I have a sample data like this
ID DATE TIME STATUS
---------------------------------------------
A 01-01-2000 0900 ACTIVE
A 05-02-2000 1000 INACTIVE
A 01-07-2000 1300 ACTIVE
B 01-05-2005 1000 ACTIVE
B 01-08-2007 1050 ACTIVE
C 01-01-2010 0900 ACTIVE
C 01-07-2010 1900 INACTIVE
From the above data set, if we only focus on ID='A' we note that A was initally active, then became inactive on 05-02-2000 and then it was inactive until 01-07-2000.
Which means that A was inactive from 05-Feb-2000 to 01-July-2000.
My questions are:
-
if I execute a query with
(ID=A, Date=01-04-2000)it should give meA 05-02-2000 1000 INACTIVEbecause since that date is not available in that data set, it should search for the previous one and print that
-
Also, if my condition is
(ID=A, Date=01-07-2000)it should not only print the value which is present in the table, but also print a previous valueA 05-02-2000 1000 INACTIVE A 01-07-2000 1300 ACTIVE
I would really appreciate if any one can assist me solve this query. I am trying my best to solve this.
Thank you every one.
Any take on this?
Afaq
Something like the following should work:
This will return at most two rows. Its not clear if you are using Date and Time datatyped columns, or if you are actually using reserved words as column names, so you’ll have to fuss with that. (I left out Time, but you could easily add that to the various orderings and filterings.)
Given the revised criteria, it gets a bit trickier, as the inclusion or exclusion of a row depends upon the value returned in a different row. Here, the “second” row, if there are two or more rows, is included only if the “first” row equals a particular value. The standard way to do this is to query the data to get the max value, then query it again while referencing the result of the first set.
However, you can do a lot of screwy things with row_number. Work on this:
You’ll have to resolve the date/time issue, since this only works against dates.