History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"lean"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1165 | 2025-10-25 03:37:18 | lean | 1 | 13983 | 24 | 0.530 | 26383.0 |
| 1164 | 2025-10-25 02:10:50 | lean | 1 | 13983 | 24 | 0.216 | 64736.1 |
| 1163 | 2025-10-24 11:21:57 | lean | 1 | 13983 | 24 | 0.516 | 27098.8 |
| 1162 | 2025-10-24 10:59:51 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1161 | 2025-10-22 13:26:19 | lean | 1 | 13983 | 24 | 0.686 | 20383.4 |
| 1160 | 2025-10-20 17:30:20 | lean | 1 | 13983 | 24 | 1.890 | 7398.4 |
| 1159 | 2025-10-19 21:59:32 | lean | 1 | 13983 | 24 | 0.283 | 49409.9 |
| 1158 | 2025-10-18 03:19:21 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1157 | 2025-10-16 22:58:42 | lean | 1 | 13983 | 24 | 0.216 | 64736.1 |
| 1156 | 2025-10-15 13:30:03 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1155 | 2025-10-15 13:20:12 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1154 | 2025-10-14 08:20:05 | lean | 1 | 13983 | 24 | 0.216 | 64736.1 |
| 1153 | 2025-10-13 20:09:04 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1152 | 2025-10-12 13:24:40 | lean | 2 | 29872 | 331 | 1.686 | 17717.7 |
| 1151 | 2025-10-12 07:46:14 | lean | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1150 | 2025-10-09 18:48:40 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1149 | 2025-10-08 15:58:19 | lean | 1 | 13983 | 24 | 0.513 | 27257.3 |
| 1148 | 2025-10-07 13:04:25 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1147 | 2025-10-06 09:55:52 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1146 | 2025-10-05 06:07:23 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1145 | 2025-10-04 02:34:02 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1144 | 2025-10-02 19:24:17 | lean | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1143 | 2025-10-01 14:54:27 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1142 | 2025-09-30 11:12:47 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1141 | 2025-09-30 00:42:41 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1140 | 2025-09-29 23:40:04 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1139 | 2025-09-29 08:28:20 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1138 | 2025-09-28 05:41:19 | lean | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1137 | 2025-09-27 21:49:22 | lean | 1 | 13983 | 24 | 0.216 | 64736.1 |
| 1136 | 2025-09-24 14:20:24 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1135 | 2025-09-22 21:02:59 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1134 | 2025-09-21 03:46:24 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1133 | 2025-09-19 23:30:14 | lean | 2 | 29872 | 331 | 0.860 | 34734.9 |
| 1132 | 2025-09-19 07:29:41 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1131 | 2025-09-17 07:00:10 | lean | 1 | 13983 | 24 | 0.486 | 28771.6 |
| 1130 | 2025-09-14 12:41:49 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1129 | 2025-09-13 20:49:31 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1128 | 2025-09-12 14:20:23 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1127 | 2025-09-12 07:08:56 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1126 | 2025-09-11 05:25:23 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1125 | 2025-09-09 21:01:59 | lean | 1 | 13983 | 24 | 0.253 | 55268.8 |
| 1124 | 2025-09-09 21:01:57 | lean | 1 | 13983 | 24 | 0.516 | 27098.8 |
| 1123 | 2025-09-08 05:08:34 | lean | 1 | 13983 | 24 | 0.220 | 63559.1 |
| 1122 | 2025-09-05 21:38:00 | lean | 1 | 13983 | 24 | 0.280 | 49939.3 |
| 1121 | 2025-09-03 18:17:09 | lean | 1 | 13983 | 24 | 0.310 | 45106.5 |
| 1120 | 2025-09-03 06:32:04 | lean | 2 | 29872 | 331 | 0.830 | 35990.4 |
| 1119 | 2025-09-01 18:19:34 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1118 | 2025-09-01 04:32:05 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1117 | 2025-08-31 05:23:18 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1116 | 2025-08-30 16:44:59 | lean | 1 | 13983 | 24 | 0.216 | 64736.1 |
| 1115 | 2025-08-27 00:10:45 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1114 | 2025-08-26 21:23:34 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1113 | 2025-08-24 22:45:06 | lean | 1 | 13983 | 24 | 2.030 | 6888.2 |
| 1112 | 2025-08-22 20:46:13 | lean | 2 | 29872 | 331 | 6.606 | 4521.9 |
| 1111 | 2025-08-22 08:49:37 | lean | 2 | 29872 | 331 | 0.890 | 33564.0 |
| 1110 | 2025-08-21 14:11:59 | lean | 2 | 29872 | 331 | 4.466 | 6688.8 |
| 1109 | 2025-08-05 18:00:57 | lean | 1 | 13983 | 24 | 0.280 | 49939.3 |
| 1108 | 2025-08-05 16:05:01 | lean | 1 | 13983 | 24 | 0.436 | 32071.1 |
| 1107 | 2025-08-05 12:27:30 | lean | 2 | 29872 | 331 | 2.420 | 12343.8 |
| 1106 | 2025-08-04 06:26:34 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1105 | 2025-07-27 01:32:15 | lean | 1 | 13983 | 24 | 0.656 | 21315.5 |
| 1104 | 2025-07-26 22:35:31 | lean | 2 | 29872 | 331 | 3.610 | 8274.8 |
| 1103 | 2025-07-26 22:35:30 | lean | 2 | 29872 | 331 | 1.563 | 19112.0 |
| 1102 | 2025-07-26 10:35:26 | lean | 1 | 13983 | 24 | 0.906 | 15433.8 |
| 1101 | 2025-07-24 23:44:19 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1100 | 2025-07-24 02:31:04 | lean | 1 | 13983 | 24 | 1.220 | 11461.5 |
| 1099 | 2025-07-23 02:08:11 | lean | 2 | 29872 | 331 | 3.780 | 7902.6 |
| 1098 | 2025-07-22 15:34:17 | lean | 1 | 13983 | 24 | 1.110 | 12597.3 |
| 1097 | 2025-07-22 15:03:59 | lean | 1 | 13983 | 24 | 0.890 | 15711.2 |
| 1096 | 2025-07-22 04:38:13 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1095 | 2025-07-22 01:50:10 | lean | 2 | 29872 | 331 | 0.860 | 34734.9 |
| 1094 | 2025-07-19 14:35:45 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1093 | 2025-07-18 18:30:33 | lean | 2 | 29872 | 331 | 4.326 | 6905.2 |
| 1092 | 2025-07-17 19:49:31 | lean | 1 | 13983 | 24 | 0.703 | 19890.5 |
| 1091 | 2025-07-09 03:50:24 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1090 | 2025-07-07 03:04:33 | lean | 2 | 29872 | 331 | 2.156 | 13855.3 |
| 1089 | 2025-07-06 13:56:24 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1088 | 2025-07-04 12:24:11 | lean | 2 | 29872 | 331 | 2.156 | 13855.3 |
| 1087 | 2025-07-03 05:07:56 | lean | 1 | 13983 | 24 | 0.940 | 14875.5 |
| 1086 | 2025-07-02 08:00:56 | lean | 1 | 13983 | 24 | 2.153 | 6494.7 |
| 1085 | 2025-07-01 03:07:45 | lean | 1 | 13983 | 24 | 0.860 | 16259.3 |
| 1084 | 2025-06-30 13:52:42 | lean | 1 | 13983 | 24 | 1.186 | 11790.1 |
| 1083 | 2025-06-30 12:07:25 | lean | 1 | 13983 | 24 | 0.890 | 15711.2 |
| 1082 | 2025-06-27 16:47:02 | lean | 1 | 13983 | 24 | 1.826 | 7657.7 |
| 1081 | 2025-06-26 01:06:01 | lean | 1 | 13983 | 24 | 1.186 | 11790.1 |
| 1080 | 2025-06-22 18:49:51 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1079 | 2025-06-19 21:21:36 | lean | 2 | 29872 | 331 | 4.263 | 7007.3 |
| 1078 | 2025-06-18 23:19:20 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1077 | 2025-06-16 16:14:36 | lean | 1 | 13983 | 24 | 1.313 | 10649.7 |
| 1076 | 2025-06-06 12:50:15 | lean | 1 | 13983 | 24 | 0.966 | 14475.2 |
| 1075 | 2025-06-03 04:12:40 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1074 | 2025-05-30 15:05:19 | lean | 1 | 13983 | 24 | 0.983 | 14224.8 |
| 1073 | 2025-05-28 18:42:32 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1072 | 2025-05-26 01:08:39 | lean | 1 | 13983 | 24 | 1.000 | 13983.0 |
| 1071 | 2025-05-19 00:06:37 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1070 | 2025-05-12 15:07:15 | lean | 1 | 13983 | 24 | 1.000 | 13983.0 |
| 1069 | 2025-05-12 11:57:27 | lean | 2 | 29872 | 331 | 4.360 | 6851.4 |
| 1068 | 2025-05-12 03:13:10 | lean | 2 | 29872 | 331 | 2.623 | 11388.5 |
| 1067 | 2025-05-11 01:32:07 | lean | 2 | 29872 | 331 | 2.296 | 13010.5 |
| 1066 | 2025-05-09 20:41:54 | lean | 2 | 29872 | 331 | 6.626 | 4508.3 |