History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"warms"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1171 | 2026-03-08 20:28:09 | warms | 1 | 28756 | 15 | 0.533 | 53951.2 |
| 1170 | 2026-03-08 01:19:00 | warms | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 1169 | 2026-03-05 21:56:01 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1168 | 2026-03-03 01:07:54 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1167 | 2026-03-02 09:03:04 | warms | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1166 | 2026-02-28 22:37:50 | warms | 1 | 28756 | 15 | 0.470 | 61183.0 |
| 1165 | 2026-02-26 18:13:52 | warms | 1 | 28756 | 15 | 0.936 | 30722.2 |
| 1164 | 2026-02-25 13:51:08 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1163 | 2026-02-20 21:05:51 | warms | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 1162 | 2026-02-19 17:37:03 | warms | 2 | 53800 | 243 | 1.516 | 35488.1 |
| 1161 | 2026-02-15 14:03:35 | warms | 1 | 28756 | 15 | 3.590 | 8010.0 |
| 1160 | 2026-02-15 07:57:25 | warms | 2 | 53800 | 243 | 8.936 | 6020.6 |
| 1159 | 2026-02-14 23:50:03 | warms | 1 | 28756 | 15 | 0.656 | 43835.4 |
| 1158 | 2026-02-14 02:37:10 | warms | 1 | 28756 | 15 | 2.546 | 11294.6 |
| 1157 | 2026-02-12 09:50:18 | warms | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1156 | 2026-02-11 12:03:33 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1155 | 2026-02-10 16:21:14 | warms | 1 | 28756 | 15 | 0.690 | 41675.4 |
| 1154 | 2026-02-09 23:14:22 | warms | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 1153 | 2026-01-29 21:07:36 | warms | 1 | 28756 | 15 | 1.156 | 24875.4 |
| 1152 | 2026-01-29 00:55:01 | warms | 1 | 28756 | 15 | 0.466 | 61708.2 |
| 1151 | 2026-01-28 17:39:00 | warms | 2 | 53800 | 243 | 1.716 | 31352.0 |
| 1150 | 2026-01-26 17:49:17 | warms | 1 | 28756 | 15 | 1.016 | 28303.1 |
| 1149 | 2026-01-24 18:13:44 | warms | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1148 | 2026-01-24 04:20:02 | warms | 2 | 53800 | 243 | 2.390 | 22510.5 |
| 1147 | 2026-01-23 00:01:38 | warms | 1 | 28756 | 15 | 0.563 | 51076.4 |
| 1146 | 2026-01-22 09:18:17 | warms | 1 | 28756 | 15 | 0.593 | 48492.4 |
| 1145 | 2026-01-21 15:07:02 | warms | 1 | 28756 | 15 | 0.466 | 61708.2 |
| 1144 | 2026-01-20 16:34:24 | warms | 1 | 28756 | 15 | 1.860 | 15460.2 |
| 1143 | 2026-01-20 14:34:08 | warms | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 1142 | 2026-01-20 05:00:44 | warms | 1 | 28756 | 15 | 1.080 | 26625.9 |
| 1141 | 2026-01-19 16:51:01 | warms | 1 | 28756 | 15 | 3.750 | 7668.3 |
| 1140 | 2026-01-18 01:59:37 | warms | 1 | 28756 | 15 | 0.470 | 61183.0 |
| 1139 | 2026-01-14 00:46:33 | warms | 1 | 28756 | 15 | 1.093 | 26309.2 |
| 1138 | 2025-12-30 04:18:13 | warms | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 1137 | 2025-12-30 00:45:56 | warms | 1 | 28756 | 15 | 1.173 | 24514.9 |
| 1136 | 2025-12-27 19:05:38 | warms | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 1135 | 2025-12-27 16:57:38 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1134 | 2025-12-27 16:18:39 | warms | 1 | 28756 | 15 | 1.203 | 23903.6 |
| 1133 | 2025-12-27 15:54:00 | warms | 1 | 28756 | 15 | 0.533 | 53951.2 |
| 1132 | 2025-12-27 15:14:37 | warms | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 1131 | 2025-12-27 14:55:32 | warms | 1 | 28756 | 15 | 0.920 | 31256.5 |
| 1130 | 2025-12-26 18:46:20 | warms | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1129 | 2025-12-26 08:24:19 | warms | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1128 | 2025-12-26 06:52:51 | warms | 1 | 28756 | 15 | 2.453 | 11722.8 |
| 1127 | 2025-12-24 15:12:31 | warms | 1 | 28756 | 15 | 1.530 | 18794.8 |
| 1126 | 2025-12-23 04:57:32 | warms | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1125 | 2025-12-22 18:39:21 | warms | 1 | 28756 | 15 | 2.080 | 13825.0 |
| 1124 | 2025-12-20 08:35:26 | warms | 2 | 53800 | 243 | 1.670 | 32215.6 |
| 1123 | 2025-12-19 00:33:14 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1122 | 2025-12-17 20:46:44 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1121 | 2025-12-15 21:26:23 | warms | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 1120 | 2025-12-14 14:38:45 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1119 | 2025-12-13 14:40:25 | warms | 1 | 28756 | 15 | 0.486 | 59168.7 |
| 1118 | 2025-12-04 17:30:43 | warms | 1 | 28756 | 15 | 0.873 | 32939.3 |
| 1117 | 2025-11-30 03:50:12 | warms | 2 | 53800 | 243 | 1.423 | 37807.4 |
| 1116 | 2025-11-25 07:25:58 | warms | 2 | 53800 | 243 | 1.610 | 33416.1 |
| 1115 | 2025-11-18 20:15:42 | warms | 1 | 28756 | 15 | 1.330 | 21621.1 |
| 1114 | 2025-11-18 07:22:31 | warms | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 1113 | 2025-11-16 18:18:10 | warms | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 1112 | 2025-11-16 08:35:41 | warms | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 1111 | 2025-11-16 00:45:27 | warms | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 1110 | 2025-11-13 17:10:34 | warms | 1 | 28756 | 15 | 1.093 | 26309.2 |
| 1109 | 2025-11-12 20:48:29 | warms | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1108 | 2025-11-09 10:17:11 | warms | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1107 | 2025-11-09 03:23:37 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1106 | 2025-11-06 18:57:33 | warms | 1 | 28756 | 15 | 0.486 | 59168.7 |
| 1105 | 2025-11-04 19:41:01 | warms | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 1104 | 2025-10-30 07:54:28 | warms | 1 | 28756 | 15 | 2.673 | 10757.9 |
| 1103 | 2025-10-30 07:54:21 | warms | 1 | 28756 | 15 | 6.716 | 4281.7 |
| 1102 | 2025-10-30 07:54:13 | warms | 1 | 28756 | 15 | 7.390 | 3891.2 |
| 1101 | 2025-10-30 07:54:04 | warms | 1 | 28756 | 15 | 6.313 | 4555.0 |
| 1100 | 2025-10-25 04:47:42 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1099 | 2025-10-19 09:35:46 | warms | 1 | 28756 | 15 | 0.483 | 59536.2 |
| 1098 | 2025-10-14 05:05:01 | warms | 2 | 53800 | 243 | 1.953 | 27547.4 |
| 1097 | 2025-10-08 12:04:38 | warms | 1 | 28756 | 15 | 1.870 | 15377.5 |
| 1096 | 2025-10-05 04:35:06 | warms | 1 | 28756 | 15 | 0.470 | 61183.0 |
| 1095 | 2025-10-01 22:09:20 | warms | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1094 | 2025-10-01 03:26:36 | warms | 1 | 28756 | 15 | 0.436 | 65954.1 |
| 1093 | 2025-09-30 02:52:09 | warms | 1 | 28756 | 15 | 0.466 | 61708.2 |
| 1092 | 2025-09-15 00:51:41 | warms | 1 | 28756 | 15 | 0.533 | 53951.2 |
| 1091 | 2025-09-11 19:41:26 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1090 | 2025-09-11 12:00:45 | warms | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 1089 | 2025-09-08 16:36:52 | warms | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 1088 | 2025-09-08 08:32:46 | warms | 1 | 28756 | 15 | 0.456 | 63061.4 |
| 1087 | 2025-09-07 06:56:03 | warms | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 1086 | 2025-09-06 13:52:29 | warms | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 1085 | 2025-09-05 21:24:47 | warms | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 1084 | 2025-09-03 10:53:26 | warms | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 1083 | 2025-08-30 22:08:02 | warms | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 1082 | 2025-08-28 07:57:19 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1081 | 2025-08-27 13:41:38 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1080 | 2025-08-25 04:57:42 | warms | 1 | 28756 | 15 | 2.470 | 11642.1 |
| 1079 | 2025-08-10 04:00:22 | warms | 1 | 28756 | 15 | 1.890 | 15214.8 |
| 1078 | 2025-08-03 21:01:39 | warms | 1 | 28756 | 15 | 1.343 | 21411.8 |
| 1077 | 2025-08-02 21:51:39 | warms | 1 | 28756 | 15 | 1.406 | 20452.3 |
| 1076 | 2025-08-01 02:52:41 | warms | 2 | 53800 | 243 | 4.123 | 13048.8 |
| 1075 | 2025-07-31 11:58:01 | warms | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1074 | 2025-07-30 07:19:31 | warms | 1 | 28756 | 15 | 0.970 | 29645.4 |
| 1073 | 2025-07-29 06:57:14 | warms | 1 | 28756 | 15 | 1.390 | 20687.8 |
| 1072 | 2025-07-28 00:20:40 | warms | 2 | 53800 | 243 | 3.406 | 15795.7 |