History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"prow"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1123 | 2025-11-01 12:45:37 | prow | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1122 | 2025-10-29 20:38:08 | prow | 1 | 13983 | 20 | 0.500 | 27966.0 |
| 1121 | 2025-10-24 12:04:05 | prow | 1 | 13983 | 20 | 0.233 | 60012.9 |
| 1120 | 2025-10-22 12:19:49 | prow | 2 | 29872 | 186 | 2.720 | 10982.4 |
| 1119 | 2025-10-20 21:55:39 | prow | 1 | 13983 | 20 | 1.640 | 8526.2 |
| 1118 | 2025-10-17 16:06:09 | prow | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1117 | 2025-10-16 00:17:51 | prow | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1116 | 2025-10-08 14:27:25 | prow | 1 | 13983 | 20 | 0.233 | 60012.9 |
| 1115 | 2025-10-02 12:37:14 | prow | 1 | 13983 | 20 | 0.216 | 64736.1 |
| 1114 | 2025-10-01 13:10:44 | prow | 1 | 13983 | 20 | 0.233 | 60012.9 |
| 1113 | 2025-09-25 11:53:01 | prow | 2 | 29872 | 186 | 0.893 | 33451.3 |
| 1112 | 2025-09-25 09:54:20 | prow | 1 | 13983 | 20 | 0.703 | 19890.5 |
| 1111 | 2025-09-24 18:20:33 | prow | 1 | 13983 | 20 | 0.236 | 59250.0 |
| 1110 | 2025-09-23 02:50:06 | prow | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1109 | 2025-09-15 15:28:25 | prow | 1 | 13983 | 20 | 0.236 | 59250.0 |
| 1108 | 2025-09-14 02:15:27 | prow | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1107 | 2025-09-06 08:44:16 | prow | 1 | 13983 | 20 | 0.216 | 64736.1 |
| 1106 | 2025-09-03 07:09:01 | prow | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1105 | 2025-08-27 06:56:39 | prow | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1104 | 2025-08-24 14:32:50 | prow | 1 | 13983 | 20 | 1.300 | 10756.2 |
| 1103 | 2025-08-11 15:28:14 | prow | 1 | 13983 | 20 | 0.810 | 17263.0 |
| 1102 | 2025-08-04 16:56:35 | prow | 1 | 13983 | 20 | 0.563 | 24836.6 |
| 1101 | 2025-08-01 12:34:44 | prow | 1 | 13983 | 20 | 1.060 | 13191.5 |
| 1100 | 2025-07-31 15:59:52 | prow | 1 | 13983 | 20 | 1.173 | 11920.7 |
| 1099 | 2025-07-31 00:03:45 | prow | 1 | 13983 | 20 | 1.156 | 12096.0 |
| 1098 | 2025-07-26 16:18:15 | prow | 1 | 13983 | 20 | 1.626 | 8599.6 |
| 1097 | 2025-07-24 20:12:27 | prow | 1 | 13983 | 20 | 1.123 | 12451.5 |
| 1096 | 2025-07-23 21:52:38 | prow | 1 | 13983 | 20 | 0.643 | 21746.5 |
| 1095 | 2025-07-22 16:58:30 | prow | 1 | 13983 | 20 | 0.283 | 49409.9 |
| 1094 | 2025-07-21 14:56:57 | prow | 1 | 13983 | 20 | 0.233 | 60012.9 |
| 1093 | 2025-07-20 01:33:49 | prow | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1092 | 2025-07-12 02:56:34 | prow | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1091 | 2025-07-10 16:33:20 | prow | 1 | 13983 | 20 | 0.610 | 22923.0 |
| 1090 | 2025-07-04 16:12:17 | prow | 1 | 13983 | 20 | 1.000 | 13983.0 |
| 1089 | 2025-07-04 02:52:30 | prow | 2 | 29872 | 186 | 2.160 | 13829.6 |
| 1088 | 2025-07-02 18:50:58 | prow | 2 | 29872 | 186 | 6.280 | 4756.7 |
| 1087 | 2025-06-30 12:47:18 | prow | 2 | 29872 | 186 | 4.266 | 7002.3 |
| 1086 | 2025-06-28 11:21:31 | prow | 1 | 13983 | 20 | 0.280 | 49939.3 |
| 1085 | 2025-06-26 12:05:16 | prow | 1 | 13983 | 20 | 0.953 | 14672.6 |
| 1084 | 2025-06-17 04:27:12 | prow | 1 | 13983 | 20 | 0.686 | 20383.4 |
| 1083 | 2025-06-11 21:54:21 | prow | 1 | 13983 | 20 | 0.686 | 20383.4 |
| 1082 | 2025-06-10 13:27:44 | prow | 1 | 13983 | 20 | 1.373 | 10184.3 |
| 1081 | 2025-06-06 22:07:07 | prow | 1 | 13983 | 20 | 1.126 | 12418.3 |
| 1080 | 2025-06-04 11:44:09 | prow | 1 | 13983 | 20 | 1.860 | 7517.7 |
| 1079 | 2025-06-02 15:44:00 | prow | 1 | 13983 | 20 | 0.486 | 28771.6 |
| 1078 | 2025-06-01 12:18:21 | prow | 1 | 13983 | 20 | 0.906 | 15433.8 |
| 1077 | 2025-05-31 19:58:16 | prow | 1 | 13983 | 20 | 0.966 | 14475.2 |
| 1076 | 2025-05-29 13:54:38 | prow | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1075 | 2025-05-26 17:18:04 | prow | 2 | 29872 | 186 | 4.500 | 6638.2 |
| 1074 | 2025-05-17 20:17:08 | prow | 1 | 13983 | 20 | 0.890 | 15711.2 |
| 1073 | 2025-05-17 00:16:00 | prow | 1 | 13983 | 20 | 1.796 | 7785.6 |
| 1072 | 2025-05-16 15:18:11 | prow | 1 | 13983 | 20 | 1.750 | 7990.3 |
| 1071 | 2025-05-15 21:36:30 | prow | 1 | 13983 | 20 | 0.203 | 68881.8 |
| 1070 | 2025-05-15 13:16:10 | prow | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1069 | 2025-05-14 08:13:55 | prow | 1 | 13983 | 20 | 1.390 | 10059.7 |
| 1068 | 2025-05-12 06:19:50 | prow | 1 | 13983 | 20 | 2.046 | 6834.3 |
| 1067 | 2025-05-11 15:01:48 | prow | 1 | 13983 | 20 | 0.500 | 27966.0 |
| 1066 | 2025-05-09 13:37:15 | prow | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1065 | 2025-05-07 21:48:05 | prow | 1 | 13983 | 20 | 0.953 | 14672.6 |
| 1064 | 2025-05-07 00:48:08 | prow | 2 | 29872 | 186 | 6.890 | 4335.6 |
| 1063 | 2025-05-02 15:49:33 | prow | 1 | 13983 | 20 | 1.420 | 9847.2 |
| 1062 | 2025-05-02 05:14:50 | prow | 1 | 13983 | 20 | 1.236 | 11313.1 |
| 1061 | 2025-04-28 13:51:49 | prow | 1 | 13983 | 20 | 1.686 | 8293.6 |
| 1060 | 2025-04-28 11:14:19 | prow | 1 | 13983 | 20 | 1.156 | 12096.0 |
| 1059 | 2025-04-14 15:20:36 | prow | 1 | 13983 | 20 | 0.653 | 21413.5 |
| 1058 | 2025-04-12 07:10:30 | prow | 1 | 13983 | 20 | 0.673 | 20777.1 |
| 1057 | 2025-04-11 23:13:29 | prow | 1 | 13983 | 20 | 1.063 | 13154.3 |
| 1056 | 2025-04-09 06:57:18 | prow | 2 | 29872 | 186 | 6.013 | 4967.9 |
| 1055 | 2025-04-08 12:42:23 | prow | 1 | 13983 | 20 | 0.233 | 60012.9 |
| 1054 | 2025-03-22 15:21:30 | prow | 1 | 13983 | 20 | 0.796 | 17566.6 |
| 1053 | 2025-03-17 16:25:45 | prow | 1 | 13983 | 20 | 1.563 | 8946.3 |
| 1052 | 2025-03-14 20:42:19 | prow | 1 | 13983 | 20 | 1.453 | 9623.5 |
| 1051 | 2025-03-12 21:13:02 | prow | 1 | 13983 | 20 | 0.593 | 23580.1 |
| 1050 | 2025-03-08 19:45:50 | prow | 1 | 13983 | 20 | 3.203 | 4365.6 |
| 1049 | 2025-03-07 17:28:42 | prow | 2 | 29872 | 186 | 4.093 | 7298.3 |
| 1048 | 2025-03-06 20:53:57 | prow | 2 | 29872 | 186 | 6.406 | 4663.1 |
| 1047 | 2025-03-06 16:51:21 | prow | 2 | 29872 | 186 | 4.233 | 7056.9 |
| 1046 | 2025-03-03 12:11:09 | prow | 1 | 13983 | 20 | 0.953 | 14672.6 |
| 1045 | 2025-03-03 08:34:57 | prow | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1044 | 2025-02-28 01:13:26 | prow | 2 | 29872 | 186 | 4.733 | 6311.4 |
| 1043 | 2025-02-28 00:11:56 | prow | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1042 | 2025-02-24 12:37:05 | prow | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1041 | 2025-02-23 16:53:58 | prow | 1 | 13983 | 20 | 2.000 | 6991.5 |
| 1040 | 2025-02-19 02:47:13 | prow | 1 | 13983 | 20 | 0.953 | 14672.6 |
| 1039 | 2025-02-06 18:36:31 | prow | 1 | 13983 | 20 | 0.266 | 52567.7 |
| 1038 | 2025-02-04 22:29:30 | prow | 1 | 13983 | 20 | 0.516 | 27098.8 |
| 1037 | 2025-02-04 12:03:41 | prow | 2 | 29872 | 186 | 2.656 | 11247.0 |
| 1036 | 2025-01-28 17:56:14 | prow | 2 | 29872 | 186 | 2.486 | 12016.1 |
| 1035 | 2025-01-28 10:24:33 | prow | 2 | 29872 | 186 | 0.830 | 35990.4 |
| 1034 | 2025-01-28 10:24:15 | prow | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1033 | 2025-01-25 07:49:00 | prow | 1 | 13983 | 20 | 1.513 | 9241.9 |
| 1032 | 2025-01-24 17:16:23 | prow | 2 | 29872 | 186 | 6.283 | 4754.4 |
| 1031 | 2025-01-24 10:15:30 | prow | 1 | 13983 | 20 | 1.110 | 12597.3 |
| 1030 | 2025-01-05 20:34:49 | prow | 1 | 13983 | 20 | 0.233 | 60012.9 |
| 1029 | 2025-01-05 07:52:37 | prow | 2 | 29872 | 186 | 4.516 | 6614.7 |
| 1028 | 2024-12-29 09:23:48 | prow | 2 | 29872 | 186 | 4.000 | 7468.0 |
| 1027 | 2024-12-29 07:50:59 | prow | 1 | 13983 | 20 | 0.233 | 60012.9 |
| 1026 | 2024-12-28 05:06:53 | prow | 1 | 13983 | 20 | 1.390 | 10059.7 |
| 1025 | 2024-12-26 07:36:20 | prow | 1 | 13983 | 20 | 0.470 | 29751.1 |
| 1024 | 2024-12-25 01:23:43 | prow | 1 | 13983 | 20 | 1.326 | 10545.2 |