History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"shapes"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1111 | 2025-08-28 10:18:31 | shapes | 1 | 48755 | 15 | 0.910 | 53576.9 |
1110 | 2025-08-24 19:32:21 | shapes | 2 | 82551 | 195 | 10.940 | 7545.8 |
1109 | 2025-08-24 06:10:09 | shapes | 1 | 48755 | 15 | 0.780 | 62506.4 |
1108 | 2025-08-19 07:43:50 | shapes | 1 | 48755 | 15 | 2.986 | 16327.9 |
1107 | 2025-08-12 23:06:17 | shapes | 1 | 48755 | 15 | 2.186 | 22303.3 |
1106 | 2025-08-09 06:55:00 | shapes | 1 | 48755 | 15 | 6.173 | 7898.1 |
1105 | 2025-08-09 03:06:01 | shapes | 1 | 48755 | 15 | 4.390 | 11105.9 |
1104 | 2025-08-02 16:16:04 | shapes | 1 | 48755 | 15 | 1.326 | 36768.5 |
1103 | 2025-08-01 12:59:34 | shapes | 2 | 82551 | 195 | 12.173 | 6781.5 |
1102 | 2025-08-01 12:13:59 | shapes | 1 | 48755 | 15 | 4.110 | 11862.5 |
1101 | 2025-07-31 14:09:47 | shapes | 1 | 48755 | 15 | 2.343 | 20808.8 |
1100 | 2025-07-30 23:55:59 | shapes | 1 | 48755 | 15 | 2.000 | 24377.5 |
1099 | 2025-07-27 10:52:39 | shapes | 1 | 48755 | 15 | 4.983 | 9784.3 |
1098 | 2025-07-25 06:02:19 | shapes | 1 | 48755 | 15 | 1.940 | 25131.4 |
1097 | 2025-07-24 06:47:33 | shapes | 1 | 48755 | 15 | 3.393 | 14369.3 |
1096 | 2025-07-24 03:36:01 | shapes | 2 | 82551 | 195 | 10.436 | 7910.2 |
1095 | 2025-07-22 20:02:53 | shapes | 1 | 48755 | 15 | 2.466 | 19770.9 |
1094 | 2025-07-19 21:43:55 | shapes | 1 | 48755 | 15 | 0.936 | 52088.7 |
1093 | 2025-07-19 21:43:53 | shapes | 1 | 48755 | 15 | 0.920 | 52994.6 |
1092 | 2025-07-17 20:02:53 | shapes | 1 | 48755 | 15 | 3.766 | 12946.1 |
1091 | 2025-07-12 14:57:47 | shapes | 1 | 48755 | 15 | 1.983 | 24586.5 |
1090 | 2025-07-11 18:10:42 | shapes | 1 | 48755 | 15 | 2.030 | 24017.2 |
1089 | 2025-07-10 09:35:26 | shapes | 1 | 48755 | 15 | 1.766 | 27607.6 |
1088 | 2025-07-08 02:04:05 | shapes | 1 | 48755 | 15 | 2.656 | 18356.6 |
1087 | 2025-07-04 12:19:18 | shapes | 1 | 48755 | 15 | 4.673 | 10433.3 |
1086 | 2025-07-03 21:34:30 | shapes | 2 | 82551 | 195 | 12.593 | 6555.3 |
1085 | 2025-06-28 14:02:05 | shapes | 2 | 82551 | 195 | 10.796 | 7646.4 |
1084 | 2025-06-26 11:53:23 | shapes | 2 | 82551 | 195 | 6.890 | 11981.3 |
1083 | 2025-06-26 10:42:19 | shapes | 1 | 48755 | 15 | 4.203 | 11600.0 |
1082 | 2025-06-25 00:28:55 | shapes | 2 | 82551 | 195 | 12.876 | 6411.2 |
1081 | 2025-06-24 18:44:53 | shapes | 1 | 48755 | 15 | 0.906 | 53813.5 |
1080 | 2025-06-21 23:41:36 | shapes | 1 | 48755 | 15 | 2.030 | 24017.2 |
1079 | 2025-06-18 09:04:17 | shapes | 1 | 48755 | 15 | 2.406 | 20263.9 |
1078 | 2025-06-17 16:53:37 | shapes | 1 | 48755 | 15 | 0.876 | 55656.4 |
1077 | 2025-06-15 06:47:34 | shapes | 1 | 48755 | 15 | 0.860 | 56691.9 |
1076 | 2025-06-15 04:00:47 | shapes | 1 | 48755 | 15 | 1.563 | 31193.2 |
1075 | 2025-06-14 13:50:42 | shapes | 1 | 48755 | 15 | 2.203 | 22131.2 |
1074 | 2025-06-12 06:22:18 | shapes | 2 | 82551 | 195 | 10.186 | 8104.4 |
1073 | 2025-06-11 10:24:48 | shapes | 2 | 82551 | 195 | 11.203 | 7368.7 |
1072 | 2025-06-10 04:47:43 | shapes | 1 | 48755 | 15 | 4.173 | 11683.4 |
1071 | 2025-06-09 20:06:30 | shapes | 2 | 82551 | 195 | 15.360 | 5374.4 |
1070 | 2025-06-08 01:44:31 | shapes | 1 | 48755 | 15 | 4.126 | 11816.5 |
1069 | 2025-06-07 15:05:24 | shapes | 1 | 48755 | 15 | 6.016 | 8104.2 |
1068 | 2025-06-03 10:38:43 | shapes | 1 | 48755 | 15 | 0.766 | 63648.8 |
1067 | 2025-06-02 08:24:17 | shapes | 1 | 48755 | 15 | 3.736 | 13050.1 |
1066 | 2025-06-01 08:39:41 | shapes | 1 | 48755 | 15 | 6.373 | 7650.2 |
1065 | 2025-06-01 07:07:27 | shapes | 1 | 48755 | 15 | 3.420 | 14255.8 |
1064 | 2025-05-29 20:36:14 | shapes | 1 | 48755 | 15 | 0.860 | 56691.9 |
1063 | 2025-05-26 23:54:59 | shapes | 1 | 48755 | 15 | 5.016 | 9719.9 |
1062 | 2025-05-26 11:50:45 | shapes | 1 | 48755 | 15 | 4.610 | 10575.9 |
1061 | 2025-05-24 14:06:39 | shapes | 2 | 82551 | 195 | 9.533 | 8659.5 |
1060 | 2025-05-22 06:38:37 | shapes | 1 | 48755 | 15 | 2.343 | 20808.8 |
1059 | 2025-05-21 20:01:32 | shapes | 2 | 82551 | 195 | 2.516 | 32810.4 |
1058 | 2025-05-19 19:41:24 | shapes | 2 | 82551 | 195 | 2.690 | 30688.1 |
1057 | 2025-05-16 13:43:21 | shapes | 1 | 48755 | 15 | 6.330 | 7702.2 |
1056 | 2025-05-10 06:02:35 | shapes | 2 | 82551 | 195 | 16.033 | 5148.8 |
1055 | 2025-05-09 17:11:28 | shapes | 1 | 48755 | 15 | 0.873 | 55847.7 |
1054 | 2025-05-09 05:45:55 | shapes | 2 | 82551 | 195 | 2.263 | 36478.6 |
1053 | 2025-05-09 04:47:54 | shapes | 1 | 48755 | 15 | 0.890 | 54780.9 |
1052 | 2025-05-08 01:29:55 | shapes | 1 | 48755 | 15 | 2.390 | 20399.6 |
1051 | 2025-05-05 14:35:25 | shapes | 2 | 82551 | 195 | 11.766 | 7016.1 |
1050 | 2025-05-02 08:30:09 | shapes | 1 | 48755 | 15 | 2.233 | 21833.9 |
1049 | 2025-04-30 10:21:56 | shapes | 1 | 48755 | 15 | 4.093 | 11911.8 |
1048 | 2025-04-21 06:49:48 | shapes | 1 | 48755 | 15 | 4.890 | 9970.3 |
1047 | 2025-04-18 13:14:26 | shapes | 2 | 82551 | 195 | 12.126 | 6807.8 |
1046 | 2025-04-17 04:09:39 | shapes | 1 | 48755 | 15 | 0.920 | 52994.6 |
1045 | 2025-04-16 19:17:39 | shapes | 1 | 48755 | 15 | 0.906 | 53813.5 |
1044 | 2025-04-09 09:33:00 | shapes | 2 | 82551 | 195 | 12.280 | 6722.4 |
1043 | 2025-04-08 04:39:26 | shapes | 1 | 48755 | 15 | 0.936 | 52088.7 |
1042 | 2025-04-08 00:44:27 | shapes | 1 | 48755 | 15 | 3.860 | 12630.8 |
1041 | 2025-04-02 00:20:07 | shapes | 1 | 48755 | 15 | 3.093 | 15763.0 |
1040 | 2025-03-31 20:57:15 | shapes | 1 | 48755 | 15 | 4.220 | 11553.3 |
1039 | 2025-03-31 10:39:32 | shapes | 1 | 48755 | 15 | 4.423 | 11023.1 |
1038 | 2025-03-29 00:33:35 | shapes | 1 | 48755 | 15 | 2.110 | 23106.6 |
1037 | 2025-03-26 12:16:43 | shapes | 1 | 48755 | 15 | 3.953 | 12333.7 |
1036 | 2025-03-21 08:28:13 | shapes | 1 | 48755 | 15 | 3.966 | 12293.2 |
1035 | 2025-03-16 21:54:19 | shapes | 1 | 48755 | 15 | 5.703 | 8549.0 |
1034 | 2025-03-10 04:14:57 | shapes | 2 | 82551 | 195 | 12.186 | 6774.2 |
1033 | 2025-03-09 06:35:00 | shapes | 2 | 82551 | 195 | 15.720 | 5251.3 |
1032 | 2025-03-08 22:02:01 | shapes | 2 | 82551 | 195 | 12.330 | 6695.1 |
1031 | 2025-03-08 22:01:57 | shapes | 1 | 48755 | 15 | 4.110 | 11862.5 |
1030 | 2025-03-07 20:05:06 | shapes | 1 | 48755 | 15 | 3.173 | 15365.6 |
1029 | 2025-03-06 17:57:46 | shapes | 1 | 48755 | 15 | 3.783 | 12887.9 |
1028 | 2025-03-06 05:06:23 | shapes | 1 | 48755 | 15 | 4.220 | 11553.3 |
1027 | 2025-03-03 01:51:09 | shapes | 1 | 48755 | 15 | 2.420 | 20146.7 |
1026 | 2025-03-01 00:59:46 | shapes | 1 | 48755 | 15 | 3.783 | 12887.9 |
1025 | 2025-02-24 01:21:08 | shapes | 1 | 48755 | 15 | 4.326 | 11270.2 |
1024 | 2025-02-18 17:22:52 | shapes | 1 | 48755 | 15 | 4.220 | 11553.3 |
1023 | 2025-02-16 19:48:17 | shapes | 1 | 48755 | 15 | 4.000 | 12188.8 |
1022 | 2025-02-05 06:11:52 | shapes | 1 | 48755 | 15 | 4.673 | 10433.3 |
1021 | 2025-01-29 03:59:12 | shapes | 1 | 48755 | 15 | 3.326 | 14658.7 |
1020 | 2025-01-24 17:30:12 | shapes | 1 | 48755 | 15 | 3.500 | 13930.0 |
1019 | 2025-01-06 12:03:44 | shapes | 2 | 82551 | 195 | 12.266 | 6730.1 |
1018 | 2025-01-06 12:03:29 | shapes | 1 | 48755 | 15 | 3.970 | 12280.9 |
1017 | 2025-01-06 02:53:02 | shapes | 2 | 82551 | 195 | 9.656 | 8549.2 |
1016 | 2025-01-06 02:52:57 | shapes | 1 | 48755 | 15 | 2.126 | 22932.7 |
1015 | 2024-12-30 18:39:18 | shapes | 2 | 82551 | 195 | 2.576 | 32046.2 |
1014 | 2024-12-30 15:55:25 | shapes | 2 | 82551 | 195 | 10.923 | 7557.5 |
1013 | 2024-12-30 13:56:36 | shapes | 2 | 82551 | 195 | 6.093 | 13548.5 |
1012 | 2024-12-29 08:14:03 | shapes | 1 | 48755 | 15 | 0.780 | 62506.4 |