I have 3 select queries :
the result of first for heading of my table.(like : select id, name from cars)
the second result show left side of my schedule table shows the date of sales (select date from dates inner join car on date.carid = car.carid where date.date1 > XXX/XX/XX for example)
the third result returns the data for inside the table. and it is the price of each car in each date.
But I don't know how to combine them?
I guess you need something like this Working SQL Server fiddle here
You need either of the following
Pivot feature of SQL Server
Aggregate function with group-by
Query: Pivot feature of SQL Server
SELECT *
FROM
(
SELECT [SALE_DATE], [CAR_NAME], [COST]
FROM CARS_SALES
) AS source
PIVOT
(
MAX(COST)
FOR [CAR_NAME] IN ([BENZ] , [BMW], [RENAULT])
) as pvt;
Query: Aggregate function with group-by
SELECT SALE_DATE,
MAX(CASE WHEN CAR_NAME = 'BENZ' THEN COST ELSE NULL END) [BENZ],
MAX(CASE WHEN CAR_NAME = 'BMW' THEN COST ELSE NULL END) [BMW],
MAX(CASE WHEN CAR_NAME = 'RENAULT' THEN COST ELSE NULL END) [RENAULT]
FROM CARS_SALES
GROUP BY SALE_DATE
Both the Queries give an
output result
as below:
SALE_DATE BENZ BMW RENAULT
09/07/2014 (null) (null) 900
09/08/2014 100 200 300
09/09/2014 400 600 (null)
09/10/2014 700 500 800
It's really unclear, but based on that you've posted, the solution would be something like this:
select cars.name, dates.date, dates.price
from dates
left join cars on (cars.carid=dates.carid)
order by cars.name, dates.date;
This gets the car's name, price and the date in one query. But I don't understand what your third query is for. If you provide more information I'll update this answer.
Related
I have the below table as an output of a SQL query
ID Car Type Units Sold
---------------------------
1 Sedan 250
2 SUV 125
3 Total 375
I want a SQL query / procedure to produce below output
ID Car Type Units Sold
--------------------------
1 Sedan 250
2 SUV 125
3 Total 375
4 Sedan_Pct 66.67 (250/375)
5 SUV_Pct 33.33 (125/375)
Please note that Car Type will be increased in future and I want the percentage of each car type which should be appended to current table as '_Pct'.
Typically we might expect to see the percentages as a separate column, not as separate rows. That being said, we can generate the output you want using grouping sets in SQL Server:
WITH cte AS (
SELECT ID, CarType, SUM (UnitsSold) AS UnitsSold
FROM yourTable
GROUP BY
GROUPING SETS((ID, CarType), (CarType), ())
)
SELECT
ID,
COALECSE(CarType, 'Total') AS CarType,
CASE WHEN ID IS NOT NULL OR CarType IS NULL
THEN UnitsSold
ELSE 100.0 * UnitsSold /
SUM(CASE WHEN ID IS NOT NULL THEN UnitsSold END) OVER () END AS PctUnitsSold
FROM cte
ORDER BY
ID DESC,
CASE WHEN CarType IS NULL THEN 0 ELSE 0 END,
CarType;
Demo
A simpler solution will be using Union
SELECT CarType, UnitSold FROM Car
UNION
SELECT 'Total' CarType, SUM(UnitSold) UnitSold FROM Car
UNION
SELECT CarType + '_Pct' AS CarType, UnitSold / (SELECT SUM(UnitSold) FROM Car) * 100 AS UnitSold FROM Car
Might not be ideal in the long run
query for mysql server
use union all in view or stored procedure -
declare #totalunitsold numeric(15,0);
set #totalunitsold = (select unitsold from car where cartype='total')
select cartype,unitsold from car
union all
select cartype + '_pct', (unitsold/#totalunitsold) as pct from car
this may help you
SELECT CarType+'_Pct', UnitSold/TotalSale*100
FROM Car cross join (select sum(UnitSold) TotalSale from Car) X
you can union that with your Table
Don't do it! Just add an additional column, not new rows:
select t.*,
t.units_sold * 100.0 / sum(case when t.car_type = 'Total' then units_sold end) over () as ratio
from (<your query here>) t;
One fundamental reason why you want a different column is because ratio has a different type from units_sold. Everything in a column (even in a result set) should be a similar attribute.
I would like to ignore some of the results of my query as for all intents and purposes, some of the results are a duplicate, but based on the way the request was made, we need to use this hierarchy and although we are seeing different 'Company_Name' 's, we need to ignore one of the results.
Query:
SELECT
COUNT(DISTINCT A12.Company_name) AS Customer_Name_Count,
Company_Name,
SUM(Total_Sales) AS Total_Sales
FROM
some_table AS A12
GROUP BY
2
ORDER BY
3 ASC, 2 ASC
This code omits half a doze joins and where statements that are not germane to this question.
Results:
Customer_Name_Count Company_Name Total_Sales
-------------------------------------------------------------
1 3 Blockbuster 1,000
2 6 Jimmy's Bar 1,500
3 6 Jimmy's Restaurant 1,500
4 9 Impala Hotel 2,000
5 12 Sports Drink 2,500
In the above set, we can see that numbers 2 & 3 have the same count and the same total_sales number and similar company names. Is there a way to create a case statement that takes these 3 factors into consideration and then drops one or the other for Jimmy's enterprises? The other issue is that this has to be variable as there are other instances where this happens. And I would only want this to happen if the count and sales number match each other with a similar name in the company name.
Desired result:
Customer_Name_Count Company_Name Total_Sales
--------------------------------------------------------------
1 3 Blockbuster 1,000
2 6 Jimmy's Bar 1,500
3 9 Impala Hotel 2,000
4 12 Sports Drink 2,500
Looks like other answers are accurate based on assumption that Company_IDs are the same for both.
If Company_IDs are different for both Jimmy's Bar and Jimmy's Restaurant then you can use something like this. I suggest you get functional users involved and do some data clean-up else you'll be maintaining this every time this issue arise:
SELECT
COUNT(DISTINCT CASE
WHEN A12.Company_Name = 'Name2' THEN 'Name1'
ELSE A12.Company_Name
END) AS Customer_Name_Count
,CASE
WHEN A12.Company_Name = 'Name2' THEN 'Name1'
ELSE A12.Company_Name
END AS Company_Name
,SUM(A12.Total_Sales) AS Total_Sales
FROM some_table er
GROUP BY CASE
WHEN A12.Company_Name = 'Name2' THEN 'Name1'
ELSE A12.Company_Name
END
Your problem is that the joins you are using are multiplying the number of rows. Somewhere along the way, multiple names are associated with exactly the same entity (which is why the numbers are the same). You can fix this by aggregating by the right id:
SELECT COUNT(DISTINCT A12.Company_name) AS Customer_Name_Count,
MAX(Company_Name) as Company_Name,
SUM(Total_Sales) AS Total_Sales
FROM some_table AS A12
GROUP BY Company_id -- I'm guessing the column is something like this
ORDER BY 3 ASC, 2 ASC;
This might actually overstate the sales (I don't know). Better would be fixing the join so it only returned one name. One possibility is that it is a type-2 dimension, meaning that there is a time component for values that change over time. You may need to restrict the join to a single time period.
You need to have function to return a common name for the companies and then use DISTINCT:
SELECT DISTINCT
Customer_Name_Count,
dbo.GetCommonName(Company_Name) as Company_Name,
Total_Sales
FROM dbo.theTable
You can try to use ROW_NUMBER with window function to make row number by Customer_Name_Count and Total_Sales then get rn = 1
SELECT * FROM (
SELECT *,ROW_NUMBER() OVER(PARTITION BY Customer_Name_Count,Total_Sales ORDER BY Company_Name) rn
FROM (
SELECT
COUNT(DISTINCT A12.Company_name) AS Customer_Name_Count,
Company_Name,
SUM(Total_Sales) AS Total_Sales
FROM
some_table AS A12
GROUP BY
Company_Name
)t1
)t1
WHERE rn = 1
I have a query that works great (listed below). The issue I am having is we have run into a patient that has had event on two different days and because I am grouping by the PATNUM, it is only showing it as one.
How can I get it to count 1 for each time if the PATNUM and SCHDT are different
Example:
PATNUM SCHDT
12345 30817
12345 30817
54321 30817
54321 30717
PATNUM 12345 should only count once while PATNUM 54321 should count twice.
My count statement is this:
SELECT ph.*, pi.*,
COUNT(DISTINCT CASE WHEN `SERVTYPE` IN ('INPT','INPFOP','INFOBS','IP') AND Complete ='7' THEN pi.PATNUM ELSE NULL END) AS count1,
COUNT(DISTINCT CASE WHEN `SERVTYPE` IN ('INPT','INPFOP','INFOBS','IP') AND Complete ='8' THEN pi.PATNUM ELSE NULL END) AS count2
FROM patientinfo as pi
INNER JOIN physicians as ph ON pi.SURGEON=ph.PName
WHERE PID NOT IN ('1355','988','767','1289','484','2784')
GROUP BY SURGEON
ORDER BY Dept,SURGEON ASC
Which columns do you want to see?
You can adjust your GROUP BY:
SELECT
ph.pname,
ph.specialty,
SUM(CASE WHEN complete = 7 THEN 1 ELSE 0 END) count1,
SUM(CASE WHEN complete = 8 THEN 1 ELSE 0 END) count2
FROM
(
SELECT
DISTINCT
surgeon,
patnum,
schdt,
complete,
servtype
FROM patientinfo
WHERE complete IN (7,8)
AND servtype IN ('INPT','INPFOP','INFOBS','IP')
AND pid NOT IN ('1355','988','767','1289','484','2784')
) pisub
INNER JOIN physicians ph ON pisub.surgeon = ph.pname
GROUP BY ph.pname, ph.specialty
ORDER BY ph.pname, ph.specialty;
Also, I would make a few suggestions:
If you're going to give your tables an alias, then use the alias when referring to any column in your query. I've made a guess here about some of your columns as to which table they come from (e.g. dept), so feel free to change it if it is not correct
You don't need to select all records from both tables if you don't need them
The query won't run if you don't GROUP BY all columns you're selecting. I've written about this for Oracle and SQL in general, but actually in MySQL I think it does run but show incorrect results.
I have a dataset as shown below in a booking table
Custid ApptDate oldornewApp
-------------------------------
100 01-jan-2013 old
100 01-jan-2014 old
100 01-oct-2016 new
100 12-oct-2016 new
200 01-feb-2015 old
200 10-oct-2016 new
I am trying for an output which shows max date based on the oldornewapp column for each customer
custid MaxApptDateOldApp MaxapptDatenewapp
---------------------------------------------
100 01-jan-2014 12-oct-2016
200 01-feb-2015 10-oct-2016
Please let me know a best way to get the resultset, I am using SQL Server 2012
Thanks in advance
SELECT
Custid
,MAX(CASE WHEN oldornewApp = 'old' THEN ApptDate END) as MaxApptDateOldApp
,MAX(CASE WHEN oldornewApp = 'new' THEN ApptDate END) as MaxApptDateNewApp
FROM
TableName
GROUP BY
Custid
You can use conditional aggregation to get to your desired result.
You can use join and group by
select old.Custid, max(old.ApptDate) as MaxApptDateOldApp, max(new.ApptDate) as MaxApptDateNewApp
from my_table as old
where a.oldornewApp = 'old';
group by a,Custid
inner join (
select b.Custid, max(b.ApptDate) as AppDate
from my_table as b
where b.oldornewApp = 'new';
group by b.Custid
) new
I've been stuck for quite a while now trying to get this query to work.
Here's the setup:
I have a [Notes] table that contains a nonunique (Number) column and a nonunique (Result) column. I'm looking to create a SELECT statement that will display each distinct (Number) value where the count of the {(Number), (Result)} tuple where Result = 'NA' is > 25.
Number | Result
100 | 'NA'
100 | 'TT'
101 | 'NA'
102 | 'AM'
100 | 'TT'
200 | 'NA'
200 | 'NA'
201 | 'NA'
Basically, have an autodialer that calls a number and returns a code depending on the results of the call. We want to ignore numbers that have had an 'NA'(no answer) code returned more than 25 times.
My basic attempts so far have been similar to:
SELECT DISTINCT n1.Number
FROM Notes n1
WHERE (SELECT COUNT(*) FROM Notes n2
WHERE n1.Number = n2.Number and n1.Result = 'NA') > 25
I know this query isn't correct, but in general I'm not sure how to relate the DISTINCT n1.Number from the initial select to the Number used in the subquery COUNT. Most examples I see aren't actually doing this by adding a condition to the COUNT returned. I haven't had to touch too much SQL in the past half decade, so I'm quite rusty.
you can do it like this :
SELECT Number
FROM Notes
WHERE Result = 'NA'
GROUP BY Number
HAVING COUNT(Result) > 25
Try this:
SELECT Number
FROM (
SELECT Number, Count(Result) as CountNA
FROM Notes
WHERE Result = 'NA'
GROUP BY Number
)
WHERE CountNA > 25
EDIT: depending on SQL product, you may need to give the derived table a table correlation name e.g.
SELECT DT1.Number
FROM (
SELECT Number, Count(Result) as CountNA
FROM Notes
WHERE Result = 'NA'
GROUP
BY Number
) AS DT1 (Number, CountNA)
WHERE DT1.CountNA > 25;