History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"outlearned"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1134 | 2025-08-26 15:06:47 | outlearned | 4 | 161450 | 232 | 11.626 | 13887.0 |
1133 | 2025-08-19 00:23:14 | outlearned | 1 | 67641 | 2 | 2.530 | 26735.6 |
1132 | 2025-08-16 06:20:50 | outlearned | 4 | 161450 | 232 | 12.046 | 13402.8 |
1131 | 2025-08-14 06:05:38 | outlearned | 4 | 161450 | 232 | 10.140 | 15922.1 |
1130 | 2025-08-12 22:26:07 | outlearned | 4 | 161450 | 232 | 48.536 | 3326.4 |
1129 | 2025-08-09 16:54:32 | outlearned | 1 | 67641 | 2 | 1.110 | 60937.8 |
1128 | 2025-07-24 03:03:02 | outlearned | 1 | 67641 | 2 | 7.780 | 8694.2 |
1127 | 2025-07-23 17:14:35 | outlearned | 1 | 67641 | 2 | 4.923 | 13739.8 |
1126 | 2025-07-23 07:52:38 | outlearned | 1 | 67641 | 2 | 4.920 | 13748.2 |
1125 | 2025-07-13 22:49:06 | outlearned | 1 | 67641 | 2 | 2.860 | 23650.7 |
1124 | 2025-06-28 13:06:29 | outlearned | 2 | 108824 | 8 | 8.466 | 12854.2 |
1123 | 2025-06-26 12:43:50 | outlearned | 3 | 140603 | 48 | 20.126 | 6986.1 |
1122 | 2025-06-26 08:08:14 | outlearned | 1 | 67641 | 2 | 5.300 | 12762.5 |
1121 | 2025-06-24 04:30:12 | outlearned | 3 | 140603 | 48 | 29.143 | 4824.6 |
1120 | 2025-06-24 03:44:41 | outlearned | 2 | 108824 | 8 | 15.283 | 7120.6 |
1119 | 2025-06-22 23:57:36 | outlearned | 1 | 67641 | 2 | 1.200 | 56367.5 |
1118 | 2025-06-22 01:05:21 | outlearned | 1 | 67641 | 2 | 5.250 | 12884.0 |
1117 | 2025-06-18 07:39:27 | outlearned | 1 | 67641 | 2 | 2.983 | 22675.5 |
1116 | 2025-06-12 07:11:06 | outlearned | 4 | 161450 | 232 | 61.206 | 2637.8 |
1115 | 2025-06-11 01:14:56 | outlearned | 4 | 161450 | 232 | 71.160 | 2268.8 |
1114 | 2025-06-10 17:03:22 | outlearned | 4 | 161450 | 232 | 50.673 | 3186.1 |
1113 | 2025-06-07 23:12:20 | outlearned | 4 | 161450 | 232 | 52.550 | 3072.3 |
1112 | 2025-05-29 15:17:58 | outlearned | 4 | 161450 | 232 | 54.126 | 2982.9 |
1111 | 2025-05-26 20:11:47 | outlearned | 4 | 161450 | 232 | 42.000 | 3844.0 |
1110 | 2025-05-21 16:25:07 | outlearned | 4 | 161450 | 232 | 13.110 | 12315.0 |
1109 | 2025-05-19 22:13:34 | outlearned | 1 | 67641 | 2 | 8.216 | 8232.8 |
1108 | 2025-05-06 15:57:55 | outlearned | 1 | 67641 | 2 | 2.860 | 23650.7 |
1107 | 2025-05-01 01:57:34 | outlearned | 4 | 161450 | 232 | 55.473 | 2910.4 |
1106 | 2025-04-29 23:22:02 | outlearned | 4 | 161450 | 232 | 40.813 | 3955.8 |
1105 | 2025-04-29 23:15:52 | outlearned | 4 | 161450 | 232 | 43.020 | 3752.9 |
1104 | 2025-04-28 09:08:04 | outlearned | 4 | 161450 | 232 | 54.300 | 2973.3 |
1103 | 2025-04-25 00:36:22 | outlearned | 4 | 161450 | 232 | 22.983 | 7024.8 |
1102 | 2025-04-21 07:31:19 | outlearned | 2 | 108824 | 8 | 13.656 | 7969.0 |
1101 | 2025-04-21 06:52:05 | outlearned | 4 | 161450 | 232 | 65.636 | 2459.8 |
1100 | 2025-04-20 07:01:25 | outlearned | 1 | 67641 | 2 | 1.063 | 63632.2 |
1099 | 2025-04-17 21:39:01 | outlearned | 1 | 67641 | 2 | 5.596 | 12087.4 |
1098 | 2025-04-05 09:46:28 | outlearned | 3 | 140603 | 48 | 6.640 | 21175.2 |
1097 | 2025-03-24 14:37:09 | outlearned | 3 | 140603 | 48 | 12.593 | 11165.2 |
1096 | 2025-03-24 03:20:51 | outlearned | 2 | 108824 | 8 | 10.436 | 10427.8 |
1095 | 2025-03-22 08:14:35 | outlearned | 1 | 67641 | 2 | 1.156 | 58513.0 |
1094 | 2025-03-22 00:44:59 | outlearned | 3 | 140603 | 48 | 35.050 | 4011.5 |
1093 | 2025-03-20 09:31:07 | outlearned | 1 | 67641 | 2 | 2.546 | 26567.6 |
1092 | 2025-03-18 01:07:50 | outlearned | 1 | 67641 | 2 | 6.173 | 10957.6 |
1091 | 2025-03-17 23:40:11 | outlearned | 3 | 140603 | 48 | 31.190 | 4508.0 |
1090 | 2025-03-17 19:32:42 | outlearned | 3 | 140603 | 48 | 35.783 | 3929.3 |
1089 | 2025-03-11 17:02:08 | outlearned | 1 | 67641 | 2 | 5.330 | 12690.6 |
1088 | 2025-03-04 07:23:52 | outlearned | 3 | 140603 | 48 | 45.863 | 3065.7 |
1087 | 2025-03-04 00:40:16 | outlearned | 3 | 140603 | 48 | 29.313 | 4796.6 |
1086 | 2025-03-02 07:29:09 | outlearned | 3 | 140603 | 48 | 46.956 | 2994.4 |
1085 | 2025-02-26 19:37:18 | outlearned | 2 | 108824 | 8 | 9.046 | 12030.1 |
1084 | 2025-02-26 19:29:14 | outlearned | 1 | 67641 | 2 | 3.143 | 21521.2 |
1083 | 2025-02-26 01:00:59 | outlearned | 3 | 140603 | 48 | 33.096 | 4248.3 |
1082 | 2025-02-25 14:03:16 | outlearned | 3 | 140603 | 48 | 6.063 | 23190.3 |
1081 | 2025-02-09 14:42:31 | outlearned | 1 | 67641 | 2 | 5.173 | 13075.8 |
1080 | 2025-02-01 03:39:55 | outlearned | 2 | 108824 | 8 | 22.080 | 4928.6 |
1079 | 2025-02-01 02:26:46 | outlearned | 1 | 67641 | 2 | 3.156 | 21432.5 |
1078 | 2025-01-31 17:26:23 | outlearned | 3 | 140603 | 48 | 32.190 | 4367.9 |
1077 | 2025-01-31 17:26:24 | outlearned | 2 | 108824 | 8 | 15.423 | 7056.0 |
1076 | 2025-01-31 17:21:02 | outlearned | 1 | 67641 | 2 | 4.673 | 14474.9 |
1075 | 2025-01-25 16:14:23 | outlearned | 1 | 67641 | 2 | 1.046 | 64666.3 |
1074 | 2025-01-14 00:12:43 | outlearned | 4 | 161450 | 232 | 52.663 | 3065.7 |
1073 | 2025-01-13 13:37:46 | outlearned | 4 | 161450 | 232 | 56.110 | 2877.4 |
1072 | 2025-01-13 10:13:37 | outlearned | 4 | 161450 | 232 | 49.750 | 3245.2 |
1071 | 2025-01-09 16:22:30 | outlearned | 1 | 67641 | 2 | 2.843 | 23792.1 |
1070 | 2024-12-31 21:11:31 | outlearned | 2 | 108824 | 8 | 15.250 | 7136.0 |
1069 | 2024-12-31 21:09:15 | outlearned | 1 | 67641 | 2 | 4.483 | 15088.3 |
1068 | 2024-12-29 21:11:44 | outlearned | 4 | 161450 | 232 | 60.566 | 2665.7 |
1067 | 2024-12-28 05:08:38 | outlearned | 4 | 161450 | 232 | 54.580 | 2958.0 |
1066 | 2024-12-26 07:08:50 | outlearned | 1 | 67641 | 2 | 1.063 | 63632.2 |
1065 | 2024-12-24 05:09:20 | outlearned | 1 | 67641 | 2 | 3.970 | 17038.0 |
1064 | 2024-12-20 00:51:09 | outlearned | 4 | 161450 | 232 | 46.750 | 3453.5 |
1063 | 2024-12-19 07:23:29 | outlearned | 4 | 161450 | 232 | 70.910 | 2276.8 |
1062 | 2024-12-19 00:48:37 | outlearned | 4 | 161450 | 232 | 48.440 | 3333.0 |
1061 | 2024-12-18 00:19:43 | outlearned | 4 | 161450 | 232 | 44.550 | 3624.0 |
1060 | 2024-12-17 00:54:52 | outlearned | 4 | 161450 | 232 | 38.220 | 4224.2 |
1059 | 2024-12-16 06:57:16 | outlearned | 4 | 161450 | 232 | 52.910 | 3051.4 |
1058 | 2024-12-16 00:50:12 | outlearned | 4 | 161450 | 232 | 52.300 | 3087.0 |
1057 | 2024-12-15 06:35:25 | outlearned | 4 | 161450 | 232 | 38.423 | 4201.9 |
1056 | 2024-12-14 23:50:58 | outlearned | 4 | 161450 | 232 | 60.253 | 2679.5 |
1055 | 2024-12-14 00:18:24 | outlearned | 4 | 161450 | 232 | 48.893 | 3302.1 |
1054 | 2024-12-13 08:18:51 | outlearned | 4 | 161450 | 232 | 64.176 | 2515.7 |
1053 | 2024-12-13 00:43:40 | outlearned | 4 | 161450 | 232 | 57.160 | 2824.5 |
1052 | 2024-12-12 13:05:51 | outlearned | 4 | 161450 | 232 | 66.990 | 2410.1 |
1051 | 2024-12-12 08:59:46 | outlearned | 4 | 161450 | 232 | 57.266 | 2819.3 |
1050 | 2024-12-12 08:32:22 | outlearned | 4 | 161450 | 232 | 50.096 | 3222.8 |
1049 | 2024-12-12 00:22:26 | outlearned | 4 | 161450 | 232 | 35.533 | 4543.7 |
1048 | 2024-12-11 08:14:46 | outlearned | 4 | 161450 | 232 | 68.036 | 2373.0 |
1047 | 2024-12-10 23:55:20 | outlearned | 3 | 140603 | 48 | 9.080 | 15484.9 |
1046 | 2024-12-10 20:38:22 | outlearned | 3 | 140603 | 48 | 30.830 | 4560.6 |
1045 | 2024-12-10 15:04:39 | outlearned | 4 | 161450 | 232 | 63.240 | 2553.0 |
1044 | 2024-12-10 11:01:49 | outlearned | 4 | 161450 | 232 | 38.486 | 4195.0 |
1043 | 2024-12-10 08:08:12 | outlearned | 4 | 161450 | 232 | 72.550 | 2225.4 |
1042 | 2024-12-10 07:55:14 | outlearned | 4 | 161450 | 232 | 52.000 | 3104.8 |
1041 | 2024-12-09 11:26:35 | outlearned | 4 | 161450 | 232 | 55.130 | 2928.5 |
1040 | 2024-12-09 08:37:40 | outlearned | 4 | 161450 | 232 | 48.723 | 3313.6 |
1039 | 2024-12-08 12:38:03 | outlearned | 4 | 161450 | 232 | 50.016 | 3228.0 |
1038 | 2024-12-08 08:05:58 | outlearned | 4 | 161450 | 232 | 72.833 | 2216.7 |
1037 | 2024-12-07 08:19:43 | outlearned | 4 | 161450 | 232 | 11.673 | 13831.1 |
1036 | 2024-12-07 08:17:54 | outlearned | 3 | 140603 | 48 | 24.173 | 5816.5 |
1035 | 2024-12-06 08:48:53 | outlearned | 3 | 140603 | 48 | 48.063 | 2925.4 |