之前和大家分享过Oracle 11g下的一个新特性——收集多列统计信息(http://blog.itpub.net/30162081/viewspace-1637387/),今天和大家分享Oracle 12c的一个新特性——自动检测有用列组信息。二者相得益彰,大家可以具体情况酌情使用。
言归正传,我们可以针对一个表,基于特
定的工作负荷,通过使用DBMS_STATS.SEED_COL_USAGE和REPORT_COL_USAGE来确定我们需要哪些列组。当你不清除需要创建哪个扩展统计信息时,这个技术是非常有用的。需要注意的是,这种技术不适用于包含表达式列的统计工作。
接下来,我们通过例子来学习这个的新特性。
1.环境准备
首先,我们创建测试表
customers_test,基于sh示例用户下的customers表。
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SQL> select banner from v$version;
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BANNER
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--------------------------------------------------------------------------------
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Oracle Database 12c Enterprise Edition Release 12.1.0.2.0 - 64bit Production
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PL/SQL Release 12.1.0.2.0 - Production
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CORE 12.1.0.2.0 Production
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TNS for Linux: Version 12.1.0.2.0 - Production
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NLSRTL Version 12.1.0.2.0 - Production
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SQL>
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SQL> conn sh/sh@HOEGH
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Connected.
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SQL>
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SQL> DROP TABLE customers_test;
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DROP TABLE customers_test
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*
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ERROR at line 1:
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ORA-00942: table or view does not exist
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SQL> CREATE TABLE customers_test AS SELECT * FROM customers;
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Table created.
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SQL> select count(*) from customers_test;
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COUNT(*)
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----------
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55500
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SQL>
2.收集统计信息
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SQL>
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SQL> EXEC DBMS_STATS.GATHER_TABLE_STATS(user, 'customers_test');
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PL/SQL procedure successfully completed.
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SQL>
3.开启负载监控
另外打开一个会话,通过sys用户登录,开启负载监控。其中,
SEED_COL_USAGE的第三个参数表示监控的时间,单位是秒,300表示5分钟。
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SQL> show user
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USER is “SYS”
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SQL> BEGIN
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DBMS_STATS.SEED_COL_USAGE(null,null,300);
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END;
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/ 2 3 4
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PL/SQL procedure successfully completed.
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SQL>
4.使用explain plan for查询执行计划
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SQL>
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SQL> EXPLAIN PLAN FOR
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SELECT *
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FROM customers_test
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WHERE cust_city = 'Los Angeles'
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AND cust_state_province = 'CA'
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AND country_id = 52790; 2 3 4 5 6
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Explained.
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SQL>
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SQL> SELECT PLAN_TABLE_OUTPUT
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FROM TABLE(DBMS_XPLAN.DISPLAY('plan_table', null,'basic rows')); 2
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PLAN_TABLE_OUTPUT
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--------------------------------------------------------------------------------
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Plan hash value: 2112738156
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----------------------------------------------------
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| Id | Operation | Name | Rows |
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----------------------------------------------------
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| 0 | SELECT STATEMENT | | 1 |
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| 1 | TABLE ACCESS FULL| CUSTOMERS_TEST | 1 |
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----------------------------------------------------
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8 rows selected.
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SQL>
从执行计划来看,查询结果只有1列。我们暂且记下这个结果。
5.查看列使用信息
此时,我们可以通过REPORT_COL_USAGE来查看列的使用信息。
我们看到,Oracle帮我们检测到了一个有用的列组信息,包括
customers_test、cust_city和cust_state_province三列。
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SQL>
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SQL> SET LONG 100000
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SQL> SET LINES 120
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SQL> SET PAGES 0
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SQL> SELECT DBMS_STATS.REPORT_COL_USAGE(user, 'customers_test')
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2 FROM DUAL;
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LEGEND:
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.......
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EQ : Used in single table EQuality predicate
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RANGE : Used in single table RANGE predicate
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LIKE : Used in single table LIKE predicate
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NULL : Used in single table is (not) NULL predicate
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EQ_JOIN : Used in EQuality JOIN predicate
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NONEQ_JOIN : Used in NON EQuality JOIN predicate
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FILTER : Used in single table FILTER predicate
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JOIN : Used in JOIN predicate
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GROUP_BY : Used in GROUP BY expression
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...............................................................................
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###############################################################################
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COLUMN USAGE REPORT FOR SH.CUSTOMERS_TEST
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.........................................
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1. COUNTRY_ID : EQ
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2. CUST_CITY : EQ
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3. CUST_STATE_PROVINCE : EQ
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4. (CUST_CITY, CUST_STATE_PROVINCE,
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COUNTRY_ID) : FILTER
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###############################################################################
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SQL>
6.创建扩展统计信息
检测工作完成后,我们可以通过CREATE_EXTENDED_STATS方法来创建扩展统计信息。其中,黄色标注部分就是创建对象的名称。
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SQL>
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SQL> SELECT DBMS_STATS.CREATE_EXTENDED_STATS(user, 'customers_test') FROM DUAL;
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###############################################################################
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EXTENSIONS FOR SH.CUSTOMERS_TEST
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................................
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1. (CUST_CITY, CUST_STATE_PROVINCE,
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COUNTRY_ID) : SYS_STUMZ$C3AIHLPBROI#SKA58H_N created
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###############################################################################
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SQL>
7.重新收集统计信息
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SQL>
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SQL> EXEC DBMS_STATS.GATHER_TABLE_STATS(user,'customers_test');
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PL/SQL procedure successfully completed.
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SQL>
8.查看USER_TAB_COL_STATISTICS,确认列统计信息
通过查询
USER_TAB_COL_STATISTICS,我们可以获取到刚刚创建的列组对象,和第6步的输出结果是一致的。
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SQL>
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SQL> COL COLUMN_NAME FOR A30
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SQL> SELECT COLUMN_NAME, NUM_DISTINCT, HISTOGRAM
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FROM USER_TAB_COL_STATISTICS
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WHERE TABLE_NAME = 'CUSTOMERS_TEST'
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ORDER BY 1; 2 3 4
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COUNTRY_ID 19 FREQUENCY
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CUST_CITY 620 HYBRID
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CUST_CITY_ID 620 NONE
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CUST_CREDIT_LIMIT 8 NONE
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CUST_EFF_FROM 1 NONE
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CUST_EFF_TO 0 NONE
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CUST_EMAIL 1699 NONE
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CUST_FIRST_NAME 1300 NONE
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CUST_GENDER 2 NONE
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CUST_ID 55500 NONE
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CUST_INCOME_LEVEL 12 NONE
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CUST_LAST_NAME 908 NONE
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CUST_MAIN_PHONE_NUMBER 51344 NONE
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CUST_MARITAL_STATUS 11 NONE
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CUST_POSTAL_CODE 623 NONE
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CUST_SRC_ID 0 NONE
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CUST_STATE_PROVINCE 145 FREQUENCY
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CUST_STATE_PROVINCE_ID 145 NONE
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CUST_STREET_ADDRESS 49900 NONE
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CUST_TOTAL 1 NONE
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CUST_TOTAL_ID 1 NONE
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CUST_VALID 2 NONE
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CUST_YEAR_OF_BIRTH 75 NONE
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SYS_STUMZ$C3AIHLPBROI#SKA58H_N 620 HYBRID
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24 rows selected.
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SQL>
9.重新查询执行计划
我们看到,在第4步中查询执行计划中,Rows为1;现在呢,是867。这差距也忒大了点儿。
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SQL>
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SQL> EXPLAIN PLAN FOR
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SELECT *
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FROM customers_test
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WHERE cust_city = 'Los Angeles'
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AND cust_state_province = 'CA'
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AND country_id = 52790; 2 3 4 5 6
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Explained.
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SQL>
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SQL> SELECT PLAN_TABLE_OUTPUT
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FROM TABLE(DBMS_XPLAN.DISPLAY('plan_table', null,'basic rows')); 2
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Plan hash value: 2112738156
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----------------------------------------------------
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| Id | Operation | Name | Rows |
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----------------------------------------------------
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| 0 | SELECT STATEMENT | | 867 |
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| 1 | TABLE ACCESS FULL| CUSTOMERS_TEST | 867 |
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----------------------------------------------------
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8 rows selected.
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SQL>
~~~~~~~ the end~~~~~~~~~
hoegh
2016.09.07
来自 “ ITPUB博客 ” ,链接:https://blog.itpub.net/30162081/viewspace-2124652/
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