History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"slabs"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1174 | 2026-04-09 20:52:18 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
| 1173 | 2026-04-09 05:32:35 | slabs | 1 | 28756 | 17 | 2.346 | 12257.5 |
| 1172 | 2026-04-06 11:08:45 | slabs | 1 | 28756 | 17 | 0.453 | 63479.0 |
| 1171 | 2026-04-05 21:03:23 | slabs | 1 | 28756 | 17 | 3.393 | 8475.1 |
| 1170 | 2026-04-02 08:14:52 | slabs | 1 | 28756 | 17 | 3.170 | 9071.3 |
| 1169 | 2026-04-02 03:36:05 | slabs | 1 | 28756 | 17 | 2.483 | 11581.2 |
| 1168 | 2026-04-01 07:13:07 | slabs | 1 | 28756 | 17 | 3.313 | 8679.7 |
| 1167 | 2026-03-26 15:24:07 | slabs | 1 | 28756 | 17 | 1.123 | 25606.4 |
| 1166 | 2026-03-26 15:23:53 | slabs | 1 | 28756 | 17 | 1.500 | 19170.7 |
| 1165 | 2026-03-26 04:28:54 | slabs | 1 | 28756 | 17 | 1.030 | 27918.4 |
| 1164 | 2026-03-26 03:34:40 | slabs | 1 | 28756 | 17 | 1.873 | 15352.9 |
| 1163 | 2026-03-25 20:06:22 | slabs | 1 | 28756 | 17 | 2.546 | 11294.6 |
| 1162 | 2026-03-25 20:05:39 | slabs | 1 | 28756 | 17 | 2.393 | 12016.7 |
| 1161 | 2026-03-25 20:05:27 | slabs | 1 | 28756 | 17 | 3.516 | 8178.6 |
| 1160 | 2026-03-25 04:59:35 | slabs | 1 | 28756 | 17 | 1.156 | 24875.4 |
| 1159 | 2026-03-24 21:13:40 | slabs | 1 | 28756 | 17 | 1.390 | 20687.8 |
| 1158 | 2026-03-23 06:37:41 | slabs | 1 | 28756 | 17 | 2.466 | 11661.0 |
| 1157 | 2026-03-22 07:57:37 | slabs | 1 | 28756 | 17 | 0.546 | 52666.7 |
| 1156 | 2026-03-21 10:43:24 | slabs | 1 | 28756 | 17 | 2.390 | 12031.8 |
| 1155 | 2026-03-20 05:19:04 | slabs | 1 | 28756 | 17 | 2.643 | 10880.1 |
| 1154 | 2026-03-19 13:45:12 | slabs | 1 | 28756 | 17 | 1.203 | 23903.6 |
| 1153 | 2026-03-18 05:03:18 | slabs | 1 | 28756 | 17 | 2.860 | 10054.5 |
| 1152 | 2026-03-16 22:38:52 | slabs | 1 | 28756 | 17 | 1.390 | 20687.8 |
| 1151 | 2026-03-13 21:29:30 | slabs | 1 | 28756 | 17 | 0.563 | 51076.4 |
| 1150 | 2026-03-12 22:48:28 | slabs | 1 | 28756 | 17 | 0.953 | 30174.2 |
| 1149 | 2026-03-10 09:22:56 | slabs | 1 | 28756 | 17 | 0.580 | 49579.3 |
| 1148 | 2026-03-09 07:02:08 | slabs | 1 | 28756 | 17 | 0.453 | 63479.0 |
| 1147 | 2026-03-09 04:28:30 | slabs | 1 | 28756 | 17 | 1.170 | 24577.8 |
| 1146 | 2026-03-08 08:24:31 | slabs | 1 | 28756 | 17 | 0.516 | 55728.7 |
| 1145 | 2026-03-08 03:20:34 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 1144 | 2026-03-07 18:43:39 | slabs | 1 | 28756 | 17 | 0.546 | 52666.7 |
| 1143 | 2026-03-07 15:01:20 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 1142 | 2026-03-07 14:34:07 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 1141 | 2026-03-05 12:11:44 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 1140 | 2026-03-02 14:22:16 | slabs | 1 | 28756 | 17 | 0.516 | 55728.7 |
| 1139 | 2026-02-17 14:32:22 | slabs | 1 | 28756 | 17 | 0.546 | 52666.7 |
| 1138 | 2026-02-16 19:10:34 | slabs | 1 | 28756 | 17 | 0.546 | 52666.7 |
| 1137 | 2026-02-12 15:16:32 | slabs | 1 | 28756 | 17 | 2.330 | 12341.6 |
| 1136 | 2026-02-12 15:16:17 | slabs | 1 | 28756 | 17 | 2.343 | 12273.2 |
| 1135 | 2026-02-02 09:44:05 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 1134 | 2026-01-29 07:29:59 | slabs | 1 | 28756 | 17 | 0.550 | 52283.6 |
| 1133 | 2026-01-22 19:59:32 | slabs | 1 | 28756 | 17 | 2.250 | 12780.4 |
| 1132 | 2026-01-22 19:58:50 | slabs | 1 | 28756 | 17 | 2.110 | 13628.4 |
| 1131 | 2026-01-19 03:48:05 | slabs | 1 | 28756 | 17 | 0.546 | 52666.7 |
| 1130 | 2026-01-19 03:23:00 | slabs | 1 | 28756 | 17 | 0.483 | 59536.2 |
| 1129 | 2026-01-19 02:17:28 | slabs | 1 | 28756 | 17 | 1.050 | 27386.7 |
| 1128 | 2026-01-18 22:46:15 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
| 1127 | 2026-01-18 17:48:07 | slabs | 1 | 28756 | 17 | 3.343 | 8601.9 |
| 1126 | 2026-01-18 11:51:06 | slabs | 1 | 28756 | 17 | 0.580 | 49579.3 |
| 1125 | 2026-01-18 10:32:38 | slabs | 1 | 28756 | 17 | 0.546 | 52666.7 |
| 1124 | 2026-01-17 01:49:51 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 1123 | 2026-01-01 01:27:38 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 1122 | 2025-12-28 15:13:45 | slabs | 1 | 28756 | 17 | 2.313 | 12432.3 |
| 1121 | 2025-12-28 15:13:26 | slabs | 1 | 28756 | 17 | 0.953 | 30174.2 |
| 1120 | 2025-12-26 05:32:04 | slabs | 1 | 28756 | 17 | 3.596 | 7996.7 |
| 1119 | 2025-12-06 09:26:50 | slabs | 1 | 28756 | 17 | 0.533 | 53951.2 |
| 1118 | 2025-12-03 04:32:15 | slabs | 1 | 28756 | 17 | 0.516 | 55728.7 |
| 1117 | 2025-12-02 21:31:40 | slabs | 1 | 28756 | 17 | 0.546 | 52666.7 |
| 1116 | 2025-12-02 21:28:35 | slabs | 1 | 28756 | 17 | 0.546 | 52666.7 |
| 1115 | 2025-11-27 06:51:10 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
| 1114 | 2025-11-24 07:39:08 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 1113 | 2025-11-22 05:46:26 | slabs | 1 | 28756 | 17 | 0.576 | 49923.6 |
| 1112 | 2025-11-20 00:39:54 | slabs | 1 | 28756 | 17 | 0.706 | 40730.9 |
| 1111 | 2025-11-19 06:42:47 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 1110 | 2025-11-15 16:46:04 | slabs | 1 | 28756 | 17 | 0.546 | 52666.7 |
| 1109 | 2025-11-15 04:20:42 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 1108 | 2025-11-12 20:08:35 | slabs | 1 | 28756 | 17 | 0.533 | 53951.2 |
| 1107 | 2025-11-11 17:34:10 | slabs | 1 | 28756 | 17 | 0.500 | 57512.0 |
| 1106 | 2025-11-05 19:12:38 | slabs | 1 | 28756 | 17 | 0.533 | 53951.2 |
| 1105 | 2025-11-04 15:16:47 | slabs | 1 | 28756 | 17 | 0.466 | 61708.2 |
| 1104 | 2025-11-03 10:20:03 | slabs | 1 | 28756 | 17 | 0.470 | 61183.0 |
| 1103 | 2025-11-02 06:04:02 | slabs | 1 | 28756 | 17 | 1.096 | 26237.2 |
| 1102 | 2025-11-01 05:26:23 | slabs | 1 | 28756 | 17 | 1.063 | 27051.7 |
| 1101 | 2025-10-31 02:35:18 | slabs | 1 | 28756 | 17 | 1.030 | 27918.4 |
| 1100 | 2025-10-30 23:36:01 | slabs | 1 | 28756 | 17 | 0.516 | 55728.7 |
| 1099 | 2025-10-27 23:52:37 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 1098 | 2025-10-22 14:44:12 | slabs | 1 | 28756 | 17 | 1.220 | 23570.5 |
| 1097 | 2025-10-22 13:03:32 | slabs | 1 | 28756 | 17 | 2.893 | 9939.9 |
| 1096 | 2025-10-20 18:46:21 | slabs | 1 | 28756 | 17 | 2.110 | 13628.4 |
| 1095 | 2025-10-20 03:49:20 | slabs | 1 | 28756 | 17 | 0.516 | 55728.7 |
| 1094 | 2025-09-26 08:07:40 | slabs | 1 | 28756 | 17 | 0.470 | 61183.0 |
| 1093 | 2025-09-24 04:24:35 | slabs | 1 | 28756 | 17 | 0.470 | 61183.0 |
| 1092 | 2025-09-22 08:43:53 | slabs | 1 | 28756 | 17 | 0.533 | 53951.2 |
| 1091 | 2025-09-21 05:51:56 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
| 1090 | 2025-09-17 10:43:06 | slabs | 1 | 28756 | 17 | 0.516 | 55728.7 |
| 1089 | 2025-09-16 16:37:46 | slabs | 1 | 28756 | 17 | 0.500 | 57512.0 |
| 1088 | 2025-09-16 11:01:58 | slabs | 1 | 28756 | 17 | 0.500 | 57512.0 |
| 1087 | 2025-09-15 14:43:02 | slabs | 1 | 28756 | 17 | 1.013 | 28387.0 |
| 1086 | 2025-09-15 00:25:16 | slabs | 1 | 28756 | 17 | 1.063 | 27051.7 |
| 1085 | 2025-09-14 19:00:28 | slabs | 1 | 28756 | 17 | 1.033 | 27837.4 |
| 1084 | 2025-09-13 13:04:56 | slabs | 1 | 28756 | 17 | 0.516 | 55728.7 |
| 1083 | 2025-09-13 08:33:54 | slabs | 1 | 28756 | 17 | 0.796 | 36125.6 |
| 1082 | 2025-09-12 16:44:01 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
| 1081 | 2025-09-12 04:59:50 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
| 1080 | 2025-09-11 23:37:32 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 1079 | 2025-09-11 07:55:51 | slabs | 1 | 28756 | 17 | 0.546 | 52666.7 |
| 1078 | 2025-09-10 20:23:59 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
| 1077 | 2025-09-10 16:06:04 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
| 1076 | 2025-09-09 12:23:04 | slabs | 1 | 28756 | 17 | 0.466 | 61708.2 |
| 1075 | 2025-09-09 05:38:13 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |