Benchmark ALL the things!

gistfile1.txt

ips <- mysql_query("SELECT DISTINCT(cuc_ip) FROM cu_changes WHERE cuc_ip IS NOT NULL LIMIT 10000;","enwiki")$cuc_ip

Unit: milliseconds
                            expr      min       lq     mean   median      uq      max neval
 {     test <- c_geo_city(ips) } 50.61829 57.15351 77.02546 60.63893 65.2781 319.1384   100

Unit: seconds
                          expr      min      lq     mean   median       uq      max neval
 {     test <- geo_city(ips) } 1.499703 1.78602 1.935753 1.923845 2.067342 2.564509   100

Unit: milliseconds
                              expr      min       lq     mean   median       uq      max neval
 {     test <- c_geo_region(ips) } 55.51803 61.36651 99.45455 64.61665 113.9436 308.8039   100

Unit: seconds
                            expr      min       lq     mean   median       uq     max neval
 {     test <- geo_region(ips) } 1.829387 2.067188 2.220059 2.181581 2.379472 2.81266   100

Unit: milliseconds
                          expr      min       lq     mean   median     uq      max neval
 {     test <- c_geo_tz(ips) } 37.26041 38.46032 39.63078 39.14693 40.331 46.31718   100

Unit: seconds
                        expr      min       lq     mean   median       uq      max neval
 {     test <- geo_tz(ips) } 1.196125 1.255465 1.415256 1.341104 1.493516 2.411343   100

Unit: milliseconds
                                expr      min       lq     mean   median       uq      max neval
 {     test <- c_geo_netspeed(ips) } 10.11029 10.69904 13.31957 10.94461 16.85531 22.90595   100

Unit: milliseconds
                              expr      min       lq     mean   median       uq      max neval
 {     test <- geo_netspeed(ips) } 647.7697 692.8401 855.9299 889.0443 971.7102 1221.777   100

Unit: seconds
                                         expr      min       lq     mean   median      uq      max neval
 {     test <- c_ua_parse(data, regex_path) } 14.45279 14.62117 14.89684 14.79579 15.0501 17.24928   100