History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"pivot"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1016 | 2025-08-24 19:16:57 | pivot | 1 | 28756 | 6 | 2.330 | 12341.6 |
1015 | 2025-08-24 06:38:14 | pivot | 1 | 28756 | 6 | 2.736 | 10510.2 |
1014 | 2025-08-17 07:35:43 | pivot | 1 | 28756 | 6 | 0.970 | 29645.4 |
1013 | 2025-08-09 18:55:52 | pivot | 1 | 28756 | 6 | 1.143 | 25158.4 |
1012 | 2025-08-08 11:28:44 | pivot | 1 | 28756 | 6 | 0.513 | 56054.6 |
1011 | 2025-08-04 18:54:16 | pivot | 1 | 28756 | 6 | 0.970 | 29645.4 |
1010 | 2025-08-04 02:09:03 | pivot | 1 | 28756 | 6 | 0.513 | 56054.6 |
1009 | 2025-08-03 01:49:41 | pivot | 3 | 83667 | 701 | 13.450 | 6220.6 |
1008 | 2025-08-03 01:48:23 | pivot | 2 | 53800 | 38 | 4.110 | 13090.0 |
1007 | 2025-08-01 18:01:59 | pivot | 2 | 53800 | 38 | 10.486 | 5130.7 |
1006 | 2025-08-01 02:53:27 | pivot | 1 | 28756 | 6 | 4.143 | 6940.9 |
1005 | 2025-07-31 15:14:44 | pivot | 1 | 28756 | 6 | 0.576 | 49923.6 |
1004 | 2025-07-31 14:22:29 | pivot | 1 | 28756 | 6 | 2.186 | 13154.6 |
1003 | 2025-07-23 22:30:17 | pivot | 1 | 28756 | 6 | 3.203 | 8977.8 |
1002 | 2025-07-23 15:54:48 | pivot | 1 | 28756 | 6 | 3.516 | 8178.6 |
1001 | 2025-07-23 12:16:59 | pivot | 1 | 28756 | 6 | 2.250 | 12780.4 |
1000 | 2025-07-23 03:21:51 | pivot | 1 | 28756 | 6 | 2.860 | 10054.5 |
999 | 2025-07-23 03:20:21 | pivot | 1 | 28756 | 6 | 0.953 | 30174.2 |
998 | 2025-07-23 00:18:54 | pivot | 1 | 28756 | 6 | 1.060 | 27128.3 |
997 | 2025-07-22 03:15:52 | pivot | 1 | 28756 | 6 | 0.436 | 65954.1 |
996 | 2025-07-17 23:33:47 | pivot | 3 | 83667 | 701 | 18.483 | 4526.7 |
995 | 2025-07-17 12:18:30 | pivot | 1 | 28756 | 6 | 2.486 | 11567.2 |
994 | 2025-07-17 04:53:37 | pivot | 1 | 28756 | 6 | 1.733 | 16593.2 |
993 | 2025-07-16 23:58:51 | pivot | 3 | 83667 | 701 | 8.220 | 10178.5 |
992 | 2025-07-16 15:55:02 | pivot | 3 | 83667 | 701 | 5.013 | 16690.0 |
991 | 2025-07-16 05:21:04 | pivot | 1 | 28756 | 6 | 2.406 | 11951.8 |
990 | 2025-07-05 17:44:16 | pivot | 1 | 28756 | 6 | 3.656 | 7865.4 |
989 | 2025-07-04 02:14:37 | pivot | 1 | 28756 | 6 | 2.560 | 11232.8 |
988 | 2025-06-28 09:58:43 | pivot | 1 | 28756 | 6 | 1.173 | 24514.9 |
987 | 2025-06-20 21:34:32 | pivot | 1 | 28756 | 6 | 1.470 | 19561.9 |
986 | 2025-06-18 23:46:37 | pivot | 1 | 28756 | 6 | 2.460 | 11689.4 |
985 | 2025-06-11 08:27:32 | pivot | 1 | 28756 | 6 | 3.033 | 9481.0 |
984 | 2025-06-10 08:02:57 | pivot | 1 | 28756 | 6 | 1.423 | 20208.0 |
983 | 2025-06-08 10:36:33 | pivot | 3 | 83667 | 701 | 13.000 | 6435.9 |
982 | 2025-06-07 05:34:29 | pivot | 3 | 83667 | 701 | 5.233 | 15988.3 |
981 | 2025-06-04 11:48:00 | pivot | 3 | 83667 | 701 | 25.750 | 3249.2 |
980 | 2025-06-03 17:04:28 | pivot | 1 | 28756 | 6 | 0.500 | 57512.0 |
979 | 2025-06-02 17:01:58 | pivot | 1 | 28756 | 6 | 3.673 | 7829.0 |
978 | 2025-06-02 05:04:45 | pivot | 3 | 83667 | 701 | 21.250 | 3937.3 |
977 | 2025-06-02 02:03:21 | pivot | 1 | 28756 | 6 | 3.186 | 9025.7 |
976 | 2025-06-01 22:34:35 | pivot | 2 | 53800 | 38 | 11.890 | 4524.8 |
975 | 2025-06-01 07:41:48 | pivot | 1 | 28756 | 6 | 0.500 | 57512.0 |
974 | 2025-05-31 09:35:10 | pivot | 1 | 28756 | 6 | 1.190 | 24164.7 |
973 | 2025-05-28 21:51:32 | pivot | 1 | 28756 | 6 | 2.716 | 10587.6 |
972 | 2025-05-26 10:12:15 | pivot | 1 | 28756 | 6 | 2.326 | 12362.9 |
971 | 2025-05-22 19:18:20 | pivot | 2 | 53800 | 38 | 1.670 | 32215.6 |
970 | 2025-05-21 23:26:20 | pivot | 3 | 83667 | 701 | 22.110 | 3784.1 |
969 | 2025-05-20 19:49:57 | pivot | 1 | 28756 | 6 | 0.436 | 65954.1 |
968 | 2025-05-20 02:23:33 | pivot | 1 | 28756 | 6 | 2.516 | 11429.3 |
967 | 2025-05-10 09:03:07 | pivot | 1 | 28756 | 6 | 1.313 | 21901.0 |
966 | 2025-05-07 13:40:36 | pivot | 1 | 28756 | 6 | 0.453 | 63479.0 |
965 | 2025-05-06 16:25:28 | pivot | 1 | 28756 | 6 | 1.233 | 23322.0 |
964 | 2025-05-02 17:00:09 | pivot | 1 | 28756 | 6 | 1.376 | 20898.3 |
963 | 2025-05-02 07:28:59 | pivot | 1 | 28756 | 6 | 2.250 | 12780.4 |
962 | 2025-04-20 01:07:40 | pivot | 1 | 28756 | 6 | 1.593 | 18051.5 |
961 | 2025-04-19 19:19:31 | pivot | 1 | 28756 | 6 | 0.966 | 29768.1 |
960 | 2025-03-31 18:44:47 | pivot | 1 | 28756 | 6 | 1.950 | 14746.7 |
959 | 2025-03-31 08:56:41 | pivot | 1 | 28756 | 6 | 1.280 | 22465.6 |
958 | 2025-03-31 03:37:31 | pivot | 1 | 28756 | 6 | 2.500 | 11502.4 |
957 | 2025-03-26 15:06:52 | pivot | 3 | 83667 | 701 | 11.926 | 7015.5 |
956 | 2025-03-22 07:49:51 | pivot | 3 | 83667 | 701 | 22.643 | 3695.0 |
955 | 2025-03-21 02:06:38 | pivot | 2 | 53800 | 38 | 11.360 | 4735.9 |
954 | 2025-03-21 00:50:02 | pivot | 3 | 83667 | 701 | 18.083 | 4626.8 |
953 | 2025-03-20 11:11:27 | pivot | 2 | 53800 | 38 | 4.390 | 12255.1 |
952 | 2025-03-19 21:17:28 | pivot | 3 | 83667 | 701 | 10.220 | 8186.6 |
951 | 2025-03-19 01:32:35 | pivot | 1 | 28756 | 6 | 0.483 | 59536.2 |
950 | 2025-03-18 20:28:06 | pivot | 1 | 28756 | 6 | 0.436 | 65954.1 |
949 | 2025-03-12 14:36:52 | pivot | 1 | 28756 | 6 | 0.483 | 59536.2 |
948 | 2025-03-10 03:25:00 | pivot | 1 | 28756 | 6 | 0.500 | 57512.0 |
947 | 2025-03-05 19:14:14 | pivot | 1 | 28756 | 6 | 0.513 | 56054.6 |
946 | 2025-03-01 09:02:35 | pivot | 1 | 28756 | 6 | 2.813 | 10222.5 |
945 | 2025-02-27 16:06:43 | pivot | 1 | 28756 | 6 | 2.876 | 9998.6 |
944 | 2025-02-27 16:02:02 | pivot | 3 | 83667 | 701 | 21.580 | 3877.1 |
943 | 2025-02-27 16:02:01 | pivot | 2 | 53800 | 38 | 10.406 | 5170.1 |
942 | 2025-02-27 14:55:45 | pivot | 3 | 83667 | 701 | 17.953 | 4660.3 |
941 | 2025-02-27 12:39:55 | pivot | 3 | 83667 | 701 | 14.126 | 5922.9 |
940 | 2025-02-27 12:39:55 | pivot | 2 | 53800 | 38 | 12.123 | 4437.8 |
939 | 2025-02-27 12:31:48 | pivot | 1 | 28756 | 6 | 0.513 | 56054.6 |
938 | 2025-02-07 19:27:21 | pivot | 1 | 28756 | 6 | 2.250 | 12780.4 |
937 | 2025-01-30 07:44:44 | pivot | 2 | 53800 | 38 | 8.093 | 6647.7 |
936 | 2025-01-30 07:43:50 | pivot | 1 | 28756 | 6 | 2.373 | 12118.0 |
935 | 2025-01-28 01:15:20 | pivot | 3 | 83667 | 701 | 21.406 | 3908.6 |
934 | 2025-01-28 01:15:21 | pivot | 2 | 53800 | 38 | 6.110 | 8805.2 |
933 | 2025-01-28 01:08:49 | pivot | 1 | 28756 | 6 | 0.513 | 56054.6 |
932 | 2025-01-27 17:21:22 | pivot | 1 | 28756 | 6 | 2.436 | 11804.6 |
931 | 2025-01-24 16:53:04 | pivot | 3 | 83667 | 701 | 17.110 | 4889.9 |
930 | 2025-01-24 16:35:18 | pivot | 2 | 53800 | 38 | 7.580 | 7097.6 |
929 | 2025-01-24 16:31:21 | pivot | 3 | 83667 | 701 | 4.000 | 20916.8 |
928 | 2025-01-22 13:52:36 | pivot | 3 | 83667 | 701 | 16.283 | 5138.3 |
927 | 2025-01-22 04:57:53 | pivot | 2 | 53800 | 38 | 7.893 | 6816.2 |
926 | 2025-01-05 17:30:35 | pivot | 1 | 28756 | 6 | 1.406 | 20452.3 |
925 | 2025-01-02 17:56:47 | pivot | 3 | 83667 | 701 | 20.280 | 4125.6 |
924 | 2024-12-31 00:41:42 | pivot | 2 | 53800 | 38 | 6.780 | 7935.1 |
923 | 2024-12-31 00:41:16 | pivot | 1 | 28756 | 6 | 0.546 | 52666.7 |
922 | 2024-12-30 18:05:42 | pivot | 2 | 53800 | 38 | 1.356 | 39675.5 |
921 | 2024-12-30 18:05:16 | pivot | 3 | 83667 | 701 | 7.296 | 11467.5 |
920 | 2024-12-28 21:55:49 | pivot | 3 | 83667 | 701 | 14.436 | 5795.7 |
919 | 2024-12-28 21:55:43 | pivot | 2 | 53800 | 38 | 7.330 | 7339.7 |
918 | 2024-12-28 21:42:53 | pivot | 1 | 28756 | 6 | 0.486 | 59168.7 |
917 | 2024-12-25 10:09:45 | pivot | 3 | 83667 | 701 | 26.893 | 3111.1 |