This question already has answers here:
Retrieving the last record in each group - MySQL
(33 answers)
Closed 11 months ago.
I have a table that looks like this:
date
account
asset
amount
01-01-2022
1
A
12
01-01-2022
1
B
100
02-01-2022
1
A
14
02-01-2022
1
B
98
01-01-2022
2
A
15
01-01-2022
2
C
230
02-01-2022
2
A
13
02-01-2022
2
B
223
03-01-2022
2
A
17
03-01-2022
2
B
237
I want to be able to get the last values (i.e. max date) for each account. So the result should look like this:
date
account
asset
amount
02-01-2022
1
A
14
02-01-2022
1
B
98
03-01-2022
2
A
17
03-01-2022
2
B
237
How can this be done in SQL?
EDIT: Notice that the max dates for the different accounts are not the same.
You can do it by first selecting the max dates for each account and then forcing the match between accounts given the date constraints, like in the following query:
SELECT
*
FROM
(
SELECT
MAX(date) AS date,
account
FROM
tab
GROUP BY
account
) max_date_per_account
INNER JOIN
tab
ON
tab.date = max_date_per_account.date
AND
tab.account = max_date_per_account.account
Related
I have a table named orders in a Postgres database that looks like this:
customer_id order_id order_date price product
1 2 2021-03-05 15 books
1 13 2022-03-07 3 music
1 14 2022-06-15 900 travel
1 11 2021-11-17 25 books
1 16 2022-08-03 32 books
2 4 2021-04-12 4 music
2 7 2021-06-29 9 music
2 20 2022-11-03 8 music
2 22 2022-11-07 575 travel
2 24 2022-11-20 95 food
3 3 2021-03-17 25 books
3 5 2021-06-01 650 travel
3 17 2022-08-17 1200 travel
3 19 2022-10-02 6 music
3 23 2022-11-08 70 food
4 9 2021-08-20 3200 travel
4 10 2021-10-29 2750 travel
4 15 2022-07-15 1820 travel
4 21 2022-11-05 8000 travel
4 25 2022-11-29 27 books
5 1 2021-01-04 3 music
5 6 2021-06-09 820 travel
5 8 2021-07-30 19 books
5 12 2021-12-10 22 music
5 18 2022-09-19 20 books
Here's a SQL Fiddle: http://sqlfiddle.com/#!17/262fc/1
I'd like to return the average money spent by customers per product, but only consider orders within the first 12 months of a given customer's first purchase within the given product group. (yes, this is challenging!)
For example, for customer 1, order ID 2 and order ID 11 would be factored into the average for books(because order ID 11 took place less than 12 months after customer 1's first order for books, which was order ID 2), but order ID 16 would not be factored into the average (because 8/3/22 is more than 12 months from customer 1's first purchase for books, which took place on 3/5/21).
Here is a matrix showing which orders would be included within a given product (denoted by "yes"):
The desired output would look as follows:
average_spent
books 22.20
music 7.83
travel 1530.71
food 82.50
How would I do this?
Thanks in advance for any assistance you can give!
You can use a subquery to check whether or not to include a product's price in the summation:
select o.product, sum(o.price)/count(*) val from orders o
where o.order_date < (select min(o1.order_date) from orders o1 where
o1.product = o.product and o.user_id = o1.user_id) + interval '12 months'
group by o.product
See fiddle
I need to show the number of valid inspectors we have by month over the last five years. Inspectors are considered valid when the expiration date on their certification has not yet passed, recorded as the month end date. The below SQL code is text of the query to count valid inspectors for January 2017:
SELECT Count(*) AS RecordCount
FROM dbo_Insp_Type
WHERE (dbo_Insp_Type.CERT_EXP_DTE)>=#2/1/2017#);
Rather than designing 60 queries, one for each month, and compiling the results in a final table (or, err, query) are there other methods I can use that call for less manual input?
From this sample:
Id
CERT_EXP_DTE
1
2022-01-15
2
2022-01-23
3
2022-02-01
4
2022-02-03
5
2022-05-01
6
2022-06-06
7
2022-06-07
8
2022-07-21
9
2022-02-20
10
2021-11-05
11
2021-12-01
12
2021-12-24
this single query:
SELECT
Format([CERT_EXP_DTE],"yyyy/mm") AS YearMonth,
Count(*) AS AllInspectors,
Sum(Abs([CERT_EXP_DTE] >= DateSerial(Year([CERT_EXP_DTE]), Month([CERT_EXP_DTE]), 2))) AS ValidInspectors
FROM
dbo_Insp_Type
GROUP BY
Format([CERT_EXP_DTE],"yyyy/mm");
will return:
YearMonth
AllInspectors
ValidInspectors
2021-11
1
1
2021-12
2
1
2022-01
2
2
2022-02
3
2
2022-05
1
0
2022-06
2
2
2022-07
1
1
ID
Cert_Iss_Dte
Cert_Exp_Dte
1
1/15/2020
1/15/2022
2
1/23/2020
1/23/2022
3
2/1/2020
2/1/2022
4
2/3/2020
2/3/2022
5
5/1/2020
5/1/2022
6
6/6/2020
6/6/2022
7
6/7/2020
6/7/2022
8
7/21/2020
7/21/2022
9
2/20/2020
2/20/2022
10
11/5/2021
11/5/2023
11
12/1/2021
12/1/2023
12
12/24/2021
12/24/2023
A UNION query could calculate a record for each of 50 months but since you want 60, UNION is out.
Or a query with 60 calculated fields using IIf() and Count() referencing a textbox on form for start date:
SELECT Count(IIf(CERT_EXP_DTE>=Forms!formname!tbxDate,1,Null)) AS Dt1,
Count(IIf(CERT_EXP_DTE>=DateAdd("m",1,Forms!formname!tbxDate),1,Null) AS Dt2,
...
FROM dbo_Insp_Type
Using the above data, following is output for Feb and Mar 2022. I did a test with Cert_Iss_Dte included in criteria and it did not make a difference for this sample data.
Dt1
Dt2
10
8
Or a report with 60 textboxes and each calls a DCount() expression with criteria same as used in query.
Or a VBA procedure that writes data to a 'temp' table.
I have a table abs_details that give data like follows -
PERSON_NUMBER ABS_DATE ABS_TYPE_NAME ABS_DAYS
1010 01-01-2022 PTO 1
1010 06-01-2022 PTO 0.52
1010 02-02-2022 VACATION 1
1010 03-02-2022 VACATION 0.2
1010 01-12-2021 PTO 1
1010 02-12-2021 sick 1
1010 30-12-2021 sick 1
1010 30-01-2022 SICK 1
I want this data to be displayed in the following way:
PERSON_NUMBER ABS_TYPE_NAME 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
1010 PTO 2 0.52
1010 VACATION 1 0.2
1010 SICK 1 2
For the days, 1-31 should should come in the header, if there is any absence taken on say 01st of the month or quarter passed then the value should go under 1 , if there is no value for date of the month, say no value is there from 07th-11th in the above case, then output should display the numbers but no value should be provided under it.
Is this feasible in SQL? I have an idea we can use pivot, but how to fix 1-31 header and give values underneath each day.
Any suggestions?
If I pass multiple quarter that is Q1(JAN-MAR), Q2(APR-JUN) it should sum up the values between the dates between those two quarters. if Just q1 then only q1 result
If I pass multiple month then it should display the sum of the values for an absence type in those multiple months.
I will be passing the year in the parameter and the above two should consider the year I pass.
Create a column which has all the dates, and pivot up using pivot function in oracle.
SELECT *
FROM
(
SELECT PERSON_NUMBER,
EXTRACT(DAY FROM TO_DATE(ABS_DATE)) AS DAY_X,
ABS_TYPE_NAME,
ABS_DAYS
FROM TABLE
-- Add additional filter here which you want
)
PIVOT(SUM(ABS_DAYS)
FOR DAY_X IN (0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31))
Db fiddle - https://dbfiddle.uk/?rdbms=oracle_21&fiddle=ad3af639235f7a6db415ec714a3ee0d9
This question already has answers here:
Select rows which are not present in other table
(4 answers)
Closed 2 years ago.
I have two tables:
Product_Table
ProductID Name Date
1 ABC 2020-02-14
2 XYZ 2020-03-05
Productbreak_Table
BreakID Product_id Begin End
34 1 2020-01-01 2020-01-30
35 1 2020-02-01 2020-02-20
36 2 2020-01-15 2020-01-31
37 2 2020-02-15 2020-03-01
My goal is to get just the products whose Date are not between the Begin and End dates of the productbreak_table
Result should be:
ProductID Name
2 XYZ
You would use not exists:
select p.*
from products p
where not exists (select 1
from productbreak pb
where pb.productid = p.productid and
p.date between pb.begin and pb.end
);
I tried max to provide in table format but it seem not good in StackOver, so attaching snapshot of the 2 tables. Apologize about the formatting.
SQL Server 2012
**MS Table**
**mId tdId name dueDate**
1 1 **forecastedDate** 1/1/2015
2 1 **hypercareDate** 11/30/2016
3 1 LOE 1 7/4/2016
4 1 LOE 2 7/4/2016
5 1 demo for yy test 10/15/2016
6 1 Implementation – testing 7/4/2016
7 1 Phased Rollout – final 7/4/2016
8 2 forecastedDate 1/7/2016
9 2 hypercareDate 11/12/2016
10 2 domain - Forte NULL
11 2 Fortis completion 1/1/2016
12 2 Certification NULL
13 2 Implementation 7/4/2016
-----------------------------------------------
**MSRevised**
**mId revisedDate**
1 1/5/2015
1 1/8/2015
3 3/25/2017
2 2/1/2016
2 12/30/2016
3 4/28/2016
4 4/28/2016
5 10/1/2016
6 7/28/2016
7 7/28/2016
8 4/28/2016
9 8/4/2016
9 5/28/2016
11 10/4/2016
11 10/5/2016
13 11/1/2016
----------------------------------------
The required output is
1. Will be passing the 'tId' number, for instance 1, lets call it tid (1)
2. Want to compare tId (1)'s all milestones (except hypercareDate) with tid(1)'s forecastedDate milestone
3. return if any of the milestone date (other than hypercareDate) is greater than the forecastedDate
The above 3 steps are simple, but I have to first compare the milestones date with its corresponding revised dates, if any, from the revised table, and pick the max date among all that needs to be compared with the forecastedDate
I managed to solve this. Posting the answer, hope it helps aomebody.
//Insert the result into temp table
INSERT INTO #mstab
SELECT [mId]
, [tId]
, [msDate]
FROM [dbo].[MS]
WHERE ([msName] NOT LIKE 'forecastedDate' AND [msName] NOT LIKE 'hypercareDate'))
// this scalar function will get max date between forecasted duedate and forecasted revised date
SELECT #maxForecastedDate = [dbo].[fnGetMaxDate] ( 'forecastedDate');
// this will get the max date from temp table and compare it with forecasatedDate/
SET #maxmilestoneDate = (SELECT MAX(maxDate)
FROM ( SELECT ms.msDueDate AS dueDate
, mr.msRevisedDate AS revDate
FROM #mstab as ms
LEFT JOIN [MSRev] as mr on ms.msId = mr.msId
) maxDate
UNPIVOT (maxDate FOR DateCols IN (dueDate, revDate))up );