History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"preshapes"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1079 | 2025-08-28 02:39:55 | preshapes | 1 | 81242 | 4 | 1.580 | 51419.0 |
1078 | 2025-08-26 20:10:50 | preshapes | 1 | 81242 | 4 | 1.876 | 43306.0 |
1077 | 2025-08-22 23:37:39 | preshapes | 3 | 148641 | 90 | 43.953 | 3381.8 |
1076 | 2025-08-15 08:18:31 | preshapes | 4 | 165329 | 695 | 46.410 | 3562.4 |
1075 | 2025-08-14 15:34:36 | preshapes | 1 | 81242 | 4 | 1.310 | 62016.8 |
1074 | 2025-08-13 19:16:51 | preshapes | 3 | 148641 | 90 | 18.266 | 8137.6 |
1073 | 2025-08-13 17:06:07 | preshapes | 1 | 81242 | 4 | 10.250 | 7926.0 |
1072 | 2025-08-13 16:13:52 | preshapes | 3 | 148641 | 90 | 37.846 | 3927.5 |
1071 | 2025-08-11 11:19:31 | preshapes | 4 | 165329 | 695 | 44.500 | 3715.3 |
1070 | 2025-08-06 06:54:26 | preshapes | 4 | 165329 | 695 | 45.956 | 3597.5 |
1069 | 2025-08-05 08:03:47 | preshapes | 4 | 165329 | 695 | 40.000 | 4133.2 |
1068 | 2025-08-04 12:27:34 | preshapes | 1 | 81242 | 4 | 3.390 | 23965.2 |
1067 | 2025-08-03 11:33:38 | preshapes | 4 | 165329 | 695 | 77.160 | 2142.7 |
1066 | 2025-08-03 03:16:59 | preshapes | 2 | 121436 | 13 | 9.593 | 12658.8 |
1065 | 2025-08-01 15:36:21 | preshapes | 2 | 121436 | 13 | 9.610 | 12636.4 |
1064 | 2025-07-30 20:08:38 | preshapes | 2 | 121436 | 13 | 25.610 | 4741.7 |
1063 | 2025-07-28 14:14:09 | preshapes | 4 | 165329 | 695 | 27.516 | 6008.5 |
1062 | 2025-07-27 17:16:12 | preshapes | 2 | 121436 | 13 | 8.703 | 13953.3 |
1061 | 2025-07-27 05:28:36 | preshapes | 1 | 81242 | 4 | 4.530 | 17934.2 |
1060 | 2025-07-25 02:58:09 | preshapes | 1 | 81242 | 4 | 5.920 | 13723.3 |
1059 | 2025-07-25 01:26:59 | preshapes | 1 | 81242 | 4 | 4.360 | 18633.5 |
1058 | 2025-07-25 00:39:49 | preshapes | 1 | 81242 | 4 | 2.783 | 29192.2 |
1057 | 2025-07-25 00:17:51 | preshapes | 1 | 81242 | 4 | 6.846 | 11867.1 |
1056 | 2025-07-24 08:40:41 | preshapes | 1 | 81242 | 4 | 5.266 | 15427.6 |
1055 | 2025-07-24 08:01:49 | preshapes | 1 | 81242 | 4 | 6.550 | 12403.4 |
1054 | 2025-07-24 04:30:15 | preshapes | 1 | 81242 | 4 | 3.860 | 21047.2 |
1053 | 2025-07-22 19:23:56 | preshapes | 1 | 81242 | 4 | 3.653 | 22239.8 |
1052 | 2025-07-20 23:53:23 | preshapes | 4 | 165329 | 695 | 14.126 | 11703.9 |
1051 | 2025-07-13 23:12:08 | preshapes | 1 | 81242 | 4 | 3.580 | 22693.3 |
1050 | 2025-07-11 05:52:59 | preshapes | 4 | 165329 | 695 | 71.770 | 2303.6 |
1049 | 2025-07-10 02:02:11 | preshapes | 4 | 165329 | 695 | 70.033 | 2360.7 |
1048 | 2025-07-09 20:41:17 | preshapes | 1 | 81242 | 4 | 3.436 | 23644.4 |
1047 | 2025-07-08 18:06:40 | preshapes | 1 | 81242 | 4 | 1.503 | 54053.2 |
1046 | 2025-07-08 09:47:27 | preshapes | 4 | 165329 | 695 | 59.180 | 2793.7 |
1045 | 2025-07-07 09:18:48 | preshapes | 4 | 165329 | 695 | 84.163 | 1964.4 |
1044 | 2025-07-06 23:12:38 | preshapes | 4 | 165329 | 695 | 65.126 | 2538.6 |
1043 | 2025-07-05 07:21:12 | preshapes | 4 | 165329 | 695 | 54.380 | 3040.3 |
1042 | 2025-07-03 17:19:09 | preshapes | 2 | 121436 | 13 | 3.610 | 33638.8 |
1041 | 2025-07-02 07:27:08 | preshapes | 1 | 81242 | 4 | 3.470 | 23412.7 |
1040 | 2025-06-29 15:00:09 | preshapes | 1 | 81242 | 4 | 1.406 | 57782.4 |
1039 | 2025-06-26 05:15:54 | preshapes | 1 | 81242 | 4 | 6.096 | 13327.1 |
1038 | 2025-06-21 19:30:55 | preshapes | 2 | 121436 | 13 | 7.640 | 15894.8 |
1037 | 2025-06-17 10:07:44 | preshapes | 3 | 148641 | 90 | 6.936 | 21430.4 |
1036 | 2025-06-16 11:27:11 | preshapes | 4 | 165329 | 695 | 63.673 | 2596.5 |
1035 | 2025-06-11 09:22:40 | preshapes | 4 | 165329 | 695 | 75.893 | 2178.4 |
1034 | 2025-06-07 22:02:38 | preshapes | 1 | 81242 | 4 | 5.766 | 14089.8 |
1033 | 2025-06-04 06:28:35 | preshapes | 1 | 81242 | 4 | 7.140 | 11378.4 |
1032 | 2025-06-04 05:57:47 | preshapes | 4 | 165329 | 695 | 59.893 | 2760.4 |
1031 | 2025-06-04 02:21:53 | preshapes | 1 | 81242 | 4 | 4.156 | 19548.1 |
1030 | 2025-06-03 23:10:57 | preshapes | 4 | 165329 | 695 | 62.850 | 2630.5 |
1029 | 2025-06-03 08:19:00 | preshapes | 4 | 165329 | 695 | 85.660 | 1930.1 |
1028 | 2025-06-01 23:35:06 | preshapes | 4 | 165329 | 695 | 73.850 | 2238.7 |
1027 | 2025-06-01 23:16:42 | preshapes | 3 | 148641 | 90 | 25.826 | 5755.5 |
1026 | 2025-06-01 14:07:54 | preshapes | 2 | 121436 | 13 | 3.406 | 35653.6 |
1025 | 2025-06-01 13:54:30 | preshapes | 2 | 121436 | 13 | 4.000 | 30359.0 |
1024 | 2025-06-01 12:51:33 | preshapes | 3 | 148641 | 90 | 34.640 | 4291.0 |
1023 | 2025-06-01 08:47:58 | preshapes | 4 | 165329 | 695 | 60.470 | 2734.1 |
1022 | 2025-06-01 05:44:49 | preshapes | 3 | 148641 | 90 | 24.736 | 6009.1 |
1021 | 2025-06-01 05:42:51 | preshapes | 3 | 148641 | 90 | 43.363 | 3427.8 |
1020 | 2025-05-30 20:27:38 | preshapes | 1 | 81242 | 4 | 2.170 | 37438.7 |
1019 | 2025-05-29 23:13:16 | preshapes | 2 | 121436 | 13 | 3.923 | 30954.9 |
1018 | 2025-05-28 20:10:58 | preshapes | 1 | 81242 | 4 | 3.233 | 25129.0 |
1017 | 2025-05-28 19:28:09 | preshapes | 3 | 148641 | 90 | 7.343 | 20242.5 |
1016 | 2025-05-19 19:33:44 | preshapes | 3 | 148641 | 90 | 30.363 | 4895.5 |
1015 | 2025-05-16 17:26:06 | preshapes | 3 | 148641 | 90 | 29.343 | 5065.6 |
1014 | 2025-05-16 09:27:33 | preshapes | 3 | 148641 | 90 | 40.533 | 3667.2 |
1013 | 2025-05-15 15:40:50 | preshapes | 3 | 148641 | 90 | 37.086 | 4008.0 |
1012 | 2025-05-13 11:05:32 | preshapes | 3 | 148641 | 90 | 36.173 | 4109.2 |
1011 | 2025-05-12 21:52:49 | preshapes | 1 | 81242 | 4 | 1.356 | 59913.0 |
1010 | 2025-05-12 11:51:41 | preshapes | 3 | 148641 | 90 | 39.003 | 3811.0 |
1009 | 2025-05-03 21:41:02 | preshapes | 1 | 81242 | 4 | 6.890 | 11791.3 |
1008 | 2025-04-25 21:07:25 | preshapes | 1 | 81242 | 4 | 8.000 | 10155.3 |
1007 | 2025-04-25 20:01:48 | preshapes | 2 | 121436 | 13 | 9.720 | 12493.4 |
1006 | 2025-04-25 16:58:46 | preshapes | 3 | 148641 | 90 | 7.670 | 19379.5 |
1005 | 2025-04-25 04:33:02 | preshapes | 1 | 81242 | 4 | 1.486 | 54671.6 |
1004 | 2025-04-25 02:05:08 | preshapes | 1 | 81242 | 4 | 6.890 | 11791.3 |
1003 | 2025-04-22 05:28:29 | preshapes | 1 | 81242 | 4 | 2.796 | 29056.5 |
1002 | 2025-04-21 03:58:54 | preshapes | 3 | 148641 | 90 | 41.283 | 3600.5 |
1001 | 2025-04-19 04:35:06 | preshapes | 3 | 148641 | 90 | 7.733 | 19221.6 |
1000 | 2025-04-19 03:42:01 | preshapes | 3 | 148641 | 90 | 14.283 | 10406.8 |
999 | 2025-04-14 17:02:47 | preshapes | 2 | 121436 | 13 | 16.220 | 7486.8 |
998 | 2025-04-12 16:54:58 | preshapes | 3 | 148641 | 90 | 8.000 | 18580.1 |
997 | 2025-04-09 14:51:09 | preshapes | 3 | 148641 | 90 | 35.500 | 4187.1 |
996 | 2025-04-09 14:22:02 | preshapes | 3 | 148641 | 90 | 32.756 | 4537.8 |
995 | 2025-04-07 14:20:15 | preshapes | 1 | 81242 | 4 | 6.970 | 11656.0 |
994 | 2025-04-03 21:32:06 | preshapes | 1 | 81242 | 4 | 5.686 | 14288.1 |
993 | 2025-04-03 03:25:26 | preshapes | 4 | 165329 | 695 | 64.706 | 2555.1 |
992 | 2025-04-01 00:08:12 | preshapes | 4 | 165329 | 695 | 63.910 | 2586.9 |
991 | 2025-03-30 13:54:34 | preshapes | 4 | 165329 | 695 | 60.596 | 2728.4 |
990 | 2025-03-30 01:55:43 | preshapes | 2 | 121436 | 13 | 12.020 | 10102.8 |
989 | 2025-03-29 11:29:55 | preshapes | 4 | 165329 | 695 | 56.283 | 2937.5 |
988 | 2025-03-28 04:01:40 | preshapes | 3 | 148641 | 90 | 11.580 | 12836.0 |
987 | 2025-03-26 14:01:42 | preshapes | 3 | 148641 | 90 | 7.110 | 20905.9 |
986 | 2025-03-25 10:26:08 | preshapes | 3 | 148641 | 90 | 42.190 | 3523.1 |
985 | 2025-03-25 03:59:53 | preshapes | 1 | 81242 | 4 | 6.420 | 12654.5 |
984 | 2025-03-24 21:50:01 | preshapes | 1 | 81242 | 4 | 3.703 | 21939.5 |
983 | 2025-03-22 07:07:45 | preshapes | 3 | 148641 | 90 | 51.173 | 2904.7 |
982 | 2025-03-21 19:01:10 | preshapes | 3 | 148641 | 90 | 43.860 | 3389.0 |
981 | 2025-03-20 23:42:23 | preshapes | 3 | 148641 | 90 | 49.986 | 2973.7 |
980 | 2025-03-20 21:58:34 | preshapes | 3 | 148641 | 90 | 47.360 | 3138.5 |