History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"bony"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1152 | 2026-03-07 03:46:11 | bony | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1151 | 2026-03-04 06:54:38 | bony | 1 | 13983 | 16 | 0.500 | 27966.0 |
| 1150 | 2026-03-01 23:38:30 | bony | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1149 | 2026-02-28 15:54:40 | bony | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1148 | 2026-02-21 23:06:06 | bony | 1 | 13983 | 16 | 0.486 | 28771.6 |
| 1147 | 2026-02-20 12:53:10 | bony | 2 | 29872 | 313 | 4.076 | 7328.8 |
| 1146 | 2026-02-12 10:37:09 | bony | 2 | 29872 | 313 | 4.403 | 6784.5 |
| 1145 | 2026-02-12 05:26:51 | bony | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1144 | 2026-02-10 01:57:27 | bony | 1 | 13983 | 16 | 1.843 | 7587.1 |
| 1143 | 2026-02-07 10:49:49 | bony | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1142 | 2026-02-05 12:26:14 | bony | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1141 | 2026-02-03 20:05:52 | bony | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1140 | 2026-02-02 06:28:13 | bony | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1139 | 2026-02-02 06:09:30 | bony | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1138 | 2026-02-02 06:02:54 | bony | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1137 | 2026-02-01 23:11:58 | bony | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1136 | 2026-02-01 14:38:06 | bony | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1135 | 2026-02-01 04:56:22 | bony | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1134 | 2026-02-01 03:17:45 | bony | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1133 | 2026-02-01 02:50:01 | bony | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1132 | 2026-01-31 13:55:03 | bony | 1 | 13983 | 16 | 0.280 | 49939.3 |
| 1131 | 2026-01-30 23:35:59 | bony | 1 | 13983 | 16 | 0.280 | 49939.3 |
| 1130 | 2026-01-30 19:08:35 | bony | 1 | 13983 | 16 | 0.283 | 49409.9 |
| 1129 | 2026-01-30 13:30:51 | bony | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1128 | 2026-01-30 09:23:56 | bony | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1127 | 2026-01-29 13:33:10 | bony | 1 | 13983 | 16 | 0.516 | 27098.8 |
| 1126 | 2026-01-28 22:58:44 | bony | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1125 | 2026-01-27 11:30:07 | bony | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1124 | 2026-01-27 05:12:12 | bony | 2 | 29872 | 313 | 1.470 | 20321.1 |
| 1123 | 2026-01-26 23:53:42 | bony | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1122 | 2026-01-24 20:56:08 | bony | 1 | 13983 | 16 | 0.970 | 14415.5 |
| 1121 | 2026-01-14 12:28:07 | bony | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1120 | 2026-01-08 02:00:26 | bony | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1119 | 2026-01-08 01:34:12 | bony | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1118 | 2026-01-07 21:45:14 | bony | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1117 | 2026-01-06 21:04:09 | bony | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1116 | 2026-01-03 22:10:47 | bony | 1 | 13983 | 16 | 0.296 | 47239.9 |
| 1115 | 2026-01-02 12:30:35 | bony | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1114 | 2026-01-02 09:06:48 | bony | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1113 | 2026-01-02 03:04:43 | bony | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1112 | 2025-12-29 00:36:45 | bony | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1111 | 2025-12-23 20:16:40 | bony | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1110 | 2025-12-17 21:34:39 | bony | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1109 | 2025-12-15 03:13:41 | bony | 1 | 13983 | 16 | 0.500 | 27966.0 |
| 1108 | 2025-12-07 04:42:50 | bony | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1107 | 2025-12-02 04:56:59 | bony | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1106 | 2025-11-28 10:50:58 | bony | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1105 | 2025-11-24 06:24:50 | bony | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1104 | 2025-11-22 06:52:43 | bony | 2 | 29872 | 313 | 1.233 | 24227.1 |
| 1103 | 2025-11-21 20:26:20 | bony | 2 | 29872 | 313 | 0.903 | 33080.8 |
| 1102 | 2025-11-21 15:50:33 | bony | 2 | 29872 | 313 | 2.013 | 14839.5 |
| 1101 | 2025-11-21 03:22:06 | bony | 1 | 13983 | 16 | 0.640 | 21848.4 |
| 1100 | 2025-11-18 04:55:48 | bony | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1099 | 2025-11-15 03:27:45 | bony | 1 | 13983 | 16 | 0.470 | 29751.1 |
| 1098 | 2025-11-14 13:21:04 | bony | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1097 | 2025-11-13 19:05:20 | bony | 1 | 13983 | 16 | 0.453 | 30867.5 |
| 1096 | 2025-11-10 22:27:48 | bony | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1095 | 2025-11-07 22:28:16 | bony | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1094 | 2025-11-02 06:06:08 | bony | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1093 | 2025-10-19 22:59:19 | bony | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1092 | 2025-10-03 02:41:59 | bony | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1091 | 2025-10-01 08:40:21 | bony | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1090 | 2025-09-30 19:01:21 | bony | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1089 | 2025-09-25 02:09:20 | bony | 2 | 29872 | 313 | 0.906 | 32971.3 |
| 1088 | 2025-09-25 00:14:19 | bony | 1 | 13983 | 16 | 2.216 | 6310.0 |
| 1087 | 2025-09-18 00:59:35 | bony | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1086 | 2025-09-17 07:22:45 | bony | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1085 | 2025-09-07 01:45:23 | bony | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1084 | 2025-09-02 23:06:27 | bony | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1083 | 2025-09-01 03:20:00 | bony | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1082 | 2025-08-31 04:08:52 | bony | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1081 | 2025-08-25 13:49:53 | bony | 1 | 13983 | 16 | 1.360 | 10281.6 |
| 1080 | 2025-08-19 09:41:27 | bony | 1 | 13983 | 16 | 1.153 | 12127.5 |
| 1079 | 2025-08-09 15:59:19 | bony | 1 | 13983 | 16 | 1.033 | 13536.3 |
| 1078 | 2025-08-01 10:08:21 | bony | 2 | 29872 | 313 | 3.220 | 9277.0 |
| 1077 | 2025-07-31 14:05:58 | bony | 1 | 13983 | 16 | 0.826 | 16928.6 |
| 1076 | 2025-07-31 01:03:49 | bony | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1075 | 2025-07-28 14:24:26 | bony | 1 | 13983 | 16 | 0.686 | 20383.4 |
| 1074 | 2025-07-28 02:09:13 | bony | 2 | 29872 | 313 | 3.813 | 7834.3 |
| 1073 | 2025-07-27 15:28:29 | bony | 2 | 29872 | 313 | 1.796 | 16632.5 |
| 1072 | 2025-07-27 10:22:24 | bony | 2 | 29872 | 313 | 3.890 | 7679.2 |
| 1071 | 2025-07-26 03:53:06 | bony | 2 | 29872 | 313 | 0.956 | 31246.9 |
| 1070 | 2025-07-25 23:38:29 | bony | 2 | 29872 | 313 | 0.890 | 33564.0 |
| 1069 | 2025-07-22 22:39:38 | bony | 1 | 13983 | 16 | 0.343 | 40766.8 |
| 1068 | 2025-07-17 11:01:27 | bony | 1 | 13983 | 16 | 1.610 | 8685.1 |
| 1067 | 2025-07-08 15:29:49 | bony | 1 | 13983 | 16 | 0.860 | 16259.3 |
| 1066 | 2025-06-30 08:49:19 | bony | 1 | 13983 | 16 | 0.623 | 22444.6 |
| 1065 | 2025-06-29 18:01:13 | bony | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1064 | 2025-06-29 00:21:05 | bony | 2 | 29872 | 313 | 0.873 | 34217.6 |
| 1063 | 2025-06-27 11:54:56 | bony | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1062 | 2025-06-22 07:55:45 | bony | 2 | 29872 | 313 | 2.580 | 11578.3 |
| 1061 | 2025-06-20 23:34:13 | bony | 2 | 29872 | 313 | 6.076 | 4916.4 |
| 1060 | 2025-06-16 10:04:48 | bony | 1 | 13983 | 16 | 1.016 | 13762.8 |
| 1059 | 2025-06-15 15:08:23 | bony | 1 | 13983 | 16 | 0.483 | 28950.3 |
| 1058 | 2025-05-31 13:29:38 | bony | 2 | 29872 | 313 | 4.016 | 7438.2 |
| 1057 | 2025-05-30 15:34:52 | bony | 1 | 13983 | 16 | 1.456 | 9603.7 |
| 1056 | 2025-05-29 08:39:02 | bony | 2 | 29872 | 313 | 2.923 | 10219.6 |
| 1055 | 2025-05-28 19:59:12 | bony | 1 | 13983 | 16 | 1.533 | 9121.3 |
| 1054 | 2025-05-28 09:36:59 | bony | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1053 | 2025-05-27 20:36:36 | bony | 2 | 29872 | 313 | 0.923 | 32364.0 |