History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"nylons"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
947 | 2025-09-03 21:14:54 | nylons | 1 | 48755 | 3 | 0.733 | 66514.3 |
946 | 2025-08-25 15:32:52 | nylons | 1 | 48755 | 3 | 2.953 | 16510.3 |
945 | 2025-08-17 09:43:38 | nylons | 1 | 48755 | 3 | 2.110 | 23106.6 |
944 | 2025-08-17 03:48:26 | nylons | 1 | 48755 | 3 | 3.360 | 14510.4 |
943 | 2025-08-17 02:42:58 | nylons | 1 | 48755 | 3 | 1.513 | 32224.1 |
942 | 2025-08-15 13:41:20 | nylons | 3 | 112716 | 440 | 10.736 | 10498.9 |
941 | 2025-08-13 19:32:29 | nylons | 3 | 112716 | 440 | 28.440 | 3963.3 |
940 | 2025-08-10 20:11:24 | nylons | 3 | 112716 | 440 | 12.643 | 8915.3 |
939 | 2025-08-09 12:22:19 | nylons | 3 | 112716 | 440 | 39.253 | 2871.5 |
938 | 2025-08-07 12:14:00 | nylons | 3 | 112716 | 440 | 11.266 | 10005.0 |
937 | 2025-08-05 23:36:50 | nylons | 1 | 48755 | 3 | 2.140 | 22782.7 |
936 | 2025-08-04 15:43:34 | nylons | 1 | 48755 | 3 | 0.780 | 62506.4 |
935 | 2025-08-02 04:49:07 | nylons | 2 | 82551 | 27 | 5.500 | 15009.3 |
934 | 2025-07-31 19:05:25 | nylons | 1 | 48755 | 3 | 2.406 | 20263.9 |
933 | 2025-07-28 04:36:06 | nylons | 1 | 48755 | 3 | 1.826 | 26700.4 |
932 | 2025-07-26 21:44:11 | nylons | 1 | 48755 | 3 | 1.266 | 38511.1 |
931 | 2025-07-26 03:07:27 | nylons | 1 | 48755 | 3 | 0.856 | 56956.8 |
930 | 2025-07-24 07:19:33 | nylons | 1 | 48755 | 3 | 3.173 | 15365.6 |
929 | 2025-07-17 15:28:17 | nylons | 1 | 48755 | 3 | 2.563 | 19022.6 |
928 | 2025-07-11 07:27:41 | nylons | 3 | 112716 | 440 | 30.610 | 3682.3 |
927 | 2025-07-10 16:37:34 | nylons | 1 | 48755 | 3 | 3.186 | 15302.9 |
926 | 2025-07-09 03:16:26 | nylons | 1 | 48755 | 3 | 0.826 | 59025.4 |
925 | 2025-07-07 04:25:51 | nylons | 1 | 48755 | 3 | 3.796 | 12843.8 |
924 | 2025-06-28 07:37:34 | nylons | 2 | 82551 | 27 | 10.546 | 7827.7 |
923 | 2025-06-21 18:40:41 | nylons | 2 | 82551 | 27 | 2.453 | 33653.1 |
922 | 2025-06-19 20:54:11 | nylons | 3 | 112716 | 440 | 18.030 | 6251.6 |
921 | 2025-06-18 11:02:57 | nylons | 3 | 112716 | 440 | 19.250 | 5855.4 |
920 | 2025-06-13 10:30:43 | nylons | 1 | 48755 | 3 | 3.406 | 14314.4 |
919 | 2025-06-10 06:06:42 | nylons | 1 | 48755 | 3 | 4.063 | 11999.8 |
918 | 2025-06-09 09:40:41 | nylons | 3 | 112716 | 440 | 5.656 | 19928.6 |
917 | 2025-06-08 03:49:53 | nylons | 1 | 48755 | 3 | 4.500 | 10834.4 |
916 | 2025-06-07 08:49:51 | nylons | 3 | 112716 | 440 | 15.096 | 7466.6 |
915 | 2025-06-06 14:22:41 | nylons | 1 | 48755 | 3 | 3.826 | 12743.1 |
914 | 2025-06-06 01:04:14 | nylons | 3 | 112716 | 440 | 27.273 | 4132.9 |
913 | 2025-05-29 22:36:57 | nylons | 3 | 112716 | 440 | 5.563 | 20261.7 |
912 | 2025-05-26 10:05:02 | nylons | 1 | 48755 | 3 | 5.093 | 9572.9 |
911 | 2025-05-24 13:48:32 | nylons | 2 | 82551 | 27 | 15.906 | 5189.9 |
910 | 2025-05-23 03:28:28 | nylons | 1 | 48755 | 3 | 3.983 | 12240.8 |
909 | 2025-05-17 15:57:11 | nylons | 1 | 48755 | 3 | 0.736 | 66243.2 |
908 | 2025-05-13 04:24:59 | nylons | 1 | 48755 | 3 | 5.783 | 8430.7 |
907 | 2025-05-12 21:17:50 | nylons | 1 | 48755 | 3 | 3.626 | 13445.9 |
906 | 2025-05-12 11:47:56 | nylons | 1 | 48755 | 3 | 3.890 | 12533.4 |
905 | 2025-05-09 12:01:40 | nylons | 2 | 82551 | 27 | 2.373 | 34787.6 |
904 | 2025-05-09 11:59:39 | nylons | 3 | 112716 | 440 | 26.266 | 4291.3 |
903 | 2025-05-08 04:15:58 | nylons | 1 | 48755 | 3 | 5.936 | 8213.4 |
902 | 2025-05-06 20:43:28 | nylons | 3 | 112716 | 440 | 5.310 | 21227.1 |
901 | 2025-05-06 14:34:45 | nylons | 1 | 48755 | 3 | 5.843 | 8344.2 |
900 | 2025-05-06 06:29:03 | nylons | 1 | 48755 | 3 | 4.686 | 10404.4 |
899 | 2025-05-03 09:15:58 | nylons | 3 | 112716 | 440 | 17.440 | 6463.1 |
898 | 2025-05-01 20:19:47 | nylons | 1 | 48755 | 3 | 1.530 | 31866.0 |
897 | 2025-05-01 14:23:37 | nylons | 3 | 112716 | 440 | 25.326 | 4450.6 |
896 | 2025-04-29 14:47:22 | nylons | 3 | 112716 | 440 | 7.576 | 14878.0 |
895 | 2025-04-29 01:21:32 | nylons | 2 | 82551 | 27 | 2.466 | 33475.7 |
894 | 2025-04-27 05:20:44 | nylons | 2 | 82551 | 27 | 2.546 | 32423.8 |
893 | 2025-04-22 01:56:36 | nylons | 1 | 48755 | 3 | 0.750 | 65006.7 |
892 | 2025-04-20 02:03:07 | nylons | 1 | 48755 | 3 | 3.686 | 13227.1 |
891 | 2025-04-18 12:28:24 | nylons | 2 | 82551 | 27 | 12.483 | 6613.1 |
890 | 2025-04-16 19:47:24 | nylons | 2 | 82551 | 27 | 2.393 | 34496.9 |
889 | 2025-04-16 11:32:39 | nylons | 1 | 48755 | 3 | 4.376 | 11141.5 |
888 | 2025-04-16 00:03:30 | nylons | 1 | 48755 | 3 | 1.750 | 27860.0 |
887 | 2025-04-11 17:36:47 | nylons | 1 | 48755 | 3 | 4.156 | 11731.2 |
886 | 2025-04-06 04:48:28 | nylons | 1 | 48755 | 3 | 4.466 | 10916.9 |
885 | 2025-04-06 04:09:33 | nylons | 1 | 48755 | 3 | 4.233 | 11517.8 |
884 | 2025-04-03 01:04:33 | nylons | 3 | 112716 | 440 | 4.533 | 24865.7 |
883 | 2025-03-31 17:25:15 | nylons | 1 | 48755 | 3 | 1.970 | 24748.7 |
882 | 2025-03-20 14:08:33 | nylons | 2 | 82551 | 27 | 12.266 | 6730.1 |
881 | 2025-03-19 12:39:14 | nylons | 1 | 48755 | 3 | 0.703 | 69352.8 |
880 | 2025-03-19 10:45:22 | nylons | 1 | 48755 | 3 | 0.830 | 58741.0 |
879 | 2025-03-19 02:58:47 | nylons | 1 | 48755 | 3 | 0.796 | 61250.0 |
878 | 2025-03-06 18:25:51 | nylons | 1 | 48755 | 3 | 5.843 | 8344.2 |
877 | 2025-03-05 21:50:56 | nylons | 1 | 48755 | 3 | 2.936 | 16605.9 |
876 | 2025-03-05 06:15:06 | nylons | 3 | 112716 | 440 | 26.080 | 4321.9 |
875 | 2025-03-04 23:33:19 | nylons | 2 | 82551 | 27 | 11.920 | 6925.4 |
874 | 2025-03-04 23:32:46 | nylons | 3 | 112716 | 440 | 15.436 | 7302.2 |
873 | 2025-03-03 20:06:01 | nylons | 3 | 112716 | 440 | 24.686 | 4566.0 |
872 | 2025-03-03 20:05:59 | nylons | 2 | 82551 | 27 | 8.843 | 9335.2 |
871 | 2025-03-03 20:05:50 | nylons | 1 | 48755 | 3 | 2.063 | 23633.1 |
870 | 2025-03-01 04:37:54 | nylons | 1 | 48755 | 3 | 3.766 | 12946.1 |
869 | 2025-02-15 15:17:50 | nylons | 1 | 48755 | 3 | 1.716 | 28412.0 |
868 | 2025-02-07 00:49:45 | nylons | 1 | 48755 | 3 | 3.686 | 13227.1 |
867 | 2025-01-27 15:56:48 | nylons | 1 | 48755 | 3 | 3.390 | 14382.0 |
866 | 2025-01-23 21:54:48 | nylons | 1 | 48755 | 3 | 6.156 | 7919.9 |
865 | 2025-01-12 21:10:24 | nylons | 2 | 82551 | 27 | 7.063 | 11687.8 |
864 | 2025-01-02 14:48:08 | nylons | 1 | 48755 | 3 | 2.160 | 22571.8 |
863 | 2024-12-28 11:22:50 | nylons | 1 | 48755 | 3 | 4.783 | 10193.4 |
862 | 2024-12-27 09:18:32 | nylons | 1 | 48755 | 3 | 2.796 | 17437.4 |
861 | 2024-12-15 11:20:53 | nylons | 1 | 48755 | 3 | 1.906 | 25579.7 |
860 | 2024-12-01 15:32:23 | nylons | 2 | 82551 | 27 | 8.466 | 9750.9 |
859 | 2024-11-29 14:53:55 | nylons | 1 | 48755 | 3 | 1.923 | 25353.6 |
858 | 2024-11-28 03:31:57 | nylons | 1 | 48755 | 3 | 2.173 | 22436.7 |
857 | 2024-11-27 05:06:52 | nylons | 1 | 48755 | 3 | 2.436 | 20014.4 |
856 | 2024-11-11 03:30:04 | nylons | 2 | 82551 | 27 | 7.343 | 11242.1 |
855 | 2024-11-11 03:29:31 | nylons | 3 | 112716 | 440 | 6.890 | 16359.4 |
854 | 2024-11-10 21:17:42 | nylons | 3 | 112716 | 440 | 23.480 | 4800.5 |
853 | 2024-11-10 13:47:15 | nylons | 3 | 112716 | 440 | 5.330 | 21147.5 |
852 | 2024-11-10 13:47:16 | nylons | 2 | 82551 | 27 | 2.470 | 33421.5 |
851 | 2024-11-10 09:16:06 | nylons | 1 | 48755 | 3 | 0.750 | 65006.7 |
850 | 2024-10-30 14:09:55 | nylons | 1 | 48755 | 3 | 0.810 | 60191.4 |
849 | 2024-10-25 22:14:49 | nylons | 1 | 48755 | 3 | 3.016 | 16165.5 |
848 | 2024-10-20 08:40:46 | nylons | 1 | 48755 | 3 | 5.470 | 8913.2 |