degree: 1  Resp: 7.06  Card: 10000.00  Bytes: 0

。。。。。。。。。。。。。。

Starting SQL statement dump

user_id=90 user_name=LHR module=SQL*Plus action=

sql_id=g9rksvy7gkdmj plan_hash_value=1265209789 problem_type=3

----- Current SQL Statement for this session (sql_id=g9rksvy7gkdmj) -----

sql_text_length=33

sql=SELECT COUNT(*) FROM T_COUNT_LHR

----- Explain Plan Dump -----

----- Plan Table -----

============

Plan Table

---------------------------------------------+-----------------------------------+

| Id  | Operation              | Name        | Rows  | Bytes | Cost  | Time      |

| 0   | SELECT STATEMENT       |             |       |       |     7 |           |

| 1   |  SORT AGGREGATE        |             |     1 |       |       |           |

| 2   |   INDEX FAST FULL SCAN | PK_OBJECT_ID|   10K |       |     7 |  00:00:01 |

Predicate Information:

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

Content of other_xml column

===========================

  db_version     : 11.2.0.3

  parse_schema   : LHR

  plan_hash      : 1265209789

  plan_hash_2    : 3881728982

  Outline Data:

  /*+

    BEGIN_OUTLINE_DATA

      IGNORE_OPTIM_EMBEDDED_HINTS

      OPTIMIZER_FEATURES_ENABLE('11.2.0.3')

      DB_VERSION('11.2.0.3')

      OPT_PARAM('star_transformation_enabled' 'true')

      ALL_ROWS

      OUTLINE_LEAF(@"SEL$1")

      INDEX_FFS(@"SEL$1" "T_COUNT_LHR"@"SEL$1" ("T_COUNT_LHR"."OBJECT_ID"))

    END_OUTLINE_DATA

  */

  。。。。。。。。。。。。。。。。

====================== END SQL Statement Dump ======================

SELECT COUNT(*) "COUNT(1)" FROM "LHR"."T_COUNT_LHR" "T_COUNT_LHR"

    call(in-use=1240, alloc=16344), compile(in-use=58312, alloc=58544), execution(in-use=2480, alloc=4032)

SELECT COUNT(1) FROM T_COUNT_LHR

Access path analysis for T_COUNT_LHR

。。。。。。。。。。。。。。。。。

sql_id=4abkxq9x7uamj plan_hash_value=1265209789 problem_type=3

----- Current SQL Statement for this session (sql_id=4abkxq9x7uamj) -----

sql=SELECT COUNT(1) FROM T_COUNT_LHR

******************************************

----- Current SQL Statement for this session (sql_id=4tm3jwzff8ub8) -----

SELECT COUNT(ROWID) FROM T_COUNT_LHR

*******************************************

。。。。。。。。。

    call(in-use=1240, alloc=16344), compile(in-use=58224, alloc=62688), execution(in-use=2480, alloc=4032)

sql_id=4tm3jwzff8ub8 plan_hash_value=1265209789 problem_type=3

sql_text_length=37

sql=SELECT COUNT(ROWID) FROM T_COUNT_LHR

| 1   |  SORT AGGREGATE        |             |     1 |    12 |       |           |

| 2   |   INDEX FAST FULL SCAN | PK_OBJECT_ID|   10K |  117K |     7 |  00:00:01 |

。。。。。。。。。。。。

其实在2014年的时候,小麦苗发布过一篇博客(http://blog.itpub.net/26736162/viewspace-1329880/),里边对这个问题有详细的实验。今天就把这个实验搬过来吧。

drop table t  purge;

Create Table t  nologging As select *  from    dba_objects d ;

create   index ind_objectname on  t(object_name); 

set autotrace traceonly;  

select t.object_name from t where t.object_name ='T';        --走索引

select t.object_name from t where UPPER(t.object_name) ='T';       --不走索引

select t.object_name from t where UPPER(t.object_name) ='T' and t.object_name IS NOT NULL ;           --走索引  (INDEX FAST FULL SCAN)

select t.object_name from t where UPPER(t.object_name) ||'AAA' ='T'||'AAA' and t.object_name IS NOT NULL ;     --走索引  (INDEX FAST FULL SCAN)

select t.object_name,t.owner from t where UPPER(t.object_name) ||'AAA' ='T'||'AAA' and t.object_name IS NOT NULL ;     --不走索引

C:\Users\xiaomaimiao>sqlplus lhr/lhr@orclasm

SQL*Plus: Release 11.2.0.1.0 Production on 星期三 11月 12 10:52:29 2014

Copyright (c) 1982, 2010, Oracle.  All rights reserved.

连接到:

Oracle Database 11g Enterprise Edition Release 11.2.0.3.0 - 64bit Production

With the Partitioning, Automatic Storage Management, OLAP, Data Mining

and Real Application Testing options

SQL>

SQL> drop table t  purge;

表已删除。

SQL> Create Table t  nologging As select *  from    dba_objects d ;

表已创建。

SQL>  create   index ind_objectname on  t(object_name);

索引已创建。

---- t表所有列均可以为空

SQL> desc t

Name   Null?    Type

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

OWNER    VARCHAR2(30)

OBJECT_NAME    VARCHAR2(128)

SUBOBJECT_NAME     VARCHAR2(30)

OBJECT_ID    NUMBER

DATA_OBJECT_ID     NUMBER

OBJECT_TYPE    VARCHAR2(19)

CREATED        DATE

LAST_DDL_TIME    DATE

TIMESTAMP    VARCHAR2(19)

STATUS         VARCHAR2(7)

TEMPORARY    VARCHAR2(1)

GENERATED    VARCHAR2(1)

SECONDARY    VARCHAR2(1)

NAMESPACE    NUMBER

EDITION_NAME    VARCHAR2(30)

SQL>  set autotrace traceonly;

SQL>  select t.object_name from t where t.object_name ='T';

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

Plan hash value: 4280870634

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

| Id  | Operation        | Name           | Rows  | Bytes | Cost (%CPU)| Time     |

|   0 | SELECT STATEMENT |                |     1 |    66 |     3   (0)| 00:00:01 |

|*  1 | INDEX RANGE SCAN| IND_OBJECTNAME |     1 |    66 |     3   (0)| 00:00:01 |

Predicate Information (identified by operation id):

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

   1 - access("T"."OBJECT_NAME"='T')

Note

-----

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

   - SQL plan baseline "SQL_PLAN_503ygb00mbj6k165e82cd" used for this statement

统计信息

         34  recursive calls

         43  db block gets

        127  consistent gets

        398  physical reads

      15476  redo size

        349  bytes sent via SQL*Net to client

        359  bytes received via SQL*Net from client

          2  SQL*Net roundtrips to/from client

          0  sorts (memory)

          0  sorts (disk)

          1  rows processed

SQL>  select t.object_name from t where UPPER(t.object_name) ='T';

Plan hash value: 1601196873

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

| Id  | Operation         | Name | Rows  | Bytes | Cost (%CPU)| Time     |

|   0 | SELECT STATEMENT  |      |    12 |   792 |   305   (1)| 00:00:04 |

|*  1 | TABLE ACCESS FULL| T    |    12 |   792 |   305   (1)| 00:00:04 |

   1 - filter(UPPER("T"."OBJECT_NAME")='T')

   - SQL plan baseline "SQL_PLAN_9p76pys5gdb2b94ecae5c" used for this statement

         29  recursive calls

       1209  consistent gets

       1092  physical reads

      15484  redo size

SQL>  select t.object_name from t where UPPER(t.object_name) ='T' and t.object_name IS NOT NULL ;

Plan hash value: 3379870158

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

| Id  | Operation            | Name           | Rows  | Bytes | Cost (%CPU)| Time     |

|   0 | SELECT STATEMENT     |                |    51 |  3366 |   110   (1)| 00:00:02 |

|*  1 |  INDEX FAST FULL SCAN| IND_OBJECTNAME |    51 |  3366 |   110   (1)| 00:00:02 |

   1 - filter("T"."OBJECT_NAME" IS NOT NULL AND UPPER("T"."OBJECT_NAME")='T')

   - SQL plan baseline "SQL_PLAN_czkarb71kthws18b0c28f" used for this statement

        505  consistent gets

        384  physical reads

      15612  redo size

SQL>  select t.object_name,t.owner from t where UPPER(t.object_name) ||'AAA' ='T'||'AAA' and t.object_name IS NOT NULL ;

|   0 | SELECT STATEMENT  |      |    51 |  4233 |   304   (1)| 00:00:04 |

|*  1 | TABLE ACCESS FULL| T    |    51 |  4233 |   304   (1)| 00:00:04 |

   1 - filter("T"."OBJECT_NAME" IS NOT NULL AND

              UPPER("T"."OBJECT_NAME")||'AAA'='TAAA')

   - SQL plan baseline "SQL_PLAN_au9a1c4hwdtb894ecae5c" used for this statement

         30  recursive calls

         44  db block gets

       1210  consistent gets

       1091  physical reads

      15748  redo size

        408  bytes sent via SQL*Net to client

SQL> select t.object_name from t where UPPER(t.object_name) ||'AAA' ='T'||'AAA' and t.object_name IS NOT NULL ;

   - SQL plan baseline "SQL_PLAN_1gu36rnh3s2a318b0c28f" used for this statement

         28  recursive calls

          6  physical reads

      15544  redo size

COUNT()函数是Oracle中的聚合函数,用于统计结果集的行数。其语法形式如下所示:

【优化】COUNT(1)、COUNT(*)、COUNT(常量)、COUNT(主键)、COUNT(ROWID)等 ------------------------------------------------------------------------- 第二章 实验部分 第三章 参考文章 -------------------------------------------------------------------------

COUNT({ * | [ DISTINCT | ALL ] expr }) [ OVER (analytic_clause) ]

COUNT returns the number of rows returned by the query. You can use it as an aggregate or analytic function.

If you specify DISTINCT, then you can specify only the query_partition_clause of the analytic_clause. The order_by_clause and windowing_clause are not allowed.

If you specify expr, then COUNT returns the number of rows where expr is not null. You can count either all rows, or only distinct values of expr.

If you specify the asterisk (*), then this function returns all rows, including duplicates and nulls. COUNT never returns null.

我们把COUNT的使用情况分为以下3类:

① COUNT(1)、COUNT(*)、COUNT(常量)、COUNT(主键)、COUNT(ROWID)、COUNT(非空列)

② COUNT(允许为空列)

③ COUNT(DISTINCT 列名)

下面分别从查询结果和效率方面做个比较:

(一)结果区别

① COUNT(1)、COUNT(*)、COUNT(ROWID)、COUNT(常量)、COUNT(主键)、COUNT(非空列)这几种方式统计的行数是表中所有存在的行的总数,包括值为NULL的行和非空行。所以,这几种方式的执行结果相同。这里的常量可以为数字或字符串,例如,COUNT(2)、COUNT(333)、COUNT('x')、COUNT('xiaomaimiao')。需要注意的是:这里的COUNT(1)中的“1”并不表示表中的第一列,它其实是一个表达式,可以换成任意数字或字符或表达式。

② COUNT(允许为空列) 这种方式统计的行数不会包括字段值为NULL的行。

③ COUNT(DISTINCT 列名) 得到的结果是除去值为NULL和重复数据后的结果。

④ “SELECT COUNT(''),COUNT(NULL) FROM T_COUNT_LHR;”返回0行。

(二)效率、索引

① 如果存在主键或非空列上的索引,那么COUNT(1)、COUNT(*)、COUNT(ROWID)、COUNT(常量)、COUNT(主键)、COUNT(非空列)会首先选择主键上的索引快速全扫描(INDEX FAST FULL SCAN)。若主键不存在则会选择非空列上的索引。若非空列上没有索引则肯定走全表扫描(TABLE ACCESS FULL)。其中,COUNT(ROWID)在走索引的时候比其它几种方式要慢。通过10053事件可以看到这几种方式除了COUNT(ROWID)之外,其它最终都会转换成COUNT(*)的方式来执行。

② 对于COUNT(COL1)来说,只要列字段上有索引则会选择索引快速全扫描(INDEX FAST FULL SCAN)。而对于“SELECT COL1”来说,除非列上有NOT NULL约束,否则执行计划会选择全表扫描。

③ COUNT(DISTINCT 列名) 若列上有索引,且有非空约束或在WHERE子句中使用IS NOT NULL,则会选择索引快速全扫描。其余情况选择全表扫描。

统计记录条数,如何才能最快?xb_audit_ddl_lhr表有2303262记录。

(一)全表扫描:

LHR@orclasm > set line 9999

LHR@orclasm > set autot on

LHR@orclasm > set timing on

LHR@orclasm > set time on

12:34:01 LHR@orclasm >

12:35:20 LHR@orclasm > SELECT /*+full(t)*/ COUNT(*) FROM xb_audit_ddl_lhr t;

  COUNT(*)

----------

   2303262

Elapsed: 00:01:16.53

Execution Plan

Plan hash value: 3725780224

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

| Id  | Operation            | Name             | Rows  | Cost (%CPU)| Time     | Pstart| Pstop |

|   0 | SELECT STATEMENT     |                  |     1 | 26629   (1)| 00:05:20 |       |       |

|   1 |  SORT AGGREGATE      |                  |     1 |            |          |       |       |

|   2 |   PARTITION RANGE ALL|                  |  2247K| 26629   (1)| 00:05:20 |     1 |1048575|

|   3 |    PARTITION HASH ALL|                  |  2247K| 26629   (1)| 00:05:20 |     1 |     5 |

|   4 |     TABLE ACCESS FULL| XB_AUDIT_DDL_LHR |  2247K| 26629   (1)| 00:05:20 |     1 |1048575|

Statistics

          1  recursive calls

         57  db block gets

      92274  consistent gets

      92012  physical reads

          0  redo size

        529  bytes sent via SQL*Net to client

        519  bytes received via SQL*Net from client

12:36:47 LHR@orclasm >

(二)主键索引

12:38:31 LHR@orclasm > SELECT /*+index(SYS_C0011358)*/ COUNT(*) FROM xb_audit_ddl_lhr t;

Elapsed: 00:00:00.24

Plan hash value: 2548021478

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

|   0 | SELECT STATEMENT      |              |     1 |  3114   (1)| 00:00:38 |

|   2 |   INDEX FAST FULL SCAN| SYS_C0011358 |  2247K|  3114   (1)| 00:00:38 |

          0  recursive calls

          2  db block gets

      12283  consistent gets

      12220  physical reads

(三)位图索引

CREATE BITMAP INDEX IND_xb_operation  ON xb_audit_ddl_lhr(operation) local;

12:41:44 LHR@orclasm > SELECT /*+index(IND_xb_operation)*/ COUNT(*) FROM xb_audit_ddl_lhr t;

Elapsed: 00:00:00.00

Plan hash value: 1101410508

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

| Id  | Operation                       | Name             | Rows  | Cost (%CPU)| Time     | Pstart| Pstop |

|   0 | SELECT STATEMENT                |                  |     1 |   114   (0)| 00:00:02 |       |       |

|   1 |  SORT AGGREGATE                 |                  |     1 |            |          |       |       |

|   2 |   PARTITION RANGE ALL           |                  |  2247K|   114   (0)| 00:00:02 |     1 |1048575|

|   3 |    PARTITION HASH ALL           |                  |  2247K|   114   (0)| 00:00:02 |     1 |     5 |

|   4 |     BITMAP CONVERSION COUNT     |                  |  2247K|   114   (0)| 00:00:02 |       |       |

|   5 |      BITMAP INDEX FAST FULL SCAN| IND_XB_OPERATION |       |            |          |     1 |1048575|

          0  db block gets

        312  consistent gets

          0  physical reads

在数据量超大的表上,还可以采用位图索引并行的方式。优化无止境,根据场景选择最适合的才是最好的。

<a href="https://asktom.oracle.com/pls/asktom/f?p=100:11:0::::P11_QUESTION_ID:1156159920245">https://asktom.oracle.com/pls/asktom/f?p=100:11:0::::P11_QUESTION_ID:1156159920245</a>

You Asked

What is the difference between count(1) and count(*) in a sql query

eg.

select count(1) from emp;

and

select count(*) from emp;

and we said...

nothing, they are the same, incur the same amount of work -- do the same thing, take the same amount of resources.

You can see this via:

[email protected]&gt; alter session set sql_trace=true;

Session altered.

[email protected]&gt; select count(*) from all_objects;

COUNT(*)

27044

[email protected]&gt; select count(1) from all_objects

2 /

COUNT(1)

and the tkprof will show:

select count(*)

from

all_objects

call count cpu elapsed disk query current rows

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

Parse 1 0.02 0.02 0 0 0 0

Execute 1 0.00 0.00 0 0 0 0

Fetch 2 5.56 5.56 0 234998 4 1

total 4 5.58 5.58 0 234998 4 1

select count(1)

Fetch 2 5.46 5.47 0 234998 4 1

total 4 5.48 5.49 0 234998 4 1

Same number of blocks read/written/processed, same cpu times (basically) same elapsed times (basically).

they are identical.

Anyone who thinks different (and I know you are out there) will have to post a test case like the above or some scientific proof otherwise to be taken seriously....

About Me ............................................................................................................................... ● 本文作者:小麦苗,只专注于数据库的技术,更注重技术的运用 ● QQ群:230161599     微信群:私聊 ● 联系我请加QQ好友(646634621),注明添加缘由 ● 于 2017-03-28 09:00 ~ 2017-03-30 22:00 在魔都完成 ● 文章内容来源于小麦苗的学习笔记,部分整理自网络,若有侵权或不当之处还请谅解 ● 版权所有,欢迎分享本文,转载请保留出处 拿起手机使用微信客户端扫描下边的左边图片来关注小麦苗的微信公众号:xiaomaimiaolhr,扫描右边的二维码加入小麦苗的QQ群,学习最实用的数据库技术。
【优化】COUNT(1)、COUNT(*)、COUNT(常量)、COUNT(主键)、COUNT(ROWID)等 ------------------------------------------------------------------------- 第二章 实验部分 第三章 参考文章 -------------------------------------------------------------------------
【优化】COUNT(1)、COUNT(*)、COUNT(常量)、COUNT(主键)、COUNT(ROWID)等 ------------------------------------------------------------------------- 第二章 实验部分 第三章 参考文章 -------------------------------------------------------------------------
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【优化】COUNT(1)、COUNT(*)、COUNT(常量)、COUNT(主键)、COUNT(ROWID)等 ------------------------------------------------------------------------- 第二章 实验部分 第三章 参考文章 -------------------------------------------------------------------------
【优化】COUNT(1)、COUNT(*)、COUNT(常量)、COUNT(主键)、COUNT(ROWID)等 ------------------------------------------------------------------------- 第二章 实验部分 第三章 参考文章 -------------------------------------------------------------------------
【优化】COUNT(1)、COUNT(*)、COUNT(常量)、COUNT(主键)、COUNT(ROWID)等 ------------------------------------------------------------------------- 第二章 实验部分 第三章 参考文章 -------------------------------------------------------------------------