History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cattle"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1111 | 2025-08-27 18:51:43 | cattle | 3 | 112716 | 731 | 10.720 | 10514.6 |
1110 | 2025-08-27 12:08:40 | cattle | 2 | 82551 | 76 | 2.750 | 30018.5 |
1109 | 2025-08-24 23:18:01 | cattle | 1 | 48755 | 9 | 6.030 | 8085.4 |
1108 | 2025-08-23 14:56:11 | cattle | 1 | 48755 | 9 | 6.593 | 7395.0 |
1107 | 2025-08-18 15:33:11 | cattle | 1 | 48755 | 9 | 0.890 | 54780.9 |
1106 | 2025-08-13 09:32:54 | cattle | 1 | 48755 | 9 | 2.373 | 20545.7 |
1105 | 2025-08-12 07:21:08 | cattle | 1 | 48755 | 9 | 4.343 | 11226.1 |
1104 | 2025-08-10 13:45:52 | cattle | 1 | 48755 | 9 | 3.170 | 15380.1 |
1103 | 2025-08-07 17:07:02 | cattle | 1 | 48755 | 9 | 2.093 | 23294.3 |
1102 | 2025-08-05 15:24:55 | cattle | 1 | 48755 | 9 | 2.890 | 16870.2 |
1101 | 2025-08-03 02:05:38 | cattle | 2 | 82551 | 76 | 19.440 | 4246.5 |
1100 | 2025-08-01 18:20:00 | cattle | 2 | 82551 | 76 | 15.873 | 5200.7 |
1099 | 2025-08-01 10:29:21 | cattle | 1 | 48755 | 9 | 2.456 | 19851.4 |
1098 | 2025-08-01 01:34:06 | cattle | 1 | 48755 | 9 | 6.110 | 7979.5 |
1097 | 2025-07-30 12:05:25 | cattle | 2 | 82551 | 76 | 6.410 | 12878.5 |
1096 | 2025-07-28 11:52:02 | cattle | 3 | 112716 | 731 | 13.016 | 8659.8 |
1095 | 2025-07-28 01:57:32 | cattle | 3 | 112716 | 731 | 12.783 | 8817.6 |
1094 | 2025-07-26 23:24:23 | cattle | 3 | 112716 | 731 | 31.546 | 3573.1 |
1093 | 2025-07-24 12:55:38 | cattle | 3 | 112716 | 731 | 20.580 | 5477.0 |
1092 | 2025-07-24 01:08:41 | cattle | 1 | 48755 | 9 | 2.373 | 20545.7 |
1091 | 2025-07-23 13:56:38 | cattle | 1 | 48755 | 9 | 5.623 | 8670.6 |
1090 | 2025-07-23 07:16:11 | cattle | 1 | 48755 | 9 | 5.766 | 8455.6 |
1089 | 2025-07-22 19:50:10 | cattle | 1 | 48755 | 9 | 4.203 | 11600.0 |
1088 | 2025-07-20 07:18:14 | cattle | 3 | 112716 | 731 | 6.546 | 17219.1 |
1087 | 2025-07-14 14:25:11 | cattle | 2 | 82551 | 76 | 9.170 | 9002.3 |
1086 | 2025-07-14 08:58:57 | cattle | 3 | 112716 | 731 | 28.360 | 3974.5 |
1085 | 2025-07-13 05:54:05 | cattle | 1 | 48755 | 9 | 0.920 | 52994.6 |
1084 | 2025-07-12 19:29:30 | cattle | 2 | 82551 | 76 | 3.843 | 21480.9 |
1083 | 2025-07-12 15:33:46 | cattle | 3 | 112716 | 731 | 8.253 | 13657.6 |
1082 | 2025-07-11 02:36:17 | cattle | 3 | 112716 | 731 | 27.643 | 4077.6 |
1081 | 2025-07-10 16:04:29 | cattle | 2 | 82551 | 76 | 6.923 | 11924.2 |
1080 | 2025-07-09 22:56:57 | cattle | 3 | 112716 | 731 | 31.656 | 3560.7 |
1079 | 2025-07-09 12:16:17 | cattle | 1 | 48755 | 9 | 0.813 | 59969.2 |
1078 | 2025-07-08 15:48:11 | cattle | 1 | 48755 | 9 | 2.593 | 18802.5 |
1077 | 2025-07-07 13:54:40 | cattle | 1 | 48755 | 9 | 5.000 | 9751.0 |
1076 | 2025-07-02 16:28:09 | cattle | 1 | 48755 | 9 | 2.360 | 20658.9 |
1075 | 2025-06-16 16:49:51 | cattle | 1 | 48755 | 9 | 6.080 | 8018.9 |
1074 | 2025-06-14 20:36:06 | cattle | 1 | 48755 | 9 | 6.140 | 7940.6 |
1073 | 2025-06-12 05:40:44 | cattle | 1 | 48755 | 9 | 3.220 | 15141.3 |
1072 | 2025-06-08 12:18:53 | cattle | 1 | 48755 | 9 | 3.346 | 14571.1 |
1071 | 2025-06-01 00:15:50 | cattle | 1 | 48755 | 9 | 7.546 | 6461.0 |
1070 | 2025-05-28 00:46:43 | cattle | 1 | 48755 | 9 | 0.953 | 51159.5 |
1069 | 2025-05-24 18:57:52 | cattle | 1 | 48755 | 9 | 6.906 | 7059.8 |
1068 | 2025-05-20 15:18:16 | cattle | 1 | 48755 | 9 | 2.140 | 22782.7 |
1067 | 2025-05-16 17:37:39 | cattle | 1 | 48755 | 9 | 4.546 | 10724.8 |
1066 | 2025-05-12 05:36:07 | cattle | 1 | 48755 | 9 | 4.236 | 11509.7 |
1065 | 2025-05-08 12:37:37 | cattle | 1 | 48755 | 9 | 2.093 | 23294.3 |
1064 | 2025-05-08 09:56:30 | cattle | 1 | 48755 | 9 | 7.156 | 6813.2 |
1063 | 2025-05-02 15:41:12 | cattle | 1 | 48755 | 9 | 5.283 | 9228.7 |
1062 | 2025-05-01 11:08:16 | cattle | 1 | 48755 | 9 | 4.330 | 11259.8 |
1061 | 2025-04-23 11:46:27 | cattle | 1 | 48755 | 9 | 3.110 | 15676.8 |
1060 | 2025-04-20 22:12:04 | cattle | 3 | 112716 | 731 | 63.583 | 1772.7 |
1059 | 2025-04-19 23:09:59 | cattle | 1 | 48755 | 9 | 4.033 | 12089.0 |
1058 | 2025-04-16 05:48:20 | cattle | 2 | 82551 | 76 | 8.626 | 9570.0 |
1057 | 2025-04-15 15:22:31 | cattle | 1 | 48755 | 9 | 4.296 | 11348.9 |
1056 | 2025-04-11 18:17:49 | cattle | 1 | 48755 | 9 | 4.606 | 10585.1 |
1055 | 2025-04-11 07:43:17 | cattle | 1 | 48755 | 9 | 4.203 | 11600.0 |
1054 | 2025-04-09 07:38:07 | cattle | 3 | 112716 | 731 | 31.003 | 3635.6 |
1053 | 2025-04-09 00:38:03 | cattle | 3 | 112716 | 731 | 23.843 | 4727.4 |
1052 | 2025-04-08 11:34:45 | cattle | 1 | 48755 | 9 | 2.876 | 16952.4 |
1051 | 2025-04-07 21:42:48 | cattle | 3 | 112716 | 731 | 6.356 | 17733.8 |
1050 | 2025-04-05 06:08:42 | cattle | 1 | 48755 | 9 | 1.876 | 25988.8 |
1049 | 2025-04-01 11:15:15 | cattle | 1 | 48755 | 9 | 0.750 | 65006.7 |
1048 | 2025-03-29 17:09:59 | cattle | 1 | 48755 | 9 | 2.673 | 18239.8 |
1047 | 2025-03-20 23:15:40 | cattle | 2 | 82551 | 76 | 12.626 | 6538.2 |
1046 | 2025-03-20 22:14:54 | cattle | 3 | 112716 | 731 | 29.020 | 3884.1 |
1045 | 2025-03-19 00:26:31 | cattle | 1 | 48755 | 9 | 0.783 | 62266.9 |
1044 | 2025-03-16 07:49:57 | cattle | 1 | 48755 | 9 | 2.170 | 22467.7 |
1043 | 2025-03-09 13:56:59 | cattle | 1 | 48755 | 9 | 5.780 | 8435.1 |
1042 | 2025-03-07 21:59:37 | cattle | 1 | 48755 | 9 | 6.000 | 8125.8 |
1041 | 2025-03-05 01:14:31 | cattle | 3 | 112716 | 731 | 27.330 | 4124.3 |
1040 | 2025-03-04 10:18:46 | cattle | 3 | 112716 | 731 | 14.753 | 7640.2 |
1039 | 2025-03-02 02:13:07 | cattle | 2 | 82551 | 76 | 9.453 | 8732.8 |
1038 | 2025-03-01 18:47:35 | cattle | 3 | 112716 | 731 | 37.563 | 3000.7 |
1037 | 2025-02-28 18:59:44 | cattle | 1 | 48755 | 9 | 4.250 | 11471.8 |
1036 | 2025-02-28 17:21:32 | cattle | 3 | 112716 | 731 | 15.813 | 7128.1 |
1035 | 2025-02-27 20:04:40 | cattle | 2 | 82551 | 76 | 19.220 | 4295.1 |
1034 | 2025-02-27 20:00:01 | cattle | 2 | 82551 | 76 | 5.610 | 14715.0 |
1033 | 2025-02-26 07:49:05 | cattle | 1 | 48755 | 9 | 3.470 | 14050.4 |
1032 | 2025-02-26 07:47:29 | cattle | 3 | 112716 | 731 | 52.970 | 2127.9 |
1031 | 2025-02-26 07:47:28 | cattle | 2 | 82551 | 76 | 30.626 | 2695.5 |
1030 | 2025-02-10 13:17:39 | cattle | 1 | 48755 | 9 | 3.580 | 13618.7 |
1029 | 2025-02-06 12:36:36 | cattle | 3 | 112716 | 731 | 14.203 | 7936.1 |
1028 | 2025-02-06 12:15:17 | cattle | 1 | 48755 | 9 | 0.780 | 62506.4 |
1027 | 2025-02-04 22:34:44 | cattle | 2 | 82551 | 76 | 10.673 | 7734.6 |
1026 | 2025-02-04 00:04:16 | cattle | 2 | 82551 | 76 | 18.220 | 4530.8 |
1025 | 2025-02-04 00:04:14 | cattle | 1 | 48755 | 9 | 2.186 | 22303.3 |
1024 | 2025-01-28 15:12:44 | cattle | 2 | 82551 | 76 | 9.596 | 8602.6 |
1023 | 2025-01-28 14:47:44 | cattle | 3 | 112716 | 731 | 26.156 | 4309.4 |
1022 | 2025-01-28 14:23:45 | cattle | 3 | 112716 | 731 | 21.270 | 5299.3 |
1021 | 2025-01-28 12:31:48 | cattle | 3 | 112716 | 731 | 12.343 | 9132.0 |
1020 | 2025-01-28 12:31:49 | cattle | 2 | 82551 | 76 | 5.843 | 14128.2 |
1019 | 2025-01-28 12:31:41 | cattle | 1 | 48755 | 9 | 1.500 | 32503.3 |
1018 | 2025-01-06 21:14:32 | cattle | 1 | 48755 | 9 | 4.296 | 11348.9 |
1017 | 2025-01-05 17:34:13 | cattle | 1 | 48755 | 9 | 4.423 | 11023.1 |
1016 | 2025-01-03 22:30:42 | cattle | 2 | 82551 | 76 | 12.283 | 6720.8 |
1015 | 2025-01-03 22:30:35 | cattle | 1 | 48755 | 9 | 4.080 | 11949.8 |
1014 | 2024-12-29 10:23:59 | cattle | 3 | 112716 | 731 | 18.830 | 5986.0 |
1013 | 2024-12-10 19:10:47 | cattle | 1 | 48755 | 9 | 2.406 | 20263.9 |
1012 | 2024-12-09 14:03:28 | cattle | 3 | 112716 | 731 | 28.033 | 4020.8 |