I have a table for managing inventory movements and a table to manage stock.
I want to add the count of movements that the item exists in between given dates to the stock table.
My update statement looks like this:
UPDATE inventory
SET quantity = quantity + 1
WHERE ItemID IN
( SELECT ItemID FROM movements
WHERE group = '3' AND store = '500'
AND DateMove BETWEEN 20201219 AND 20201223 )
AND StoreNumber = '500'
How can I change this query to add the amount of times that the ItemID appears in movements to the quantity in the inventory table?
I've been thinking that I can add a count(itemID) and group by and add an alias in the subquery and use the alias after the + but it doesn't seem to work.
Thanks for any help
Using an UPDATE, you can use a correlated subquery:
UPDATE inventory i
SET quantity = (i.quantity +
(SELECT COUNT(*)
FROM movements m
WHERE m.ItemId = i.ItemId AND
m.group = 3 AND m.store = i.store AND
m.DateMove BETWEEN 20201219 AND 20201223
)
)
WHERE i.store = 500 AND
EXISTS (SELECT 1
FROM movements m
WHERE m.ItemId = i.ItemId AND
m.group = 3 AND m.store = 500 AND
m.DateMove BETWEEN 20201219 AND 20201223
);
Note that I removed the single quotes around 500 and 3. These values look like numbers. Only use the single quotes if they are strings.
Oracle also allows you to update using a subquery under some circumstances, so this should work as well:
update (select i.*,
(SELECT COUNT(*)
FROM movements m
WHERE m.ItemId = i.ItemId AND
m.group = 3 AND m.store = i.store AND
m.DateMove BETWEEN 20201219 AND 20201223
) as inc_quantity
from inventory i
where store = 500
)
set quantity = quantity + inc_quantity
where quantity > 0;
You appear to want a MERGE statement and to COUNT the movements:
MERGE INTO inventory dst
USING (
SELECT ItemID,
store,
COUNT(*) AS num_movements
FROM movements
WHERE group = 3
AND store = 500
AND DateMove BETWEEN DATE '2020-12-19' AND DATE '2020-12-23'
GROUP BY
ItemId,
store
) src
ON ( src.ItemId = dst.ItemId AND dst.StoreNumber = src.store )
WHEN MATCHED THEN
UPDATE
SET quantity = dst.quantity + src.num_movements;
(Also, if values are numbers then use number literals and not string literals and, for dates, use date literals and not numbers.)
You need a correlated subquery. For brevity, I've omitted all other where conditions.
UPDATE inventory AS inv
SET quantity = quantity + (SELECT COUNT(*) FROM movements AS mov WHERE mov.itemID = inv.itemID);
I think it's better to create a view such as
CREATE OR REPLACE VIEW v_inventory AS
SELECT i.*,
SUM(CASE
WHEN i.StoreNumber = 500 AND m."group" = 3 AND m.store = 500 AND
m.DateMove BETWEEN date'2020-12-19' AND date'2020-12-23'
THEN
1
ELSE
0
END) OVER (PARTITION BY m.ItemID) AS mov_quantity
FROM inventory i
LEFT JOIN movements m
ON m.ItemID = i.ItemID
rather than applying a DML for the sake of good db design, since the desired count already can be calculated, and may yield for later confusions
Related
I'm in need of a way to access a column from the inner table from a subquery, which I have included below with database/table names changed. The inner query returns all of the Item_Ids of Items that have a specific term config and belong to a specific customer. Obviously, the SET currently doesn't work as I can't access any of the rows of let from the main query.
I'm fairly new to SQL and am struggling to wrap my head around how I might convert this to using joins instead of a subquery. The problem is that I need to be able to set ALL of the Grand Totals for any of the Item_Ids that come from the subquery.
UPDATE [Database].[dbo].[Items]
SET GrandTotal = GrandTotal / let.CurrentValue
WHERE Id IN (
SELECT let.Item_Id
FROM [Database].[dbo].[ItemTerms] let
WHERE TermConfig_Id = 'TERM_CONFIG_ID'
AND Item_Id IN (
SELECT le2.Id
FROM [Database].[dbo].[LaneExhibits] le2
WHERE Customer_Id = 'CUST_ID'
)
)
EDIT: Add Sample Row from Subquery
Columns are Id, DataValueStatus, CurrentValue, PreviousValue, Item_Id, TermConfig_Id. The subquery only returns the Item_Id but that is the rest of the data.
424C8BF4-0FCB-E711-80C9-005056BA0972 1 460 NULL 2D4C8BF4-0FCB-E711-80C9-005056BA0972 B8FCE730-27BE-E711-80C9-005056BA0972
The inner join version:
UPDATE i
SET GrandTotal = GrandTotal / let.CurrentValue
FROM [Database].[dbo].[Items] i
INNER JOIN [Database].[dbo].[ItemTerms] let ON i.Id=let.Item_Id
WHERE TermConfig_Id = 'TERM_CONFIG_ID'
AND Item_Id IN (
SELECT le2.Id
FROM [Database].[dbo].[LaneExhibits] le2
WHERE Customer_Id = 'CUST_ID'
)
Merge is your friend https://learn.microsoft.com/en-us/sql/t-sql/statements/merge-transact-sql?view=sql-server-2017
simplified sample from your example
MERGE [Database].[dbo].[Items] AS target
USING (SELECT let.Item_Id, let.CurrentValue FROM [Database].[dbo].[ItemTerms] let
/* other joins and filters here */
) AS source (Item_Id, CurrentValue)
ON (target.Item_Id = source.id /* or what you want */)
WHEN MATCHED THEN
UPDATE SET GrandTotal = source.GrandTotal / source.CurrentValue
I have two tables
Price
RET_ID DBS_ID RRP
Database
DBS_ID PRO_ID
I would like to use UPDATE such that I can increase RRP in the Price table by 20% if the PRO_ID in the Database table is = 1
UPDATE
( SELECT RRP
FROM PRICE
JOIN database
ON database.dbs_id = price.dbs_id
)
SET rrp = 100
WHERE (database.pro_ID = 1);
I've been trying all manner of INNER JOIN ... ON to no avail.
Thanks.
You can put the filtering condition in the where clause. Here is a method using exists:
update price p
set rpr = rpr * 1.2
where exists (select 1
from database d
where d.dbs_id = p.dbs_id and d.pro_id = 1
);
Here is another way using in:
update price p
set rpr = rpr * 1.2
where p.dbs_id in (select d.dbs_id
from database d
where d.pro_id = 1
);
You can use this query
MERGE INTO PRICE P
USING DATABASE D ON
(P.DBS_ID=D.DBS_ID) AND
D.PRO_ID=1
WHEN MATCHED
THEN
UPDATE SET
P.RRP=P.RRP*1.2;
When you are updating table from another table, always use MERGE function which is an amazing concept in SQL
UPDATE Price P SET RRP = RRP*1.2
WHERE EXISTS
(select 1 from Database
where DBS_ID = P.DBS_ID AND PRO_ID = 1);
I'm trying to create a query so that I can have a column show Y/N if a particular item was ordered for a group of orders. The item I'm looking for would be OLI.id = '538'.
So my results would be:
Order#, Customer#, FreightPaid
12345, 00112233, Y
12346, 00112233, N
I cannot figure out if I need to use a subquery or the where exists function ?
Here's my current query:
SELECT distinct
OrderID,
Accountuid as Customerno
FROM [SMILEWEB_live].[dbo].[OrderLog] OL
inner join Orderlog_item OLI on OLI.orderlogkey = OL.[key]
inner join Account A on A.uid = OL.Accountuid
where A.GroupId = 'X9955'
and OL.CreateDate >= GETDATE() - 60
I would suggest an exists clause instead of a join:
select ol.OrderID, ol.Accountuid as Customerno,
(case when exists (select 1
from Orderlog_item OLI join
Account A
on A.uid = OL.Accountuid
where OLI.orderlogkey = OL.[key] and A.GroupId = 'X9955'
)
then 1 else 0
end) as flag
from [SMILEWEB_live].[dbo].[OrderLog] OL
where OL.CreateDate >= GETDATE() - 60;
This prevents a couple of problems. First, duplicate rows which are caused when there are multiple matching rows (and select distinct add unnecessary overhead). Second, missing rows, which happen when you use inner join instead of an outer join.
I have this table:
Table_NAME_A:
quotid itration QStatus
--------------------------------
5329 1 Assigned
5329 2 Inreview
5329 3 sold
4329 1 sold
4329 2 sold
3214 1 assigned
3214 2 Inreview
Result output should look like this:
quotid itration QStatus
------------------------------
5329 3 sold
4329 2 sold
3214 2 Inreview
T-SQL query, so basically I want the data within "sold" status if not there then "inreview" if not there then "assigned" and also at the same time if "sold" or "inreview" or "assigned" has multiple iteration then i want the highest "iteration".
Please help me, thanks in advance :)
This is a prioritization query. One way to do this is with successive comparisons in a union all:
select a.*
from table_a a
where quote_status = 'sold'
union all
select a.*
from table_a a
where quote_status = 'Inreview' and
not exists (select 1 from table_a a2 where a2.quoteid = a.quoteid and a2.quotestatus = 'sold')
union all
select a.*
from table_a a
where quote_status = 'assigned' and
not exists (select 1
from table_a a2
where a2.quoteid = a.quoteid and a2.quotestatus in ('sold', 'Inreview')
);
For performance on a larger set of data, you would want an index on table_a(quoteid, quotestatus).
You want neither cursors nor if/then for this. Instead, you'll use a series of self-joins to get these results. I'll also use a CTE to simplify getting the max iteration at each step:
with StatusIterations As
(
SELECT quotID, MAX(itration) Iteration, QStatus
FROM table_NAME_A
GROUP BY quotID, QStats
)
select q.quotID, coalesce(sold.Iteration,rev.Iteration,asngd.Iteration) Iteration,
coalesce(sold.QStatus, rev.QStatus, asngd.QStatus) QStatus
from
--initial pass for list of quotes, to ensure every quote is included in the results
(select distinct quotID from table_NAME_A) q
--one additional pass for each possible status
left join StatusIterations sold on sold.quotID = q.quotID and sold.QStatus = 'sold'
left join StatusIterations rev on rev.quotID = q.quotID and rev.QStatus = 'Inreview'
left join StatusIterations asngd on asngd.quotID = q.quotID and asngd.QStatus = 'assigned'
If you have a table that equates a status with a numeric value, you can further improve on this:
Table: Status
QStatus Sequence
'Sold' 3
'Inreview' 2
'Assigned' 1
And the code becomes:
select t.quotID, MAX(t.itration) itration, t.QStatus
from
(
select t.quotID, MAX(s.Sequence) As Sequence
from table_NAME_A t
inner join Status s on s.QStatus = t.QStatus
group by t.quotID
) seq
inner join Status s on s.Sequence = seq.Sequence
inner join table_NAME_A t on t.quotID = seq.quotID and t.QStatus = s.QStatus
group by t.quoteID, t.QStatus
The above may look like complicated at first, but it can be faster and it will scale easily beyond three statuses without changing the code.
I've created a junction table like this one:
http://imageshack.us/scaled/landing/822/kantotype.png
I was trying to figure out a query that could able to select some rows - based on the PokémonID - and then updating only the first or second row after the major "filtering".
For example:
Let's suppose that I would like to change the value of the TypeID from the second row containing PokémonID = 2. I cannot simply use UPDATE KantoType SET TypeID = x WHERE PokémonID = 2, because it will change both rows!
I've already tried to use subqueries containing IN,EXISTS and LIMIT, but with no success.
Its unclear what are your trying to do. However, you can UPDATE with JOIN like so:
UPDATE
SET k1.TypeID = 'somethng' -- or some value from k2
FROM KantoType k1
INNER JOIN
(
Some filtering and selecting
) k2 ON k1.PokémonID = k2.PokémonID
WHERE k1.PokémonID = 2;
Or: if you want to UPDATE only the two rows that have PokémonID = 2 you can do this:
WITH CTE
AS
(
SELECT *,
ROW_NUMBER() OVER(ORDER BY TypeID) rownum
FROM KantoType
WHERE PokemonID = 2
)
UPDATE c
SET c.TypeID = 5
FROM CTE c
WHERE c.rownum = 1;
SQL Fiddle Demo
I can suggest something like this if you just need to update a single line in your table:
UPDATE kantotype
SET
type = 2
WHERE pokemon = 2
AND NOT EXISTS (SELECT * FROM kantotype k2
WHERE kantotype.type > k2.type
AND kantotype.pokemon = k2.pokemon)
It would be easier to get the first or last item of the table if you had unique identifier field in your table.
Not sure even if you are trying to update the row with PokemenID =2 by doing a major filtering on TypeID... So just out of assumptiong (big one), you can give a try on Case
UPDATE yourtable a
LEFT JOIN youtable b on a.pokeid = b.pokeid
SET a.typeid = (CASE
WHEN a.typeid < b.typeid THEN yourupdatevalue
WHEN a.typeid > b.typeid THEN someothervalue
ELSE a.typeid END);
If you know the pokemon ID and the type id then just add both to the where clause of your query.
UPDATE KantoType
SET TypeID = x
WHERE PokémonID = 2
AND TypeID=1
If you don't know the type ID, then you need to provide more information about what you're trying to accomplish. It's not clear why you don't have this information.
Perhaps think about what is the unique identifier in your data set.