I need some help with SQL and JSON... Each casino has many deposits...
I'm trying to group each casinos deposit objects into a column in
json format.
Unfortunately I seem to be missing something since I now get all deposit objects of all casinos into each "deposits" column on every casino row.
I want each deposits column to only have the deposit objects for that particular casino.
Any ideas?
SELECT casino.id
, casino."name"
, json_agg(json_build_object('name', d."name", 'logo', d.logo)) as deposits
--
FROM public."Casino" casino
--
left join "DepositsOnCasinos" doc
on doc."casinoId" = casino.id
--
left join "Deposit" d
on d.id = doc."depositId"
--
GROUP BY casino.id, casino."name";
I solved it using:
jsonb_agg(distinct jsonb_build_object('name', d."name", 'logo', d.logo)) as deposits
Related
I have a table named Ticket Numbers, which (for this example) contain the columns:
Ticket_Number
Assigned_Group
Assigned_Group_Sequence_No
Reported_Date
Each ticket number could contain 4 rows, depending on how many times the ticket changed assigned groups. Some of these rows could contain an assigned group of "Desktop Support," but some may not. Here is an example:
Example of raw data
What I am trying to accomplish is to get the an output that contains any ticket numbers that contain 'Desktop Support', but also the assigned group of the max sequence number. Here is what I am trying to accomplish with SQL:
Queried Data
I'm trying to use SQL with the following query but have no clue what I'm doing wrong:
select ih.incident_number,ih.assigned_group, incident_history2.maxseq, incident_history2.assigned_group
from incident_history_public as ih
left join
(
select max(assigned_group_seq_no) maxseq, incident_number, assigned_group
from incident_history_public
group by incident_number, assigned_group
) incident_history2
on ih.incident_number = incident_history2.incident_number
and ih.assigned_group_seq_no = incident_history2.maxseq
where ih.ASSIGNED_GROUP LIKE '%DS%'
Does anyone know what I am doing wrong?
You might want to create a proper alias for incident_history. e.g.
from incident_history as incident_history1
and
on incident_history1.ticket_number = incident_history2.ticket_number
and incident_history1.assigned_group_seq_no = incident_history2.maxseq
In my humble opinion a first error could be that I don't see any column named "incident_history2.assigned_group".
I would try to use common table expression, to get only ticket number that contains "Desktop_support":
WITH desktop as (
SELECT distinct Ticket_Number
FROM incident_history
WHERE Assigned_Group = "Desktop Support"
),
Than an Inner Join of the result with your inner table to get ticket number and maxSeq, so in a second moment you can get also the "MAXGroup":
WITH tmp AS (
SELECT i2.Ticket_Number, i2.maxseq
FROM desktop D inner join
(SELECT Ticket_number, max(assigned_group_seq_no) as maxseq
FROM incident_history
GROUP BY ticket_number) as i2
ON D.Ticket_Number = i2.Ticket_Number
)
SELECT i.Ticket_Number, i.Assigned_Group as MAX_Group, T.maxseq, i.Reported_Date
FROM tmp T inner join incident_history i
ON T.Ticket_Number = i.Ticket_Number and i.assigned_group_seq_no = T.maxseq
I think there are several different method to resolve this question, but I really hope it's helpful for you!
For more information about Common Table Expression: https://www.essentialsql.com/introduction-common-table-expressions-ctes/
I have a weird question - I understand that Joins return matching data based on the 'ON' stipulation, however the problem I am facing is I need the Business date back for both tables but at the same time i need to join on the date in order to get the totals correct
See below code:
Select
o.Resort,
o.Business_Date,
Occupied,
Comps,
House,
ADR,
Room_Revenue,
Occupied-(Comps+House) AS DandT,
Coalesce(gd.Projected_Occ1,0) AS Projected_Occ1,
Occupied-(Comps+House)+Coalesce(gd.Projected_Occ1,0) as Total
from Occupancy o
left join Group_Details_HF gd
on o.Business_Date = gd.Business_Date
and o.Resort = gd.resort
UNION ALL
select
o.Resort,
o.Business_Date,
Occupied,
Comps,
House,
ADR,
Room_Revenue,
Occupied-(Comps+House) AS DandT,
Coalesce(gd.Projected_Occ1,0) AS Projected_Occ1,
Coalesce(Occupied-(Comps+House),0)+Coalesce(gd.Projected_Occ1,0) as Total
from Occupancy_Forecast o
FULL OUTER JOIN Group_Details_HF gd
on o.Business_Date = gd.Business_Date
and o.Resort = gd.resort
Currently, this gives me the desired results from the Occupancy and Occupancy forecast table however when the business date does not exist in the occupancy forecast table it ignores the group_details table, I need the results to combine the dates when they exist in both or give the unique results for each when there is no match
I have decided to create another pivot table storing the details from Group_Details_HF and then Union together the two tables which has given me the desired result rather than fiddling with the join :)
Can someone please help me with this issue? I've scoured the Internet looking at dozens of examples, but i just can't find a solution that works.
I am using Access 2013. The problem is that I am trying to make a query that will highlight all part numbers from a supplier that either has customer back orders and/or overdue deliveries.
I am using three tables:
tbl_Inventory_Master which I require the part number, on hand stock value, and the supplier code.
For any back orders I need to join the tbl_Customer_Back_Order table as I need the count of back order lines and the sum of the back order quantity.
If the supplier has a late delivery, then I need to add the tbl_On_Order table showing the count of overdue deliveries and the sum of the overdue quantities.
The query is retrieving the data but the returned quantities are double what they should be.
SELECT
I.Inventory_Part_Num, I.Description, I.On_Hand_Stock,
COUNT (B.Part_Number) AS Back_Order_Count, SUM(B.Back_Order_Qty) as BO_Qty,
COUNT(O.Part_Number) AS Late_Deliveries_Count, SUM(O.Order_Qty) AS Late_Qty
FROM (tbl_Inventory_Master AS I
LEFT OUTER JOIN tbl_Customer_Back_Order AS B
ON I.Inventory_Part_Num = B.Part_Number)
LEFT OUTER tbl_On_Order AS O
ON I.Inventory_Part_Num = O.Part_Number
WHERE
I.Customer_Code = '274' AND
O.Due_Date < [ENTER TODAYS DATE IN FORMAT DD/MM/YYYY]
GROUP BY I.Inventory_Part_Num, I.Description, I.On_Hand_Stock
For example, for the part number 2022940 I should have 10 back order lines and an overdue quantity of 43. Instead, the query is returning 20 back order lines and an overdue quantity sum of 86.
From the on order table I have three orders totaling 144 pieces, instead the query is returning 960.
Can someone please advise, as this is driving me crazy?
You are joining along unrelated dimensions, so you need to aggregate before joining:
SELECT I.Inventory_Part_Num, I.Description, I.On_Hand_Stock,
B.Back_Order_Count, B.BO_Qty,
O.Late_Deliveries_Count, O.Late_Qty
FROM (tbl_Inventory_Master AS I LEFT OUTER JOIN
(SELECT B.Part_Number, COUNT(*) as Back_Order_Count,
SUM(B.Back_Order_Qty) as BO_Qty
FROM tbl_Customer_Back_Order AS B
GROUP BY B.Part_Number
) as B
ON I.Inventory_Part_Num = B.Part_Number
) LEFT JOIN
(SELECT O.Part_Number, COUNT(O.Part_Number) AS Late_Deliveries_Count,
SUM(O.Order_Qty) AS Late_Qty
FROM tbl_On_Order AS O
WHERE O.Due_Date < [ENTER TODAYS DATE IN FORMAT DD/MM/YYYY]
GROUP BY O.Part_Number
) as O
ON I.Inventory_Part_Num = O.Part_Number
WHERE I.Customer_Code = '274';
Notice the outer aggregation is no longer needed.
I have a table, flight_schedule, that consists of a bunch of flight segments. Below I have a Terradata SQL query that creates a list of two segment itineraries between Chicago and Denver. i.e. each row has two flights that eventually get the passenger from Chicago to Denver. For example, the first row contains flight information on a leg from Chicago to Omaha and then a later leg from Omaha to Denver. This query works just fine.
SELECT A.flt_num, A.dprt_sta_cd, A.arrv_sta_cd, A.sch_dprt_dtml, A.sch_arrv_dtml,
B.flt_num, B.dprt_sta_cd, B.arrv_sta_cd, B.sch_dprt_dtml, B.sch_arrv_dtml
FROM
flight_schedule A
CROSS JOIN
flight_schedule B
WHERE
A.dprt_sta_cd = 'Chicago' AND
B.arrv_sta_cd = 'Denver' AND
A.arrv_sta_cd = B.dprt_sta_cd AND
A.sch_arrv_dtml < B.sch_dprt_dtml
ORDER BY B.sch_arrv_dtml;
I have another table, flight_seat_inventory, that consists of seats available in different cabins for each flight number. The query below aggregates total available seats for each flight number. This query is also A-OK.
SELECT flt_num, SUM(seat_cnt) as avail_seats
FROM flight_seat_inventory
GROUP BY flt_num;
I want to combine these two queries with a LEFT JOIN, twice, so that each flight has a corresponding avail_seats value. How can I do this?
For added clarity, I think my desired Select statement looks like this:
SELECT A.flt_num, A.dprt_sta_cd, A.arrv_sta_cd, A.sch_dprt_dtml, A.sch_arrv_dtml, C.avail_seats
B.flt_num, B.dprt_sta_cd, B.arrv_sta_cd, B.sch_dprt_dtml, B.sch_arrv_dtml, D.avail_seats
flight_schedule is HUGE, so I suspect it's more efficient to do the LEFT JOIN after the CROSS JOIN. Again, using Teradata SQL.
Thanks!
I needed to declare the second seats query as a temporary table using a WITH command before I did the LEFT JOIN:
WITH tempSeatsTable AS (
SELECT flt_num, SUM(seat_cnt) as avail_seats
FROM flight_seat_inventory
GROUP BY flt_num
)
SELECT
A.flt_num, A.dprt_sta_cd, A.arrv_sta_cd, A.sch_dprt_dtml, A.sch_arrv_dtml, C.avail_seats
B.flt_num, B.dprt_sta_cd, B.arrv_sta_cd, B.sch_dprt_dtml, B.sch_arrv_dtml, D.avail_seats
FROM
flight_schedule A
CROSS JOIN
flight_schedule B
LEFT JOIN
tempSeatsTable C
ON A.flt_num = C.flt_num
LEFT JOIN
tempSeatsTable D
ON B.flt_num = D.flt_num
WHERE
A.dprt_sta_cd = 'Chicago' AND
B.arrv_sta_cd = 'Denver' AND
A.arrv_sta_cd = B.dprt_sta_cd AND
A.sch_arrv_dtml < B.sch_dprt_dtml
ORDER BY B.sch_arrv_dtml;
My question: the owners would like to know the revenue generated so far (i.e. where CheckOutDate < DATE()) for each room type in each hotel.
The calculation must be done in the SQL statement.
Determine the length of stay for each reservation (i.e. number of days) using the DateDiff function datediff('d', checkindate, checkoutdate) and multiply this value by the room rate.
Your output should be formatted as shown on the next page. Your Revenue totals may be different. Keep in mind, the Revenue amount may change on a daily basis, as we want to include only those reservations that are completed, not current or future reservations.
select
room.hotelID, room.roomtype,
datediff('d', Reservation.CheckOutDate, Reservation.CheckInDate) * ROOM_TYPE.RoomRate as Revenue
from
Reservation
inner join
Room on Room.hotelID = Reservation.HotelID
inner join
ROOM_TYPE on ROOM_TYPE.RoomType = Room.roomtype
group by
Room.HotelID, Room.roomtype;
I am getting syntax error statement missing in this.
How to resolve this error in MS Access?
When using a Group By clause, any columns that are not part of the grouping must be aggregated. In your case, Room.HotelID and Room.RoomType are the grouping columns. So they are fine in your SELECT clause, as-is. But Revenue needs to be aggregated. I expect that you will want to use the SUM aggregation to sum up all of the Revenue values for each room type. Try this...
select room.hotelID,
room.roomtype,
SUM( datediff(day,Reservation.CheckOutDate,Reservation.CheckInDate )*ROOM_TYPE.RoomRate) as Revenue
from Reservation
inner join Room on Room.hotelID=Reservation.HotelID
inner join ROOM_TYPE on ROOM_TYPE.RoomType=Room.roomtype
group by Room.HotelID, Room.roomtype;
Running the query below against your data in Access 2010 produced this result set:
hotelID roomtype Revenue
------- -------- ----------
1000 D $23,000.00
1000 F $23,100.00
1000 S $20,700.00
1111 D $36,500.00
1111 F $16,450.00
1111 S $15,300.00
SELECT
rm.hotelID,
rm.roomtype,
Sum(DateDiff('d', rs.CheckInDate, rs.CheckOutDate) * rt.RoomRate) AS Revenue
FROM
(
ROOM AS rm INNER JOIN RESERVATION AS rs
ON (rm.roomno = rs.RoomNo) AND (rm.hotelID = rs.HotelID)
)
INNER JOIN ROOM_TYPE AS rt
ON rm.roomtype = rt.RoomType
WHERE rs.CheckOutDate < Date()
GROUP BY rm.hotelID, rm.roomtype;
You should still learn how to use the Query Builder but I think the parens should look something like this:
select
Room.HotelID, Room.roomtype,
sum(
datediff('d',Reservation.CheckOutDate,Reservation.CheckInDate) *
ROOM_TYPE.RoomRate
) as Revenue
from
((Reservation inner join Room on Room.hotelID = Reservation.HotelID)
inner join ROOM_TYPE on ROOM_TYPE.RoomType = Room.roomtype)
group by
Room.HotelID, Room.roomtype;
So in summary:
Be careful with grouping columns and aggregates
Access uses quotes around it's datediff argument unlike some other systems
Nesting of joins needs parentheses
In MS Access we have to mention in brackets () on the clause in from statement. Apart from that datediff function has to be a part of aggregate function.