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 |
| 1135 | 2025-10-30 19:26:00 | cattle | 3 | 112716 | 731 | 5.343 | 21096.0 |
| 1134 | 2025-10-26 19:13:34 | cattle | 1 | 48755 | 9 | 0.813 | 59969.2 |
| 1133 | 2025-10-26 18:51:39 | cattle | 1 | 48755 | 9 | 0.953 | 51159.5 |
| 1132 | 2025-10-25 15:58:07 | cattle | 1 | 48755 | 9 | 0.843 | 57835.1 |
| 1131 | 2025-10-19 15:51:54 | cattle | 1 | 48755 | 9 | 2.670 | 18260.3 |
| 1130 | 2025-10-19 15:51:50 | cattle | 1 | 48755 | 9 | 2.063 | 23633.1 |
| 1129 | 2025-10-19 15:51:47 | cattle | 1 | 48755 | 9 | 4.310 | 11312.1 |
| 1128 | 2025-10-19 15:51:44 | cattle | 1 | 48755 | 9 | 4.200 | 11608.3 |
| 1127 | 2025-10-17 16:05:49 | cattle | 1 | 48755 | 9 | 0.873 | 55847.7 |
| 1126 | 2025-09-28 16:36:12 | cattle | 1 | 48755 | 9 | 0.813 | 59969.2 |
| 1125 | 2025-09-28 08:26:12 | cattle | 3 | 112716 | 731 | 5.953 | 18934.3 |
| 1124 | 2025-09-26 15:54:55 | cattle | 1 | 48755 | 9 | 0.923 | 52822.3 |
| 1123 | 2025-09-26 11:34:50 | cattle | 1 | 48755 | 9 | 0.876 | 55656.4 |
| 1122 | 2025-09-26 04:51:10 | cattle | 1 | 48755 | 9 | 0.906 | 53813.5 |
| 1121 | 2025-09-26 01:06:28 | cattle | 1 | 48755 | 9 | 2.360 | 20658.9 |
| 1120 | 2025-09-26 00:54:20 | cattle | 1 | 48755 | 9 | 4.156 | 11731.2 |
| 1119 | 2025-09-24 23:05:46 | cattle | 1 | 48755 | 9 | 6.610 | 7375.9 |
| 1118 | 2025-09-23 21:45:46 | cattle | 1 | 48755 | 9 | 0.810 | 60191.4 |
| 1117 | 2025-09-23 21:45:03 | cattle | 1 | 48755 | 9 | 0.920 | 52994.6 |
| 1116 | 2025-09-23 09:47:48 | cattle | 1 | 48755 | 9 | 0.796 | 61250.0 |
| 1115 | 2025-09-15 20:39:57 | cattle | 1 | 48755 | 9 | 0.956 | 50999.0 |
| 1114 | 2025-09-10 14:32:21 | cattle | 3 | 112716 | 731 | 4.920 | 22909.8 |
| 1113 | 2025-09-03 13:17:07 | cattle | 1 | 48755 | 9 | 0.783 | 62266.9 |
| 1112 | 2025-09-01 14:05:30 | cattle | 2 | 82551 | 76 | 2.530 | 32628.9 |
| 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 |