I have the following tables:
rooms
+--------+------------+
| room_id| room_name |
+--------+------------+
| 1 | Kitchen |
| 2 | Bedroom |
+--------+------------+
room_products
+--------+------------+
| room_id| product_id |
+--------+------------+
| 1 | 101 |
| 1 | 102 |
| 1 | 103 |
| 1 | 104 |
| 2 | 105 |
| 2 | 106 |
| 2 | 107 |
+--------+------------+
products
+------------+--------------+
| product_id | product_name |
+------------+--------------+
| 101 | Kettle |
| 102 | Toaster |
| 103 | Microwave |
| 104 | Cooker |
| 105 | Bed |
| 106 | Lamp |
| 107 | Clock |
+------------+--------------+
The output I'm trying to get is:
+----------+-------------------------------------+
| room_name| product_name_aggregated |
+----------+-------------------------------------+
| Kitchen | Kettle, Toaster, Microwave, Cooker |
| Bedroom | Bed, Lamp, Clock |
+----------+-------------------------------------+
The code I have so far is:
SELECT r.room_name, STRING_AGG(p.product_name)
FROM rooms r
JOIN room_products rp ON rp.room_id = r.room_id
JOIN products p ON p.product_id = rp.product_id
WHERE r.room_id = 1 OR r.room_id = 2;
Think I'm getting all kinds of confused. Would really appreciate any help... Thank you.
You are almost there:
SELECT r.room_name, STRING_AGG(p.product_name, ',')
FROM rooms r JOIN
room_products rp
ON rp.room_id = r.room_id JOIN
products p
ON p.product_id = rp.product_id
WHERE r.room_id IN (1, 2)
GROUP BY r.room_name;
The changes are:
Added a second argument to STRING_AGG().
Changed the WHERE to use IN (more convenient; OR also works).
Added GROUP BY.
Note that I would recommend ARRAY_AGG() rather than STRING_AGG() -- arrays are quite useful in BigQuery.
Related
I'd to create a database that records transactions between two users. A user can transfer points (think of it as money) to another user. user table looks like:
| userID | name | email | balance |
| ------------- |---------------|------------------|------------|
| 101 | alpha | alpha#mail.com | 1000 |
| 102 | bravo | bravo#mail.com | 500 |
| 103 | charlie | charlie#mail.com | 2000 |
And the transaction table should look like:
transactionID | from_user | to_user | transfer_amount |
| ------------- |---------------|------------------|------------------|
| 1 | 101 | 103 | 100 |
| 2 | 102 | 101 | 150 |
| 3 | 102 | 103 | 200 |
just i needed this result:
| row | from_user | to_user | transfer_amount |
| ------------- |---------------|------------------|------------------|
| 1 | alpha | charlie | 100 |
| 2 | bravo | alpha | 150 |
| 3 | bravo | charlie | 200 |
Could someone give hints to provide SQL Server code?
Select from_user, to_user, name, transfer_amount from transaction iner join users on trans.id==user.id;
SELECT T.TRANSACTION_ID,T.FROM_USER,U_FROM.NAME,
T.TO_USER,U_TO.NAME,T.TRANSFER_AMOUNT
FROM TRANSACTIONS AS T
JOIN USERS AS U_FROM ON T.FROM_USER=U_FROM.USER_ID
JOIN USERS AS U_TO ON T.TO_USER=U_TO.USER_ID
Something like this, I guess
I've been scratching my head on this for a week now.
Consider two tables - one tallying inventory:
+------------+--------------+----------+-------------------+
| product_id | product_name | date | on_hand_inventory |
+------------+--------------+----------+-------------------+
| 1 | Product A | 6/1/2019 | 37 |
| 1 | Product A | 6/2/2019 | 36 |
| 1 | Product A | 6/3/2019 | 35 |
| 1 | Product A | 6/4/2019 | 40 |
| 1 | Product A | 6/5/2019 | 42 |
+------------+--------------+----------+-------------------+
... and another tracking costs:
+------------+----------------+------------+------------+------------+
| product_id | cost_component | cost_value | start_date | end_date |
+------------+----------------+------------+------------+------------+
| 1 | FOB | 15 | 1/1/2019 | 6/1/2019 |
| 1 | FOB | 15.5 | 6/2/2019 | 6/3/2019 |
| 1 | FOB | 16 | 6/4/2019 | 12/31/9999 |
+------------+----------------+------------+------------+------------+
The layout of the cost table is what's driving me nuts. I need to join these
tables to keep a running valuation of on-hand inventory, and I can't think of a
method in SQL that would let me select the appropriate row in the cost table.
A join on produt_id doesn't work because it would return all cost components for
that item whether or not they apply to that date. I feel like should be
involving a CASE statement, but I'm not sure what that would look like.
This is in MSSQL 2016, for what its worth.
If you want the most recent cost, you can use join:
select t.*, c.*
from inventory i join
costs c
on c.product_id = i.product_id and
i.date between c.start_date and c.end_date;
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.
The data looks similar to this:
+----+------+-----------+-------+---------+---------+--------+
| ID | Unit | Floorplan | Sq Ft | Name | Amenity | Charge |
+----+------+-----------+-------+---------+---------+--------+
| 1 | 110 | A1 | 750 | Alan | GARAGE | 50 |
| 2 | | | | | RENT | 850 |
| 3 | | | | | PEST | 2 |
| 4 | | | | | TRASH | 15 |
| 5 | | | | | TOTAL | 20 |
| 6 | 111 | A2 | 760 | Bill | STORAGE | 35 |
| 7 | | | | | GARAGE | 50 |
| 8 | | | | | RENT | 850 |
| 9 | | | | | PEST | 2 |
| 10 | | | | | TOTAL | 15 |
| 11 | 112 | A3 | 770 | Charlie | PETRENT | 20 |
| 12 | | | | | STORAGE | 35 |
| 13 | | | | | GARAGE | 50 |
| 14 | | | | | RENT | 850 |
| 15 | | | | | TOTAL | 2 |
+----+------+-----------+-------+---------+---------+--------+
I am new to SQL and trying my best using Microsoft Access, but I need help.
The data needs to look like this:
My first step is to separate the units from the rest with
SELECT * FROM table WHERE Unit <> NULL;
and after that I've usually just hard-input the rest.
My idea was as follows:
INSERT INTO table
VALUES (NULL,NULL,...,'Pest',$2)
FROM table
WHERE NOT EXIST 'Pest' BETWEEN x AND y
/* where x = Total 1 and y = Total 2*/
Am I on the right track? I probably need a loop or a join, but I'm not at that level yet.
You can use a crosstab query, though a bit convoluted it is:
TRANSFORM
Sum(TableUnit.Charge) AS SumOfCharge
SELECT
S.Unit,
S.Floorplan,
S.SqFt,
S.Name,
S.Amenity
FROM
TableUnit,
(SELECT
Q.Id,
Val(DMax("Id","TableUnit","Id<=" & Q.[Id] & " And Unit Is Not Null")) AS ParentId
FROM TableUnit As Q) AS T,
(SELECT
TableUnit.Id,
TableUnit.Unit,
TableUnit.Floorplan,
TableUnit.SqFt,
TableUnit.Name,
TableUnit.Amenity
FROM
TableUnit
WHERE
TableUnit.Unit Is Not Null) AS S
WHERE
TableUnit.Id=[T].[Id]
AND
T.ParentId)=[S].[Id]
GROUP BY
T.ParentId,
S.Unit,
S.Floorplan,
S.SqFt,
S.Name,
S.Amenity
PIVOT
TableUnit.Amenity In
("Garage","Pest","Trash","PetRent","Storage","Rent");
Your test data differs a little from your expected output, so:
My MSAccess is rather rusty, but something like this should work:
SELECT t0.Unit, t0.Floorplan, t0.[Sq Ft], t0.Name, t0.Amenity
, SUM(IIF(tM.Amenity = 'GARAGE', Charge, 0)) AS [Garage]
, SUM(IIF(tM.Amenity = 'PEST', Charge, 0)) AS [Pest]
FROM (
SELECT t1.id AS id0, MIN(t2.id) AS idN
FROM t AS t1
INNER JOIN t AS t2 ON t1.id < t2.id
WHERE t1.Unit <> '' AND t2.Unit <> ''
) AS groups
INNER JOIN t AS t0 ON t0.id = groups.id0
LEFT JOIN t AS tM ON tM.id > groups.id0 AND tm.id < groups.idN
GROUP BY t0.Unit, t0.Floorplan, t0.[Sq Ft], t0.Name, t0.Amenity
;
Though, if I remember correctly, and it hasn't changed in newer versions; you can't have true subqueries and will need to make groups a separate query you can join to as if it were a table/view.
There are 3 Tables (SorMaster, SorDetail, and InvWarehouse):
SorMaster:
+------------+
| SalesOrder |
+------------+
| 100 |
| 101 |
| 102 |
+------------+
SorDetail:
+------------+------------+---------------+
| SalesOrder | MStockCode | MBackOrderQty |
+------------+------------+---------------+
| 100 | PN-1 | 4 |
| 100 | PN-2 | 9 |
| 100 | PN-3 | 1 |
| 100 | PN-4 | 6 |
| 101 | PN-1 | 6 |
| 101 | PN-3 | 2 |
| 102 | PN-2 | 19 |
| 102 | PN-3 | 14 |
| 102 | PN-4 | 6 |
| 102 | PN-5 | 4 |
+------------+------------+---------------+
InvWarehouse:
+------------+-----------+-----------+
| MStockCode | Warehouse | QtyOnHand |
+------------+-----------+-----------+
| PN-1 | A | 1 |
| PN-2 | B | 9 |
| PN-3 | A | 0 |
| PN-4 | B | 1 |
| PN-1 | A | 0 |
| PN-3 | B | 5 |
| PN-2 | A | 9 |
| PN-3 | B | 4 |
| PN-4 | A | 6 |
| PN-5 | B | 0 |
+------------+-----------+-----------+
Desired Results:
+------------+-----------------+--------------+
| MStockCode | SumBackOrderQty | SumQtyOnHand |
+------------+-----------------+--------------+
| PN-1 | 10 | 10 |
| PN-2 | 28 | 1 |
| PN-3 | 17 | 5 |
| PN-4 | 12 | 13 |
| PN-5 | 11 | 6 |
+------------+-----------------+--------------+
I have been going around in circles with no end in sight. Seems like it should be simple but just can't wrap my head around it. The SumBackOrderQty obviously getting counted twice as the SumQtyOnHand is evaluated. To this point I have been doing the calculations in the PHP instead of the select statement but would like to clean things up a bit where possible.
Current query statement is:
SELECT SorDetail.MStockCode,
SUM(SorDetail.MBackOrderQty) AS 'SumMBackOrderQty',
SUM(InvWarehouse.QtyOnHand) AS 'SumQtyOnHand'
FROM SysproCompanyJ.dbo.SorMaster SorMaster,
SysproCompanyJ.dbo.SorDetail SorDetail LEFT OUTER JOIN SysproCompanyJ.dbo.InvWarehouse InvWarehouse
ON SorDetail.MStockCode = InvWarehouse.StockCode
WHERE SorMaster.SalesOrder = SorDetail.SalesOrder
AND SorMaster.ActiveFlag != 'N'
AND SorDetail.MBackOrderQty > '0'
AND SorDetail.MPrice > '0'
GROUP BY SorDetail.MStockCode
ORDER BY SorDetail.MStockCode ASC
Without providing the complete picture, in terms of your RDBMS, database schema, a description of the problem you're trying to solve and sample data that matches the aforementioned, the following is just an illustration of what a solution based on Barmar's comment could look like:
SELECT SD.MStockCode,
SD.SumBackOrderQty,
IW.SumQtyOnHand
FROM (SELECT MStockCode,
SUM(MBackOrderQty) AS `SumBackOrderQty`
FROM SorDetail
JOIN SorMaster ON SorDetail.SalesOrder=SorMaster.SalesOrder
WHERE SorMaster.ActiveFlag != 'N'
AND SorDetail.MBackOrderQty > 0
AND SorDetail.MPrice > 0
GROUP BY MStockCode) AS SD
LEFT JOIN (SELECT MStockCode,
SUM(QtyOnHand) AS `SumQtyOnHand`
FROM InvWarehouse
GROUP BY MStockCode) AS IW ON SD.MStockCode=IW.MStockCode
ORDER BY SD.MStockCode;
Here's one approach:
select MStockCode,
(select sum(MBackOrderQty) from sorDetail as T2
where T2.MStockCode = T1.MStockCode ) as SumBackOrderQty,
(select sum(QtyOnHand) from invWarehouse as T3
where T3.MStockCode = T1.MStockCode ) as SumQtyOnHand
from
(
select mstockcode from sorDetail
union
select mstockcode from invWarehouse
) as T1
In a fiddle here: http://sqlfiddle.com/#!9/fdaca/6
Though my SumQtyOnHand values don't match yours (as #Gordon pointed out).