History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"haves"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1121 | 2025-11-28 03:39:06 | haves | 1 | 28756 | 30 | 0.516 | 55728.7 |
| 1120 | 2025-11-25 02:23:37 | haves | 1 | 28756 | 30 | 0.580 | 49579.3 |
| 1119 | 2025-11-24 23:49:05 | haves | 2 | 53800 | 424 | 6.406 | 8398.4 |
| 1118 | 2025-11-21 21:13:20 | haves | 1 | 28756 | 30 | 0.953 | 30174.2 |
| 1117 | 2025-11-21 19:36:08 | haves | 1 | 28756 | 30 | 1.953 | 14724.0 |
| 1116 | 2025-11-20 03:48:01 | haves | 1 | 28756 | 30 | 0.563 | 51076.4 |
| 1115 | 2025-11-19 04:19:57 | haves | 1 | 28756 | 30 | 0.530 | 54256.6 |
| 1114 | 2025-11-18 20:35:33 | haves | 1 | 28756 | 30 | 0.530 | 54256.6 |
| 1113 | 2025-11-18 17:05:48 | haves | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1112 | 2025-11-17 17:45:22 | haves | 1 | 28756 | 30 | 0.516 | 55728.7 |
| 1111 | 2025-11-16 23:55:45 | haves | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1110 | 2025-11-16 12:14:27 | haves | 1 | 28756 | 30 | 0.766 | 37540.5 |
| 1109 | 2025-11-15 15:13:57 | haves | 1 | 28756 | 30 | 0.533 | 53951.2 |
| 1108 | 2025-11-15 01:32:20 | haves | 1 | 28756 | 30 | 0.560 | 51350.0 |
| 1107 | 2025-11-14 21:28:20 | haves | 1 | 28756 | 30 | 0.513 | 56054.6 |
| 1106 | 2025-11-13 07:52:06 | haves | 1 | 28756 | 30 | 0.530 | 54256.6 |
| 1105 | 2025-11-11 14:02:56 | haves | 1 | 28756 | 30 | 0.470 | 61183.0 |
| 1104 | 2025-11-11 12:08:48 | haves | 1 | 28756 | 30 | 0.513 | 56054.6 |
| 1103 | 2025-11-11 07:50:39 | haves | 1 | 28756 | 30 | 0.546 | 52666.7 |
| 1102 | 2025-11-10 08:24:08 | haves | 1 | 28756 | 30 | 0.453 | 63479.0 |
| 1101 | 2025-11-09 21:07:27 | haves | 1 | 28756 | 30 | 0.533 | 53951.2 |
| 1100 | 2025-11-02 00:24:43 | haves | 2 | 53800 | 424 | 2.453 | 21932.3 |
| 1099 | 2025-11-01 10:18:57 | haves | 1 | 28756 | 30 | 0.533 | 53951.2 |
| 1098 | 2025-11-01 09:57:03 | haves | 1 | 28756 | 30 | 0.470 | 61183.0 |
| 1097 | 2025-10-31 18:37:12 | haves | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1096 | 2025-10-30 06:09:33 | haves | 1 | 28756 | 30 | 0.533 | 53951.2 |
| 1095 | 2025-10-30 05:40:05 | haves | 1 | 28756 | 30 | 0.533 | 53951.2 |
| 1094 | 2025-10-24 18:19:12 | haves | 1 | 28756 | 30 | 0.893 | 32201.6 |
| 1093 | 2025-10-20 04:33:03 | haves | 1 | 28756 | 30 | 1.170 | 24577.8 |
| 1092 | 2025-10-19 13:48:33 | haves | 2 | 53800 | 424 | 1.686 | 31909.8 |
| 1091 | 2025-10-19 12:53:32 | haves | 1 | 28756 | 30 | 0.483 | 59536.2 |
| 1090 | 2025-10-18 21:30:32 | haves | 1 | 28756 | 30 | 0.516 | 55728.7 |
| 1089 | 2025-10-17 18:45:05 | haves | 1 | 28756 | 30 | 0.470 | 61183.0 |
| 1088 | 2025-10-15 17:24:38 | haves | 1 | 28756 | 30 | 0.453 | 63479.0 |
| 1087 | 2025-10-10 06:15:29 | haves | 1 | 28756 | 30 | 0.516 | 55728.7 |
| 1086 | 2025-10-09 22:05:53 | haves | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1085 | 2025-10-09 15:28:58 | haves | 1 | 28756 | 30 | 0.453 | 63479.0 |
| 1084 | 2025-10-01 02:53:56 | haves | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1083 | 2025-09-29 00:38:39 | haves | 1 | 28756 | 30 | 0.513 | 56054.6 |
| 1082 | 2025-09-19 04:36:41 | haves | 1 | 28756 | 30 | 0.516 | 55728.7 |
| 1081 | 2025-09-16 21:13:54 | haves | 1 | 28756 | 30 | 0.470 | 61183.0 |
| 1080 | 2025-09-14 18:01:57 | haves | 1 | 28756 | 30 | 0.453 | 63479.0 |
| 1079 | 2025-09-13 17:16:03 | haves | 1 | 28756 | 30 | 0.516 | 55728.7 |
| 1078 | 2025-09-12 19:00:01 | haves | 1 | 28756 | 30 | 0.483 | 59536.2 |
| 1077 | 2025-09-09 14:42:00 | haves | 1 | 28756 | 30 | 0.453 | 63479.0 |
| 1076 | 2025-09-09 11:26:01 | haves | 1 | 28756 | 30 | 0.466 | 61708.2 |
| 1075 | 2025-09-09 10:58:07 | haves | 1 | 28756 | 30 | 0.640 | 44931.3 |
| 1074 | 2025-09-09 02:32:36 | haves | 1 | 28756 | 30 | 0.453 | 63479.0 |
| 1073 | 2025-09-09 01:01:34 | haves | 1 | 28756 | 30 | 0.453 | 63479.0 |
| 1072 | 2025-09-06 22:56:50 | haves | 1 | 28756 | 30 | 0.530 | 54256.6 |
| 1071 | 2025-09-05 02:51:47 | haves | 1 | 28756 | 30 | 0.486 | 59168.7 |
| 1070 | 2025-09-04 04:43:41 | haves | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1069 | 2025-09-01 17:12:01 | haves | 1 | 28756 | 30 | 0.453 | 63479.0 |
| 1068 | 2025-08-27 00:16:16 | haves | 1 | 28756 | 30 | 0.546 | 52666.7 |
| 1067 | 2025-08-16 21:47:54 | haves | 1 | 28756 | 30 | 2.233 | 12877.7 |
| 1066 | 2025-08-14 04:20:46 | haves | 1 | 28756 | 30 | 0.453 | 63479.0 |
| 1065 | 2025-08-09 13:22:11 | haves | 1 | 28756 | 30 | 1.406 | 20452.3 |
| 1064 | 2025-08-05 22:32:27 | haves | 2 | 53800 | 424 | 7.953 | 6764.7 |
| 1063 | 2025-08-04 07:45:02 | haves | 1 | 28756 | 30 | 1.970 | 14597.0 |
| 1062 | 2025-08-01 09:03:20 | haves | 1 | 28756 | 30 | 2.923 | 9837.8 |
| 1061 | 2025-08-01 08:48:14 | haves | 2 | 53800 | 424 | 9.013 | 5969.2 |
| 1060 | 2025-07-31 20:22:13 | haves | 1 | 28756 | 30 | 1.250 | 23004.8 |
| 1059 | 2025-07-31 16:41:45 | haves | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1058 | 2025-07-31 01:09:27 | haves | 1 | 28756 | 30 | 0.516 | 55728.7 |
| 1057 | 2025-07-27 02:15:04 | haves | 1 | 28756 | 30 | 1.656 | 17364.7 |
| 1056 | 2025-07-17 11:32:31 | haves | 1 | 28756 | 30 | 1.000 | 28756.0 |
| 1055 | 2025-07-17 05:47:04 | haves | 1 | 28756 | 30 | 1.233 | 23322.0 |
| 1054 | 2025-07-01 19:21:37 | haves | 1 | 28756 | 30 | 0.516 | 55728.7 |
| 1053 | 2025-06-29 23:59:04 | haves | 1 | 28756 | 30 | 2.356 | 12205.4 |
| 1052 | 2025-06-28 15:26:55 | haves | 1 | 28756 | 30 | 2.720 | 10572.1 |
| 1051 | 2025-06-25 17:21:51 | haves | 1 | 28756 | 30 | 0.533 | 53951.2 |
| 1050 | 2025-06-16 23:07:36 | haves | 1 | 28756 | 30 | 2.563 | 11219.7 |
| 1049 | 2025-06-15 20:52:18 | haves | 1 | 28756 | 30 | 2.063 | 13938.9 |
| 1048 | 2025-06-15 04:20:15 | haves | 1 | 28756 | 30 | 0.516 | 55728.7 |
| 1047 | 2025-06-10 20:50:50 | haves | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1046 | 2025-06-08 13:26:00 | haves | 1 | 28756 | 30 | 4.013 | 7165.7 |
| 1045 | 2025-06-05 22:28:29 | haves | 2 | 53800 | 424 | 7.233 | 7438.1 |
| 1044 | 2025-06-03 02:23:05 | haves | 1 | 28756 | 30 | 0.530 | 54256.6 |
| 1043 | 2025-05-31 10:32:10 | haves | 2 | 53800 | 424 | 7.516 | 7158.1 |
| 1042 | 2025-05-30 23:10:31 | haves | 1 | 28756 | 30 | 2.953 | 9737.9 |
| 1041 | 2025-05-30 19:26:11 | haves | 1 | 28756 | 30 | 0.516 | 55728.7 |
| 1040 | 2025-05-29 14:57:44 | haves | 1 | 28756 | 30 | 1.720 | 16718.6 |
| 1039 | 2025-05-27 10:10:59 | haves | 1 | 28756 | 30 | 2.406 | 11951.8 |
| 1038 | 2025-05-26 13:52:45 | haves | 1 | 28756 | 30 | 3.296 | 8724.5 |
| 1037 | 2025-05-23 08:25:14 | haves | 1 | 28756 | 30 | 1.373 | 20943.9 |
| 1036 | 2025-05-21 00:15:33 | haves | 1 | 28756 | 30 | 0.533 | 53951.2 |
| 1035 | 2025-05-15 19:26:03 | haves | 1 | 28756 | 30 | 1.013 | 28387.0 |
| 1034 | 2025-05-15 04:19:34 | haves | 1 | 28756 | 30 | 0.546 | 52666.7 |
| 1033 | 2025-05-14 00:06:16 | haves | 1 | 28756 | 30 | 1.750 | 16432.0 |
| 1032 | 2025-05-09 11:51:24 | haves | 1 | 28756 | 30 | 3.033 | 9481.0 |
| 1031 | 2025-05-08 08:43:38 | haves | 2 | 53800 | 424 | 8.393 | 6410.1 |
| 1030 | 2025-05-07 12:47:05 | haves | 1 | 28756 | 30 | 0.533 | 53951.2 |
| 1029 | 2025-05-05 01:27:06 | haves | 1 | 28756 | 30 | 2.046 | 14054.7 |
| 1028 | 2025-05-04 21:59:20 | haves | 1 | 28756 | 30 | 0.483 | 59536.2 |
| 1027 | 2025-05-02 00:41:43 | haves | 2 | 53800 | 424 | 9.546 | 5635.9 |
| 1026 | 2025-04-30 18:56:05 | haves | 1 | 28756 | 30 | 0.530 | 54256.6 |
| 1025 | 2025-04-27 08:40:34 | haves | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1024 | 2025-04-24 19:10:16 | haves | 1 | 28756 | 30 | 0.453 | 63479.0 |
| 1023 | 2025-04-17 05:49:16 | haves | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1022 | 2025-04-14 04:44:00 | haves | 1 | 28756 | 30 | 2.576 | 11163.0 |