I have a query:
SELECT
count(session_id_open) as opens,
count(session_id_visit) as visits,
date_intervals_open,
group_concat(date_intervals_visit)
FROM
bla
GROUP BY date_intervals_open
I get following table. What I need is to find percentage wise the occurrences of each value appearing in group_concat. So, basically, I need to count number of values (date_intervals_visit) in each group (data_intervals_open)
opens visits date_intervals_open group_concat
213 5 day (12-16) evening (17-21),evening (17-21),day (12-16),day (12-16),day (12-16)
113 0 evening (17-21) NULL
11 0 late evening (22-00) NULL
396 12 morning (5-11) morning (5-11),morning (5-11),morning (5-11),morning (5-11),morning (5-11),morning (5-11),morning (5-11),morning (5-11),morning (5-11),morning (5-11),morning (5-11),morning (5-11)
9 0 night (1-4) NULL
That is approximately the table that I need to get. in First record evening has 40 because "evening (17-21)" appears twice and the number of all occurrences is 5. 2/5*100=40
opens visits date_intervals_open evening(17-21) day(12-16) morning (5-11)
213 5 day (12-16) 40 60 0
113 0 evening (17-21) NULL NULL NULL
11 0 late evening (22-00) NULL NULL NULL
396 12 morning (5-11) 0 0 100
9 0 night (1-4) NULL
PS: I used group_concat just to visualize the value that I have there. I do not have to use it as it will be an additional effort to parse it afterwards.
You essentially need a pivot, with some further calculations. The basis of my answer comes from the following excellent SO topic on pivoting records in MySQL . I assume that you have a fixed number of date_intervals_visit
values, as these values seem to cover the entire day, therefore I use the conditional count approach with fixed number of counts. I'll add 2 categories in the sample code, you can extend it to cover all date_intervals_visit
values.
SELECT
count(session_id_open) as opens,
count(session_id_visit) as visits,
date_intervals_open,
round(sum(if(date_intervals_visit='morning (5-11)',1,0)) / count(session_id_visit) * 100,2) as `morning (5-11)`,
round(sum(if(date_intervals_visit='day (12-16)',1,0)) / count(session_id_visit) * 100,2) as `day (12-16)`
FROM
bla
GROUP BY date_intervals_open
If it is possible to have 0 visits by date_intervals_open
value, then you need to check for 0 in the expression:
if(count(session_id_visit)=0, 0, <above formula>)
SELECT
count(session_id_open) as opens,
@visits := count(session_id_visit) as visits,
date_intervals_open,
ROUND(100 * SUM(date_intervals_visit = 'evening(17-21)') / @visits) AS 'evening(17-21)',
ROUND(100 * SUM(date_intervals_visit = 'day (12-16)') / @visits) AS 'day (12-16)',
ROUND(100 * SUM(date_intervals_visit = 'morning (5-11)') / @visits)'morning (5-11)',
FROM
bla
GROUP BY date_intervals_open
Use a function like this:
CREATE FUNCTION [dbo].[fn_SplitString](
@InputStr varchar(Max),
@Seperator varchar(10))
RETURNS @OutStrings TABLE (ItemNo int identity(1,1), Item varchar(256))
AS
BEGIN
DECLARE @Str varchar(2000),
@Poz int, @cnt int
--DECLARE @OutStrings TABLE (Item varchar(2000))
SELECT @Poz = CHARINDEX (@Seperator, @InputStr), @cnt = 0
WHILE @Poz > 0 AND @cnt <= 10000
BEGIN
SELECT @Str = SubString(@InputStr, 1, @Poz - 1)
INSERT INTO @OutStrings(Item) VALUES(@Str)
SELECT @InputStr = Right(@Inputstr, Len(@InputStr) - (len(@Str) + len(@Seperator)))
SELECT @Poz = CHARINDEX (@Seperator, @InputStr), @cnt = @cnt + 1
END
IF @InputStr <> ''
BEGIN
INSERT INTO @OutStrings(Item) VALUES(@InputStr)
END
RETURN
END
In the following way:
SELECT opens,
visits,
date_intervals_open,
[evening(17-21)]/[All]*100 AS [evening(17-21)],
[day(12-16)]/[All]*100 AS [day(12-16)],
[morning (5-11)]/[All]*100 AS [morning (5-11)]
FROM
(
SELECT
count(session_id_open) as opens,
count(session_id_visit) as visits,
date_intervals_open,
(SELECT COUNT(Item) FROM [dbo].[fn_SplitString](LTRIM(RTRIM(group_concat(date_intervals_visit))), ',') WHERE item = 'evening(17-21)') AS [evening(17-21)],
(SELECT COUNT(Item) FROM [dbo].[fn_SplitString](LTRIM(RTRIM(group_concat(date_intervals_visit))), ',') WHERE item = 'day(12-16)') AS [day(12-16)],
(SELECT COUNT(Item) FROM [dbo].[fn_SplitString](LTRIM(RTRIM(group_concat(date_intervals_visit))), ',') WHERE item = 'morning (5-11)') AS [morning (5-11)],
(SELECT COUNT(Item) FROM [dbo].[fn_SplitString](LTRIM(RTRIM(group_concat(date_intervals_visit))), ',')) AS [All]
FROM
bla
GROUP BY date_intervals_open
)blabla
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