History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tears"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1052 | 2025-11-15 19:45:33 | tears | 1 | 28756 | 24 | 0.500 | 57512.0 |
| 1051 | 2025-11-15 13:54:11 | tears | 2 | 53800 | 296 | 1.826 | 29463.3 |
| 1050 | 2025-11-15 04:45:29 | tears | 1 | 28756 | 24 | 0.500 | 57512.0 |
| 1049 | 2025-11-14 19:58:35 | tears | 1 | 28756 | 24 | 0.483 | 59536.2 |
| 1048 | 2025-11-14 07:46:29 | tears | 2 | 53800 | 296 | 1.593 | 33772.8 |
| 1047 | 2025-11-14 06:14:04 | tears | 2 | 53800 | 296 | 1.436 | 37465.2 |
| 1046 | 2025-11-14 02:00:42 | tears | 1 | 28756 | 24 | 0.453 | 63479.0 |
| 1045 | 2025-11-13 02:45:52 | tears | 2 | 53800 | 296 | 1.750 | 30742.9 |
| 1044 | 2025-11-12 22:02:14 | tears | 2 | 53800 | 296 | 1.720 | 31279.1 |
| 1043 | 2025-11-12 12:47:52 | tears | 2 | 53800 | 296 | 1.623 | 33148.5 |
| 1042 | 2025-11-11 22:37:11 | tears | 2 | 53800 | 296 | 1.720 | 31279.1 |
| 1041 | 2025-11-11 17:59:09 | tears | 1 | 28756 | 24 | 0.500 | 57512.0 |
| 1040 | 2025-11-11 06:16:05 | tears | 1 | 28756 | 24 | 0.453 | 63479.0 |
| 1039 | 2025-11-11 04:58:29 | tears | 1 | 28756 | 24 | 0.470 | 61183.0 |
| 1038 | 2025-11-09 20:54:02 | tears | 1 | 28756 | 24 | 0.513 | 56054.6 |
| 1037 | 2025-11-05 05:59:01 | tears | 1 | 28756 | 24 | 0.546 | 52666.7 |
| 1036 | 2025-11-03 00:01:28 | tears | 1 | 28756 | 24 | 0.450 | 63902.2 |
| 1035 | 2025-11-02 21:30:22 | tears | 1 | 28756 | 24 | 0.513 | 56054.6 |
| 1034 | 2025-10-30 09:17:44 | tears | 2 | 53800 | 296 | 1.610 | 33416.1 |
| 1033 | 2025-10-29 11:37:11 | tears | 1 | 28756 | 24 | 0.516 | 55728.7 |
| 1032 | 2025-10-29 05:16:13 | tears | 1 | 28756 | 24 | 0.563 | 51076.4 |
| 1031 | 2025-10-29 03:38:51 | tears | 2 | 53800 | 296 | 1.576 | 34137.1 |
| 1030 | 2025-10-27 15:56:00 | tears | 1 | 28756 | 24 | 0.516 | 55728.7 |
| 1029 | 2025-10-25 03:36:42 | tears | 2 | 53800 | 296 | 2.016 | 26686.5 |
| 1028 | 2025-10-25 01:23:19 | tears | 1 | 28756 | 24 | 0.513 | 56054.6 |
| 1027 | 2025-10-24 16:22:15 | tears | 2 | 53800 | 296 | 8.296 | 6485.1 |
| 1026 | 2025-10-19 12:50:13 | tears | 1 | 28756 | 24 | 1.170 | 24577.8 |
| 1025 | 2025-10-19 12:50:10 | tears | 1 | 28756 | 24 | 0.860 | 33437.2 |
| 1024 | 2025-10-19 12:50:07 | tears | 1 | 28756 | 24 | 1.906 | 15087.1 |
| 1023 | 2025-10-19 12:50:02 | tears | 1 | 28756 | 24 | 3.186 | 9025.7 |
| 1022 | 2025-10-17 11:50:45 | tears | 1 | 28756 | 24 | 0.516 | 55728.7 |
| 1021 | 2025-10-14 08:25:17 | tears | 2 | 53800 | 296 | 1.610 | 33416.1 |
| 1020 | 2025-10-12 13:27:45 | tears | 2 | 53800 | 296 | 1.626 | 33087.3 |
| 1019 | 2025-10-12 06:58:22 | tears | 2 | 53800 | 296 | 1.690 | 31834.3 |
| 1018 | 2025-10-12 03:42:17 | tears | 2 | 53800 | 296 | 1.843 | 29191.5 |
| 1017 | 2025-10-11 22:56:38 | tears | 2 | 53800 | 296 | 1.546 | 34799.5 |
| 1016 | 2025-10-11 07:30:06 | tears | 2 | 53800 | 296 | 1.623 | 33148.5 |
| 1015 | 2025-10-09 21:15:15 | tears | 1 | 28756 | 24 | 0.466 | 61708.2 |
| 1014 | 2025-10-05 05:52:49 | tears | 1 | 28756 | 24 | 0.530 | 54256.6 |
| 1013 | 2025-10-04 07:11:22 | tears | 1 | 28756 | 24 | 0.530 | 54256.6 |
| 1012 | 2025-10-03 08:43:03 | tears | 1 | 28756 | 24 | 0.546 | 52666.7 |
| 1011 | 2025-09-29 06:58:08 | tears | 2 | 53800 | 296 | 1.423 | 37807.4 |
| 1010 | 2025-09-28 10:36:08 | tears | 1 | 28756 | 24 | 0.873 | 32939.3 |
| 1009 | 2025-09-28 09:11:32 | tears | 2 | 53800 | 296 | 1.466 | 36698.5 |
| 1008 | 2025-09-28 03:26:58 | tears | 2 | 53800 | 296 | 2.470 | 21781.4 |
| 1007 | 2025-09-26 16:16:57 | tears | 1 | 28756 | 24 | 0.486 | 59168.7 |
| 1006 | 2025-09-25 12:10:31 | tears | 2 | 53800 | 296 | 6.640 | 8102.4 |
| 1005 | 2025-09-25 12:10:18 | tears | 2 | 53800 | 296 | 7.656 | 7027.2 |
| 1004 | 2025-09-25 12:10:02 | tears | 2 | 53800 | 296 | 8.016 | 6711.6 |
| 1003 | 2025-09-25 12:09:52 | tears | 2 | 53800 | 296 | 8.140 | 6609.3 |
| 1002 | 2025-09-25 11:15:15 | tears | 2 | 53800 | 296 | 8.173 | 6582.7 |
| 1001 | 2025-09-24 03:30:24 | tears | 1 | 28756 | 24 | 0.516 | 55728.7 |
| 1000 | 2025-09-21 13:01:13 | tears | 1 | 28756 | 24 | 0.470 | 61183.0 |
| 999 | 2025-09-16 12:22:20 | tears | 1 | 28756 | 24 | 0.500 | 57512.0 |
| 998 | 2025-09-13 09:26:47 | tears | 1 | 28756 | 24 | 0.546 | 52666.7 |
| 997 | 2025-09-10 19:52:40 | tears | 2 | 53800 | 296 | 1.686 | 31909.8 |
| 996 | 2025-09-10 16:56:46 | tears | 2 | 53800 | 296 | 1.466 | 36698.5 |
| 995 | 2025-09-10 07:22:43 | tears | 2 | 53800 | 296 | 1.813 | 29674.6 |
| 994 | 2025-09-09 03:55:52 | tears | 2 | 53800 | 296 | 1.643 | 32745.0 |
| 993 | 2025-09-08 21:20:40 | tears | 1 | 28756 | 24 | 0.530 | 54256.6 |
| 992 | 2025-09-08 04:57:57 | tears | 2 | 53800 | 296 | 1.733 | 31044.4 |
| 991 | 2025-09-07 18:48:49 | tears | 2 | 53800 | 296 | 1.453 | 37026.8 |
| 990 | 2025-09-07 10:34:32 | tears | 1 | 28756 | 24 | 0.453 | 63479.0 |
| 989 | 2025-09-07 10:05:07 | tears | 2 | 53800 | 296 | 1.656 | 32487.9 |
| 988 | 2025-09-04 05:50:29 | tears | 1 | 28756 | 24 | 0.516 | 55728.7 |
| 987 | 2025-09-02 18:58:41 | tears | 1 | 28756 | 24 | 0.516 | 55728.7 |
| 986 | 2025-09-02 02:21:02 | tears | 1 | 28756 | 24 | 0.453 | 63479.0 |
| 985 | 2025-08-28 09:35:23 | tears | 2 | 53800 | 296 | 1.593 | 33772.8 |
| 984 | 2025-08-28 03:08:43 | tears | 2 | 53800 | 296 | 1.876 | 28678.0 |
| 983 | 2025-08-27 15:21:54 | tears | 1 | 28756 | 24 | 0.546 | 52666.7 |
| 982 | 2025-08-27 10:22:28 | tears | 1 | 28756 | 24 | 0.576 | 49923.6 |
| 981 | 2025-08-21 13:31:09 | tears | 1 | 28756 | 24 | 1.016 | 28303.1 |
| 980 | 2025-08-17 11:47:33 | tears | 1 | 28756 | 24 | 2.453 | 11722.8 |
| 979 | 2025-08-10 10:26:13 | tears | 2 | 53800 | 296 | 8.203 | 6558.6 |
| 978 | 2025-08-08 23:52:41 | tears | 1 | 28756 | 24 | 2.500 | 11502.4 |
| 977 | 2025-08-05 15:35:35 | tears | 2 | 53800 | 296 | 10.843 | 4961.7 |
| 976 | 2025-08-04 05:41:24 | tears | 1 | 28756 | 24 | 1.000 | 28756.0 |
| 975 | 2025-08-01 09:01:20 | tears | 1 | 28756 | 24 | 2.700 | 10650.4 |
| 974 | 2025-07-31 01:04:50 | tears | 1 | 28756 | 24 | 1.330 | 21621.1 |
| 973 | 2025-07-28 09:49:14 | tears | 2 | 53800 | 296 | 3.423 | 15717.2 |
| 972 | 2025-07-27 12:14:51 | tears | 1 | 28756 | 24 | 1.360 | 21144.1 |
| 971 | 2025-07-27 07:48:20 | tears | 2 | 53800 | 296 | 13.453 | 3999.1 |
| 970 | 2025-07-26 00:23:00 | tears | 2 | 53800 | 296 | 1.596 | 33709.3 |
| 969 | 2025-07-22 05:41:25 | tears | 1 | 28756 | 24 | 0.483 | 59536.2 |
| 968 | 2025-07-22 03:14:02 | tears | 1 | 28756 | 24 | 0.516 | 55728.7 |
| 967 | 2025-07-19 00:08:06 | tears | 1 | 28756 | 24 | 0.470 | 61183.0 |
| 966 | 2025-07-17 16:06:25 | tears | 1 | 28756 | 24 | 1.016 | 28303.1 |
| 965 | 2025-07-07 23:16:32 | tears | 1 | 28756 | 24 | 3.500 | 8216.0 |
| 964 | 2025-07-02 06:05:03 | tears | 1 | 28756 | 24 | 1.376 | 20898.3 |
| 963 | 2025-06-30 04:39:28 | tears | 2 | 53800 | 296 | 11.893 | 4523.7 |
| 962 | 2025-06-29 07:40:05 | tears | 1 | 28756 | 24 | 1.096 | 26237.2 |
| 961 | 2025-06-16 13:40:31 | tears | 1 | 28756 | 24 | 1.406 | 20452.3 |
| 960 | 2025-06-13 19:49:34 | tears | 1 | 28756 | 24 | 0.516 | 55728.7 |
| 959 | 2025-06-11 12:06:05 | tears | 1 | 28756 | 24 | 1.750 | 16432.0 |
| 958 | 2025-06-06 23:17:02 | tears | 1 | 28756 | 24 | 0.516 | 55728.7 |
| 957 | 2025-06-06 04:14:07 | tears | 1 | 28756 | 24 | 3.000 | 9585.3 |
| 956 | 2025-06-06 02:54:15 | tears | 1 | 28756 | 24 | 3.936 | 7305.9 |
| 955 | 2025-06-01 07:54:26 | tears | 1 | 28756 | 24 | 1.343 | 21411.8 |
| 954 | 2025-05-30 23:29:41 | tears | 1 | 28756 | 24 | 2.750 | 10456.7 |
| 953 | 2025-05-30 14:25:21 | tears | 1 | 28756 | 24 | 3.030 | 9490.4 |