Sort records when there is no timestamp

Hello All,
I'd like to know how we can do a sort based on timestamp on an oracle table when there is no timestamp column. I have a table
create table x_log (A varchar,B varchar,C varchar); /* note I do not have a timestamp col */
I'd like to know if its possible to find the records updated/inserted on an hourly basis for about a week's time. I do not have timestamp column here. Any help in this regard is greatly appreciated.
Thanks All.

of course it can be accomplished and you have more than one option, I would start with (2) in your case
1. trigger - you use setup UPDATE trigger on that table, it would then do whatever you want after anybody runs update, ...
2. use ORA_ROWSCN pseudo column - this is a sequence column but at the end can tell you when each record was updated http://blog.tanelpoder.com/2009/02/07/when-was-a-table-last-changed/
3. use data change notification http://download.oracle.com/docs/cd/B19306_01/appdev.102/b14251/adfns_dcn.htm

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Using the DB_GET_BOTH_RANGE flag doesn't seem to work when there is a
single record for a key.
Here's a sample Python program that illustrates the problem. If you
don't know Python, then consider this to be pseudo code. :)
from bsddb3 import db
import os
env = db.DBEnv()
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env.open('t',
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cursor.close()
data.close()
env.close()
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who's data begins with '7' couldn't be found. If I uncomment wither of
the commented out puts, so that there is more than one record for the
key, then the get with DB_GET_BOTH_RANGE works.
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You can use the DB_SET flag which will look for an exact key match. If
you use it with the DB_MULTIPLE_KEY flag, it will return multiple keys
after the point it gets a match. If you can post here how all your
LIKE QUERIES look, I may be able to provide you with the suited
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I'm leveraging duplicate keys to implement a nested mapping:
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A. Get the most recent data for an object id.
B. Get the data for an object id and timestamp.
C. Get the most recent data for an object id who's timestamp is before
a given timestamp.
For query A, I can use DB->get.
For query B, I want to do a prefix match on the values. This can be
thought of as a like query: "like <inverse-time-stamp>%", but it can
also be modelled as a range search: "get the smallest record that is >=
a given inverse time stamp". Of course, after such a range search,
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For query C, I really want to do a range search on the inverse time
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I could model this instead as {oid+timestamp -> data}, but then I'd
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We tried using BDB as a back end for our database (ZODB) several years
ago and it didn't scale well. I think there were 2 reasons for
this. First, we used the btree access method for all of our
databases. Second, we used too many tables. This time, I'm hoping that
the hash access method and a leaner design will provide better
scalability. We'll see. :)
If you want to start
on a key partial match you should use the DB_SET_RANGE flag instead of
the DB_SET flag.I don't want to do a key partial match.
Indeed, with DB_GET_BOTH_RANGE you can do partial
matches in the duplicate data set and this should be used only if you
look for duplicate data sets.I can't know ahead of time whether there will be duplicates for an
object. So, that means I have to potentially do the query 2 ways,
which is quite inconvenient.
As you saw, the flags you can use with cursor.get are described in
detailed here.But it wasn't at all clear from the documentation that
DB_GET_BOTH_RANGE wouldn't work unless there were duplicates. As I
mentioned earlier, I think if this was documented more clearly and
especially of there was an example of how one would work around the
behavior, someone would figure out that behavior wasn't very useful.
What you should know is that the usual piece of
information after which the flags are accessing the records, is the
key. What I advice you is to look over Secondary indexes and Foreign
key indexes, as you may need them in implementing your queries.I don't see how secondary indexes help in this situation.
BDB is
used as the storage engine underneath RDBMS. In fact, BDB was the
first "generic data storage library" implemented underneath MySQL. As
such, BDB has API calls and access methods that can support any RDBMS
query. However, since BDB is just a storage engine, your application
has to provide the code that accesses the data store with an
appropriate sequence of steps that will implement the behavior that
you want.Yup.
Sometimes you may find it unsatisfying, but it may be more
efficient than you think.Sure, I just think the notion that DB_GET_BOTH_RANGE should fail if
the number of records for a key is 1 is rather silly. It's hard for me
to imagine that it would be less efficient to handle the non duplicate
case. It is certainly less efficient to handle this at the application
level, as I'm likely to have to implement this with multiple database
queries. Hopefully, BDB's cache will mitigate this.
Thanks again for digging into this.
Jim

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rambo81 wrote:
True but that answer is not really helping this situation either?
It's indisputably true, which is more than can be said for the results of querying this data.
The data is from an old legacy flat file database that has been exported into a relational database.
It should have been normalized at the time it was imported.
Without having to redesign the data model what options do I have in changing the PL/SQL to cater for multiple occurances
In my professional opinion, none. The actual problem is the data model, so that's what should be changed.

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=
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Message was edited by:
jvega

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