ORACLE 12C 12項強化功能之一 建TABLE 時可以直接用Sequence

oracle 12c database new features Oracle 12項 資料庫新特性 
Default value of column can use a sequence.nextval
在以往ORACLE 9i ,10g,11g  建sequence 都要建一個Trigger 將Seqence  作改變 

參考Create table with default sequence
 Creating a Table with a DEFAULT ON NULL Column Value: Example 

The following statement creates a table myemp, which can be used to store employee data. The department_id column is defined with a DEFAULT ON NULLcolumn value of 50. Therefore, if a subsequent INSERT statement attempts to assign a NULL value to department_id, then the value of 50 will be assigned instead.

CREATE TABLE myemp (employee_id number, last_name varchar2(25),
                    department_id NUMBER DEFAULT ON NULL 50 NOT NULL);

以上官網的範例 
以下我作個實際範例 

create table example (
production varchar2(100),
productioserial number default on null 1 not null);



insert into example(production) values('item2');
commit;

insert into example(production) values('item2');
commit;

select * from example;

Results ：  看樣子是會帶DEFAULT 值出 ，可是這不是我要的自動增加 
PRODUCTION  PRODUCTIOSERIAL
----------------------------------------------------------------
item1     1 
item2     1

CREATE TABLE example2 (productname varchar2(100),serial NUMBER GENERATED BY DEFAULT AS IDENTITY (START WITH 1 INCREMENT BY 1));

insert into example2(productname) values ('itema');

 insert into example2(productname) values ('itemb');

PRODUCTNAME               SERIAL

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

itema                          1 

itemb                          2 

轉文Pivoting INSERT

http://www.oracleabc.com/forums/viewtopic.php?p=100
A data warehouse can receive data from many different sources. Some of these source systems may not be relational databases and may store data in very different formats from the data warehouse. For example, suppose that you receive a set of sales records from a nonrelational database having the form:

product_id, customer_id, weekly_start_date, sales_sun, sales_mon, sales_tue,
sales_wed, sales_thu, sales_fri, sales_sat

The input table looks like the following:

SELECT * FROM sales_input_table;

PRODUCT_ID CUSTOMER_ID WEEKLY_ST SALES_SUN SALES_MON SALES_TUE SALES_WED SALES_THU SALES_FRI SALES_SAT
---------- ----------- --------- ---------- ---------- ---------- -------------------- ---------- ----------
111 222 01-OCT-00 100 200 300 400 500 600 700
222 333 08-OCT-00 200 300 400 500 600 700 800
333 444 15-OCT-00 300 400 500 600 700 800 900

In your data warehouse, you would want to store the records in a more typical relational form in a fact table sales of the sh sample schema:

prod_id, cust_id, time_id, amount_sold

Note:
A number of constraints on the sales table have been disabled for purposes of this example, because the example ignores a number of table columns for the sake of brevity.

Thus, you need to build a transformation such that each record in the input stream must be converted into seven records for the data warehouse's sales table. This operation is commonly referred to as pivoting, and Oracle Database offers several ways to do this.

The result of the previous example will resemble the following:

SELECT prod_id, cust_id, time_id, amount_sold FROM sales;

PROD_ID CUST_ID TIME_ID AMOUNT_SOLD
---------- ---------- --------- -----------
111 222 01-OCT-00 100
111 222 02-OCT-00 200
111 222 03-OCT-00 300
111 222 04-OCT-00 400
111 222 05-OCT-00 500
111 222 06-OCT-00 600
111 222 07-OCT-00 700
222 333 08-OCT-00 200
222 333 09-OCT-00 300
222 333 10-OCT-00 400
222 333 11-OCT-00 500
222 333 12-OCT-00 600
222 333 13-OCT-00 700
222 333 14-OCT-00 800
333 444 15-OCT-00 300
333 444 16-OCT-00 400
333 444 17-OCT-00 500
333 444 18-OCT-00 600
333 444 19-OCT-00 700
333 444 20-OCT-00 800
333 444 21-OCT-00 900

Example 14-7 Pivoting

The following example uses the multitable insert syntax to insert into the demo table sh.sales some data from an input table with a different structure. The multitable INSERT statement looks like the following:

INSERT ALL INTO sales (prod_id, cust_id, time_id, amount_sold)
VALUES (product_id, customer_id, weekly_start_date, sales_sun)
INTO sales (prod_id, cust_id, time_id, amount_sold)
VALUES (product_id, customer_id, weekly_start_date+1, sales_mon)
INTO sales (prod_id, cust_id, time_id, amount_sold)
VALUES (product_id, customer_id, weekly_start_date+2, sales_tue)
INTO sales (prod_id, cust_id, time_id, amount_sold)
VALUES (product_id, customer_id, weekly_start_date+3, sales_wed)
INTO sales (prod_id, cust_id, time_id, amount_sold)
VALUES (product_id, customer_id, weekly_start_date+4, sales_thu)
INTO sales (prod_id, cust_id, time_id, amount_sold)
VALUES (product_id, customer_id, weekly_start_date+5, sales_fri)
INTO sales (prod_id, cust_id, time_id, amount_sold)
VALUES (product_id, customer_id, weekly_start_date+6, sales_sat)
SELECT product_id, customer_id, weekly_start_date, sales_sun,
sales_mon, sales_tue, sales_wed, sales_thu, sales_fri, sales_sat
FROM sales_input_table;