cat_id prod_name parent_cat_id
------ ---------- ------------
1 prod_1 2
2 prod_2 5
3 prod_3 1
4 prod_4 3
5 prod_5 7
6 prod_6 5
In a recursive function, make a table and by using these, if cat_id = 1 and parent_cat_id = 1 take that product name and if that product category id and parent category id is same then take that record also..
ANS IS LIKE :::
1 prod_1 2
2 prod_2 5
5 prod_5 7
WITH rows AS
(
SELECT cat_id, prod_name, parent_cat_id
FROM mytable
WHERE cat_id = 1
UNION ALL
SELECT m.cat_id, m.prod_name, m.parent_cat_id
FROM mytable m
JOIN rows r
ON r.parent_cat_id = m.cat_id
)
SELECT *
FROM rows
Related
I seek to find the maximum timestamp (ob.create_ts) for each group of marketid's (ob.marketid), joining tables obe (ob.orderbookid = obe.orderbookid) and market (ob.marketid = m.marketid). Although there are a number of solutions posted like this for a single table, when I join multiple tables, I get redundant results. Sample table and desired results below:
table: ob
orderbookid
marketid
create_ts
1
1
1664635255298
2
1
1664635255299
3
1
1664635255300
4
2
1664635255301
5
2
1664635255302
6
2
1664635255303
table: obe
orderbookentryid
orderbookid
entryname
1
1
'entry-1'
2
1
'entry-2'
3
1
'entry-3'
4
2
'entry-4'
5
2
'entry-5'
6
3
'entry-6'
7
3
'entry-7'
8
4
'entry-8'
9
5
'entry-9'
10
6
'entry-10'
table: m
marketid
marketname
1
'market-1'
2
'market-2'
desired results
ob.orderbookid
ob.marketid
obe.orderbookentryid
obe.entryname
m.marketname
3
1
6
'entry-6'
'market-1'
3
1
7
'entry-7'
'market-1'
6
2
10
'entry-10'
'market-2'
Use ROW_NUMBER() to get a properly filtered ob table. Then JOIN the other tables onto that!
WITH
ob_filtered AS (
SELECT
orderbookid,
marketid
FROM
(
SELECT
*,
ROW_NUMBER() OVER (
PARTITION BY
marketid
ORDER BY
create_ts DESC
) AS create_ts_rownumber
FROM
ob
) ob_with_rownumber
WHERE
create_ts_rownumber = 1
)
SELECT
ob_filtered.orderbookid,
ob_filtered.marketid,
obe.orderbookentryid,
obe.entryname,
m.marketname
FROM
ob_filtered
JOIN m
ON m.marketid = ob_filtered.marketid
JOIN obe
ON ob_filtered.orderbookid = obe.orderbookid
;
Hi Experts I have a table like this
T1
Order_no
Qty
1
3
2
5
3
1
4
3
I need to generate a column 'serial no' having values based on 'qty'
Output needed
OrderNo
Qty
SerailNo
1
3
1
1
3
2
1
3
3
2
5
1
2
5
2
2
5
3
2
5
4
2
5
5
3
1
1
4
3
1
4
3
2
4
3
3
Any suggestions?
Thanks in advance!!
You don't mention the specific database so I'll assume you are using PostgreSQL, aren't you?
You can use a Recursive CTE to expand the rows. For example:
with recursive
n as (
select order_no, qty, 1 as serial_no from t1
union all
select order_no, qty, serial_no + 1
from n
where serial_no < qty
)
select * from n order by order_no, serial_no
Result:
order_no qty serial_no
--------- ---- ---------
1 3 1
1 3 2
1 3 3
2 5 1
2 5 2
2 5 3
2 5 4
2 5 5
3 1 1
4 3 1
4 3 2
4 3 3
See running example at DB Fiddle.
EDIT FOR ORACLE
If you are using Oracle the query changes a bit to:
with
n (order_no, qty, serial_no) as (
select order_no, qty, 1 from t1
union all
select order_no, qty, serial_no + 1
from n
where serial_no < qty
)
select * from n order by order_no, serial_no
Result:
ORDER_NO QTY SERIAL_NO
--------- ---- ---------
1 3 1
1 3 2
1 3 3
2 5 1
2 5 2
2 5 3
2 5 4
2 5 5
3 1 1
4 3 1
4 3 2
4 3 3
See running example at db<>fiddle.
You should first provide the database you're using. Whether it's oracle, Sql Server, PostGreSQL will determine which procedural language to use. It's very likely that you'll need to do this in two steps:
1st: Duplicate the number of rows based on the column Qty using a decreasing loop
2nd: You'll need to create a sequential partionned column based on the Qty column
I have five tables in a SQL Server database. These tables are listed below and I want to select Data from these tables according to date. I tried searching but could not find solution for multiple tables. Please help
TABLE1
id PId CId
----------- ---------- ------------
1 P001 1
2 P002 2
3 P003 4
4 P004 5
TABLE2
id CId CNo ConId
----------- ---------- ------------ ----------
1 1 1 C123
2 1 2 PA444
3 1 3 PA456
4 2 1 AUX2398
5 2 2 AUX2345
6 4 1 PA123
7 5 1 C234
TABLE3
id CId CNo Label Date
----------- ---------- ------------ ---------- ----------
1 1 1 A 1/1/2000
2 1 2 A 15/10/2020
3 1 3 A 20/10/2020
4 2 1 A 15/10/2020
5 2 2 A 20/10/2020
6 4 1 A 20/10/2020
7 5 1 A 27/10/2020
TABLE4
id CId CNo Label Date
----------- ---------- ------------ ---------- ----------
1 1 1 B 20/10/2020
2 1 2 B 27/10/2020
3 1 3 B 22/10/2020
4 2 1 B 22/10/2020
5 2 2 B 26/10/2020
6 4 1 B 22/10/2020
7 5 1 B 30/10/2020
TABLE5
id CId CNo Label Date
----------- ---------- ------------ ---------- ----------
1 1 1 C 26/10/2020
2 1 2 C 1/1/2000
3 1 3 C 23/10/2020
4 2 1 C 25/10/2020
5 2 2 C 30/10/2020
6 4 1 C 25/10/2020
7 5 1 C 1/1/2000
I want to select Label and Date from Table 3, 4 and 5 where Date is >1/1/2000 and < than and close to 24/10/2020 and grouped according to PId, CId, ConId and CNo.
Desired result:
PId CId ConId CNo Label Date
-------- ---------- ---------- -------- --------- ----------
P001 1 C123 1 B 20/10/2020
P001 1 PA444 2 A 15/10/2020
P001 1 PA456 3 C 23/10/2020
P002 2 AUX2398 1 B 22/10/2020
P002 2 AUX2345 2 A 20/10/2020
P003 4 PA123 1 B 22/10/2020
P004 5 C234 1 - -
Any help will be appreciated. Thank you.
You can achieve this with a couple of CTE's; the first forms a UNION of TABLE3, TABLE4 and TABLE5; the second generates a row number based on the Date descending for each partition of PId, CId, ConId and CNo. We then select all rows from the second CTE where the row number is 1:
WITH CTE AS (
SELECT * FROM Table3 WHERE date > '2000-01-01'
UNION ALL
SELECT * FROM Table4 WHERE date > '2000-01-01'
UNION ALL
SELECT * FROM Table5 WHERE date > '2000-01-01'
),
CTE2 AS (
SELECT t1.PId, t1.CId, t2.ConId, t2.CNo, CTE.Label, CTE.Date,
ROW_NUMBER() OVER (PARTITION BY t1.PId, t1.CId, t2.ConId, t2.CNo ORDER BY CTE.Date DESC) AS rn
FROM TABLE1 t1
JOIN TABLE2 t2 ON t2.CId = t1.CId
LEFT JOIN CTE ON CTE.Cid = t2.CId AND CTE.CNo = t2.CNo AND CTE.Date < '2020-10-24'
)
SELECT PId, CId, ConId, CNo, Label, Date
FROM CTE2
WHERE rn = 1
ORDER BY PId, CId, CNo
Output:
PId CId ConId CNo Label Date
P001 1 C123 1 B 2020-10-20
P001 1 PA444 2 A 2020-10-15
P001 1 PA456 3 C 2020-10-23
P002 2 AUX2398 1 B 2020-10-22
P002 2 AUX2345 2 A 2020-10-20
P003 4 PA123 1 B 2020-10-22
P004 5 C234 1 - -
Demo on dbfiddle
I have 3 tables which maintains stock entries for each products/items. These three tables like below :
Table : ItemStock (to maintain remaining stock of each item)
Id ItemId OpgQty BranchID CurrentStock
1 7 0 1 8
2 7 0 2 3
3 6 0 1 2
4 6 0 2 0
Table : ItemPurchase (StockIn)
Id ItemId Qty BranchID
1 7 5 1
2 7 4 2
3 7 6 1
4 7 2 2
5 6 4 1
6 6 2 2
7 6 2 1
Table : ItemSale (StockOut)
Id ItemId Qty BranchID
1 7 2 1
2 7 3 2
3 7 1 1
4 6 4 1
5 6 2 2
Desired Output (based on sql queries)
I want to have result like below : (part of report)
Id ItemId OpgQty BranchId StockIn StockOut CurrentStock
1 7 0 1 11 3 8
2 7 0 2 6 3 3
3 6 0 1 6 4 2
4 6 0 2 2 2 0
I was trying to get the desired result but was not able to do so. Please help!!!
try this;
select
m.Id,
m.ItemId,
m.OpgQty,
m.BranchID,
si.StockIn,
m.CurrentStock-si.StockIn StockOut,
m.CurrentStock
from
ItemStock m
inner join
(
select
ItemId,BranchId,sum(Qty) as StockIn
from
ItemPurchase
group by ItemId,BranchId
) si on si.ItemId=m.ItemId and si.BranchId=m.BranchId
A very simple query that gives the desired result is :
select *,
(select sum(Qty)
from ItemPurchase
where ItemPurchase.ItemId = ItemStock.ItemId and
ItemPurchase.BranchId = ItemStock.BranchId) as StockIn,
(select sum(Qty)
from ItemSale
where ItemSale.ItemId = ItemStock.ItemId and
ItemSale.BranchId = ItemStock.BranchId) as StockOut
from ItemStock
Two subqueries with group by and aggregation will get what you want.
select
s.*,
coalesce([ip].StockIn, 0) as StockIn, -- In case of no records in ItemPurchase or ItemSale, coalesce is neccessary.
coalesce([is].StockOut, 0) as StockOut
from ItemStock s
left join (
select sum(Qty) as StockIn, ItemId, BranchId
from ItemPurchase
group by ItemId, BranchId
) [ip] on s.ItemId = [ip].ItemId and s.BranchId = [ip].BranchId
left join (
select sum(Qty) as StockOut, ItemId, BranchId
from ItemSale
group by ItemId, BranchId
) [is] on s.ItemId = [is].ItemId and s.BranchId = [is].BranchId
See demo in sqlfiddle.
Please
Try This ... I hope you consider this too.
I have this table structure
Product
product_id (PK)
name
Order_Detail
order_detail_id
product_id
quantity
Example data
Product :
1 product1
2 product2
3 product3
4 product4
5 product5
Order_Detail :
1 3 2
2 3 1
3 3 1
4 2 1
5 2 1
6 1 1
7 4 1
8 5 1
9 1 1
10 2 1
11 3 1
Please help me to get top 3 ordered product based on how many times the product ordered ?
I think this migth work:
SELECT p.`product_id`, p.`name`, SUM(o.`quantity`) AS quantity
FROM `Order_Detail` AS o
INNER JOIN `Product` AS p
ON o.`product_id` = p.`product_id`
GROUP BY o.`product_id`
ORDER BY SUM(o.`quantity`) DESC, p.`name` ASC
LIMIT 3