History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"nanas"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1033 | 2025-09-14 05:23:06 | nanas | 1 | 28756 | 13 | 0.513 | 56054.6 |
1032 | 2025-09-11 01:53:36 | nanas | 2 | 53800 | 232 | 1.670 | 32215.6 |
1031 | 2025-09-05 03:32:52 | nanas | 1 | 28756 | 13 | 0.500 | 57512.0 |
1030 | 2025-08-30 15:43:36 | nanas | 1 | 28756 | 13 | 0.500 | 57512.0 |
1029 | 2025-08-27 02:27:03 | nanas | 1 | 28756 | 13 | 0.436 | 65954.1 |
1028 | 2025-08-23 07:26:50 | nanas | 1 | 28756 | 13 | 2.313 | 12432.3 |
1027 | 2025-08-22 20:07:37 | nanas | 1 | 28756 | 13 | 1.013 | 28387.0 |
1026 | 2025-08-13 20:32:02 | nanas | 1 | 28756 | 13 | 0.516 | 55728.7 |
1025 | 2025-08-05 02:58:57 | nanas | 2 | 53800 | 232 | 3.860 | 13937.8 |
1024 | 2025-08-04 09:03:57 | nanas | 1 | 28756 | 13 | 0.470 | 61183.0 |
1023 | 2025-07-28 17:27:10 | nanas | 1 | 28756 | 13 | 0.983 | 29253.3 |
1022 | 2025-07-27 06:51:27 | nanas | 1 | 28756 | 13 | 2.796 | 10284.7 |
1021 | 2025-07-26 10:10:04 | nanas | 1 | 28756 | 13 | 0.893 | 32201.6 |
1020 | 2025-07-23 14:24:58 | nanas | 1 | 28756 | 13 | 0.796 | 36125.6 |
1019 | 2025-07-23 05:28:00 | nanas | 1 | 28756 | 13 | 0.970 | 29645.4 |
1018 | 2025-07-19 00:53:39 | nanas | 1 | 28756 | 13 | 0.500 | 57512.0 |
1017 | 2025-07-18 12:21:34 | nanas | 1 | 28756 | 13 | 2.936 | 9794.3 |
1016 | 2025-07-16 09:44:37 | nanas | 1 | 28756 | 13 | 2.736 | 10510.2 |
1015 | 2025-07-13 05:51:25 | nanas | 1 | 28756 | 13 | 1.376 | 20898.3 |
1014 | 2025-07-12 20:46:47 | nanas | 1 | 28756 | 13 | 0.970 | 29645.4 |
1013 | 2025-07-10 04:37:48 | nanas | 1 | 28756 | 13 | 2.810 | 10233.5 |
1012 | 2025-07-04 08:24:27 | nanas | 1 | 28756 | 13 | 2.533 | 11352.5 |
1011 | 2025-07-01 00:05:33 | nanas | 1 | 28756 | 13 | 1.076 | 26724.9 |
1010 | 2025-06-28 19:21:40 | nanas | 2 | 53800 | 232 | 1.686 | 31909.8 |
1009 | 2025-06-24 19:38:49 | nanas | 1 | 28756 | 13 | 0.453 | 63479.0 |
1008 | 2025-06-16 01:52:11 | nanas | 2 | 53800 | 232 | 8.360 | 6435.4 |
1007 | 2025-06-14 16:55:38 | nanas | 2 | 53800 | 232 | 8.033 | 6697.4 |
1006 | 2025-06-13 06:28:53 | nanas | 1 | 28756 | 13 | 2.140 | 13437.4 |
1005 | 2025-06-13 06:03:29 | nanas | 1 | 28756 | 13 | 0.500 | 57512.0 |
1004 | 2025-06-13 05:18:08 | nanas | 1 | 28756 | 13 | 0.516 | 55728.7 |
1003 | 2025-06-13 00:30:41 | nanas | 1 | 28756 | 13 | 0.450 | 63902.2 |
1002 | 2025-06-12 20:17:37 | nanas | 1 | 28756 | 13 | 0.546 | 52666.7 |
1001 | 2025-06-03 20:51:11 | nanas | 1 | 28756 | 13 | 1.360 | 21144.1 |
1000 | 2025-06-02 09:09:25 | nanas | 1 | 28756 | 13 | 3.640 | 7900.0 |
999 | 2025-05-31 12:39:09 | nanas | 1 | 28756 | 13 | 2.360 | 12184.7 |
998 | 2025-05-30 23:02:58 | nanas | 1 | 28756 | 13 | 1.343 | 21411.8 |
997 | 2025-05-30 22:41:49 | nanas | 1 | 28756 | 13 | 2.610 | 11017.6 |
996 | 2025-05-30 16:45:04 | nanas | 1 | 28756 | 13 | 0.546 | 52666.7 |
995 | 2025-05-28 21:41:31 | nanas | 1 | 28756 | 13 | 2.110 | 13628.4 |
994 | 2025-05-25 00:51:44 | nanas | 1 | 28756 | 13 | 1.076 | 26724.9 |
993 | 2025-05-16 22:42:22 | nanas | 1 | 28756 | 13 | 1.546 | 18600.3 |
992 | 2025-05-16 08:32:05 | nanas | 1 | 28756 | 13 | 2.483 | 11581.2 |
991 | 2025-05-14 06:48:13 | nanas | 2 | 53800 | 232 | 10.986 | 4897.1 |
990 | 2025-05-13 06:54:56 | nanas | 1 | 28756 | 13 | 1.300 | 22120.0 |
989 | 2025-05-11 20:20:26 | nanas | 1 | 28756 | 13 | 2.313 | 12432.3 |
988 | 2025-05-09 00:56:46 | nanas | 1 | 28756 | 13 | 0.530 | 54256.6 |
987 | 2025-05-08 05:36:25 | nanas | 1 | 28756 | 13 | 2.686 | 10705.9 |
986 | 2025-05-03 23:27:41 | nanas | 2 | 53800 | 232 | 4.313 | 12473.9 |
985 | 2025-05-03 20:50:49 | nanas | 1 | 28756 | 13 | 2.360 | 12184.7 |
984 | 2025-05-02 18:54:18 | nanas | 2 | 53800 | 232 | 1.466 | 36698.5 |
983 | 2025-05-02 08:57:30 | nanas | 1 | 28756 | 13 | 2.813 | 10222.5 |
982 | 2025-04-29 22:52:32 | nanas | 1 | 28756 | 13 | 3.563 | 8070.7 |
981 | 2025-04-27 18:48:36 | nanas | 1 | 28756 | 13 | 0.500 | 57512.0 |
980 | 2025-04-27 18:38:20 | nanas | 1 | 28756 | 13 | 0.500 | 57512.0 |
979 | 2025-04-23 21:21:18 | nanas | 2 | 53800 | 232 | 8.550 | 6292.4 |
978 | 2025-04-20 18:32:35 | nanas | 2 | 53800 | 232 | 1.563 | 34421.0 |
977 | 2025-04-16 07:20:07 | nanas | 1 | 28756 | 13 | 2.343 | 12273.2 |
976 | 2025-04-12 07:31:52 | nanas | 1 | 28756 | 13 | 1.190 | 24164.7 |
975 | 2025-04-11 15:45:24 | nanas | 2 | 53800 | 232 | 12.420 | 4331.7 |
974 | 2025-04-09 20:19:46 | nanas | 1 | 28756 | 13 | 0.516 | 55728.7 |
973 | 2025-04-08 10:03:39 | nanas | 2 | 53800 | 232 | 1.736 | 30990.8 |
972 | 2025-04-07 05:15:29 | nanas | 1 | 28756 | 13 | 0.563 | 51076.4 |
971 | 2025-03-31 09:43:23 | nanas | 1 | 28756 | 13 | 2.920 | 9847.9 |
970 | 2025-03-30 23:26:57 | nanas | 2 | 53800 | 232 | 5.046 | 10661.9 |
969 | 2025-03-30 21:10:59 | nanas | 1 | 28756 | 13 | 3.093 | 9297.1 |
968 | 2025-03-29 23:14:04 | nanas | 1 | 28756 | 13 | 1.576 | 18246.2 |
967 | 2025-03-16 15:04:58 | nanas | 2 | 53800 | 232 | 7.906 | 6805.0 |
966 | 2025-03-16 15:00:35 | nanas | 1 | 28756 | 13 | 1.220 | 23570.5 |
965 | 2025-03-13 05:21:40 | nanas | 1 | 28756 | 13 | 0.750 | 38341.3 |
964 | 2025-03-07 16:36:27 | nanas | 1 | 28756 | 13 | 2.470 | 11642.1 |
963 | 2025-02-28 00:57:17 | nanas | 2 | 53800 | 232 | 7.986 | 6736.8 |
962 | 2025-02-28 00:20:14 | nanas | 1 | 28756 | 13 | 0.453 | 63479.0 |
961 | 2025-02-27 07:46:06 | nanas | 2 | 53800 | 232 | 7.983 | 6739.3 |
960 | 2025-02-27 07:17:51 | nanas | 1 | 28756 | 13 | 0.453 | 63479.0 |
959 | 2025-02-25 12:00:48 | nanas | 1 | 28756 | 13 | 2.296 | 12524.4 |
958 | 2025-02-20 17:49:23 | nanas | 1 | 28756 | 13 | 3.890 | 7392.3 |
957 | 2025-02-07 08:04:28 | nanas | 1 | 28756 | 13 | 0.953 | 30174.2 |
956 | 2025-02-04 23:40:54 | nanas | 1 | 28756 | 13 | 2.313 | 12432.3 |
955 | 2025-01-28 21:36:11 | nanas | 1 | 28756 | 13 | 0.500 | 57512.0 |
954 | 2025-01-28 07:16:58 | nanas | 2 | 53800 | 232 | 3.903 | 13784.3 |
953 | 2025-01-28 00:34:03 | nanas | 2 | 53800 | 232 | 5.716 | 9412.2 |
952 | 2025-01-27 15:53:06 | nanas | 2 | 53800 | 232 | 3.860 | 13937.8 |
951 | 2025-01-27 15:49:14 | nanas | 1 | 28756 | 13 | 0.940 | 30591.5 |
950 | 2025-01-05 20:05:40 | nanas | 1 | 28756 | 13 | 2.143 | 13418.6 |
949 | 2024-12-29 14:46:24 | nanas | 2 | 53800 | 232 | 1.593 | 33772.8 |
948 | 2024-12-29 14:46:14 | nanas | 1 | 28756 | 13 | 0.440 | 65354.5 |
947 | 2024-12-28 23:38:18 | nanas | 2 | 53800 | 232 | 7.893 | 6816.2 |
946 | 2024-12-28 11:27:57 | nanas | 2 | 53800 | 232 | 10.983 | 4898.5 |
945 | 2024-12-28 11:02:33 | nanas | 1 | 28756 | 13 | 0.436 | 65954.1 |
944 | 2024-12-25 09:42:25 | nanas | 1 | 28756 | 13 | 2.530 | 11366.0 |
943 | 2024-12-06 23:35:32 | nanas | 1 | 28756 | 13 | 2.563 | 11219.7 |
942 | 2024-12-06 17:53:59 | nanas | 1 | 28756 | 13 | 1.966 | 14626.7 |
941 | 2024-11-29 12:44:59 | nanas | 2 | 53800 | 232 | 7.620 | 7060.4 |
940 | 2024-11-29 12:38:11 | nanas | 1 | 28756 | 13 | 0.436 | 65954.1 |
939 | 2024-11-28 09:19:12 | nanas | 2 | 53800 | 232 | 8.830 | 6092.9 |
938 | 2024-11-28 09:18:25 | nanas | 1 | 28756 | 13 | 1.843 | 15602.8 |
937 | 2024-11-25 03:55:21 | nanas | 2 | 53800 | 232 | 8.000 | 6725.0 |
936 | 2024-11-25 03:55:14 | nanas | 1 | 28756 | 13 | 2.500 | 11502.4 |
935 | 2024-11-06 17:57:54 | nanas | 1 | 28756 | 13 | 2.360 | 12184.7 |
934 | 2024-10-30 12:07:46 | nanas | 2 | 53800 | 232 | 8.003 | 6722.5 |