I have this code
select
count(cat_item_tb.item_id),
count(t.item_id)
from
cat_tb
inner join
item_tb on cat_tb.cat_id = item_tb.cat_id
inner join
cat_item_tb on item_tb.item_id = cat_item_tb.item_id and t.ss = 0
inner join
cat_item_tb t on item_tb.item_id = t.item_id and t.ss = 1
All I need to return value without duplicate. In past code it must return 7 in every count but it's return 49 the two count() affected each other. I use distinct but it does not return the correct count, because there is (item_id) more than once in table
Thank you so much
Seems to me that you need to count distinct, to count the unique values
...
count(DISTINCT cat_item_tb.item_id)
...
The 2 counts in your query will be the same. That's simply because you INNER JOIN on those item_id's. So they will be identical by defenition.
If I understand correctly the task, you could use groub by to get desired results
select count(cat_item_tb.item_id), cat_item_tb.ss
from cat_tb
inner join item_tb on cat_tb.cat_id = item_tb.cat_id
inner join cat_item_tb on item_tb.item_id = cat_item_tb.item_id
where t.ss = 0 or t.ss = 1
group by cat_item_tb.ss
The query will return 2 rows with count values in first column.
More info about group by is here link
I believe you wanted to write something like:
select
count(c1.item_id),
count(c2.item_id)
from
cat_tb as a
inner join item_tb as b on ( a.cat_id = b.cat_id )
inner join cat_item_tb as c1 on ( b.item_id = c1.item_id ) and ( c1.ss = 0 )
inner join cat_item_tb as c2 on ( b.item_id = c2.item_id ) and ( c2.ss = 1 )
This won't work because of the inner joins. If the first join of c1 returns 3 rows and the second join of c2 returns 4 rows, you end up with count = 3*4
Try this:
;with cte1 as (
select
b.item_id,
'c1_count' = count( c1.item_id )
from
item_tb as b
left join cat_item_tb as c1 on ( b.item_id = c1.item_id ) and ( c1.ss = 0 )
group by
b.item_id
),
cte2 as (
select
b.item_id,
'c2_count' = count(c2.item_id)
from
item_tb as b
left join cat_item_tb as c2 on ( b.item_id = c2.item_id ) and ( c2.ss = 1 )
group by
b.item_id
)
select
a.item_id, a.c1_count, b.c2_count
from
cte1 as a
inner join cte2 as b on ( b.item_id = a.item_id )
For performance reasons you could replace the left join in ctes with inner join ONLY if you are sure that there are rows in cat_item_tb with item_id and all of them has the ss column set to 0 or 1.
Related
we're trying to make our table add together all values in column 2 (QtyComp - an expression column of qtyorder * totalqty basically), where they have the same ItemNo (column 1).
So, we currently get the below:
ItemNo QtyCom
7441 3
7441 1
7441 5
What we want is it to return this:
ItemNo QtyCom
7441 9
Our code is below; I've bolded the part that we need it to sum the results of:
SELECT TOP (100) PERCENT ItemSpecs_2.itemno,
workorderdetails.qtycomplete *
ItemSpecFullStruc_2.totalqtyperroot AS QtyComp
FROM dbo.workorderdetails AS WorkOrderDetails
INNER JOIN dbo.itemspecfullstruc AS ItemSpecFullStruc_2
ON ItemSpecFullStruc_2.rootitemspecid =
workorderdetails.itemspecid
INNER JOIN dbo.itemspecs AS ItemSpecs_2
ON ItemSpecs_2.itemspecid = ItemSpecFullStruc_2.childitemspecid
INNER JOIN dbo.workorder AS WorkOrder_1
ON WorkOrder_1.workorderid = workorderdetails.workorderid
LEFT OUTER JOIN dbo.tobescheduled_completed
ON WorkOrder_1.workorderid =
dbo.tobescheduled_completed.workorderid
WHERE ( workorderdetails.completed = 1 )
AND ( workorderdetails.compdate > Getdate() - 42 )
GROUP BY ItemSpecs_2.itemno,
workorderdetails.qtyordered,
ItemSpecFullStruc_2.totalqtyperroot,
workorderdetails.[lineno],
workorderdetails.qtycomplete,
workorderdetails.compdate,
workorderdetails.qtycomplete * ItemSpecFullStruc_2.totalqtyperroot
We would really appreciate some ideas!
Thanks,
Trish
Try this
SELECT TOP (100) PERCENT ItemSpecs_2.itemno,
sum(workorderdetails.qtycomplete *
ItemSpecFullStruc_2.totalqtyperroot) AS QtyComp
FROM dbo.workorderdetails AS WorkOrderDetails
INNER JOIN dbo.itemspecfullstruc AS ItemSpecFullStruc_2
ON ItemSpecFullStruc_2.rootitemspecid =
workorderdetails.itemspecid
INNER JOIN dbo.itemspecs AS ItemSpecs_2
ON ItemSpecs_2.itemspecid = ItemSpecFullStruc_2.childitemspecid
INNER JOIN dbo.workorder AS WorkOrder_1
ON WorkOrder_1.workorderid = workorderdetails.workorderid
LEFT OUTER JOIN dbo.tobescheduled_completed
ON WorkOrder_1.workorderid =
dbo.tobescheduled_completed.workorderid
WHERE ( workorderdetails.completed = 1 )
AND ( workorderdetails.compdate > Getdate() - 42 )
GROUP BY ItemSpecs_2.itemno,
workorderdetails.qtyordered,
ItemSpecFullStruc_2.totalqtyperroot,
workorderdetails.[lineno],
workorderdetails.qtycomplete,
workorderdetails.compdate
Once you will use top for select statement, you need to use order by. you can try the following query.
SELECT TOP(100) PERCENT A.itemno,SUM(QtyComp) FROM
(SELECT ItemSpecs_2.itemno,
(workorderdetails.qtycomplete *
ItemSpecFullStruc_2.totalqtyperroot) AS QtyComp
FROM dbo.workorderdetails AS WorkOrderDetails
INNER JOIN dbo.itemspecfullstruc AS ItemSpecFullStruc_2
ON ItemSpecFullStruc_2.rootitemspecid =
workorderdetails.itemspecid
INNER JOIN dbo.itemspecs AS ItemSpecs_2
ON ItemSpecs_2.itemspecid = ItemSpecFullStruc_2.childitemspecid
INNER JOIN dbo.workorder AS WorkOrder_1
ON WorkOrder_1.workorderid = workorderdetails.workorderid
LEFT OUTER JOIN dbo.tobescheduled_completed
ON WorkOrder_1.workorderid =
dbo.tobescheduled_completed.workorderid
WHERE ( workorderdetails.completed = 1 )
AND ( workorderdetails.compdate > Getdate() - 42 ) ) A
GROUP BY A.itemno
ORDER BY A.itemno
Thanks
SELECT SUM(QTYCOM) OVER (PARTITION BY ITEMNO)
FROM
...
I have this bit of sql
SELECT pd.id, pd.title, pd.fname, pd.lname, pd.DOB, pd.phone_home, pd.phone_biz, pd.phone_contact, pd.phone_cell, pd.sex, pd.email, pd.pid, f.form_id, ldf1.field_value AS autoleaxis, ldf2.field_value AS autolecyl
FROM patient_data pd
LEFT JOIN forms f ON pd.pid = f.pid
LEFT JOIN `lbf_data` ldf1 ON ldf1.form_id = f.form_id
LEFT JOIN `lbf_data` ldf2 ON ldf1.form_id = ldf2.form_id
WHERE (
f.form_name = 'Opthalmology'
AND ldf1.field_id = 'autoleaxis'
AND ldf2.field_id = 'autolecyl'
)
OR (
f.form_id IS NULL
AND ldf1.field_id IS NULL
AND ldf2.field_id IS NULL
)
ORDER BY pd.pid
Which is for a MySQL Database. It works ok except it is returning more than one record per person in some cases as they have more than one form_id. How do I restrict it so that it only returns the records for highest form_id that the person has or form_id set to null if there isn't one. Thanks
You can use subquery in LEFT JOIN, as with:
SELECT *
FROM patient_data pd
LEFT JOIN
(
select max(form_id) as form_id, pid, form_name
from forms as f2
) as f
ON pd.pid = f.pid
LEFT JOIN `lbf_data` ldf1 ON ldf1.form_id = f.form_id
LEFT JOIN `lbf_data` ldf2 ON ldf1.form_id = ldf2.form_id
WHERE (
f.form_name = 'Opthalmology'
AND ldf1.field_id = 'autoleaxis'
AND ldf2.field_id = 'autolecyl'
)
OR (
f.form_id IS NULL
AND ldf1.field_id IS NULL
AND ldf2.field_id IS NULL
)
ORDER BY pd.pid
You can test in here
I want to fetch data for a perticular product on basis of last user & respective last used time.Example
Host Product LastUserName LastUsedTime
1 X1 ABC 6/13/2014
1 X1 ABC 6/14/2014
1 X1 ABC 6/15/2014
1 X1 XYZ 6/14/2014
1 X1 XYZ 6/15/2014
1 X1 XYZ 6/16/2014
I have tried MAX function and find data as
Host Product LastUserName LastUsedTime
1 X1 ABC 6/15/2014
1 X1 XYZ 6/16/2014
But unable to get desired output which is
Host Product LastUserName LastUsedTime
1 X1 XYZ 6/16/2014
SQL:
select a.Netbios_Name0, b.DisplayName0, c.LastUserName0,
MAX(c.LastUsedTime0) as [Last Used Time]
from table1 a,table2 b,table3 c
where a.ItemKey = b.ResourceID
and a.ItemKey = c.ResourceID
group by a.Netbios_Name0, b.DisplayName0, c.LastUserName0
order by b.DisplayName0
Thanks for Help !!
For MSSQL :
select a.host, a.Product, a.LastUserName, a.LastUsedTime
from tablex a join
(
select Host, Product, max(LastUsedTime) as LastUsedTime
from tablex
group by Host, Product
) b on a.host = b.host and a.Product = b.Product and a.LastUsedTime = b.LastUsedTime
If you just want one row, don't use GROUP BY. Just order the results and use TOP 1 to get the first row (LIMIT 1 is for MySQL -- this is why you should always tell your RDBMS in questions).
select TOP 1 a.Netbios_Name0, b.DisplayName0, c.LastUserName0, c.LastUsedTime0
from table1 a,table2 b,table3 c
where a.ItemKey = b.ResourceID
and a.ItemKey = c.ResourceID
ORDER BY c.LastUsedTime0 DESC
Try this:
SELECT TOP 1 a.Netbios_Name0, b.DisplayName0, c.LastUserName0,
c.LastUsedTime0 as [Last Used Time]
FROM table1 a INNER JOIN
table2 b ON a.ItemKey = b.ResourceID INNER JOIN
table3 c ON a.ItemKey = c.ResourceID
WHERE c.LastUsedTime0 = (SELECT TOP 1 LastUsedTime0 FROM table3 WHERE ResourceID = c.ResourceID)
To get the row with the last date per product you first need to get that last date, then JOIN back to the others values
WITH L AS (
SELECT b.DisplayName0, MAX(c.LastUsedTime0) LastUsedTime0
FROM table2 b
INNER JOIN table3 c ON b.ResourceID = c.ResourceID
GROUP BY b.DisplayName0
)
SELECT a.Netbios_Name0, b.DisplayName0, c.LastUserName0
, c.LastUsedTime0 as [Last Used Time]
FROM table1 a
INNER JOIN table2 b ON a.ItemKey = b.ResourceID
INNER JOIN table3 c ON a.ItemKey = c.ResourceID
INNER JOIN L ON b.DisplayName0 = L.DisplayName0
AND c.LastUsedTime0 = L.LastUsedTime0
ORDER BY b.DisplayName0
if you need to separate also the host name you need to change the query to
WITH L AS (
SELECT a.Netbios_Name0, b.DisplayName0, MAX(c.LastUsedTime0) LastUsedTime0
FROM table1 a
INNER JOIN table2 b ON a.ItemKey = b.ResourceID
INNER JOIN table3 c ON a.ItemKey = c.ResourceID
GROUP BY a.Netbios_Name0, b.DisplayName0
)
SELECT a.Netbios_Name0, b.DisplayName0, c.LastUserName0
, c.LastUsedTime0 as [Last Used Time]
FROM table1 a
INNER JOIN table2 b ON a.ItemKey = b.ResourceID
INNER JOIN table3 c ON a.ItemKey = c.ResourceID
INNER JOIN L ON a.Netbios_Name0 = L.Netbios_Name0
AND b.DisplayName0 = L.DisplayName0
AND c.LastUsedTime0 = L.LastUsedTime0
ORDER BY b.DisplayName0
As a last advice please stop to write the JOIN definition in the WHERE clause, it's less readable and mix to different ideas
;with cte as
(
select max(lastusedtime) over (PARTITION by product) as mdate
,host,product,lastusername ,lastusedtime
from test1
)
select distinct host,product,lastusername ,lastusedtime from cte
where lastusedtime=mdate
SELECT Product_Usage.*
FROM Product_Usage
INNER JOIN (SELECT Product, max(LastUsedTime) LastUSedTime
FROM Product_Usage
GROUP BY Product) LastUsed
ON Product_Usage.Product = LastUsed.Product
AND Product_Usage.LastUsedTime = LastUsed.LastUsedTime
Try this:
SELECT TOP 1 * FROM table_name ORDER BY LastUsername DESC, LastUsedTime DESC
I have a select statement similar to the following:
select *
from A
inner join B on A.id_x = B.id_x
inner join C on B.id_y = C.id_y
inner join D on C.id_z = D.id_z
where
A.date > '2014-01-01'
and A.id_y = 154
and D.id_t = 2
What I want is to do something like this and count(A.id_x) > 1, which returns only the parts of the original select which repeat on A.id_x.
Is this possible?
EDIT:
I just tried to solve it using temp tables, with the code I got from T-SQL Insert into table without having to specify every column
Select * Into
#tmpBigTable
From [YourBigTable]
But I got an error message because my tables have the same column names, A.id_x and B.id_x, for example.
"Column names in each table must be unique."
Is there some way to force the issue, or declare arbitrary naming extensions?
select *
from A
inner join B on A.id_x = B.id_x
inner join C on B.id_y = C.id_y
inner join D on C.id_z = D.id_z
where
A.date > '2014-01-01'
and A.id_y = 154
and D.id_t = 2
AND A.id_x IN
(
SELECT A.id_x FROM A
GROUP BY A.id_x
HAVING count(A.id_x)>1);
You can do this with window functions:
select *
from (select *, count(*) over (partition by A.id_x) as cnt
from A inner join
B
on A.id_x = B.id_x inner join
C
on B.id_y = C.id_y inner join
D
on C.id_z = D.id_z
where A.date > '2014-01-01' and A.id_y = 154 and D.id_t = 2
) abcd
where cnt > 1;
I have this query which returns qty in each of my branch. now the branch has two WH_subType as you see in the attached diagram i have attached. I want to sum the 2 subtype and show its available qty. how can i do it.
my select query is like this
SELECT
dbo.WarehouseType.name AS Section,
dbo.WarehouseSubType.name AS WH_Type,
dbo.WarehouseSubType1.name AS WH_SubType,
dbo.Branch.name AS Branch,
(dbo.WarehouseProductQuantity.actualQuantity - dbo.WarehouseProductQuantity.reservedQuantity) AS AvailQty,
dbo.WarehouseProductQuantity.tafsilId AS Tafsil,
dbo.Tafsil.description AS Product_Name
FROM
dbo.WarehouseSubType
INNER JOIN
dbo.WarehouseType
ON
(
dbo.WarehouseSubType.warehouseTypeId = dbo.WarehouseType.id)
INNER JOIN
dbo.WarehouseSubType1
ON
(
dbo.WarehouseSubType.id = dbo.WarehouseSubType1.warehouseSubTypeId)
INNER JOIN
dbo.Warehouse
ON
(
dbo.WarehouseSubType1.id = dbo.Warehouse.warehouseSubType1Id)
INNER JOIN
dbo.Branch
ON
(
dbo.Warehouse.branchId = dbo.Branch.id)
INNER JOIN
dbo.WarehouseProductQuantity
ON
(
dbo.Warehouse.id = dbo.WarehouseProductQuantity.warehouseId)
INNER JOIN
dbo.TafsilLink
ON
(
dbo.WarehouseProductQuantity.tafsilId = dbo.TafsilLink.sourceId)
INNER JOIN
dbo.Tafsil
ON
(
dbo.TafsilLink.targetId = dbo.Tafsil.id)
INNER JOIN
dbo.FinishProduct
ON
(
dbo.Tafsil.id = dbo.FinishProduct.tafsilId)
INNER JOIN
dbo.Supplier
ON
(
dbo.FinishProduct.supplierId = dbo.Supplier.tafsilId)
WHERE
WarehouseSubType1.warehouseSubTypeId IN (1,4)
group by dbo.WarehouseProductQuantity.tafsilId
Have you tried a group by
SELECT SubType, SUM(qty) AS QtySum
GROUP BY SubType
Every grouped by column should be in your select. Note: for every column you group by it further sub divides the data
Update based on OP comment:
If you want other columns you need to do something like
SELECT s.WH_SubType,s.AvailQty, t.other_cols
from
(SELECT
dbo.WarehouseSubType1.name AS WH_SubType,
sum(dbo.WarehouseProductQuantity.actualQuantity - dbo.WarehouseProductQuantity.reservedQuantity) AS AvailQty
FROM
table
GROUP BY
dbo.WarehouseSubType1.name) s
left join table t on t.dbo.WarehouseSubType1.name = s.WH_SubType;
For reference see this question: How do I use "group by" with three columns of data?
UPDATE 2:
SELECT
dbo.WarehouseType.name AS Section,
dbo.WarehouseSubType.name AS WH_Type,
dbo.WarehouseSubType1.name AS WH_SubType,
dbo.Branch.name AS Branch,
SumTable.AvailQty,
SumTable.Tafsil,
dbo.Tafsil.description AS Product_Name
FROM
dbo.WarehouseSubType
INNER JOIN
dbo.WarehouseType
ON
(
dbo.WarehouseSubType.warehouseTypeId = dbo.WarehouseType.id)
INNER JOIN
dbo.WarehouseSubType1
ON
(
dbo.WarehouseSubType.id = dbo.WarehouseSubType1.warehouseSubTypeId)
INNER JOIN
dbo.Warehouse
ON
(
dbo.WarehouseSubType1.id = dbo.Warehouse.warehouseSubType1Id)
INNER JOIN
dbo.Branch
ON
(
dbo.Warehouse.branchId = dbo.Branch.id)
INNER JOIN
dbo.WarehouseProductQuantity
ON
(
dbo.Warehouse.id = dbo.WarehouseProductQuantity.warehouseId)
INNER JOIN
dbo.TafsilLink
ON
(
dbo.WarehouseProductQuantity.tafsilId = dbo.TafsilLink.sourceId)
INNER JOIN
dbo.Tafsil
ON
(
dbo.TafsilLink.targetId = dbo.Tafsil.id)
INNER JOIN
dbo.FinishProduct
ON
(
dbo.Tafsil.id = dbo.FinishProduct.tafsilId)
LEFT JOIN (SELECT
sum(dbo.WarehouseProductQuantity.actualQuantity - dbo.WarehouseProductQuantity.reservedQuantity) AS AvailQty,
dbo.WarehouseProductQuantity.tafsilId AS Tafsil
FROM
dbo.WarehouseProductQuantity
group by dbo.WarehouseProductQuantity.tafsilId) SumTable on dbo.Tafsil.id = SumTable.Tafsil
WHERE
WarehouseSubType1.warehouseSubTypeId IN (1,4)
You need to do something like
SELECT SUM(AvailQty), ... FROM ... WHERE ... GROUP BY WH_SubType
http://www.w3schools.com/sql/sql_func_sum.asp
http://www.w3schools.com/sql/sql_groupby.asp