Re: Add New Records Only!

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Ave,

> A better solution would be to add a column in the MySQL table, maybe call it
> "processed" with a default value of 0, and update this value to 1 with each
> row inserted.  Then you are only querying records where processed=0.
> Of course this will not work if you cannot modify the MySQL table.

I have to tell you that this is probably the most efficient & feasible
method suggested yet! Let me take a look at my structure & application and
see how efficiently this can be implemented.

I did think about the cron job midnight update initially - and while it
looked like a possible method, my only problem was that occasionally a
manual update would be required, and I would need a program in place that is
able to handle that. If it were solely an automatic midnight update, I would
have certainly gone the cron way with a date limitation.

Thanks!


On 3/23/07 2:17 PM, "Brad Fuller" <bfuller@xxxxxxxxxxxxxxxx> wrote:

> Rahul wrote:
>> Ave,
>> 
>> It's definitely not live data, so that is not a problem at all. But I'm
>> not
>> sure I understand your method very well.
>> 
>> I do understand getting data from both the existing DBF and the multiple
>> mySQL tables into a temporary mySQL table. But if I do go ahead and do
>> that,
>> I guess I could write a 'delete-duplicates' kind of code that deletes all
>> rows in that temporary table which are duplicates, and then add the
>> leftover
>> into the DBF.
>> 
>> Not sure how this sounds, or how close this is to what you were saying.
>> And
>> not even sure how to implement this.
> 
> 
> Do you need to update this more than once a day?  Is there a date field in
> all the tables?
> 
> If you can do it daily, then query for records from the previous day and run
> it once daily at midnight via cron job.
> 
> If it has to be done more often than once a day there are other solutions.
> 
> One thing I thought is to store the name of the table it came from along
> with the primary key in that table.  These 2 fields combined will be your
> unique identifier.  Store this in your DBF and check for existence before
> you insert.
> 
> With that solution in mind however you're still querying for the entire set
> of data which is very inefficient.
> 
> A better solution would be to add a column in the MySQL table, maybe call it
> "processed" with a default value of 0, and update this value to 1 with each
> row inserted.  Then you are only querying records where processed=0.
> Of course this will not work if you cannot modify the MySQL table.
> 
> Best of luck,
> 
> Brad

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