I'm trying to design a database and I have grouped a certain data as follows
select Name, prod_cat, prod_country, count(*)
from table1
group by Name, prod_cat, prod_country
union
select Name, prod_cat, prod_country, count(*)
from table2
group by Name, prod_cat, prod_country
Now for the resultant data from the query above, I would like to add an auto-increment ID as a VARCHAR column which should start as 'U000001' , 'U000002' , 'U000003' , 'U000004' ... all the way to the last column
For a better database, is it better to put the resultant query into a temporary table/view or is it better to use a stored procedure as there could be more data coming in
How can I add an auto-incrementing ID VARCHAR column to the above mentioned select query? Should I use Declare and increment?
Expected result :
Prod_ID
Name
Prod_cat
Prod_country
U000001
abc
12
USA
U000002
efg
1
IND
U000003
def
3
MEX
U000004
ijk
21
CHN
Related
i have table with query i can get final price , i want join query to table as new column.
my query:
SELECT ID , Name FROM dbo.AshkhasList
select dbo.Person_Mande(40,'1398/01/01','1400/12/29',DEFAULT)
line 1 query call table with id and name , line 2 get final price as id.
i want join final price query line 2 as column name Price inside name in result.
i found my problem:
SELECT ID , Name , dbo.Person_Mande(ID,'1398/01/01','1400/12/29',DEFAULT) AS Mande FROM dbo.AshkhasList
I have table like this :
id name qt
----------------
0 mm 4
1 mm 5
2 xx 8
I want update it or get new table that will produce this kind of result:
id name qt
------------------
0 mm 9 (sum of the two or multiple some identical )
1 xx 8
Including the id column will cause the GROUP BY to fail since multiple records are being summed that have different ids.
SELECT name, SUM(qt) as qt_sum
FROM table GROUP BY name
SELECT ROW_NUMBER() OVER (ORDER BY name) AS id
, name
, SUM(qt) AS qt
FROM YourTableName
GROUP BY name
ORDER BY name
I'm making the assumption that the id field doesn't actually mean anything because the id of the record xx actually changes between your two visuals. That's why I'm setting it by ROW_NUMBER() so it increments for distinct name. If this isn't the case, remove the ROW_NUMBER() expression and add id to the GROUP BY clause. This does mean that records in the name field may change depending on the number of distinct names.
If you really need and id column you could create one like this...
create table Test (id int, name varchar(10), qt int)
insert into Test values (0, 'mm', 4)
insert into Test values (1, 'mm', 5)
insert into Test values (2, 'xx', 8)
select
row_number() over (order by name) - 1
, name
, sum(qt) as qt
from Test
group by name
There may be some cases where this does not work for you, but with such limited sample data it is hard to tell.
WITH group1 AS
(
SELECT
[column1],
[column2]
FROM
table1
),
Group2 AS
(
SELECT
(column3),
COUNT(column3)
FROM
table 2 AS Count
WHERE
(year (date_value) = 2018 and month(Date_vaLue) = 2)
GROUP BY
column2
)
SELECT *
FROM group1
JOIN group2 ON group1. table1 = group2.table2;
I get an error:
No column name was specified for column 2 of 'group2'
As this isn't a column and is just an identifier I am confused why it thinks the code (Group2 AS (Select (column3 ),) is a column.
I am new at sql so this might just be a silly error
Column 1 is a name and column two is a unique key for that name
Column 2 and column 3 contain the same exact data and I am simply trying to show the number of times it occurs in the DB on the column 3 table, including 0, and relate it back to column 1.
Each datapoint in column 3 contains only data from column2.
Thanks in advance!
There are so many errors in that query, I don't know where to start
In a cte each column must have a name. select columnname makes the resulting column named columnname. An aggregation function like count does not set a column name, so your second column in your second cte does not have a name, as the error states. Use
SELECT column, count(othercolumn) AS ctcol ...
You can't add columns you don't use in the grouping to your select list without an aggregation function. Furthermore you can't add a column aggregated and unggregated to the select list. But I suppose, that's only a typo
SELECT column2, COUNT(column3) AS ctcol
FROM tablexy
...
GROUP BY column2
Your cte don't have any columns named table1 or table2, so your join won't work. Use column named from the cte
SELECT * FROM group1 JOIN group2 ON group1.column2 = group2.column2
I think you need to name the column COUNT(column3) , so...
Group2 AS (Select (column3 ),
COUNT (column3) as cntr
From table 2 as Count
Where (year (date_value) = 2018 and month(Date_vaLue) = 2)
Group by column2
)
Sorry about the title, not sure how to describe without example. I trying to implement faceting of attributes in SQL Server 2008.
I have 2 tables. itemAttributes and facetParameters
Assume the following values in itemAttributes
id, itemId, name, value
---------------------------------------
1 1 keywords example1
2 1 keywords example2
3 2 color red
4 2 keywords example1
5 2 keywords example2
6 3 keywords example2
7 3 color red
8 3 color blue
Assume the following values in facetParameters
name value
----------------------
keywords example1
color red
I need to retrieve the (optional: distinct) itemIds where a given itemId has rows that contain all the values in facetParameters.
e.g. given the rows in facetParameters the query should return itemId 2. At the moment I would be using this in a CTE however given that they do not support a number of features I can work around this if there is no solution that works inside a CTE.
I have done a fair bit of sql over the years but this one has really stumped me and the shame is I keep thinking the answer must be simple.
You could join both tables, and use a having clause to ensure that all items match:
select ia.itemid
from #itemAttributes ia
inner join #facetParameters fp
on ia.name = fp.name
and ia.value = fp.value
group by ia.itemid
having count(distinct fp.name) =
(
select count(*) from #facetParameters
)
The count in the having clause assumes that the name uniquely identifies a row in the facetParameters table. If it doesn't, add an identity column to facetParameters, and use count(distinct id_column) instead of count(distinct fp.name).
Here's code to create the data set in the question:
declare #itemAttributes table (id int, itemId int,
name varchar(max), value varchar(max))
insert into #itemAttributes
select 1,1,'keywords','example1'
union all select 2,1,'keywords','example2'
union all select 3,2,'color','red'
union all select 4,2,'keywords','example1'
union all select 5,2,'keywords','example2'
union all select 6,3,'keywords','example2'
union all select 7,3,'color','red'
union all select 8,3,'color','blue'
declare #facetParameters table (name varchar(max), value varchar(max))
insert into #facetParameters
select 'keywords','example1'
union all select 'color','red'
I have an interesting SQL problem that I need help with.
Here is the sample dataset:
Warehouse DateStamp TimeStamp ItemNumber ID
A 8/1/2009 10001 abc 1
B 8/1/2009 10002 abc 1
A 8/3/2009 12144 qrs 5
C 8/3/2009 12143 qrs 5
D 8/5/2009 6754 xyz 6
B 8/5/2009 6755 xyz 6
This dataset represents inventory transfers between two warehouses. There are two records that represent each transfer, and these two transfer records always have the same ItemNumber, DateStamp, and ID. The TimeStamp values for the two transfer records always have a difference of 1, where the smaller TimeStamp represents the source warehouse record and the larger TimeStamp represents the destination warehouse record.
Using the sample dataset above, here is the query result set that I need:
Warehouse_Source Warehouse_Destination ItemNumber DateStamp
A B abc 8/1/2009
C A qrs 8/3/2009
D B xyz 8/5/2009
I can write code to produce the desired result set, but I was wondering if this record combination was possible through SQL. I am using SQL Server 2005 as my underlying database. I also need to add a WHERE clause to the SQL, so that for example, I could search on Warehouse_Source = A. And no, I can't change the data model ;).
Any advice is greatly appreciated!
Regards,
Mark
SELECT source.Warehouse as Warehouse_Source
, dest.Warehouse as Warehouse_Destination
, source.ItemNumber
, source.DateStamp
FROM table source
JOIN table dest ON source.ID = dest.ID
AND source.ItemNumber = dest.ItemNumber
AND source.DateStamp = dest.DateStamp
AND source.TimeStamp = dest.TimeStamp + 1
Mark,
Here is how you can do this with row_number and PIVOT. With a clustered index or primary key on the columns as I suggest, it will use a straight-line query plan with no Sort operation, thus be particularly efficient.
create table T(
Warehouse char,
DateStamp datetime,
TimeStamp int,
ItemNumber varchar(10),
ID int,
primary key(ItemNumber,DateStamp,ID,TimeStamp)
);
insert into T values ('A','20090801','10001','abc','1');
insert into T values ('B','20090801','10002','abc','1');
insert into T values ('A','20090803','12144','qrs','5');
insert into T values ('C','20090803','12143','qrs','5');
insert into T values ('D','20090805','6754','xyz','6');
insert into T values ('B','20090805','6755','xyz','6');
with Tpaired(Warehouse,DateStamp,TimeStamp,ItemNumber,ID,rk) as (
select
Warehouse,DateStamp,TimeStamp,ItemNumber,ID,
row_number() over (
partition by ItemNumber,DateStamp,ID
order by TimeStamp
)
from T
)
select
max([1]) as Warehouse_Source,
max([2]) as Warehouse_Destination,
ItemNumber,
DateStamp
from Tpaired
pivot (
max(Warehouse) for rk in ([1],[2])
) as P
group by ItemNumber, DateStamp, ID;
go
drop table T;