Hi guys I hope you can help me, How do I pair the same record but also I want to select the record that has no pair like the 95 in the credit.
Here is my code I can actually pair the same record on Debit and Credit but also I want to show the record that has no pair.
select
A."ShortName" as "BP Code",
A."LineMemo" as "Remarks",
A."Debit",
A."Credit",
B."LineMemo" as "Remarks",
B."Debit",
B."Credit"
from JDT1 A
inner join
(
select
"ShortName",
"LineMemo",
"Debit",
"Credit"
from "JDT1" where "TransType" = '18' /*A/P Invoices*/
) B on A."Debit" = B."Credit" and A."ShortName" = B."ShortName"
Where "TransType" = '46' /*Outgoing Payments*/
and A."ShortName" = 'D-0003'
and A."RefDate" between '2020-01-01' and '2020-12-31'
Result:
Related
The following query gives me the MRR (monthly recurring revenue) for my customer:
with dims as (
select distinct subscription_id, country_name, product_name from revenue
where site_id = '18XLsHIVSJg' and subscription_id is not null
)
select to_date('2022-07-01') as occurred_date,
count(distinct srm.subscription_id) as subscriptions,
count(distinct srm.receiver_contact) as subscribers,
sum(srm.baseline_mrr) as mrr_srm
from subscription_revenue_mart srm
join dims d on d.subscription_id = srm.subscription_id
where srm.site_id = '18XLsHIVSJg'
-- MRR as of the day before ie June 30th
and to_date(srm.creation_date) < '2022-07-01'
-- Counting the subscriptions active after July 1st
and ((srm.subscription_status = 'SUBL.A') or
-- Counting the subscriptions canceled/deactivated after July 1st
(srm.subscription_status = 'SUBL.C' and (srm.deactivation_date >= '2022-07-01') or (srm.canceled_date >= '2022-07-01')) ) group by 1;
I get a total of $5922.15 but I need to add data from another table to capture upgrades/downgrades a customer makes on a product subscription. Using the same approach as above, I can query my "change" table thusly:
select subscription_id, sum(mrr_change_amount) mrr_change_amount,max(subscription_event_date) subscription_event_date from subscription_revenue_mart_change srmc
where site_id = '18XLsHIVSJg'
and to_date(srmc.creation_date) < '2022-07-01'
and ((srmc.subscription_status = 'SUBL.A')
or (srmc.subscription_status = 'SUBL.C' and (srmc.deactivation_date >= '2022-07-01') or (srmc.canceled_date >= '2022-07-01')))
group by 1;
I get a total of $3635.47
When I combine both queries into one, I get an inflated result:
with dims as (
select distinct subscription_id, country_name, product_name from revenue
where site_id = '18XLsHIVSJg' and subscription_id is not null
),
change as (
select subscription_id, sum(mrr_change_amount) mrr_change_amount,
-- there can be multiple changes per subscription
max(subscription_event_date) subscription_event_date from subscription_revenue_mart_change srmc
where site_id = '18XLsHIVSJg'
and to_date(srmc.creation_date) < '2022-07-01'
and ((srmc.subscription_status = 'SUBL.A')
or (srmc.subscription_status = 'SUBL.C' and (srmc.deactivation_date >= '2022-07-01') or (srmc.canceled_date >= '2022-07-01')))
group by 1
)
select to_date('2022-07-01') as occurred_date,
count(distinct srm.subscription_id) as subscriptions,
count(distinct srm.receiver_contact) as subscribers,
-- See comment RE: LEFT OUTER join
sum(coalesce(c.mrr_change_amount,srm.baseline_mrr)) as mrr
from subscription_revenue_mart srm
join dims d
on d.subscription_id = srm.subscription_id
-- LEFT OUTER join required for customers that never made a change
left outer join change c
on srm.subscription_id = c.subscription_id
where srm.site_id = '18XLsHIVSJg'
and to_date(srm.creation_date) < '2022-07-01'
and ((srm.subscription_status = 'SUBL.A')
or (srm.subscription_status = 'SUBL.C' and (srm.deactivation_date >= '2022-07-01') or (srm.canceled_date >= '2022-07-01'))) group by 1;
It should be $9557.62 ie (5922.15 + $3635.47) but the query outputs $16116.91, which is wrong.
I think the explode-implode syndrome may cause this.
I had designed my "change" CTE to prevent this by aggregating all the relevant fields but it's not working.
Can someone provide pointers on the best way to work around this issue?
It would help if you gave us sample data too, but I see a problem here:
sum(coalesce(c.mrr_change_amount,srm.baseline_mrr)) as mrr
Why COALESCE? That will give you one of the 2 numbers, but I guess what you want is:
sum(ifnull(c.mrr_change_amount, 0) + srm.baseline_mrr) as mrr
That's the best I can offer with what you've given us.
If I run the following query, it results in 1.6M rows:
SELECT
customer_id,
credit_id,
date
FROM
wallet
WHERE
credit_title = 'Topups'
AND credit_type = 'Credit Card Topups'
AND day >= DATE '2017-11-06'
AND day <= DATE '2020-04-03'
I am now trying to, for each row in the above query, get the count and total amount of all credit transactions for that customer up to the date of the row. I have tried the below query (which is a join with itself), but this results in 1.3M rows. Why are rows being dropped in the join? credit_id is a unique identifier in this table.
SELECT
customer_id,
credit_id,
COALESCE(COUNT(wallet_agg.credit_id), 0) AS topup_count_to_date,
COALESCE(SUM(wallet_agg.credit_amt_usd), 0) AS topup_amount_to_date
FROM
wallet
LEFT JOIN
wallet AS wallet_agg
ON
wallet.customer_id = wallet_agg.customer_id
AND wallet_agg.date < wallet.date
WHERE
wallet.credit_title = 'Topups'
AND wallet.credit_type = 'Credit Card Topups'
AND wallet.day >= DATE '2017-11-06'
AND wallet.day <= DATE '2020-04-03'
AND wallet_agg.credit_title = 'Topups'
AND wallet_agg.credit_type = 'Credit Card Topups'
Here is a simple demo of what I am trying, which gets the result I am expecting. How is the logic of my more complex query above different?
Your JOIN is being turned into an inner join by the WHERE conditions. You need to move the conditions on the second table into the ON clause:
FROM wallet LEFT JOIN
wallet AS wallet_agg
ON wallet.customer_id = wallet_agg.customer_id AND
wallet_agg.date < wallet.date AND
wallet_agg.credit_title = 'Topups'
wallet_agg.credit_type = 'Credit Card Topups'
WHERE wallet.credit_title = 'Topups' AND
wallet.credit_type = 'Credit Card Topups' AND
wallet.day >= DATE '2017-11-06' AND
wallet.day <= DATE '2020-04-03'
Of course, aggregation is way over-kill for this problem. You should just use window functions:
SELECT w.*
FROM (SELECT w.customer_id, w.credit_id, w.date,
COUNT(*) OVER (PARTITION BY customer_id, credit_title, credit_type ORDER BY date) as topup_count_to_date,
SUM(amount) OVER (PARTITION BY customer_id, credit_title, credit_type ORDER BY date) as topup_amount_to_date
FROM wallet w
WHERE w.credit_title = 'Topups' AND
w.credit_type = 'Credit Card Topups'
) w
WHERE w.day >= DATE '2017-11-06' AND
w.day <= DATE '2020-04-03';
I have two tables, INVOICES and INV_PRICES. I am trying to find the Invoice table's part price from the Inv_Prices based upon the Invoice_Dt on the Invoice table; if the Invoice_Dt is between (greater than, but less than) or greater than the max EFF_DT on the Inv_Prices, then return that part's price.
I have tired variations on the following code, but no luck. I either do not get all the parts or multiple records.
SELECT DISTINCT A.INVOICE_NBR, A.INVOICE_DT, A.PART_NO,
CASE WHEN TRUNC(A.INVOICE_DT) >= TRUNC(B.EFF_DT) THEN B.DLR_NET_PRC_AM
WHEN (TRUNC(A.INVOICE_DT)||ROWNUM >= TRUNC(B.EFF_DT)||ROWNUM) AND (TRUNC(B.EFF_DT)||ROWNUM <= TRUNC(A.INVOICE_DT)||ROWNUM) THEN B.DLR_NET_PRC_AM
/*MAX(B.EFF_DT) THEN B.DLR_NET_PRC_AM*/
ELSE 0
END AS PRICE
FROM INVOICES A,
INV_PRICES B
WHERE A.PART_NO = B.PART_NO
ORDER BY A.INVOICE_NBR
Can someone assist? I have a sample of each table if needed.
Doesn't it work to put the condition in the JOIN conditions? You can calculate the period when a price is valid using LEAD():
SELECT i.INVOICE_NBR, i.INVOICE_DT, i.PART_NO,
COALESCE(ip.DLR_NET_PRC_AM, 0) as price
FROM INVOICES i LEFT JOIN
(SELECT ip.*, LEAD(eff_dt) OVER (PARTITION BY PART_NO ORDER BY eff_dt) as next_eff_dt
FROM INV_PRICES ip
) ip
ON i.PART_NO = ip.PART_NO AND
i.invoice_dt >= ip.eff_dt AND
(i.invoice_dt < ip.next_eff_dt or ip.next_eff_dt is null)
ORDER BY i.INVOICE_NBR
First off sorry for the poor subject line.
EDIT: The Query here duplicates OrderNumbers I am needing the query to NOT duplicate OrderNumbers
EDIT: Shortened the question and provided a much cleaner question
I have a table that has a record of all of the work orders that have been performed. there are two types of orders. Installs and Trouble Calls. My query is to find all of the trouble calls that have taken place within 30 days of an install and match that trouble call (TC) to the proper Install (IN). So the Trouble Call date has to happen after the install but no more than 30 days after. Additionally if there are two installs and two trouble calls for the same account all within 30 days and they happen in order the results have to reflect that. The problem I am having is I am getting an Install order matching to two different Trouble Calls (TC) and a Trouble Call(TC) that is matching to two different Installs(IN)
In the example on SQL Fiddle pay close attention to the install order number 1234567810 and the Trouble Call order number 1234567890 and you will see the issue I am having.
http://sqlfiddle.com/#!3/811df/8
select b.accountnumber,
MAX(b.scheduleddate) as OriginalDate,
b.workordernumber as OriginalOrder,
b.jobtype as OriginalType,
MIN(a.scheduleddate) as NewDate,
a.workordernumber as NewOrder,
a.jobtype as NewType
from (
select workordernumber,accountnumber,jobtype,scheduleddate
from workorders
where jobtype = 'TC'
) a join
(
select workordernumber,accountnumber,jobtype,scheduleddate
from workorders
where jobtype = 'IN'
) b
on a.accountnumber = b.accountnumber
group by b.accountnumber,
b.scheduleddate,
b.workordernumber,
b.jobtype,
a.accountnumber,
a.scheduleddate,
a.workordernumber,
a.jobtype
having MIN(a.scheduleddate) > MAX(b.scheduleddate) and
DATEDIFF(day,MAX(b.scheduleddate),MIN(a.scheduleddate)) < 31
Example of what I am looking for the results to look like.
Thank you for any assistance you can provide in setting me on the correct path.
You were actually very close. I realized that what you really want is the MIN() TC date that is greater than each install date for that account number so long as they are 30 days or less apart.
So really you need to group by the install dates from your result set excluding WorkOrderNumbers still. Something like:
SELECT a.AccountNumber, MIN(a.scheduleddate) TCDate, b.scheduleddate INDate
FROM
(
SELECT WorkOrderNumber, ScheduledDate, JobType, AccountNumber
FROM workorders
WHERE JobType = 'TC'
) a
INNER JOIN
(
SELECT WorkOrderNumber, ScheduledDate, JobType, AccountNumber
FROM workorders
WHERE JobType = 'IN'
) b
ON a.AccountNumber = b.AccountNumber
WHERE b.ScheduledDate < a.ScheduledDate
AND DATEDIFF(DAY, b.ScheduledDate, a.ScheduledDate) <= 30
GROUP BY a.AccountNumber, b.AccountNumber, b.ScheduledDate
This takes care of the dates and AccountNumbers, but you still need the WorkOrderNumbers, so I joined the workorders table back twice, once for each type.
NOTE: I assume that each workorder has a unique date for each account number. So, if you have workorder 1 ('TC') for account 1 done on '1/1/2015' and you also have workorder 2 ('TC') for account 1 done on '1/1/2015' then I can't guarantee that you will have the correct WorkOrderNumber in your result set.
My final query looked like this:
SELECT
aggdata.AccountNumber, inst.workordernumber OriginalWorkOrderNumber, inst.JobType OriginalJobType, inst.ScheduledDate OriginalScheduledDate,
tc.WorkOrderNumber NewWorkOrderNumber, tc.JobType NewJobType, tc.ScheduledDate NewScheduledDate
FROM (
SELECT a.AccountNumber, MIN(a.scheduleddate) TCDate, b.scheduleddate INDate
FROM
(
SELECT WorkOrderNumber, ScheduledDate, JobType, AccountNumber
FROM workorders
WHERE JobType = 'TC'
) a
INNER JOIN
(
SELECT WorkOrderNumber, ScheduledDate, JobType, AccountNumber
FROM workorders
WHERE JobType = 'IN'
) b
ON a.AccountNumber = b.AccountNumber
WHERE b.ScheduledDate < a.ScheduledDate
AND DATEDIFF(DAY, b.ScheduledDate, a.ScheduledDate) <= 30
GROUP BY a.AccountNumber, b.AccountNumber, b.ScheduledDate
) aggdata
LEFT OUTER JOIN workorders tc
ON aggdata.TCDate = tc.ScheduledDate
AND aggdata.AccountNumber = tc.AccountNumber
AND tc.JobType = 'TC'
LEFT OUTER JOIN workorders inst
ON aggdata.INDate = inst.ScheduledDate
AND aggdata.AccountNumber = inst.AccountNumber
AND inst.JobType = 'IN'
select in1.accountnumber,
in1.scheduleddate as OriginalDate,
in1.workordernumber as OriginalOrder,
'IN' as OriginalType,
tc.scheduleddate as NewDate,
tc.workordernumber as NewOrder,
'TC' as NewType
from
workorders in1
out apply (Select min(in2.scheduleddate) as scheduleddate from workorders in2 Where in2.jobtype = 'IN' and in1.accountnumber=in2.accountnumber and in2.scheduleddate>in1.scheduleddate) ins
join workorders tc on tc.jobtype = 'TC' and tc.accountnumber=in1.accountnumber and tc.scheduleddate>in1.scheduleddate and (ins.scheduleddate is null or tc.scheduleddate<ins.scheduleddate) and DATEDIFF(day,in1.scheduleddate,tc.scheduleddate) < 31
Where in1.jobtype = 'IN'
Hi i have a query which i need to show the number of transactions a user made,per day with the EUR equivalent of each transaction.
The query below does do that (find the eur equivalent by getting an average rate) but because the currencies are different i get the results by currency instead and not by total. what the query returns is:
Numb Transactions,Date, userid,transaction_type,total value (per currency),eur_equiv
1 12/12, 2, test 5 10
2 12/12,2, test 2 2
whereas i want it to return
Numb Transactions,Date, userid,transaction_type,total value (per currency),eur_equiv
1 12/12, 2, test 7 12
the query is shown below
SELECT COUNT(DISTINCT(ot.ID)) AS 'TRANSACTION COUNTER'
,CONVERT(VARCHAR(10) ,ot.CREATED_ON ,103) AS [DD/MM/YYYY]
,lad.ci
,ot.TRA_TYPE
,c.C_CODE
,CASE
WHEN op.CURRENCY_ID='CURRENCY-002' THEN SUM(CAST(op.IT_AMOUNT AS MONEY))
/(
SELECT AVG(CAST(cr.B_RATE AS MONEY)) AS AVG_RATE
FROM C_RATE cr
WHERE cr.CURRENCY_ID = 'CURRENCY-002'
)
WHEN op.CURRENCY_ID='-CURRENCY-005' THEN SUM(CAST(op.IT_AMOUNT AS MONEY))
/(
SELECT AVG(CAST(cr.B_RATE AS MONEY)) AS AVG_RATE
FROM C_RATE cr
WHERE cr.CURRENCY_ID = 'CURRENCY-005'
)
WHEN op.CURRENCY_ID='CURRENCY-006' THEN SUM(CAST(op.IT_AMOUNT AS MONEY))
/(
SELECT AVG(CAST(cr.B_RATE AS MONEY)) AS AVG_RATE
FROM C_RATE cr
WHERE cr.CURRENCY_ID = 'CURRENCY-006'
)
ELSE '0'
END AS EUR_EQUIVAL
FROM TRANSACTION ot
INNER JOIN PAYMENT op
ON op.ID = ot.ID
INNER JOIN CURRENCY c
ON op.CURRENCY_ID = c.ID
INNER JOIN ACCOUNT a
ON a.ID = ot.ACCOUNT_ID
INNER JOIN ACCOUNT_DETAIL lad
ON lad.A_NUMBER = a.A_NUMBER
INNER JOIN CUST cus
ON lad.CI = cus.CI
WHERE ot.TRA_TYPE_ID IN ('INBANK-TYPE'
,'IN-AC-TYPE'
,'DOM-TRANS-TYPE')
AND ot.STATUS_ID = 'COMPLETED'
AND cus.BRANCH IN ('123'
,'456'
,'789'
,'789')
GROUP BY
lad.CI
,CONVERT(VARCHAR(10) ,ot.CREATED_ON ,103)
,c.C_CODE
,op.CURRENCY_ID
,ot.TRAN_TYPE_ID
HAVING SUM(CAST(op.IT_AMOUNT AS MONEY))>'250000.00'
ORDER BY
CONVERT(VARCHAR(10) ,ot.CREATED_ON ,103) ASC
SELECT MIN([Numb Transactions]
, Date
, UserID
, Transaction_type
, SUM([Total Value]
, SUM([Eur Equiv]
FROM (
... -- Your current select (without order by)
) q
GROUP BY
Date
, UserId
, Transaction_type
The problem resides most likely in a double row in your joins. What I do, is Select * first, and see what columns generate double rows. You might need to adjust a JOIN relationship for the double rows to disappear.
Without any resultsets, it's very hard to reproduce the error you are getting.
Check for the following things:
Select * returns only double rows on the data i will merge with an aggregate function. If the answer here is "NO", you will need to alter a JOIN relationship with a Subselect. I am thinking of that Account and Account detail table.
certain joins can create duplicate rows if the join cannot be unique enough. Maybe you will have to join on multiple things here, for example JOIN table1 ON table1.ID = table2.EXT_ID and table1.Contact = table2.Contact
Couple of things:
1) Consider using a function for:
SELECT AVG(CAST(cr.B_RATE AS MONEY)) AS AVG_RATE
FROM C_RATE cr
WHERE cr.CURRENCY_ID = 'CURRENCY-002' with the currencyID as a parameter
2) Would grouping sets work here?
3) was the sum on the case or on the individual whens?
sum(CASE ..) vs sum(cast(op.IT_Amount as money)