I am currently having difficulty getting the correct values from my table. Here is my table
NOTE: The column Status has 3 possible values (Cleaned, Unclean, Closed)
+-----------+-------------+--------+------------+
|ApplicantID|ApplicantName| Status | HireDate |
+-----------+-------------+--------+------------+
| 1 | John Smith |Cleaned |08/26/2015 |
| 2 | Alex Murphy |Closed |09/12/2015 |
| 3 | Oliver David|Cleaned |01/11/2015 |
| 4 | Max Payne |Unclean |03/18/2015 |
+-----------+-------------+--------+------------+
The output I'm expecting and it should also be sorted by year.
For example I call all these records for the year 2015 which I get using the variable #Year.
NOTE: The column Total is the SUM of Cleaned and Unclean
+---------+-----------+-----------+----------+---------+
| Month | Cleaned | Unclean | Closed | Total |
+---------+-----------+-----------+----------+---------+
| January| 1 | 0 | 0 | 1 |
| February| 0 | 0 | 0 | 0 |
| March | 0 | 1 | 0 | 1 |
| April | 0 | 0 | 0 | 0 |
| May | 0 | 0 | 0 | 0 |
| June | 0 | 0 | 0 | 0 |
| July | 0 | 0 | 0 | 0 |
| August | 1 | 0 | 0 | 1 |
|September| 0 | 0 | 1 | 0 |
| October| 0 | 0 | 0 | 0 |
| November| 0 | 0 | 0 | 0 |
| December| 0 | 0 | 0 | 0 |
+---------+-----------+-----------+----------+---------+
I can't seem to get the right code, for the sql this is my current code.
SELECT Month(HireDate) AS Month, COUNT(*)
FROM Hires
GROUP BY Month(HireDate)
I know my coding is wrong, because it is incomplete.
Generate a list of numbers from 1 to 12 first to hold all months. Then do a LEFT JOIN on Hires to make sure all missing months are accounted for. Then use conditional aggregation for the totals:
SQL Fiddle
;WITH CteMonths AS(
SELECT * FROM(VALUES
(1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11),(12)
)t(N)
)
SELECT
Month = DATENAME(MONTH, DATEADD(MONTH, N-1,0)),
Cleaned = SUM(CASE WHEN h.Status = 'Cleaned' THEN 1 ELSE 0 END),
Closed = SUM(CASE WHEN h.Status = 'Closed' THEN 1 ELSE 0 END),
Unclean = SUM(CASE WHEN h.Status = 'Unclean' THEN 1 ELSE 0 END),
Total = SUM(CASE WHEN h.Status IN('Cleaned', 'Unclean') THEN 1 ELSE 0 END)
FROM CteMonths m
LEFT JOIN Hires h
ON m.N = MONTH(h.HireDate)
--AND YEAR(h.HireDate) = #year --uncomment this line to filter for year.
GROUP BY m.N
ORDER BY m.N
If you want to include the YEAR:
SQL Fiddle
;WITH CteMonths AS(
SELECT * FROM(VALUES
(1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11),(12)
)t(N)
),
CteYears(yr) AS(
SELECT DISTINCT YEAR(HireDate) FROM Hires
),
CteAllDates(dt) AS(
SELECT
DATEADD(MONTH, m.N - 1, DATEADD(YEAR, y.yr - 1900, 0))
FROM CteMonths m
CROSS JOIN CteYears y
)
SELECT
Year = YEAR(d.dt),
Month = DATENAME(MONTH, d.dt),
Cleaned = SUM(CASE WHEN h.Status = 'Cleaned' THEN 1 ELSE 0 END),
Closed = SUM(CASE WHEN h.Status = 'Closed' THEN 1 ELSE 0 END),
Unclean = SUM(CASE WHEN h.Status = 'Unclean' THEN 1 ELSE 0 END),
Total = SUM(CASE WHEN h.Status IN('Cleaned', 'Unclean') THEN 1 ELSE 0 END)
FROM CteAllDates d
LEFT JOIN Hires h
ON MONTH(d.dt) = MONTH(h.HireDate)
AND YEAR(d.dt) = YEAR(h.HireDate)
GROUP BY YEAR(d.dt), MONTH(d.dt), DATENAME(MONTH, d.dt)
ORDER BY YEAR(d.dt), MONTH(d.dt)
If you want to filter for year, say #year = 2015, you can replace the previous ctes with:
;WITH CteMonths AS(
SELECT * FROM(VALUES
(1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11),(12)
)t(N)
),
CteAllDates(dt) AS(
SELECT
DATEADD(MONTH, m.N - 1, DATEADD(YEAR, #year - 1900, 0))
FROM CteMonths m
)...
I suggest to create TEMP table with values from 1 to 12 (numbers of months) and JOIN your table with TEMP table. To achieve values as columns names you can use PIVOT or CASE. You can do It in following:
INSERT INTO #Months VALUES
(1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11),(12)
SELECT DATENAME(MONTH, DATEADD(MONTH, m.Id-1, 0)) AS [Month]
, SUM(CASE WHEN [Status] = 'Cleaned' THEN 1 ELSE 0 END) AS [Cleaned]
, SUM(CASE WHEN [Status] = 'Closed' THEN 1 ELSE 0 END ) AS [Closed]
, SUM(CASE WHEN [Status] = 'Unclean' THEN 1 ELSE 0 END) AS [Unclean]
, SUM(CASE WHEN [Status] IN ('Unclean', 'Cleaned') THEN 1 ELSE 0 END) AS [Total]
FROM #Test t
RIGHT JOIN #Months m ON m.Id = MONTH(t.HireDate)
GROUP BY m.Id
OUTPUT
+---------+-----------+-----------+----------+---------+
| Month | Cleaned | Unclean | Closed | Total |
+---------+-----------+-----------+----------+---------+
| January | 1 | 0 | 0 | 1 |
| February| 0 | 0 | 0 | 0 |
| March | 0 | 1 | 0 | 1 |
| April | 0 | 0 | 0 | 0 |
| May | 0 | 0 | 0 | 0 |
| June | 0 | 0 | 0 | 0 |
| July | 0 | 0 | 0 | 0 |
| August | 1 | 0 | 0 | 1 |
|September| 0 | 0 | 1 | 0 |
| October | 0 | 0 | 0 | 0 |
| November| 0 | 0 | 0 | 0 |
| December| 0 | 0 | 0 | 0 |
+---------+-----------+-----------+----------+---------+
DEMO
You can test It at: SQL FIDDLE
Related
i have m_peserta table.
no_test | name
-----------------------
11 | Mr. X
21 | Mr. Y
31 | Mr. Z
41 | Mr. P
I have result table
no_test | quest_cat | answer
-------------------------------------------
11 | Type I-2 | 1
11 | Type I-5 | 1
11 | Type I-6 | 1
11 | Type II-2 | My Answer is bla
11 | Type II-4 | My Answer is bla
21 | Type I-5 | 1
21 | Type I-6 | 1
21 | Type II-3 | My Answer is bla
21 | Type II-1 | *note : this is a Null Answer
21 | Type III-1| *note : this is a Null Answer
21 | Type III-3| My Answer is bla
and i have a empty table named combine_table with the column is no_test, name, count_quest_I, count_quest_II, count_quest_III.
And i need query "INSERT" from combine table m_peserta and result, so i have a combine_table like this
no_test | name | count_quest_I | count_quest_II | count_quest_III
-----------------------------------------------------
11 | Mr. X | 3 | 2 | 0
21 | Mr. Y | 2 | 1 | 1
please help, thank you
You can try like following.
;WITH cte
AS (SELECT no_test,
Sum(CASE
WHEN quest_cat LIKE 'Type I-%' THEN 1
ELSE 0
END) AS count_quest_I,
Sum(CASE
WHEN quest_cat LIKE 'Type II-%' THEN 1
ELSE 0
END) AS count_quest_II,
Sum(CASE
WHEN quest_cat LIKE 'Type III-%' THEN 1
ELSE 0
END) AS count_quest_III
FROM result
GROUP BY no_test)
INSERT INTO combine_table
SELECT t1.no_test,
t1.NAME,
count_quest_i,
count_quest_ii,
count_quest_iii
FROM m_peserta t1
INNER JOIN cte r
ON r.no_test = t1.no_test
A join with group by will help.
see query below
insert into combine_table
(a.no_test,
a.name,
count_quest_I,
count_quest_II,
count_quest_III)
select
a.no_test,
a.name,
count_quest_I = sum(case when quest_cat like 'Type I-%' then 1 else 0 end),
count_quest_II = sum(case when quest_cat like 'Type II-%' then 1 else 0 end),
count_quest_III = sum(case when quest_cat like 'Type III-%' then 1 else 0 end)
from
m_peserta a join result r
on a.no_test=r.no_test
group by
a.no_test,a.name
I have a table
/---------------------------------------\
|Region | Product | 1 | 2 | 3 | 4 |
|-------|---------|---|-----|-----|-----|
| A | ABC | 0 | 120 | 421 | 520 |
| B | ABC | 0 | 0 | 0 | 670 |
| C | DEF | 0 | 0 | 0 | 125 |
| D | PQR | 0 | 0 | 780 | 560 |
| E | PQR | 0 | 0 | 0 | 340 |
| F | XYZ | 0 | 0 | 0 | 780 |
| G | XYZ | 0 | 0 | 0 | 900 |
\---------------------------------------/
In this table, I need to find the name of products that were launched in quarter 4.
The result that query should give is DEF and XYZ
I will be grateful if someone could help
You need to group by product and aggregate (sum) the values for each quarter per product, regardless of region:
select
Product
from #table
group by Product
having sum([4]) > 0
and sum([3]) = 0
and sum([2]) = 0
and sum([1]) = 0
With sample data to illustrate:
create table #table
(
Region varchar(1),
Product varchar(3),
[1] int,
[2] int,
[3] int,
[4] int
)
insert into #table
values
('A','ABC',0,120,421,520),
('B','ABC',0,0,0,670),
('C','DEF',0,0,0,125),
('D','PQR',0,0,780,560),
('E','PQR',0,0,0,340),
('F','XYZ',0,0,0,780),
('G','XYZ',0,0,0,900)
select
Product
from #table
group by Product
having sum([4]) > 0
and sum([3]) = 0
and sum([2]) = 0
and sum([1]) = 0
drop table #table
Output:
/---------\
| Product |
|---------|
| DEF |
| XYZ |
\---------/
try this
select *
from yourTableName a
where a.field4 > 0
and a.field3 = 0
and a.field2 = 0
and a.field1 = 0
and a.product not in (select b.product
from yourTableName b
where b.field3 >0
or b.field2>0
or b.field1>0)
and if you just want the product use below
select a.product
from yourTableName a
where a.field4 > 0
and a.field3 = 0
and a.field2 = 0
and a.field1 = 0
and a.product not in (select b.product
from yourTableName b
where b.field3 >0
or b.field2>0
or b.field1>0)
here field4 as quarter 4
field3 as quarter 3 and so on.
I have to generate a result set of a SQL query which should match the following, but let me explain both inputs and outputs:
I have a table named Orders and this table has some orders in some days at some hours, then, I have been requested to provide a result-set which should get all days between two dates (i.e. 2017-10-01 and 2017-10-07), with all 24 hours for each day, even if that day or that hour had no orders, but it should be appeared with 0 value.
+------------+------+-------------+
| Day | Hour | TotalOrders |
+------------+------+-------------+
| 2017-10-01 | 0 | 0 |
+------------+------+-------------+
| 2017-10-01 | 1 | 3 |
+------------+------+-------------+
| 2017-10-01 | 2 | 4 |
+------------+------+-------------+
| 2017-10-01 | 3 | 0 |
+------------+------+-------------+
| 2017-10-01 | 4 | 7 |
+------------+------+-------------+
| 2017-10-01 | 5 | 0 |
+------------+------+-------------+
| 2017-10-01 | 6 | 0 |
+------------+------+-------------+
| 2017-10-01 | 7 | 9 |
+------------+------+-------------+
| 2017-10-01 | 8 | 0 |
+------------+------+-------------+
| 2017-10-01 | 9 | 0 |
+------------+------+-------------+
| 2017-10-01 | 10 | 0 |
+------------+------+-------------+
| 2017-10-01 | 11 | 0 |
+------------+------+-------------+
| 2017-10-01 | 12 | 0 |
+------------+------+-------------+
| 2017-10-01 | 13 | 0 |
+------------+------+-------------+
| 2017-10-01 | 14 | 0 |
+------------+------+-------------+
| 2017-10-01 | 15 | 0 |
+------------+------+-------------+
| 2017-10-01 | 16 | 0 |
+------------+------+-------------+
| 2017-10-01 | 17 | 0 |
+------------+------+-------------+
| 2017-10-01 | 18 | 0 |
+------------+------+-------------+
| 2017-10-01 | 19 | 0 |
+------------+------+-------------+
| 2017-10-01 | 20 | 0 |
+------------+------+-------------+
| 2017-10-01 | 21 | 0 |
+------------+------+-------------+
| 2017-10-01 | 22 | 0 |
+------------+------+-------------+
| 2017-10-01 | 23 | 0 |
+------------+------+-------------+
| 2017-10-02 | 0 | 0 |
+------------+------+-------------+
| 2017-10-02 | 1 | 0 |
+------------+------+-------------+
| 2017-10-02 | 2 | 0 |
+------------+------+-------------+
| 2017-10-02 | 3 | 0 |
+------------+------+-------------+
| 2017-10-02 | 4 | 0 |
+------------+------+-------------+
| 2017-10-02 | 5 | 0 |
+------------+------+-------------+
| 2017-10-02 | 6 | 0 |
+------------+------+-------------+
| 2017-10-02 | 7 | 0 |
+------------+------+-------------+
| and so on .................. |
+------------+------+-------------+
So, the above result set should contain every day between the given two dates, and each day should have all 24 hours, irrespective off that day had orders and the same for hour (either it had orders or not)
I did it using a nested CTE:
DECLARE #MinDate DATE = '20171001',
#MaxDate DATE = '20171006';
;WITH INNER_CTE as(
SELECT TOP (DATEDIFF(DAY, #MinDate, #MaxDate) + 1)
Date = DATEADD(DAY, ROW_NUMBER() OVER(ORDER BY a.object_id) - 1, #MinDate)
FROM sys.all_objects a
CROSS JOIN sys.all_objects b) ,
OUTER_CTE as (
select * from INNER_CTE
cross apply (
SELECT TOP (24) n = ROW_NUMBER() OVER (ORDER BY [object_id]) -1
FROM sys.all_objects ORDER BY n)) t4
)
select t1.Date, t1.n [Hour], ISNULL(t2.TotalORders,0) TotalOrders from
OUTER_CTE t1
LEFT JOIN orders t2 on t1.Date = t2.[Day] and t1.n = t2.[Hour]
Good Reading about generating sequences using a query here: https://sqlperformance.com/2013/01/t-sql-queries/generate-a-set-1
I prefer to do this with a tally table instead of using loops. The performance is much better. I keep a tally on my system as a view like this.
create View [dbo].[cteTally] as
WITH
E1(N) AS (select 1 from (values (1),(1),(1),(1),(1),(1),(1),(1),(1),(1))dt(n)),
E2(N) AS (SELECT 1 FROM E1 a, E1 b), --10E+2 or 100 rows
E4(N) AS (SELECT 1 FROM E2 a, E2 b), --10E+4 or 10,000 rows max
cteTally(N) AS
(
SELECT ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) FROM E4
)
select N from cteTally
GO
Now that we have our tally table we can use some basic math to get the desired output. Something along these lines.
declare #Date1 datetime = '2017-10-01';
declare #Date2 datetime = '2017-10-07';
select Day = convert(date, DATEADD(hour, t.N, #Date1))
, Hour = t.N - 1
, TotalOrders = COUNT(o.OrderID)
from cteTally t
left join Orders o on o.OrderDate = DATEADD(hour, t.N, #Date1)
where t.N <= DATEDIFF(hour, #Date1, #Date2)
group by DATEDIFF(hour, #Date1, #Date2)
, t.N
The simplest way is to just use a temporary table or table variable to fill the desired result set, and then count the number of Orders for each row.
declare #Date1 date = '2017-10-01';
declare #Date2 date = '2017-10-07';
declare #Hour int;
declare #Period table (Day Date, Hour Time);
while #Date1 <= #Date2
begin
set #Hour = 0;
while #Hour < 24
begin
insert into #Period (Day, Hour) values (#Date1, TimeFromParts(#Hour,0,0,0,0));
set #Hour = #Hour + 1;
end
set #Date1 = DateAdd(Day, 1, #Date1);
end
select Day, Hour,
(select count(*)
from Orders
where Orders.Day = Period.Day and Orders.Hour = Period.Hour) as TotalOrders
from #Period as Period;
I have two tables
1) Document: which represent a document
+----+----------+------+
| ID | Body | Type |
+----+----------+------+
| 1 | Ramesh | 1 |
| 2 | Khilan | 1 |
| 3 | kaushik | 4 |
| 4 | Chaitali | 2 |
| 5 | Hardik | 2 |
+----+----------+------+
2) Destination: which represent a party of the document
+--------+------------+--------+
| UserId | DocumentId | Status |
+--------+------------+--------+
| 6 | 3 | 4 |
| 4 | 5 | 5 |
| 89 | 2 | 0 |
| 15 | 4 | 3 |
| 89 | 1 | 0 |
+--------+------------+--------+
The status column represent a folder for the user, i want to get the count for each type for each folder, even if the folder is empty for a specifi user,
however if want them in this from,
+--------+--------+--------------+--------------+--------------+
| UserId | Status | Type 1 Count | Type 2 Count | Type 4 Count |
+--------+--------+--------------+--------------+--------------+
| 89 | 0 | 2 | 0 | 0 |
| 89 | 3 | 0 | 0 | 0 |
| 89 | 4 | 0 | 0 | 0 |
| 89 | 5 | 0 | 0 | 0 |
+--------+--------+--------------+--------------+--------------+
the issue I'm facing is I can't find a way to get the types the user does not have by join, i can get them using CASE but not in the form i want
my query is:
`SELECT dd.[Status],
SUM(CASE WHEN d.[Type] = 1 THEN 1 ELSE 0 END) AS 'Type1Count'
SUM(CASE WHEN d.[Type] = 2 THEN 1 ELSE 0 END) AS 'Type2Count'
SUM(CASE WHEN d.[Type] = 4 THEN 1 ELSE 0 END) AS 'Type4Count'
FROM [User] u LEFT JOIN [Destination] dd ON u.[Id] = dd.[UserId]
LEFT JOIN [Document] d ON dd.[DocumentId] = d.[Id]
WHERE u.[Id] = #UserId`
the result is
+--------+--------+--------------+--------------+--------------+
| UserId | Status | Type 1 Count | Type 2 Count | Type 4 Count |
+--------+--------+--------------+--------------+--------------+
| 89 | 0 | 2 | 0 | 0 |
+--------+--------+--------------+--------------+--------------+
So join all users onto a table of all statuses (I have named this Folder as per you description in the question) before you then join to Document and Destination:
SELECT u.UserId, st.Status,
SUM(CASE WHEN doc.Type = 1 THEN 1 ELSE 0 END) AS [Type 1 Count],
SUM(CASE WHEN doc.Type = 2 THEN 1 ELSE 0 END) AS [Type 2 Count],
SUM(CASE WHEN doc.Type = 4 THEN 1 ELSE 0 END) AS [Type 4 Count]
FROM User u
CROSS JOIN Folder st
LEFT OUTER JOIN Destination d
ON d.UserId = u.UserId
AND d.Status = st.Status
LEFT OUTER JOIN Document doc
ON doc.ID = d.DocumentId
GROUP BY u.UserId, st.Status
ORDER BY u.UserId
I am looking for a solution for the following problem, which affects two tables. I already tried to search for the solution, but couldn't find the way to go.
single_value
| docId | siteNo | siteName | siteAccount | comment | docDate | extNo
---+------------+--------+---------------+-------------+---------+-------------------------+-------
1 | T000000095 | 201060 | Main Location | 92400 | NULL | 2014-10-31 00:00:00.000 | NULL
multi_value
| docId | field_no | row_no | value_char | value_date | value_num
---+------------+----------+--------+------------+------------+-----------
1 | T000000095 | 60 | 1 | NULL | NULL | 250.00
2 | T000000095 | 60 | 2 | NULL | NULL | -1.24
3 | T000000095 | 61 | 1 | Positive | NULL | NULL
4 | T000000095 | 61 | 2 | Negative | NULL | NULL
5 | T000000095 | 62 | 1 | NULL | NULL | 90000.00
6 | T000000095 | 62 | 2 | NULL | NULL | 688000.00
What I need is now an SQL statement which gives me an output like the following one for each row_no of the table multi_value for a specific docId:
| docId | siteNo | siteName | siteAccount | comment | docDate | extNo | amount | addInfo | costUnit
---+------------+--------+---------------+-------------+---------+-------------------------+-------|--------+----------+----------
1 | T000000095 | 201060 | Main Location | 92400 | NULL | 2014-10-31 00:00:00.000 | NULL | 250.00 | Positive | 90000.00
2 | T000000095 | 201060 | Main Location | 92400 | NULL | 2014-10-31 00:00:00.000 | NULL | -1.24 | Negative | 688000.00
It has to list all Information of the table 'single_value' and kind of transpose the values of the table 'multi_value'. The connection between both tables can be achieved via the docId.
The table 'multi_value' is designed in that way, that each field no only allows one specific column to be filled:
60 = value_num (amount)
61 = value_char (addInfo)
62 = value_num (costUnit)
What is the easiest way to achieve that? The table layout cannot be changed. For the transpose of the multi_value I already tried the following, but it doesn't work with the varchar datatype within the column value_char.
SELECT row_no
SUM(case when field_no = 60 then value_num else 0 end) as amount,
--(case when field_no = 61 then value_char else 0 end) as addInfo,
SUM(case when field_no = 62 then value_num else 0 end) as costUnit
FROM multi_value
WHERE docId = 'T000000095'
GROUP By
row_no
Many thanks in advance.
Thomas
Not very elegant, but works fine :)
SELECT row_no,
SUM(case when field_no = 60 then value_num else 0 end) as amount,
case SUM(case
when field_no = 61 then (
case value_char
when 'Positive' then 1
else 2 end
) else 0 end
) when 1 then 'Positive' else 'Negative' end as addInfo,
SUM(case when field_no = 62 then value_num else 0 end) as costUnit
FROM multi_value
GROUP By
row_no
UPDATE
WITH dist as
(
SELECT DISTINCT value_char
FROM multi_value
WHERE value_char is not null
)
, with_no as
(
select value_char, row_number() over(order by value_char) [no]
from dist
)
, [raw] as
(
SELECT m.row_no,
SUM(case when m.field_no = 60 then m.value_num else 0 end) as amount,
SUM(case when m.field_no = 61 then d.[no] else 0 end) as addInfo,
SUM(case when m.field_no = 62 then m.value_num else 0 end) as costUnit
FROM multi_value m
LEFT JOIN with_no as d on d.value_char = m.value_char
GROUP By
m.row_no
)
SELECT row_no
, amount
, d.value_char as addInfo
, costUnit
FROM [raw] r
LEFT JOIN with_no as d on d.[no] = r.addInfo