I have table with the following columns
id, money, date
I want a SQL query that returns the sum(amount) calculated between two custom dates like
Date between '2014-1-10' and '2016-3-12'
Date between '2015-8-10' and '2017-6-12'
Date between '2014-2-10' and '2016-6-12'
The result will be some thing similar to
customWhere amount
1 20000000$
2 23495000$
3 12940593$
use a select case in the groupby clause
Select (select case
when MyDate between Convert(date,'Some Date')
and Convert(date,'Other Date')
then 1 else 2 end) 'Case',
SUM(Ammount) 'Sum'
FROM YourTable
GROUP BY (select case
when MyDate between Convert(date,'Some Date')
and Convert(date,'Other Date')
then 1 else 2 end)
Group By - https://msdn.microsoft.com/en-us/library/ms177673.aspx
Case - https://msdn.microsoft.com/en-us/library/ms181765.aspx
select 1 as cn, sum(amount) as sss
from table
where Date between '2014-1-10' and '2016-3-12'
union
select 2 as cn, sum(amount) as sss
from table
where Date between '2015-8-10' and '2017-6-12'
...
Related
I have 2 SQL statements to look up successful transactions and failed transactions.
SELECT COUNT (code_reseller) as trx_success, kode_reseller
FROM transaksi
where status = '20' AND CAST (date_entri AS DATE) = CAST (GETDATE() AS DATE)
group by code_reseller
ORDER BY trx_success DESC
AND
SELECT COUNT (code_reseller) as trx_fail, kode_reseller
FROM transaksi
where status > '20' AND CAST (date_entri AS DATE) = CAST (GETDATE() AS DATE)
group by code_reseller
ORDER BY trx_fail DESC
How to combine into one table with 3 columns result with code_reseller, trx_success and trx_fail?
Use conditional aggregation and combine the queries:
SELECT
kode_reseller,
COUNT(CASE WHEN status = '20' THEN 1 END) AS trx_success,
COUNT(CASE WHEN status > '20' THEN 1 END) AS trx_fail
FROM transaksi
WHERE
CAST(date_entri AS DATE) = CAST(GETDATE() AS DATE)
GROUP BY
kode_reseller;
The strategy here is to move the filtering on the status column which previously appeared in the two WHERE clauses into the conditional counts in the SELECT clause. The restriction on date_entri can stay there, since both queries have it.
As suggested by #Dale k, you can do it like this.
You cannot add order by inside, so create an alias table and give order by condition.
SELECT *
FROM
(
SELECT COUNT (code_reseller) as trx_success, kode_reseller
FROM transaksi
WHERE status = '20' AND CAST (date_entri AS DATE) = CAST (GETDATE() AS DATE)
GROUP BY code_reseller
UNION ALL
SELECT COUNT (code_reseller) as trx_fail, kode_reseller
FROM transaksi
WHERE status > '20' AND CAST (date_entri AS DATE) = CAST (GETDATE() AS DATE)
GROUP BY code_reseller
) a
ORDER BY a.trx_success DESC --here we get first select query table' column name and datatype and no of column will be same required in union/union all
In the below query, I get the count of customers who were active between "2017-09-01 00:00:00" and "2017-11-31 23:59:59" as cust_90 and would like to add another column to find the count of customers who were active between "2017-11-01 00:00:00" and "2017-11-31 23:59:59" (a subset of the whole period).
select custid, count(distinct concat(visit1, visit2)) as cust_90
from test1
where date_time between "2017-09-01 00:00:00" and "2017-11-31 23:59:59"
and custid = '234214124'
group by custid;
Sample output:
CustomerName cust_90 cust_30
David 38 15
Wondering whether I could have a subquery in the above query to find the customers active in a month. Any suggestions would be great.
This is called conditional aggregation which can be done using a case expression.
select custid,
count(distinct concat(visit1, visit2) end) as cust_90,
count(distinct case when to_date(date_time)>='2017-11-01' then concat(visit1, visit2) end) as cust_30
from test1
where date_time >= '2017-09-01' and date_time < '2017-12-01'
and custid = '234214124'
group by custid;
Is there a safe way to not have to group by a field when using an aggregate in another field? Here is my example
SELECT
C.CustomerName
,D.INDUSTRY_CODE
,CASE WHEN D.INDUSTRY_CODE IN ('003','004','005','006','007','008','009','010','017','029')
THEN 'PM'
WHEN UPPER(CustomerName) = 'ULINE INC'
THEN 'ULINE'
ELSE 'DR'
END AS BU
,ISNULL((SELECT SUM(GrossAmount)
where CONVERT(date,convert(char(8),InvoiceDateID )) between DATEADD(yy, DATEDIFF(yy, 0, GETDATE()) - 1, 0) and DATEADD(year, -1, GETDATE())),0) [PREVIOUS YEAR GROSS]
FROM factMargins A
LEFT OUTER JOIN dimDate B ON A.InvoiceDateID = B.DateId
LEFT OUTER JOIN dimCustomer C ON A.CustomerID = C.CustomerId
LEFT OUTER JOIN CRCDATA.DBO.CU10 D ON D.CUST_NUMB = C.CustomerNumber
GROUP BY
C.CustomerName,D.INDUSTRY_CODE
,A.InvoiceDateID
order by CustomerName
before grouping I was only getting 984 rows but after grouping by the A.InvoiceDateId field I am getting over 11k rows. The rows blow up since there are multiple invoices per customer. Min and Max wont work since then it will pull data incorrectly. Would it be best to let my application (crystal) get rid of the extra lines? Usually I like to have my base data be as close as possible to how the report will layout if possible.
Try moving the reference to InvoiceDateID to within an aggregate function, rather than within a selected subquery's WHERE clause.
In Oracle, here's an example:
with TheData as (
select 'A' customerID, 25 AMOUNT , trunc(sysdate) THEDATE from dual union
select 'B' customerID, 35 AMOUNT , trunc(sysdate-1) THEDATE from dual union
select 'A' customerID, 45 AMOUNT , trunc(sysdate-2) THEDATE from dual union
select 'A' customerID, 11000 AMOUNT , trunc(sysdate-3) THEDATE from dual union
select 'B' customerID, 12000 AMOUNT , trunc(sysdate-4) THEDATE from dual union
select 'A' customerID, 15000 AMOUNT , trunc(sysdate-5) THEDATE from dual)
select
CustomerID,
sum(amount) as "AllRevenue"
sum(case when thedate<sysdate-3 then amount else 0 end) as "OlderRevenue",
from thedata
group by customerID;
Output:
CustomerID | AllRevenue | OlderRevenue
A | 26070 | 26000
B | 12035 | 12000
This says:
For each customerID
I want the sum of all amounts
and I want the sum of amounts earlier than 3 days ago
I would like to count number of birthdays by quarters in SQL Server
i.e. Between Jan 1 - March 31, April 1 - June 30, July 1 - Sep 30 & Oct 1 - Dec 31.
Please help me with the Date function in Sql Server to do this.
I pass BDate as DATETIME . I want to use this BDate to populate 4 fields of type int with counts for number of birthdays in each quarter.
Thanks.
As long as your "BDate" column is datetime, you can achieve this quite easily using this query:
SELECT DATEPART(QUARTER,BDATE), COUNT(*)
FROM TABLE1
GROUP BY DATEPART(QUARTER,BDATE)
ORDER BY DATEPART(QUARTER,BDATE) ASC
Here's a working fiddle using some random data: http://sqlfiddle.com/#!6/7734b/1
Data set up:
create table test (
d1 varchar(10),
d2 datetime
);
insert into test (d1,d2) values ('2015-01-28','2015-01-28');
insert into test (d1,d2) values ('2015-02-13','2015-02-13');
insert into test (d1,d2) values ('2015-07-19','2015-07-19');
insert into test (d1,d2) values ('2015-11-04','2015-11-04');
If you just want to get counts for each of the quarters present in your data:
select DATEPART(QUARTER, d2), count(*)
from test
group by DATEPART(QUARTER, d2);
You can use d1 or d2 (SQL Server will handle the varchar or datetime properly).
If you want to include all four quarters, even if they're not present in your data:
select qs.q, count(t.d2) as c
from (
SELECT 1 as q
UNION ALL
SELECT 2 as q
UNION ALL
SELECT 3 as q
UNION ALL
SELECT 4 as q) qs
left join test t
on qs.q = DATEPART(QUARTER, t.d2)
group by qs.q;
Again, you can use either d1 or d2, it doesn't matter. The "qs" query just gets the numbers 1 to 4, then that is outer joined to the table with the birth dates.
Please try this:
--replace '19000102' with your int column
select SUM(CASE WHEN DATEPART(MONTH,CONVERT (datetime,convert(char(8),19000102)))
IN (1,2,3)
THEN 1
ELSE 0
END) as 'Q1',
SUM(CASE WHEN DATEPART(MONTH,CONVERT (datetime,convert(char(8),19000102)))
IN (4,5,6)
THEN 1
ELSE 0
END) as 'Q2',
SUM(CASE WHEN DATEPART(MONTH,CONVERT (datetime,convert(char(8),19000102)))
IN (7,8,9)
THEN 1
ELSE 0
END) as 'Q3',
SUM(CASE WHEN DATEPART(MONTH,CONVERT (datetime,convert(char(8),19000102)))
IN (10,11,12)
THEN 1
ELSE 0
END) as 'Q4'
I have a table Supplier with two columns, TotalStock and Date. I'm trying to write a single query that will give me stock totals by week / month / year for a list of suppliers.
So results will look like this..
SUPPLIER WEEK MONTH YEAR
SupplierA 50 100 2000
SupplierB 60 150 2500
SupplierC 15 25 200
So far I've been playing around with multiple selects but I can't get any further than this:
SELECT Supplier,
(
SELECT Sum(TotalStock)
FROM StockBreakdown
WHERE Date >= '2014-5-12'
GROUP BY Supplier
) AS StockThisWeek,
(
SELECT Sum(TotalStock)
FROM StockBreakdown
WHERE Date >= '2014-5-1'
GROUP BY Supplier
) AS StockThisMonth,
(
SELECT Sum(TotalStock)
FROM StockBreakdown
WHERE Date >= '2014-1-1'
GROUP BY Supplier
) AS StockThisYear
This query throws an error as each individual grouping returns multiple results. I feel that I'm close to the solution but can't work out where to go
You don't have to use subqueries to achieve what you want :
SELECT Supplier
, SUM(CASE WHEN Date >= CAST('2014-05-12' as DATE) THEN TotalStock END) AS StockThisWeek
, SUM(CASE WHEN Date >= CAST('2014-05-01' as DATE) THEN TotalStock END) AS StockThisMonth
, SUM(CASE WHEN Date >= CAST('2014-01-01' as DATE) THEN TotalStock END) AS StockThisYear
FROM StockBreakdown
GROUP BY Supplier
You may need to make the selects for the columns return only a single result. You could try this (not tested currently):
SELECT Supplier,
(
SELECT TOP 1 StockThisWeek FROM
(
SELECT Supplier, Sum(TotalStock) AS StockThisWeek
FROM StockBreakdown
WHERE Date >= '2014-5-12'
GROUP BY Supplier
) tmp1
WHERE tmp1.Supplier = Supplier
) AS StockThisWeek,
(
SELECT TOP 1 StockThisMonth FROM
(
SELECT Supplier, Sum(TotalStock) AS StockThisMonth
FROM StockBreakdown
WHERE Date >= '2014-5-1'
GROUP BY Supplier
) tmp2
WHERE tmp2.Supplier = Supplier
) AS StockThisMonth,
...
This selects the supplier and then tries to create two columns StockThisWeek and StockThisMonth by selecting the first entry from the select you created before. As through the GROUP BY there should only be one entry per supplier, so you don't lose and data.