need help from expert here....I need to count record where condition specific customerID based on hm_value
Here is my table named risk
logNo customerID
r1 001
r2 002
r3 001
r4 001
Table named riskMov where the relation of risk.logNo and riskMov.logNo is 1:M
Need to take one record from multiple id where latest date
logNo hm_value date_created
r1 11 2021-01-21
r1 12 2021-03-03
r2 14 2021-02-21
r3 13 2021-02-22
r3 12 2021-04-22
r4 13 2021-01-21
Customer table where the relation customer.customerID and risk.CustomerID 1:M
customerID custName
001 Oppo
002 Samsung
003 Nokia
004 Motorola
005 Huawei
HeatMap Table where the relation Heatmap.value and RiskMov.hm_value m:1
xAxis yAxis value
1 1 11
2 1 12
3 1 13
4 1 14
5 1 15
I need return all count from table risk record where specific customerID condition .
I try use case when user customerId = '001' then null with multiple join of table but not expected result
Here is my attempt query
SELECT d."yaxis" AS y,
d."xaxis" AS x,
CASE
WHEN c."customerid" = '001' THEN ( Count(DISTINCT a.customerid) )
ELSE 0
END AS count
FROM PUBLIC."risk" a
INNER JOIN (SELECT DISTINCT logno,
hm_value
FROM PUBLIC."riskmov") b
ON a.logno = b.logno
RIGHT JOIN PUBLIC."customer" c
ON c.customerid = b."customerid"
RIGHT JOIN PUBLIC."heatmap" d
ON b."value" = d."value"
GROUP BY d."yaxis",
d."axis",
c."cu_customer_id"
ORDER BY d."yaxis",
d."xaxis" DESC
My expected result as below
xAxis yAxis count(count record by specfic customer. eg- customerID = '001')
1 1 1
2 1 1
3 1 1
4 1 0
5 1 0
Related
I have an items table
id
name
1
Nganu
2
Kae
3
Lho
Also I have an item_usages table:
id
item_id
user_id
usage_time
1
1
99
2021-10-07 00:00:00
2
2
99
2021-10-07 00:00:00
3
1
99
2021-10-08 00:00:00
4
1
22
2021-10-08 00:00:00
5
3
22
2021-10-08 00:00:00
6
1
99
2021-10-08 00:00:00
I want to find an item's total usage and user usage in a query. an example I would like to find user_id 99 usage, expected result:
id
name
total_usage
user_usage
2
Kae
1
1
1
Nganu
4
3
3
Lho
1
0
I tried:
select
"items".*,
count(total_usage.id) as total_usage,
count(user_usage.id) as user_usage
from
"items"
left join
"item_usages" as "total_usage" on "items"."id" = "total_usage"."item_id"
left join
"item_usages" as "user_usage" on "user_usage"."item_id" = "items"."id"
and "user_usage"."user_id" = 99
group by
"items"."id";
but it returns:
id
name
total_usage
user_usage
2
Kae
1
1
1
Nganu
12
12
3
Lho
1
0
item_usages only have 6 rows, why Nganu have 12 on both usage? How to fix my query?
I tried on PostgreSQL 12.8 and 13.4, I also tested on SQLFiddle(PostgreSQL 9.6), Here is the link:
http://sqlfiddle.com/#!17/f1aac/5
I got the query that returned the correct result:
select
"items".*,
min(total_usage.total_count) as total_usage,
count(user_usage.id) as user_usage
from "items"
left join
(select item_id,count(item_id) as total_count from item_usages group by item_id) as total_usage
on "items"."id" = "total_usage"."item_id"
left join "item_usages" as "user_usage"
on "user_usage"."item_id" = "items"."id" and "user_usage"."user_id" = 99
group by "items"."id";
But I don't know about the performance, so I still find faster query if possible and still wondering:
Why does my first query give wrong result?
The reason your query returns high numbers is that you join 2 times.
(From the side of Nganu) The first join will result in 4 rows, the second will map those 4 rows with 3 rows of the same table, resulting in 12 rows.
You can solve this problem with only 1 join:
select "items".id,
count(total_usage.id) as total_usage,
sum(case when total_usage.user_id = 99 then 1 else 0 end) as user_usage
from "items"
left join "item_usages" as "total_usage" on "items"."id" = "total_usage"."item_id"
group by "items".id
And it should work faster (though, on a small dataset is not visible)
I have a table as below in sqlite database. I want to create a line chart showing usage by product groups.
Table: ProductUsageData
UserID ProductName ProductGroup Qty RecordID
1 A1 A 12 1
2 A1 A 12 1
1 A2 A 15 1
3 A1 A 12 2
2 B1 B 12 2
5 B2 B 5 2
1 A1 A 12 3
1 A2 A 15 3
4 A1 A 12 3
3 C1 C 12 3
2 C2 C 15 3
Since I want separate line for each ProductGroup I am using below Query
SELECT
SUM(Qty) as UsedQty,
ProductGroup,
RecordID
FROM ProductUsageData
GROUP BY ProductGroup, RecordID
ORDER BY RecordID ASC;
While I get three records for A (for each RecordID) I get only 1 record each for B & C as they are not used during each RecordID.
Problem is when I am putting one line for each ProductGroup in the chart, the points for B & C are shown as per Qty in the first
My output is like this
A 39 1
A 12 2
B 17 2
A 39 3
C 27 3
So the graph looks like this
instead of
To fix this I changed the query using COALESCE to get 0 Qty if the ProductGroup is not used during each recording.
SELECT
COALESCE(SUM(Qty), 0) as UsedQty,
ProductGroup,
RecordID
FROM ProductUsageData
GROUP BY ProductGroup, RecordID
ORDER BY RecordID ASC;
I was expecting output as below
A 39 1
B 0 1
C 0 1
A 12 2
B 17 2
C 0 2
A 39 3
B 0 3
C 27 3
But I am getting same output as first
Please let me know how can I correct the query to get desired output
A typical solution is to first cross join two queries that select the distinct product groups and record ids from the table; this gives you all possible combinations of productGroup and recordID.
Then, you can bring in the original table with a left join, and aggregate:
select
g.productGroup,
coalesce(sum(p.qty), 0) qty,
r.recordID
from (select distinct productGroup from productUsageData) g
cross join (select distinct recordID from productUsageData) r
left join productUsageData p
on p.productGroup = g.productGroup
and p.recordID = r.recordID
group by r.recordID, g.productGroup
order by r.recordID, g.productGroup
In the real world, you might have separate referential tables for product groups and records ids, which would make the query simpler and more efficient (since it would avoid the need to select distinct in subqueries).
Demo on DB Fiddle:
productGroup | qty | recordID
:----------- | :-- | :-------
A | 39 | 1
B | 0 | 1
C | 0 | 1
A | 12 | 2
B | 17 | 2
C | 0 | 2
A | 39 | 3
B | 0 | 3
C | 27 | 3
Table ProductMst (combination is unique - CodeNum, MainCatid, SubCatid)
id CodeNum MainCatid SubCatid Desc Qty
1 001 1 1 prod1 5
2 001 1 2 prod2 10
3 001 2 3 prod3 1
4 002 2 3 prod4 2
5 003 2 3 prod5 3
6 004 1 1 prod6 4
Sub Table SubCatMst
id name subcode
1 scat1 00
2 scat2 00
3 scat3 02
4 scat4 03
Desired Result
id CodeNum MainCatid SubCatid Desc Qty subcode
2 001 1 2 prod2 15 00
3 001 2 3 prod3 1 02
4 002 2 3 prod4 2 02
5 003 2 3 prod5 3 02
6 004 1 1 prod6 4 00
Basically, i wanted to group subcode if same and sum (Qty) based on subcode. And, take the TOP 1 records data as all columns based on MAX(Qty).
Summary: Please check first 2 records which combines.
Query Attempt:
select * from (
select A.*, B.subcode,
ROW_NUMBER() OVER( PARTITION BY A.CodeNum, A.MainCatid, B.subcode ORDER BY A.Qty desc) as row
from ProductMst A
inner join SubCatMst B on A.SubCatid=B.id
) as A where row<=1
Your question says:
i wanted to group subcode if same
If what is the same? I assume this means if codenum is the same.
Regardless of the exact field(s), the logic is the same. You can use window functions to aggregate the data and determine the row to choose:
select ps.*
from (select p.*, sc.subcode,
sum(qty) over (partition by codenum, subcode) as qty,
row_number() over (partition by codenum, subcode order by qty desc) as seqnum
from ProductMst p join
SubCatMst sc
on p.subcatid = sc.id
) ps
where seqnum = 1;
I have 4 tables here, I need to multiply newly entered row value in a table with another row and find the total sum using CustomerId:
CustomerTable:
CustomerId Name EmailId
-------------------------
1 Paul r#r.com
2 John J#j.com
LoyaltyPointTable:
LoyaltyPointsId LoyaltyType Points
---------------------------------------
1 Registration 10
2 Loginstatus 1
3 Downloading 10
4 Redemming 1
5 Sharing 20
6 Refer 10
LoyaltyDetailsTable:
LoyaltyDetailsId LoyaltyPointsId CustomerId Dates
-------------------------------------------------
1 1 1 2015-01-22
2 2 1 2015-01-22
3 3 2 2015-01-22
4 3 1 2015-01-22
5 4 1 2015-01-22
6 4 1 2015-01-24
7 5 1 2015-01-24
This query works fine for the total sum for each LoyaltyType
SELECT
LoayaltyPointsTable.LoyaltyType,
COUNT(CustomerTable.CustomerId) AS UserActions,
SUM(LoayaltyPointsTable.Points) AS TotalPoints
FROM
LoayaltyPointsTable
JOIN
LoyaltyDetailsTable ON LoayaltyPointsTable.LoyaltyPointsId = LoyaltyDetailsTable.LoyaltyPointsId
JOIN
CustomerTable ON CustomerTable.CustomerId = LoyaltyDetailsTable.CustomerId
WHERE
CustomerTable.CustomerId = 1
GROUP BY
LoyaltyDetailsTable.CustomerId ,LoayaltyPointsTable.LoyaltyType
below RedeemPointsTable is created with relation to row redeeming in LoyaltyPointTable:
RedeemPointsTable:
RedeemPointsId CustomerId ShopName BillNo Amount
------------------------------------------------
1 1 Mall x 4757 100
3 1 Mall y SH43 50
4 1 Mall x 7743 10
6 1 Mall x s34a 60
What I am expecting is before calculating the total sum, I want column Amount sum (100+50+10+60) * 1 in Redeeming in LoyaltyPointTable to be added with total points for each CustomerId
Expected output
LoyaltyType UserActions TotalPoints
-------------------------------------
Downloading 1 10
Loginstatus 1 1
Redemming 4 (100+50+10+60)*1(here using Amount in RedeemPointsTable)
Refer 1 10
Registration 1 10
Sharing 1 20
User actions count is 4, it is based on the Amount he entered in RedeemPointsTable
Should I need to make changes in adding a foreign key column in RedeemPointsTable or can you point out my mistake?
Any help would be great.
This is the query which returns desired result:
SELECT
LoyaltyPointTable.LoyaltyType,
CASE
WHEN LoyaltyPointTable.LoyaltyPointsId=4 THEN (SELECT COUNT(amount) FROM RedeemPointsTable where CustomerId=1)
ELSE COUNT(CustomerTable.CustomerId)
END as UserActions,
CASE
WHEN LoyaltyPointTable.LoyaltyPointsId=4 THEN (SELECT SUM(amount) FROM RedeemPointsTable where CustomerId=1)*Points
ELSE SUM(LoyaltyPointTable.Points)
END as TotalPoints
FROM
LoyaltyPointTable
JOIN
LoyaltyDetailsTable ON LoyaltyPointTable.LoyaltyPointsId = LoyaltyDetailsTable.LoyaltyPointsId
JOIN
CustomerTable ON CustomerTable.CustomerId = LoyaltyDetailsTable.CustomerId
WHERE
CustomerTable.CustomerId = 1
GROUP BY
LoyaltyDetailsTable.CustomerId ,LoyaltyPointTable.LoyaltyType
You can check it here
I wrote a cursor where I needed to copy some rows and insert it into a table with only 1 column different. Say for example I have a table A like this
Id | CID | Country
1 X A
2 X B
3 X C
'Id' in this table is auto increment and primary key and Country is the countries visited by that CID. So when I was asked to update the table where every country visited by CID 'X' has also been visited by CID 'Y'. I wrote a cursor and did an insert into with CID 'Y' and the Country. After I executed my cursor, table A became this:
Id | CID | Country
1 X A
2 X B
3 X C
4 Y A
5 Y B
6 Y C
Now there is another table B that is as follows, where AId is the foreign key referencing Id in A.
AId | AgeOfKids
1 20
1 23
1 28
2 21
2 24
2 29
3 22
3 25
I want to be able to add rows to this table such that it becomes:
AId | AgeOfKids
1 20
1 23
1 28
2 21
2 24
2 29
3 22
3 25
4 20
4 23
4 28
5 21
5 24
5 29
6 22
6 25
To explain in words, the AIds that have the same countries in table A must have the same BeIds in table B. Is it possible to accomplish this? Is so, how can I accomplish this?
Use the OUTPUT clause:
declare #t table (Id int not null,Country char(1) not null)
insert into TableA (CID,Country)
output inserted.id,inserted.Country into #t
select 'Y',Country from TableA where CID = 'X'
And then (should be part of the same batch as the above):
insert into TableB (AId,AgeOfKids)
select t.ID,b.AgeOfKids
from #t t
inner join
TableA a
on
t.Country = a.Country and
a.CID = 'X'
inner join
TableB b
on
a.ID = b.AId
To populate table B.