Join and Group Three Tables On Multiple Criteria - SQL - sql

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,

Related

Sum with 3 tables to join

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;

How to update table 2 from the inserted data in table 1?

Can you help me on what query I to to update one table with data from another.
I have 2 tables for example:
tbl_med_take
| id | name | med | qty |
---------------------------------
| 1 | jayson | med2 | 3 |
| 2 | may | med2 | 4 |
| 3 | jenny. | med3 | 6 |
| 4 | joel. | med3 | 4 |
tbl_med
| id | med | stocks |
-----------------------------
| 1 | med1 | 20 |
| 2 | med2 |. 17 |
| 3 | med3 | 24 |
The output that I want in tbl_med:
tbl_med
| id | med | stocks |
-----------------------------
| 1 | med1 | 20 |
| 2 | med2 |. 10 |
| 3 | med3 | 14 |
First get the total consumed from med_tbl_take using
select med,sum(quantity) as total from tbl_med_take group by med
Then you can left join with your med_tbl and subtract.
select m.id,m.med,(m.stocks-ISNULL(n.total,0)) from tbl_med m
left join
(select med,sum(quantity) as total from tbl_med_take group by med) n
on m.med=n.med
CHECK DEMO HERE

SQL Server query with sums from multiple tables

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];

How to create a query for items that appears only in one list

The scenario I am working on is as follows:-
A number of interviews are conducted a food poisoning case
A query called qryFoodInCase ( fldCaseID, fldFood) is generate consisting of all the food mentioned in all the interviews
An other query call qryFoodInInterview( fldCaseID, fldInterviewID, fldFood) consist of the food mentioned in each Interview
Now I am after the sql for a query that will return the food that was not consumed by an interviewee but consumed by one or more other interviewees.
The closest I've got is:
select Q1.fldCaseID,Q1.fldfood,Q2.fldInterviewID,fldGotSick
from qryFoodInCases as Q1
left join
(select * from qryFoodInInterview where qryFoodInInterview.fldInterviewID=1) as Q2
on Q1.fldFood=Q2.fldFood
where Q1.fldCaseID=1
The field Q2.fldInterviewID returns 1 for the food consumed and null for the food not consumed. However, I don't want to hard code the fldInterviewID in the sql. I would like a similar recordset returned for all the interviews in one query.
The SQL for qryFoodInCase and qryFoodInInterview are as follows:-
CREATE VIEW `qryFoodInCases`
AS
SELECT tblCases.fldCaseID
,fldfood
,count(tblFoodHistory.fldFoodID) AS fldFoodFrequency
FROM tblFood
INNER JOIN tblFoodHistory
ON tblFoodHistory.fldFoodID = tblFood.fldFoodID
INNER JOIN tblMealHistory
ON tblFoodHistory.fldMealID = tblMealHistory.fldMealHistoryID
INNER JOIN tblInterviews
ON tblInterviews.fldInterviewID = tblMealHistory.fldInterviewID
INNER JOIN tblCases
ON tblCases.fldCaseID = tblInterviews.fldCaseID
GROUP BY tblCases.fldCaseID, tblFood.fldFood
OUTPUT:
+-----------+------------+------------------+
| fldCaseID | fldFood | fldFoodFrequency |
+-----------+------------+------------------+
| 1 | Banana | 3 |
| 1 | Beans | 5 |
| 1 | Cabagge | 3 |
| 1 | Chicken | 1 |
| 1 | Pork | 5 |
| 1 | Potatoes | 1 |
| 1 | Rice | 1 |
| 1 | fried fish | 1 |
| 2 | Cabagge | 1 |
| 2 | Chicken | 2 |
| 2 | Potatoes | 1 |
| 2 | Rice | 1 |
| 2 | Salad | 1 |
+-----------+------------+------------------+
and
CREATE VIEW `qryFoodInInterview`
AS
SELECT tblInterviews.fldCaseID
,tblInterviews.fldInterviewID
,tblFood.fldFood
,tblInterviews.fldGotSick
FROM tblInterviews
INNER JOIN tblMealHistory
ON tblInterviews.fldInterviewID = tblMealHistory.fldInterviewID
INNER JOIN tblFoodHistory
ON tblFoodHistory.fldMealID = tblMealHistory.fldMealHistoryID
INNER JOIN tblFood
ON tblFood.fldFoodID = tblFoodHistory.fldFoodID
GROUP BY tblInterviews.fldInterviewID, tblFoodHistory.fldFoodID
OUTPUT
+-----------+----------------+------------+------------+
| fldCaseID | fldInterviewID | fldFood | fldGotSick |
+-----------+----------------+------------+------------+
| 1 | 1 | Pork | 0 |
| 1 | 1 | Banana | 0 |
| 1 | 1 | Rice | 0 |
| 1 | 1 | Potatoes | 0 |
| 1 | 2 | Chicken | 1 |
| 1 | 2 | Banana | 1 |
| 1 | 2 | Beans | 1 |
| 1 | 4 | Pork | 1 |
| 1 | 4 | fried fish | 1 |
| 1 | 4 | Beans | 1 |
| 2 | 6 | Salad | 0 |
| 2 | 6 | Chicken | 0 |
| 2 | 6 | Cabagge | 0 |
| 2 | 6 | Rice | 0 |
| 2 | 6 | Potatoes | 0 |
| 1 | 8 | Pork | 0 |
| 1 | 8 | Cabagge | 0 |
| 1 | 9 | Pork | 1 |
| 1 | 9 | Banana | 1 |
| 1 | 9 | Beans | 1 |
| 1 | 10 | Cabagge | 1 |
| 1 | 10 | Beans | 1 |
| 1 | 11 | Pork | 1 |
| 1 | 11 | Cabagge | 1 |
| 1 | 11 | Beans | 1 |
+-----------+----------------+------------+------------+
SQL Fiddle Demo
create a cross join off all food with all interviewrs
then a left join to see which one didnt had interview
the null mean interview didnt consume food
and exists mean someone different to interview consume food
.
SELECT F.fldFood, I.fldInterviewID, FI.fldInterviewID
FROM qryFoodInCases F, (SELECT DISTINCT fldInterviewID FROM qryFoodInInterview) I
LEFT JOIN qryFoodInInterview FI
ON F.fldFood = FI.fldFood
AND I.fldInterviewID = FI.fldInterviewID
WHERE FI.fldInterviewID IS NULL
AND EXISTS (SELECT 1
FROM qryFoodInInterview Q1
WHERE Q1.fldFood = F.fldFood
AND Q1.fldInterviewID <> I.fldInterviewID)
;
The trick was do the thing one step at the time. Once I realize I need all the combinations and create the cross join, the rest was easy.
select Q1.fldCaseID,Q1.fldfood,Q2.fldInterviewID,fldGotSick
from qryFoodInCases as Q1
left join
(select * from qryFoodInInterview QF1
JOIN qryFoodInInterview QF2
where QF1.fldInterviewID <> QF2.fldInterviewID
AND QF1.fldInterviewID > QF2.fldInterviewID
) as Q2
on Q1.fldFood=Q2.fldFood
where Q1.fldCaseID=1
As you mentioned you want to duplicate the items FoodInterviews, self JOIN will suffice your question. Please try this out , caution I didn't tested it.
Fixing Missed Self Join Condition to fix duplicates.

Join Distinct or First

I have a table structure for SalesItems, and Sales.
SalesItems is setup something like this
| SaleItemID | SaleID | ProductID | ProductType |
| 1 | 1 | 1 | 1 |
| 2 | 1 | 2 | 2 |
| 3 | 1 | 15 | 1 |
| 4 | 2 | 5 | 2 |
| 5 | 3 | 1 | 1 |
| 6 | 3 | 8 | 5 |
And Sales is setup something like this
| Sale | Cash |
| 1 | 1.00 |
| 2 | 10.00 |
| 3 | 28.50 |
I am trying to export a basic 'Daily History' that uses joins to spit out the information like this.
| Date | StoreID | Type1Sales | Type2Sales | ... | Cash Taken |
| 5/2 | 50 | 50 | 40 | ... | 39.50 |
| 5/3 | 50 | 10 | 32.50 | ... | 48.50 |
The issue I'm having is if I do an inner join From Sales to Sales Items, I'll end up with this.
| SaleItemID | SaleID | ProductID | ProductType | Sale | Cash |
| 1 | 1 | 1 | 1 | 1 | 1.00 |
| 2 | 1 | 2 | 2 | 1 | 1.00 |
| 3 | 1 | 15 | 1 | 1 | 1.00 |
| 4 | 2 | 5 | 2 | 2 | 10.00 |
| 5 | 3 | 1 | 1 | 3 | 28.50 |
| 6 | 3 | 8 | 5 | 3 | 28.50 |
So if I do a SUM(Cash), then I'll end up returning $70.00, instead of the correct $39.50. I'm not the best with joins, so I've been researching outer joins and such, but none of those seem to work as it's still matching up. Is there a way to only match on the FIRST instance, and return NULL for the rest? For example, something like this
| SaleItemID | SaleID | ProductID | ProductType | Sale | Cash |
| 1 | 1 | 1 | 1 | 1 | 1.00 |
| 2 | 1 | 2 | 2 | 1 | NULL |
| 3 | 1 | 15 | 1 | 1 | NULL |
| 4 | 2 | 5 | 2 | 2 | 10.00 |
| 5 | 3 | 1 | 1 | 3 | 28.50 |
| 6 | 3 | 8 | 5 | 3 | NULL |
Or do you have any other suggestions for returning back the correct amount of Cash for each particular day?
Use DISTINCT(SaleID) in your SELECT to return a single row for each Sale ID.