History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"lends"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1083 | 2024-04-22 08:56:17 | lends | 1 | 28756 | 20 | 1.423 | 20208.0 |
1082 | 2024-04-05 01:45:58 | lends | 1 | 28756 | 20 | 0.533 | 53951.2 |
1081 | 2024-04-03 02:47:30 | lends | 1 | 28756 | 20 | 1.610 | 17860.9 |
1080 | 2024-03-31 11:17:07 | lends | 2 | 53800 | 213 | 1.703 | 31591.3 |
1079 | 2024-03-31 11:17:00 | lends | 1 | 28756 | 20 | 0.530 | 54256.6 |
1078 | 2024-03-31 11:16:44 | lends | 2 | 53800 | 213 | 5.003 | 10753.5 |
1077 | 2024-03-31 05:19:18 | lends | 2 | 53800 | 213 | 3.830 | 14047.0 |
1076 | 2024-03-31 04:03:22 | lends | 1 | 28756 | 20 | 1.093 | 26309.2 |
1075 | 2024-03-27 05:05:47 | lends | 1 | 28756 | 20 | 0.500 | 57512.0 |
1074 | 2024-03-23 13:36:57 | lends | 1 | 28756 | 20 | 0.470 | 61183.0 |
1073 | 2024-03-14 09:29:19 | lends | 1 | 28756 | 20 | 1.140 | 25224.6 |
1072 | 2024-03-05 20:54:32 | lends | 1 | 28756 | 20 | 1.233 | 23322.0 |
1071 | 2024-03-03 21:10:04 | lends | 1 | 28756 | 20 | 0.456 | 63061.4 |
1070 | 2024-03-01 08:28:29 | lends | 1 | 28756 | 20 | 0.516 | 55728.7 |
1069 | 2024-02-25 18:00:14 | lends | 1 | 28756 | 20 | 2.500 | 11502.4 |
1068 | 2024-01-03 21:05:55 | lends | 2 | 53800 | 213 | 1.486 | 36204.6 |
1067 | 2023-12-25 19:40:51 | lends | 1 | 28756 | 20 | 0.500 | 57512.0 |
1066 | 2023-12-25 01:35:57 | lends | 2 | 53800 | 213 | 1.470 | 36598.6 |
1065 | 2023-12-21 10:03:06 | lends | 1 | 28756 | 20 | 0.516 | 55728.7 |
1064 | 2023-12-17 03:14:48 | lends | 1 | 28756 | 20 | 0.516 | 55728.7 |
1063 | 2023-12-15 01:40:53 | lends | 2 | 53800 | 213 | 1.563 | 34421.0 |
1062 | 2023-12-04 01:56:03 | lends | 1 | 28756 | 20 | 0.483 | 59536.2 |
1061 | 2023-12-04 01:56:02 | lends | 1 | 28756 | 20 | 0.486 | 59168.7 |
1060 | 2023-11-19 01:51:17 | lends | 1 | 28756 | 20 | 0.500 | 57512.0 |
1059 | 2023-11-15 08:41:15 | lends | 1 | 28756 | 20 | 0.436 | 65954.1 |
1058 | 2023-11-12 09:50:31 | lends | 1 | 28756 | 20 | 0.483 | 59536.2 |
1057 | 2023-11-11 11:10:10 | lends | 1 | 28756 | 20 | 0.516 | 55728.7 |
1056 | 2023-10-30 17:48:28 | lends | 2 | 53800 | 213 | 1.720 | 31279.1 |
1055 | 2023-10-25 23:24:46 | lends | 1 | 28756 | 20 | 0.546 | 52666.7 |
1054 | 2023-10-19 22:02:18 | lends | 1 | 28756 | 20 | 0.533 | 53951.2 |
1053 | 2023-10-19 17:24:59 | lends | 1 | 28756 | 20 | 0.453 | 63479.0 |
1052 | 2023-10-14 01:30:39 | lends | 1 | 28756 | 20 | 0.486 | 59168.7 |
1051 | 2023-10-12 00:28:15 | lends | 2 | 53800 | 213 | 2.436 | 22085.4 |
1050 | 2023-10-11 03:17:53 | lends | 1 | 28756 | 20 | 0.436 | 65954.1 |
1049 | 2023-10-09 11:21:36 | lends | 2 | 53800 | 213 | 1.533 | 35094.6 |
1048 | 2023-10-06 05:24:34 | lends | 1 | 28756 | 20 | 0.470 | 61183.0 |
1047 | 2023-10-04 19:41:35 | lends | 2 | 53800 | 213 | 1.610 | 33416.1 |
1046 | 2023-10-01 21:35:56 | lends | 2 | 53800 | 213 | 1.410 | 38156.0 |
1045 | 2023-09-29 08:26:50 | lends | 1 | 28756 | 20 | 0.533 | 53951.2 |
1044 | 2023-09-13 17:29:40 | lends | 1 | 28756 | 20 | 0.483 | 59536.2 |
1043 | 2023-09-01 11:37:47 | lends | 1 | 28756 | 20 | 0.436 | 65954.1 |
1042 | 2023-08-26 15:18:54 | lends | 1 | 28756 | 20 | 0.470 | 61183.0 |
1041 | 2023-08-09 20:18:59 | lends | 1 | 28756 | 20 | 0.453 | 63479.0 |
1040 | 2023-07-29 01:26:26 | lends | 1 | 28756 | 20 | 0.436 | 65954.1 |
1039 | 2023-07-19 22:03:43 | lends | 2 | 53800 | 213 | 1.673 | 32157.8 |
1038 | 2023-07-01 21:57:59 | lends | 2 | 53800 | 213 | 1.376 | 39098.8 |
1037 | 2023-05-10 05:23:01 | lends | 1 | 28756 | 20 | 0.436 | 65954.1 |
1036 | 2023-04-20 17:28:58 | lends | 1 | 28756 | 20 | 0.453 | 63479.0 |
1035 | 2023-04-03 14:31:37 | lends | 2 | 53800 | 213 | 1.546 | 34799.5 |
1034 | 2023-03-04 23:00:32 | lends | 1 | 28756 | 20 | 0.436 | 65954.1 |
1033 | 2023-01-08 07:49:34 | lends | 1 | 28756 | 20 | 0.436 | 65954.1 |
1032 | 2023-01-01 00:24:44 | lends | 2 | 53800 | 213 | 1.596 | 33709.3 |
1031 | 2022-12-28 21:31:43 | lends | 1 | 28756 | 20 | 0.436 | 65954.1 |
1030 | 2022-09-24 12:18:42 | lends | 1 | 28756 | 20 | 0.500 | 57512.0 |
1029 | 2022-09-20 22:02:46 | lends | 1 | 28756 | 20 | 0.453 | 63479.0 |
1028 | 2022-09-18 17:20:25 | lends | 1 | 28756 | 20 | 0.436 | 65954.1 |
1027 | 2022-09-16 08:55:32 | lends | 1 | 28756 | 20 | 0.436 | 65954.1 |
1026 | 2022-09-04 06:10:06 | lends | 2 | 53800 | 213 | 1.406 | 38264.6 |
1025 | 2022-09-02 02:39:05 | lends | 2 | 53800 | 213 | 1.593 | 33772.8 |
1024 | 2022-09-01 16:36:13 | lends | 1 | 28756 | 20 | 0.436 | 65954.1 |
1023 | 2022-08-23 21:15:50 | lends | 1 | 28756 | 20 | 0.466 | 61708.2 |
1022 | 2022-08-07 09:14:34 | lends | 1 | 28756 | 20 | 0.500 | 57512.0 |
1021 | 2022-06-30 21:49:21 | lends | 1 | 28756 | 20 | 0.876 | 32826.5 |
1020 | 2022-06-18 01:42:26 | lends | 2 | 53800 | 213 | 1.546 | 34799.5 |
1019 | 2022-06-14 07:57:36 | lends | 2 | 53800 | 213 | 1.390 | 38705.0 |
1018 | 2022-06-08 04:06:21 | lends | 2 | 53800 | 213 | 1.483 | 36277.8 |
1017 | 2022-05-28 15:50:21 | lends | 1 | 28756 | 20 | 0.440 | 65354.5 |
1016 | 2022-05-17 22:00:03 | lends | 1 | 28756 | 20 | 0.500 | 57512.0 |
1015 | 2022-05-16 22:25:35 | lends | 1 | 28756 | 20 | 0.530 | 54256.6 |
1014 | 2022-05-14 21:12:24 | lends | 1 | 28756 | 20 | 0.500 | 57512.0 |
1013 | 2022-05-13 14:35:02 | lends | 1 | 28756 | 20 | 0.546 | 52666.7 |
1012 | 2022-05-04 21:18:03 | lends | 2 | 53800 | 213 | 1.626 | 33087.3 |
1011 | 2022-03-29 18:46:56 | lends | 2 | 53800 | 213 | 1.876 | 28678.0 |
1010 | 2022-03-11 18:52:11 | lends | 1 | 28756 | 20 | 0.483 | 59536.2 |
1009 | 2022-03-08 22:58:19 | lends | 1 | 28756 | 20 | 0.596 | 48248.3 |
1008 | 2022-03-03 18:49:45 | lends | 1 | 28756 | 20 | 0.453 | 63479.0 |
1007 | 2022-03-01 11:25:39 | lends | 1 | 28756 | 20 | 0.796 | 36125.6 |
1006 | 2022-02-13 19:46:05 | lends | 1 | 28756 | 20 | 1.076 | 26724.9 |
1005 | 2022-02-06 17:50:10 | lends | 1 | 28756 | 20 | 0.513 | 56054.6 |
1004 | 2022-01-28 00:18:22 | lends | 1 | 28756 | 20 | 0.516 | 55728.7 |
1003 | 2022-01-27 00:13:53 | lends | 1 | 28756 | 20 | 0.530 | 54256.6 |
1002 | 2022-01-26 00:15:25 | lends | 1 | 28756 | 20 | 0.516 | 55728.7 |
1001 | 2022-01-25 00:03:19 | lends | 1 | 28756 | 20 | 0.530 | 54256.6 |
1000 | 2022-01-24 00:19:56 | lends | 1 | 28756 | 20 | 1.156 | 24875.4 |
999 | 2022-01-23 00:15:46 | lends | 1 | 28756 | 20 | 0.500 | 57512.0 |
998 | 2022-01-21 18:38:41 | lends | 1 | 28756 | 20 | 0.470 | 61183.0 |
997 | 2022-01-20 16:56:19 | lends | 1 | 28756 | 20 | 0.483 | 59536.2 |
996 | 2022-01-19 23:28:28 | lends | 1 | 28756 | 20 | 0.453 | 63479.0 |
995 | 2022-01-18 23:48:58 | lends | 1 | 28756 | 20 | 0.470 | 61183.0 |
994 | 2022-01-09 14:05:38 | lends | 1 | 28756 | 20 | 0.453 | 63479.0 |
993 | 2022-01-08 20:35:39 | lends | 1 | 28756 | 20 | 0.516 | 55728.7 |
992 | 2022-01-07 15:07:50 | lends | 1 | 28756 | 20 | 0.576 | 49923.6 |
991 | 2022-01-06 15:38:55 | lends | 1 | 28756 | 20 | 0.453 | 63479.0 |
990 | 2021-12-19 18:27:30 | lends | 1 | 28756 | 20 | 0.513 | 56054.6 |
989 | 2021-12-19 07:53:10 | lends | 1 | 28756 | 20 | 0.466 | 61708.2 |
988 | 2021-12-18 20:40:52 | lends | 1 | 28756 | 20 | 0.453 | 63479.0 |
987 | 2021-12-18 02:08:53 | lends | 1 | 28756 | 20 | 0.530 | 54256.6 |
986 | 2021-12-17 14:06:41 | lends | 1 | 28756 | 20 | 0.453 | 63479.0 |
985 | 2021-12-17 05:18:36 | lends | 1 | 28756 | 20 | 0.500 | 57512.0 |
984 | 2021-12-16 17:57:50 | lends | 1 | 28756 | 20 | 0.453 | 63479.0 |