History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"wholes"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1162 | 2025-12-03 14:27:19 | wholes | 1 | 48755 | 8 | 0.750 | 65006.7 |
| 1161 | 2025-11-30 12:28:25 | wholes | 1 | 48755 | 8 | 1.623 | 30040.0 |
| 1160 | 2025-11-26 03:00:54 | wholes | 1 | 48755 | 8 | 1.750 | 27860.0 |
| 1159 | 2025-11-21 04:43:40 | wholes | 1 | 48755 | 8 | 0.826 | 59025.4 |
| 1158 | 2025-11-19 03:24:02 | wholes | 1 | 48755 | 8 | 0.860 | 56691.9 |
| 1157 | 2025-11-19 03:23:31 | wholes | 1 | 48755 | 8 | 0.813 | 59969.2 |
| 1156 | 2025-11-16 14:56:47 | wholes | 1 | 48755 | 8 | 0.873 | 55847.7 |
| 1155 | 2025-11-15 18:19:46 | wholes | 1 | 48755 | 8 | 0.750 | 65006.7 |
| 1154 | 2025-11-15 15:06:37 | wholes | 1 | 48755 | 8 | 1.610 | 30282.6 |
| 1153 | 2025-11-12 07:54:42 | wholes | 1 | 48755 | 8 | 0.860 | 56691.9 |
| 1152 | 2025-11-12 07:32:28 | wholes | 1 | 48755 | 8 | 0.826 | 59025.4 |
| 1151 | 2025-10-20 09:54:28 | wholes | 1 | 48755 | 8 | 2.170 | 22467.7 |
| 1150 | 2025-10-18 07:42:08 | wholes | 1 | 48755 | 8 | 0.780 | 62506.4 |
| 1149 | 2025-10-05 00:35:20 | wholes | 1 | 48755 | 8 | 0.733 | 66514.3 |
| 1148 | 2025-10-02 06:20:40 | wholes | 1 | 48755 | 8 | 0.750 | 65006.7 |
| 1147 | 2025-09-10 00:13:10 | wholes | 2 | 82551 | 105 | 2.313 | 35690.0 |
| 1146 | 2025-09-04 04:49:18 | wholes | 1 | 48755 | 8 | 0.720 | 67715.3 |
| 1145 | 2025-09-02 17:49:15 | wholes | 1 | 48755 | 8 | 0.826 | 59025.4 |
| 1144 | 2025-08-27 15:03:42 | wholes | 1 | 48755 | 8 | 0.843 | 57835.1 |
| 1143 | 2025-08-26 23:51:17 | wholes | 1 | 48755 | 8 | 2.050 | 23782.9 |
| 1142 | 2025-08-18 21:50:13 | wholes | 1 | 48755 | 8 | 1.893 | 25755.4 |
| 1141 | 2025-08-10 07:53:26 | wholes | 1 | 48755 | 8 | 1.673 | 29142.3 |
| 1140 | 2025-08-09 13:46:38 | wholes | 2 | 82551 | 105 | 11.673 | 7072.0 |
| 1139 | 2025-08-09 08:42:50 | wholes | 1 | 48755 | 8 | 1.483 | 32875.9 |
| 1138 | 2025-08-06 09:23:35 | wholes | 2 | 82551 | 105 | 5.736 | 14391.7 |
| 1137 | 2025-08-05 07:10:36 | wholes | 1 | 48755 | 8 | 1.970 | 24748.7 |
| 1136 | 2025-08-04 14:04:19 | wholes | 1 | 48755 | 8 | 0.766 | 63648.8 |
| 1135 | 2025-07-25 01:20:09 | wholes | 1 | 48755 | 8 | 3.266 | 14928.0 |
| 1134 | 2025-07-24 02:50:03 | wholes | 1 | 48755 | 8 | 3.453 | 14119.6 |
| 1133 | 2025-07-23 01:33:03 | wholes | 1 | 48755 | 8 | 2.203 | 22131.2 |
| 1132 | 2025-07-21 17:04:13 | wholes | 1 | 48755 | 8 | 0.813 | 59969.2 |
| 1131 | 2025-07-19 02:13:15 | wholes | 1 | 48755 | 8 | 0.796 | 61250.0 |
| 1130 | 2025-07-16 23:42:53 | wholes | 1 | 48755 | 8 | 1.406 | 34676.4 |
| 1129 | 2025-07-13 20:32:15 | wholes | 2 | 82551 | 105 | 12.126 | 6807.8 |
| 1128 | 2025-07-12 00:12:55 | wholes | 2 | 82551 | 105 | 5.186 | 15918.0 |
| 1127 | 2025-07-08 08:58:03 | wholes | 1 | 48755 | 8 | 4.670 | 10440.0 |
| 1126 | 2025-07-07 02:45:49 | wholes | 1 | 48755 | 8 | 5.593 | 8717.1 |
| 1125 | 2025-07-05 16:07:43 | wholes | 1 | 48755 | 8 | 2.236 | 21804.6 |
| 1124 | 2025-07-04 04:47:56 | wholes | 1 | 48755 | 8 | 4.550 | 10715.4 |
| 1123 | 2025-07-02 08:33:10 | wholes | 1 | 48755 | 8 | 3.593 | 13569.4 |
| 1122 | 2025-06-29 16:20:03 | wholes | 1 | 48755 | 8 | 1.343 | 36303.1 |
| 1121 | 2025-06-24 23:54:25 | wholes | 2 | 82551 | 105 | 5.750 | 14356.7 |
| 1120 | 2025-06-19 08:30:27 | wholes | 2 | 82551 | 105 | 5.783 | 14274.8 |
| 1119 | 2025-06-18 10:11:35 | wholes | 1 | 48755 | 8 | 3.920 | 12437.5 |
| 1118 | 2025-06-15 22:25:39 | wholes | 1 | 48755 | 8 | 2.280 | 21383.8 |
| 1117 | 2025-06-08 00:33:46 | wholes | 1 | 48755 | 8 | 3.903 | 12491.7 |
| 1116 | 2025-06-07 08:23:47 | wholes | 1 | 48755 | 8 | 0.873 | 55847.7 |
| 1115 | 2025-06-07 06:06:20 | wholes | 1 | 48755 | 8 | 3.546 | 13749.3 |
| 1114 | 2025-06-01 12:02:14 | wholes | 1 | 48755 | 8 | 0.813 | 59969.2 |
| 1113 | 2025-05-28 23:33:01 | wholes | 1 | 48755 | 8 | 4.143 | 11768.0 |
| 1112 | 2025-05-28 20:23:08 | wholes | 2 | 82551 | 105 | 6.046 | 13653.8 |
| 1111 | 2025-05-28 19:26:01 | wholes | 1 | 48755 | 8 | 0.736 | 66243.2 |
| 1110 | 2025-05-27 10:54:43 | wholes | 2 | 82551 | 105 | 8.780 | 9402.2 |
| 1109 | 2025-05-26 09:34:44 | wholes | 2 | 82551 | 105 | 12.813 | 6442.8 |
| 1108 | 2025-05-23 21:11:33 | wholes | 1 | 48755 | 8 | 4.000 | 12188.8 |
| 1107 | 2025-05-17 19:29:16 | wholes | 2 | 82551 | 105 | 2.423 | 34069.7 |
| 1106 | 2025-05-17 03:49:09 | wholes | 1 | 48755 | 8 | 4.843 | 10067.1 |
| 1105 | 2025-05-15 23:19:46 | wholes | 1 | 48755 | 8 | 2.530 | 19270.8 |
| 1104 | 2025-05-14 15:04:50 | wholes | 1 | 48755 | 8 | 2.766 | 17626.5 |
| 1103 | 2025-05-14 10:23:24 | wholes | 1 | 48755 | 8 | 6.033 | 8081.4 |
| 1102 | 2025-05-12 09:33:09 | wholes | 1 | 48755 | 8 | 7.766 | 6278.0 |
| 1101 | 2025-05-11 04:02:21 | wholes | 1 | 48755 | 8 | 4.530 | 10762.7 |
| 1100 | 2025-05-08 05:59:39 | wholes | 1 | 48755 | 8 | 1.830 | 26642.1 |
| 1099 | 2025-05-07 08:14:21 | wholes | 1 | 48755 | 8 | 5.763 | 8460.0 |
| 1098 | 2025-05-06 23:36:10 | wholes | 1 | 48755 | 8 | 0.733 | 66514.3 |
| 1097 | 2025-05-05 19:43:27 | wholes | 1 | 48755 | 8 | 4.250 | 11471.8 |
| 1096 | 2025-05-05 05:32:12 | wholes | 1 | 48755 | 8 | 1.923 | 25353.6 |
| 1095 | 2025-05-01 16:37:02 | wholes | 1 | 48755 | 8 | 0.860 | 56691.9 |
| 1094 | 2025-05-01 07:50:31 | wholes | 1 | 48755 | 8 | 0.830 | 58741.0 |
| 1093 | 2025-05-01 03:46:39 | wholes | 1 | 48755 | 8 | 6.170 | 7901.9 |
| 1092 | 2025-04-30 21:20:43 | wholes | 2 | 82551 | 105 | 6.030 | 13690.0 |
| 1091 | 2025-04-29 05:24:39 | wholes | 1 | 48755 | 8 | 0.826 | 59025.4 |
| 1090 | 2025-04-27 21:23:49 | wholes | 1 | 48755 | 8 | 2.143 | 22750.8 |
| 1089 | 2025-04-25 19:06:31 | wholes | 1 | 48755 | 8 | 0.810 | 60191.4 |
| 1088 | 2025-04-16 07:49:59 | wholes | 2 | 82551 | 105 | 10.436 | 7910.2 |
| 1087 | 2025-04-14 21:31:34 | wholes | 1 | 48755 | 8 | 0.813 | 59969.2 |
| 1086 | 2025-04-14 14:25:04 | wholes | 1 | 48755 | 8 | 2.450 | 19900.0 |
| 1085 | 2025-04-13 14:17:55 | wholes | 1 | 48755 | 8 | 0.860 | 56691.9 |
| 1084 | 2025-04-08 19:23:59 | wholes | 2 | 82551 | 105 | 9.470 | 8717.1 |
| 1083 | 2025-04-07 20:27:21 | wholes | 2 | 82551 | 105 | 2.953 | 27955.0 |
| 1082 | 2025-04-07 05:15:25 | wholes | 1 | 48755 | 8 | 0.796 | 61250.0 |
| 1081 | 2025-04-06 13:57:58 | wholes | 2 | 82551 | 105 | 12.970 | 6364.8 |
| 1080 | 2025-04-06 08:24:22 | wholes | 1 | 48755 | 8 | 3.106 | 15697.0 |
| 1079 | 2025-04-05 23:50:10 | wholes | 1 | 48755 | 8 | 5.406 | 9018.7 |
| 1078 | 2025-04-02 08:48:36 | wholes | 2 | 82551 | 105 | 15.436 | 5348.0 |
| 1077 | 2025-03-29 07:09:35 | wholes | 1 | 48755 | 8 | 4.530 | 10762.7 |
| 1076 | 2025-03-17 20:33:32 | wholes | 1 | 48755 | 8 | 5.736 | 8499.8 |
| 1075 | 2025-03-15 12:53:10 | wholes | 1 | 48755 | 8 | 2.220 | 21961.7 |
| 1074 | 2025-03-15 00:39:05 | wholes | 1 | 48755 | 8 | 5.876 | 8297.3 |
| 1073 | 2025-03-07 20:59:52 | wholes | 1 | 48755 | 8 | 3.783 | 12887.9 |
| 1072 | 2025-03-06 21:01:48 | wholes | 1 | 48755 | 8 | 3.016 | 16165.5 |
| 1071 | 2025-03-06 02:32:33 | wholes | 1 | 48755 | 8 | 2.690 | 18124.5 |
| 1070 | 2025-02-25 09:26:33 | wholes | 2 | 82551 | 105 | 10.703 | 7712.9 |
| 1069 | 2025-02-25 06:59:29 | wholes | 2 | 82551 | 105 | 13.140 | 6282.4 |
| 1068 | 2025-02-25 06:59:23 | wholes | 1 | 48755 | 8 | 2.876 | 16952.4 |
| 1067 | 2025-02-08 12:26:12 | wholes | 1 | 48755 | 8 | 5.266 | 9258.5 |
| 1066 | 2025-02-02 23:44:08 | wholes | 1 | 48755 | 8 | 4.220 | 11553.3 |
| 1065 | 2025-01-28 17:22:37 | wholes | 1 | 48755 | 8 | 3.640 | 13394.2 |
| 1064 | 2025-01-27 20:26:12 | wholes | 2 | 82551 | 105 | 11.453 | 7207.8 |
| 1063 | 2025-01-27 17:27:07 | wholes | 2 | 82551 | 105 | 2.296 | 35954.3 |