首页 > 其他分享 >[20221228]Adaptive Cursor Sharing & 直方图2.txt

[20221228]Adaptive Cursor Sharing & 直方图2.txt

时间:2023-01-23 17:23:07浏览次数:45  
标签:test01p Sharing 20221228 object ID 直方图 ---------- id select

[20221228]Adaptive Cursor Sharing & 直方图2.txt

--//前一阵子在做优化时我想当然以为重新分析取消某个日期字段的直方图信息,就不会出现大量子光标问题,结果发现我错了.
--//可能我以前也做过类似测试,加强记忆重复测试.
--//前几天做了测试说明ACS是一个不好的设计,问题多多.如果我删除统计中某个字段的最大最小值,是否可以避免这样的情况发生.
--//验证看看.

1.环境:
SCOTT@test01p> @ver1
PORT_STRING                    VERSION        BANNER                                                                               CON_ID
------------------------------ -------------- -------------------------------------------------------------------------------- ----------
IBMPC/WIN_NT64-9.1.0           12.2.0.1.0     Oracle Database 12c Enterprise Edition Release 12.2.0.1.0 - 64bit Production              0

2.建立例子:

create table t as select object_id, object_type from dba_objects;
create index i_t_object_id on t(object_id);

SCOTT@test01p> @ tpt/gts t
Gather Table Statistics for table t...
exec dbms_stats.gather_table_stats(null, upper('t'), null, method_opt=>'FOR TABLE FOR ALL COLUMNS SIZE REPEAT', cascade=>true, no_invalidate=>false)
PL/SQL procedure successfully completed.

SCOTT@test01p> select column_name, histogram from user_tab_col_statistics where table_name = 'T';

COLUMN_NAME          HISTOGRAM
-------------------- ---------------
OBJECT_ID            NONE
OBJECT_TYPE          NONE

SCOTT@test01p> select count(*), min(object_id), max(object_id) from t;
  COUNT(*) MIN(OBJECT_ID) MAX(OBJECT_ID)
---------- -------------- --------------
     22513              2          29751

SCOTT@test01p> @ descz t object_id
eXtended describe of t

DISPLAY TABLE_NAME OF COLUMN_NAME INFORMATION.
INPUT   OWNER.TABLE_NAME  <filters>
SAMPLE  : @ desczz TABLE_NAME column_name1,column_name2
IF NOT INPUT <filters> ,USE "" or 1=1 or 1.
Owner      Table_Name SAMPLE_SIZE LAST_ANALYZED       Col# Column Name Null?      Type      NUM_DISTINCT        Density  NUM_NULLS HISTOGRAM NUM_BUCKETS Low_value High_value
---------- ---------- ----------- ------------------- ---- ----------- ---------- --------- ------------ -------------- ---------- --------- ----------- --------- ----------
SCOTT      T                22511 2023-01-23 16:46:21    1 OBJECT_ID              NUMBER(,)        22511   .00004442273          2                     1 2         29751

--//使用我前面写的minmaxtab脚本清除object_id统计信息中记录的最大最小值.
--//参考链接 http://blog.itpub.net/267265/viewspace-2932709/ =>[20221216]建立修改表统计信息minmaxtab.sql脚本.txt
SCOTT@test01p> @ minmaxtab t object_id
modify table:t column=object_id stats min and max = NULL
input argument list : owner.table_name column_name
PL/SQL procedure successfully completed.

SCOTT@test01p> @ descz t object_id
eXtended describe of t
DISPLAY TABLE_NAME OF COLUMN_NAME INFORMATION.
INPUT   OWNER.TABLE_NAME  <filters>
SAMPLE  : @ desczz TABLE_NAME column_name1,column_name2
IF NOT INPUT <filters> ,USE "" or 1=1 or 1.

Owner      Table_Name SAMPLE_SIZE LAST_ANALYZED       Col# Column Name Null?      Type      NUM_DISTINCT        Density  NUM_NULLS HISTOGRAM NUM_BUCKETS Low_value High_value
---------- ---------- ----------- ------------------- ---- ----------- ---------- --------- ------------ -------------- ---------- --------- ----------- --------- ----------
SCOTT      T                22511 2023-01-23 16:46:21    1 OBJECT_ID              NUMBER(,)        22511   .00004442273          2                     1
--//OK!!

3.测试:
var N1 number;
var N2 number;
exec :N1 := 10;
exec :N2 := 11;
select * from t where object_id >= :N1 and object_id <= :N2;
SCOTT@test01p> @ tpt/hash
HASH_VALUE SQL_ID        CHILD_NUMBER KGL_BUCKET PLAN_HASH_VALUE HASH_HEX   SQL_EXEC_START      SQL_EXEC_ID
---------- ------------- ------------ ---------- --------------- ---------- ------------------- -----------
1361934982 db58kqj8kuyn6            0      96902      2339744171  512d7a86  2023-01-18 21:15:42    16777217        

column i_b_s format a10
column i_b_a format a10
column i_sh  format a10

SCOTT@test01p> select sql_id, is_bind_sensitive i_b_s, is_bind_aware i_b_a, is_shareable i_sh, executions, fetches from v$sql v where sql_id='db58kqj8kuyn6';
SQL_ID        I_B_S      I_B_A      I_SH       EXECUTIONS    FETCHES
------------- ---------- ---------- ---------- ---------- ----------
db58kqj8kuyn6 Y          N          Y                   2          4
--//注意已经执行2次.

exec :N2 := 1000000;

select * from t where object_id >= :N1 and object_id <= :N2;
select * from t where object_id >= :N1 and object_id <= :N2;
--//再次执行2次.输出太长忽略.

SCOTT@test01p> select sql_id, is_bind_sensitive i_b_s, is_bind_aware i_b_a, is_shareable i_sh, executions, fetches from v$sql v where sql_id='db58kqj8kuyn6';
SQL_ID        I_B_S      I_B_A      I_SH       EXECUTIONS    FETCHES
------------- ---------- ---------- ---------- ---------- ----------
db58kqj8kuyn6 Y          N          Y                   4        232
--//可以发现当改变执行范围很大2次时执行计划并没有改变,也就是没有产生子光标.

select * from t where object_id >= :N1 and object_id <= :N2;
--//再次执行1次.输出太长忽略.

SCOTT@test01p> select sql_id, is_bind_sensitive i_b_s, is_bind_aware i_b_a, is_shareable i_sh, executions, fetches from v$sql v where sql_id='db58kqj8kuyn6';
SQL_ID        I_B_S      I_B_A      I_SH       EXECUTIONS    FETCHES
------------- ---------- ---------- ---------- ---------- ----------
db58kqj8kuyn6 N          N          Y                   5        346

--//可以发现现在is_bind_sensitive=N,没有生成新的子光标.
--//看看执行计划:
SCOTT@test01p> @ dpc '' ''
PLAN_TABLE_OUTPUT
-------------------------------------
SQL_ID  db58kqj8kuyn6, child number 0
-------------------------------------
select * from t where object_id >= :N1 and object_id <= :N2
Plan hash value: 2339744171
-------------------------------------------------------------------------------------------------------
| Id  | Operation                            | Name          | E-Rows |E-Bytes| Cost (%CPU)| E-Time   |
-------------------------------------------------------------------------------------------------------
|   0 | SELECT STATEMENT                     |               |        |       |     3 (100)|          |
|*  1 |  FILTER                              |               |        |       |            |          |
|   2 |   TABLE ACCESS BY INDEX ROWID BATCHED| T             |     56 |   672 |     3   (0)| 00:00:01 |
|*  3 |    INDEX RANGE SCAN                  | I_T_OBJECT_ID |    101 |       |     2   (0)| 00:00:01 |
-------------------------------------------------------------------------------------------------------
Query Block Name / Object Alias (identified by operation id):
-------------------------------------------------------------
   1 - SEL$1
   2 - SEL$1 / T@SEL$1
   3 - SEL$1 / T@SEL$1
Peeked Binds (identified by position):
--------------------------------------
   1 - :1 (NUMBER): 10
   2 - :2 (NUMBER): 1000000
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Predicate Information (identified by operation id):
---------------------------------------------------
   1 - filter(:N2>=:N1)
   3 - access("OBJECT_ID">=:N1 AND "OBJECT_ID"<=:N2)

Note
-----
   - Warning: basic plan statistics not available. These are only collected when:
       * hint 'gather_plan_statistics' is used for the statement or
       * parameter 'statistics_level' is set to 'ALL', at session or system level
40 rows selected.
--//注意看下划线现在抓取的绑定变量N2:=1000000.说明重新抓取绑定变量值.
--//当然查询范围变大,最佳的执行计划是选择全表扫描.我这里仅仅例子说明删除统计字段的最大最小值,可以规避acs的问题.


标签:test01p,Sharing,20221228,object,ID,直方图,----------,id,select
From: https://www.cnblogs.com/lfree/p/17065312.html

相关文章

  • FalseSharing-伪共享
    1.CPU缓存要了解什么是伪共享,首先得了解CPU缓存架构与缓存行的知识(1)<CPU缓存架构>主内存RAM是数据存在的地方,CPU和主内存之间有好几级缓存,因为即使直接访问主内存相......
  • FalseSharing-伪共享
    1.CPU缓存要了解什么是伪共享,首先得了解CPU缓存架构与缓存行的知识(1)CPU缓存架构主内存RAM是数据存在的地方,CPU和主内存之间有好几级缓存,因为即使直接访问主内存相对......
  • 跟我学Python丨图像增强及运算:局部直方图均衡化和自动色彩均衡化处理
    摘要:本文主要讲解图像局部直方图均衡化和自动色彩均衡化处理。这些算法可以广泛应用于图像增强、图像去噪、图像去雾等领域。本文分享自华为云社区《​​[Python从零到壹]......
  • 跟我学Python丨图像增强及运算:局部直方图均衡化和自动色彩均衡化处理
    摘要:本文主要讲解图像局部直方图均衡化和自动色彩均衡化处理。这些算法可以广泛应用于图像增强、图像去噪、图像去雾等领域。本文分享自华为云社区《[Python从零到壹]五......
  • 26 直方图均衡化
    26直方图均衡化opencv知识点:均衡灰度图像的直方图-equalizeHist本课所解决的问题:什么是图像直方图均衡化?如何均衡化灰度图像的直方图?如何均衡化彩色图像的直方......
  • 25 二维直方图
    25二维直方图opencv知识点:计算直方图数据-calcHist四舍五入浮点数-cvRound寻找最小/最大值-minMaxLoc本课所解决的问题:如何绘制HSV图像的二维直方图?1.二......
  • 24 [图像直方图
    24图像直方图opencv知识点:计算直方图数据-calcHist四舍五入浮点数-cvRound本课所解决的问题:什么是图像直方图?如何绘制彩色图像的一维直方图?1.图像直方图......
  • 伪共享(False Sharing)
    【参考】https://zhuanlan.zhihu.com/p/55917869【cachememory】cpu和主存间存在三级缓存L1,L2(单核独享)L3(多核共享)【L1和L2如何保持一致】mesi协议定义cacheline......
  • 图像处理-直方图均衡化
    文章目录​​1、直方图均衡化​​​​1.1什么是直方图均衡化​​​​1.2为什么要进行直方图均衡化​​​​1.3怎样进行直方图均衡化​​​​2、案例分析​​​​2.1代码......
  • 基于局部直方图相关算法的近似优化和提速。
    基于局部直方图的算法有很多很多,比如中值模糊、表面模糊、选择性模糊等等,这类算法有个通病,就是即使选择使用SIMD指令加速,因为其内在的特性,速度还是不能很......