History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"predisposes"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1042 | 2025-06-26 07:07:00 | predisposes | 4 | 148819 | 90 | 59.126 | 2517.0 |
1041 | 2025-06-25 07:38:40 | predisposes | 1 | 49908 | 4 | 4.656 | 10719.1 |
1040 | 2025-06-24 10:35:53 | predisposes | 1 | 49908 | 4 | 6.783 | 7357.8 |
1039 | 2025-06-09 12:47:15 | predisposes | 1 | 49908 | 4 | 0.903 | 55269.1 |
1038 | 2025-06-06 11:54:45 | predisposes | 4 | 148819 | 90 | 24.940 | 5967.1 |
1037 | 2025-06-04 16:51:02 | predisposes | 1 | 49908 | 4 | 3.970 | 12571.3 |
1036 | 2025-06-03 03:59:33 | predisposes | 4 | 148819 | 90 | 57.740 | 2577.4 |
1035 | 2025-05-30 08:49:22 | predisposes | 1 | 49908 | 4 | 2.106 | 23698.0 |
1034 | 2025-05-30 07:21:34 | predisposes | 4 | 148819 | 90 | 46.690 | 3187.4 |
1033 | 2025-05-29 02:56:10 | predisposes | 4 | 148819 | 90 | 39.623 | 3755.9 |
1032 | 2025-05-27 23:33:36 | predisposes | 4 | 148819 | 90 | 10.360 | 14364.8 |
1031 | 2025-05-27 12:22:00 | predisposes | 4 | 148819 | 90 | 45.016 | 3305.9 |
1030 | 2025-05-26 21:59:47 | predisposes | 3 | 121633 | 19 | 27.673 | 4395.4 |
1029 | 2025-05-25 11:21:59 | predisposes | 2 | 86808 | 7 | 6.456 | 13446.1 |
1028 | 2025-05-23 16:42:29 | predisposes | 1 | 49908 | 4 | 2.640 | 18904.5 |
1027 | 2025-05-23 09:45:06 | predisposes | 1 | 49908 | 4 | 0.986 | 50616.6 |
1026 | 2025-05-17 19:32:18 | predisposes | 2 | 86808 | 7 | 2.420 | 35871.1 |
1025 | 2025-05-17 11:42:56 | predisposes | 3 | 121633 | 19 | 42.860 | 2837.9 |
1024 | 2025-05-16 03:26:20 | predisposes | 1 | 49908 | 4 | 4.000 | 12477.0 |
1023 | 2025-05-11 09:58:19 | predisposes | 1 | 49908 | 4 | 4.470 | 11165.1 |
1022 | 2025-05-11 06:13:28 | predisposes | 1 | 49908 | 4 | 3.440 | 14508.1 |
1021 | 2025-05-08 08:29:04 | predisposes | 3 | 121633 | 19 | 24.330 | 4999.3 |
1020 | 2025-05-06 21:13:40 | predisposes | 4 | 148819 | 90 | 9.173 | 16223.6 |
1019 | 2025-05-02 19:25:20 | predisposes | 1 | 49908 | 4 | 0.906 | 55086.1 |
1018 | 2025-05-01 07:49:10 | predisposes | 1 | 49908 | 4 | 0.906 | 55086.1 |
1017 | 2025-04-26 11:09:42 | predisposes | 4 | 148819 | 90 | 55.286 | 2691.8 |
1016 | 2025-04-24 03:18:11 | predisposes | 4 | 148819 | 90 | 57.363 | 2594.3 |
1015 | 2025-04-22 11:04:59 | predisposes | 3 | 121633 | 19 | 10.076 | 12071.6 |
1014 | 2025-04-18 04:20:20 | predisposes | 3 | 121633 | 19 | 30.213 | 4025.8 |
1013 | 2025-04-17 01:56:00 | predisposes | 2 | 86808 | 7 | 2.296 | 37808.4 |
1012 | 2025-04-12 08:45:22 | predisposes | 4 | 148819 | 90 | 47.143 | 3156.8 |
1011 | 2025-04-12 03:59:26 | predisposes | 2 | 86808 | 7 | 6.423 | 13515.2 |
1010 | 2025-04-10 17:50:41 | predisposes | 3 | 121633 | 19 | 5.826 | 20877.6 |
1009 | 2025-03-25 19:46:34 | predisposes | 1 | 49908 | 4 | 3.766 | 13252.3 |
1008 | 2025-03-23 16:36:25 | predisposes | 2 | 86808 | 7 | 8.266 | 10501.8 |
1007 | 2025-03-23 07:08:53 | predisposes | 3 | 121633 | 19 | 34.736 | 3501.6 |
1006 | 2025-03-22 09:57:31 | predisposes | 1 | 49908 | 4 | 0.890 | 56076.4 |
1005 | 2025-03-20 15:08:57 | predisposes | 4 | 148819 | 90 | 63.910 | 2328.6 |
1004 | 2025-03-19 04:27:26 | predisposes | 4 | 148819 | 90 | 8.483 | 17543.2 |
1003 | 2025-03-17 23:57:47 | predisposes | 4 | 148819 | 90 | 57.363 | 2594.3 |
1002 | 2025-03-13 22:00:50 | predisposes | 1 | 49908 | 4 | 4.330 | 11526.1 |
1001 | 2025-03-13 02:37:51 | predisposes | 4 | 148819 | 90 | 56.473 | 2635.2 |
1000 | 2025-03-05 08:47:51 | predisposes | 3 | 121633 | 19 | 22.843 | 5324.7 |
999 | 2025-03-05 08:47:46 | predisposes | 2 | 86808 | 7 | 9.513 | 9125.2 |
998 | 2025-03-05 08:46:50 | predisposes | 1 | 49908 | 4 | 4.826 | 10341.5 |
997 | 2025-03-05 08:44:33 | predisposes | 4 | 148819 | 90 | 59.910 | 2484.0 |
996 | 2025-03-03 13:36:37 | predisposes | 4 | 148819 | 90 | 58.970 | 2523.6 |
995 | 2025-02-19 06:15:03 | predisposes | 3 | 121633 | 19 | 14.720 | 8263.1 |
994 | 2025-02-19 06:14:56 | predisposes | 2 | 86808 | 7 | 14.126 | 6145.3 |
993 | 2025-02-19 06:12:51 | predisposes | 1 | 49908 | 4 | 2.203 | 22654.6 |
992 | 2025-02-16 16:52:15 | predisposes | 1 | 49908 | 4 | 3.343 | 14929.1 |
991 | 2025-02-13 11:51:41 | predisposes | 3 | 121633 | 19 | 26.876 | 4525.7 |
990 | 2025-02-12 09:47:34 | predisposes | 3 | 121633 | 19 | 33.470 | 3634.1 |
989 | 2025-02-12 09:47:33 | predisposes | 2 | 86808 | 7 | 11.580 | 7496.4 |
988 | 2025-02-12 08:56:10 | predisposes | 4 | 148819 | 90 | 44.596 | 3337.0 |
987 | 2025-02-11 23:08:29 | predisposes | 4 | 148819 | 90 | 61.926 | 2403.2 |
986 | 2025-02-11 23:08:20 | predisposes | 4 | 148819 | 90 | 49.096 | 3031.2 |
985 | 2025-02-10 15:04:36 | predisposes | 3 | 121633 | 19 | 24.580 | 4948.5 |
984 | 2025-02-09 00:33:59 | predisposes | 4 | 148819 | 90 | 50.453 | 2949.7 |
983 | 2025-02-09 00:34:11 | predisposes | 3 | 121633 | 19 | 34.860 | 3489.2 |
982 | 2025-02-09 00:34:11 | predisposes | 2 | 86808 | 7 | 13.050 | 6652.0 |
981 | 2025-02-08 03:32:23 | predisposes | 3 | 121633 | 19 | 25.690 | 4734.6 |
980 | 2025-02-07 16:08:38 | predisposes | 5 | 164607 | 528 | 82.690 | 1990.7 |
979 | 2025-02-07 12:32:19 | predisposes | 1 | 49908 | 4 | 3.860 | 12929.5 |
978 | 2025-02-04 03:11:00 | predisposes | 1 | 49908 | 4 | 6.360 | 7847.2 |
977 | 2025-01-21 22:15:33 | predisposes | 5 | 164607 | 528 | 76.990 | 2138.0 |
976 | 2025-01-15 18:32:40 | predisposes | 3 | 121633 | 19 | 47.110 | 2581.9 |
975 | 2025-01-15 18:32:42 | predisposes | 2 | 86808 | 7 | 18.190 | 4772.3 |
974 | 2025-01-15 18:29:06 | predisposes | 1 | 49908 | 4 | 3.670 | 13598.9 |
973 | 2025-01-12 13:43:52 | predisposes | 5 | 164607 | 528 | 82.270 | 2000.8 |
972 | 2025-01-12 05:36:57 | predisposes | 5 | 164607 | 528 | 94.723 | 1737.8 |
971 | 2025-01-12 05:34:54 | predisposes | 1 | 49908 | 4 | 2.810 | 17760.9 |
970 | 2025-01-12 05:28:30 | predisposes | 3 | 121633 | 19 | 27.986 | 4346.2 |
969 | 2025-01-12 05:28:30 | predisposes | 2 | 86808 | 7 | 13.063 | 6645.3 |
968 | 2025-01-07 13:31:07 | predisposes | 2 | 86808 | 7 | 6.140 | 14138.1 |
967 | 2025-01-07 13:30:31 | predisposes | 1 | 49908 | 4 | 1.390 | 35905.0 |
966 | 2025-01-07 13:20:22 | predisposes | 3 | 121633 | 19 | 27.313 | 4453.3 |
965 | 2025-01-03 22:07:49 | predisposes | 3 | 121633 | 19 | 37.533 | 3240.7 |
964 | 2025-01-03 22:07:44 | predisposes | 4 | 148819 | 90 | 29.453 | 5052.8 |
963 | 2025-01-03 22:07:45 | predisposes | 2 | 86808 | 7 | 10.940 | 7934.9 |
962 | 2025-01-03 22:04:52 | predisposes | 1 | 49908 | 4 | 1.156 | 43173.0 |
961 | 2024-12-29 21:57:26 | predisposes | 4 | 148819 | 90 | 68.130 | 2184.3 |
960 | 2024-12-25 07:40:27 | predisposes | 4 | 148819 | 90 | 42.800 | 3477.1 |
959 | 2024-12-24 06:34:48 | predisposes | 4 | 148819 | 90 | 77.553 | 1918.9 |
958 | 2024-12-24 06:31:14 | predisposes | 4 | 148819 | 90 | 60.643 | 2454.0 |
957 | 2024-12-22 06:21:11 | predisposes | 4 | 148819 | 90 | 61.596 | 2416.0 |
956 | 2024-12-15 00:00:10 | predisposes | 1 | 49908 | 4 | 5.563 | 8971.4 |
955 | 2024-12-13 17:04:04 | predisposes | 3 | 121633 | 19 | 27.706 | 4390.1 |
954 | 2024-12-13 01:52:56 | predisposes | 2 | 86808 | 7 | 12.876 | 6741.8 |
953 | 2024-12-13 01:51:38 | predisposes | 1 | 49908 | 4 | 4.296 | 11617.3 |
952 | 2024-12-07 20:34:34 | predisposes | 3 | 121633 | 19 | 26.190 | 4644.3 |
951 | 2024-12-01 20:39:12 | predisposes | 3 | 121633 | 19 | 36.046 | 3374.4 |
950 | 2024-12-01 11:47:34 | predisposes | 2 | 86808 | 7 | 18.203 | 4768.9 |
949 | 2024-12-01 11:46:45 | predisposes | 1 | 49908 | 4 | 3.953 | 12625.3 |
948 | 2024-12-01 11:37:38 | predisposes | 3 | 121633 | 19 | 26.483 | 4592.9 |
947 | 2024-11-30 06:35:15 | predisposes | 4 | 148819 | 90 | 47.156 | 3155.9 |
946 | 2024-11-30 06:35:14 | predisposes | 3 | 121633 | 19 | 24.843 | 4896.1 |
945 | 2024-11-30 03:24:34 | predisposes | 4 | 148819 | 90 | 40.313 | 3691.6 |
944 | 2024-11-27 20:06:31 | predisposes | 1 | 49908 | 4 | 3.953 | 12625.3 |
943 | 2024-11-23 01:55:57 | predisposes | 4 | 148819 | 90 | 64.050 | 2323.5 |