History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cower"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1113 | 2025-09-03 13:32:58 | cower | 1 | 28756 | 21 | 0.530 | 54256.6 |
1112 | 2025-08-17 04:53:17 | cower | 1 | 28756 | 21 | 0.966 | 29768.1 |
1111 | 2025-08-10 13:25:33 | cower | 1 | 28756 | 21 | 2.703 | 10638.5 |
1110 | 2025-08-10 05:45:21 | cower | 2 | 53800 | 288 | 3.860 | 13937.8 |
1109 | 2025-08-07 12:58:36 | cower | 2 | 53800 | 288 | 3.346 | 16078.9 |
1108 | 2025-08-04 19:15:03 | cower | 2 | 53800 | 288 | 3.780 | 14232.8 |
1107 | 2025-08-02 00:57:11 | cower | 1 | 28756 | 21 | 1.156 | 24875.4 |
1106 | 2025-08-01 17:37:51 | cower | 2 | 53800 | 288 | 10.110 | 5321.5 |
1105 | 2025-08-01 12:46:06 | cower | 1 | 28756 | 21 | 0.970 | 29645.4 |
1104 | 2025-08-01 00:47:35 | cower | 1 | 28756 | 21 | 1.186 | 24246.2 |
1103 | 2025-07-31 17:28:50 | cower | 1 | 28756 | 21 | 0.453 | 63479.0 |
1102 | 2025-07-31 12:08:04 | cower | 1 | 28756 | 21 | 0.703 | 40904.7 |
1101 | 2025-07-22 18:33:33 | cower | 1 | 28756 | 21 | 0.846 | 33990.5 |
1100 | 2025-07-22 07:21:32 | cower | 1 | 28756 | 21 | 2.326 | 12362.9 |
1099 | 2025-07-17 17:56:34 | cower | 1 | 28756 | 21 | 1.000 | 28756.0 |
1098 | 2025-07-17 08:29:55 | cower | 1 | 28756 | 21 | 1.250 | 23004.8 |
1097 | 2025-07-13 18:26:17 | cower | 1 | 28756 | 21 | 0.516 | 55728.7 |
1096 | 2025-07-10 22:08:16 | cower | 1 | 28756 | 21 | 3.750 | 7668.3 |
1095 | 2025-07-07 08:06:24 | cower | 1 | 28756 | 21 | 2.593 | 11089.9 |
1094 | 2025-06-28 12:32:05 | cower | 1 | 28756 | 21 | 2.673 | 10757.9 |
1093 | 2025-06-25 04:44:45 | cower | 2 | 53800 | 288 | 8.140 | 6609.3 |
1092 | 2025-06-24 09:49:39 | cower | 2 | 53800 | 288 | 8.376 | 6423.1 |
1091 | 2025-06-22 02:35:49 | cower | 2 | 53800 | 288 | 11.686 | 4603.8 |
1090 | 2025-06-16 05:42:17 | cower | 1 | 28756 | 21 | 2.580 | 11145.7 |
1089 | 2025-06-12 02:33:46 | cower | 1 | 28756 | 21 | 3.500 | 8216.0 |
1088 | 2025-06-11 00:37:16 | cower | 1 | 28756 | 21 | 2.576 | 11163.0 |
1087 | 2025-06-09 00:24:48 | cower | 1 | 28756 | 21 | 0.500 | 57512.0 |
1086 | 2025-06-03 18:43:27 | cower | 2 | 53800 | 288 | 1.530 | 35163.4 |
1085 | 2025-06-01 13:18:19 | cower | 2 | 53800 | 288 | 2.653 | 20278.9 |
1084 | 2025-06-01 04:09:31 | cower | 2 | 53800 | 288 | 4.423 | 12163.7 |
1083 | 2025-05-31 22:01:38 | cower | 2 | 53800 | 288 | 8.296 | 6485.1 |
1082 | 2025-05-30 10:48:22 | cower | 2 | 53800 | 288 | 4.360 | 12339.4 |
1081 | 2025-05-29 15:34:33 | cower | 1 | 28756 | 21 | 2.546 | 11294.6 |
1080 | 2025-05-29 12:04:49 | cower | 1 | 28756 | 21 | 3.186 | 9025.7 |
1079 | 2025-05-28 00:21:21 | cower | 1 | 28756 | 21 | 0.500 | 57512.0 |
1078 | 2025-05-17 12:33:37 | cower | 1 | 28756 | 21 | 1.343 | 21411.8 |
1077 | 2025-05-17 08:23:17 | cower | 1 | 28756 | 21 | 0.500 | 57512.0 |
1076 | 2025-05-13 19:13:39 | cower | 1 | 28756 | 21 | 0.563 | 51076.4 |
1075 | 2025-05-13 09:00:38 | cower | 1 | 28756 | 21 | 0.436 | 65954.1 |
1074 | 2025-05-10 17:07:50 | cower | 1 | 28756 | 21 | 3.470 | 8287.0 |
1073 | 2025-05-06 05:42:01 | cower | 1 | 28756 | 21 | 0.983 | 29253.3 |
1072 | 2025-05-03 04:20:28 | cower | 1 | 28756 | 21 | 2.360 | 12184.7 |
1071 | 2025-05-02 21:42:13 | cower | 1 | 28756 | 21 | 2.500 | 11502.4 |
1070 | 2025-04-30 12:29:16 | cower | 1 | 28756 | 21 | 3.673 | 7829.0 |
1069 | 2025-04-28 12:13:18 | cower | 1 | 28756 | 21 | 1.516 | 18968.3 |
1068 | 2025-04-18 23:38:17 | cower | 1 | 28756 | 21 | 3.763 | 7641.8 |
1067 | 2025-04-13 19:25:29 | cower | 1 | 28756 | 21 | 0.533 | 53951.2 |
1066 | 2025-04-04 17:44:51 | cower | 1 | 28756 | 21 | 3.796 | 7575.3 |
1065 | 2025-04-02 21:14:03 | cower | 1 | 28756 | 21 | 2.640 | 10892.4 |
1064 | 2025-03-29 14:30:31 | cower | 1 | 28756 | 21 | 2.326 | 12362.9 |
1063 | 2025-03-15 01:10:42 | cower | 1 | 28756 | 21 | 2.456 | 11708.5 |
1062 | 2025-03-14 23:36:27 | cower | 1 | 28756 | 21 | 2.436 | 11804.6 |
1061 | 2025-03-14 15:19:37 | cower | 2 | 53800 | 288 | 1.376 | 39098.8 |
1060 | 2025-03-09 11:29:52 | cower | 1 | 28756 | 21 | 2.203 | 13053.1 |
1059 | 2025-03-07 09:17:21 | cower | 1 | 28756 | 21 | 1.546 | 18600.3 |
1058 | 2025-03-03 00:41:56 | cower | 1 | 28756 | 21 | 2.076 | 13851.6 |
1057 | 2025-02-25 05:34:37 | cower | 1 | 28756 | 21 | 0.500 | 57512.0 |
1056 | 2025-02-25 04:50:13 | cower | 1 | 28756 | 21 | 1.313 | 21901.0 |
1055 | 2025-02-24 11:45:26 | cower | 2 | 53800 | 288 | 9.296 | 5787.4 |
1054 | 2025-02-24 04:21:40 | cower | 2 | 53800 | 288 | 7.720 | 6968.9 |
1053 | 2025-02-24 02:34:34 | cower | 2 | 53800 | 288 | 8.330 | 6458.6 |
1052 | 2025-02-24 02:34:34 | cower | 1 | 28756 | 21 | 1.516 | 18968.3 |
1051 | 2025-02-21 18:54:16 | cower | 1 | 28756 | 21 | 2.406 | 11951.8 |
1050 | 2025-02-17 12:47:50 | cower | 1 | 28756 | 21 | 2.390 | 12031.8 |
1049 | 2025-02-06 17:32:08 | cower | 1 | 28756 | 21 | 3.296 | 8724.5 |
1048 | 2025-02-05 23:59:21 | cower | 1 | 28756 | 21 | 1.313 | 21901.0 |
1047 | 2025-02-03 23:59:07 | cower | 1 | 28756 | 21 | 0.516 | 55728.7 |
1046 | 2025-01-26 00:29:36 | cower | 1 | 28756 | 21 | 0.453 | 63479.0 |
1045 | 2025-01-25 02:10:44 | cower | 1 | 28756 | 21 | 0.530 | 54256.6 |
1044 | 2025-01-25 01:26:35 | cower | 1 | 28756 | 21 | 0.516 | 55728.7 |
1043 | 2025-01-24 17:24:58 | cower | 1 | 28756 | 21 | 1.530 | 18794.8 |
1042 | 2025-01-20 05:16:33 | cower | 1 | 28756 | 21 | 1.390 | 20687.8 |
1041 | 2025-01-07 16:44:21 | cower | 2 | 53800 | 288 | 8.126 | 6620.7 |
1040 | 2025-01-07 16:44:07 | cower | 1 | 28756 | 21 | 1.643 | 17502.1 |
1039 | 2024-12-28 16:33:29 | cower | 2 | 53800 | 288 | 6.000 | 8966.7 |
1038 | 2024-12-28 12:32:03 | cower | 2 | 53800 | 288 | 2.623 | 20510.9 |
1037 | 2024-12-28 08:56:52 | cower | 2 | 53800 | 288 | 8.550 | 6292.4 |
1036 | 2024-12-28 00:20:39 | cower | 2 | 53800 | 288 | 4.313 | 12473.9 |
1035 | 2024-12-27 07:51:00 | cower | 1 | 28756 | 21 | 3.670 | 7835.4 |
1034 | 2024-12-26 23:59:23 | cower | 1 | 28756 | 21 | 0.500 | 57512.0 |
1033 | 2024-12-25 16:18:55 | cower | 1 | 28756 | 21 | 1.343 | 21411.8 |
1032 | 2024-12-25 10:05:46 | cower | 1 | 28756 | 21 | 0.533 | 53951.2 |
1031 | 2024-11-28 11:03:02 | cower | 2 | 53800 | 288 | 3.640 | 14780.2 |
1030 | 2024-11-28 04:47:35 | cower | 2 | 53800 | 288 | 8.436 | 6377.4 |
1029 | 2024-11-27 18:51:27 | cower | 2 | 53800 | 288 | 4.813 | 11178.1 |
1028 | 2024-11-27 10:17:11 | cower | 2 | 53800 | 288 | 4.550 | 11824.2 |
1027 | 2024-11-26 21:32:16 | cower | 1 | 28756 | 21 | 2.920 | 9847.9 |
1026 | 2024-11-25 10:43:27 | cower | 1 | 28756 | 21 | 0.950 | 30269.5 |
1025 | 2024-11-25 08:57:49 | cower | 1 | 28756 | 21 | 0.546 | 52666.7 |
1024 | 2024-11-15 02:33:46 | cower | 1 | 28756 | 21 | 2.690 | 10690.0 |
1023 | 2024-11-08 10:06:13 | cower | 1 | 28756 | 21 | 3.343 | 8601.9 |
1022 | 2024-10-29 09:23:14 | cower | 2 | 53800 | 288 | 7.910 | 6801.5 |
1021 | 2024-10-28 23:20:43 | cower | 2 | 53800 | 288 | 4.093 | 13144.4 |
1020 | 2024-10-28 13:20:59 | cower | 2 | 53800 | 288 | 4.936 | 10899.5 |
1019 | 2024-10-28 07:41:50 | cower | 2 | 53800 | 288 | 8.873 | 6063.3 |
1018 | 2024-10-27 21:09:15 | cower | 1 | 28756 | 21 | 0.500 | 57512.0 |
1017 | 2024-10-26 11:02:56 | cower | 1 | 28756 | 21 | 1.546 | 18600.3 |
1016 | 2024-10-26 07:40:21 | cower | 1 | 28756 | 21 | 0.860 | 33437.2 |
1015 | 2024-10-09 11:22:48 | cower | 1 | 28756 | 21 | 1.033 | 27837.4 |
1014 | 2024-09-28 16:20:27 | cower | 2 | 53800 | 288 | 12.873 | 4179.3 |