History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cloth"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1095 | 2026-04-17 16:11:41 | cloth | 1 | 28756 | 7 | 0.923 | 31154.9 |
| 1094 | 2026-04-17 06:17:13 | cloth | 1 | 28756 | 7 | 1.000 | 28756.0 |
| 1093 | 2026-04-07 06:19:03 | cloth | 3 | 83667 | 1009 | 18.970 | 4410.5 |
| 1092 | 2026-04-07 01:54:39 | cloth | 3 | 83667 | 1009 | 16.436 | 5090.5 |
| 1091 | 2026-04-06 11:01:19 | cloth | 3 | 83667 | 1009 | 18.046 | 4636.3 |
| 1090 | 2026-04-01 12:41:40 | cloth | 1 | 28756 | 7 | 2.390 | 12031.8 |
| 1089 | 2026-03-31 13:39:39 | cloth | 2 | 53800 | 92 | 6.686 | 8046.7 |
| 1088 | 2026-03-29 22:13:34 | cloth | 1 | 28756 | 7 | 1.013 | 28387.0 |
| 1087 | 2026-03-29 22:11:46 | cloth | 1 | 28756 | 7 | 2.530 | 11366.0 |
| 1086 | 2026-03-29 18:14:18 | cloth | 1 | 28756 | 7 | 2.440 | 11785.2 |
| 1085 | 2026-03-29 18:10:24 | cloth | 1 | 28756 | 7 | 2.156 | 13337.7 |
| 1084 | 2026-03-29 18:07:20 | cloth | 1 | 28756 | 7 | 2.330 | 12341.6 |
| 1083 | 2026-03-29 14:41:53 | cloth | 1 | 28756 | 7 | 1.093 | 26309.2 |
| 1082 | 2026-03-29 14:35:29 | cloth | 1 | 28756 | 7 | 3.156 | 9111.5 |
| 1081 | 2026-03-24 19:13:42 | cloth | 2 | 53800 | 92 | 4.470 | 12035.8 |
| 1080 | 2026-03-22 05:31:16 | cloth | 2 | 53800 | 92 | 1.673 | 32157.8 |
| 1079 | 2026-03-19 02:57:47 | cloth | 2 | 53800 | 92 | 3.906 | 13773.7 |
| 1078 | 2026-03-12 18:56:44 | cloth | 2 | 53800 | 92 | 1.580 | 34050.6 |
| 1077 | 2026-03-10 14:52:58 | cloth | 1 | 28756 | 7 | 0.453 | 63479.0 |
| 1076 | 2026-03-09 22:41:46 | cloth | 1 | 28756 | 7 | 0.530 | 54256.6 |
| 1075 | 2026-03-07 21:47:57 | cloth | 1 | 28756 | 7 | 0.453 | 63479.0 |
| 1074 | 2026-03-07 05:46:49 | cloth | 1 | 28756 | 7 | 0.486 | 59168.7 |
| 1073 | 2026-03-01 05:53:47 | cloth | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 1072 | 2026-02-28 15:37:36 | cloth | 1 | 28756 | 7 | 0.516 | 55728.7 |
| 1071 | 2026-02-20 23:21:42 | cloth | 1 | 28756 | 7 | 2.076 | 13851.6 |
| 1070 | 2026-02-17 14:16:43 | cloth | 2 | 53800 | 92 | 11.470 | 4690.5 |
| 1069 | 2026-02-13 08:44:18 | cloth | 2 | 53800 | 92 | 12.046 | 4466.2 |
| 1068 | 2026-02-09 09:40:32 | cloth | 1 | 28756 | 7 | 1.000 | 28756.0 |
| 1067 | 2026-02-08 07:38:59 | cloth | 2 | 53800 | 92 | 3.906 | 13773.7 |
| 1066 | 2026-01-29 04:09:10 | cloth | 2 | 53800 | 92 | 3.843 | 13999.5 |
| 1065 | 2026-01-27 04:33:29 | cloth | 1 | 28756 | 7 | 0.576 | 49923.6 |
| 1064 | 2026-01-20 17:53:40 | cloth | 2 | 53800 | 92 | 1.623 | 33148.5 |
| 1063 | 2026-01-13 02:47:55 | cloth | 1 | 28756 | 7 | 0.530 | 54256.6 |
| 1062 | 2026-01-13 01:41:47 | cloth | 1 | 28756 | 7 | 0.450 | 63902.2 |
| 1061 | 2026-01-12 18:56:42 | cloth | 1 | 28756 | 7 | 0.516 | 55728.7 |
| 1060 | 2026-01-12 08:51:51 | cloth | 3 | 83667 | 1009 | 3.406 | 24564.6 |
| 1059 | 2026-01-12 03:45:45 | cloth | 1 | 28756 | 7 | 2.486 | 11567.2 |
| 1058 | 2026-01-12 03:45:33 | cloth | 1 | 28756 | 7 | 1.233 | 23322.0 |
| 1057 | 2026-01-09 01:43:20 | cloth | 2 | 53800 | 92 | 2.860 | 18811.2 |
| 1056 | 2026-01-07 17:16:21 | cloth | 3 | 83667 | 1009 | 7.843 | 10667.7 |
| 1055 | 2026-01-01 03:13:22 | cloth | 3 | 83667 | 1009 | 14.703 | 5690.5 |
| 1054 | 2026-01-01 03:13:15 | cloth | 3 | 83667 | 1009 | 11.390 | 7345.7 |
| 1053 | 2025-12-28 23:36:09 | cloth | 3 | 83667 | 1009 | 4.656 | 17969.7 |
| 1052 | 2025-12-27 19:20:40 | cloth | 2 | 53800 | 92 | 1.483 | 36277.8 |
| 1051 | 2025-12-26 02:30:29 | cloth | 3 | 83667 | 1009 | 3.860 | 21675.4 |
| 1050 | 2025-12-25 19:56:32 | cloth | 3 | 83667 | 1009 | 4.013 | 20849.0 |
| 1049 | 2025-12-24 06:07:48 | cloth | 1 | 28756 | 7 | 0.563 | 51076.4 |
| 1048 | 2025-12-23 04:13:30 | cloth | 3 | 83667 | 1009 | 3.876 | 21585.9 |
| 1047 | 2025-12-22 13:20:25 | cloth | 3 | 83667 | 1009 | 5.813 | 14393.1 |
| 1046 | 2025-12-21 14:20:58 | cloth | 3 | 83667 | 1009 | 4.830 | 17322.4 |
| 1045 | 2025-12-21 14:20:43 | cloth | 3 | 83667 | 1009 | 4.143 | 20194.8 |
| 1044 | 2025-12-21 06:12:37 | cloth | 2 | 53800 | 92 | 1.656 | 32487.9 |
| 1043 | 2025-12-18 19:35:34 | cloth | 1 | 28756 | 7 | 1.030 | 27918.4 |
| 1042 | 2025-12-18 19:33:31 | cloth | 1 | 28756 | 7 | 0.533 | 53951.2 |
| 1041 | 2025-12-13 00:04:59 | cloth | 1 | 28756 | 7 | 0.533 | 53951.2 |
| 1040 | 2025-12-11 03:46:26 | cloth | 3 | 83667 | 1009 | 4.016 | 20833.4 |
| 1039 | 2025-12-09 02:58:35 | cloth | 3 | 83667 | 1009 | 3.563 | 23482.2 |
| 1038 | 2025-12-03 06:52:09 | cloth | 2 | 53800 | 92 | 1.750 | 30742.9 |
| 1037 | 2025-12-02 07:15:29 | cloth | 1 | 28756 | 7 | 0.593 | 48492.4 |
| 1036 | 2025-11-28 19:59:36 | cloth | 1 | 28756 | 7 | 0.453 | 63479.0 |
| 1035 | 2025-11-28 02:30:21 | cloth | 1 | 28756 | 7 | 0.546 | 52666.7 |
| 1034 | 2025-11-24 10:05:19 | cloth | 3 | 83667 | 1009 | 3.470 | 24111.5 |
| 1033 | 2025-11-24 10:04:49 | cloth | 2 | 53800 | 92 | 1.580 | 34050.6 |
| 1032 | 2025-11-24 08:51:02 | cloth | 1 | 28756 | 7 | 1.466 | 19615.3 |
| 1031 | 2025-11-23 06:39:01 | cloth | 2 | 53800 | 92 | 3.393 | 15856.2 |
| 1030 | 2025-11-18 12:21:23 | cloth | 1 | 28756 | 7 | 0.546 | 52666.7 |
| 1029 | 2025-11-16 07:06:01 | cloth | 2 | 53800 | 92 | 1.643 | 32745.0 |
| 1028 | 2025-11-15 23:03:31 | cloth | 1 | 28756 | 7 | 0.486 | 59168.7 |
| 1027 | 2025-11-14 23:35:11 | cloth | 1 | 28756 | 7 | 0.453 | 63479.0 |
| 1026 | 2025-11-14 15:41:56 | cloth | 1 | 28756 | 7 | 0.516 | 55728.7 |
| 1025 | 2025-11-13 21:39:14 | cloth | 1 | 28756 | 7 | 0.656 | 43835.4 |
| 1024 | 2025-11-11 08:55:06 | cloth | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 1023 | 2025-11-11 01:17:33 | cloth | 1 | 28756 | 7 | 0.483 | 59536.2 |
| 1022 | 2025-11-09 06:38:44 | cloth | 2 | 53800 | 92 | 1.580 | 34050.6 |
| 1021 | 2025-11-01 22:56:36 | cloth | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 1020 | 2025-11-01 09:58:47 | cloth | 2 | 53800 | 92 | 1.423 | 37807.4 |
| 1019 | 2025-10-25 02:18:15 | cloth | 1 | 28756 | 7 | 0.513 | 56054.6 |
| 1018 | 2025-10-24 01:59:00 | cloth | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 1017 | 2025-10-20 03:33:34 | cloth | 1 | 28756 | 7 | 2.250 | 12780.4 |
| 1016 | 2025-10-19 20:08:13 | cloth | 2 | 53800 | 92 | 7.956 | 6762.2 |
| 1015 | 2025-10-13 17:17:42 | cloth | 2 | 53800 | 92 | 1.673 | 32157.8 |
| 1014 | 2025-10-07 18:43:21 | cloth | 2 | 53800 | 92 | 1.410 | 38156.0 |
| 1013 | 2025-10-01 06:49:30 | cloth | 1 | 28756 | 7 | 0.466 | 61708.2 |
| 1012 | 2025-09-30 14:35:50 | cloth | 3 | 83667 | 1009 | 3.860 | 21675.4 |
| 1011 | 2025-09-29 19:50:37 | cloth | 2 | 53800 | 92 | 1.623 | 33148.5 |
| 1010 | 2025-09-24 14:57:16 | cloth | 2 | 53800 | 92 | 1.563 | 34421.0 |
| 1009 | 2025-09-21 13:59:05 | cloth | 1 | 28756 | 7 | 0.533 | 53951.2 |
| 1008 | 2025-09-21 06:54:34 | cloth | 2 | 53800 | 92 | 1.563 | 34421.0 |
| 1007 | 2025-09-20 18:07:27 | cloth | 1 | 28756 | 7 | 0.483 | 59536.2 |
| 1006 | 2025-09-14 03:38:58 | cloth | 1 | 28756 | 7 | 0.513 | 56054.6 |
| 1005 | 2025-09-11 07:56:10 | cloth | 2 | 53800 | 92 | 1.593 | 33772.8 |
| 1004 | 2025-09-03 07:08:08 | cloth | 3 | 83667 | 1009 | 3.830 | 21845.2 |
| 1003 | 2025-08-29 08:00:39 | cloth | 3 | 83667 | 1009 | 3.576 | 23396.8 |
| 1002 | 2025-08-26 09:37:57 | cloth | 2 | 53800 | 92 | 1.593 | 33772.8 |
| 1001 | 2025-08-25 12:00:49 | cloth | 1 | 28756 | 7 | 2.343 | 12273.2 |
| 1000 | 2025-08-24 18:48:48 | cloth | 3 | 83667 | 1009 | 19.110 | 4378.2 |
| 999 | 2025-08-23 17:20:13 | cloth | 2 | 53800 | 92 | 9.046 | 5947.4 |
| 998 | 2025-08-19 12:58:56 | cloth | 3 | 83667 | 1009 | 9.110 | 9184.1 |
| 997 | 2025-08-17 06:14:41 | cloth | 3 | 83667 | 1009 | 8.826 | 9479.6 |
| 996 | 2025-08-17 02:57:52 | cloth | 3 | 83667 | 1009 | 9.080 | 9214.4 |