Dear Monks,

I have a daily log file with tens of millions of records like:
====================================================================== Record: 9868943 Version: 2 Timestamp: Sat Feb 18 22:33:43 2006 Primary (Reporting) ID: 240 Level: 2 Group: 1 Reg: no Event: 51748 Keep: 1 ID-Node: 0x2017 Inverse: 25 Secondary ID: Keep: 1 ID: 68 Inverse: 23 Keep: 1 ID: 240 Inverse: 27 Keep: 1 ID: 368 Inverse: 30 ====================================================================== Record: 9868944 Version: 2 Timestamp: Sat Feb 18 22:33:44 2006 Primary (Reporting) ID: 67 Level: 9 Group: 0 Reg: no Event: 51749 Keep: 1 ID-Node: 0xA087 Inverse: 55 Secondary ID: Keep: 1 ID: 62 Inverse: 73 ====================================================================== +=

I need to get the "Primary (Reporting) ID", "Level", "Group", "ID-Node", and "Inverse" values. I also need to get n-to-4 of the "Secondary ID" fields stripped out of each record which I will then insert into a DB.

I thought about using a regexp to replace all spaces with a comma and the "===" lines with a "\n" and write it to a temp file.

Then I'd iterate line by line over the temp file splitting the CSV string into an array and then get my data elements like that. Similar to what I saw at Parsing multi-line records

Does that sound like a good start or should I be trying another method?

In reply to Need Record Parsing Advice by awohld

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