I expanded my test stack and ran it on the versions I had available. Here's a couple of tests from each version:
macOS Sierra (10.12.6) on an iMac (Retina 5K, 27-inch, Late 2014) 4 GHz i7 9.0.1-rc-1 Business / 8.1.9 Business / 7.1.4 Indy / 6.7.11 Indy 34 10 11 10 34 5 LC9 item: 4562 / array: 12660 / 0.360348 LC8 item: 6175 / array: 13111 / 0.470979 LC7 item: 10994 / array: 11554 / 0.951532 LC6 item: 1278 / array: 4681 / 0.273019 340 10 11 10 34 500 LC9 item: 430179 / array: 125709 / 3.422022 LC8 item: 449724 / array: 131206 / 3.427618 LC7 item: 2473784 / array: 114818 / 21.545263 LC6 item: 258495 / array: 45592 / 5.669745 Notice that even in LC6, for this particular test (the original one), item is faster (and by a bigger margin). I don't think it is as much about the speed of arrays per se, but knowing the data set and using the right approach to get the optimal performance. So, it is probably a reasonable approach to use arrays first. If you need to optimize for speed, this is an area to consider. Thanks, Brian _______________________________________________ use-livecode mailing list use-livecode@lists.runrev.com Please visit this url to subscribe, unsubscribe and manage your subscription preferences: http://lists.runrev.com/mailman/listinfo/use-livecode
