By summing, I mean that if I had all of the records in a table without tstamp as a primary key, but wanted to create a new table that was modifiable to have it, I would:

Create table new_table as select tstamp, sum(op100), sum(op700), sum(total) from old_table group by tstamp

And then add my primary key rule

The script runs every fifteen minutes. The data is from a web services broker that appears to only put one of 8 or 9 opcode types per file. so you'll see a file with 4-5k of WAP 1.X requests followed by a bunch of files that have 2 or 4 (no k) ldap updates or other such maintenance traffic, followed by a file with 2-4k of WAP 2.0 requests... All in All, I end up with a couple thousand files per day and I'm pulling around 800-850k lines of data and digesting it down to a max of 86,400. I'm thinking that I'm running about 1500 pk violations per day, which is why I can to the conclusion that my original algorithm was too inefficient.

I don't think IGNORE is a valid option, because I don't want to lose any data. And it appears I was remembering Oracle when I thought it would write erring records to a file... or it was just wishful thinking.

Since I know my range of time stamps and they should be limited to a query size of ~900 per run, that LanceDeeply's suggestion is my best option.

Thanks!

jimbus

Never moon a werewolf!

In reply to Re: DBI vs Bulk Loading by jimbus
in thread DBI vs Bulk Loading by jimbus

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