Gaps in interval data

Hi Gurus,
I am using oracle 11.2.0.1 Enterprise Edition. And I tried writing query different ways but unable to get going. Your help is greatly appreciated.
The Query should give output as I explained below.
This query is identify the gaps in interval reads.
Here is my create script.
create table rtype (
rid number,
rdesc varchar2(30));
insert into rtype values (1, '5-deviceinterval');
insert into rtype values (2, '15-deviceinterval');
create table readings (
device_id number,
rid number,
qstartid     number,
qfinishid     number,
readvalue number,
readtimestamp date);
insert into readings values (123, 1, null,null, .951, to_date('05/01/2012 00:00:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1, null,null, .51, to_date('05/01/2012 00:05:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1, null,null, .51, to_date('05/01/2012 00:10:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1, null,null, .51, to_date('05/01/2012 00:15:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1, null,null, .51, to_date('05/01/2012 00:20:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1, null,null, .51, to_date('05/01/2012 01:00:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1, null,null, .61, to_date('05/01/2012 01:05:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1, null,null, .41, to_date('05/01/2012 01:10:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1, null,null, .31, to_date('05/01/2012 01:15:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1, null,null, .23, to_date('05/01/2012 01:20:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1, null,null, .69, to_date('05/01/2012 01:25:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1, null,null, .85, to_date('05/01/2012 01:30:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1, null,null, .51, to_date('05/01/2012 02:10:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1, null,null, .61, to_date('05/01/2012 02:15:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1, null,null, .41, to_date('05/01/2012 02:20:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1, 1,     null, .31, to_date('05/01/2012 02:25:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1,null,1, .23, to_date('05/01/2012 03:20:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1,null,null, 2.23, to_date('05/01/2012 03:25:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1,null,null, .23, to_date('05/01/2012 03:30:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123,2,null,null, 16.71, to_date('05/01/2012 01:00:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123,2,null,null, 17.81, to_date('05/01/2012 01:15:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123,2,null,null, 191.11, to_date('05/01/2012 01:30:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123,2,null,null, 221.11, to_date('05/01/2012 01:45:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123,2,null,null, 61.71, to_date('05/01/2012 02:00:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123,2,null,null, 71.81, to_date('05/01/2012 03:15:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123,2,null,null, 911.11, to_date('05/01/2012 03:30:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123,2,null,null, 121.11, to_date('05/01/2012 04:45:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123,2,null,null, 61.71, to_date('05/01/2012 05:00:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123,2,null,null, 72.81, to_date('05/01/2012 05:15:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123,2,null,null, 941.11, to_date('05/01/2012 05:30:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (456,2,null,null, 6.71, to_date('05/01/2012 01:00:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (456,2,null,null, 7.81, to_date('05/01/2012 01:15:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (456,2,null,null, 91.11, to_date('05/01/2012 01:30:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (456,2,null,null, 121.11, to_date('05/01/2012 01:45:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (456,2,null,null, 6.71, to_date('05/01/2012 02:00:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (456,2,null,null, 7.81, to_date('05/01/2012 03:15:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (456,2,1,null, 91.11, to_date('05/01/2012 03:30:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (456,2,null,1, 121.11, to_date('05/01/2012 04:45:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (456,2,null,null, 6.71, to_date('05/01/2012 05:00:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (456,2,null,null, 7.81, to_date('05/01/2012 05:15:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (456,2,null,null, 91.11, to_date('05/01/2012 05:30:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (456,2,null,null, 121.11, to_date('05/01/2012 06:45:00','mm/dd/yyyy HH24:MI:SS'));
I would like to get output as below. I have billions of records in readings table, so would like to have good performance.
As you can see rtype 1 is 5 minutes reading interval and rtype 2 is 15 minutes reading time interval.
Expected output
device_id     rtype          missing_interval_date_time     qty
123          1          05/01/2012 00:30:00
123          1          05/01/2012 00:35:00
123          1          05/01/2012 00:40:00
123          1          05/01/2012 00:45:00
123          1          05/01/2012 00:55:00
123          1          05/01/2012 01:35:00
123          1          05/01/2012 01:40:00
123          1          05/01/2012 01:45:00
123          1          05/01/2012 02:05:00
123          1          05/01/2012 02:30:00          1 - Since quality data start with qstartid
123          1          05/01/2012 02:35:00          1
123          1          05/01/2012 02:40:00          1
123          1          05/01/2012 02:45:00          1
123          1          05/01/2012 03:15:00          1 - end quality data with qendid
123          1          05/01/2012 03:35:00
123          1          05/01/2012 03:40:00
123          1          05/01/2012 23:55:00
123          2          05/01/2012 00:00:00 --(Similarly for same device_id another rtype with 15 min interval)
123          2          05/01/2012 00:15:00
123          2          05/01/2012 00:30:00
123          2          05/01/2012 00:45:00
123          2          05/01/2012 02:15:00
123          2          05/01/2012 02:30:00
123          2          05/01/2012 02:45:00
123          2          05/01/2012 03:00:00
123          2          05/01/2012 03:45:00
123          2          05/01/2012 04:00:00
123          2          05/01/2012 04:15:00
123          2          05/01/2012 04:30:00
123          2          05/01/2012 05:45:00
123          2          05/01/2012 05:50:00
123          2          05/01/2012 23:30:00
123          2          05/01/2012 23:45:00
456 ....
Edited by: MDK999 on Oct 17, 2012 5:30 PM

Hello
Yes, I have edited other information also such as -
"This query is identify the gaps in interval reads" and I explained that the way output should report the missing intervals. Actually expected output explains the data how it should look like. This output is created based on sample data I have provided.
basically there are two rtypes, one has 5 minutes interval and other one has 15 minutes.
so as you can see that missing intervals between below two reads '05/01/2012 00:25:00' and '05/01/2012 01:00:00' should be as below since its 5 minutes interval data based on rtype=1
123          1          05/01/2012 00:30:00
123          1          05/01/2012 00:35:00
123          1          05/01/2012 00:40:00
123          1          05/01/2012 00:45:00
123          1          05/01/2012 00:55:00
Similarly readings between two reads '05/01/2012 02:00:00' and '05/01/2012 03:15:00' should be as below since its 15 minutes interval data based on rtype = 2
123          2          05/01/2012 02:15:00
123          2          05/01/2012 02:30:00
123          2          05/01/2012 02:45:00
123          2          05/01/2012 03:00:00
And
when qstartid 1 , means there is missing interval data because there is some quality. So we just need to report that this missing interval data due to quality flag observed. there is qstartid=1 means quality reading start qfinishid=1, end of quality data.
insert into readings values (123, 1, 1,     null, .31, to_date('05/01/2012 02:25:00','mm/dd/yyyy HH24:MI:SS'));
insert into readings values (123, 1,null,1, .23, to_date('05/01/2012 03:20:00','mm/dd/yyyy HH24:MI:SS'));
So missing interval output should be
123          1          05/01/2012 02:30:00          1 - Since quality data start with qstartid
123          1          05/01/2012 02:35:00          1
123          1          05/01/2012 02:40:00          1
123          1          05/01/2012 02:45:00          1
123          1          05/01/2012 03:15:00          1 - end quality data with qfinishid
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                          FROM DATE_TAB)
              connect by rownum < 1000) B ) A
WHERE A.MISSING_MONTHS <=(SELECT MAX(TRUNC(RETURN_DT, 'MON')) FROM DATE_TAB)
AND A.MISSING_MONTHS NOT IN (SELECT TRUNC(RETURN_DT, 'MON') FROM DATE_TAB)

Interval date get the to value

Hi experts,
I have a manual input interval variable for the object 0calday and I would like to "isolate" the "to value" because in the column section, I have a column for "period amount" and another one to "last date of the period amount".
I've tried with a formula with 2 replacement path variables in it , but without success.
Is it possible to do that with a formula or a variable in QD or, should I go with a user exit variable ??
Thanks.

Hi,
as I understand the issue, you want to create a text variable for
column header.
I think you should cretae a text variable and use customer exit.
sample
WHEN 'YOUR_TEXT_VARIABLE'.
    IF I_STEP = 2.
      LOOP AT I_T_VAR_RANGE INTO LOC_VAR_RANGE
              WHERE VNAM = 'VAR_FOR_0CALDAY'.
        CLEAR L_S_RANGE.
        L_S_RANGE-LOW = LOC_VAR_RANGE-HIGH.
        L_S_RANGE-SIGN     = 'I'.
        L_S_RANGE-OPT      = 'EQ'.
        APPEND L_S_RANGE TO E_T_RANGE.
        EXIT.
      ENDLOOP.
    ENDIF.
'YOUR_TEXT_VARIABL represents name of created text variable, 'VAR_FOR_CALDAY' name of variable for 0CALDAY.
Hope this helps
Joe

Filling the gap with previous data and newdate...

input data
GLOBAL_NAME     PRODUCT_MODEL     TRX_TYPE     POS_DATE     QUANTITY
ABC          MAW3147NC     POS          3/17/2008     111
ABC          MAW3147NC     POS          4/14/2008     100
ABC          MAW3147NC     POS          5/26/2008     200
ABC          MAW3147NC     SHIPMENT     3/17/2008     222
ABC          MAW3147NC     SHIPMENT     4/7/2008     40
ABC          MAW3147NC     SHIPMENT     4/14/2008     80
ABC          MAW3147NC     SHIPMENT     4/21/2008     160
ABC          MAW3147NC     SHIPMENT     4/28/2008     162
ABC          MAW3147NC     SHIPMENT     5/19/2008     182
ABC          MAW3147NC     SHIPMENT     5/26/2008     262output
GLOBAL_NAME     PRODUCT_MODEL     TRX_TYPE     POS_DATE     QUANTITY
ABC          MAW3147NC     POS          3/17/2008     111
ABC          MAW3147NC     POS          3/24/2008     111 --> previous record values but pos_date should be next monday
ABC          MAW3147NC     POS          3/31/2008     111--> previous record values but pos_date should be next monday
ABC          MAW3147NC     POS          4/7/2008     111--> previous record values but pos_date should be next monday
ABC          MAW3147NC     POS          4/14/2008     100
ABC          MAW3147NC     POS          4/21/2008     100--> previous record values but pos_date should be next monday
ABC          MAW3147NC     POS          4/28/2008     100--> previous record values but pos_date should be next monday
ABC          MAW3147NC     POS          5/05/2008     200
ABC          MAW3147NC     SHIPMENT     3/17/2008     222
ABC          MAW3147NC     SHIPMENT     3/24/2008     222--> previous record values but pos_date should be next monday
ABC          MAW3147NC     SHIPMENT     3/31/2008     222--> previous record values but pos_date should be next monday
ABC          MAW3147NC     SHIPMENT     4/7/2008     40
ABC          MAW3147NC     SHIPMENT     4/14/2008     80
ABC          MAW3147NC     SHIPMENT     4/21/2008     160
ABC          MAW3147NC     SHIPMENT     4/28/2008     162
ABC          MAW3147NC     SHIPMENT     5/05/2008     162--> previous record values but pos_date should be next monday
ABC          MAW3147NC     SHIPMENT     5/12/2008     162--> previous record values but pos_date should be next monday
ABC          MAW3147NC     SHIPMENT     5/19/2008     182
ABC          MAW3147NC     SHIPMENT     5/26/2008     262all posdates are monday dates?
any ideas?

In other words that monday is missing from the original data set, so you are missing mondays and want to recover them by copying the data down from the last existing monday.
Here's some code that you can modify that will do just that. SEQ_WITH_GAPS and X correspond to the original data with gaps, while SEQ_WITH_NO_GAPS and COPY is the data you are looking for. You just need to define the source of your filler data to provide all the dates of interest and join it to your POS_DATE column and replicate the copy column for each of the columns of your original data that you want to copy.
WITH mydata AS
    ( SELECT level x, sum(level) over (order by level) seq_with_gaps
        FROM dual CONNECT BY level < 5
, filler AS
    ( SELECT level seq_with_no_gaps FROM dual CONNECT BY level <= 12
SELECT seq_with_gaps
, x
, seq_with_no_gaps
, last_value( x ignore nulls ) over( order by f.seq_with_no_gaps ) copy
   FROM mydata d
RIGHT JOIN filler f
     ON d.seq_with_gaps=f.seq_with_no_gaps
SEQ_WITH_GAPS    X                     SEQ_WITH_NO_GAPS    COPY
1                1                     1                   1
                                       2                   1
3                2                     3                   2
                                       4                   2
                                       5                   2
6                3                     6                   3
                                       7                   3
                                       8                   3
                                       9                   3
10               4                     10                  4
                                       11                  4
                                       12                  4
12 rows selected

Mixing SourceDataLine with Clip with initial gap and interval

Hi!
I have one long (wav or aif) file. I want to "watermark" it with small clip file (*.wav). How could I mix them to get long file watermarked with clip with initial gap and specific interval (I mean in output file the clip is played after 10s, then after 20s interval clip is played again, next 20s and again etc)?
Could this be done? Could You give me simple hints?

zielonyplot wrote:
Hi!
I already did it. I had to modify MixingAudioInputStream, but it was't so simple as it sounds... ;-)Oh, I'm sure it was a pain and a half ;-) But certainly less work than mixing the streams at the sample-level yourself ;-)
But thanks!Glad you got it working....

Does Oracle (12c) manage the interval data (6NF) ?

Hi!
I would like to know if Oracle (12c) supports the data type interval.
In other words, does it manage the Normal Form Six (6NF) with temporal data?
Thank you in advance for your answer.
N.B.:
And if yes, please precise since which version does Oracle support the intervals. Thank you.

Sb92075, You're a genius !
But you did not read exactly my question here: the additional question is Since which version are the intervals supported?
(A copy paste from an unfindable documentation would be appreciated.)
That was my proper question on DbForums, before having connexion problem for a special Oracle Support - but not Premium - and precisions asking of Oracle...
during all this time, these answers were made.
That was a question which I had for monthes ago, so this is why I already asked in several forums.
Let me post here my response to them for the case where you can answer:
-Something that I don't really understand, reading the docs:
INTERVAL YEAR [(year_precision)] TO MONTH, what does it mean, exactly ? I guess that "to month" means the granularity of time. But for me, if I say "to", is as in "from... to", so it doesn't make any sense in this interval example.
In his book, Temporal data and the relational model, Date recommend to write as:
[begin:end], so if I translate:
[2013-11-18 21H10M00s : 2013-11-18 21H15M00s] (the exact writing is from me).
According that.. the granularity of time is implicit in the dates precision!
Did I make a mistake ?"
Thank you

Interval dates in Table V_T706B2

Hello,
During customizing of messages types (warning or error) when exepenses exceed limit, i wants to know how the fields "Start date" and "End date" works.
Those date range can take into account a different limit expenses from one period to another?
Example: If in 2010 we change the limit, can we continue to manage the old limit for expense statements for 2009?
Thank you in advance

Resolved

Binary Data file displays large gaps in the data. Will use of a queue help?

Ultimately I'd like to save 15 channels of data (1 channel at 20kHz, 6 at 2kHz, and 8 at 100 Hz) while displaying the waveforms on the front panel.
Currently, I am saving in binary format without any decimation of the data (therefore saving all channels at 20kHz). Decimating the waveforms can be done without affecting the display, and will definitely reduce the final size of the data files, but will slow down the processing. I've seen examples of using queues to limit data loss, but do not know if it will be advantageous in this case.
Any comments and suggestions will be greatly appreciated.
Attachments:
Cont_Acq_to_File_(binary)_NM-no_dec.llb ‏546 KB
Cont_Acq_to_File_(binary)_NM-dec ‏531 KB

So let's say that I'm going to use queues. Is it better to have an acquisition loop and then a 'everything else' loop (decimation and data recording) or is it possible (and better?) to use 3 loops? I'm assuming with each queue segment, the time spent reading and writing the data will increase, and therefore slow down my vi even more than it is doing now.
And another question: in the case of the tabbed case structure, my charts are only active when the corresponding tab is selected, correct? If I would then put the recording of data in each case, then the data would be recorded for only those signals which are displayed on that tab. I'm not completely confident that I understand how that structure works, or how I can make the data recording more efficient.
Thank you for all of your help, and for the compliment.

Gaps in interval data

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