History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"lidar"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1052 | 2025-08-19 06:31:56 | lidar | 1 | 28756 | 3 | 1.326 | 21686.3 |
1051 | 2025-08-17 13:13:22 | lidar | 1 | 28756 | 3 | 0.953 | 30174.2 |
1050 | 2025-08-13 04:18:03 | lidar | 2 | 53800 | 67 | 1.393 | 38621.7 |
1049 | 2025-08-11 18:54:22 | lidar | 3 | 83667 | 970 | 24.816 | 3371.5 |
1048 | 2025-08-11 13:53:10 | lidar | 3 | 83667 | 970 | 12.360 | 6769.2 |
1047 | 2025-08-11 12:54:15 | lidar | 3 | 83667 | 970 | 8.046 | 10398.6 |
1046 | 2025-08-11 08:20:29 | lidar | 1 | 28756 | 3 | 0.486 | 59168.7 |
1045 | 2025-08-09 17:41:18 | lidar | 3 | 83667 | 970 | 19.393 | 4314.3 |
1044 | 2025-08-08 16:56:27 | lidar | 3 | 83667 | 970 | 3.500 | 23904.9 |
1043 | 2025-08-08 06:46:09 | lidar | 1 | 28756 | 3 | 0.516 | 55728.7 |
1042 | 2025-08-02 20:39:37 | lidar | 3 | 83667 | 970 | 16.766 | 4990.3 |
1041 | 2025-08-02 20:39:26 | lidar | 3 | 83667 | 970 | 19.550 | 4279.6 |
1040 | 2025-08-02 13:42:35 | lidar | 3 | 83667 | 970 | 9.376 | 8923.5 |
1039 | 2025-07-31 22:14:31 | lidar | 3 | 83667 | 970 | 11.093 | 7542.3 |
1038 | 2025-07-31 08:40:03 | lidar | 1 | 28756 | 3 | 1.296 | 22188.3 |
1037 | 2025-07-30 20:42:14 | lidar | 3 | 83667 | 970 | 17.030 | 4912.9 |
1036 | 2025-07-27 18:28:24 | lidar | 2 | 53800 | 67 | 4.843 | 11108.8 |
1035 | 2025-07-27 16:37:24 | lidar | 1 | 28756 | 3 | 1.093 | 26309.2 |
1034 | 2025-07-24 07:19:58 | lidar | 1 | 28756 | 3 | 1.356 | 21206.5 |
1033 | 2025-07-23 18:41:07 | lidar | 1 | 28756 | 3 | 2.890 | 9950.2 |
1032 | 2025-07-22 10:26:22 | lidar | 1 | 28756 | 3 | 2.110 | 13628.4 |
1031 | 2025-07-18 19:26:11 | lidar | 1 | 28756 | 3 | 1.376 | 20898.3 |
1030 | 2025-07-17 07:59:16 | lidar | 1 | 28756 | 3 | 1.640 | 17534.1 |
1029 | 2025-07-16 08:53:18 | lidar | 1 | 28756 | 3 | 0.500 | 57512.0 |
1028 | 2025-07-15 22:36:53 | lidar | 1 | 28756 | 3 | 1.046 | 27491.4 |
1027 | 2025-07-14 15:26:14 | lidar | 1 | 28756 | 3 | 1.140 | 25224.6 |
1026 | 2025-07-10 13:54:28 | lidar | 1 | 28756 | 3 | 0.516 | 55728.7 |
1025 | 2025-07-10 12:37:51 | lidar | 1 | 28756 | 3 | 2.186 | 13154.6 |
1024 | 2025-07-10 12:15:53 | lidar | 1 | 28756 | 3 | 2.516 | 11429.3 |
1023 | 2025-07-06 20:30:51 | lidar | 3 | 83667 | 970 | 3.673 | 22778.9 |
1022 | 2025-07-04 22:27:24 | lidar | 3 | 83667 | 970 | 20.766 | 4029.0 |
1021 | 2025-07-04 08:42:08 | lidar | 2 | 53800 | 67 | 1.750 | 30742.9 |
1020 | 2025-07-03 14:30:37 | lidar | 1 | 28756 | 3 | 0.486 | 59168.7 |
1019 | 2025-07-02 21:23:58 | lidar | 2 | 53800 | 67 | 4.203 | 12800.4 |
1018 | 2025-07-02 01:50:56 | lidar | 1 | 28756 | 3 | 2.483 | 11581.2 |
1017 | 2025-06-30 08:25:02 | lidar | 1 | 28756 | 3 | 2.390 | 12031.8 |
1016 | 2025-06-29 15:31:55 | lidar | 1 | 28756 | 3 | 3.670 | 7835.4 |
1015 | 2025-06-28 00:17:44 | lidar | 2 | 53800 | 67 | 8.093 | 6647.7 |
1014 | 2025-06-23 11:01:03 | lidar | 1 | 28756 | 3 | 0.533 | 53951.2 |
1013 | 2025-06-23 01:24:16 | lidar | 3 | 83667 | 970 | 22.063 | 3792.2 |
1012 | 2025-06-22 23:24:04 | lidar | 1 | 28756 | 3 | 0.486 | 59168.7 |
1011 | 2025-06-22 01:16:31 | lidar | 2 | 53800 | 67 | 11.173 | 4815.2 |
1010 | 2025-06-21 11:57:02 | lidar | 3 | 83667 | 970 | 8.016 | 10437.5 |
1009 | 2025-06-21 06:40:17 | lidar | 1 | 28756 | 3 | 2.330 | 12341.6 |
1008 | 2025-06-18 21:45:10 | lidar | 3 | 83667 | 970 | 4.263 | 19626.3 |
1007 | 2025-06-17 14:11:12 | lidar | 1 | 28756 | 3 | 0.513 | 56054.6 |
1006 | 2025-06-16 06:25:41 | lidar | 1 | 28756 | 3 | 0.966 | 29768.1 |
1005 | 2025-06-14 19:13:36 | lidar | 1 | 28756 | 3 | 2.190 | 13130.6 |
1004 | 2025-06-13 15:36:50 | lidar | 3 | 83667 | 970 | 20.643 | 4053.0 |
1003 | 2025-06-12 14:13:19 | lidar | 1 | 28756 | 3 | 2.186 | 13154.6 |
1002 | 2025-06-11 08:45:52 | lidar | 1 | 28756 | 3 | 2.453 | 11722.8 |
1001 | 2025-06-10 08:05:21 | lidar | 1 | 28756 | 3 | 2.156 | 13337.7 |
1000 | 2025-06-04 12:05:56 | lidar | 1 | 28756 | 3 | 3.313 | 8679.7 |
999 | 2025-06-02 01:22:48 | lidar | 1 | 28756 | 3 | 3.080 | 9336.4 |
998 | 2025-05-31 23:00:45 | lidar | 3 | 83667 | 970 | 20.080 | 4166.7 |
997 | 2025-05-30 20:19:39 | lidar | 3 | 83667 | 970 | 3.970 | 21074.8 |
996 | 2025-05-29 03:53:56 | lidar | 1 | 28756 | 3 | 0.983 | 29253.3 |
995 | 2025-05-28 17:20:33 | lidar | 3 | 83667 | 970 | 3.890 | 21508.2 |
994 | 2025-05-28 14:48:23 | lidar | 1 | 28756 | 3 | 0.500 | 57512.0 |
993 | 2025-05-23 00:24:19 | lidar | 1 | 28756 | 3 | 1.390 | 20687.8 |
992 | 2025-05-22 15:45:35 | lidar | 1 | 28756 | 3 | 1.376 | 20898.3 |
991 | 2025-05-21 16:54:20 | lidar | 3 | 83667 | 970 | 3.703 | 22594.4 |
990 | 2025-05-21 06:44:26 | lidar | 1 | 28756 | 3 | 0.516 | 55728.7 |
989 | 2025-05-18 09:43:47 | lidar | 2 | 53800 | 67 | 11.920 | 4513.4 |
988 | 2025-05-18 01:50:08 | lidar | 3 | 83667 | 970 | 10.486 | 7978.9 |
987 | 2025-05-17 05:40:33 | lidar | 1 | 28756 | 3 | 1.406 | 20452.3 |
986 | 2025-05-16 12:24:02 | lidar | 3 | 83667 | 970 | 12.106 | 6911.2 |
985 | 2025-05-15 06:41:46 | lidar | 1 | 28756 | 3 | 0.500 | 57512.0 |
984 | 2025-05-13 01:13:30 | lidar | 1 | 28756 | 3 | 1.173 | 24514.9 |
983 | 2025-05-10 14:53:06 | lidar | 1 | 28756 | 3 | 2.563 | 11219.7 |
982 | 2025-05-10 08:16:30 | lidar | 1 | 28756 | 3 | 1.593 | 18051.5 |
981 | 2025-05-10 02:05:12 | lidar | 2 | 53800 | 67 | 8.080 | 6658.4 |
980 | 2025-05-08 17:47:57 | lidar | 2 | 53800 | 67 | 7.656 | 7027.2 |
979 | 2025-05-07 01:03:01 | lidar | 2 | 53800 | 67 | 1.626 | 33087.3 |
978 | 2025-05-06 00:34:38 | lidar | 2 | 53800 | 67 | 8.563 | 6282.8 |
977 | 2025-05-05 04:07:19 | lidar | 2 | 53800 | 67 | 1.670 | 32215.6 |
976 | 2025-05-04 11:58:08 | lidar | 2 | 53800 | 67 | 6.423 | 8376.1 |
975 | 2025-05-03 11:35:00 | lidar | 1 | 28756 | 3 | 0.500 | 57512.0 |
974 | 2025-05-02 01:25:31 | lidar | 1 | 28756 | 3 | 1.296 | 22188.3 |
973 | 2025-05-01 06:17:53 | lidar | 1 | 28756 | 3 | 1.110 | 25906.3 |
972 | 2025-04-29 20:32:58 | lidar | 3 | 83667 | 970 | 22.033 | 3797.3 |
971 | 2025-04-28 20:55:29 | lidar | 3 | 83667 | 970 | 3.360 | 24900.9 |
970 | 2025-04-20 17:45:18 | lidar | 1 | 28756 | 3 | 2.050 | 14027.3 |
969 | 2025-04-20 06:18:05 | lidar | 1 | 28756 | 3 | 2.330 | 12341.6 |
968 | 2025-04-16 14:46:23 | lidar | 3 | 83667 | 970 | 20.500 | 4081.3 |
967 | 2025-04-16 08:51:27 | lidar | 2 | 53800 | 67 | 8.736 | 6158.4 |
966 | 2025-04-15 05:49:27 | lidar | 1 | 28756 | 3 | 0.466 | 61708.2 |
965 | 2025-04-08 07:43:02 | lidar | 1 | 28756 | 3 | 0.936 | 30722.2 |
964 | 2025-04-07 03:54:45 | lidar | 3 | 83667 | 970 | 22.410 | 3733.5 |
963 | 2025-04-06 11:29:42 | lidar | 3 | 83667 | 970 | 16.373 | 5110.1 |
962 | 2025-04-04 01:37:43 | lidar | 3 | 83667 | 970 | 23.893 | 3501.7 |
961 | 2025-04-03 22:54:38 | lidar | 3 | 83667 | 970 | 31.063 | 2693.5 |
960 | 2025-04-03 22:46:32 | lidar | 3 | 83667 | 970 | 23.280 | 3593.9 |
959 | 2025-04-03 10:16:16 | lidar | 1 | 28756 | 3 | 2.450 | 11737.1 |
958 | 2025-04-03 02:54:45 | lidar | 3 | 83667 | 970 | 4.156 | 20131.6 |
957 | 2025-03-28 10:16:45 | lidar | 3 | 83667 | 970 | 3.860 | 21675.4 |
956 | 2025-03-20 08:20:35 | lidar | 1 | 28756 | 3 | 3.470 | 8287.0 |
955 | 2025-03-17 13:49:06 | lidar | 3 | 83667 | 970 | 24.066 | 3476.6 |
954 | 2025-03-17 11:17:33 | lidar | 3 | 83667 | 970 | 21.906 | 3819.4 |
953 | 2025-03-17 00:37:36 | lidar | 1 | 28756 | 3 | 3.890 | 7392.3 |