I am stuck on my query attempt. I have a table that lists test results with their dates. I need to run a query to return the highest weekly average for a particular month.
I have the first part figured out:
SELECT Effluent BOD5, WEEK(Date)
FROM bod
WHERE YEAR(Date) = 2020 AND MONTH (Date) = 4
ORDER BY WEEK(Date)
Returns:
Effluent BOD5 / WEEK(Date)
10 14
14 14
9 15
6 16
7 16
11 17
8 17
I need to get the result of 12 (which is the highest weekly average (week 14).
Any help would be great![enter image description here][1]
I messed around with this and figured it out! Here is what I used:
SELECT max(Total)
FROM
(SELECT week, avg(test) AS Total
From
(SELECT Effluent BOD5 test, WEEK(Date) week
FROM bod
WHERE YEAR(Date) = 2020 AND MONTH(Date) = 4
ORDER BY WEEK(Date),Effluent BOD5 desc)ab
GROUP BY week)ac
Related
I need to figure out a query that will compare two EFFECTIVE dates for a given patient number with different HMOs and determine which is the later date of the two and then populate a TERMINATION date field for only the older of the two effective dates with the last day of the previous month of the newer effective date of the two. This needs to be done across multiple patient, HMO, effective date combinations in a table.
SELECT * FROM tablename
The output is this:
HMO PATIENT EFFECTIVE TERMINATION
16 221135 01-APR-18
18 221135 01-OCT-17
12 251181 01-SEP-16
16 251181 01-MAR-15
12 271126 01-MAR-15
16 271126 01-DEC-16
12 291141 01-DEC-16
16 291141 01-FEB-19
12 391134 09-MAY-13
16 391134 01-APR-18
What I am trying to do via a query or queries is this:
HMO PATIENT EFFECTIVE TERMINATION
16 221235 01-APR-18
18 221235 01-OCT-17 3/31/2018
12 251381 01-SEP-16
16 251381 01-MAR-15 8/31/2016
12 2711126 01-MAR-15 11/30/2016
16 2711126 01-DEC-16
12 292241 01-DEC-16 1/31/2019
16 292241 01-FEB-19
12 391534 09-MAY-13 31-MAR-19
16 391534 01-APR-18
I've tried using a case statement but it is unsurprisingly creating four rows per patient, hmo combo and populating two of the rows with dates and leaving two blank:
SELECT DISTINCT
S.HMO
,S.PATIENT
,S.EFFECTIVE
,CASE WHEN S.EFFECTIVE > E.EFFECTIVE THEN LAST_DAY(ADD_MONTHS(S.EFFECTIVE, -1))
WHEN S.EFFECTIVE < E.EFFECTIVE THEN LAST_DAY(ADD_MONTHS(E.EFFECTIVE, -1))
ELSE NULL END AS TERMINATION
FROM tablename S INNER JOIN tablename E ON S.PATIENT=E.PATIENT
WHERE S.PATIENT =221135
Any ideas or advice would be welcome.
With sample data you posted:
SQL> select * from tablename order by patient, effective;
HMO PATIENT EFFECTIVE TERMINATIO
---------- ---------- ---------- ----------
18 221135 10/01/2017
16 221135 04/01/2018
16 251181 03/01/2015
12 251181 09/01/2016
12 271126 03/01/2015
16 271126 12/01/2016
6 rows selected.
such a MERGE might do:
SQL> merge into tablename a
2 using (select patient, max(effective) max_effective,
3 min(effective) min_effective
4 from tablename
5 group by patient
6 ) x
7 on (a.patient = x.patient)
8 when matched then update set
9 a.termination = x.max_effective - 1
10 where a.effective = x.min_effective;
3 rows merged.
Result is then
SQL> select * from tablename order by patient, effective;
HMO PATIENT EFFECTIVE TERMINATIO
---------- ---------- ---------- ----------
18 221135 10/01/2017 03/31/2018
16 221135 04/01/2018
16 251181 03/01/2015 08/31/2016
12 251181 09/01/2016
12 271126 03/01/2015 11/30/2016
16 271126 12/01/2016
6 rows selected.
SQL>
I have a table like below:
From Date
Issue Id
Issue Id (group)
Status
Till Date
19-07-2021 17:21
4
4
Approved
19-07-2021 17:23
19-07-2021 17:23
4
4
In Progress
19-07-2021 17:23
19-07-2021 17:23
4
4
In Review
19-07-2021 17:25
19-07-2021 17:25
4
4
In Progress
19-07-2021 18:56
19-07-2021 18:56
4
4
In Review
20-07-2021 08:47
20-07-2021 08:47
4
4
Resolved
20-07-2021 14:45
20-07-2021 14:45
4
4
Closed
12-07-2021 10:49
4
4
Open
19-07-2021 17:21
27-04-2016 09:07
3
3
Open
10-01-2017 08:40
10-01-2017 08:40
3
3
Closed
10-01-2017 08:40
3
3
Resolved
10-01-2017 08:40
I need to do the following things:
For Issue Id 4 find the total time in hours or minutes or seconds or days for a particular type of status. For e.g There are 2 In Review rows. So the total time between From Date to Till date will be 17:23 (19-07) till 8:47(20-07).
calculate total time a issue is in between closed and In Review (here Till date for closed issues is unfortunately null).
Basically I am trying to create a dashboard where for each issue i'd i would like to see for how long was a issue "In Review" or "In Progress" before it was closed. So the dashboard will have "Issue Id" in the X axis and "Total Time for Review" or "Total Time for Progress" in the Y axis. For e.g Issue 4 was in a total of 1:31:01 Hours in the "In Progress" state (17:23 to 17:23 on 19th July and 17:25 to 18:56 on 19th July).
I am trying this:
IF [STATUS] = 'In progress' and [STATUS] = 'Closed'
THEN
DATEDIFF('day',[Date Create],[Till Date])
END but it says tables can only be aggregated and using Count function only.
Can someone please help? How can we create a calculated field for the above scenarios.
Think of your IF statements being applied to each row, you cannot have a status that is both in progress and closed.
I would arrange the text table like this:
Columns: Status
Rows: Issue ID (group) | Issue ID
Text Mark: Calculated Field (Named something like Total Time).
That will group all of the statuses together. You can change the aliases of the status if you want to say "Total Time for ..."
Then your calculated field would be:
DATEDIFF("day", [From Date], [Till Date])
And make sure you drag the pill over it is summing it. That will collapse everything at the status level, and then total the days.
Seeking help with the following problem statement.
I/P Data Set:
customer id invoice date item id invoice amount Comment
1 10-Jan-2014 1 10 Start of 12 month window - 10th Jan 2014 to 10th Jan 2015
1 20-Jan-2014 2 20 Falls within 12 month window
1 21-Aug-2014 1 10 Falls within 12 month window
1 31-Dec-2014 1 10 Falls within 12 month window
1 20-Feb-2015 1 10 Start of new 12 month window as this is post 10th Jan 2015
1 30-Mar-2016 1 10 Start of new 12 month window as this is post 20th Feb 2016
Desired o/p
customer id invoice date item id invoice amount window sum(amount where item id = 1)
1 10-Jan-2014 1 10 1 10
1 20-Jan-2014 2 20 1 0
1 21-Aug-2014 1 10 1 20
1 31-Dec-2014 1 10 1 30
1 20-Feb-2015 1 10 2 10
1 30-Mar-2016 1 10 3 10
I tried using the following query in Hive to achieve the above output but the challenge is in resetting the next window once we have crossed the 12 month mark. (Please refer to rows 5 and 6 in the input data set). The need is for these records to be considered as start of a new window.
Following Query Used:
SELECT SUM(if(item_id = 1, invoice_amount, 0)) OVER (
PARTITION BY customer_id
ORDER BY invoice_date ASC
RANGE BETWEEN 31556926 PRECEDING AND CURRENT ROW
) FROM INVOICE_DETAILS;`
Can someone help me understand the working of Oracle Months_Between Function?
If I query select MONTHS_BETWEEN('02-28-2015', '01-28-2015')
I get an integer value of 1 but if I query
select MONTHS_BETWEEN('02-28-2015', '01-29-2015') I get 0.96.
Refer to the documentation. https://docs.oracle.com/cd/B19306_01/server.102/b14200/functions089.htm
Note - the "31 day month" convention may cause weird results around month-ends. Consider:
select months_between(date '2016-07-02', date '2016-07-01') as one_day,
months_between(date '2016-07-01', date '2016-06-30') as another_day
from dual;
ONE_DAY ANOTHER_DAY
---------- -----------
.032258065 .064516129
1 row selected.
As if June had 31 days. It doesn't, but months_between treats it as though it did.
If you're working with just trying to determine the number of months in a set of months and don't care about the days. I find myself in this situation often... You can do a bit of date manipulation which is rather reliable for determining the number of months in a set of months. Say for instance Jul - Sep while starting with dates.
Thusly:
WITH MONTHS AS (
SELECT
SYSDATE DATE_ONE
, SYSDATE+57 DATE_TWO
FROM DUAL
)
SELECT
m.*
,TO_CHAR(m.DATE_ONE,'MON') START_MONTH
,TO_CHAR(m.DATE_TWO,'MON') END_MONTH
,MONTHS_BETWEEN(m.DATE_TWO,m.DATE_ONE) UNEXPECTED_RESULT
,MONTHS_BETWEEN(LAST_DAY(m.DATE_TWO),LAST_DAY(ADD_MONTHS(m.DATE_ONE,-1))) EXPECTED_RESULT
FROM MONTHS m
;
I have a list of timebased values in the following form:
20/Dec/2011:10:16:29 9
20/Dec/2011:10:16:30 13
20/Dec/2011:10:16:31 13
20/Dec/2011:10:16:32 9
20/Dec/2011:10:16:33 13
20/Dec/2011:10:16:34 14
20/Dec/2011:10:16:35 6
20/Dec/2011:10:16:36 7
20/Dec/2011:10:16:37 16
20/Dec/2011:10:16:38 5
20/Dec/2011:10:16:39 7
20/Dec/2011:10:16:40 15
20/Dec/2011:10:16:41 12
20/Dec/2011:10:16:42 13
20/Dec/2011:10:16:43 11
20/Dec/2011:10:16:44 6
20/Dec/2011:10:16:45 7
20/Dec/2011:10:16:46 9
20/Dec/2011:10:16:47 14
20/Dec/2011:10:16:49 6
20/Dec/2011:10:16:50 11
20/Dec/2011:10:16:51 15
20/Dec/2011:10:16:52 10
20/Dec/2011:10:16:53 16
20/Dec/2011:10:16:54 12
20/Dec/2011:10:16:55 8
The second column contains value against each second. Values are there for complete month and for each and every second. I want to add these values:
Per minute basis. [for 00 - 59 seconds ]
Per hour basis [ for 00 - 59 minutes ]
Per Day basis. [ for 0 - 24 hours ]
Sounds like a job for Excel and a pivot table.
The trick is to parse the text date/time you have into something Excel can work with; splitting it on the colon will do just that. Assuming the value you have is in cell A2, this formula will convert the text into a real date:
=DATEVALUE(LEFT(A2,SEARCH(":",A2)-1))+TIMEVALUE(RIGHT(A2,LEN(A2)-SEARCH(":",A2)))
Then just create Minute, Hour and Day columns where you subtract out that portion of the date. For example, if the date from the above formula is in C2, the following will subtract out the seconds and give you just up to the minute:
=C2-SECOND(C2)/24/60/60
Then repeat the process for the next two columns to give you the hour and the day:
=D2-MINUTE(D2)/24/60
=E2-HOUR(E2)/24
Then all you have to do is create a pivot table on the data with rows Day, Hour, Minute and value Sum(Value).