Retail Predictive Application Server (MOSC)

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How to analyze mace performance by log

edited Jan 16, 2018 9:12PM in Retail Predictive Application Server (MOSC) 1 commentAnswered

Hi experts,

There is a rule group in my project, which runs for 5 hours usually. We would like to find the bottle neck and improve it. I run it on a local domain set "-loglevel all".

I can find logs like "<D 2018Jan11 21:34:08.182> 119864666 cells evaluated." to show how many cells are evaluated for a expression.

I can find logs like "<P 2018Jan11 21:34:08.186> TSI:2         78.376770      seconds for Expression::eval" to show how long it takes to finish a expression.

I guess in most cases the more cells being evaluated the longer a expression costs. But I find some non-linear relationship in my statistic.

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