History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"lean"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1065 | 2025-05-08 19:25:14 | lean | 1 | 13983 | 24 | 2.296 | 6090.2 |
1064 | 2025-05-04 21:43:39 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
1063 | 2025-05-03 04:24:51 | lean | 1 | 13983 | 24 | 0.970 | 14415.5 |
1062 | 2025-04-30 11:10:33 | lean | 1 | 13983 | 24 | 0.686 | 20383.4 |
1061 | 2025-04-29 12:44:44 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
1060 | 2025-04-26 21:05:53 | lean | 1 | 13983 | 24 | 0.266 | 52567.7 |
1059 | 2025-04-26 00:35:25 | lean | 1 | 13983 | 24 | 0.796 | 17566.6 |
1058 | 2025-04-18 23:10:56 | lean | 1 | 13983 | 24 | 1.360 | 10281.6 |
1057 | 2025-04-16 14:56:29 | lean | 2 | 29872 | 331 | 2.250 | 13276.4 |
1056 | 2025-04-14 15:40:19 | lean | 1 | 13983 | 24 | 1.063 | 13154.3 |
1055 | 2025-04-06 12:06:33 | lean | 1 | 13983 | 24 | 1.390 | 10059.7 |
1054 | 2025-04-04 18:30:42 | lean | 1 | 13983 | 24 | 0.593 | 23580.1 |
1053 | 2025-03-29 13:41:17 | lean | 1 | 13983 | 24 | 0.533 | 26234.5 |
1052 | 2025-03-26 01:28:48 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
1051 | 2025-03-22 20:40:47 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
1050 | 2025-03-19 21:32:51 | lean | 2 | 29872 | 331 | 2.516 | 11872.8 |
1049 | 2025-03-18 23:42:49 | lean | 1 | 13983 | 24 | 0.216 | 64736.1 |
1048 | 2025-03-16 04:41:10 | lean | 1 | 13983 | 24 | 0.940 | 14875.5 |
1047 | 2025-03-14 21:04:46 | lean | 1 | 13983 | 24 | 0.673 | 20777.1 |
1046 | 2025-03-13 13:15:11 | lean | 1 | 13983 | 24 | 1.703 | 8210.8 |
1045 | 2025-03-06 14:17:18 | lean | 1 | 13983 | 24 | 1.470 | 9512.2 |
1044 | 2025-02-26 22:08:26 | lean | 1 | 13983 | 24 | 1.280 | 10924.2 |
1043 | 2025-02-26 02:56:43 | lean | 2 | 29872 | 331 | 6.216 | 4805.7 |
1042 | 2025-02-25 23:46:34 | lean | 2 | 29872 | 331 | 4.860 | 6146.5 |
1041 | 2025-02-25 23:23:12 | lean | 1 | 13983 | 24 | 1.050 | 13317.1 |
1040 | 2025-02-24 12:39:53 | lean | 1 | 13983 | 24 | 0.483 | 28950.3 |
1039 | 2025-02-23 00:32:20 | lean | 1 | 13983 | 24 | 0.813 | 17199.3 |
1038 | 2025-02-04 19:52:08 | lean | 2 | 29872 | 331 | 2.843 | 10507.2 |
1037 | 2025-02-04 13:54:29 | lean | 2 | 29872 | 331 | 2.203 | 13559.7 |
1036 | 2025-02-04 13:46:12 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
1035 | 2025-02-03 14:07:55 | lean | 1 | 13983 | 24 | 0.970 | 14415.5 |
1034 | 2025-01-26 12:55:41 | lean | 2 | 29872 | 331 | 4.110 | 7268.1 |
1033 | 2025-01-26 12:23:33 | lean | 2 | 29872 | 331 | 2.570 | 11623.3 |
1032 | 2025-01-26 11:32:31 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
1031 | 2025-01-25 12:08:03 | lean | 1 | 13983 | 24 | 0.216 | 64736.1 |
1030 | 2025-01-23 19:32:59 | lean | 1 | 13983 | 24 | 0.793 | 17633.0 |
1029 | 2025-01-15 03:26:26 | lean | 2 | 29872 | 331 | 4.623 | 6461.6 |
1028 | 2025-01-05 13:56:23 | lean | 2 | 29872 | 331 | 3.750 | 7965.9 |
1027 | 2025-01-05 13:34:33 | lean | 1 | 13983 | 24 | 0.236 | 59250.0 |
1026 | 2024-12-27 10:30:17 | lean | 2 | 29872 | 331 | 2.736 | 10918.1 |
1025 | 2024-12-27 07:33:29 | lean | 2 | 29872 | 331 | 2.216 | 13480.1 |
1024 | 2024-12-27 07:24:49 | lean | 1 | 13983 | 24 | 0.203 | 68881.8 |
1023 | 2024-12-26 07:26:11 | lean | 1 | 13983 | 24 | 0.280 | 49939.3 |
1022 | 2024-12-24 18:05:01 | lean | 1 | 13983 | 24 | 1.360 | 10281.6 |
1021 | 2024-12-20 04:51:27 | lean | 1 | 13983 | 24 | 0.546 | 25609.9 |
1020 | 2024-12-06 10:40:37 | lean | 2 | 29872 | 331 | 3.500 | 8534.9 |
1019 | 2024-12-06 10:39:12 | lean | 1 | 13983 | 24 | 2.046 | 6834.3 |
1018 | 2024-11-27 06:34:14 | lean | 2 | 29872 | 331 | 5.970 | 5003.7 |
1017 | 2024-11-27 05:48:24 | lean | 2 | 29872 | 331 | 4.310 | 6930.9 |
1016 | 2024-11-27 05:43:50 | lean | 1 | 13983 | 24 | 0.673 | 20777.1 |
1015 | 2024-11-26 07:14:06 | lean | 1 | 13983 | 24 | 1.530 | 9139.2 |
1014 | 2024-11-24 17:29:31 | lean | 1 | 13983 | 24 | 0.923 | 15149.5 |
1013 | 2024-11-06 07:11:52 | lean | 1 | 13983 | 24 | 0.936 | 14939.1 |
1012 | 2024-10-28 03:50:49 | lean | 2 | 29872 | 331 | 2.156 | 13855.3 |
1011 | 2024-10-28 01:32:21 | lean | 1 | 13983 | 24 | 0.220 | 63559.1 |
1010 | 2024-10-27 09:37:51 | lean | 2 | 29872 | 331 | 4.173 | 7158.4 |
1009 | 2024-10-27 07:53:28 | lean | 1 | 13983 | 24 | 0.280 | 49939.3 |
1008 | 2024-10-27 02:59:23 | lean | 2 | 29872 | 331 | 2.813 | 10619.3 |
1007 | 2024-10-26 15:38:24 | lean | 2 | 29872 | 331 | 5.220 | 5722.6 |
1006 | 2024-10-26 14:52:39 | lean | 2 | 29872 | 331 | 3.126 | 9556.0 |
1005 | 2024-10-26 00:10:56 | lean | 2 | 29872 | 331 | 2.500 | 11948.8 |
1004 | 2024-10-25 23:59:52 | lean | 1 | 13983 | 24 | 0.263 | 53167.3 |
1003 | 2024-10-25 16:46:19 | lean | 1 | 13983 | 24 | 1.406 | 9945.2 |
1002 | 2024-10-24 17:19:41 | lean | 1 | 13983 | 24 | 0.470 | 29751.1 |
1001 | 2024-10-07 07:07:58 | lean | 1 | 13983 | 24 | 1.720 | 8129.7 |
1000 | 2024-09-27 23:29:52 | lean | 2 | 29872 | 331 | 6.280 | 4756.7 |
999 | 2024-09-27 22:21:37 | lean | 2 | 29872 | 331 | 3.843 | 7773.1 |
998 | 2024-09-27 21:32:26 | lean | 1 | 13983 | 24 | 0.216 | 64736.1 |
997 | 2024-09-27 03:47:36 | lean | 1 | 13983 | 24 | 2.030 | 6888.2 |
996 | 2024-09-25 11:27:05 | lean | 1 | 13983 | 24 | 0.983 | 14224.8 |
995 | 2024-09-14 01:31:18 | lean | 1 | 13983 | 24 | 1.953 | 7159.8 |
994 | 2024-09-07 02:55:20 | lean | 1 | 13983 | 24 | 2.283 | 6124.8 |
993 | 2024-09-07 02:48:49 | lean | 1 | 13983 | 24 | 1.173 | 11920.7 |
992 | 2024-08-30 01:15:04 | lean | 1 | 13983 | 24 | 3.076 | 4545.8 |
991 | 2024-08-28 21:19:30 | lean | 2 | 29872 | 331 | 7.033 | 4247.4 |
990 | 2024-08-28 18:57:32 | lean | 2 | 29872 | 331 | 8.546 | 3495.4 |
989 | 2024-08-28 17:25:00 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
988 | 2024-08-28 03:33:54 | lean | 1 | 13983 | 24 | 1.030 | 13575.7 |
987 | 2024-08-26 10:58:11 | lean | 1 | 13983 | 24 | 2.096 | 6671.3 |
986 | 2024-08-08 15:58:10 | lean | 1 | 13983 | 24 | 0.653 | 21413.5 |
985 | 2024-08-08 00:04:44 | lean | 1 | 13983 | 24 | 0.686 | 20383.4 |
984 | 2024-08-02 02:26:34 | lean | 2 | 29872 | 331 | 3.266 | 9146.4 |
983 | 2024-08-02 02:13:51 | lean | 1 | 13983 | 24 | 0.233 | 60012.9 |
982 | 2024-07-29 18:54:19 | lean | 2 | 29872 | 331 | 1.440 | 20744.4 |
981 | 2024-07-29 16:38:38 | lean | 2 | 29872 | 331 | 5.826 | 5127.4 |
980 | 2024-07-29 15:20:41 | lean | 1 | 13983 | 24 | 0.220 | 63559.1 |
979 | 2024-07-28 22:53:59 | lean | 1 | 13983 | 24 | 0.283 | 49409.9 |
978 | 2024-07-27 09:00:55 | lean | 1 | 13983 | 24 | 0.296 | 47239.9 |
977 | 2024-07-17 02:00:36 | lean | 1 | 13983 | 24 | 1.250 | 11186.4 |
976 | 2024-07-06 23:29:33 | lean | 1 | 13983 | 24 | 0.500 | 27966.0 |
975 | 2024-07-03 01:51:39 | lean | 1 | 13983 | 24 | 1.236 | 11313.1 |
974 | 2024-06-29 14:49:20 | lean | 1 | 13983 | 24 | 1.186 | 11790.1 |
973 | 2024-06-29 14:31:34 | lean | 1 | 13983 | 24 | 0.326 | 42892.6 |
972 | 2024-06-28 21:54:30 | lean | 1 | 13983 | 24 | 0.750 | 18644.0 |
971 | 2024-06-27 04:32:09 | lean | 2 | 29872 | 331 | 3.966 | 7532.0 |
970 | 2024-06-27 04:31:55 | lean | 1 | 13983 | 24 | 0.250 | 55932.0 |
969 | 2024-06-14 17:47:28 | lean | 1 | 13983 | 24 | 0.670 | 20870.1 |
968 | 2024-06-13 07:50:46 | lean | 1 | 13983 | 24 | 0.703 | 19890.5 |
967 | 2024-06-10 15:40:29 | lean | 1 | 13983 | 24 | 0.970 | 14415.5 |
966 | 2024-06-10 02:26:45 | lean | 1 | 13983 | 24 | 1.360 | 10281.6 |