###################################### if usage


select * from (select *,if (b.name is null ,true,false ) as bo from test1 a  left join test2 b on a.name =b.name ) t3;



t3.name t3.age  t3._col2        t3.id   t3.bo

lucy    18      NULL    NULL    true

lily    10      lily    1       false

jim     16      NULL    NULL    true

henry   19      NULL    NULL    true

Time taken: 11.266 seconds, Fetched: 4 row(s)



####################################### COALESCE usage

select * from (select *, COALESCE(b.name is null ,true ) as bool from test1 a  left join test2 b on a.name =b.name ) t3;

OK

t3.name t3.age  t3._col2        t3.id   t3.bool

lucy    18      NULL    NULL    true

lily    10      lily    1       false

jim     16      NULL    NULL    true

henry   19      NULL    NULL    true

Time taken: 10.651 seconds, Fetched: 4 row(s)





CONDITIONAL FUNCTIONS IN HIVE

Hive supports three types of conditional functions. These functions are listed below:


IF( Test Condition, True Value, False Value ) 

The IF condition evaluates the “Test Condition” and if the “Test Condition” is true, then it returns the “True Value”. Otherwise, it

 returns the False Value.

Example: IF(1=1, 'working', 'not working') returns 'working'


COALESCE( value1,value2,... )



The COALESCE function returns the fist not NULL value from the list of values. If all the values in the list are NULL, then it retur

ns NULL. 

Example: COALESCE(NULL,NULL,5,NULL,4) returns 5


CASE Statement 


The syntax for the case statement is:

CASE  [ expression ]

  WHEN condition1 THEN result1

  WHEN condition2 THEN result2

  ...

  WHEN conditionn THEN resultn

  ELSE result

END

Here expression is optional. It is the value that you are comparing to the list of conditions. (ie: condition1, condition2, ... cond

itionn).



All the conditions must be of same datatype. Conditions are evaluated in the order listed. Once a condition is found to be true, the

 case statement will return the result and not evaluate the conditions any further.



All the results must be of same datatype. This is the value returned once a condition is found to be true.



IF no condition is found to be true, then the case statement will return the value in the ELSE clause. If the ELSE clause is omitted

 and no condition is found to be true, then the case statement will return NULL



Example:



CASE Fruit

  WHEN 'APPLE' THEN 'The owner is APPLE'

  WHEN 'ORANGE' THEN 'The owner is ORANGE'

  ELSE 'It is another Fruit'

END

The other form of CASE is



CASE

  WHEN Fruit = 'APPLE' THEN 'The owner is APPLE'

  WHEN Fruit = 'ORANGE' THEN 'The owner is ORANGE'

  ELSE 'It is another Fruit'

END



SELECT  SUM(population),
CASE country
WHEN '中国' THEN '亚洲'
WHEN '印度' THEN '亚洲'
WHEN '日本' THEN '亚洲'
WHEN '美国' THEN '北美洲'
WHEN '加拿大' THEN '北美洲'
WHEN '墨西哥' THEN '北美洲'
ELSE '其他' END
FROM Table_A
GROUP BY CASE country
WHEN '中国' THEN '亚洲'
WHEN '印度' THEN '亚洲'
WHEN '日本' THEN '亚洲'
WHEN '美国' THEN '北美洲'
WHEN '加拿大' THEN '北美洲'
WHEN '墨西哥' THEN '北美洲'
ELSE '其他' END;



同样的,我们也可以用这个方法来判断工资的等级,并统计每一等级的人数。SQL代码如下; 

SELECT
CASE WHEN salary <= 500 THEN '1'
WHEN salary > 500 AND salary <= 600 THEN '2'
WHEN salary > 600 AND salary <= 800 THEN '3'
WHEN salary > 800 AND salary <= 1000 THEN '4'
ELSE NULL END salary_class,
COUNT(*)
FROM Table_A
GROUP BY
CASE WHEN salary <= 500 THEN '1'
WHEN salary > 500 AND salary <= 600 THEN '2'
WHEN salary > 600 AND salary <= 800 THEN '3'
WHEN salary > 800 AND salary <= 1000 THEN '4'
ELSE NULL END;