雖然台北風和日麗，但是8/8屏東跟台東已經淹大水了，很遺憾過了幾年台灣整個社會的觀點還是”從台北看天下、不知人間疾苦”。

我現在只針對傳統的壽險的主約保費來說，相對傳統型就是投資型，相對主約保費就是附約保費(醫療險...等等)，所以我只針對傳統的壽險的主約保費來說喔，這個就是指你繳滿了20年或30年你可以領回一筆錢這種。

當你在買保險時你有沒有想過你有買貴了嗎? 保險費是跟預定利率成反比的，那什麼是預定利率，假設你投保50萬，投保20年期，你每一年需要繳的錢不會是 50 萬/ 20 = 2.5 萬，會比2.5萬還少一點，因為你每年繳給保險公司的錢，像是保險公司要付你一點利息一樣，所以一定會比2.5萬少一點，那這中間像是利息的這個東西，但它不是利息，它的專有名詞就叫做"預定利率"，預定利率是跟著銀行利率調高調低，預定利率愈高時你買的保險其實是愈便宜的，預定利率愈低你買的保險是愈貴的，所以當你是民國80年左右買的保險，當時銀行利率7~8%，預定利率也差不多7~8%，當時買的保險要算是買便宜了，要是像我在95年買的保險的話，利率大概是1~2%，那我買的保險就會偏貴囉，這樣懂嗎? 所以買保險第一個重點先知道你現在買的保單，保險公司給的預定利率是多少?我覺得這是買保險最要知道的一件事情喔^^

聯合新聞網 更新日期:2008/03/03 16:40 記者段鴻裕/苗栗報導

等待世犬聯盟6年觀察期

一直被一般人說成「台灣土狗」的台灣犬，可望再經過6年的觀察期，就成為唯一代表台灣，而受到全球認可的世界新犬種，也是全球唯一的台灣犬種。

台灣畜犬協會祕書長施三德說，2001年起，台灣犬已成為亞洲新犬種，世界畜犬聯盟（FCI）已核備，如能順利通過平均約10年的觀察期，將成為全球唯一的台灣犬種。

施三德說，台灣犬的品種目前獲得亞洲畜犬聯盟的認可，有14個國家承認這是亞洲最新的犬種，也是台灣唯一的犬種，並於2004年獲世界畜犬聯盟核備，而「核備」，也就是對台灣犬品種純度的觀察期。

目前已獲亞犬聯盟認可

他說，以最近獲得世界畜犬聯盟承認的泰國新犬種來說，泰國就等候世界聯盟長達10年的觀察期才獲得認可，以目前台灣犬的品種純度而言，通過應沒問題。

在苗栗縣長期飼育台灣犬的葉碧洋說，當年，一群熱愛台灣犬的愛好者非常積極地育種，然後向亞洲畜犬聯盟申請登錄，接著舉辦單一犬種（台灣犬）的展覽評鑑，一步步把台灣犬推向國際，喜愛台灣犬的同好，都希望儘快通過世界畜犬聯盟觀察期，讓台灣犬正式成為國際舞台的一員。

要確保有一致品種、基因

施三德與葉碧洋說，台灣犬的觀察期，主要的在觀察品種純度、基因遺傳是否穩定，尤其是在了解犬種在觀察期限內，是否無法維持一貫的特徵，例如，長期以來，犬種的形態樣貌無變化、尾巴、頭尾、毛色角度、長寬等是否都能長期一致，確認保有一致的品種基因後，就能成為正式的世界新犬種。

// 'ABC' 固定值
SELECT deptno ,admrdept ,'ABC' AS abc FROM department WHERE deptname LIKE '%ING%' ORDER BY 1;

// department.* department 的所有 Columns
SELECT deptno ,department.* FROM department WHERE deptname LIKE   '%ING%' ORDER BY 1;

Fetch

// fetch first 3 rows only 只選前面3筆, 隨機3筆
SELECT years ,name ,id FROM staff FETCH FIRST 3 ROWS ONLY;

// 依 years 遞減排序, 選前面3筆
SELECT years ,name ,id FROM staff WHERE years IS NOT NULL ORDER BY years DESC FETCH FIRST 3 ROWS ONLY;

// 依 years 及 id 遞減排序, 選前面3筆
SELECT years ,name ,id FROM staff WHERE years IS NOT NULL ORDER BY  years DESC ,id DESC FETCH FIRST 3 ROWS ONLY;

Correlation Name

// a 和 b 叫 Correlation Name, 若有要重覆使用 table 的話,可以使用 Correlation Name
SELECT a.empno ,a.lastname FROM employee a ,(SELECT MAX(empno) AS  empno FROM employee) AS b WHERE a.empno = b.empno;

Renaming Fields

// AS 用來 Renaming Fields, 就是列出來欄位的標題，Renaming Fields 不可以使用在GROUP BY、WHERE、HAVING
SELECT empno AS e_num ,midinit AS "m int" ,phoneno AS "..." FROM employee WHERE empno < '000030' ORDER BY 1;

Null Values

// Null Values，不等於空白，使用AVG()、SUM()、MAX()、MIX() 時會略過NULL
SELECT AVG(comm) AS a1 ,SUM(comm) / COUNT(*) AS a2 FROM staff WHERE id < 100;

// null 是特殊的一個值，是使用 IS NULL，IS NOT NULL 來比較，而非使用 '='
SELECT id, comm FROM staff WHERE id < 100 AND id IS NOT NULL AND omm IS NULL AND NOT comm IS NOT NULL ORDER BY id;

Quotes

// 在字串表示裡面2個單引號'才算1個，→ JOHN JOHN'S 'JOHN'S' "JOHN'S"
SELECT 'JOHN' AS J1 ,'JOHN''S' AS J2 ,'''JOHN''S''' AS J3 ,'"JOHN''S"' AS J4 FROM staff WHERE id = 10;

Double-quotes

// Renaming fields 使用雙引號"，也是2個雙引號才算1個→ USER ID D# #Y 'TXT' "quote" fld
SELECT id AS "USER ID" ,dept AS "D#" ,years AS "#Y" ,'ABC' AS "'TXT'" ,'"' AS """quote"" fld" FROM staff s WHERE id < 40 ORDER BY "USER ID";

ANY、ALL

// ANY，job 只要符合後面全部清單其中一個；ALL，id 必須小於或等於後面清單全部
SELECT id, job FROM staff WHERE job = ANY (SELECT job FROM staff) AND id <= ALL (SELECT id FROM staff) ORDER BY id;

Multi-value Check

// 一次比較2個值
SELECT id, dept, job FROM staff WHERE (id,dept) = (30,28) OR (id,years) = (90, 7) OR (dept,job) = (38,'Mgr') ORDER BY 1;

// 一次比較2個值也可以寫成如下
SELECT id, dept, job FROM staff WHERE (id = 30 AND dept = 28) OR (id = 90 AND years = 7) OR (dept = 38 AND job = 'Mgr') ORDER BY 1;

BETWEEN

// id 在不在 10~30 這個範圍，包含10與30本身，通常要前面數字小，後面數字大
SELECT id, job FROM staff WHERE id BETWEEN 10 AND 30 AND id NOT BETWEEN 30 AND 10 AND NOT id NOT BETWEEN 10 AND 30 ORDER BY id;

id BETWEEN 10 AND 30 等於 id>=10 and id<=30

EXISTS

// 只要另外一個 table 有存在的話
SELECT id, job FROM staff a WHERE EXISTS (SELECT * FROM staff b WHERE b.id = a.id AND b.id < 50) ORDER BY id;

IN

// id 有無在 10 or 20 or 30
SELECT id, job FROM staff a WHERE id IN (10,20,30) AND id IN (SELECT id FROM staff) AND id NOT IN 99 ORDER BY id;

// 同時比對2欄位，有無符合在 select 語法找出來的資料裡面
SELECT empno, lastname FROM employee WHERE (empno, 'AD3113') IN (SELECT empno, projno FROM emp_act WHERE emptime > 0.5) ORDER BY 1;

LIKE

// 比對字串，_ 代表1個字元，% 代表0或多個字元
SELECT id, name FROM staff WHERE name LIKE 'S%n' OR name LIKE '_a_a%' OR name LIKE '%r_%a' ORDER BY id;

// 可自訂 ESCAPE
SELECT id FROM staff WHERE id = 10
AND 'ABC' LIKE 'AB%'
AND 'A%C' LIKE  A/%C' ESCAPE '/'
AND 'A_C' LIKE 'A\_C' ESCAPE '\'
AND 'A_$' LIKE 'A$_$$' ESCAPE '$';

// 幾個 match 的範列
LIKE 'AB%' Finds AB, any string
LIKE 'AB%' ESCAPE '+' Finds AB, any string
LIKE 'AB+%' ESCAPE '+' Finds AB%
LIKE 'AB++' ESCAPE '+' Finds AB+
LIKE 'AB+%%' ESCAPE '+' Finds AB%, any string
LIKE 'AB++%' ESCAPE '+' Finds AB+, any string
LIKE 'AB+++%' ESCAPE '+' Finds AB+%
LIKE 'AB+++%%' ESCAPE '+' Finds AB+%, any string
LIKE 'AB+%+%%' ESCAPE '+' Finds AB%%, any string
LIKE 'AB++++' ESCAPE '+' Finds AB++
LIKE 'AB+++++%' ESCAPE '+' Finds AB++%
LIKE 'AB++++%' ESCAPE '+' Finds AB++, any string
LIKE 'AB+%++%' ESCAPE '+' Finds AB%+, any string

And vs OR

// AND 比 OR 先做，若有()裡面先做
SELECT * FROM table1 WHERE col1 = 'C' AND col1 >= 'A' OR col2 >= 'AA' ORDER BY col1;

SELECT * FROM table1 WHERE col1 = 'C' AND (col1 >= 'A' OR col2 >= 'AA') ORDER BY col1;

CAST

// CAST 型態轉換，若強制轉成 INTEGER 會無條件捨去小數點
SELECT id ,salary ,CAST(salary AS INTEGER) AS sal2 FROM staff WHERE id < 30 ORDER BY id;

// CHAR 的型態轉換，若長度太長會被切掉
SELECT id ,job ,CAST(job AS CHAR(3)) AS job2 FROM staff WHERE id < 30 ORDER BY id;

VALUES

// 使用 VALUES 做出的暫時資料表
VALUES 6 <= 1 row, 1 column
VALUES (6) <= 1 row, 1 column
VALUES 6, 7, 8 <= 3 row, 1 columns
VALUES (6), (7), (8) <= 3 rows, 1 column
VALUES (6,66), (7,77), (8,NULL) <= 3 rows, 2 columns

// WITH...VALUES 可以做出暫存的 table，執行結束 table 就失效，ex.搜尋航班表　
WITH temp1 (col1, col2) AS (VALUES ( 0, 'AA') ,( 1, 'BB') ,( 2, NULL))SELECT * FROM temp1;

// temp2 的資料臨時由 temp1 得來
WITH temp1 (col1, col2, col3) AS
(VALUES ( 0, 'AA', 0.00),( 1, 'BB', 1.11),( 2, 'CC', 2.22))
,temp2 (col1b, colx) AS
(SELECT col1 ,col1 + col3 FROM temp1)
SELECT * FROM temp2;

CASE

// 在執行過程中選擇改變指定欄位的值，有點像switch
SELECT Lastname ,sex AS sx
,CASE sex
   WHEN 'F' THEN 'FEMALE'
   WHEN 'M' THEN 'MALE'
   ELSE NULL
END AS sexx
FROM employee WHERE lastname LIKE 'J%' ORDER BY 1;

// 也可以寫成如下 sex = 'F'
SELECT lastname ,sex AS sx
,CASE
    WHEN sex = 'F' THEN 'FEMALE'
    WHEN sex = 'M' THEN 'MALE'
    ELSE NULL
END AS sexx
FROM employee WHERE lastname LIKE 'J%' ORDER BY 1;

// midinit 與 sex 比較，取大值
SELECT lastname ,midinit AS mi ,sex AS sx
,CASE
    WHEN midinit > sex   THEN midinit
    ELSE sex
END AS mx
FROM employee WHERE lastname LIKE 'J%' ORDER BY 1;

// 配合SUM()聰明地計算 Femail、Male 個數
SELECT COUNT(*) AS tot
,SUM(CASE sex WHEN 'F' THEN 1 ELSE 0 END) AS #f
,SUM(CASE sex WHEN 'M' THEN 1 ELSE 0 END) AS #m
FROM employee WHERE lastname LIKE 'J%';

ANSWER
=========
TOT #F #M
---   --  --
  3    1    2

// 轉換值過程中確保了 sex 不會是 NULL 值
SELECT lastname ,sex FROM employee WHERE lastname LIKE 'J%' AND CASE sex
    WHEN 'F' THEN ''
    WHEN 'M' THEN ''
    ELSE NULL
    END IS NOT NULL ORDER BY 1;

// 巢狀結構，以部門 dept 與年資 years，決定 comm 值
UPDATE staff SET comm =

CASE dept
     WHEN 15 THEN comm * 1.1
     WHEN 20 THEN comm * 1.2
     WHEN 38 THEN
          CASE
             WHEN years < 5 THEN comm * 1.3
             WHEN years >= 5 THEN comm * 1.4
             ELSE NULL
          END
     ELSE comm
END
WHERE comm IS NOT NULL
AND dept < 50;

// 避免NULL值變成被除數而造成錯誤
WITH temp1 (c1,c2) AS (VALUES (88,9),(44,3),(22,0),(0,1))
SELECT c1 ,c2,
CASE c2
    WHEN 0 THEN NULL
    ELSE c1/c2
END AS c3
FROM temp1;

DML Statements -----------

INSERT

// 插入一筆資料
INSERT INTO emp_act VALUES ('100000' ,'ABC' ,10 ,1.4 ,'2003-10-22', 2003-11-24');

// 一次插入多筆資料，其中只要一筆失敗就全部失敗失效
INSERT INTO emp_act VALUES
('200000' ,'ABC' ,10 ,1.4 ,'2003-10-22', '2003-11-24')
,('200000' ,'DEF' ,10 ,1.4 ,'2003-10-22', '2003-11-24')
,('200000' ,'IJK' ,10 ,1.4 ,'2003-10-22', '2003-11-24');

// NULL and DEFAULT 是關鍵字，DEFAULT 值在 CREATE table 時設定
INSERT INTO emp_act VALUES
('400000' ,'ABC' ,10 ,NULL ,DEFAULT, CURRENT DATE)

// 可以選擇性地只給4個欄位值
INSERT INTO emp_act (projno, emendate, actno, empno) VALUES
('ABC' ,DATE(CURRENT TIMESTAMP) ,123 ,'500000');

// INSERT 的資料是從另外一個 table select 出來的
INSERT INTO emp_act
SELECT LTRIM(CHAR(id + 600000)) ,SUBSTR(UCASE(name),1,6) ,salary / 229 ,123 ,CURRENT DATE ,'2003-11-11' FROM staff WHERE id < 50;

UPDATE

// UPDATE table SET 給值
UPDATE emp_act
SET emptime = NULL
     ,emendate = DEFAULT
     ,emstdate = CURRENT DATE + 2 DAYS
     ,actno = ACTNO / 2
     ,projno = 'ABC'
WHERE empno = '100000';

// SET 給的值是用 select 出來的值
UPDATE emp_act
SET actno = (SELECT MAX(salary) FROM staff)
WHERE empno = '200000';

DELETE

// DELECT FROM 刪除某一筆資料，指定明確要刪哪一筆資料
ELETE FROM emp_act WHERE empno = '000010' AND projno = 'MA2100'  AND actno = 10;

// 指定不明確條件，會全刪除
DELETE FROM emp_act;

// 配合另外一個 table 來決定刪不刪
DELETE FROM staff s1
WHERE id NOT IN (SELECT MAX(id) FROM staff s2 WHERE s1.dept =  2.dept);

// OLD TABLE 看還沒INSERT之前的table
NEW TABLE 看INSERT之後的table
FINAL TABLE 看INSERT完，同時triggers也做完後的table
SELECT empno ,projno AS prj ,actno AS act
FROM FINAL TABLE
(INSERT INTO emp_act
VALUES ('200000','ABC',10 ,1,'2003-10-22','2003-11-24')
           ,('200000','DEF',10 ,1,'2003-10-22','2003-11-24'))
ORDER BY 1,2,3;

// 定義 procedure，escape 是 @
create procedure proc()
begin
.
.
.
end
@

// in 的var_id是傳入的參數，out 的 name 是return的值
db2 create procedure proc(in var_id int, out name char(10));

// 續上，CALL procdure 語法
db2 call proc(20,?);

DECLARE Variables

// DECLARE 變數宣告
BEGIN ATOMIC
   DECLARE aaa, bbb, ccc SMALLINT DEFAULT 1;
   DECLARE ddd CHAR(10) DEFAULT NULL;
   DECLARE eee INTEGER;
   SET eee = aaa + 1;
   UPDATE staff
   SET comm = aaa
        ,salary = bbb
        ,years = eee
   WHERE id = 10;
END

GET DIAGNOSTICS

// GET 處理了多少算資料
BEGIN ATOMIC
   DECLARE numrows INT DEFAULT 0;
   UPDATE staff
   SET salary = 12345
   WHERE id < 100;
   GET DIAGNOSTICS numrows = ROW_COUNT; //要接著上面動作完執行
   UPDATE staff
   SET salary = numrows
   WHERE id = 10;
END

IF STATEMENT
BEGIN ATOMIC
   DECLARE cur INT;
   SET cur = MICROSECOND(CURRENT TIMESTAMP);
   IF cur > 600000 THEN
      UPDATE staff
      SET name = CHAR(cur)
      WHERE id = 10;
   ELSEIF cur > 300000 THEN
      UPDATE staff
      SET name = CHAR(cur)
      WHERE id = 20;
   ELSE
      UPDATE staff
      SET name = CHAR(cur)
      WHERE id = 30;
   END IF;
END

AVG Function

// 自動忽略計算 NULL
SELECT AVG(dept) AS a1
          ,AVG(ALL dept) AS a2
          ,AVG(DISTINCT dept) AS a3 // 重覆的只取一筆
          ,AVG(dept/10) AS a4 // 較不精確，因int除法會法除小數點
          ,AVG(dept)/10 AS a5
FROM staff
HAVING AVG(dept) > 40;

// 若 comm 為 0 的話就變成NULL，也就是不加入平均計算
SELECT AVG(salary) AS salary
          ,AVG(comm) AS comm1
          ,AVG(CASE comm
                    WHEN 0 THEN NULL
                    ELSE comm
                 END) AS comm2
FROM staff;

COUNT Function

// 計算筆數，NULL 不算
SELECT COUNT(*) AS c1
   ,COUNT(INT(comm/10)) AS c2
   ,COUNT(ALL INT(comm/10)) AS c3
   ,COUNT(DISTINCT INT(comm/10)) AS c4
   ,COUNT(DISTINCT INT(comm)) AS c5
   ,COUNT(DISTINCT INT(comm))/10 AS c6
FROM staff;

ANSWER
=================
C1 C2 C3 C4 C5 C6
-- -- -- -- -- --
35 24 24 19 24 2

MAX Function

// 取最大值，先 CHAR(id) 轉成 char 再排序
SELECT MAX(id) AS id
          ,MAX(CHAR(id)) AS chr
          ,MAX(DIGITS(id)) AS dig
FROM staff;

// 取最小值
SELECT MIN(dept)
          ,MIN(ALL dept)
          ,MIN(DISTINCT dept)
          ,MIN(DISTINCT dept/10)
FROM staff;

// 加總
SELECT SUM(dept) AS s1
          ,SUM(ALL dept) AS s2
          ,SUM(DISTINCT dept) AS s3
          ,SUM(dept/10) AS s4
          ,SUM(dept)/10 AS s5
FROM staff;

// RANK() 重覆資料有gap的排序，DENSE_RANK() 重覆資料無gap的排序，ROW_NUMBER() 依照前後排序
SELECT id
          ,years
          ,salary
          ,RANK() OVER(ORDER BY years) AS rank#
          ,DENSE_RANK() OVER(ORDER BY years) AS dense#
          ,ROW_NUMBER() OVER(ORDER BY years) AS row#
FROM staff
WHERE id < 100
          AND years IS NOT NULL
ORDER BY years;

ANSWER
===================================
ID YEARS SALARY RANK# DENSE# ROW#
-- ----- -------- ----- ------ ----
30 5 17506.75 1 1 1
40 6 18006.00 2 2 2
90 6 18001.75 2 2 3
10 7 18357.50 4 3 4
70 7 16502.83 4 3 5
20 8 18171.25 6 4 6
50 10 20659.80 7 5 7

// 多次排序
SMALLINT(RANK() OVER(ORDER BY job ASC ,years ASC ,id ASC)) AS asc3

// 決定 NULL 排在前或排在後
,DENSE_RANK() OVER(ORDER BY years ASC NULLS FIRST) AS AF
,DENSE_RANK() OVER(ORDER BY years ASC NULLS LAST ) AS AL

Partition Usage

// PARTITION，GROUP 化
SELECT id
          ,years AS YR
          ,salary
          ,RANK() OVER(PARTITION BY years ORDER BY salary) AS r1
FROM staff
WHERE id < 80 AND years IS NOT NULL
ORDER BY years ,salary;

ANSWER
=================
ID YR SALARY R1
-- -- -------- --
30 5 17506.75 1
40 6 18006.00 1
70 7 16502.83 1
10 7 18357.50 2
20 8 18171.25 1
50 0 20659.80 1

// 取得部門中薪資最高者
SELECT id
          ,salary
          ,dept AS dp
FROM (SELECT S1.*
           ,RANK() OVER(PARTITION BY dept
                              ORDER BY salary DESC) AS r1
           FROM staff s1
           WHERE id < 80 AND years IS NOT NULL)AS xxx
WHERE r1 = 1 ORDER BY dp;

// 配合 BETWEEN 可以找出 3~6 筆資料
SELECT * FROM (SELECT id ,name ,
                       ROW_NUMBER() OVER(ORDER BY id) AS r
              FROM staff WHERE id < 200 AND years IS NOT NULL)AS xxx WHERE r BETWEEN 3 AND 6
ORDER BY id;

// 每5筆列出來
SELECT * FROM (SELECT id ,name
                                      ,ROW_NUMBER() OVER(ORDER BY id) AS r
              FROM staff WHERE id < 200 AND years IS NOT NULL )AS xxx WHERE (r - 1) = ((r - 1) / 5) * 5 ORDER BY id;

// 要有 OVER() 才能把 rows 列出SUM(),AVG(),MAX(),MIX()...
SELECT id
          ,name
          ,salary
          ,SUM(salary) OVER() AS sum_sal
          ,AVG(salary) OVER() AS avg_sal
          ,MIN(salary) OVER() AS min_sal
          ,MAX(salary) OVER() AS max_sal
          ,COUNT(*) OVER() AS #rows
FROM staff
WHERE id < 60
ORDER BY id;

COALESCE Function

// 如果 comm 是 NULL 的話會轉成 0
SELECT id
          ,comm
          ,COALESCE(comm,0)
FROM staff
WHERE id < 30
ORDER BY id;

CONCAT Function

// 兩字串併在一起，下面三種結果都一樣
• "AB" || "CD"
• "AB" CONCAT "CD"
• CONCAT("AB","CD")
SELECT 'A' || 'B'
         ,'A' CONCAT 'B'
          ,CONCAT('A','B')
          ,'A' || 'B' || 'C'
          ,CONCAT(CONCAT('A','B'),'C')
FROM staff
WHERE id = 10;

DECIMAL Function

// DECIMAL 是有小數點的資料型態
WITH temp1(n1,n2,c1,c2) AS
(VALUES (123
            ,1E2
            ,'123.4'
            ,'567$8'))
SELECT DEC(n1,3) AS dec1
            ,DEC(n2,4,1) AS dec2
            ,DEC(c1,4,1) AS dec3
            ,DEC(c2,4,1,'$') AS dec4 // 指定小數點為 $
FROM temp1;

ANSWER
==========================
DEC1 DEC2 DEC3 DEC4
----- ------ ------ ------
123. 100.0 123.4 567.8

GENERATE_UNIQUE Function

// 產生唯一值，與時間有關
SELECT id
          ,GENERATE_UNIQUE() AS unique_val#1
          ,DEC(HEX(GENERATE_UNIQUE()),26) AS unique_val#2
FROM staff
WHERE id < 50
ORDER BY id;

ANSWER
================= ===========================
ID UNIQUE_VAL#1 UNIQUE_VAL#2
-- -------------- ---------------------------
10 20000901131648990521000000.
20 20000901131648990615000000.
30 20000901131648990642000000.
40 20000901131648990669000000.

RAND Function

// RAND() 得到 0~1 之間的亂數，以下列子表示取 table 1/10 的資料
SELECT id
          ,name
FROM staff
WHERE RAND() < 0.1
ORDER BY id;