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  2. RPG400-L
  3. June 2010

Re: Speed in Reading

Yes, I've done that too with good results, but in my case I was reading a significantly large transaction file and updating many summary files. Splitting up the transaction file largely by RRN and processing between 7 and 10 in parallel significantly reduced the elapsed time, but did drive the CPU hard.

Sam

On 6/4/2010 5:54 PM, Peter Connell wrote:
Kurt,
While there are undoubtedly horses for courses I have been tasked with data mining tasks over the last year where there are 10 million or more records driving the process each of which itself may generate scores of other reads. I've found that submitting up to simultaneous 10 jobs, each of which accepts parameters as to which portion of the input file drives it, has yielded exceptional performance. This does drive CPU right up but permits huge volumes to be processed overnight.

Peter

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