## CASE statement page 3 |
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Let's consider a few more examples. Determine number of trips from Rostov to Moscow, and number of trips to other towns (not to Moscow). Here we can use additional computed column for grouping by it.
Determine total number of trips from Rostov, and number of trips from Rostov to towns other than Moscow. This problem requires to do grouping by two sets also, but now one set is a subset of another one. So exactly the same approach based on computed column is not fit here. In the previous task we had two non-intersecting sets to do grouping for each. To solve this task we can calculate count over total set and use subquery to calculate the count over subset (second referense to a table), or we can use CASE statement in the conjunction with aggregate function to avoid second reading of a table. Let's check the estimation of optimizer for these two variants. ## Use of subquery
## Use of CASE with aggregate function
The result will be the same naturally:
You can compare the real run time of these queries on sufficient large amount of data. The second variant can be rewritten in more short form with use of NULLIF function:
NULLIF function returns NULL, if its arguments are equal, or the first one otherwise. The solution exploits the fact that the aggregate functions don't take into account NULL values which arise in argument of COUNT function when the landing town is 'Moscow'. |

aggregate functions
Airport
ALL
AND
AS keyword
ASCII
AVG
Battles
Bezhaev
Bismarck
C.J.Date
calculated columns
Cartesian product
CASE
cast
CHAR
CHARINDEX
Chebykin
check constraint
classes
COALESCE
common table expressions
comparison predicates
Computer firm
CONSTRAINT
CONVERT
correlated subqueries
COUNT
CROSS APPLY
CTE
data type conversion
data types
database schema
DATEADD
DATEDIFF
DATENAME
DATEPART
DATETIME
date_time functions
DDL
DEFAULT
DEFAULT VALUES
DELETE
DISTINCT
DML
duplicates
edge
equi-join
EXCEPT
exercise (-2)
More tags

exercise 19
exercise 23
exercise 32
exercise 37
exercise 39
exercise 46
exercise 54
exercise 55
exercise 56
exercise 57
exercise 7
exercise 70
exercise 8
exercises
EXISTS
FLOAT
FOREIGN KEY
FROM
FULL JOIN
GROUP BY
grouping
Guadalcanal
HAVING
head ships
IDENTITY
IN
income
INFORMATION_SCHEMA
inner join
INSERT
INTERSECT
IS NOT NULL
IS NULL
ISNULL
join operations
laptop
launched year
LEFT
LEFT OUTER JOIN
LEN
LIKE
LTRIM
MAX
MIN
mistakes
money
MySQL
NATURAL JOIN
node
NOT
NOT IN
NULL
NULLIF
number sequences
number-sequence generation
numbering
ON DELETE CASCADE
OR
Oracle
ORDER BY
outcome
Outcomes
outer joins
OVER
paging
Painting
PARTITION BY
Pass_in_trip
PATINDEX
PC
PIVOT
PostgreSQL
predicates
primary key
printer
Product
Ranking functions
recursive CTE
renaming columns
REPLACE
RIGHT
RIGHT JOIN
ROUND
rounding
ROW_NUMBER
ships
sorting
SQL Server
SQL Server 2012
SQL-92
sql-ex.ru
string functions
subquery
SUBSTRING
SUM
tables join
tips and solutions
Torus
Transact-SQL
Trip
TRUNCATE TABLE
type conversion
UNION
UNION ALL
UNKNOWN
UNPIVOT
UPDATE
varchar
WHERE
window functions
WITH
XML
XPath
XQuery

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