History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"regressions"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 894 | 2025-12-23 13:34:24 | regressions | 3 | 121633 | 46 | 5.920 | 20546.1 |
| 893 | 2025-12-20 04:37:43 | regressions | 1 | 49908 | 4 | 2.356 | 21183.4 |
| 892 | 2025-12-20 04:37:32 | regressions | 1 | 49908 | 4 | 2.186 | 22830.7 |
| 891 | 2025-12-16 18:42:23 | regressions | 3 | 121633 | 46 | 6.466 | 18811.2 |
| 890 | 2025-12-16 04:42:42 | regressions | 4 | 148819 | 182 | 9.860 | 15093.2 |
| 889 | 2025-12-08 22:00:36 | regressions | 4 | 148819 | 182 | 9.440 | 15764.7 |
| 888 | 2025-12-08 11:30:20 | regressions | 3 | 121633 | 46 | 4.656 | 26123.9 |
| 887 | 2025-12-08 10:54:41 | regressions | 4 | 148819 | 182 | 10.266 | 14496.3 |
| 886 | 2025-12-07 08:36:48 | regressions | 1 | 49908 | 4 | 0.893 | 55888.0 |
| 885 | 2025-12-07 07:11:25 | regressions | 1 | 49908 | 4 | 1.283 | 38899.5 |
| 884 | 2025-12-04 05:15:32 | regressions | 3 | 121633 | 46 | 9.800 | 12411.5 |
| 883 | 2025-11-30 04:41:22 | regressions | 4 | 148819 | 182 | 9.766 | 15238.5 |
| 882 | 2025-11-26 20:58:15 | regressions | 1 | 49908 | 4 | 0.936 | 53320.5 |
| 881 | 2025-11-25 21:08:12 | regressions | 1 | 49908 | 4 | 0.936 | 53320.5 |
| 880 | 2025-11-24 15:00:50 | regressions | 1 | 49908 | 4 | 1.673 | 29831.4 |
| 879 | 2025-11-19 05:37:32 | regressions | 1 | 49908 | 4 | 0.810 | 61614.8 |
| 878 | 2025-11-16 21:06:15 | regressions | 1 | 49908 | 4 | 0.893 | 55888.0 |
| 877 | 2025-11-12 22:09:01 | regressions | 1 | 49908 | 4 | 0.903 | 55269.1 |
| 876 | 2025-11-07 20:27:19 | regressions | 4 | 148819 | 182 | 9.720 | 15310.6 |
| 875 | 2025-11-06 08:39:18 | regressions | 1 | 49908 | 4 | 0.893 | 55888.0 |
| 874 | 2025-11-05 17:53:14 | regressions | 3 | 121633 | 46 | 5.123 | 23742.5 |
| 873 | 2025-11-04 03:41:06 | regressions | 1 | 49908 | 4 | 0.923 | 54071.5 |
| 872 | 2025-10-30 21:11:28 | regressions | 3 | 121633 | 46 | 5.360 | 22692.7 |
| 871 | 2025-10-30 12:18:47 | regressions | 1 | 49908 | 4 | 0.846 | 58992.9 |
| 870 | 2025-10-28 21:51:27 | regressions | 2 | 86808 | 14 | 2.453 | 35388.5 |
| 869 | 2025-10-28 00:04:04 | regressions | 2 | 86808 | 14 | 2.436 | 35635.5 |
| 868 | 2025-10-27 05:06:22 | regressions | 1 | 49908 | 4 | 0.843 | 59202.8 |
| 867 | 2025-10-26 21:37:57 | regressions | 1 | 49908 | 4 | 0.906 | 55086.1 |
| 866 | 2025-10-26 03:47:49 | regressions | 1 | 49908 | 4 | 0.903 | 55269.1 |
| 865 | 2025-10-25 14:42:29 | regressions | 1 | 49908 | 4 | 0.890 | 56076.4 |
| 864 | 2025-10-22 04:38:46 | regressions | 1 | 49908 | 4 | 0.906 | 55086.1 |
| 863 | 2025-10-19 09:58:39 | regressions | 1 | 49908 | 4 | 2.216 | 22521.7 |
| 862 | 2025-10-18 06:25:21 | regressions | 1 | 49908 | 4 | 0.906 | 55086.1 |
| 861 | 2025-10-13 22:05:13 | regressions | 1 | 49908 | 4 | 0.860 | 58032.6 |
| 860 | 2025-10-11 00:01:15 | regressions | 1 | 49908 | 4 | 0.906 | 55086.1 |
| 859 | 2025-09-29 00:19:23 | regressions | 3 | 121633 | 46 | 4.610 | 26384.6 |
| 858 | 2025-09-27 10:39:12 | regressions | 4 | 148819 | 182 | 9.376 | 15872.3 |
| 857 | 2025-09-27 00:48:46 | regressions | 1 | 49908 | 4 | 0.890 | 56076.4 |
| 856 | 2025-09-26 23:32:52 | regressions | 3 | 121633 | 46 | 4.563 | 26656.4 |
| 855 | 2025-09-26 22:01:14 | regressions | 1 | 49908 | 4 | 0.843 | 59202.8 |
| 854 | 2025-09-24 15:08:17 | regressions | 1 | 49908 | 4 | 0.953 | 52369.4 |
| 853 | 2025-09-23 23:24:10 | regressions | 1 | 49908 | 4 | 0.936 | 53320.5 |
| 852 | 2025-09-21 09:36:10 | regressions | 3 | 121633 | 46 | 5.156 | 23590.6 |
| 851 | 2025-09-18 19:42:43 | regressions | 4 | 148819 | 182 | 9.830 | 15139.3 |
| 850 | 2025-09-18 10:14:08 | regressions | 1 | 49908 | 4 | 0.890 | 56076.4 |
| 849 | 2025-09-17 06:42:08 | regressions | 1 | 49908 | 4 | 1.513 | 32986.1 |
| 848 | 2025-09-16 17:09:33 | regressions | 1 | 49908 | 4 | 0.846 | 58992.9 |
| 847 | 2025-09-13 02:52:05 | regressions | 1 | 49908 | 4 | 0.860 | 58032.6 |
| 846 | 2025-09-12 11:43:38 | regressions | 1 | 49908 | 4 | 0.906 | 55086.1 |
| 845 | 2025-09-10 19:49:12 | regressions | 1 | 49908 | 4 | 0.920 | 54247.8 |
| 844 | 2025-09-08 00:34:12 | regressions | 1 | 49908 | 4 | 0.876 | 56972.6 |
| 843 | 2025-09-07 12:30:17 | regressions | 2 | 86808 | 14 | 4.076 | 21297.4 |
| 842 | 2025-09-03 13:31:57 | regressions | 1 | 49908 | 4 | 0.763 | 65410.2 |
| 841 | 2025-09-02 21:50:28 | regressions | 2 | 86808 | 14 | 2.250 | 38581.3 |
| 840 | 2025-09-02 20:38:20 | regressions | 3 | 121633 | 46 | 4.936 | 24642.0 |
| 839 | 2025-08-28 17:20:32 | regressions | 1 | 49908 | 4 | 0.890 | 56076.4 |
| 838 | 2025-08-27 12:05:12 | regressions | 2 | 86808 | 14 | 2.486 | 34918.7 |
| 837 | 2025-08-25 23:06:46 | regressions | 3 | 121633 | 46 | 8.456 | 14384.2 |
| 836 | 2025-08-20 23:47:24 | regressions | 3 | 121633 | 46 | 12.596 | 9656.5 |
| 835 | 2025-08-17 15:03:55 | regressions | 3 | 121633 | 46 | 12.580 | 9668.8 |
| 834 | 2025-08-17 03:36:03 | regressions | 2 | 86808 | 14 | 5.296 | 16391.2 |
| 833 | 2025-08-16 06:20:28 | regressions | 1 | 49908 | 4 | 0.873 | 57168.4 |
| 832 | 2025-08-13 14:29:02 | regressions | 1 | 49908 | 4 | 2.623 | 19027.1 |
| 831 | 2025-08-13 08:39:11 | regressions | 1 | 49908 | 4 | 0.860 | 58032.6 |
| 830 | 2025-08-11 22:12:49 | regressions | 1 | 49908 | 4 | 3.780 | 13203.2 |
| 829 | 2025-08-10 21:00:58 | regressions | 4 | 148819 | 182 | 23.580 | 6311.2 |
| 828 | 2025-08-10 12:16:19 | regressions | 1 | 49908 | 4 | 4.313 | 11571.5 |
| 827 | 2025-08-09 12:54:36 | regressions | 4 | 148819 | 182 | 10.190 | 14604.4 |
| 826 | 2025-08-05 23:39:47 | regressions | 4 | 148819 | 182 | 24.390 | 6101.6 |
| 825 | 2025-08-03 23:16:45 | regressions | 1 | 49908 | 4 | 2.546 | 19602.5 |
| 824 | 2025-08-03 01:13:44 | regressions | 4 | 148819 | 182 | 61.536 | 2418.4 |
| 823 | 2025-07-27 23:14:57 | regressions | 4 | 148819 | 182 | 26.360 | 5645.6 |
| 822 | 2025-07-27 23:01:57 | regressions | 4 | 148819 | 182 | 27.563 | 5399.2 |
| 821 | 2025-07-25 03:58:37 | regressions | 1 | 49908 | 4 | 3.920 | 12731.6 |
| 820 | 2025-07-25 02:11:18 | regressions | 4 | 148819 | 182 | 34.313 | 4337.1 |
| 819 | 2025-07-25 01:18:35 | regressions | 1 | 49908 | 4 | 5.063 | 9857.4 |
| 818 | 2025-07-24 02:09:56 | regressions | 1 | 49908 | 4 | 2.826 | 17660.3 |
| 817 | 2025-07-23 04:38:24 | regressions | 1 | 49908 | 4 | 2.170 | 22999.1 |
| 816 | 2025-07-22 22:55:25 | regressions | 1 | 49908 | 4 | 2.266 | 22024.7 |
| 815 | 2025-07-22 21:33:35 | regressions | 1 | 49908 | 4 | 4.283 | 11652.6 |
| 814 | 2025-07-22 17:02:49 | regressions | 1 | 49908 | 4 | 2.673 | 18671.2 |
| 813 | 2025-07-22 14:13:23 | regressions | 1 | 49908 | 4 | 2.190 | 22789.0 |
| 812 | 2025-07-21 04:01:17 | regressions | 1 | 49908 | 4 | 0.906 | 55086.1 |
| 811 | 2025-07-17 14:54:22 | regressions | 3 | 121633 | 46 | 18.583 | 6545.4 |
| 810 | 2025-07-16 19:28:44 | regressions | 4 | 148819 | 182 | 11.093 | 13415.6 |
| 809 | 2025-07-16 00:59:24 | regressions | 1 | 49908 | 4 | 4.390 | 11368.6 |
| 808 | 2025-07-15 11:08:35 | regressions | 1 | 49908 | 4 | 4.063 | 12283.5 |
| 807 | 2025-07-12 23:42:16 | regressions | 1 | 49908 | 4 | 1.783 | 27991.0 |
| 806 | 2025-07-10 15:08:47 | regressions | 1 | 49908 | 4 | 2.830 | 17635.3 |
| 805 | 2025-07-09 07:00:56 | regressions | 1 | 49908 | 4 | 0.813 | 61387.5 |
| 804 | 2025-07-02 05:54:34 | regressions | 4 | 148819 | 182 | 26.936 | 5524.9 |
| 803 | 2025-07-02 00:20:41 | regressions | 1 | 49908 | 4 | 3.080 | 16203.9 |
| 802 | 2025-07-01 16:30:46 | regressions | 1 | 49908 | 4 | 0.826 | 60421.3 |
| 801 | 2025-06-27 13:38:00 | regressions | 4 | 148819 | 182 | 48.406 | 3074.4 |
| 800 | 2025-06-24 16:07:33 | regressions | 1 | 49908 | 4 | 3.343 | 14929.1 |
| 799 | 2025-06-24 14:54:28 | regressions | 4 | 148819 | 182 | 29.190 | 5098.3 |
| 798 | 2025-06-22 01:08:00 | regressions | 4 | 148819 | 182 | 29.376 | 5066.0 |
| 797 | 2025-06-21 07:46:09 | regressions | 1 | 49908 | 4 | 0.856 | 58303.7 |
| 796 | 2025-06-19 23:27:26 | regressions | 1 | 49908 | 4 | 2.393 | 20855.8 |
| 795 | 2025-06-18 15:35:39 | regressions | 1 | 49908 | 4 | 4.643 | 10749.1 |