neumarcx commented on issue #568: Add Aggregate Median to SPARQL ARQ syntax URL: https://github.com/apache/jena/pull/568#issuecomment-497073501 yes the run-time results* seem to speak a clear language here. I have posted a question** on the ACM user mailing list. Let's see if someone comes back with an explanation. Our use case in ARQ might not be the best for the ACM implementation. I will update the fork with my own implementation for now and will continue to test it on the staging server. *Test runs: Total # of triple values -> 100,000,000 Avarage of 10 runs my median() Arrays.sort/pivot: 260 ms ACM Median().evaluate: 606 ms ACM ds.getPercentile(50): 666 ms Total # of triple values -> 100,000,000 Avarage of 100 runs my median() Arrays.sort/pivot: 256 ms ACM Median().evaluate: 408 ms ACM ds.getPercentile(50): 365 ms Total # of triple values -> 100,000,000 Avarage of 1000 runs my median() Arrays.sort/pivot: 256 ms ACM Median().evaluate: 436 ms ACM ds.getPercentile(50): 451 ms Total # of triple values -> 1,000,000,000 Avarage of 1 run my median() Arrays.sort/pivot: 2,852 ms ACM Median().evaluate: 20,262 ms ACM ds.getPercentile(50): 33,420 ms ACM = Apache Commons Maths **http://mail-archives.apache.org/mod_mbox/commons-user/201905.mbox/browser
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