History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"slab"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1007 | 2025-05-08 20:55:28 | slab | 1 | 13983 | 17 | 1.143 | 12233.6 |
1006 | 2025-05-05 12:14:00 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 |
1005 | 2025-05-02 12:29:57 | slab | 1 | 13983 | 17 | 1.340 | 10435.1 |
1004 | 2025-05-01 00:57:49 | slab | 1 | 13983 | 17 | 1.623 | 8615.5 |
1003 | 2025-04-30 05:32:06 | slab | 1 | 13983 | 17 | 1.110 | 12597.3 |
1002 | 2025-04-27 01:31:04 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
1001 | 2025-04-23 12:27:25 | slab | 1 | 13983 | 17 | 1.360 | 10281.6 |
1000 | 2025-04-20 14:42:09 | slab | 1 | 13983 | 17 | 1.936 | 7222.6 |
999 | 2025-04-16 09:10:19 | slab | 1 | 13983 | 17 | 1.266 | 11045.0 |
998 | 2025-04-14 17:00:37 | slab | 1 | 13983 | 17 | 1.330 | 10513.5 |
997 | 2025-04-13 01:56:50 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
996 | 2025-04-06 09:03:58 | slab | 1 | 13983 | 17 | 1.000 | 13983.0 |
995 | 2025-03-31 02:31:10 | slab | 1 | 13983 | 17 | 1.576 | 8872.5 |
994 | 2025-03-29 06:46:49 | slab | 1 | 13983 | 17 | 1.250 | 11186.4 |
993 | 2025-03-23 14:54:08 | slab | 1 | 13983 | 17 | 0.670 | 20870.1 |
992 | 2025-03-20 17:46:04 | slab | 1 | 13983 | 17 | 1.110 | 12597.3 |
991 | 2025-03-14 21:03:49 | slab | 1 | 13983 | 17 | 0.626 | 22337.1 |
990 | 2025-03-10 20:18:17 | slab | 1 | 13983 | 17 | 0.826 | 16928.6 |
989 | 2025-03-06 23:28:09 | slab | 2 | 29872 | 223 | 4.530 | 6594.3 |
988 | 2025-03-06 23:18:31 | slab | 1 | 13983 | 17 | 0.936 | 14939.1 |
987 | 2025-02-26 02:38:42 | slab | 1 | 13983 | 17 | 1.623 | 8615.5 |
986 | 2025-02-26 02:15:31 | slab | 1 | 13983 | 17 | 0.623 | 22444.6 |
985 | 2025-02-25 12:46:49 | slab | 2 | 29872 | 223 | 2.453 | 12177.7 |
984 | 2025-02-25 09:36:42 | slab | 2 | 29872 | 223 | 2.500 | 11948.8 |
983 | 2025-02-25 08:32:05 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 |
982 | 2025-02-16 07:24:01 | slab | 1 | 13983 | 17 | 1.326 | 10545.2 |
981 | 2025-02-06 05:27:21 | slab | 1 | 13983 | 17 | 0.280 | 49939.3 |
980 | 2025-02-05 05:34:00 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
979 | 2025-02-04 19:03:24 | slab | 2 | 29872 | 223 | 4.360 | 6851.4 |
978 | 2025-02-04 18:43:50 | slab | 1 | 13983 | 17 | 0.690 | 20265.2 |
977 | 2025-01-26 12:01:04 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
976 | 2025-01-26 02:46:49 | slab | 2 | 29872 | 223 | 4.750 | 6288.8 |
975 | 2025-01-26 00:53:50 | slab | 2 | 29872 | 223 | 5.936 | 5032.3 |
974 | 2025-01-26 00:41:12 | slab | 1 | 13983 | 17 | 0.953 | 14672.6 |
973 | 2025-01-19 13:15:25 | slab | 2 | 29872 | 223 | 2.030 | 14715.3 |
972 | 2025-01-12 00:57:38 | slab | 1 | 13983 | 17 | 1.406 | 9945.2 |
971 | 2025-01-05 18:44:14 | slab | 2 | 29872 | 223 | 3.220 | 9277.0 |
970 | 2025-01-05 18:37:14 | slab | 1 | 13983 | 17 | 1.030 | 13575.7 |
969 | 2024-12-31 22:09:55 | slab | 1 | 13983 | 17 | 1.280 | 10924.2 |
968 | 2024-12-27 05:27:03 | slab | 1 | 13983 | 17 | 0.220 | 63559.1 |
967 | 2024-12-26 20:12:40 | slab | 2 | 29872 | 223 | 4.170 | 7163.5 |
966 | 2024-12-26 20:09:39 | slab | 1 | 13983 | 17 | 2.000 | 6991.5 |
965 | 2024-12-11 16:44:18 | slab | 1 | 13983 | 17 | 0.516 | 27098.8 |
964 | 2024-12-11 13:18:27 | slab | 1 | 13983 | 17 | 1.173 | 11920.7 |
963 | 2024-12-06 13:12:15 | slab | 2 | 29872 | 223 | 6.220 | 4802.6 |
962 | 2024-12-06 12:41:45 | slab | 1 | 13983 | 17 | 0.580 | 24108.6 |
961 | 2024-11-28 09:22:09 | slab | 2 | 29872 | 223 | 4.686 | 6374.7 |
960 | 2024-11-27 03:14:55 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
959 | 2024-11-27 01:50:31 | slab | 2 | 29872 | 223 | 4.763 | 6271.7 |
958 | 2024-11-26 20:02:46 | slab | 2 | 29872 | 223 | 6.203 | 4815.7 |
957 | 2024-11-26 20:01:55 | slab | 1 | 13983 | 17 | 0.376 | 37188.8 |
956 | 2024-11-11 17:34:12 | slab | 2 | 29872 | 223 | 4.250 | 7028.7 |
955 | 2024-11-11 03:33:08 | slab | 1 | 13983 | 17 | 0.266 | 52567.7 |
954 | 2024-11-06 08:35:21 | slab | 2 | 29872 | 223 | 4.110 | 7268.1 |
953 | 2024-11-06 08:17:54 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
952 | 2024-10-27 23:55:27 | slab | 1 | 13983 | 17 | 0.263 | 53167.3 |
951 | 2024-10-27 20:41:57 | slab | 2 | 29872 | 223 | 3.953 | 7556.8 |
950 | 2024-10-27 20:40:08 | slab | 1 | 13983 | 17 | 1.156 | 12096.0 |
949 | 2024-10-27 07:01:07 | slab | 1 | 13983 | 17 | 0.296 | 47239.9 |
948 | 2024-10-25 19:44:38 | slab | 1 | 13983 | 17 | 1.126 | 12418.3 |
947 | 2024-10-12 03:20:18 | slab | 1 | 13983 | 17 | 0.280 | 49939.3 |
946 | 2024-10-08 07:22:38 | slab | 2 | 29872 | 223 | 3.233 | 9239.7 |
945 | 2024-10-07 09:10:58 | slab | 1 | 13983 | 17 | 1.186 | 11790.1 |
944 | 2024-09-27 23:26:40 | slab | 2 | 29872 | 223 | 6.266 | 4767.3 |
943 | 2024-09-27 23:14:12 | slab | 1 | 13983 | 17 | 2.576 | 5428.2 |
942 | 2024-09-27 18:29:28 | slab | 2 | 29872 | 223 | 6.143 | 4862.8 |
941 | 2024-09-27 18:28:10 | slab | 1 | 13983 | 17 | 1.780 | 7855.6 |
940 | 2024-09-26 07:54:41 | slab | 2 | 29872 | 223 | 6.843 | 4365.3 |
939 | 2024-09-15 15:34:58 | slab | 1 | 13983 | 17 | 0.673 | 20777.1 |
938 | 2024-09-09 03:56:43 | slab | 1 | 13983 | 17 | 0.280 | 49939.3 |
937 | 2024-09-07 06:45:22 | slab | 2 | 29872 | 223 | 3.343 | 8935.7 |
936 | 2024-09-07 06:42:06 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 |
935 | 2024-08-30 03:36:25 | slab | 1 | 13983 | 17 | 1.093 | 12793.2 |
934 | 2024-08-28 19:02:35 | slab | 2 | 29872 | 223 | 7.516 | 3974.5 |
933 | 2024-08-28 18:47:29 | slab | 2 | 29872 | 223 | 5.563 | 5369.8 |
932 | 2024-08-28 17:40:07 | slab | 1 | 13983 | 17 | 0.220 | 63559.1 |
931 | 2024-08-28 17:01:10 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
930 | 2024-08-11 01:34:52 | slab | 1 | 13983 | 17 | 0.280 | 49939.3 |
929 | 2024-08-09 16:20:08 | slab | 1 | 13983 | 17 | 1.250 | 11186.4 |
928 | 2024-08-08 00:23:03 | slab | 2 | 29872 | 223 | 4.546 | 6571.1 |
927 | 2024-08-08 00:20:59 | slab | 1 | 13983 | 17 | 0.750 | 18644.0 |
926 | 2024-08-07 01:05:52 | slab | 1 | 13983 | 17 | 0.300 | 46610.0 |
925 | 2024-08-02 02:27:29 | slab | 2 | 29872 | 223 | 4.716 | 6334.2 |
924 | 2024-08-02 02:12:19 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
923 | 2024-07-29 15:35:35 | slab | 1 | 13983 | 17 | 0.640 | 21848.4 |
922 | 2024-07-29 07:39:35 | slab | 1 | 13983 | 17 | 1.000 | 13983.0 |
921 | 2024-07-29 04:25:58 | slab | 2 | 29872 | 223 | 1.500 | 19914.7 |
920 | 2024-07-29 04:05:17 | slab | 2 | 29872 | 223 | 5.546 | 5386.2 |
919 | 2024-07-29 03:37:17 | slab | 1 | 13983 | 17 | 0.280 | 49939.3 |
918 | 2024-07-29 01:24:59 | slab | 2 | 29872 | 223 | 2.873 | 10397.5 |
917 | 2024-07-28 17:55:07 | slab | 1 | 13983 | 17 | 0.703 | 19890.5 |
916 | 2024-07-10 01:36:08 | slab | 1 | 13983 | 17 | 0.266 | 52567.7 |
915 | 2024-07-07 09:58:49 | slab | 1 | 13983 | 17 | 0.906 | 15433.8 |
914 | 2024-07-02 23:24:18 | slab | 1 | 13983 | 17 | 0.530 | 26383.0 |
913 | 2024-06-30 21:18:34 | slab | 1 | 13983 | 17 | 0.266 | 52567.7 |
912 | 2024-06-29 13:57:21 | slab | 1 | 13983 | 17 | 1.203 | 11623.4 |
911 | 2024-06-28 15:00:20 | slab | 1 | 13983 | 17 | 0.720 | 19420.8 |
910 | 2024-06-28 05:58:15 | slab | 1 | 13983 | 17 | 1.296 | 10789.4 |
909 | 2024-06-25 20:05:48 | slab | 1 | 13983 | 17 | 0.283 | 49409.9 |
908 | 2024-06-25 19:30:25 | slab | 1 | 13983 | 17 | 0.263 | 53167.3 |