History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"hype"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1144 | 2025-11-22 20:17:26 | hype | 2 | 29872 | 144 | 0.813 | 36742.9 |
| 1143 | 2025-11-22 08:22:21 | hype | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1142 | 2025-11-18 06:38:08 | hype | 1 | 13983 | 10 | 0.266 | 52567.7 |
| 1141 | 2025-11-18 05:41:03 | hype | 1 | 13983 | 10 | 0.233 | 60012.9 |
| 1140 | 2025-11-16 23:39:07 | hype | 1 | 13983 | 10 | 0.266 | 52567.7 |
| 1139 | 2025-11-14 20:23:57 | hype | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1138 | 2025-11-14 13:12:41 | hype | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1137 | 2025-11-14 09:56:09 | hype | 1 | 13983 | 10 | 0.266 | 52567.7 |
| 1136 | 2025-11-13 18:02:43 | hype | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1135 | 2025-11-13 17:30:02 | hype | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1134 | 2025-11-10 22:01:54 | hype | 1 | 13983 | 10 | 0.216 | 64736.1 |
| 1133 | 2025-11-10 20:47:05 | hype | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1132 | 2025-11-01 23:42:02 | hype | 1 | 13983 | 10 | 0.623 | 22444.6 |
| 1131 | 2025-10-25 08:20:48 | hype | 1 | 13983 | 10 | 0.266 | 52567.7 |
| 1130 | 2025-10-16 05:14:35 | hype | 1 | 13983 | 10 | 0.220 | 63559.1 |
| 1129 | 2025-10-11 09:10:41 | hype | 2 | 29872 | 144 | 3.813 | 7834.3 |
| 1128 | 2025-10-11 09:10:21 | hype | 2 | 29872 | 144 | 4.140 | 7215.5 |
| 1127 | 2025-10-11 09:09:49 | hype | 2 | 29872 | 144 | 1.843 | 16208.4 |
| 1126 | 2025-10-09 16:44:28 | hype | 2 | 29872 | 144 | 0.716 | 41720.7 |
| 1125 | 2025-10-06 16:11:53 | hype | 1 | 13983 | 10 | 0.233 | 60012.9 |
| 1124 | 2025-10-03 22:51:22 | hype | 1 | 13983 | 10 | 0.220 | 63559.1 |
| 1123 | 2025-09-22 21:11:56 | hype | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1122 | 2025-09-19 20:15:24 | hype | 2 | 29872 | 144 | 0.826 | 36164.6 |
| 1121 | 2025-09-15 22:51:03 | hype | 1 | 13983 | 10 | 0.233 | 60012.9 |
| 1120 | 2025-09-06 23:06:29 | hype | 1 | 13983 | 10 | 0.203 | 68881.8 |
| 1119 | 2025-09-05 01:57:44 | hype | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1118 | 2025-09-01 04:12:08 | hype | 1 | 13983 | 10 | 0.233 | 60012.9 |
| 1117 | 2025-08-31 21:16:09 | hype | 1 | 13983 | 10 | 0.233 | 60012.9 |
| 1116 | 2025-08-30 03:00:45 | hype | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1115 | 2025-08-28 16:32:52 | hype | 1 | 13983 | 10 | 0.283 | 49409.9 |
| 1114 | 2025-08-21 11:57:31 | hype | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1113 | 2025-08-17 00:49:07 | hype | 1 | 13983 | 10 | 0.673 | 20777.1 |
| 1112 | 2025-08-11 08:57:39 | hype | 1 | 13983 | 10 | 0.236 | 59250.0 |
| 1111 | 2025-08-01 04:07:43 | hype | 1 | 13983 | 10 | 1.356 | 10311.9 |
| 1110 | 2025-07-31 23:18:14 | hype | 2 | 29872 | 144 | 4.440 | 6727.9 |
| 1109 | 2025-07-31 10:10:01 | hype | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1108 | 2025-07-30 21:11:19 | hype | 2 | 29872 | 144 | 1.640 | 18214.6 |
| 1107 | 2025-07-29 09:29:43 | hype | 1 | 13983 | 10 | 0.780 | 17926.9 |
| 1106 | 2025-07-27 01:49:16 | hype | 2 | 29872 | 144 | 2.220 | 13455.9 |
| 1105 | 2025-07-26 12:56:30 | hype | 2 | 29872 | 144 | 0.813 | 36742.9 |
| 1104 | 2025-07-25 23:59:37 | hype | 2 | 29872 | 144 | 5.890 | 5071.6 |
| 1103 | 2025-07-25 21:35:01 | hype | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1102 | 2025-07-25 10:12:32 | hype | 2 | 29872 | 144 | 2.923 | 10219.6 |
| 1101 | 2025-07-23 02:05:03 | hype | 1 | 13983 | 10 | 0.873 | 16017.2 |
| 1100 | 2025-07-22 03:45:40 | hype | 1 | 13983 | 10 | 0.250 | 55932.0 |
| 1099 | 2025-07-21 20:14:57 | hype | 2 | 29872 | 144 | 4.576 | 6528.0 |
| 1098 | 2025-07-18 17:43:14 | hype | 1 | 13983 | 10 | 1.250 | 11186.4 |
| 1097 | 2025-07-17 15:31:16 | hype | 1 | 13983 | 10 | 1.076 | 12995.4 |
| 1096 | 2025-07-13 02:51:03 | hype | 1 | 13983 | 10 | 0.643 | 21746.5 |
| 1095 | 2025-07-11 02:29:42 | hype | 2 | 29872 | 144 | 2.173 | 13746.9 |
| 1094 | 2025-07-09 00:39:55 | hype | 2 | 29872 | 144 | 0.830 | 35990.4 |
| 1093 | 2025-07-02 02:48:26 | hype | 1 | 13983 | 10 | 1.406 | 9945.2 |
| 1092 | 2025-07-01 21:20:07 | hype | 1 | 13983 | 10 | 1.593 | 8777.8 |
| 1091 | 2025-06-30 10:20:36 | hype | 1 | 13983 | 10 | 0.640 | 21848.4 |
| 1090 | 2025-06-28 02:52:19 | hype | 1 | 13983 | 10 | 1.360 | 10281.6 |
| 1089 | 2025-06-27 00:38:13 | hype | 1 | 13983 | 10 | 0.283 | 49409.9 |
| 1088 | 2025-06-26 07:21:14 | hype | 1 | 13983 | 10 | 0.733 | 19076.4 |
| 1087 | 2025-06-20 05:14:38 | hype | 1 | 13983 | 10 | 0.643 | 21746.5 |
| 1086 | 2025-06-17 13:06:39 | hype | 1 | 13983 | 10 | 0.203 | 68881.8 |
| 1085 | 2025-06-17 00:33:11 | hype | 1 | 13983 | 10 | 0.923 | 15149.5 |
| 1084 | 2025-06-16 19:44:44 | hype | 1 | 13983 | 10 | 1.360 | 10281.6 |
| 1083 | 2025-06-15 08:26:26 | hype | 2 | 29872 | 144 | 0.923 | 32364.0 |
| 1082 | 2025-06-14 18:42:33 | hype | 2 | 29872 | 144 | 6.410 | 4660.2 |
| 1081 | 2025-06-14 17:39:24 | hype | 1 | 13983 | 10 | 1.830 | 7641.0 |
| 1080 | 2025-06-14 00:40:06 | hype | 2 | 29872 | 144 | 4.390 | 6804.6 |
| 1079 | 2025-06-14 00:18:08 | hype | 2 | 29872 | 144 | 4.236 | 7051.9 |
| 1078 | 2025-06-12 16:58:03 | hype | 2 | 29872 | 144 | 1.326 | 22527.9 |
| 1077 | 2025-06-07 16:40:34 | hype | 1 | 13983 | 10 | 0.216 | 64736.1 |
| 1076 | 2025-06-04 03:54:37 | hype | 2 | 29872 | 144 | 5.610 | 5324.8 |
| 1075 | 2025-06-02 15:29:27 | hype | 2 | 29872 | 144 | 5.500 | 5431.3 |
| 1074 | 2025-06-01 20:39:41 | hype | 1 | 13983 | 10 | 0.266 | 52567.7 |
| 1073 | 2025-06-01 02:21:57 | hype | 1 | 13983 | 10 | 0.263 | 53167.3 |
| 1072 | 2025-05-30 01:13:42 | hype | 2 | 29872 | 144 | 0.890 | 33564.0 |
| 1071 | 2025-05-29 07:10:06 | hype | 1 | 13983 | 10 | 1.503 | 9303.4 |
| 1070 | 2025-05-28 12:49:28 | hype | 2 | 29872 | 144 | 1.626 | 18371.5 |
| 1069 | 2025-05-24 04:04:33 | hype | 1 | 13983 | 10 | 1.393 | 10038.0 |
| 1068 | 2025-05-22 18:43:46 | hype | 1 | 13983 | 10 | 0.283 | 49409.9 |
| 1067 | 2025-05-19 02:26:20 | hype | 2 | 29872 | 144 | 0.813 | 36742.9 |
| 1066 | 2025-05-18 10:13:41 | hype | 2 | 29872 | 144 | 2.140 | 13958.9 |
| 1065 | 2025-05-17 13:54:07 | hype | 1 | 13983 | 10 | 1.343 | 10411.8 |
| 1064 | 2025-05-11 00:11:03 | hype | 2 | 29872 | 144 | 3.563 | 8383.9 |
| 1063 | 2025-05-10 00:26:44 | hype | 2 | 29872 | 144 | 4.080 | 7321.6 |
| 1062 | 2025-05-09 13:09:30 | hype | 2 | 29872 | 144 | 0.763 | 39150.7 |
| 1061 | 2025-05-08 16:09:42 | hype | 1 | 13983 | 10 | 0.470 | 29751.1 |
| 1060 | 2025-05-08 14:02:13 | hype | 1 | 13983 | 10 | 0.923 | 15149.5 |
| 1059 | 2025-05-08 13:59:13 | hype | 1 | 13983 | 10 | 1.483 | 9428.9 |
| 1058 | 2025-05-08 13:53:43 | hype | 1 | 13983 | 10 | 2.063 | 6778.0 |
| 1057 | 2025-05-08 13:42:32 | hype | 1 | 13983 | 10 | 0.733 | 19076.4 |
| 1056 | 2025-05-08 02:10:43 | hype | 1 | 13983 | 10 | 0.953 | 14672.6 |
| 1055 | 2025-05-03 02:58:39 | hype | 2 | 29872 | 144 | 4.266 | 7002.3 |
| 1054 | 2025-05-02 07:49:21 | hype | 1 | 13983 | 10 | 2.030 | 6888.2 |
| 1053 | 2025-05-01 20:52:22 | hype | 1 | 13983 | 10 | 1.170 | 11951.3 |
| 1052 | 2025-04-30 16:12:42 | hype | 2 | 29872 | 144 | 2.563 | 11655.1 |
| 1051 | 2025-04-30 02:44:09 | hype | 1 | 13983 | 10 | 1.203 | 11623.4 |
| 1050 | 2025-04-29 08:34:08 | hype | 1 | 13983 | 10 | 0.406 | 34440.9 |
| 1049 | 2025-04-14 12:54:45 | hype | 1 | 13983 | 10 | 0.703 | 19890.5 |
| 1048 | 2025-04-13 01:51:27 | hype | 2 | 29872 | 144 | 1.720 | 17367.4 |
| 1047 | 2025-04-09 00:11:08 | hype | 2 | 29872 | 144 | 3.830 | 7799.5 |
| 1046 | 2025-04-08 00:55:38 | hype | 1 | 13983 | 10 | 0.423 | 33056.7 |
| 1045 | 2025-04-02 02:54:54 | hype | 2 | 29872 | 144 | 2.203 | 13559.7 |