i have two table table1 and table2 ItemId foreing key to Table 2
Table 1
|itemsId | Item | Quantity|
----------------------------
1 | item | 20
Table 2
|ItemId | Status | Quantity
---------------------------
1 |Item Out| 5
I subtract quantity in table1 - table2 and assign the value in New Column Called Remain now the problem is i want join the result column with table 1 and table2
ItemId | Item | Quantity | Remaining |
---------------------------------------
1 | item | 20 | 15
I have try This
SELECT *
FROM (select i.ItemsId,i.Date,s.[Item Name],i.Quantity,i.[Recieved By],i.[From],i.[Reference No]
from Store s inner join
ItemsMovement i
on s.ItemsId = i.ItemsId
group by i.ItemsId
) T1 INNER JOIN
(select SUM(a.Quantity - b.Quantity) AS Remaining
FROM Store a inner join
ItemsMovement b
on a.ItemsId = b.ItemsId
where b.Status ='Items In'
group by a.ItemsId
) T2
I think you can do what you want more easily with conditional aggregation:
select i.ItemsId, i.Date, s.[Item Name], i.Quantity, i.[Recieved By],
i.[From],i.[Reference No],
sum(case when i.Status = 'Items In' then s.Quantity - i.Quantity end) as remaining
from Store s inner join
ItemsMovement i
on s.ItemsId = i.ItemsId
group by i.ItemsId;
Related
I have these tables and values:
Person Account
------------------ -----------------------
ID | CREATED_BY ID | TYPE | DATA
------------------ -----------------------
1 | 1 | T1 | USEFUL DATA
2 | 2 | T2 |
3 | 3 | T3 |
4 | 4 | T2 |
Person_account_link
--------------------------
ID | PERSON_ID | ACCOUNT_ID
--------------------------
1 | 1 | 1
2 | 1 | 2
3 | 2 | 3
4 | 3 | 4
I want to select all persons with T1 account type and get the data column, for the others persons they should be in the result without any account information.
(I note that person 1 has two accounts : account_id_1 and account_id_2 but only one row must be displayed (priority for T1 type if exist otherwise null)
The result should be :
Table1
-----------------------------------------------------
PERSON_ID | ACCOUNT_ID | ACCOUNT_TYPE | ACCOUNT_DATA
-----------------------------------------------------
1 | 1 | T1 | USEFUL DATA
2 | NULL | NULL | NULL
3 | NULL | NULL | NULL
4 | NULL | NULL | NULL
You can do conditional aggregation :
SELECT p.id,
MAX(CASE WHEN a.type = 'T1' THEN a.id END) AS ACCOUNT_ID,
MAX(CASE WHEN a.type = 'T1' THEN 'T1' END) AS ACCOUNT_TYPE,
MAX(CASE WHEN a.type = 'T1' THEN a.data END) AS ACCOUNT_DATA
FROM person p LEFT JOIN
Person_account_link pl
ON p.id = pl.person_id LEFT JOIN
account a
ON pl.account_id = a.id
GROUP BY p.id;
You would need an outer join, starting with Person and then to the other two tables. I would also aggregate with group by and min to tackle the situation where a person would have two or more T1 accounts. In that case one of the data is taken (the min of them):
select p.id person_id,
min(a.id) account_id,
min(a.type) account_type,
min(a.data) account_data
from Person p
left join Person_account_link pa on p.id = pa.person_id
left join Account a on pa.account_id = a.id and a.type = 'T1'
group by p.id
In Postgres, I like to use the FILTER keyword. In addition, the Person table is not needed if you only want persons with an account. If you want all persons:
SELECT p.id,
MAX(a.id) FILTER (a.type = 'T1') as account_id,
MAX(a.type) FILTER (a.type = 'T1') as account_type,
MAX(a.data) FILTER (a.type = 'T1') as account_data
FROM Person p LEFT JOIN
Person_account_link pl
ON pl.person_id = p.id LEFT JOIN
account a
ON pl.account_id = a.id
GROUP BY p.id;
I have joined two queries with UNION keyword (Access 2016). It looks like that:
SELECT ITEM.IName, Sum(STOCK_IN.StockIn) AS SumOfIN
FROM ITEM INNER JOIN STOCK_IN ON ITEM.IName = STOCK_IN.IName
GROUP BY ITEM.IName
UNION SELECT ITEM.IName, Sum(STOCK_OUT.StockOut) AS SumOfOut
FROM ITEM INNER JOIN STOCK_OUT ON ITEM.IName = STOCK_OUT.IName
GROUP BY ITEM.IName
I get the following result:
IName | SumOfIN
----------------
Abis Nig | 3
Abrotanum | 1
Acid Acet | 2
Aconite Nap | 2
Aconite Nap | 3
Antim Crud | 3
Antim Tart | 1
But I want the following result:
IName | SumOfIN | SumOfOut
----------------
Abis Nig | 3 | 0
Abrotanum | 1 | 0
Acid Acet | 2 | 0
Aconite Nap | 2 | 3
Antim Crud | 0 | 3
Antim Tart | 0 | 1
Can anyone tell me what changes should I make here?
You need to add dummy values for the third column where they don't exist in the table you are UNIONing. In addition, you need an overall SELECT/GROUP BY since you can have values for both StockIn and StockOut:
SELECT IName, SUM(SumOfIN), Sum(SumOfOut)
FROM (SELECT ITEM.IName, Sum(STOCK_IN.StockIn) AS SumOfIN, 0 AS SumOfOut
FROM ITEM INNER JOIN STOCK_IN ON ITEM.IName = STOCK_IN.IName
GROUP BY ITEM.IName
UNION ALL
SELECT ITEM.IName, 0, Sum(STOCK_OUT.StockOut)
FROM ITEM INNER JOIN STOCK_OUT ON ITEM.IName = STOCK_OUT.IName
GROUP BY ITEM.IName) s
GROUP BY IName
Note that column names in the result table are all taken from the first table in the UNION, so we must name SumOfOut in that query.
You can do this query without UNION at all:
select i.iname, si.sumofin, so.sumofout
from (item as i left join
(select si.iname, sum(si.stockin) as sumofin
from stock_in as si
group by si.iname
) as si
on si.iname = i.iname
) left join
(select so.iname, sum(so.stockout) as sumofout
from stock_out as so
group by so.iname
) as so
on so.iname = i.iname;
This will include items that have no stock in or stock out. That might be a good thing, or a bad thing. If a bad thing, then add:
where si.sumofin > 0 or so.sumofout > 0
If you are going to use union all, then you can dispense with the join to items entirely:
SELECT IName, SUM(SumOfIN), Sum(SumOfOut)
FROM (SELECT si.IName, Sum(si.StockIn) AS SumOfIN, 0 AS SumOfOut
FROM STOCK_IN as si
GROUP BY si.INAME
UNION ALL
SELECT so.IName, 0, Sum(so.StockOut)
STOCK_OUT so
GROUP BY so.IName
) s
GROUP BY IName;
The JOIN would only be necessary if you had stock items that are not in the items table. That would be a sign of bad data modeling.
I have a column (PL.UNITS) that I need to Total at the bottom of the results of a query, is it possible to sum PL.UNITS that is already summed?
Please see query below.
SELECT ID.DUEDATE AS [DUE DATE], CD.RENEWALDATE, CD.RENEWALSTATUS, CD.CONTRACTNUMBER, L.LOCNAME, L.LOCADDRESS1, L.LOCADDRESS2, L.LOCADDRESS3, L.LOCADDRESS4, L.POSTCODE, SUM(PL.UNITS) AS UNITS from CLIENTDETAILS CD
INNER JOIN LOCATIONS L ON CD.CLIENTNUMBER = L.CLIENTNUMBER
INNER JOIN ITEMDETAILS ID ON L.LOCNUMBER = ID.LOCNUMBER
INNER JOIN PLANT PL ON ID.CODE = PL.CODE
WHERE L.OWNER = 210 and L.STATUSLIVE = 1 and ID.DUEDATE > '01/01/2017'
GROUP BY ID.DUEDATE, CD.RENEWALDATE, CD.RENEWALSTATUS, CD.CONTRACTNUMBER, L.LOCNAME, L.LOCADDRESS1, L.LOCADDRESS2, L.LOCADDRESS3, L.LOCADDRESS4, L.POSTCODE
It's probably best to do this sort of thing in front end development. Nevertheless, here is an example (quick and dirty, but shows the idea) for sql-server:
SELECT COALESCE(a.id, 'total') AS id
, SUM(a.thing) AS thing_summed
FROM (
SELECT '1' id
, 1 thing
UNION
SELECT '2'
, 2 thing
UNION
SELECT '1'
, 3 thing
) AS a
GROUP BY ROLLUP(a.id)
Result:
+-------+--------------+
| id | thing_summed |
+-------+--------------+
| 1 | 4 |
| 2 | 2 |
| total | 6 |
+-------+--------------+
Firstly, I apologize for my English. I want get auctions with count of bids and buys. It should look like this:
id | name | bids | buys
-----------------------
1 | Foo | 4 | 1
2 | Bar | 0 | 0
I have tables like following:
auction:
id | name
---------
1 | Foo
2 | Bar
auction_bid:
id | auction_id
---------------
1 | 1
2 | 1
3 | 1
4 | 1
auction_buy:
id | auction_id
---------------
1 | 1
I can get numbers in two queries:
SELECT *, COUNT(abid.id) AS `bids` FROM `auction` `t` LEFT JOIN auction_bid abid ON (t.id = abid.auction) GROUP BY t.id
SELECT *, COUNT(abuy.id) AS `buys` FROM `auction` `t` LEFT JOIN auction_buy abuy ON (t.id = abuy.auction) GROUP BY t.id
But when i combined it into one:
SELECT *, COUNT(abid.id) AS `bids`, COUNT(abuy.id) AS `buys` FROM `auction` `t` LEFT JOIN auction_bid abid ON (t.id = abid.auction) LEFT JOIN auction_buy abuy ON (t.id = abuy.auction) GROUP BY t.id
It was returning wrong amount (bids as much as buys).
How to fix this and get counts in one query?
You'll need to count DISTINCT abuy and abid IDs to eliminate the duplicates;
SELECT t.id, t.name,
COUNT(DISTINCT abid.id) `bids`,
COUNT(DISTINCT abuy.id) `buys`
FROM `auction` `t`
LEFT JOIN auction_bid abid ON t.id = abid.auction_id
LEFT JOIN auction_buy abuy ON t.id = abuy.auction_id
GROUP BY t.id, t.name;
An SQLfiddle to test with.
Try this:
SELECT t.*,COUNT(abid.id) as bids,buys
FROM auction t LEFT JOIN
auction_bid abid ON t.id = abid.auction_id LEFT JOIN
(SELECT t.id, Count(abuy.id) as buys
FROM auction t LEFT JOIN
auction_buy abuy ON t.id = abuy.auction_id
GROUP BY t.id) Temp ON t.id=Temp.id
GROUP BY t.id
Result:
ID NAME BIDS BUYS
1 Foo 2 0
2 Bar 1 1
Result in SQL Fiddle.
SELECT T1.* FROM
(
SELECT
MAX(no_of_orders) [no_of_orders],
ord.customer_id [customer_id],
ord_dtl.item_id [item_id]
FROM order_main ord
INNER JOIN order_detail ord_dtl
ON ord.order_id = ord_dtl.order_id
GROUP BY
ord.customer_id, ord_dtl.item_id
) T1
INNER JOIN
(
SELECT
MAX(no_of_orders) [no_of_orders],
ord.customer_id
FROM order_main ord
INNER JOIN order_detail ord_dtl
ON ord.order_id = ord_dtl.order_id
GROUP BY
ord.customer_id
) T2
ON
T1.customer_id = T2.customer_id
AND T1.no_of_orders = T2.no_of_orders
I calculated the most ordered item by customer from table order_main and order_detail.
What I did is like I calculated the no of orders grouping by customer id and item id and to reduce the result set to most ordered item by customer, I joined the resultset by same query removing the grouping by item id.
I don't feel this is a good query.
Any better alternative ?
SQL Fiddle
Most ordered item by customer
Query:
SQLFIDDLEExample
SELECT a.no_of_orders,
a.customer_id,
a.item_id
FROM (SELECT
MAX(no_of_orders) [no_of_orders],
ord.customer_id [customer_id],
ord_dtl.item_id [item_id],
ROW_NUMBER() OVER(PARTITION BY ord.customer_id ORDER BY MAX(no_of_orders) DESC) AS rnk
FROM order_main ord
INNER JOIN order_detail ord_dtl
ON ord.order_id = ord_dtl.order_id
GROUP BY
ord.customer_id, ord_dtl.item_id) a
WHERE a.rnk = 1
Result:
| NO_OF_ORDERS | CUSTOMER_ID | ITEM_ID |
---------------|-------------|---------|
| 20 | 2 | 6 |
| 50 | 7 | 6 |
| 1500 | 8 | 7 |
| 10 | 9 | 3 |