I have a passenger_information table where the columns are like booking_id, gender_id, passenger_name and passenger_age. I need to select the number of adults seats both male and female booked and also the child seats both male and female.
The gender_id table defines 24 as male and 25 as female. To differentiate between child and adults seats we use passenger_age where the age for the child should not exceed 11 years.
I am trying to write a query to get the details based on booking_id but failing miserably.
Can some one help me out with this?
Somnething like this:
select
booking_id
, sum(case when gender_id = 24 and passenger_age > 11 then 1 else 0 end) adult_male
, sum(case when gender_id = 25 and passenger_age > 11 then 1 else 0 end) adult_female
, sum(case when gender_id = 24 and passenger_age <= 11 then 1 else 0 end) child_male
, sum(case when gender_id = 24 and passenger_age <= 11 then 1 else 0 end) child_female
from passenger_information
group by booking_id
Try using Group by AND UNION.
Select
booking_id,
CASE gender_id WHEN 24 then 'Adult - Male'
ELSE 'Adult - Female' END as 'Gender',
count(booking_id)
FROM passenger_information
WHERE passenger_age>11
Group by booking_id,gender_id
UNION
Select
booking_id,
CASE gender_id WHEN 24 then 'Child - Male'
ELSE 'Child - Female' END as 'Gender',
count(booking_id)
FROM passenger_information
WHERE passenger_age<=11
Group by booking_id,gender_id
Related
Someone knows how i can group ages witch the CASE statement?
I got the ages 14,15,16,17,18,19,20,21,22,23,24,25. I want groups like <18,19,20,>21
I started like:
Case age when BETWEEN 14 AND 18 THEN sum(age)
when >=21 THEN sum(age)
ELSE age END as age_groups
But i think aggregate functions don't work in CASE statements, at least it brings up an error.
CASE statement would work, you have a syntax error, your query would be:
SELECT Case when age BETWEEN 14 AND 18 THEN '14 - 18'
when age >=21 THEN '>=21'
ELSE age END as age_groups, SUM(age)
FROM YOUR_TABLE
GROUP BY Case when age BETWEEN 14 AND 18 THEN '14 - 18'
when age >=21 THEN '>=21'
ELSE age END
Use a CTE to calculate the age_groups, and then you can normally sum the ages for each group.
WITH age_groups AS (
SELECT Age,
Case when age BETWEEN 14 AND 18 THEN '14 - 18'
when age >=21 THEN '>=21'
ELSE age END as age_group
FROM YOUR_TABLE
)
SELECT age_group, sum(Age)
FROM age_groups
GROUP BY age_group
Another neat alternative is to place the CASE inside a CROSS APPLY (VALUES so you can then refer to it in other parts of the query without repetition:
SELECT
v.age_group,
SUM(Age)
FROM age_groups ag
CROSS APPLY (VALUES (
CASE WHEN ag.age BETWEEN 14 AND 18 THEN '14 - 18'
WHEN ag.age >= 21 THEN '>=21'
ELSE CAST(ag.age AS varchar(10)) END
) ) v(age_group)
GROUP BY v.age_group
You can use Case inside Sum():
select
Sum(Case when age < 18 then 1 end) '<18',
Sum(Case when age = 19 then 1 end) '19',
Sum(Case when age = 20 then 1 end) '20',
Sum(Case when age > 20 then 1 end) '>20'
from myTable;
DBFiddle demo is here
EDIT: If you meant to get the results vertically, still keep it simple:
select '<18' as ageGroup, Sum(Case when age < 18 then 1 end) total from myTable
union
select '19', Sum(Case when age = 19 then 1 end) from myTable
union
select '20', Sum(Case when age = 20 then 1 end) from myTable
union
select '20>', Sum(Case when age > 20 then 1 end) from myTable;
How can i merge the values without including '0' values.
SELECT DATE_PART('YEAR', BIRTHDATE), SUM(CASE WHEN GENDER = 'M' THEN 1 ELSE 0 END) MAN,
SUM(CASE WHEN GENDER = 'F' THEN 1 ELSE 0 END) as FEMALE FROM TABLE
GROUP BY 1
My output
YEAR MAN FEMALE
1970 2 0
1970 0 5
1971 3 0
1971 0 2
Desired output
YEAR MAN FEMALE
1970 2 5
1971 3 2
I have tried it with another counting from MAN and FEMALE, but that doesnt work.
Your query should work, although I would recommend writing it as:
SELECT DATE_PART('YEAR', BIRTHDATE) as year,
COUNT(*) FILTER (WHERE GENDER = 'M') as MAN,
COUNT(*) FILTER (WHERE GENDER = 'F') as FEMALE
FROM TABLE
GROUP BY year;
Your results suggest that you are really using something like:
GROUP BY 1, gender
simply you need to correct your Group By syntaxe,
Group By DATE_PART('YEAR', BIRTHDATE)
SELECT CASE
WHEN age BETWEEN 1 AND 25 THEN '1-25'
WHEN age BETWEEN 26 AND 35 THEN '26-35'
WHEN age BETWEEN 36 AND 45 THEN '36-45'
WHEN age BETWEEN 46 AND 55 THEN '46-55'
WHEN age >= 56 THEN '56+'
END AS Age_Range,
Sum(CASE
WHEN gender = 'Male' THEN 1
ELSE 0
END) AS "M Count",
Sum(CASE
WHEN gender = 'Female' THEN 1
ELSE 0
END) AS "F Count",
Sum(CASE
WHEN gender = 'Unk' THEN 1
ELSE 0
END) AS "Unk Count"
FROM dm_owner.v_individualbrand
WHERE Trunc(txn_date) BETWEEN '01-JAN-18' AND '31-DEC-18'
AND brandcode = 'HT'
GROUP BY CASE
WHEN age BETWEEN 1 AND 25 THEN '1-25'
WHEN age BETWEEN 26 AND 35 THEN '26-35'
WHEN age BETWEEN 36 AND 45 THEN '36-45'
WHEN age BETWEEN 46 AND 55 THEN '46-55'
WHEN age >= 56 THEN '56+'
END
ORDER BY age_range;
I am trying to add 2 more columns which are the count of transactions and total sales. My table should look like:
You want to extend your conditional aggregate. Your current counts would seem to be transaction counts, unless that is a separate column in the table.
The query would be like this:
SELECT (CASE WHEN age BETWEEN 1 AND 25 THEN '1-25'
WHEN age BETWEEN 26 AND 35 THEN '26-35'
WHEN age BETWEEN 36 AND 45 THEN '36-45'
WHEN age BETWEEN 46 AND 55 THEN '46-55'
WHEN age >= 56 THEN '56+'
END) as Age_Range,
Sum(CASE WHEN gender = 'Male' THEN 1 ELSE 0 END) AS "M Count",
Sum(CASE WHEN gender = 'Male' THEN sales ELSE 0 END) AS "M Sales",
Sum(CASE WHEN gender = 'Female' THEN 1 ELSE 0 END) AS "F Count",
Sum(CASE WHEN gender = 'Female' THEN sales ELSE 0 END) AS "F Sales",
Sum(CASE WHEN gender = 'Unk' THEN 1 ELSE 0 END) AS "Unk Count"
Sum(CASE WHEN gender = 'Unk' THEN sales ELSE 0 END) AS "Unk Sales"
FROM dm_owner.v_individualbrand
WHERE txn_date >= DATE '2018-01-01' AND
txn_date < DATE '2019-01-01' AND
brandcode = 'HT'
GROUP BY (CASE WHEN age BETWEEN 1 AND 25 THEN '1-25'
WHEN age BETWEEN 26 AND 35 THEN '26-35'
WHEN age BETWEEN 36 AND 45 THEN '36-45'
WHEN age BETWEEN 46 AND 55 THEN '46-55'
WHEN age >= 56 THEN '56+'
END)
ORDER BY MIN(age);
I am having one base table named test_table on which I am doing calculation of the age and it is coming as per expectation.
Here is the query I am using for age calculation.
select acol,
DATEDIFF(hour,CONVERT(DATEADD('SECOND', (epoch_time)/1000, DATE '1970-01-01'), DATE), CURRENT_TIMESTAMP()) AS age
from test_table;
But now I want to create different range of age column which will be displayed as a result by modifying the existing query.
Range would be :
1000-2000
2000-3000
3000-4000
ACOL AGE
MAG 1168
MAG 2168
MAG 3168
MAG 1100
MAG 2168
PNB 1672
MUM 1600
MUM 2696
MUM 3696
MUM 1696
Result after successful query has to look like below table.
ACOL 1000-2000 2000-3000 3000-4000
MAG 2 2 1
PNB 1 0 0
MUM 2 1 1
I know that we can do this using select case but not able to build the working query.
can anyone help me in this.
thanks in advance.
You can use conditional aggregation with a CASE expression:
SELECT t.ACOL,
SUM(CASE WHEN t.AGE >= 1000 AND t.AGE < 2000 THEN t.AGE ELSE 0 END) AS `1000-2000`,
SUM(CASE WHEN t.AGE < 3000 THEN t.AGE ELSE 0 END) AS `2000-3000`,
SUM(CASE WHEN t.AGE < 3000 AND t.AGE < 4000 THEN t.AGE ELSE 0 END) AS `3000-4000`
FROM
(
SELECT ACOL,
DATEDIFF(HOUR, CONVERT(DATEADD(SECOND, (epoch_time)/1000, DATE '1970-01-01'), DATE), CURRENT_TIMESTAMP()) AS AGE
FROM test_table
) t
GROUP BY t.ACOL
SELECT ACOL,
COUNT(CASE WHEN AGE >= 1000 AND AGE < 2000 THEN AGE ELSE NULL END) AS `1000-2000`,
COUNT(CASE WHEN AGE >= 2000 AGE < 3000 THEN AGE ELSE NULL END) AS `2000-3000`,
COUNT(CASE WHEN AGE >= 3000 AND AGE < 4000 THEN AGE ELSE NULL END) AS `3000-4000`
FROM (select ACOL,DATEDIFF(hour,CONVERT(DATEADD('SECOND', (epoch_time)/1000, DATE '1970-01-01'), DATE), CURRENT_TIMESTAMP()) AS AGE FROM test_table )
GROUP BY ACOL
Modified the from clause...
Working ...
:)
I'm trying to create this summary statistic table, counting the number of individuals in each category
Agegroup | All | Female | Male
------------------------------------------------
All | 560594 | 34324 | 234244
< 20 | 4324 | 545 | 3456
20 - 30 | 76766 | 3424 | 32428
30 - 40 | 36766 | 764 | 82427
40 - 50 | 46766 | 4324 | 72422
50 - 60 | 66766 | 3424 | 52424
> 60 | 76766 | 43424 | 12423
from this table
PersonID | Age | Sex
----------------------------
A | 43 | F
B | 22 | F
C | 65 | M
D | 33 | F
E | 28 | M
Is this even possible "in one go" with SQL? I experimented with this, but it's not really coming together..
SELECT SUM(CASE WHEN Age < 20 THEN 1 ELSE 0 END) AS [Under 20],
SUM(CASE WHEN Age BETWEEN 20 AND 30 THEN 1 ELSE 0 END) AS [20-30],
SUM(CASE WHEN Age BETWEEN 30 AND 40 THEN 1 ELSE 0 END) AS [30-40]
FROM Persons
I believe the below is the simplest way to achieve this, and also get the row back even if there are no people within that age range. Also since Sex only has 2 possible values you can use NULLIF instead of the case expression.
SELECT [Agegroup] = Name,
[All] = COUNT(Person.PersonID),
[Female] = COUNT(NULLIF(Person.Sex, 'M')),
[Male] = COUNT(NULLIF(Person.Sex, 'F'))
FROM (VALUES
(0, 1000, 'All'),
(0, 20, '< 20'),
(20, 30, '20 - 30'),
(30, 40, '30 - 40'),
(40, 50, '40 - 40'),
(50, 60, '50 - 40'),
(60, 1000, '> 60')
) AgeRange (MinValue, MaxValue, Name)
LEFT JOIN Person
ON Person.Age >= AgeRange.MinValue
AND Person.Age < AgeRange.Maxvalue
GROUP BY AgeRange.Name, AgeRange.MinValue, AgeRange.Maxvalue
ORDER BY AgeRange.MinValue, AgeRange.MaxValue DESC
Example on SQL Fiddle
Maybe something like this:
DECLARE #T TABLE(PersonID VARCHAR(5), Age INT,Sex VARCHAR(5))
INSERT INTO #T
VALUES
('A',43,'F'),
('B',22 ,'F'),
('C ',65,'M'),
('D',33,'F'),
('E',28,'M')
SQL
SELECT
'All' AS Agegroup,
COUNT(*) AS [All],
SUM(CASE WHEN tbl.Sex='F' THEN 1 ELSE 0 END) AS Female,
SUM(CASE WHEN tbl.Sex='M' THEN 1 ELSE 0 END) AS Male
FROM
#T AS tbl
UNION ALL
SELECT
tbl.Agegroup,
COUNT(*) AS [All],
SUM(CASE WHEN tbl.Sex='F' THEN 1 ELSE 0 END) AS Female,
SUM(CASE WHEN tbl.Sex='M' THEN 1 ELSE 0 END) AS Male
FROM
(
SELECT
(
CASE
WHEN Age BETWEEN 0 and 20
THEN '< 20'
WHEN Age BETWEEN 20 and 30
THEN '20 - 30'
WHEN Age BETWEEN 30 and 40
THEN '30 - 40'
WHEN Age BETWEEN 40 and 50
THEN '40 - 50'
WHEN Age BETWEEN 50 and 60
THEN '50 - 60'
WHEN Age> 60
THEN '> 60'
END
) AS Agegroup,
t.Age,
t.Sex
FROM
#T AS t
) AS tbl
GROUP BY
tbl.Agegroup
Your best pattern would be to create an age range table (or virtual table as in the example below) and join to it, then pivot the results to get your results into a columnar form.
select range as AgeGroup, m as Male, F as Female, m+f as [all]
from
(
select PersonID, range, sex
from
(
select 'all' as range, 0 as minval, 200 as maxval
union select '<20',0,19
union select '20-29',20,29
-- etc....
) ranges
left join
yourtable t
on t.age between minval and maxval
) src
pivot
(count(personid) for sex in ([m],[f])) p
try this:
;with Age_range as(
select '<20' as age union all
select '20 - 30' as age union all
select '30 - 40' as age union all
select '40 - 50' as age union all
select '50 - 60' as age union all
select '>60' as age
),
cte as(
select [Sex],
sum(case when [Age]<20 then 1 else 0 end) as '<20' ,
sum(case when [Age]between 20 and 29 then 1 else 0 end) as '20 - 30',
sum(case when [Age]between 30 and 39 then 1 else 0 end) as '30 - 40',
sum(case when [Age]between 40 and 49 then 1 else 0 end) as '40 - 50',
sum(case when [Age]between 50 and 59 then 1 else 0 end) as '50 - 60',
sum(case when [Age]>=60 then 1 else 0 end) as '>60'
from Persons
group by [Sex]),
cte1 as(select Sex,'<20' as cnt from cte where [<20]>0 union all
select Sex,'20 - 30' as cnt from cte where [20 - 30]>0 union all
select Sex,'30 - 40' as cnt from cte where [30 - 40]>0 union all
select Sex,'40 - 50' as cnt from cte where [40 - 50]>0 union all
select Sex,'50 - 60' as cnt from cte where [50 - 60]>0 union all
select Sex,'>60' as cnt from cte where [>60]>0)
select A.age,
COUNT(case when sex in ('M','F') then 1 end) as [All],
COUNT(case when sex='F' then 1 end) as Female,
COUNT(case when sex='M' then 1 end) as Male
from Age_range A left join cte1 C
on A.age=C.cnt
group by A.age
SQL Fiddle Demo
select 'All' as [Age Group]
. count(*) as [All],
, sum(case Sex when 'F' then 1 end) as Female
, sum(case Sex when 'M' then 1 end) as Male
from Persons
union all
select '< 20' as [Age Group]
. count(*) as [All],
, sum(case Sex when 'F' then 1 end) as Female
, sum(case Sex when 'M' then 1 end) as Male
from Persons
where Age < 20
union all
select '20 - 30' as [Age Group]
. count(*) as [All],
, sum(case Sex when 'F' then 1 end) as Female
, sum(case Sex when 'M' then 1 end) as Male
from Persons
where 20 <= Age and Age < 30
union all
...