BlogJava-chen4765654-随笔分类-Oraclehttp://www.blogjava.net/chen4765654/category/54435.htmlzh-cnTue, 16 Dec 2014 17:23:25 GMTTue, 16 Dec 2014 17:23:25 GMT60ORACLE大数据量生成语句http://www.blogjava.net/chen4765654/archive/2014/09/15/417939.html紫色心情紫色心情Mon, 15 Sep 2014 05:50:00 GMThttp://www.blogjava.net/chen4765654/archive/2014/09/15/417939.htmlhttp://www.blogjava.net/chen4765654/comments/417939.htmlhttp://www.blogjava.net/chen4765654/archive/2014/09/15/417939.html#Feedback0http://www.blogjava.net/chen4765654/comments/commentRss/417939.htmlhttp://www.blogjava.net/chen4765654/services/trackbacks/417939.html为了更好的测试我们的系统在一定数据量下的运行情况，时常需要准备大量的测试数据。如果有灵活的方法可以使用，那就可以事半功倍了。
以下介绍如何在ORACLE数据库中进行大数据量的构造方法，数据量大小均为500万。
'''基本主键列'''
SELECT LEVEL AS ID
  FROM DUAL
CONNECT BY LEVEL <= 5000000
'''基本的单据列'''
SELECT 'SO20121123' || LPAD(LEVEL, 5, 0) AS ORDER_NO
  FROM DUAL
CONNECT BY LEVEL <= 5000000;
'''基本的日期列'''
SELECT TO_DATE(TRUNC(DBMS_RANDOM.VALUE(TO_NUMBER(TO_CHAR(SYSDATE, 'J')),
                                       TO_NUMBER(TO_CHAR(SYSDATE, 'J')))),
               'J') + DBMS_RANDOM.VALUE(1, 360000) / 3600 AS ENTRYDATE
  FROM DUAL
CONNECT BY LEVEL < 5000000;
'''特定时间范围内'''
SELECT TO_DATE(TRUNC(DBMS_RANDOM.VALUE(TO_NUMBER(TO_CHAR(SYSDATE - 10, 'J')),
                                       TO_NUMBER(TO_CHAR(SYSDATE, 'J')))),
               'J') + DBMS_RANDOM.VALUE(1, 360000) / 3600 / 24 AS ENTRYDATE
  FROM DUAL
CONNECT BY LEVEL < 5000000;
'''随机数据'''
SELECT DBMS_RANDOM.VALUE FROM DUAL CONNECT BY LEVEL < 5000000;
'''随机数据范围'''
SELECT TRUNC(DBMS_RANDOM.VALUE(0, 100))
  FROM DUAL
CONNECT BY LEVEL < 5000000;
'''随机字符串'''
SELECT DBMS_RANDOM.STRING('A', 8) FROM DUAL CONNECT BY LEVEL < 5000000;
'''复杂组合（订单）'''
SELECT 'P-' ||
       TO_CHAR((TO_DATE(TRUNC(DBMS_RANDOM.VALUE(TO_NUMBER(TO_CHAR(SYSDATE - 30,
                                                                  'J')),
                                                TO_NUMBER(TO_CHAR(SYSDATE,
                                                                  'J')))),
                        'J') + DBMS_RANDOM.VALUE(1, 360000) / 3600 / 24),
               'YYMMDD') || '-' ||
       LPAD(TRUNC(DBMS_RANDOM.VALUE(1, 100)), 5, '0') AS 订单号,
       '一般采购' AS 订单类型,
       'SO20121123' || LPAD(LEVEL, 4, 0) AS 外部订单号,
       'admin' AS 变更人,
       TO_DATE(TRUNC(DBMS_RANDOM.VALUE(TO_NUMBER(TO_CHAR(SYSDATE, 'J')),
                                       TO_NUMBER(TO_CHAR(SYSDATE, 'J')))),
               'J') + DBMS_RANDOM.VALUE(1, 360000) / 3600 AS 更新时间
  FROM DUAL
CONNECT BY LEVEL < 5000000;
'''加入随机用户或者字符'''
SELECT 'P-' ||
       TO_CHAR((TO_DATE(TRUNC(DBMS_RANDOM.VALUE(TO_NUMBER(TO_CHAR(SYSDATE - 30,
                                                                  'J')),
                                                TO_NUMBER(TO_CHAR(SYSDATE,
                                                                  'J')))),
                        'J') + DBMS_RANDOM.VALUE(1, 360000) / 3600 / 24),
               'YYMMDD') || '-' ||
       LPAD(TRUNC(DBMS_RANDOM.VALUE(1, 100)), 5, '0') AS 订单号,
       '一般采购' AS 订单类型,
       CASE TRUNC(DBMS_RANDOM.VALUE(0, 2))
         WHEN 0 THEN
          ('SO20121123' || LPAD(LEVEL, 4, 0))
         ELSE
          ('')
       END AS 外部订单号,
       CASE TRUNC(DBMS_RANDOM.VALUE(0, 3))
         WHEN 0 THEN
          'admin'
         WHEN 1 THEN
          'steven'
         ELSE
          'joseph'
       END AS 变更人,
       TO_DATE(TRUNC(DBMS_RANDOM.VALUE(TO_NUMBER(TO_CHAR(SYSDATE, 'J')),
                                       TO_NUMBER(TO_CHAR(SYSDATE, 'J')))),
               'J') + DBMS_RANDOM.VALUE(1, 360000) / 3600 AS 更新时间
  FROM DUAL
CONNECT BY LEVEL < 5000000;


紫色心情 2014-09-15 13:50 发表评论
]]>Oracle常规表优化http://www.blogjava.net/chen4765654/archive/2014/07/29/416292.html紫色心情紫色心情Tue, 29 Jul 2014 07:20:00 GMThttp://www.blogjava.net/chen4765654/archive/2014/07/29/416292.htmlhttp://www.blogjava.net/chen4765654/comments/416292.htmlhttp://www.blogjava.net/chen4765654/archive/2014/07/29/416292.html#Feedback0http://www.blogjava.net/chen4765654/comments/commentRss/416292.htmlhttp://www.blogjava.net/chen4765654/services/trackbacks/416292.html--释放空间
alter table tpl_order shrink space;
--重建索引
Alter index IDX_TPL_ORDER_1 rebuild;
--重新分析表
analyze table  tpl_order compute statistics; 


紫色心情 2014-07-29 15:20 发表评论
]]>复杂关联查询物化视图http://www.blogjava.net/chen4765654/archive/2014/07/17/415931.html紫色心情紫色心情Thu, 17 Jul 2014 03:21:00 GMThttp://www.blogjava.net/chen4765654/archive/2014/07/17/415931.htmlhttp://www.blogjava.net/chen4765654/comments/415931.htmlhttp://www.blogjava.net/chen4765654/archive/2014/07/17/415931.html#Feedback0http://www.blogjava.net/chen4765654/comments/commentRss/415931.htmlhttp://www.blogjava.net/chen4765654/services/trackbacks/415931.html

1、现在子表建立聚合物化视图
CREATE MATERIALIZED VIEW LOG on test_b WITH rowid ,SEQUENCE (status,p_id) INCLUDING NEW VALUES;


create materialized view mv_test_b  
 BUILD immediate
 refresh fast on demand  
 start with sysdate next sysdate+1/1440 with rowid  
 as 
 select a.p_id,COUNT(*) from test_b a where a.status=1 group by a.p_id;
 
 
2、在子表聚合物化视图上建立日志
CREATE MATERIALIZED VIEW LOG on mv_test_b WITH rowid ,SEQUENCE (p_id) INCLUDING NEW VALUES;


3、在主表建立关联物化视图和日志
CREATE MATERIALIZED VIEW LOG on test_a WITH rowid ,SEQUENCE (code) INCLUDING NEW VALUES;

create materialized view mv_test_code  
 BUILD immediate
 refresh fast on demand  
 start with sysdate next sysdate+1/1440 with rowid  
 as 
 select  b.code,a.rowid aid,b.rowid bid from mv_test_b a, test_a b where a.p_id=b.id;



紫色心情 2014-07-17 11:21 发表评论
]]>