I have the following query which works great. I would simply like to label the output (see below) following the dummy variables I created; '7a-7p' '7p-7a'.
Select
count([SHIFT_Type]) as Count
FROM
(
Select
CASE WHEN Checkin_hour >= 7 and Checkin_hour < 19 then '7a-7p' else '7p-7a' END AS [SHIFT_Type]
FROM (
Select *,
CONVERT(VARCHAR(10),CHECKIN_DATE_TIME,111) as Checkin_date, DATEPART(Hour, CHECKIN_DATE_TIME) as Checkin_hour, DATEPART(DW, CHECKIN_DATE_TIME) as Day_of_Week, [Day] = DATENAME(WEEKDAY, CHECKIN_DATE_TIME),
Row_Number () Over (Partition BY Patient_Fin order BY Patient_Fin) as RowNumber
FROM COVID_TAT
WHERE (CHECKIN_DATE_TIME > #StartDate and CHECKIN_DATE_TIME < #EndDate) and PT_DISCH_DISPO not like '%Error%'
and PT_DISCH_DISPO not like '%no show%' and PT_DISCH_DISPO not like'%Left Without Treatment%' and DOCTORSEE_DATE_TIME not like 'null'
and TRACK_GROUP like '%ED Track%'
)sub
)sub
Group By [SHIFT_Type]
CURRENT OUTPUT
Count
1 64
2 39
DESIRED OUTPUT
Count
7a-7p 64
7p-7a 39
The "label" is already available in the intermediate subquery, and you use it as a
GROUP BY column in the outer query. Just add it to the SELECT clause:
SELECT [SHIFT_Type], count([SHIFT_Type]) as Count
FROM ...
GROUP BY [SHIFT_Type]
Related
I am writing a SQL query using with as expression. I always get a result in the square of what I required.
This is my query:
DECLARE #MAX_DATE AS INT
SET #MAX_DATE = (SELECT DATEPART(MONTH,FECHA) FROM ALBVENTACAB WHERE NUMALBARAN IN (SELECT DISTINCT MAX(NUMALBARAN) FROM ALBVENTACAB));
;WITH TABLE_LAST AS (
SELECT CONCAT(DATEPART(MONTH,FECHA),'-',DATEPART(YEAR,FECHA)) as LAST_YEAR_MONTH
,SUM(TOTALNETO) AS LAST_YEAR_VALUE
FROM ALBVENTACAB
WHERE DATEPART(YEAR,CURRENT_TIMESTAMP) -1 = DATEPART(YEAR,FECHA) AND NUMSERIE LIKE 'A%'
AND DATEPART(MONTH,FECHA) <= #MAX_DATE
GROUP BY CONCAT(DATEPART(MONTH,FECHA),'-',DATEPART(YEAR,FECHA))
)
,TABLE_CURRENT AS(
SELECT CONCAT(DATEPART(MONTH,FECHA),'-',DATEPART(YEAR,FECHA)) as CURR_YEAR_MONTH
,SUM(TOTALNETO) AS CURR_YEAR_VALUE
FROM ALBVENTACAB
WHERE DATEPART(YEAR,CURRENT_TIMESTAMP) <= DATEPART(YEAR,FECHA) AND NUMSERIE LIKE 'A%'
GROUP BY CONCAT(DATEPART(MONTH,FECHA),'-',DATEPART(YEAR,FECHA))
)
SELECT *
FROM TABLE_CURRENT, TABLE_LAST
When I run the query I get exactly the square of the result.
I want to compare sale monthly with last year.
2-2020 814053.3 2-2019 840295.1
1-2020 1094993.65 2-2019 840295.1
3-2020 293927.3 2-2019 840295.1
2-2020 814053.3 1-2019 1050701.68
1-2020 1094993.65 1-2019 1050701.68
3-2020 293927.3 1-2019 1050701.68
2-2020 814053.3 3-2019 887776.1
1-2020 1094993.65 3-2019 887776.1
3-2020 293927.3 3-2019 887776.1
I should get only 3 rows instead of 9 rows.
You need to properly join your two CTE - the way you're doing it now, you're getting a Cartesian product of each row in either CTE together.
Do something like:
*;WITH TABLE_LAST AS
( ....
),
TABLE_CURRENT AS
( ....
)
SELECT *
FROM TABLE_CURRENT curr
INNER JOIN TABLE_LAST last ON (some join condition here)
What that join condition is going to be - I have no idea, and cannot tell from your question - but you have to define how these two sets of data "connect" ....
It could be something like:
SELECT *
FROM TABLE_CURRENT curr
INNER JOIN TABLE_LAST last ON curr.CURR_YEAR_MONTH = last.LAST_YEAR_MONT
or whatever else makes sense in your situation - but basically, you need to somehow "tie together" these two sets of data and get only those rows that make sense - not just every row from "last" combined with every row from "curr" ....
While you already got the answer on how to join the two results, I thought I'd tell you how to typically approach such problems.
From the same table, you want two sums on different conditions (different years that is). You solve this with conditional aggregation, which does just that: aggregate (sum) based on a condition (year).
select
datepart(month, fecha) as month,
sum(case when datepart(year, fecha) = datepart(year, getdate()) then totalneto end) as this_year,
sum(case when datepart(year, fecha) = datepart(year, getdate()) -1 then totalneto end) as last_year
from albventacab
where numserie like 'A%'
and fecha > dateadd(year, -2, getdate())
group by datepart(month, fecha)
order by datepart(month, fecha);
I have a table as like below
and I am expecting a output like below
I tried this query:
select
Emp1.EmployeeCode, Emp2.DateStart, Emp1.CompanyCode, Emp1.DepartmentCode
from
(select
EmployeeCode, CompanyCode, DepartmentCode,
datepart(year, DateStart) as StartDate
from
TblEmployeeDetail
group by
EmployeeCode, CompanyCode, DepartmentCode, datepart(year,DateStart)
having
count(*) > 1) as Emp1
join
TblEmployeeDetail Emp2 on Emp1.CompanyCode = Emp2.CompanyCode
and Emp1.DepartmentCode = Emp2.DepartmentCode
and Emp1.EmployeeCode = Emp2.EmployeeCode
and Emp1.StartDate = datepart(year, Emp2.DateStart)
Need help. Thank you
You can try below way - use min() and max() to get two separate date
select EmployeeCode,CompanyCode,DepartmentCode,min(datestart) as datestart1,max(datestart) as datestart2,
from TblEmployeeDetail
group by EmployeeCode,CompanyCode,DepartmentCode,DATEPART(year,DateStart)
having count(*) > 1
I have a table that has data like following.
attr |time
----------------|--------------------------
abc |2018-08-06 10:17:25.282546
def |2018-08-06 10:17:25.325676
pqr |2018-08-05 10:17:25.366823
abc |2018-08-06 10:17:25.407941
def |2018-08-05 10:17:25.449249
I want to group them and count by attr column row wise and also create additional columns in to show their counts per day and percentages as shown below.
attr |day1_count| day1_%| day2_count| day2_%
----------------|----------|-------|-----------|-------
abc |2 |66.6% | 0 | 0.0%
def |1 |33.3% | 1 | 50.0%
pqr |0 |0.0% | 1 | 50.0%
I'm able to display one count by using group by but unable to find out how to even seperate them to multiple columns. I tried to generate day1 percentage with
SELECT attr, count(attr), count(attr) / sum(sub.day1_count) * 100 as percentage from (
SELECT attr, count(*) as day1_count FROM my_table WHERE DATEPART(week, time) = DATEPART(day, GETDate()) GROUP BY attr) as sub
GROUP BY attr;
But this also is not giving me correct answer, I'm getting all zeroes for percentage and count as 1. Any help is appreciated. I'm trying to do this in Redshift which follows postgresql syntax.
Let's nail the logic before presenting:
with CTE1 as
(
select attr, DATEPART(day, time) as theday, count(*) as thecount
from MyTable
)
, CTE2 as
(
select theday, sum(thecount) as daytotal
from CTE1
group by theday
)
select t1.attr, t1.theday, t1.thecount, t1.thecount/t2.daytotal as percentofday
from CTE1 t1
inner join CTE2 t2
on t1.theday = t2.theday
From here you can pivot to create a day by day if you feel the need
I am trying to enhance the query #johnHC btw if you needs for 7days then you have to those days in case when
with CTE1 as
(
select attr, time::date as theday, count(*) as thecount
from t group by attr,time::date
)
, CTE2 as
(
select theday, sum(thecount) as daytotal
from CTE1
group by theday
)
,
CTE3 as
(
select t1.attr, EXTRACT(DOW FROM t1.theday) as day_nmbr,t1.theday, t1.thecount, t1.thecount/t2.daytotal as percentofday
from CTE1 t1
inner join CTE2 t2
on t1.theday = t2.theday
)
select CTE3.attr,
max(case when day_nmbr=0 then CTE3.thecount end) as day1Cnt,
max(case when day_nmbr=0 then percentofday end) as day1,
max(case when day_nmbr=1 then CTE3.thecount end) as day2Cnt,
max( case when day_nmbr=1 then percentofday end) day2
from CTE3 group by CTE3.attr
http://sqlfiddle.com/#!17/54ace/20
In case that you have only 2 days:
http://sqlfiddle.com/#!17/3bdad/3 (days descending as in your example from left to right)
http://sqlfiddle.com/#!17/3bdad/5 (days ascending)
The main idea is already mentioned in the other answers. Instead of joining the CTEs for calculating the values I am using window functions which is a bit shorter and more readable I think. The pivot is done the same way.
SELECT
attr,
COALESCE(max(count) FILTER (WHERE day_number = 0), 0) as day1_count, -- D
COALESCE(max(percent) FILTER (WHERE day_number = 0), 0) as day1_percent,
COALESCE(max(count) FILTER (WHERE day_number = 1), 0) as day2_count,
COALESCE(max(percent) FILTER (WHERE day_number = 1), 0) as day2_percent
/*
Add more days here
*/
FROM(
SELECT *, (count::float/count_per_day)::decimal(5, 2) as percent -- C
FROM (
SELECT DISTINCT
attr,
MAX(time::date) OVER () - time::date as day_number, -- B
count(*) OVER (partition by time::date, attr) as count, -- A
count(*) OVER (partition by time::date) as count_per_day
FROM test_table
)s
)s
GROUP BY attr
ORDER BY attr
A counting the rows per day and counting the rows per day AND attr
B for more readability I convert the date into numbers. Here I take the difference between current date of the row and the maximum date available in the table. So I get a counter from 0 (first day) up to n - 1 (last day)
C calculating the percentage and rounding
D pivot by filter the day numbers. The COALESCE avoids the NULL values and switched them into 0. To add more days you can multiply these columns.
Edit: Made the day counter more flexible for more days; new SQL Fiddle
Basically, I see this as conditional aggregation. But you need to get an enumerator for the date for the pivoting. So:
SELECT attr,
COUNT(*) FILTER (WHERE day_number = 1) as day1_count,
COUNT(*) FILTER (WHERE day_number = 1) / cnt as day1_percent,
COUNT(*) FILTER (WHERE day_number = 2) as day2_count,
COUNT(*) FILTER (WHERE day_number = 2) / cnt as day2_percent
FROM (SELECT attr,
DENSE_RANK() OVER (ORDER BY time::date DESC) as day_number,
1.0 * COUNT(*) OVER (PARTITION BY attr) as cnt
FROM test_table
) s
GROUP BY attr, cnt
ORDER BY attr;
Here is a SQL Fiddle.
I need to select the last 12 months. As you can see on the picture, May occurs two times.
But I only want it to occur once. And it needs to be the newest one.
Plus, the table should stay in this structure, with the latest month on the bottom.
And this is the query:
SELECT Monat2,
Monat,
CASE WHEN NPLAY_IND = '4P'
THEN 'QuadruplePlay'
WHEN NPLAY_IND = '3P'
THEN 'TriplePlay'
WHEN NPLAY_IND = '2P'
THEN 'DoublePlay'
WHEN NPLAY_IND = '1P'
THEN 'SinglePlay'
END AS Series,
Anzahl as Cnt
FROM T_Play_n
where NPLAY_IND != '0P'
order by Series asc ,Monat
This is the new query
SELECT sub.Monat2,sub.Monat,
CASE WHEN NPLAY_IND = '4P'
THEN 'QuadruplePlay'
WHEN NPLAY_IND = '3P'
THEN 'TriplePlay'
WHEN NPLAY_IND = '2P'
THEN 'DoublePlay'
WHEN NPLAY_IND = '1P'
THEN 'SinglePlay'
END
AS Series, Anzahl as Cnt FROM (SELECT ROW_NUMBER () OVER (PARTITION BY Monat2 ORDER BY Monat DESC)rn,
Monat2,
Monat,
Anzahl,
NPLAY_IND
FROM T_Play_n)sub
where sub.rn = 1
It does only show the months once but it doesn't do that for every Series.
So with every Play it should have 12 months.
In Oracle and SQL-Server you can use ROW_NUMBER.
name = month name and num = month number:
SELECT sub.name, sub.num
FROM (SELECT ROW_NUMBER () OVER (PARTITION BY name ORDER BY num DESC) rn,
name,
num
FROM tab) sub
WHERE sub.rn = 1
ORDER BY num DESC;
WITH R(N) AS
(
SELECT 0
UNION ALL
SELECT N+1
FROM R
WHERE N < 12
)
SELECT LEFT(DATENAME(MONTH,DATEADD(MONTH,-N,GETDATE())),3) AS [month]
FROM R
The With R(N) is a Common Table Expression.The R is the name of the result set (or table) that you are generating. And the N is the month number.
In SQL Server you can do It in following:
SELECT DateMonth, DateWithMonth -- Specify columns to select
FROM Tbl -- Source table
WHERE CAST(CAST(DateWithMonth AS INT) * 100 + 1 AS VARCHAR(20)) >= DATEADD(MONTH, -12,GETDATE()) -- Condition to return data for last 12 months
GROUP BY DateMonth, DateWithMonth -- Uniqueness
ORDER BY DateWithMonth -- Sorting to get latest records on the bottom
So it sounds like you want to select rows that contain the last occurrence of months. Something like this should work:
select * from [table_name]
where id in (select max(id) from [table_name] group by [month_column])
The last select in the brackets will get a list of id's for the last occurrence of each month. If the year+month column you have shown is not in descending order already, you might want to max this column instead.
You can use something like this(the table dbo.Nums contains int values from 0 to 11)
SELECT DATEADD(MONTH, DATEDIFF(MONTH, '19991201', CURRENT_TIMESTAMP) + n - 12, '19991201'),
DATENAME(MONTH,DateAdd(Month, DATEDIFF(month, '19991201', CURRENT_TIMESTAMP) + n - 12, '19991201'))
FROM dbo.Nums
I suggest to use a group by for the month name, and a max function for the numeric component. If is not numeric, use to_number().
I have a SELECT statement that counts the number of instances and then saves in a variable. It has a HAVING clause that does a SUM and a COUNT. However since you have to have a GROUP BY in order to use having, the select statement returns 4 lines that are 1 instead of the total being 4. This then doesn't save the count into the variable as 4 but as 1 which obviously is not what I need so I am looking for an alternative work around.
select count(distinct p1.community)
from
"Database".prospect p1
where
p1.visit_date >= '2013-07-01'
and p1.visit_date <= '2013-09-30'
and p1.division = '61'
group By
p1.community
having
sum(p1.status_1) / count(p1.control_code) >= .16;
This is a reasonable alternative:
select count(*)
from (
select p1.community , sum(p1.status_1) / count(p1.control_code) SomeColumn
from
"Database".prospect p1
where
p1.visit_date >= '2013-07-01'
and p1.visit_date <= '2013-09-30'
and p1.division = '61'
Group By
p1.community
) A
where A.SomeColumn >= .16;