History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cube"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1135 | 2025-12-14 01:47:57 | cube | 1 | 13983 | 15 | 1.046 | 13368.1 |
| 1134 | 2025-12-14 01:47:45 | cube | 1 | 13983 | 15 | 1.250 | 11186.4 |
| 1133 | 2025-12-08 10:45:49 | cube | 2 | 29872 | 225 | 0.843 | 35435.3 |
| 1132 | 2025-12-07 16:09:29 | cube | 2 | 29872 | 225 | 0.736 | 40587.0 |
| 1131 | 2025-12-07 15:59:37 | cube | 2 | 29872 | 225 | 0.843 | 35435.3 |
| 1130 | 2025-12-07 15:48:12 | cube | 2 | 29872 | 225 | 0.766 | 38997.4 |
| 1129 | 2025-12-07 15:32:21 | cube | 2 | 29872 | 225 | 0.923 | 32364.0 |
| 1128 | 2025-12-02 00:37:00 | cube | 1 | 13983 | 15 | 0.500 | 27966.0 |
| 1127 | 2025-11-28 20:05:30 | cube | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1126 | 2025-11-26 09:40:28 | cube | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1125 | 2025-11-26 05:46:59 | cube | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1124 | 2025-11-25 17:18:32 | cube | 2 | 29872 | 225 | 0.936 | 31914.5 |
| 1123 | 2025-11-25 16:41:23 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1122 | 2025-11-25 01:27:33 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1121 | 2025-11-24 23:57:49 | cube | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1120 | 2025-11-23 21:39:09 | cube | 2 | 29872 | 225 | 1.310 | 22803.1 |
| 1119 | 2025-11-23 08:11:35 | cube | 1 | 13983 | 15 | 0.483 | 28950.3 |
| 1118 | 2025-11-22 15:55:09 | cube | 2 | 29872 | 225 | 0.906 | 32971.3 |
| 1117 | 2025-11-19 22:32:36 | cube | 1 | 13983 | 15 | 0.970 | 14415.5 |
| 1116 | 2025-11-18 23:15:13 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1115 | 2025-11-18 02:30:24 | cube | 1 | 13983 | 15 | 0.263 | 53167.3 |
| 1114 | 2025-11-14 18:37:15 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1113 | 2025-11-14 09:29:51 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1112 | 2025-11-14 04:01:36 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1111 | 2025-11-13 16:33:01 | cube | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1110 | 2025-11-13 14:07:12 | cube | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1109 | 2025-11-13 04:23:20 | cube | 1 | 13983 | 15 | 0.486 | 28771.6 |
| 1108 | 2025-11-13 00:34:53 | cube | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 1107 | 2025-11-10 20:24:16 | cube | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 1106 | 2025-11-10 17:02:07 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1105 | 2025-11-02 14:17:30 | cube | 2 | 29872 | 225 | 0.750 | 39829.3 |
| 1104 | 2025-10-29 11:01:09 | cube | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1103 | 2025-10-28 20:04:55 | cube | 1 | 13983 | 15 | 0.453 | 30867.5 |
| 1102 | 2025-10-28 05:05:44 | cube | 1 | 13983 | 15 | 0.263 | 53167.3 |
| 1101 | 2025-10-26 10:48:24 | cube | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 1100 | 2025-10-25 07:47:50 | cube | 1 | 13983 | 15 | 0.326 | 42892.6 |
| 1099 | 2025-10-25 00:45:23 | cube | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1098 | 2025-10-24 16:25:16 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1097 | 2025-10-23 02:16:28 | cube | 1 | 13983 | 15 | 0.296 | 47239.9 |
| 1096 | 2025-10-19 18:51:33 | cube | 1 | 13983 | 15 | 1.156 | 12096.0 |
| 1095 | 2025-10-15 12:44:23 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1094 | 2025-09-30 13:36:36 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1093 | 2025-09-27 12:21:27 | cube | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1092 | 2025-09-25 01:04:50 | cube | 1 | 13983 | 15 | 0.703 | 19890.5 |
| 1091 | 2025-09-25 01:04:45 | cube | 1 | 13983 | 15 | 0.660 | 21186.4 |
| 1090 | 2025-09-25 01:04:37 | cube | 1 | 13983 | 15 | 1.123 | 12451.5 |
| 1089 | 2025-09-25 01:04:30 | cube | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1088 | 2025-09-23 12:04:03 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1087 | 2025-09-22 18:29:21 | cube | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1086 | 2025-09-21 08:10:45 | cube | 1 | 13983 | 15 | 0.313 | 44674.1 |
| 1085 | 2025-09-20 11:37:55 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1084 | 2025-09-19 10:18:35 | cube | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1083 | 2025-09-19 09:06:43 | cube | 2 | 29872 | 225 | 0.873 | 34217.6 |
| 1082 | 2025-09-19 07:36:31 | cube | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 1081 | 2025-09-18 22:35:52 | cube | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 1080 | 2025-09-18 20:40:14 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1079 | 2025-09-17 23:17:10 | cube | 2 | 29872 | 225 | 0.766 | 38997.4 |
| 1078 | 2025-09-14 06:12:19 | cube | 1 | 13983 | 15 | 0.483 | 28950.3 |
| 1077 | 2025-09-13 23:23:23 | cube | 1 | 13983 | 15 | 0.203 | 68881.8 |
| 1076 | 2025-09-09 22:11:12 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1075 | 2025-09-06 04:09:34 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1074 | 2025-09-01 03:32:15 | cube | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 1073 | 2025-08-30 21:42:35 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1072 | 2025-08-29 13:37:17 | cube | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1071 | 2025-08-28 19:39:38 | cube | 1 | 13983 | 15 | 0.483 | 28950.3 |
| 1070 | 2025-08-27 11:52:06 | cube | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 1069 | 2025-08-19 10:38:22 | cube | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1068 | 2025-08-18 22:52:09 | cube | 1 | 13983 | 15 | 0.810 | 17263.0 |
| 1067 | 2025-08-12 19:11:35 | cube | 1 | 13983 | 15 | 0.546 | 25609.9 |
| 1066 | 2025-08-05 11:51:33 | cube | 2 | 29872 | 225 | 1.966 | 15194.3 |
| 1065 | 2025-08-04 04:27:03 | cube | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 1064 | 2025-08-01 09:36:58 | cube | 2 | 29872 | 225 | 4.563 | 6546.6 |
| 1063 | 2025-07-31 02:09:02 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1062 | 2025-07-31 00:02:02 | cube | 1 | 13983 | 15 | 1.000 | 13983.0 |
| 1061 | 2025-07-29 07:28:45 | cube | 1 | 13983 | 15 | 0.720 | 19420.8 |
| 1060 | 2025-07-27 14:09:18 | cube | 1 | 13983 | 15 | 1.263 | 11071.3 |
| 1059 | 2025-07-22 12:55:54 | cube | 2 | 29872 | 225 | 6.190 | 4825.8 |
| 1058 | 2025-07-18 18:57:19 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1057 | 2025-07-18 18:57:18 | cube | 1 | 13983 | 15 | 0.656 | 21315.5 |
| 1056 | 2025-07-17 00:37:02 | cube | 1 | 13983 | 15 | 0.766 | 18254.6 |
| 1055 | 2025-07-13 17:45:20 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1054 | 2025-07-10 17:19:50 | cube | 2 | 29872 | 225 | 4.423 | 6753.8 |
| 1053 | 2025-07-08 17:44:45 | cube | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 1052 | 2025-07-03 03:47:11 | cube | 1 | 13983 | 15 | 0.593 | 23580.1 |
| 1051 | 2025-07-02 11:28:07 | cube | 2 | 29872 | 225 | 4.296 | 6953.4 |
| 1050 | 2025-06-30 23:05:33 | cube | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 1049 | 2025-06-30 17:28:01 | cube | 2 | 29872 | 225 | 3.653 | 8177.4 |
| 1048 | 2025-06-29 12:17:21 | cube | 2 | 29872 | 225 | 0.873 | 34217.6 |
| 1047 | 2025-06-16 18:49:59 | cube | 1 | 13983 | 15 | 0.953 | 14672.6 |
| 1046 | 2025-06-16 16:17:49 | cube | 1 | 13983 | 15 | 1.110 | 12597.3 |
| 1045 | 2025-06-04 10:57:55 | cube | 1 | 13983 | 15 | 1.046 | 13368.1 |
| 1044 | 2025-05-31 22:51:48 | cube | 1 | 13983 | 15 | 1.330 | 10513.5 |
| 1043 | 2025-05-31 18:18:54 | cube | 2 | 29872 | 225 | 2.966 | 10071.5 |
| 1042 | 2025-05-31 16:25:22 | cube | 2 | 29872 | 225 | 5.046 | 5919.9 |
| 1041 | 2025-05-30 20:54:29 | cube | 1 | 13983 | 15 | 1.376 | 10162.1 |
| 1040 | 2025-05-29 19:49:30 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 1039 | 2025-05-29 07:21:16 | cube | 2 | 29872 | 225 | 4.123 | 7245.2 |
| 1038 | 2025-05-29 00:07:42 | cube | 2 | 29872 | 225 | 6.016 | 4965.4 |
| 1037 | 2025-05-28 14:55:38 | cube | 1 | 13983 | 15 | 1.296 | 10789.4 |
| 1036 | 2025-05-28 03:30:18 | cube | 1 | 13983 | 15 | 0.250 | 55932.0 |