PL/SQL :: Search Rows Between Timestamps

Apr 24, 2013

I ran this following query and somehow i feel the results are wrong.

SQL> select to_char(starttime,'dd-mm-YYYY hh24:mi:ss') from report where dateofmonth between to_timestamp_tz('22-Apr-2013 12:00:00','dd-mm-YYYY hh24:mi:ss') and to_timestamp_tz ('23-Apr-2013 14:00:00','dd-mm-YYYY hh24:mi:ss');

TO_CHAR(STARTTIME,'
-------------------
23-04-2013 22:43:59
23-04-2013 13:43:37

SQL> select to_timestamp_tz(starttime,'dd-mm-YYYY hh24:mi:ss') from report where dateofmonth between to_timestamp_tz('22-Apr-2013 12:00:00','dd-mm-YYYY hh24:mi:ss') and to_timestamp_tz ('23-Apr-2013 14:00:00','dd-mm-YYYY hh24:mi:ss');

TO_TIMESTAMP_TZ(STARTTIME,'DD-MM-YYYYHH24:MI:SS')
---------------------------------------------------------------------------
23-APR-13 10.43.59 PM -07:00
23-APR-13 01.43.37 PM -07:00

I am not sure why the 10 PM time is coming up in the result.

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My control file

LOAD DATA
Infile code_val_new.dat
BADFILE sample.bad
DISCARDFILE sample.dsc

[code]...

18 7BLM AGS ELEM BUILDING MATHEMATICAL EXTRACT Oct 4 2012 3:19:26:000AM

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How to select the transactions out of the database that occurred within 70 seconds of each other. The toll_date field is a TIMESTAMP field.

Problem is, I seem to only get transactions that occurred within 70 minutes of each other. On the timestamp field I break the math down into the seconds in a day and I add 70. I then subtract that value and add that value to the timestamp and I should get anything between those values right?

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[code]......

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Jul 8, 2013

view the below select statement..why it's adding extra zero's...

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Nov 28, 2010

I have a requirement to create the table monthly.The tablename will be the o/p of the following select query.

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I am trying to create the table for creating the backup of the existing table TBR_AND_SECURITY_DEPOSIT.

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but it is throwing error as invalid table name.

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Jan 2, 2013

I have to create the following table. The fields Trend_Date, Price and Trend are already given. I have to calculate the field permanently and to insert the value in this permanent table.

Fields:

The field price belong to the value of a product during the trade.
The field trade_date belongs to the moment of the trade.
The field trend belongs to the future behavior of the the price. Here, the price of the present moment is compared to the following price (possible characteristics: 'UP', 'DOWN', 'STABLE').
The field permanently belongs to the time (in seconds) how long the value of the field Trend_Date (depending on the price) is still true.

For example:

Row 1: The trend in row 1 is 'UP' and it has a price of '11'. Until row 3 this remains true (the price is greater or equal to 11). In this case, the difference between row 1 and row 3 are 9801 (rounded) seconds.

Row 2: The trend in row 2 is 'DOWN' and it has a price of '12'. This remains true till to the end (the price is never greater than 12) In this case, the difference between row 2 and row 11 are 97346 (rounded) seconds. To calculate the 97346 seconds the field has to consider that between row 2 and row 11 are two days. There will be no trade between 18:00 and 07:00 o'clock. This belongs to 7 hours for each days, in seconds (2*46800) 93600.
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Row 6: The trend in row 6 is 'UP' and it has a price of '5'. This remains true till to the end (the price is never smaller than 5) In this case, the difference between row 6 and row 11 are 65729 (rounded) seconds. To calculate the 65729 seconds the field has to consider that between row 65729 and row 11 are one days. There will be no trade between 18:00 and 07:00 o'clock. This belongs to 7 hours for each days, in seconds (1*46800) 46800.
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Row 9: The trend in row 9 is 'STABLE' and it has a price of '8'. Until row 10 this remains true (the price is equal to 8 ). In this case, the difference between row 9 and row 10 is 14418 (rounded) seconds.

Row 11: Is empty because there are no values to compare.

Example Table

TRADE_DATE --PRICE --TREND --permanently
02.01.13 11:21:42,720000000--11--UP--9801
02.01.13 12:44:03,236000000--12--DOWN--97346
02.01.13 14:05:03,845000000--11--DOWN--92485

[Code]....

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May 26, 2010

Check the following

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SYSTIMESTAMP

[code]...

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Mar 8, 2013

When i run the below query the time zone changes from -06:00 to +06:00 How do i retain the same time zone -06:00? Im in Oracle 10GR2.

select TO_TIMESTAMP_TZ('2013-03-08'||'03:00:00.000-06:00','YYYY-MM-DD HH24:MI:SS.FF TZH:TZM') from dual;
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Mar 23, 2011

SQL statement:

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[code]...

Howto have for every User_ID and the jc_name with the oldest upd_time? One record for each user_id with the oldest timestamp and the jc_name?

the output should be like this

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Jan 11, 2007

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GO

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Sep 25, 2012

how to caluclate days between two dates of single timestamp filed and with this

query
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[code]...

and i nedd to caluclate no.of days between two dates like 27-JAN-12 11.06.20.000000 AM and 08-FEB-12 05.32.54.000000 PM where actn_id is unique AND ACTN_OPP_ID IS NOT UNIQUE.

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Apr 12, 2011

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Formula ->

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Jun 11, 2010

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Left outer join. Works but its incredibly slow:

SELECT
distinct to_char(ule.TIMESTAMP,'YYYY-MM') as "YYYY-MM",
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[code]....

Tried the same with left outer joins of temporary tables created through select statements:

select
distinct ule.month as "Month",
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[code]....

Tried the same with left outer joins of temporary tables created through select statements:

select
distinct ule.month as "Month",
count(distinct p1.user_id) as "Users created",
count (ule.id) as "Logins",
count (distinct ule.user_id) as "Users logged in",
count(rv.id) as "Resource Views",
count(distinct rv.resource_id) as "Resources Viewed"

[code]....

another approach is to create my own temporary tables using select statements and create fixed Month values which I can use to directly link the sets together.

select
distinct ule.loginday as "Month",
count(distinct ule.id) as "Logins",
count(distinct ule.user_id) as "Users logged in",
count(distinct p1.user_id) as "Users created",
count(distinct p2.user_id) as "Existing users1"

[code]....

performance is OK with 2 tables but the example above takes forever to execute.

Tried an approach with union but this creates new rows for each table

SELECT DISTINCT p1.MONTH AS "Month",
COUNT(DISTINCT p1.user_id) AS "Users created",
NULL AS "Logins",
NULL AS "Users Logged in",
NULL AS "Resource views",
NULL AS "Resources viewed"
FROM (SELECT To_char(person.created_on_date, 'YYYY-MM') AS MONTH,

[code]....

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