History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"kobs"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1074 | 2024-04-26 16:13:14 | kobs | 1 | 13983 | 24 | 0.250 | 55932.0 |
1073 | 2024-04-26 02:54:28 | kobs | 1 | 13983 | 24 | 0.250 | 55932.0 |
1072 | 2024-04-05 06:51:38 | kobs | 2 | 29872 | 334 | 2.860 | 10444.8 |
1071 | 2024-04-01 17:38:53 | kobs | 2 | 29872 | 334 | 1.220 | 24485.2 |
1070 | 2024-04-01 16:23:29 | kobs | 1 | 13983 | 24 | 0.826 | 16928.6 |
1069 | 2024-03-31 00:14:08 | kobs | 1 | 13983 | 24 | 0.293 | 47723.5 |
1068 | 2024-03-30 09:46:23 | kobs | 2 | 29872 | 334 | 1.080 | 27659.3 |
1067 | 2024-03-30 09:46:05 | kobs | 1 | 13983 | 24 | 0.266 | 52567.7 |
1066 | 2024-03-27 08:09:39 | kobs | 1 | 13983 | 24 | 0.266 | 52567.7 |
1065 | 2024-03-02 20:34:29 | kobs | 1 | 13983 | 24 | 0.236 | 59250.0 |
1064 | 2024-03-02 13:57:06 | kobs | 1 | 13983 | 24 | 0.546 | 25609.9 |
1063 | 2024-02-27 17:25:19 | kobs | 2 | 29872 | 334 | 1.873 | 15948.7 |
1062 | 2024-02-26 03:49:47 | kobs | 2 | 29872 | 334 | 0.983 | 30388.6 |
1061 | 2024-02-26 03:42:07 | kobs | 1 | 13983 | 24 | 0.513 | 27257.3 |
1060 | 2024-02-01 22:44:43 | kobs | 1 | 13983 | 24 | 0.220 | 63559.1 |
1059 | 2024-01-27 02:06:33 | kobs | 1 | 13983 | 24 | 0.233 | 60012.9 |
1058 | 2023-12-31 17:26:59 | kobs | 2 | 29872 | 334 | 0.796 | 37527.6 |
1057 | 2023-12-15 22:10:28 | kobs | 2 | 29872 | 334 | 0.890 | 33564.0 |
1056 | 2023-12-09 01:24:24 | kobs | 2 | 29872 | 334 | 0.720 | 41488.9 |
1055 | 2023-11-26 12:10:40 | kobs | 1 | 13983 | 24 | 0.203 | 68881.8 |
1054 | 2023-11-22 16:01:23 | kobs | 2 | 29872 | 334 | 0.860 | 34734.9 |
1053 | 2023-11-20 02:02:47 | kobs | 1 | 13983 | 24 | 0.203 | 68881.8 |
1052 | 2023-11-14 03:54:29 | kobs | 1 | 13983 | 24 | 0.203 | 68881.8 |
1051 | 2023-11-09 05:59:34 | kobs | 1 | 13983 | 24 | 0.216 | 64736.1 |
1050 | 2023-11-07 11:00:57 | kobs | 1 | 13983 | 24 | 0.546 | 25609.9 |
1049 | 2023-11-07 11:00:56 | kobs | 1 | 13983 | 24 | 0.563 | 24836.6 |
1048 | 2023-10-31 18:58:14 | kobs | 1 | 13983 | 24 | 0.250 | 55932.0 |
1047 | 2023-10-29 00:55:54 | kobs | 1 | 13983 | 24 | 0.220 | 63559.1 |
1046 | 2023-10-29 00:20:04 | kobs | 2 | 29872 | 334 | 0.733 | 40753.1 |
1045 | 2023-10-19 21:10:03 | kobs | 1 | 13983 | 24 | 0.236 | 59250.0 |
1044 | 2023-10-18 17:35:50 | kobs | 1 | 13983 | 24 | 0.236 | 59250.0 |
1043 | 2023-10-13 08:55:23 | kobs | 1 | 13983 | 24 | 0.203 | 68881.8 |
1042 | 2023-10-05 04:41:42 | kobs | 1 | 13983 | 24 | 0.203 | 68881.8 |
1041 | 2023-09-22 18:57:44 | kobs | 1 | 13983 | 24 | 0.233 | 60012.9 |
1040 | 2023-09-15 21:01:53 | kobs | 1 | 13983 | 24 | 0.233 | 60012.9 |
1039 | 2023-09-12 13:18:50 | kobs | 1 | 13983 | 24 | 0.220 | 63559.1 |
1038 | 2023-09-06 07:34:48 | kobs | 2 | 29872 | 334 | 0.813 | 36742.9 |
1037 | 2023-08-26 09:30:16 | kobs | 2 | 29872 | 334 | 0.750 | 39829.3 |
1036 | 2023-08-03 09:24:44 | kobs | 1 | 13983 | 24 | 0.220 | 63559.1 |
1035 | 2023-06-21 18:24:35 | kobs | 1 | 13983 | 24 | 0.203 | 68881.8 |
1034 | 2023-05-21 14:25:55 | kobs | 2 | 29872 | 334 | 0.750 | 39829.3 |
1033 | 2023-05-12 08:14:40 | kobs | 2 | 29872 | 334 | 0.733 | 40753.1 |
1032 | 2023-04-22 05:31:33 | kobs | 1 | 13983 | 24 | 0.203 | 68881.8 |
1031 | 2023-04-06 00:47:10 | kobs | 1 | 13983 | 24 | 0.203 | 68881.8 |
1030 | 2023-03-27 06:47:16 | kobs | 2 | 29872 | 334 | 0.733 | 40753.1 |
1029 | 2023-02-25 01:07:32 | kobs | 2 | 29872 | 334 | 0.720 | 41488.9 |
1028 | 2023-01-21 12:58:53 | kobs | 1 | 13983 | 24 | 0.233 | 60012.9 |
1027 | 2023-01-02 22:07:32 | kobs | 2 | 29872 | 334 | 0.846 | 35309.7 |
1026 | 2023-01-02 08:52:04 | kobs | 1 | 13983 | 24 | 0.250 | 55932.0 |
1025 | 2022-12-31 15:37:52 | kobs | 2 | 29872 | 334 | 0.703 | 42492.2 |
1024 | 2022-12-05 11:55:03 | kobs | 2 | 29872 | 334 | 0.720 | 41488.9 |
1023 | 2022-11-19 05:17:46 | kobs | 1 | 13983 | 24 | 0.203 | 68881.8 |
1022 | 2022-09-18 20:07:03 | kobs | 1 | 13983 | 24 | 0.220 | 63559.1 |
1021 | 2022-09-10 17:13:07 | kobs | 1 | 13983 | 24 | 0.233 | 60012.9 |
1020 | 2022-08-31 20:37:16 | kobs | 1 | 13983 | 24 | 0.220 | 63559.1 |
1019 | 2022-08-15 21:26:06 | kobs | 1 | 13983 | 24 | 0.216 | 64736.1 |
1018 | 2022-07-30 07:29:53 | kobs | 1 | 13983 | 24 | 0.216 | 64736.1 |
1017 | 2022-07-18 13:32:26 | kobs | 1 | 13983 | 24 | 0.220 | 63559.1 |
1016 | 2022-07-10 12:12:15 | kobs | 1 | 13983 | 24 | 0.216 | 64736.1 |
1015 | 2022-07-10 03:07:44 | kobs | 1 | 13983 | 24 | 0.233 | 60012.9 |
1014 | 2022-07-08 07:03:20 | kobs | 1 | 13983 | 24 | 0.203 | 68881.8 |
1013 | 2022-07-06 18:27:18 | kobs | 1 | 13983 | 24 | 0.216 | 64736.1 |
1012 | 2022-06-16 22:45:43 | kobs | 1 | 13983 | 24 | 0.216 | 64736.1 |
1011 | 2022-06-16 05:50:48 | kobs | 1 | 13983 | 24 | 0.203 | 68881.8 |
1010 | 2022-06-09 00:55:12 | kobs | 1 | 13983 | 24 | 0.220 | 63559.1 |
1009 | 2022-06-01 19:00:42 | kobs | 1 | 13983 | 24 | 0.203 | 68881.8 |
1008 | 2022-06-01 15:01:42 | kobs | 1 | 13983 | 24 | 0.220 | 63559.1 |
1007 | 2022-04-12 10:06:52 | kobs | 2 | 29872 | 334 | 1.000 | 29872.0 |
1006 | 2022-03-10 21:26:31 | kobs | 1 | 13983 | 24 | 0.263 | 53167.3 |
1005 | 2022-02-25 12:54:02 | kobs | 1 | 13983 | 24 | 0.313 | 44674.1 |
1004 | 2022-01-23 13:14:42 | kobs | 1 | 13983 | 24 | 0.250 | 55932.0 |
1003 | 2022-01-22 21:36:49 | kobs | 1 | 13983 | 24 | 0.250 | 55932.0 |
1002 | 2022-01-22 06:59:08 | kobs | 1 | 13983 | 24 | 0.250 | 55932.0 |
1001 | 2022-01-21 14:03:44 | kobs | 1 | 13983 | 24 | 0.236 | 59250.0 |
1000 | 2022-01-21 03:47:43 | kobs | 1 | 13983 | 24 | 0.233 | 60012.9 |
999 | 2022-01-20 17:05:51 | kobs | 1 | 13983 | 24 | 0.250 | 55932.0 |
998 | 2022-01-20 09:22:16 | kobs | 1 | 13983 | 24 | 0.216 | 64736.1 |
997 | 2022-01-19 16:14:35 | kobs | 1 | 13983 | 24 | 0.250 | 55932.0 |
996 | 2022-01-19 00:18:34 | kobs | 1 | 13983 | 24 | 0.253 | 55268.8 |
995 | 2022-01-18 13:52:36 | kobs | 1 | 13983 | 24 | 0.483 | 28950.3 |
994 | 2022-01-18 00:28:47 | kobs | 1 | 13983 | 24 | 0.360 | 38841.7 |
993 | 2022-01-13 04:26:04 | kobs | 1 | 13983 | 24 | 0.220 | 63559.1 |
992 | 2022-01-12 19:33:51 | kobs | 1 | 13983 | 24 | 0.236 | 59250.0 |
991 | 2022-01-12 02:44:53 | kobs | 1 | 13983 | 24 | 0.220 | 63559.1 |
990 | 2022-01-11 12:51:33 | kobs | 1 | 13983 | 24 | 0.250 | 55932.0 |
989 | 2022-01-10 21:51:47 | kobs | 1 | 13983 | 24 | 0.236 | 59250.0 |
988 | 2022-01-10 10:48:31 | kobs | 1 | 13983 | 24 | 0.250 | 55932.0 |
987 | 2022-01-09 14:52:36 | kobs | 1 | 13983 | 24 | 0.250 | 55932.0 |
986 | 2021-12-31 21:30:09 | kobs | 1 | 13983 | 24 | 0.500 | 27966.0 |
985 | 2021-12-31 10:37:58 | kobs | 1 | 13983 | 24 | 0.233 | 60012.9 |
984 | 2021-12-30 21:27:57 | kobs | 1 | 13983 | 24 | 0.233 | 60012.9 |
983 | 2021-12-30 03:26:22 | kobs | 1 | 13983 | 24 | 0.250 | 55932.0 |
982 | 2021-12-29 20:22:36 | kobs | 1 | 13983 | 24 | 0.500 | 27966.0 |
981 | 2021-12-29 09:06:24 | kobs | 1 | 13983 | 24 | 0.233 | 60012.9 |
980 | 2021-12-28 19:50:24 | kobs | 1 | 13983 | 24 | 0.216 | 64736.1 |
979 | 2021-12-28 01:30:01 | kobs | 1 | 13983 | 24 | 0.250 | 55932.0 |
978 | 2021-12-27 16:08:07 | kobs | 1 | 13983 | 24 | 0.233 | 60012.9 |
977 | 2021-12-26 17:51:12 | kobs | 1 | 13983 | 24 | 0.250 | 55932.0 |
976 | 2021-12-26 06:43:11 | kobs | 1 | 13983 | 24 | 0.266 | 52567.7 |
975 | 2021-12-25 14:18:33 | kobs | 1 | 13983 | 24 | 0.250 | 55932.0 |