OBIEE- Calculating Min and Max Values

Hi Friends,
I have an Issue with regards to calculating Min/Max Values.
In my Data base we dont have Message Count. So we created a Logical column in BMM Layer called "Message Count" based on the column "Out/In No" i.e by creating count of it i.e (Count(out/in no)) in BMM
To calculate Inbound Messages we writing -- filter(Message count using messagetype ='i') at report level
To calculate Outbound Messages we writing -- filter(Message count using messagetype ='o') at report Level
To calculate Total Messages we writing----- "Message Count".
But Now we had an issue to calculate "Min Inbound/Max Inbound/Min Outbound/Max Outbound/Avg In/Avg Out" types of Messages.
To make it clear definition for MIN and MAx is Like This.
Say Ravi received(Inbound) messages      2
Say Roy received(Inbound) messages      5
Say Kiran received(Inbound) messages   11 on a particular date.
So for that particular date Min Inbound is 2
So for that particular date Max Inbound is 11
and Avg Inbound will be (2+5+11)/3
On this basis we have to implement it in OBIEE. For any more clarifications please reply to my thread.
Please reply to my Issue ASAP as it is critical and I am out of time.
Thanks in Advance.
Regards

Hi,
Do you mean to ask minimum stock in a plant and maximum stock in a plant over a period of time?
Due to receipts stocks flows in to the storage location of a plant. May be in one period there will be less stock or in one period there will be maximum stock.
May be history tables like MBEWH or MARDH or the report MC.9 ( you need to provide the period as input) etc for your case.If this is not your requirement please reply back.
Regards

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hi there,
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*--Serdar [[ BC ] | https://www.sdn.sap.com:443http://www.sdn.sap.comhttp://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/com.sap.sdn.businesscard.sdnbusinesscard?u=qbk sag jiw=]

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How to show Min and Max values when another value "changes to a new value"

Hi
If I have this data (generated with this query: SELECT 1 A, 1 B UNION ALL SELECT 2, 1 UNION ALL SELECT 3, 2 UNION ALL SELECT 4, 2 UNION ALL SELECT 5, 1)
A B
1 1
2 1
3 2
4 2
5 1
How can I generate this data (created with this query SELECT 1 Amin, 2 Amax, 1 B UNION ALL SELECT 3, 4, 2 UNION ALL SELECT 5, 5, 1)
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Thanks.

Please post DDL, so that people do not have to guess what the keys, constraints, Declarative Referential Integrity, data types, etc. in your schema are. Learn how to follow ISO-11179 data element naming conventions and formatting rules. Temporal data should
use ISO-8601 formats. Code should be in Standard SQL as much as possible and not local dialect.
This is minimal polite behavior on SQL forums. You also do not know the ANSI/ISO syntax for insertion and you did the old Sybase insertion kludge wrong, that we need keys, etc.
CREATE TABLE Foobar
(foo_seq INTEGER NOT NULL PRIMARY KEY,
glop_score INTEGER NOT NULL);
INSERT INTO Foobar
VALUE
(1,1),
(2,1),
(3,2),
(4,2),
(5,1);
>> How can I generate this data (created with this query SELECT 1 Amin, 2 Amax, 1 B UNION ALL SELECT 3, 4, 2 UNION ALL SELECT 5, 5, 1) <<
This makes no sense; you have the wrong syntax and mixed data types. My guess is:
SELECT MIN(foo_seg), MAX(foo_seq), MAX(glop_score)
FROM Foobar
GROUP BY glop_score
HAVING MIN(glop_score) = MAX(glop_score);
Amin Amax B
1 2 1
3 4 2
5 5 1
--CELKO-- Books in Celko Series for Morgan-Kaufmann Publishing: Analytics and OLAP in SQL / Data and Databases: Concepts in Practice Data / Measurements and Standards in SQL SQL for Smarties / SQL Programming Style / SQL Puzzles and Answers / Thinking
in Sets / Trees and Hierarchies in SQL

Single result recording valuation based on min and max values

hi,
Our client requirement is as follows:
While entering the single results recording the system should not calculate the average , we need the system should valuate based on the Minimum and Maximum values in result entry. Is it possible?. can anyone explain in details.
Regards,
Ramu.

Hi
This is a standard SAP functionality available in SAP
As
Variable Inspection by S-Method
If you set this indicator, you define the valuation mode for the variable inspection according to the s-method (ISO 3951).
For a sampling procedure with this valuation mode, valuation occurs using a sampling plan consisting of sample size and k-factor. A quality score is calculated from the measured values of a sample and compared with the k-factor.
Now you want Both limits should come into picture while valuating then Check valuation Rule :31 -Variable insp. s-Method (two limits)
so select the Valuation mode : 310- Variable insp. s-Method (two limits) in sampling procedure.
I hope this will add some value.
Regars
Sujit

OBIEE - Calculated Measure and Row values.

Date Dimension = Dim Date
Location Dimension = Dim Unit
Fact Table = Fact Unit Svc Capacity
The image linked below illustrates my problem.
Combined screenshots
The top screenshot is from MS Excel and shows the expected data for May 2012. Columns: Civic Campus, Nursing Units(A1, A2 and A3), Average Daily Bed Quota and Monthly Bed Quota. Average Daily Bed Quota is derived from two columns: Bed Quota / Days of the Month. Monthly Bed Quota is derived from Bed Quota(with SUM aggregation). The calculated values shown are correct.
The second, third and fourth screenshots are from OBIEE Analytics for the same time index. Columns: Year(2012), Month(May), Campus(C), Nursing Unit(A1, A2 and A3), Average Daily Bed Quota and Monthly Bed Quota. The calculated values here should match the values in the Excel screenshot. Only the A1 Nursing Unit values match.
The fifth and final screenshot is from OBIEE Analytics for the same time index. The Days of Month column was added to the Compound Layout. In this screenshot, the Average Daily Bed Quota is being calculated correctly for each unit.
The Average Daily Bed Quota expression is only calculating Nursing Unit A1 correctly. I tried modifying the expression for my Days of Month logical column. In the alternate view, with Days of Month column, I can see the desired, calculated values. I'm not certain what is causing the error.
Edited by: 968521 on Oct 31, 2012 7:44 AM
Edited by: 968521 on Oct 31, 2012 7:46 AM

You need to have 'Is Prompted' for that specific measure. I would suggest to use action links on other columns instead of metrics.
Pls mark as correct/helpful if helps

MIN and MAX datetimes ti find range

I am using Oracle 11g version
create table re(Name char(20),Datetime char(45),val1 number);
insert into re values('abc','10/29/2012 13:00','1.5')
insert into re values('abc','10/29/2012 13:05','1.5')
insert into re values('abc','10/29/2012 13:10','1.5')
insert into re values('abc','10/29/2012 13:15','1.5')
insert into re values('abc','10/29/2012 13:20','0.00')
insert into re values('abc','10/29/2012 13:25','0.00')
insert into re values('abc','10/29/2012 13:30','0.00')
insert into re values('abc','10/29/2012 13:35','0.00')
insert into re values('abc','10/29/2012 13:40','2.1')
insert into re values('abc','10/29/2012 13:45','2.3')
insert into re values('abc','10/29/2012 13:50','2.1')
insert into re values('abc','10/29/2012 13:55','2.1')
insert into re values('abc','10/29/2012 14:00','2.2')
O/P:
In this way data is stored in database.Needed output is, I want the datetime column data range with min and max values where val1>0 only.
Expected result while we consider the above data is::
Name mintime maxtime
abc 10/19/2012 13:00 10/19/2012 13:15
abc 10/29/2012 13:40 10/29/2012 14:00
For this I tried something like this,
select name, min(to_date(Datetime ,'mm/dd/yyyy hh24:mi')) start, max(to_date(Datetime ,'mm/dd/yyyy hh24:mi')) end from (
select name, Datetime ,to_date(Datetime ,'mm/dd/yyyy hh24:mi') - rank() over (partition by loc_name order by t1 asc) Val_col from re where val1 > 0
) group by lname, Val_col
but I am getting the output like this for above query.
name start end
abc 10/29/2012 13:00 10/29/2012 13:00
abc 10/29/2012 13:05 10/29/2012 13:05
so.on.
Edited by: 913672 on Apr 3, 2013 3:07 AM

913672 wrote:
I am using Oracle 11g version
create table re(Name char(20),Datetime char(45),val1 number);
insert into re values('abc','10/29/2012 13:00','1.5')
insert into re values('abc','10/29/2012 13:05','1.5')
insert into re values('abc','10/29/2012 13:10','1.5')
insert into re values('abc','10/29/2012 13:15','1.5')
insert into re values('abc','10/29/2012 13:20','0.00')
insert into re values('abc','10/29/2012 13:25','0.00')
insert into re values('abc','10/29/2012 13:30','0.00')
insert into re values('abc','10/29/2012 13:35','0.00')
insert into re values('abc','10/29/2012 13:40','2.1')
insert into re values('abc','10/29/2012 13:45','2.3')
insert into re values('abc','10/29/2012 13:50','2.1')
insert into re values('abc','10/29/2012 13:55','2.1')
insert into re values('abc','10/29/2012 14:00','2.2')
O/P:
In this way data is stored in database.Needed output is, I want the datetime column data range with min and max values where val1>0 only.
Expected result while we consider the above data is::
Name mintime maxtime
abc 10/19/2012 13:00 10/19/2012 13:15
abc 10/29/2012 13:40 10/29/2012 14:00
For this I tried something like this,
select name, min(to_date(Datetime ,'mm/dd/yyyy hh24:mi')) start, max(to_date(Datetime ,'mm/dd/yyyy hh24:mi')) end from (
select name, Datetime ,to_date(Datetime ,'mm/dd/yyyy hh24:mi') - rank() over (partition by loc_name order by t1 asc) Val_col from re where val1 > 0
) group by lname, Val_col
but I am getting the output like this for above query.
name start end
abc 10/29/2012 13:00 10/29/2012 13:00
abc 10/29/2012 13:05 10/29/2012 13:05
so.on.Firstly and most importantly do NOT store dates as char columns: that's what the DATE type is for.
Secondly, i'm not sure how you get your output from the input, particularly as your SQL contains 'partition by loc_name' which
doesn't even exist in your example table.
Why has the same name got two rows with those min/max times. Are you partitioning by val1?

Capturing min and max of a func. generated sine wave

I need to identify (in real time) the min and max values of a continuous sine wave (whose amplitude may vary). I need to capture the value of each min and max and the time of each such occurrence.

If the sine wave is in the form of a waveform data type, then all you have to use is the Waveform Min Max function. This does all that you want including returning the time values. There's even an example under Help>Fundamentals>Waveforms>Waveform Operations.

Difference of value of a dimension based on min and max

Database: Oracle 10g
BO-BOXIr3
Let me explain the exact problem again.
As per the below code, I have the data in this format in my table:
Code:
Date              Site ID     KWH
1/2/2009 00:00     IN-1     22
1/2/2009 01:00     IN-1     28
1/3/2009 03:00     IN-2     25
1/3/2009 04:00     IN-2     46
1/4/2009 00:00     IN-3     28
1/4/2009 10:00     IN-3     34
1/5/2009 08:00     IN-4     31
1/5/2009 09:00     IN-4     55
1/5/2009 11:00     IN-4     77
1/6/2009 00:00     IN-5     34
Now want to build a report with following columns:
Site     Count     KWH
IN-1     2     6 (ex.-28-22)
IN-2     2     21
IN-3     2     6
IN-4     3     46 (ex.-77-31)
IN-5     2     34
SITE- distinct site name.
COUNT-count is number of repetitions of site id between min and max date.
KWH -(Delta between the min and max date)
To get the above result I have created 3 report from different queries since not able to get these al in a single report viz Count, Max Value and Min value. Well I have all these 3 reports or table on a single page.
Count-this report will give the count between the dates
Max Value-this report will give me the values of kwh for max dates for each site id
Min Value-this report will give me the values of kwh for min dates for each site id
Now want to create a single report based on these 3 reports which contains the column
Site|Count|KWH
IS IT POSSIBLE?
Or
Is it possible to build such report in a single one with all the required column which I mentioned?
The variables which I created to get the max & min dates,
Mx_dt= =Max([Query 2].[Hourly]) In ([Query 2].[SITE_ID])
Mn_dt= =Min([Query 3 (12)].[Hourly]) In ([Query 3 (12)].[SITE_ID])
For filtering on report used following variables:
if_st_mn=If([mn_dt])=[Hourly] Then "ok" Else "no"
if_st_mx =If([mx_dt])=[Hourly] Then "ok" Else "no"
will filter on "ok" to get the max and min date values.
rest of the variable in the snap are not usable.

Yes, you can do it in one report.
I created a sample report from efashion:
Year | Lines | Sales Revenue
2001 | Accessories | $250
2003 | Accessories | $550
2001 | City Skirts | $1050
2003 | City Skirts | $1150...........
Create 2 variables 1) Count and 2) Difference:
1) Count as formula - =Count([Lines]) In Report
2) Difference as formula - =Sum([Sales revenue]) Where (Max([Year]) In Report = [Year]) - Sum([Sales revenue]) Where (Min([Year]) In Report = [Year])
You can replace the formula with your report variables. Then just drag Site ID, Count and Difference variables to your report.
Thanks
Jai

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Hello Forum,
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                   select to_date('09.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                   select to_date('09.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                   select to_date('09.09.2012 17:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                   select to_date('09.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                   select to_date('09.09.2012 23:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                   select to_date('10.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                   select to_date('10.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                   select to_date('10.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                   select to_date('10.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                   select to_date('10.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                   select to_date('10.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
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                   select to_date('10.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 34 val from dual union all
                   select to_date('10.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 58 val from dual union all
                   select to_date('10.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 70 val from dual union all
                   select to_date('10.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
                   select to_date('10.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                   select to_date('10.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
                   select to_date('10.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
                   select to_date('10.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
                   select to_date('10.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
                   select to_date('10.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
                   select to_date('10.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual)
select   ts, val
from     sampledata
order by ts asc;How should I change the select statement to skip all data sets before the first minimum and the duplicates after the maximum of a day in order to get such a result:
TS     VAL
09.09.12 06:12     23
09.09.12 07:12     29
09.09.12 08:12     30
09.09.12 09:12     45
09.09.12 10:12     60
09.09.12 11:12     75
09.09.12 12:21     95
09.09.12 13:21     120
09.09.12 14:21     142
10.09.12 06:12     14
10.09.12 07:12     34
10.09.12 08:12     58
10.09.12 09:12     70
10.09.12 10:12     120
10.09.12 11:12     142
10.09.12 12:21     153Thank you

This solution works perfectly when the accumulated value has its low and its high on the same day. But I found out :( , that there is also data, which has its low yesterday and its high today. For a better understandig of the case, there is a machine, wich is working over 3 Shifts with irregular start and end time. For example Shift1 cann start at 5:50 or at 7:15. The accumulated value of the worked time is accumuated for each shift extra. This solution works for the shift 1 (approximate between 06:00-14:00) and for the shift 2(approximate between 14:00-22:00), because there is the low and the high of the accumulated value on the same day. This solution does not work for the shif 3(approximate between 22:00-06:00), because the high of the accumulated value is or can be the next day.
So the thread title should be: "Select just the values between min and max of an accumulated value over the same day(today) or over two successive days (yesterday and today)
Sampledata for shift 1 or shift 2:
{code}
with sampledata as (select to_date('09.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 23 val from dual union all
select to_date('09.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 29 val from dual union all
select to_date('09.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 30 val from dual union all
select to_date('09.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 45 val from dual union all
select to_date('09.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 60 val from dual union all
select to_date('09.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 75 val from dual union all
select to_date('09.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 95 val from dual union all
select to_date('09.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('09.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('09.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('09.09.2012 17:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('09.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('09.09.2012 23:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 143 val from dual union all
select to_date('10.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 144 val from dual union all
select to_date('10.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 145 val from dual union all
select to_date('10.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 147 val from dual union all
select to_date('10.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 148 val from dual union all
select to_date('10.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
select to_date('10.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
select to_date('10.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
select to_date('10.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
select to_date('10.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
select to_date('10.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual)
, got_analytics     AS
     SELECT ts, val
     ,     MIN (val) OVER ( PARTITION BY TRUNC (ts)
                    ORDER BY      ts DESC
                    )      AS min_val_after
     ,     CASE
          WHEN ROW_NUMBER () OVER ( PARTITION BY TRUNC (ts)
                         ORDER BY     val
                         ,      ts
                         ) = 1
          THEN -1 -- Impossibly low val
          ELSE LAG (val) OVER ( PARTITION BY TRUNC (ts)
                         ORDER BY      ts
          END           AS prev_val
     ,     MIN (val) OVER (PARTITION BY     TRUNC (ts))
                    AS low_val_today
     ,     NVL ( LAST_VALUE (val) OVER ( ORDER BY ts
                         RANGE BETWEEN UNBOUNDED PRECEDING
                              AND     ts - TRUNC (ts) PRECEDING
          , -1
          )          AS last_val_yesterday
     FROM sampledata
SELECT     ts
,     val
FROM     got_analytics
WHERE     val          <= min_val_after
AND     val          > prev_val
AND     (      val     > low_val_today
     OR     val     != last_val_yesterday
ORDER BY ts
{code}
with the expected results:
{code}
1     09.09.2012 06:12:02     23
2     09.09.2012 07:12:03     29
3     09.09.2012 08:12:04     30
4     09.09.2012 09:12:11     45
5     09.09.2012 10:12:12     60
6     09.09.2012 11:12:13     75
7     09.09.2012 12:21:24     95
8     09.09.2012 13:21:26     120
9     09.09.2012 14:21:27     142
10     10.09.2012 06:12:02     143
11     10.09.2012 07:12:03     144
12     10.09.2012 08:12:04     145
13     10.09.2012 09:12:11     146
14     10.09.2012 10:12:12     147
15     10.09.2012 11:12:13     148
16     10.09.2012 12:21:24     153
{code}
And the sampledata for shift 3 is:
{code}
with sampledata as (select to_date('08.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 23 val from dual union ALL
select to_date('08.09.2012 02:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 45 val from dual union all
select to_date('08.09.2012 05:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 78 val from dual union all
select to_date('08.09.2012 06:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 08:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 10:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 12:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 16:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 17:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 19:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 21:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 22:00:12', 'dd.mm.yyyy hh24:mi:ss') ts, 24 val from dual union all
select to_date('08.09.2012 22:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 40 val from dual union all
select to_date('08.09.2012 23:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 68 val from dual union all
select to_date('09.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 79 val from dual union all
select to_date('09.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 124 val from dual union all
select to_date('09.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 125 val from dual union all
select to_date('09.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 126 val from dual union all
select to_date('09.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 17:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union ALL
select to_date('09.09.2012 22:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 5 val from dual union ALL
select to_date('09.09.2012 22:51:33', 'dd.mm.yyyy hh24:mi:ss') ts, 23 val from dual union all
select to_date('09.09.2012 23:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 40 val from dual union all
select to_date('10.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 50 val from dual union all
select to_date('10.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 60 val from dual union all
select to_date('10.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 78 val from dual union all
select to_date('10.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 145 val from dual union all
select to_date('10.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual)
, got_analytics AS
SELECT ts, val
, MIN (val) OVER ( PARTITION BY TRUNC (ts)
ORDER BY ts DESC
) AS min_val_after
, CASE
WHEN ROW_NUMBER () OVER ( PARTITION BY TRUNC (ts)
ORDER BY val
, ts
) = 1
THEN -1 -- Impossibly low val
ELSE LAG (val) OVER ( PARTITION BY TRUNC (ts)
ORDER BY ts
END AS prev_val
, MIN (val) OVER (PARTITION BY TRUNC (ts))
AS low_val_today
, NVL ( LAST_VALUE (val) OVER ( ORDER BY ts
RANGE BETWEEN UNBOUNDED PRECEDING
AND ts - TRUNC (ts) PRECEDING
, -1
) AS last_val_yesterday
FROM sampledata
SELECT ts
, val
FROM got_analytics
WHERE val <= min_val_after
AND val > prev_val
AND ( val > low_val_today
OR val != last_val_yesterday
ORDER BY ts
{code}
with the unexpected results:
{code}
- ts val
1     08.09.2012 00:04:08     23
2     08.09.2012 22:12:13     40
3     08.09.2012 23:21:24     68
4     09.09.2012 22:21:33     5
5     09.09.2012 22:51:33     23
6     09.09.2012 23:21:33     40
7     10.09.2012 00:04:08     50
8     10.09.2012 01:03:08     60
9     10.09.2012 02:54:11     78
10     10.09.2012 03:04:08     142
11     10.09.2012 04:04:19     145
12     10.09.2012 05:04:20     146
{code}
The result should be:
{code}
- ts val
1     08.09.2012 00:04:08     23
2     08.09.2012 02:04:08     45
3     08.09.2012 05:03:08     78
4     08.09.2012 06:54:11     90
5     08.09.2012 22:00:12     24
6     08.09.2012 22:12:13     40
7     08.09.2012 23:21:24     68
8     09.09.2012 01:03:08     79
9     09.09.2012 02:54:11     124
10     09.09.2012 03:04:08     125
11     09.09.2012 04:04:19     126
12     09.09.2012 05:04:20     127
13     09.09.2012 22:21:33     5
14     09.09.2012 22:51:33     23
15     09.09.2012 23:21:33     40
16     10.09.2012 00:04:08     50
17     10.09.2012 01:03:08     60
18     10.09.2012 02:54:11     78
19     10.09.2012 03:04:08     142
20     10.09.2012 04:04:19     145
21     10.09.2012 05:04:20     146
{code}
Thank you for your help!

OBIEE- Calculating Min and Max Values

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