History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"looker"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1046 | 2024-04-28 07:07:58 | looker | 1 | 48755 | 10 | 0.830 | 58741.0 |
1045 | 2024-04-27 02:21:19 | looker | 1 | 48755 | 10 | 0.983 | 49598.2 |
1044 | 2024-04-23 18:44:16 | looker | 1 | 48755 | 10 | 1.000 | 48755.0 |
1043 | 2024-04-09 19:03:02 | looker | 2 | 82551 | 140 | 2.780 | 29694.6 |
1042 | 2024-04-08 06:38:49 | looker | 2 | 82551 | 140 | 2.623 | 31472.0 |
1041 | 2024-04-04 23:59:05 | looker | 2 | 82551 | 140 | 6.860 | 12033.7 |
1040 | 2024-04-04 07:43:53 | looker | 1 | 48755 | 10 | 0.903 | 53992.2 |
1039 | 2024-04-04 07:43:45 | looker | 2 | 82551 | 140 | 2.656 | 31080.9 |
1038 | 2024-03-31 17:54:31 | looker | 1 | 48755 | 10 | 2.623 | 18587.5 |
1037 | 2024-03-08 08:37:11 | looker | 2 | 82551 | 140 | 7.580 | 10890.6 |
1036 | 2024-03-05 09:14:10 | looker | 2 | 82551 | 140 | 2.983 | 27673.8 |
1035 | 2024-03-04 16:11:06 | looker | 2 | 82551 | 140 | 2.890 | 28564.4 |
1034 | 2024-03-04 09:48:06 | looker | 1 | 48755 | 10 | 0.953 | 51159.5 |
1033 | 2024-03-04 09:47:58 | looker | 2 | 82551 | 140 | 3.296 | 25045.8 |
1032 | 2024-02-25 18:57:02 | looker | 1 | 48755 | 10 | 1.236 | 39445.8 |
1031 | 2024-02-16 20:27:43 | looker | 1 | 48755 | 10 | 0.953 | 51159.5 |
1030 | 2024-01-13 15:14:39 | looker | 1 | 48755 | 10 | 0.750 | 65006.7 |
1029 | 2024-01-05 23:58:57 | looker | 2 | 82551 | 140 | 2.513 | 32849.6 |
1028 | 2023-12-09 17:12:19 | looker | 2 | 82551 | 140 | 2.186 | 37763.5 |
1027 | 2023-12-04 04:57:04 | looker | 2 | 82551 | 140 | 2.140 | 38575.2 |
1026 | 2023-11-27 02:35:48 | looker | 2 | 82551 | 140 | 2.436 | 33887.9 |
1025 | 2023-11-23 19:51:06 | looker | 2 | 82551 | 140 | 2.266 | 36430.3 |
1024 | 2023-11-16 13:32:25 | looker | 2 | 82551 | 140 | 2.513 | 32849.6 |
1023 | 2023-11-14 22:08:38 | looker | 1 | 48755 | 10 | 0.750 | 65006.7 |
1022 | 2023-11-10 09:42:10 | looker | 1 | 48755 | 10 | 0.796 | 61250.0 |
1021 | 2023-11-07 15:42:42 | looker | 1 | 48755 | 10 | 0.736 | 66243.2 |
1020 | 2023-11-04 17:46:09 | looker | 1 | 48755 | 10 | 1.453 | 33554.7 |
1019 | 2023-10-26 22:23:54 | looker | 1 | 48755 | 10 | 0.796 | 61250.0 |
1018 | 2023-10-20 14:54:09 | looker | 1 | 48755 | 10 | 0.763 | 63899.1 |
1017 | 2023-10-17 12:05:40 | looker | 1 | 48755 | 10 | 1.626 | 29984.6 |
1016 | 2023-10-12 08:34:31 | looker | 1 | 48755 | 10 | 0.860 | 56691.9 |
1015 | 2023-10-04 03:50:49 | looker | 1 | 48755 | 10 | 0.766 | 63648.8 |
1014 | 2023-09-25 22:37:24 | looker | 1 | 48755 | 10 | 0.763 | 63899.1 |
1013 | 2023-09-11 10:50:23 | looker | 2 | 82551 | 140 | 3.563 | 23169.0 |
1012 | 2023-09-10 11:57:30 | looker | 1 | 48755 | 10 | 0.733 | 66514.3 |
1011 | 2023-09-06 04:54:55 | looker | 2 | 82551 | 140 | 2.110 | 39123.7 |
1010 | 2023-08-28 11:58:11 | looker | 1 | 48755 | 10 | 0.796 | 61250.0 |
1009 | 2023-08-21 06:55:12 | looker | 2 | 82551 | 140 | 2.143 | 38521.2 |
1008 | 2023-07-12 22:09:03 | looker | 1 | 48755 | 10 | 0.750 | 65006.7 |
1007 | 2023-07-07 10:14:37 | looker | 2 | 82551 | 140 | 2.360 | 34979.2 |
1006 | 2023-07-03 04:09:09 | looker | 2 | 82551 | 140 | 2.343 | 35233.0 |
1005 | 2023-06-01 08:36:22 | looker | 2 | 82551 | 140 | 2.110 | 39123.7 |
1004 | 2023-05-31 10:12:13 | looker | 2 | 82551 | 140 | 2.126 | 38829.3 |
1003 | 2023-05-29 07:17:41 | looker | 1 | 48755 | 10 | 0.733 | 66514.3 |
1002 | 2023-05-21 04:10:46 | looker | 2 | 82551 | 140 | 2.110 | 39123.7 |
1001 | 2023-04-13 10:15:49 | looker | 2 | 82551 | 140 | 2.470 | 33421.5 |
1000 | 2023-04-13 08:49:11 | looker | 2 | 82551 | 140 | 2.126 | 38829.3 |
999 | 2023-03-23 12:24:23 | looker | 1 | 48755 | 10 | 0.733 | 66514.3 |
998 | 2023-03-21 21:22:35 | looker | 1 | 48755 | 10 | 0.810 | 60191.4 |
997 | 2023-02-27 15:53:57 | looker | 2 | 82551 | 140 | 2.533 | 32590.2 |
996 | 2023-01-08 08:31:32 | looker | 1 | 48755 | 10 | 0.733 | 66514.3 |
995 | 2022-12-06 16:20:16 | looker | 2 | 82551 | 140 | 2.533 | 32590.2 |
994 | 2022-11-30 11:28:20 | looker | 1 | 48755 | 10 | 0.826 | 59025.4 |
993 | 2022-11-27 04:40:24 | looker | 1 | 48755 | 10 | 0.750 | 65006.7 |
992 | 2022-10-04 17:11:41 | looker | 1 | 48755 | 10 | 0.750 | 65006.7 |
991 | 2022-09-01 19:59:34 | looker | 1 | 48755 | 10 | 0.810 | 60191.4 |
990 | 2022-07-24 00:52:46 | looker | 1 | 48755 | 10 | 0.750 | 65006.7 |
989 | 2022-05-23 01:33:03 | looker | 1 | 48755 | 10 | 0.766 | 63648.8 |
988 | 2022-05-20 22:39:38 | looker | 1 | 48755 | 10 | 0.780 | 62506.4 |
987 | 2022-05-18 16:35:15 | looker | 1 | 48755 | 10 | 0.813 | 59969.2 |
986 | 2022-04-06 15:29:12 | looker | 2 | 82551 | 140 | 2.530 | 32628.9 |
985 | 2022-03-26 04:31:58 | looker | 1 | 48755 | 10 | 0.750 | 65006.7 |
984 | 2022-02-06 21:03:09 | looker | 2 | 82551 | 140 | 2.250 | 36689.3 |
983 | 2022-02-06 09:50:55 | looker | 2 | 82551 | 140 | 2.403 | 34353.3 |
982 | 2022-02-05 14:22:24 | looker | 2 | 82551 | 140 | 2.470 | 33421.5 |
981 | 2022-02-04 22:21:25 | looker | 2 | 82551 | 140 | 2.453 | 33653.1 |
980 | 2022-02-04 10:40:18 | looker | 2 | 82551 | 140 | 2.313 | 35690.0 |
979 | 2022-02-03 20:27:16 | looker | 2 | 82551 | 140 | 2.546 | 32423.8 |
978 | 2022-02-03 10:18:47 | looker | 2 | 82551 | 140 | 2.576 | 32046.2 |
977 | 2022-02-03 01:45:09 | looker | 2 | 82551 | 140 | 2.453 | 33653.1 |
976 | 2022-02-02 18:39:38 | looker | 2 | 82551 | 140 | 2.436 | 33887.9 |
975 | 2022-02-02 02:32:27 | looker | 2 | 82551 | 140 | 2.406 | 34310.5 |
974 | 2022-02-01 13:46:24 | looker | 2 | 82551 | 140 | 2.220 | 37185.1 |
973 | 2022-02-01 02:43:33 | looker | 2 | 82551 | 140 | 2.123 | 38884.1 |
972 | 2022-01-31 12:48:22 | looker | 2 | 82551 | 140 | 2.390 | 34540.2 |
971 | 2022-01-31 03:32:13 | looker | 1 | 48755 | 10 | 0.830 | 58741.0 |
970 | 2022-01-31 01:39:18 | looker | 2 | 82551 | 140 | 2.173 | 37989.4 |
969 | 2022-01-30 19:07:58 | looker | 2 | 82551 | 140 | 2.686 | 30733.8 |
968 | 2022-01-30 12:08:11 | looker | 2 | 82551 | 140 | 2.110 | 39123.7 |
967 | 2022-01-29 16:33:20 | looker | 2 | 82551 | 140 | 2.110 | 39123.7 |
966 | 2022-01-28 21:40:53 | looker | 2 | 82551 | 140 | 2.343 | 35233.0 |
965 | 2022-01-28 08:07:45 | looker | 2 | 82551 | 140 | 2.686 | 30733.8 |
964 | 2022-01-27 19:10:52 | looker | 2 | 82551 | 140 | 2.263 | 36478.6 |
963 | 2022-01-27 01:53:23 | looker | 2 | 82551 | 140 | 5.360 | 15401.3 |
962 | 2022-01-26 16:59:09 | looker | 2 | 82551 | 140 | 2.186 | 37763.5 |
961 | 2022-01-26 07:09:19 | looker | 2 | 82551 | 140 | 2.106 | 39198.0 |
960 | 2022-01-25 23:04:28 | looker | 2 | 82551 | 140 | 2.703 | 30540.5 |
959 | 2022-01-25 08:02:02 | looker | 2 | 82551 | 140 | 2.140 | 38575.2 |
958 | 2022-01-24 18:41:13 | looker | 2 | 82551 | 140 | 2.170 | 38041.9 |
957 | 2022-01-24 06:51:06 | looker | 2 | 82551 | 140 | 2.500 | 33020.4 |
956 | 2022-01-23 17:01:53 | looker | 2 | 82551 | 140 | 2.376 | 34743.7 |
955 | 2022-01-13 06:04:25 | looker | 2 | 82551 | 140 | 2.390 | 34540.2 |
954 | 2022-01-12 21:41:31 | looker | 2 | 82551 | 140 | 2.720 | 30349.6 |
953 | 2022-01-12 03:31:20 | looker | 2 | 82551 | 140 | 2.530 | 32628.9 |
952 | 2022-01-11 09:54:45 | looker | 2 | 82551 | 140 | 2.250 | 36689.3 |
951 | 2022-01-10 23:15:52 | looker | 2 | 82551 | 140 | 2.686 | 30733.8 |
950 | 2022-01-10 11:25:30 | looker | 2 | 82551 | 140 | 2.173 | 37989.4 |
949 | 2022-01-09 21:03:15 | looker | 2 | 82551 | 140 | 2.500 | 33020.4 |
948 | 2022-01-09 09:44:14 | looker | 2 | 82551 | 140 | 2.170 | 38041.9 |
947 | 2022-01-08 18:06:39 | looker | 2 | 82551 | 140 | 2.530 | 32628.9 |