I hope someone could guide in the correct path . It's my first class in SQL.
SELECT distinct
a.LICENSEID,
a.license,
a.business_name,
a,year
a.TOTAL_AMOUNT_PAID,
SUM(e.COMPUTED_AMOUNT) over (partition by e.LICENSEID) as AMOUNT_OWNED,
FROM vw_business AS a
INNER JOIN vw_fees AS e ON e.LICENSEID = a.LICENSEID
WHERE LICENSE = '1000'
AND(e.STATUS='BILLED' OR e.STATUS='PAID')
This will give me a result like this:
LICENSEID LICENSE BUSINESS_NAME YEAR TOTAL_AMOUT_PAID AMOUNT_OWNED
1CA6918B 1000 CORTANA 2016 0.00 1000.00
EE6DBDD0 1000 CORTANA 2017 1000.00 1000.00
Basically, I want to add another column to calculate the Total Balance which should be the difference between AMOUNT_OWNED and TOTAL_AMOUNT_PAID. I tried adding another line after SUM like this:
(AMOUNT_OWNED - TOTAL_AMOUNT_PAID) AS TOTAL_BALANCED,
However, I get an error that doesn't recognized the TOTAL_BALANCED. I also tried adding the entire line of the SUM again with no luck.
Can you guys guide in the correct path? If this is possible. Thank you.
Alias names cannot be referred in same select query. You need to write the sum over() window aggregate again to find difference
Try this way
SELECT DISTINCT a.LICENSEID,
a.license,
a.business_name,
a.year, -- Here it is should be . instead of ,
a.TOTAL_AMOUNT_PAID,
Sum(e.COMPUTED_AMOUNT)OVER (partition BY e.LICENSEID) AS AMOUNT_OWNED,
a.TOTAL_AMOUNT_PAID - Sum(e.COMPUTED_AMOUNT)
OVER (
partition BY e.LICENSEID) AS TOTAL_BALANCED
FROM vw_business AS a
INNER JOIN vw_fees AS e
ON e.LICENSEID = a.LICENSEID
WHERE LICENSE = '1000'
AND e.STATUS IN ( 'BILLED', 'PAID' ) -- use IN clause
or use derived table, this is a better option when the expression is big. Query will be more readable
SELECT LICENSEID,
license,
business_name,
year,
TOTAL_AMOUNT_PAID,
AMOUNT_OWNED,
TOTAL_AMOUNT_PAID - AMOUNT_OWNED as TOTAL_BALANCED
FROM (SELECT DISTINCT a.LICENSEID,
a.license,
a.business_name,
a.year,-- Here it is should be . instead of ,
a.TOTAL_AMOUNT_PAID,
Sum(e.COMPUTED_AMOUNT)OVER (partition BY e.LICENSEID) AS AMOUNT_OWNED
FROM vw_business AS a
INNER JOIN vw_fees AS e
ON e.LICENSEID = a.LICENSEID
WHERE LICENSE = '1000'
AND e.STATUS IN ( 'BILLED', 'PAID' ) -- use IN clause
) a
Related
I have run into an issue I don't know how to solve. I'm working with a MS Access DB.
I have this data:
I want to write a SELECT statement, that gives the following result:
For each combination of Project and Invoice, I want to return the record containing the maximum date, conditional on all records for that combination of Project and Invoice being Signed (i.e. Signed or Date column not empty).
In my head, first I would sort the irrelevant records out, and then return the max date for the remaining records. I'm stuck on the first part.
Could anyone point me in the right direction?
Thanks,
Hulu
Start with an initial query which fetches the combinations of Project, Invoice, Date from the rows you want returned by your final query.
SELECT
y0.Project,
y0.Invoice,
Max(y0.Date) AS MaxOfDate
FROM YourTable AS y0
GROUP BY y0.Project, y0.Invoice
HAVING Sum(IIf(y0.Signed Is Null,1,0))=0;
The HAVING clause discards any Project/Invoice groups which include a row with a Null in the Signed column.
If you save that query as qryTargetRows, you can then join it back to your original table to select the matching rows.
SELECT
y1.Project,
y1.Invoice,
y1.Desc,
y1.Value,
y1.Signed,
y1.Date
FROM
YourTable AS y1
INNER JOIN qryTargetRows AS sub
ON (y1.Project = sub.Project)
AND (y1.Invoice = sub.Invoice)
AND (y1.Date = sub.MaxOfDate);
Or you can do it without the saved query by directly including its SQL as a subquery.
SELECT
y1.Project,
y1.Invoice,
y1.Desc,
y1.Value,
y1.Signed,
y1.Date
FROM
YourTable AS y1
INNER JOIN
(
SELECT y0.Project, y0.Invoice, Max(y0.Date) AS MaxOfDate
FROM YourTable AS y0
GROUP BY y0.Project, y0.Invoice
HAVING Sum(IIf(y0.Signed Is Null,1,0))=0
) AS sub
ON (y1.Project = sub.Project)
AND (y1.Invoice = sub.Invoice)
AND (y1.Date = sub.MaxOfDate);
Write A SQL query, which should be possible in MS-Access too, like this:
SELECT
Project,
Invoice,
MIN([Desc]) Descriptions,
SUM(Value) Value,
MIN(Signed) Signed,
MAX([Date]) "Date"
FROM data
WHERE Signed<>'' AND [Date]<>''
GROUP BY
Project,
Invoice
output:
Project
Invoice
Descriptions
Value
Signed
Date
A
1
Ball
100
J.D.
2022-09-20
B
1
Sofa
300
J.D.
2022-09-22
B
2
Desk
100
J.D.
2022-09-23
Note: for invoice 1 on project A, you will see a value of 300, which is the total for that invoice (when grouping on Project='A' and Invoice=1).
Maybe I should have used DCONCAT (see: Concatenation in between records in Access Query ) for the Description, to include 'TV' in it. But I am unable to test that so I am only referring to this answer.
Try joining a second query:
Select *
From YourTable As T
Inner Join
(Select Project, Invoice, Max([Date]) As MaxDate
From YourTable
Group By Project, Invoice) As S
On T.Project = S.Project And T.Invoice = S.Invoice And T.Date = S.MaxDate
I need to find the last P.O.for parts purchased from Vendors.
I was trying to come up with a way to do this using a query I found that allowed me to find
the max Creation date for a group of Quotes linked to an Opportunity:
SELECT
t1.[quoteid]
,t1.[OpportunityId]
,t1.[Name]
FROM
[Quote] t1
WHERE
t1.[CreatedOn] = (SELECT MAX(t2.[CreatedOn])
FROM [Quote] t2
WHERE t2.[OpportunityId] = t1.[OpportunityId])
In the case of Purchase Orders, though, I have a header table and a line item table.
So, I need to include info from both:
SELECT
PURCHASE_ORDER.ORDER_DATE
,PURC_ORDER_LINE.PURC_ORDER_ID
,PURC_ORDER_LINE.PART_ID
,PURC_ORDER_LINE.UNIT_PRICE
,PURC_ORDER_LINE.USER_ORDER_QTY
FROM
PURCHASE_ORDER,
PURC_ORDER_LINE
WHERE
PURCHASE_ORDER.ID=
PURC_ORDER_LINE.PURC_ORDER_ID
If the ORDER_DATE from the header were available in the PURC_ORDER_LINE table I thought
this could be done like so:
SELECT
PURC_ORDER_LINE.ORDER_DATE
,PURC_ORDER_LINE.PURC_ORDER_ID
,PURC_ORDER_LINE.PART_ID
,PURC_ORDER_LINE.UNIT_PRICE
,PURC_ORDER_LINE.USER_ORDER_QTY
FROM
PURC_ORDER_LINE T1
WHERE T1.ORDER_DATE=(SELECT MAX(T2.ORDER_DATE)
FROM PURC_ORDER_LINE T2
WHERE T2.PURC_ORDER_ID=T1.PURC_ORDER_ID)
But I'm not sure that's correct and, in any case, there are 2 things:
The ORDER_DATE is in the Header table, not in the line table
I need the last P.O. created for each of the Parts (PART_ID)
So:
PART_A and PART_B, as an example, may appear on several P.O.s
Part
Order Date
P.O. #
PART_A
2020-08-17
PO12345
PART_A
2020-11-21
PO23456
PART_A
2021-07-08
PO29986
PART_B
2019-11-30
PO00861
PART_B
2021-08-30
PO30001
The result set would be (including the other fields from above):
ORDER_DATE
PURC_ORDER_ID
PART_ID
UNIT_PRICE
ORDER_QTY
2021-07-08
PO29986
PART_A
321.00
12
2021-08-30
PO30001
PART_B
426.30
8
I need a query that will give me such a result set.
You can use row-numbering for this. Just place the whole join inside a subquery (derived table), add a row-number, then filter on the outside.
SELECT *
FROM (
SELECT
pol.PART_ID,
po.ORDER_DATE,
pol.PURC_ORDER_ID,
pol.UNIT_PRICE,
pol.USER_ORDER_QTY,
rn = ROW_NUMBER() OVER (PARTITION BY pol.PART_ID ORDER BY po.ORDER_DATE DESC)
FROM PURCHASE_ORDER po
JOIN PURC_ORDER_LINE pol ON po.ID = pol.PURC_ORDER_ID
) po
WHERE po.rn = 1;
Note the use of proper join syntax, as well as table aliases
you can use window function:
select * from (
select * , row_number() over (partition by PART_ID order by ORDER_DATE desc) rn
from tablename
) t where t.rn = 1
I have two datasets hosted in Snowflake with social media follower counts by day. The main table we will be using going forward (follower_counts) shows follower counts by day:
This table is live as of 4/4/2020 and will be updated daily. Unfortunately, I am unable to get historical data in this format. Instead, I have a table with historical data (follower_gains) that shows net follower gains by day for several accounts:
Ideally - I want to take the follower_count value from the minimum date in the current table (follower_counts) and subtract the sum of gains (organic + paid gains) for each day, until the minimum date of the follower_gains table, to fill in the follower_count historically. In addition, there are several accounts with data in these tables, so it would need to be grouped by account. It should look like this:
I've only gotten as far as unioning these two tables together, but don't even know where to start with looping through these rows:
WITH a AS (
SELECT
account_id,
date,
organizational_entity,
organizational_entity_type,
vanity_name,
localized_name,
localized_website,
organization_type,
total_followers_count,
null AS paid_follower_gain,
null AS organic_follower_gain,
account_name,
last_update
FROM follower_counts
UNION ALL
SELECT
account_id,
date,
organizational_entity,
organizational_entity_type,
vanity_name,
localized_name,
localized_website,
organization_type,
null AS total_followers_count,
organic_follower_gain,
paid_follower_gain,
account_name,
last_update
FROM follower_gains)
SELECT
a.account_id,
a.date,
a.organizational_entity,
a.organizational_entity_type,
a.vanity_name,
a.localized_name,
a.localized_website,
a.organization_type,
a.total_followers_count,
a.organic_follower_gain,
a.paid_follower_gain,
a.account_name,
a.last_update
FROM a
ORDER BY date desc LIMIT 100
UPDATE: Changed union to union all and added not exists to remove duplicates. Made changes per the comments.
NOTE: Please make sure you don't post images of the tables. It's difficult to recreate your scenario to write a correct query. Test this solution and update so that I can make modifications if necessary.
You don't loop through in SQL because its not a procedural language. The operation you define in the query is performed for all the rows in a table.
with cte as (SELECT a.account_id,
a.date,
a.organizational_entity,
a.organizational_entity_type,
a.vanity_name,
a.localized_name,
a.localized_website,
a.organization_type,
(a.follower_count - (b.organic_gain+b.paid_gain)) AS follower_count,
a.account_name,
a.last_update,
b.organic_gain,
b.paid_gain
FROM follower_counts a
JOIN follower_gains b ON a.account_id = b.account_id
AND b.date < (select min(date) from
follower_counts c where a.account.id = c.account_id)
)
SELECT b.account_id,
b.date,
b.organizational_entity,
b.organizational_entity_type,
b.vanity_name,
b.localized_name,
b.localized_website,
b.organization_type,
b.follower_count,
b.account_name,
b.last_update,
b.organic_gain,
b.paid_gain
FROM cte b
UNION ALL
SELECT a.account_id,
a.date,
a.organizational_entity,
a.organizational_entity_type,
a.vanity_name,
a.localized_name,
a.localized_website,
a.organization_type,
a.follower_count,
a.account_name,
a.last_update,
NULL as organic_gain,
NULL as paid_gain
FROM follower_counts a where not exists (select 1 from
follower_gains c where a.account_id = c.account_id AND a.date = c.date)
You could do something like this, instead of using the variable you can just wrap it another bracket and write at end ) AS FollowerGrowth
DECLARE #FollowerGrowth INT =
( SELECT total_followers_count
FROM follower_gains
WHERE AccountID = xx )
-
( SELECT TOP 1 follower_count
FROM follower_counts
WHERE AccountID = xx
ORDER BY date ASCENDING )
I am trying to select max date record for each service_user_id for each finance_charge_id and the amount that is linked the highest date
select distinct
s.Finance_Charge_ID, MAX(s.start_date), s.Amount
from
Service_User_Finance_Charges s
where
s.Service_User_ID = '156'
group by
s.Finance_Charge_ID, s.Amount
The issue is that I receive multiple entries where the amount is different. I only want to receive the amount on the latest date for each finance_charge_id
At the moment I receive the below which is incorrect (the third line should not appear as the 1st line has a higher date)
Finance_Charge_ID (No column name) Amount
2 2014-10-19 1.00
3 2014-10-16 500.00
2 2014-10-01 1000.00
Remove the Amount column from the group by to get the correct rows. You can then join that query onto the table again to get all the data you need. Here is an example using a CTE to get the max dates:
WITH MaxDates_CTE (Finance_Charge_ID, MaxDate) AS
(
select s.Finance_Charge_ID,
MAX(s.start_date) MaxDate
from Service_User_Finance_Charges s
where s.Service_User_ID = '156'
group by s.Finance_Charge_ID
)
SELECT *
FROM Service_User_Finance_Charges
JOIN MaxDates_CTE
ON MaxDates_CTE.Finance_Charge_ID = Service_User_Finance_Charges.Finance_Charge_ID
AND MaxDates_CTE.MaxDate = Service_User_Finance_Charges.start_date
This can be done using a window function which removes the need for a self join on the grouped data:
select Finance_Charge_ID,
start_date,
amount
from (
select s.Finance_Charge_ID,
s.start_date,
max(s.start_date) over (partition by s.Finance_Charge_ID) as max_date,
s.Amount
from Service_User_Finance_Charges s
where s.Service_User_ID = 156
) t
where start_date = max_date;
As the window function does not require you to use group by you can add any additional column you need in the output.
Here is the question and database info.
Use the UNION command to prepare a full statement for customer 'C001' - it should be laid out as follows. (Note that the values shown below are not correct.) You may be able to use '' or NULL for blank values - if necessary use 0.
Here is a link to the webpage with the database info. http://sqlzoo.net/5_0.htm or see the image below.
Here is what I have tried:
SELECT sdate AS LineDate, "delivery" AS LEGEND, price*quantity AS Total,"" AS Amount
FROM shipped
JOIN product ON (shipped.product=product.id)
WHERE badguy='C001'
UNION
SELECT rdate,notes, "",receipt.amount
FROM receipt
WHERE badguy='C001'
Here is what I get back:
Wrong Answer. The correct answer has 5 row(s).
The amounts don't seem right in the amount column and I can't figure out how to order the data by the date since it is using two different date columns (sdate and rdate which are UNIONED).
Looks like the data in the example is being aggregated by date and charge type using group by, that's why you are getting too many rows.
Also, you can sort by the alias of the column (LineDate) and the order by clause will apply to all the rows in the union.
SELECT sdate AS LineDate, "delivery" AS LEGEND, SUM(price*quantity) AS Total,"" AS Amount
FROM shipped
JOIN product ON (shipped.product=product.id)
WHERE badguy='C001'
GROUP BY sdate
UNION
SELECT rdate, notes, "",receipt.amount
FROM receipt
WHERE badguy='C001'
ORDER BY LineDate
It's usually easiest to develop each part of the union separately. Pay attention to the use of "null" to separate the monetary columns. The first select gets to name the columns.
select s.sdate as tr_date, 'Delivery' as type, sum((s.quantity * p.price)) as extended_price, null as amount
from shipped s
inner join product p on p.id = s.product
where badguy = 'C001'
group by s.sdate
union all
select rdate, notes, null, sum(amount)
from receipt
where badguy = 'C001'
group by rdate, notes
order by tr_date