i need help on HAVING COUNT , i have a result set of data below:
CREATE TABLE #tmpTest1 (Code VARCHAR(50), Name VARCHAR(100))
INSERT INTO [#tmpTest1]
(
[Code],
[Name]
)
SELECT '160215-039','ROBIN'
UNION ALL SELECT '160215-039','ROBIN'
UNION ALL SELECT '160215-046','SENGAROB'
UNION ALL SELECT '160215-046','BABYPANGET'
UNION ALL SELECT '160215-045','JONG'
UNION ALL SELECT '160215-045','JAPZ'
UNION ALL SELECT '160215-044','AGNES'
UNION ALL SELECT '160215-044','AGNES'
UNION ALL SELECT '160215-041','BABYTOT'
UNION ALL SELECT '160215-041','BABYTOT'
UNION ALL SELECT '160215-041','BABYTOT'
i want to show only the rows that have the same code but different name , so in this case my expected result is below since those are have the same code but different name:
160215-045 JAPZ
160215-045 JONG
160215-046 BABYPANGET
160215-046 SENGAROB
but when i try to group the two columns then use the having count, below is my query:
SELECT [Code], [Name] FROM [#tmpTest1]
GROUP BY [Code], [Name] HAVING COUNT([Code]) > 1
It gives me wrong result below which have the rows that have the same code and name, it is the opposite of what i want.
160215-044 AGNES
160215-041 BABYTOT
160215-039 ROBIN
How can i get my expected output ?
Thanks in advance, any help would much appreciated.
I believe this query will give you the result you want, although your original question is a bit unclear.
SELECT t1.[Code], t1.[Name]
FROM [#tmpTest1] t1
INNER JOIN
(
SELECT [Code]
FROM [#tmpTest1]
GROUP BY [Code]
HAVING COUNT(DISTINCT [Name]) > 1
) t2
ON t1.[Code] = t2.[Code]
Follow the link below for a running demo:
SQLFiddle
If you want rows with the same code and name, then use window functions:
select t.*
from (select t.*, count(*) over (partition by code, name) as cnt
from #temptest1 t
) t
where cnt >= 2;
From your comment
if there is 1 different name for the codes , i want to show those
records for me to know that there is one differs to others..
This sounds like an exists query because you want to check if another row with the same code but different name exists.
select * from [#tmpTest1] t1
where exists (
select 1 from [#tmpTest] t2
where t2.code = t1.code
and t2.name <> t1.name
)
Related
I'm currently writing code in SQL to add the column in red to the following table:
The logic is the following:
For every row:
if flag for this row =1 then use date of this row
if flag for this row =0 then find the latest row (based on date) on which flag was = 1 for the same party and return the date of that row. If no such row exists, return null
I've found a way to do this by joining the table to itself but I would like to avoid doing that as the size of the table is pretty massive.
What I have
select b.*, a.date,
from table a left join table b on a.party=b.party
where a.flag =1
Someone told me I could use the lag function, the partition over function and a case when to return the value I'm after but I haven't been able to figure it out.
Can someone help? Thank you so much!
try this
DECLARE #tab1 TABLE(PARTY CHAR(1),DATE DATE,Flag bit)
INSERT INTO #tab1
SELECT 'A','7-24-2018',1 Union ALL
SELECT 'A','7-28-2018',0 Union ALL
SELECT 'A','7-29-2018',0 Union ALL
SELECT 'A','7-29-2018',0 Union ALL
SELECT 'B','7-13-2018',1 Union ALL
SELECT 'B','7-17-2018',0 Union ALL
SELECT 'B','7-18-2018',0 Union ALL
SELECT 'C','7-8-2018',1 Union ALL
SELECT 'C','7-13-2018',0 Union ALL
SELECT 'C','7-19-2018',0 Union ALL
SELECT 'C','7-19-2018',0 Union ALL
SELECT 'C','7-20-2018',0
select t.*,
max(case when flag = 1 then date end) over (partition by PARTY order by date) as [Last Flag On Date]
from #tab1 t
try this :->
select b.*, a.date, from table a left join table b on a.party=b.party where a.flag = CASE WHEN a.flag = 1 THEN a.date WHEN a.flag = 0 THEN ( SELECT date FROM ( SELECT TOP 1 row_number() OVER ( ORDER BY a.date DESC ) rs , a.date FROM a WHERE a.flag = 1 GROUP BY a.date) s ) END
use CROSS APPLY() to obtain the latest row with flag 1
SELECT *
FROM yourtable t
CROSS APPLY
(
SELECT TOP 1 x.Date as [Last flag on date]
FROM yourtable x
WHERE x.Party = t.Party
AND x.Flag = 1
ORDER BY x.Date desc
) d
Yes it can be done by joining table, if written properly.
#Sahi query is also good and simple.
Since you were asking for Dynamic LAG()
This query may or may not be very performant,but it certainly worth learning.
Test this with various sample data and tell me for which scenario it do not work.
So that I correct my script accordingly.
DECLARE #tab1 TABLE(PARTY CHAR(1),DATE DATE,Flag bit)
INSERT INTO #tab1
SELECT 'A','7-24-2018',1 Union ALL
SELECT 'A','7-28-2018',0 Union ALL
SELECT 'A','7-29-2018',0 Union ALL
SELECT 'A','7-29-2018',0 Union ALL
SELECT 'B','7-13-2018',1 Union ALL
SELECT 'B','7-17-2018',0 Union ALL
SELECT 'B','7-18-2018',0 Union ALL
SELECT 'C','7-8-2018',1 Union ALL
SELECT 'C','7-13-2018',0 Union ALL
SELECT 'C','7-19-2018',0 Union ALL
SELECT 'C','7-19-2018',0 Union ALL
SELECT 'C','7-20-2018',0;
WITH cte
AS (SELECT *,
Row_number()
OVER (
partition BY party
ORDER BY flag DESC, [date] DESC ) rn
FROM #tab1)
SELECT *,
CASE
WHEN flag = 1 THEN [date]
ELSE Lag([date], (SELECT TOP 1 a.rn - a1.rn
FROM cte a1
WHERE a1.party = a.party))
OVER (
ORDER BY party )
END
FROM cte a
I have different simple SQL request that return only one value. Example
SELECT COUNT(*) FROM Person
OR
SELECT COUNT(*) FROM Category
I would to get all these infos in a unique request, with a column by request...
I tried something like that but it doesn't work :
SELECT COUNT(C.CategoryId) As nbPeople, COUNT(P.PersonID) As nbCategories FROM Category C, Person P
This works but I get only one column, and a row by request
SELECT COUNT(*) FROM Person UNION SELECT COUNT(*) FROM Category
How Can I simply do that ?
Thanks
When using SQL Server, you can try this:
SELECT ( select COUNT(C.CategoryId)
from Category C
) As nbPeople
, ( select COUNT(P.PersonID)
from Person P
) As nbCategories
In Oracle for example, you need to add this at the bottom
FROM dual
You can use UNION ALL like following:
SELECT '' AS [StatisticName], 1 AS [StatisticCount]
WHERE 1=0
UNION ALL
SELECT 'PersonCount', COUNT(*) FROM [Person]
UNION ALL
SELECT 'CathegoryCount', COUNT(*) FROM [Category]
First select with WHERE 1=0 is for create column header names only and is not necessary.
Try this.
select * from
(select count(*) cnt1
from Table1) t1
join
(select count(*) as cnt2
from Table2) t2 on 1=1
i need your help to insert into from select but my query is too complex for me. My logic is below
INSERT INTO TheTable(A,CustomerNo,item,B,C,D)
SELECT DISTINCT
case when ((select count(*) from hesap where CustomerNo=e.CustomerNo)0) then
select top 1, A,CustomerNo,item+1,B,C,D
from dbo.Table1 order by ekno desc
) else select 100,e.CustomerNo,e.item,0,e.defterid,'C'
from Table2 e end
But i can not do that...
You can do case on column basis only.
What you can do is UNIONing two selects, and insert the result. Something like
INSERT INTO TheTable(A,CustomerNo,item,B,C,D)
SELECT ...
WHERE (select count(*) from hesap where CustomerNo=e.CustomerNo) = 0
UNION
SELECT select 100,e.CustomerNo,e.item,0,e.defterid,'C'
WHERE (select count(*) from hesap where CustomerNo=e.CustomerNo) > 0
I'm sorry, I cannot always follow your Select, but I hope you got the idea. You have to separate the 2 possibilities before you UNION them, so only 1 row can exist for each original row.
Can you try removing the comma after top 1 Like this:
INSERT INTO TheTable(A,CustomerNo,item,B,C,D)
SELECT DISTINCT
case when ((select count(*) from hesap where CustomerNo=e.CustomerNo)0) then
select top(1) A,CustomerNo,item+1,B,C,D
from dbo.Table1 order by ekno desc
)
else select 100,e.CustomerNo,e.item,0,e.defterid,'C'
from Table2 e end
I need to count rows in more than one table in SQL Server 2008. I do this:
select count(*) from (select * from tbl1 union all select * from tbl2)
But it gives me an error of incorrect syntax near ). Why?
PS. The actual number of tables can be more than 2.
In case you have different number of columns in your tables try this way
SELECT count(*)
FROM (
SELECT NULL as columnName
FROM tbl1
UNION ALL
SELECT NULL
FROM tbl2
) T
try this:
You have to give a name to your derived table
select count(*) from
(select * from tbl1 union all select * from tbl2)a
I think you have to alias the SELECT in the FROM clause:
select count(*)
from
(
select * from tbl1
union all
select * from tbl2
) AS SUB
You also need to ensure that the * in both tables tbl1 and tbl2 return exactly the same number of columns and they have to be matched in their type.
I don't like doing the union before doing the count. It gives the SQL optimizer an opportunithy to choose to do more work.
AlexK's (deleted) solution is fine. You could also do:
select (select count(*) from tbl1) + (select count(*) from tbl2) as cnt
I can perform the following SQL Server selection of distinct (or non-repeating names) from a column in one table like so:
SELECT COUNT(DISTINCT [Name]) FROM [MyTable]
But what if I have more than one table (all these tables contain the name field called [Name]) and I need to know the count of non-repeating names in two or more tables.
If I run something like this:
SELECT COUNT(DISTINCT [Name]) FROM [MyTable1], [MyTable2], [MyTable3]
I get an error, "Ambiguous column name 'Name'".
PS. All three tables [MyTable1], [MyTable2], [MyTable3] are a product of a previous selection.
After the clarification, use:
SELECT x.name, COUNT(x.[name])
FROM (SELECT [name]
FROM [MyTable]
UNION ALL
SELECT [name]
FROM [MyTable2]
UNION ALL
SELECT [name]
FROM [MyTable3]) x
GROUP BY x.name
If I understand correctly, use:
SELECT x.name, COUNT(DISTINCT x.[name])
FROM (SELECT [name]
FROM [MyTable]
UNION ALL
SELECT [name]
FROM [MyTable2]
UNION ALL
SELECT [name]
FROM [MyTable3]) x
GROUP BY x.name
UNION will remove duplicates; UNION ALL will not, and is faster for it.
EDIT: Had to change after seeing recent comment.
Does this give you what you want? This gives a count for each person after combining the rows from all tables.
SELECT [NAME], COUNT(*) as TheCount
FROM
(
SELECT [Name] FROM [MyTable1]
UNION ALL
SELECT [Name] FROM [MyTable2]
UNION ALL
SELECT [Name] FROM [MyTable3]
) AS [TheNames]
GROUP BY [NAME]
Here's another way:
SELECT x.name, SUM(x.cnt)
FROM ( SELECT [name], COUNT(*) AS cnt
FROM [MyTable]
GROUP BY [name]
UNION ALL
SELECT [name], COUNT(*) AS cnt
FROM [MyTable2]
GROUP BY [name]
UNION ALL
SELECT [name], COUNT(*) AS cnt
FROM [MyTable3]
GROUP BY [name]
) AS x
GROUP BY x.name
In case you have different amounts of columns per table, like:
table1 has 3 columns,
table2 has 2 columns,
table3 has 1 column
And you want to count the amount of distinct values of different column names, what it was useful to me in AthenaSQL was to use CROSS JOIN since your output would be only one row, it would be just 1 combination:
SELECT * FROM (
SELECT COUNT(DISTINCT name1) as amt_name1,
COUNT(DISTINCT name2) as amt_name2,
COUNT(DISTINCT name3) as amt_name3,
FROM table1 ) t1
CROSS JOIN
(SELECT COUNT(DISTINCT name4) as amt_name4,
COUNT(DISTINCT name5) as amt_name5,
MAX(t3.amt_name6) as amt_name6
FROM table2
CROSS JOIN
(SELECT COUNT(DISTINCT name6) as amt_name6
FROM table3) t3) t2
Would return a table with one row and their counts:
amt_name1 | amt_name2 | amt_name3 | amt_name4 | amt_name5 | amt_name6
4123 | 675 | 564 | 2346 | 18667 | 74567