I have 3 tables that I am trying to report from that are all related but have a different number of records. I want a summary line for each order that shows job description, total price and total cost.
My tables are a follows:
Prices
| Order | Line # | Description | Price |
+-------+--------+--------------+-------+
| 1 | 1 | Line 1 job#1 | 100 |
| 1 | 2 | Line 2 job#1 | 30 |
| 2 | 1 | Line 1 job#2 | 100 |
| 3 | 1 | Line 1 job#3 | 75 |
Cost lines
| Order | Line # | Cost record | Cost |
+-------+--------+-------------+------+
| 1 | 1 | 1 | 80 |
| 1 | 2 | 2 | 80 |
| 1 | 2 | 3 | 50 |
| 2 | 1 | 1 | 75 |
| 3 | 1 | 1 | 50 |
| 3 | 1 | 2 | 50 |
Order Header
| Order | Description | Sales Person |
+-------+-------------+--------------+
| 1 | Order # 1 | 1 |
| 1 | Order #2 | 2 |
| 1 | Order #3 | 1 |
I keep getting way to many associated rows. I've been trying subqueries with sums but I just can't get it to work.
Expected result:
| Order | Description | Price | Cost | Sales Person |
+-------+-------------+-------+------+--------------+
| 1 | Order #1 | 130 | 210 | 1 |
| 2 | Order #2 | 100 | 75 | 2 |
| 3 | Order #3 | 75 | 100 | 1 |
I assume there is a mistake in your sample data and the first column should read 1, 2 and 3 rather than three times 1. At least your desired result makes that seem very plausible.
Join the costs and prices to the orders and then GROUP BY the orders and calculate the sum for the costs and prices.
SELECT o.[Order],
o.[Description],
sum(p.[Price]) [Price],
sum(c.[Cost]) [Cost],
o.[Sales Person]
FROM [Order Header] o
LEFT JOIN [Cost lines] c
ON c.[Order] = o.[Order]
LEFT JOIN [Prices] p
ON p.[Order] = o.[Order]
GROUP BY o.[Order],
o.[Description],
o.[Sales Person];
Related
I have 3 tables. The link between the first and the second table is REQ_ID and the link between the second and the third table is ENC_ID. There is no direct link between the first and the third table.
INS_RCPT
+----+--------+------+----------+
| ID | REQ_ID | CURR | RCPT_AMT |
+----+--------+------+----------+
| 1 | 1 | USD | 100 |
| 2 | 2 | USD | 200 |
| 3 | 3 | USD | 300 |
+----+--------+------+----------+
ENC_LOG
+----+--------+--------+-------------+
| ID | REQ_ID | ENC_ID | ENC_LOG_AMT |
+----+--------+--------+-------------+
| 1 | 1 | 1 | 20 |
| 2 | 1 | 2 | 50 |
| 3 | 1 | 3 | 30 |
| 4 | 2 | 4 | 20 |
+----+--------+--------+-------------+
ENC_RCPT
+----+--------+--------------+
| ID | ENC_ID | ENC_RCPT_AMT |
+----+--------+--------------+
| 1 | 1 | 10 |
| 2 | 1 | 10 |
| 3 | 2 | 15 |
| 4 | 2 | 25 |
| 5 | 2 | 10 |
| 6 | 3 | 12 |
| 7 | 3 | 18 |
| 8 | 4 | 10 |
+----+--------+--------------+
I would like to have output as follows:
+----+--------+------+----------+-------------+--------------+
| ID | REQ_ID | CURR | RCPT_AMT | ENC_LOG_AMT | ENC_RCPT_AMT |
+----+--------+------+----------+-------------+--------------+
| 1 | 1 | USD | 100 | 100 | 100 |
| 2 | 2 | USD | 200 | 20 | 10 |
| 3 | 3 | USD | 300 | 0 | 0 |
+----+--------+------+----------+-------------+--------------+
I am using SQL Server to write this query. Any help is appreciated.
One approach would be to join the first table to two subqueries which compute the sums separately:
SELECT
ir.ID,
ir.REQ_ID,
ir.CURR,
ir.RCPT_AMT,
el.ENC_LOG_AMT,
er.ENC_RCPT_AMT
FROM INS_RCPT ir
LEFT JOIN
(
SELECT REQ_ID, SUM(ENC_LOG_AMT) AS ENC_LOG_AMT
FROM ENC_LOG
GROUP BY REQ_ID
) el
ON ir.REQ_ID = el.REQ_ID
LEFT JOIN
(
SELECT t1.REQ_ID, SUM(t2.ENC_RCPT_AMT) AS ENC_RCPT_AMT
FROM ENC_LOG t1
INNER JOIN ENC_RCPT t2 ON t1.ENC_ID = t2.ENC_ID
GROUP BY t1.REQ_ID
) er
ON ir.REQ_ID = er.REQ_ID
Demo
Note that your question includes a curve ball. The second subquery needs to return aggregates of the receipt table by REQ_ID, even though this field does not appear in that table. As a result, we actually need to join ENC_LOG to ENC_RCPT in that subquery, and then aggregate by REQ_ID.
You can try the below query. Also change the join from left to inner as per your requirement.
select a.id,a.req_id,a.curr,sum(a.rcpt_amt) rcpt_amt,sum(a.enc_log_amt) enc_log_amt,sum(c.enc_rcpt_amt) enc_rcpt_amt
from
(
select a.id id ,a.req_id req_id ,a.curr curr,sum(rcpt_amt) as rcpt_amt,sum(enc_log_amt) as enc_log_amt
from ins_rcpt a
left join enc_log b
on a.req_id=b.req_id
group by id,req_id,curr
) a
left join enc_rcpt c
on a.enc_id = c.enc_id
group by id,req_id,curr;
I am trying to join three separate tables based on certain criteria. Here are table examples:
TABLE A
+----+------------+----------+---------+
| id | entry num | line num | inv line|
+----+------------+----------+---------+
| 1 | 1 | 1 | 1 |
| 2 | 1 | 1 | 2 |
| 3 | 2 | 1 | 1 |
| 4 | 2 | 2 | 1 |
| 5 | 3 | 1 | 1 |
| 6 | 3 | 1 | 2 |
| 7 | 3 | 1 | 3 |
+----+------------+--------+-----------+
TABLE B
+----+------------+----------+---------+
| id | entry num | line num | code |
+----+------------+----------+---------+
| 1 | 1 | 1 | 100 |
| 2 | 2 | 1 | 370 |
| 3 | 2 | 2 | 120 |
| 4 | 3 | 1 | 300 |
+----+------------+--------+-----------+
TABLE C
+----+------------+--------+-----------+
| id | rate | amt | code |
+----+------------+--------+-----------+
| 1 | 25% | $50 | 100 |
| 2 | 50% | $20 | 370 |
| 3 | 50% | $25 | 120 |
| 4 | 30% | $150 | 300 |
+----+------------+----------+---------+
I need the final table to look like this, but I am at a loss on how to write the syntax:
FINAL TABLE
+----+------------+----------+---------+---------+---------+---------+
| id | entry num | line num | inv line| code | rate | amt |
+----+------------+----------+---------+---------+---------+---------+
| 1 | 1 | 1 | 1 | 100 | 25% | $50 |
| 2 | 1 | 1 | 2 | 100 | 25% | $50 |
| 3 | 2 | 1 | 1 | 370 | 50% | $20 |
| 4 | 2 | 2 | 1 | 120 | 50% | $25 |
| 5 | 3 | 1 | 1 | 300 | 30% | $150 |
| 6 | 3 | 1 | 2 | 300 | 30% | $150 |
| 7 | 3 | 1 | 3 | 300 | 30% | $150 |
+----+------------+----------+---------+---------+---------+---------+
Ultimately, I need table A and B joined where both entry num and line num match, but then I need to show each individual row for the inv line number.
For example, entry num 3 / line num 1 will has 3 invoice numbers. All entry num 3/ line num 1 will have the code 300, 30% rate, and $150 amount, but I need to visibly see that there are 3 invoice lines.
I've tried to join tables, group them, and get total counts, but to no avail. Thanks for your help!
I think that you need to create joins between TableA and Table B on EntryNum and LineNum, and then between TableB and TableC on Code. Your SQL should look like:
SELECT A.ID, A.EntryNum, A.LineNum, A.InvLine, B.Code, C.Rate, C.Amt
FROM TableC AS C INNER JOIN (TableB AS B INNER JOIN TableA AS A ON (B.LineNum = A.LineNum) AND (B.EntryNum = A.EntryNum))
ON C.Code = B.Code;
Which produces the result that you want:
Regards,
I have this Query for Invertory Balance and work well:
Select A.BATCH_ID ,
A.QTY_MOV - IsNull(B.QTY_USED,0) As BALANCE
From P_BATCH_PRODUC A
Left OUTER Join (Select MATERIAL_ID,
BATCH_MATERIAL_ID),
SUM(QTY_INS) QTY_USED
From CONSUMPTION
Group By MATERIAL_ID, BATCH_MATERIAL_ID) As B
On B.MATERIAL_ID= A.PRODUCT_ID
And A.BATCH_ID = B.BATCH_MATERIAL_ID"
Where A.QTY_MOV - IsNull(B.QTY_USED,0) > 0
AND A.PRODUCT_ID= 1
and A.BATCH_ID = 1
But now, it's possible to have more than one A.QTY_MOV for each A.BATCH_ID , so i need to Change A.QTY_MOV to Sum(A.QTY_MOV ). What do I need to change for that?
Sample:
Table A
+------------+------------+---------+
| Product_ID | Batch_ID | Qty_Mov |
+------------+------------+---------+
| 1 | 1 | 100 |
| 1 | 1 | 150 |
| 2 | 1 | 80 |
| 1 | 3 | 100 |
| 1 | 4 | 100 |
+------------+------------+---------+
Table B
+------------------+------------+------------+----------+--+
| BATCH_MATERIAL_ID| Product_ID | Batch_ID | Qty_USED | |
+------------------+------------+------------+----------+--+
| 1 | 1 | 1 | 80 | |
| 2 | 1 | 1 | 10 | |
| 3 | 1 | 2 | 150 | |
| 4 | 1 | 3 | 80 | |
+------------------+------------+------------+----------+--+
This is what I want
Batch_ID BALANCE
---------- ---------------
1 160
Based strictly on the question, it sounds like you want a window function:
Select A.BATCH_ID ,
SUM(A.QTY_MOV) OVER (PARTITION BY A.BATCH_ID) - IsNull(B.QTY_USED,0) As BALANCE
I don't know if this does anything useful. If it does not, you should ask a new question with sample data and an explanation of logic.
I have the following four tables:
1) mls_user
2) mls_category
3) bonus_point
4) mls_entry
In mls_user table values are like below:
*-------------------------*
| id | store_id | name |
*-------------------------*
| 1 | 101 | sandeep |
| 2 | 101 | gagan |
| 3 | 102 | santosh |
| 4 | 103 | manu |
| 5 | 101 | jagveer |
*-------------------------*
In mls_category table values are like below:
*---------------------------------*
| cat_no | store_id | cat_value |
*---------------------------------*
| 20 | 101 | 1 |
| 21 | 101 | 4 |
| 30 | 102 | 1 |
| 31 | 102 | 2 |
| 40 | 103 | 1 |
| 41 | 103 | 1 |
*---------------------------------*
In bonus_point table values are like below:
*-----------------------------------*
| user_id | store_id | bonus_point |
| 1 | 101 | 10 |
| 4 | 101 | 5 |
*-----------------------------------*
In mls_entry table values are like below:
*-------------------------------------------------------*
| user_id | store_id | category | distance | status |
*-------------------------------------------------------*
| 1 | 101 | 20 | 10 | Approved |
| 1 | 101 | 21 | 40 | Approved |
| 1 | 101 | 20 | 10 | Approved |
| 2 | 101 | 20 | 5 | Approved |
| 3 | 102 | 30 | 10 | Approved |
| 3 | 102 | 31 | 80 | Approved |
| 4 | 101 | 20 | 15 | Approved |
*-------------------------------------------------------*
And I want below output:
*--------------------------------------------------*
| user name | Points | bonus Point | Total Point |
*--------------------------------------------------*
| Sandeep | 30 | 10 | 40 |
| Santosh | 30 | 0 | 30 |
| Manu | 15 | 5 | 20 |
| Gagan | 5 | 0 | 5 |
| Jagveer | 0 | 0 | 0 |
*--------------------------------------------------*
I tell the calculation of how the points will come for user Sandeep.
Points = ((10+10)/1 + 40/4)=30
Here 1 and 4 is cat value which comes from mls_category.
I am using below code for a particular user but when i
SELECT sum(t1.totald/c.cat_value) as total_distance
FROM mls_category c
join (
select sum(distance) totald, user_id, category
FROM mls_entry
WHERE user_id=1 AND store_id='101' AND status='approved'
group by user_id, category) t1 on c.cat_no = t1.category
I have created tables in online for checking
DEMO
Computing the points (other than the bonus points) requires a separate join between the mls_entry and mls_category tables. I would do this in a separate subquery, and then join this to the larger query.
Here is one approach:
SELECT
u.name,
COALESCE(t1.points, 0) AS points,
COALESCE(b.bonus_point, 0) AS bonus_points,
COALESCE(t1.points, 0) + COALESCE(b.bonus_point, 0) AS total_points
FROM mls_user u
LEFT JOIN
(
SELECT e.user_id, SUM(e.distance / c.cat_value) AS points
FROM mls_entry e
INNER JOIN mls_category c
ON e.store_id = c.store_id AND e.category = c.cat_no
GROUP BY e.user_id
) t1
ON u.id = t1.user_id
LEFT JOIN bonus_point b
ON u.id = b.user_id
ORDER BY
total_points DESC;
This is the output I am getting from the above query in the demo you setup:
The output does not match exactly, because you have (perhaps) a typo in Santosh's data in your question, or otherwise the expected output in your question has a typo.
i hope my description will be enough. i tried to remove all non-significant fields.
i have 5 tables (Customer, Invoice, Items, Invoice_Item, Payment):
Customer fields and sample date are:
+----+------+
| ID | Name |
+----+------+
| 1 | John |
| 2 | Mary |
+----+------+
Invoice fields and sample date are:
+----+-----------+----------+------+
| ID | Date | Customer | Tax |
+----+-----------+----------+------+
| 1 | 1.1.2017 | 1 | 0.10 |
| 2 | 2.1.2017 | 2 | 0.10 |
| 3 | 3.1.2017 | 1 | 0.10 |
| 4 | 3.1.2017 | 2 | 0.10 |
| 5 | 8.1.2017 | 1 | 0.10 |
| 6 | 11.1.2017 | 1 | 0.10 |
| 7 | 12.1.2017 | 2 | 0.10 |
| 8 | 13.1.2017 | 1 | 0.10 |
+----+-----------+----------+------+
Item fields and sample data are:
+----+--------+
| ID | Name |
+----+--------+
| 1 | Door |
| 2 | Window |
| 3 | Table |
| 4 | Chair |
+----+--------+
Invoice_Item fields and sample data are:
+------------+---------+--------+------------+
| Invoice_ID | Item_ID | Amount | Unit_Price |
+------------+---------+--------+------------+
| 1 | 1 | 4 | 10 |
| 1 | 2 | 2 | 20 |
| 1 | 3 | 1 | 30 |
| 1 | 4 | 2 | 40 |
| 2 | 1 | 1 | 10 |
| 2 | 3 | 1 | 15 |
| 2 | 4 | 2 | 12 |
| 3 | 3 | 4 | 15 |
| 4 | 1 | 1 | 10 |
| 4 | 2 | 20 | 30 |
| 4 | 3 | 15 | 30 |
| 5 | 1 | 4 | 10 |
| 5 | 2 | 2 | 20 |
| 5 | 3 | 1 | 30 |
| 5 | 4 | 2 | 40 |
| 6 | 1 | 1 | 10 |
| 6 | 3 | 1 | 15 |
| 6 | 4 | 2 | 12 |
| 7 | 3 | 4 | 15 |
| 8 | 1 | 1 | 10 |
| 8 | 2 | 20 | 30 |
| 8 | 3 | 15 | 30 |
+------------+---------+--------+------------+
The reason the price is in this table not in the item table is because it is customer specific price.
Payment fields are:
+----------+--------+-----------+
| Customer | Amount | Date |
+----------+--------+-----------+
| 1 | 40 | 3.1.2017 |
| 2 | 10 | 7.1.2017 |
| 1 | 60 | 10.1.2017 |
+----------+--------+-----------+
so my report should be combine all tables and sort by DATE (either from Invoice or Payment) for a certain customer.
so for e.g. for customer John (1) it should be like:
+------------+----------------+---------+-----------+
| Invoice_ID | Invoice_Amount | Payment | Date |
+------------+----------------+---------+-----------+
| 1 | 171 | - | 1.1.2017 |
| 3 | 54 | - | 3.1.2017 |
| - | - | 40 | 3.1.2017 |
| 5 | 171 | - | 8.1.2017 |
| - | 10 | 60 | 10.1.2017 |
| 6 | 44.1 | - | 11.1.2017 |
| 8 | 954 | - | 13.1.2017 |
+------------+----------------+---------+-----------+
it is sorted by date, Invoice amount is (sum of (Amount* unit price)) * (1-tax)
i started with union but then got lost.
here is my try:
SELECT Inv_ID as Num, SUM(Invoice_Items.II_Price*Invoice_Items.II_Amount) AS Amount, Inv_Date as Created
FROM Invoice INNER JOIN Invoice_Items ON Invoice.Inv_ID = Invoice_Items.II_Inv_ID
UNION ALL
SELECT Null as Num, P_Value as Amount, P_Date as Created
FROM Payments
ORDER BY created ASC
Your help is appreciated!
Thanks
You can generate the report you requested using the following SQL script:
SELECT CustomerID,Invoice_ID,Invoice_Amount,Payment,Date
FROM (
SELECT c.ID AS CustomerID, i.ID AS Invoice_ID, SUM((t.Amount * t.UnitPrice)*(1-i.tax)) AS Invoice_Amount, NULL AS Payment,i.Date
FROM (Customer c
LEFT JOIN Invoice i
ON c.ID = i.Customer)
LEFT JOIN Invoice_Item t
ON i.ID = t.Invoice_ID
GROUP BY c.ID, i.ID,i.Date
UNION
SELECT c.ID AS CustomerID,NULL AS Invoice_ID, NULL AS Invoice_Amount, p.Amount AS Payment, p.Date
FROM Customer c
INNER JOIN Payment p
ON c.ID = p.Customer ) a
ORDER BY CustomerID, Date, Payment ASC
Note: I've added CustomerID to the output so you know what customer the data corresponds to.
here is the Answer which worked for me, a bit corrected from #Catzeye Answer , which didnt show the second part of the Union.
SELECT c.ID AS CustomerID,NULL AS Invoice_ID, NULL AS Invoice_Amount, p.Amount AS Payment, p.Date
FROM Customer c
INNER JOIN Payment p
ON c.ID = p.Customer
UNION ALL
SELECT c.ID AS CustomerID, i.ID AS Invoice_ID, SUM((t.Amount * t.Unit_Price)*(1-i.tax)) AS Invoice_Amount, NULL AS Payment,i.Date
FROM (Customer c
INNER JOIN Invoice i
ON c.ID = i.Customer)
INNER JOIN Invoice_Item t
ON i.ID = t.Invoice_ID
GROUP BY c.ID, i.ID,i.Date
ORDER BY CustomerID, Date, Payment;