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 |
| 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 |
| 794 | 2025-06-17 00:50:30 | regressions | 4 | 148819 | 182 | 37.453 | 3973.5 |
| 793 | 2025-06-16 17:07:11 | regressions | 4 | 148819 | 182 | 49.596 | 3000.6 |
| 792 | 2025-06-15 09:41:40 | regressions | 3 | 121633 | 46 | 5.063 | 24023.9 |
| 791 | 2025-06-15 07:32:51 | regressions | 4 | 148819 | 182 | 42.406 | 3509.4 |
| 790 | 2025-06-15 01:26:26 | regressions | 2 | 86808 | 14 | 2.576 | 33698.8 |
| 789 | 2025-06-13 22:40:11 | regressions | 1 | 49908 | 4 | 4.453 | 11207.7 |
| 788 | 2025-06-10 21:12:57 | regressions | 1 | 49908 | 4 | 0.970 | 51451.5 |
| 787 | 2025-06-10 10:17:49 | regressions | 1 | 49908 | 4 | 4.126 | 12096.0 |
| 786 | 2025-05-19 23:51:23 | regressions | 1 | 49908 | 4 | 3.810 | 13099.2 |
| 785 | 2025-05-17 22:55:17 | regressions | 2 | 86808 | 14 | 13.046 | 6654.0 |
| 784 | 2025-05-08 01:08:38 | regressions | 3 | 121633 | 46 | 25.050 | 4855.6 |
| 783 | 2025-05-07 22:44:22 | regressions | 1 | 49908 | 4 | 3.813 | 13088.9 |
| 782 | 2025-05-02 00:14:25 | regressions | 1 | 49908 | 4 | 5.640 | 8848.9 |
| 781 | 2025-05-01 10:42:41 | regressions | 3 | 121633 | 46 | 18.376 | 6619.1 |
| 780 | 2025-04-26 09:51:26 | regressions | 1 | 49908 | 4 | 2.936 | 16998.6 |
| 779 | 2025-04-26 03:24:22 | regressions | 1 | 49908 | 4 | 4.580 | 10896.9 |
| 778 | 2025-04-26 02:32:44 | regressions | 3 | 121633 | 46 | 21.313 | 5707.0 |
| 777 | 2025-04-21 00:21:13 | regressions | 3 | 121633 | 46 | 25.830 | 4709.0 |
| 776 | 2025-04-19 22:31:10 | regressions | 1 | 49908 | 4 | 2.296 | 21736.9 |
| 775 | 2025-04-19 12:09:20 | regressions | 3 | 121633 | 46 | 9.890 | 12298.6 |
| 774 | 2025-04-05 22:41:51 | regressions | 1 | 49908 | 4 | 4.110 | 12143.1 |
| 773 | 2025-03-26 23:46:45 | regressions | 1 | 49908 | 4 | 3.063 | 16293.8 |
| 772 | 2025-03-26 01:07:19 | regressions | 1 | 49908 | 4 | 6.016 | 8295.9 |