I know the exact SQL I would need to write to retrieve the results I'm looking for from the Oracle BI tool, however, as I am new to Oracle BI I am struggling to find a way to reproduce the same results. I realize that the ultimate answer largely depends on the BI data model and that takes a lot more communication than a question on Stack Overflow will allow, so I'm looking for more generic how-to answers than a specific definitive answer for my scenario.
Perhaps the SQL will help for starters:
select "All"."DT", ("LessThan5Mins"."Count" / "All"."Count") * 100
from
(
select to_char(m."EndDateTime", 'YYYY-MM') "DT", count(*) "Count"
from "Measurement" m,
"DwellTimeMeasurement" dtm
where dtm."MeasurementBase_id" = m."Id"
group by to_char(m."EndDateTime", 'YYYY-MM')
) "All",
(
select to_char(m."EndDateTime", 'YYYY-MM') "DT", count(*) "Count"
from "Measurement" m,
"DwellTimeMeasurement" dtm
where dtm."MeasurementBase_id" = m."Id"
and m."MeasValue" <= 300
group by to_char(m."EndDateTime", 'YYYY-MM')
) "LessThan5Mins"
where "All"."DT" = "LessThan5Mins"."DT";
The purpose of this is to return the percentage of dwell time records that were less than or equal to 5 mins (300 seconds).
I have a fact that represents the "MeasValue" field in the above query.
All attempts I've made to reproduce the dual result set nature of the above query in BI have failed.
Is the above possible in OBIEE and if so, how might I achieve this?
I'm assuming that you have imported the Measurement (M) and DwellTimeMeasurement (DTM) tables into the physical layer of the RPD, specified the join on DTM.MeasurementBase_id = M.Id, and then brought them both through to the presentation layer.
If so, then you could start building this query in Answers on the criteria tab by dragging in M.EndDateTime and any OBIEE measure column from DTM, for example DTM.Amount. Edit the formula for the DTM.Amount column:
Filter the column by clicking the filter button shown in blue below.
In the following dialog box double click on M.MeasValue and then select "is less than or equal to" and type 300 in the Value text box. Click OK twice and your column formula should now look something like this:
FILTER(DTM.Amount USING (M.MeasValue <= 300))
Now wrap this with COUNT():
COUNT(FILTER(DTM.Amount USING (M.MeasValue <= 300)))
This will give the count of records with M.MeasValue <= 300. You could rename this column to be "LessThan5Mins". Click OK to save the new formula. Now drag in the DTM.Amount column again but this time only perform a COUNT():
COUNT(DTM.Amount)
This will give you the count of all dwell time records. You could rename this to "All". Finally drag in the DTM.Amount column one last time and edit it's formula again. This is where you will calculate the percentage with a formula similar to the following:
COUNT(FILTER(DTM.Amount USING (M.MeasValue <= 300))) / COUNT(DTM.Amount) * 100
So ultimately you will have four columns with the following titles and formulas:
TITLE FORMULA
----- --------
EndDateTime M.EndDateTime
LessThan5Mins COUNT(FILTER(DTM.Amount USING (M.MeasValue <= 300)))
All COUNT(DTM.Amount)
% LessThan5Mins COUNT(FILTER(DTM.Amount USING (M.MeasValue <= 300))) / COUNT(DTM.Amount) * 100
Note that including the EndDateTime column takes care of grouping the records. Also, to match your original query you would only need the EndDateTime and % LessThan5Mins columns (you could hide or exclude the other columns) but I wanted to demonstrate for you the process of filtering column values in OBIEE.
Related
I have a column that has 34 records of Week Day, Month/Day, and Times. I am looking for two formulas that I can use in a table that will give me the count of weekdays and the time duration per day. Eventually, I would like to just copy and past new dates into column A and have the table automatically calculate. Here is my google sheet example. Is there a way to do this without creating helper columns? If not, no big deal. Anything to help automate the process will be helpful.
https://docs.google.com/spreadsheets/d/1C6N94QJyEgm-2yg2SEDOweIU2fk2h2DLydKb-nH-ObE/edit?usp=sharing
enter image description here
Take a look at the Punches tab in the sample sheet below. It shows what I was mentioning about breaking the columns up. Then, using the QUERY() function I was able to populate the table.
https://docs.google.com/spreadsheets/d/1qbLOjTdzISICTKyUp_jK6gZbQCt-OwtDYYy3HNJygeE/edit#gid=1181136581
G6 Formula
=if(isna(query($A$1:$C, "SELECT COUNT(B) WHERE B ='"&F2&"' LABEL COUNT(B) ''",1)),0,query($A$1:$C, "SELECT COUNT(B) WHERE B ='"&F2&"' LABEL COUNT(B) ''",1))
H6 Formula
=if(G2<>0,query($A$1:$C, "SELECT C WHERE B ='"&F2&"' ORDER BY C DESC LIMIT 1 LABEL C ''",1)-query($A$1:$C, "SELECT C WHERE B ='"&F2&"' ORDER BY C LIMIT 1 LABEL C ''",1),0)
I have problem with the task which looks like that I have a table Warehouse containing a list of items that a company has on stock. This
table contains the columns ItemID, ItemTypeID, InTime and OutTime, where InTime (OutTime)
specifies the point in time where a respective item has entered (left) the warehouse. I have to calculate the longest period that the company has gone without an item entering or leaving the warehouse. I am trying to resolve it this way:
select MAX(OutTime-InTime) from Warehouse where OutTime is not null
Is my understanding correct? Because I believe that it is not ;)
You want the greatest gap between any two consecutive actions (item entering or leaving the warehouse). One method is to unpivot the in and out times to rows, then use lag() to get the date of the "previous" action. The final step is aggregation:
select max(x_time - lag_x_time) max_time_diff
from warehouse w
cross apply (
select x_time, lag(x.x_time) over(order by x.x_time) lag_x_time
from (
select w.in_time as x_time from dual
union all select w.out_time from dual
) x
) x
You can directly perform date calculation in oracle.
The result is calculated in days.
If you want to do it in hours, multiply the result by 24.
To calculate the duration in [day], and check all the information in the table:
SELECT round((OutTime - InTime)) as periodDay, Warehouse .*
FROM Warehouse
WHERE OutTime is not null
ORDER BY periodDay DESC
To calculate the duration in [hour]:
SELECT round((OutTime - InTime)*24) AS periodHour, Warehouse .*
FROM Warehouse
WHERE OutTime is not null
ORDER periodHour DESC
round() is used to remove the digits.
Select only the record with maximum period.
SELECT *
FROM Warehouse
WHERE (OutTime - InTime) =
( SELECT MAX(OutTime - InTime) FROM Warehouse)
Select only the record with maximum period, with the period indicated.
SELECT (OutTime - InTime) AS period, Warehouse.*
FROM Warehouse
WHERE (OutTime - InTime) =
( SELECT MAX(OutTime - InTime) FROM Warehouse)
When finding the longest period, the condition where OutTime is null is not needed.
SQL Server has DateDiff, Oracle you can just take one date away from the other.
The code looks ok. Oracle has a live SQL tool where you can test out queries in your browser that should help you.
https://livesql.oracle.com/
I am new to Power BI and currently I am working with table visulaizations and slicers.
My data is as follows
Student table:
Date table:
Exam table:
The relationships within the table are as follows:
I want an output like the image shown below, I would like to create 2 table visuals that can be filtered on Student Name, Classroom and also have slicer on 2 dates. I need to compute minimum score. The user must be able to select 2 dates at a time on the slicer, the first date selected on the slicer should be attached to my 'Min Score at date1' and second date selected on the slicer should be attached to my 'Min Score at date2', and the third column 'Difference in Score' must be able to calculate the difference between the Min Score at date1 and Min Score at date2.
Similarly I also want to calculate the average minimum score too
Please let me know how to proceed or what alternative formula or query or method should I apply to get the desired result.Thanks!
Before I start, let me mention that this example was done in SSAS so it may need some tweaking in PowerBi but the logic is identical nonetheless.
First create a clone date table and call it something else e.g. 'Compare Date'. Next, create an inactive, one to many relationship between the 'Compare Date' and your 'Fact' table, see the image below, in this case I am joining on [Year Month], you will need to adjust to fit your needs:
If you are unsure how to do this, just right click on the new table and select the create relationship option, ensure that the relationship is like the image below:
Once this has been done, right click on the 'relationship' and mark it as inactive.
Now that you have the new date table and the relationships set up, I want you to create a few DAX measures:
Min Date 1 = Min('Student Table'[Score])
Min Date 2 = CALCULATE(Min('Student Table'[Score]), ALL('Dates'), USERELATIONSHIP('Compare Date'[Date], 'Fact'[Date]))
Avg Date 1 = AVERAGE('Student Table'[Score])
Avg Date 2 = CALCULATE(AVERAGE('Student Table'[Score]), ALL('Dates'), USERELATIONSHIP('Compare Date'[Date], 'Fact'[Date]))
Delta Min = [Min Date 2] - [Min Date 1]
Delta Avg = [Avg Date 2] - [Avg Date 1]
These measures will calculate exactly what you need and can be filtered independently via two date slicers tied to each date table. The rest is just busy work.
I hope this helps.
I'm working on a query (Oracle 11g) that does a lot of date manipulation. Using a row generator, I'm examining each date within a range of dates for each record in another table. Through another query, I know that my row generator needs to generate 8500 dates, and this amount will grow by 365 days each year. Also, the table that I'm examining has about 18000 records, and this table is expected to grow by several thousand records a year.
The problem comes when joining the row generator to the other table to get the range of dates for each record. SQLTuning Advisor says that there's an expensive Cartesian product, which makes sense given that the query currently could generate up to 8500 x 18000 records. Here's the query in its stripped down form, without all the date logic etc.:
with n as (
select level n
from dual
connect by level <= 8500
)
select t.id, t.origdate + n origdate
from (
select id, origdate, closeddate
from my_table
) t
join n on origdate + n - 1 <= closeddate -- here's the problem join
order by t.id, t.origdate;
Is there an alternate way to join these two tables without the Cartesian product?
I need to calculate the elapsed time for each of these records, disallowing weekends and federal holidays, so that I can sort on the elapsed time. Also, the pagination for the table is done server-side, so we can't just load into the table and sort client-side.
The maximum age of a record in the system right now is 3656 days, and the average is 560, so it's not quite as bad as 8500 x 18000; but it's still bad.
I've just about resigned myself to adding a field to store the opendays, computing it once and storing the elapsed time, and creating a scheduled task to update all open records every night.
I think that you would get better performance if you rewrite the join condition slightly:
with n as (
select level n
from dual
connect by level <= 8500
)
select t.id, t.origdate + n origdate
from (
select id, origdate, closeddate
from my_table
) t
join n on Closeddate - Origdate + 1 <= n --you could even create a function-based index
order by t.id, t.origdate;
I've got a table of a parameters, values, and times at which those values were recorded.
I've got a procedure which takes in a time, and needs to get the average result of each parameters value in the window of time that is -15/+5 seconds around that time frame. On top of that, I want to make sure that I take the no more than 15 records before the passed in time, and no more than 5 records after it.
For example, maybe I'm recording values of some parameters every second. If I passed in the time 21:30:30, I'd want to get the values between 21:30:15 and 21:30:35. But if I was recording every half second, I'd actually have more parameters that fit in that time frame than I want, and that's where my need to limit my results comes in.
I've read this question and this article which seem pretty related to what I'm trying to do, but unfortunately I'm dealing with Oracle and not MySQL, so I can't use "limit".
I've currently got something that looks like this:
std_values as
(
select
V.ParameterId,
V.NumericValue,
from
ValuesTable V
where
V.ValueSource = pValueSource
and V.Time >= pSummaryTime - 15/86400
and V.Time <= pSummaryTime + 5/86400
)
select
ParameterId,
avg(NumericValue) as NumericValue
from
std_values
group by
ParameterId
pValueSource is just something that lets me filter down which value types I'm looking at, and pSummaryTime is the input time that I'm basing my time frame around. The goal here is to get the 15 records before pSummaryTime that falls within that window, and the 5 after that falls within that window, and use those for the average. Currently I'm not limiting the number of "before" and "after" results though, so I'm ending up with the average of everything that falls into that time window. And without something like "limit", I'm not sure how to do this in Oracle.
Sounds like you want a moving window aggregate function. This is part of the Analytical functions feature of Oracle.
It's not my strong suit, and since you didn't include sample tables/data to build a test case, I'll just point you to the Oracle documentation, here:
http://docs.oracle.com/cd/B14117_01/server.101/b10736/analysis.htm#i1006709
You probably want something like:
AVG(NumericValue) over (order by pSummaryTime RANGE BETWEEN 15 PRECEDING AND 5 FOLLOWING)
but, like I said, not my strong suit, and totally untested, but, I hope it gets the idea across.
Hope that helps.
Thanks to Mark Bobak's answer getting me on the right track, I ended up with this solution.
with
values_before as
(
select
V.ParameterId,
V.NumericValue,
row_number() over (Partition by V.ParameterId order by V.Time desc) as RowNumber
from
ValuesTable V
where
V.ValueSource = pValueSource
and V.Time >= pSummaryTime - 15/86400
and V.Time <= pSummaryTime
),
values_after as
(
select
V.ParameterId,
V.NumericValue,
row_number() over (Partition by V.ParameterId order by V.Time desc) as RowNumber
from
ValuesTable V
where
V.ValueSource = pValueSource
and V.Time <= pSummaryTime + 5/86400
and V.Time > pSummaryTime
),
values_all as
(
select * from values_before where RowNumber <= 15
union all
select * from values_after where RowNumber <= 5
)
select ParameterId, avg(NumericValue) from values_all group by ParameterId
No doubt there's a better way to do this, but it at least seems to be giving the correct result. The key was using an analytical function to set the row number and order for the 15 before and 5 after, and then filtering my results down to just those.