History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"means"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1036 | 2025-08-30 22:14:08 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
1035 | 2025-08-30 14:34:06 | means | 1 | 28756 | 16 | 0.440 | 65354.5 |
1034 | 2025-08-27 09:10:41 | means | 1 | 28756 | 16 | 2.376 | 12102.7 |
1033 | 2025-08-27 07:16:02 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
1032 | 2025-08-24 23:13:40 | means | 1 | 28756 | 16 | 1.296 | 22188.3 |
1031 | 2025-08-23 15:48:35 | means | 1 | 28756 | 16 | 1.376 | 20898.3 |
1030 | 2025-08-23 09:21:59 | means | 1 | 28756 | 16 | 2.046 | 14054.7 |
1029 | 2025-08-20 14:56:25 | means | 1 | 28756 | 16 | 0.513 | 56054.6 |
1028 | 2025-08-13 21:36:17 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
1027 | 2025-08-11 07:57:03 | means | 1 | 28756 | 16 | 0.546 | 52666.7 |
1026 | 2025-08-09 00:55:28 | means | 1 | 28756 | 16 | 1.250 | 23004.8 |
1025 | 2025-08-03 06:04:33 | means | 2 | 53800 | 264 | 3.956 | 13599.6 |
1024 | 2025-07-31 11:06:45 | means | 1 | 28756 | 16 | 0.453 | 63479.0 |
1023 | 2025-07-31 03:20:44 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
1022 | 2025-07-25 23:42:05 | means | 2 | 53800 | 264 | 1.610 | 33416.1 |
1021 | 2025-07-23 23:35:07 | means | 1 | 28756 | 16 | 0.903 | 31845.0 |
1020 | 2025-07-23 17:33:14 | means | 1 | 28756 | 16 | 3.280 | 8767.1 |
1019 | 2025-07-23 11:19:08 | means | 1 | 28756 | 16 | 0.906 | 31739.5 |
1018 | 2025-07-23 06:52:24 | means | 1 | 28756 | 16 | 2.236 | 12860.5 |
1017 | 2025-07-23 00:28:04 | means | 1 | 28756 | 16 | 2.500 | 11502.4 |
1016 | 2025-07-22 14:25:50 | means | 1 | 28756 | 16 | 1.890 | 15214.8 |
1015 | 2025-07-21 10:44:17 | means | 1 | 28756 | 16 | 0.453 | 63479.0 |
1014 | 2025-07-19 00:49:55 | means | 1 | 28756 | 16 | 0.453 | 63479.0 |
1013 | 2025-07-17 19:38:43 | means | 1 | 28756 | 16 | 2.483 | 11581.2 |
1012 | 2025-07-06 23:35:35 | means | 1 | 28756 | 16 | 0.516 | 55728.7 |
1011 | 2025-07-06 01:31:14 | means | 1 | 28756 | 16 | 0.483 | 59536.2 |
1010 | 2025-07-04 18:18:02 | means | 1 | 28756 | 16 | 0.546 | 52666.7 |
1009 | 2025-07-04 04:26:10 | means | 1 | 28756 | 16 | 2.860 | 10054.5 |
1008 | 2025-07-02 21:21:45 | means | 2 | 53800 | 264 | 11.406 | 4716.8 |
1007 | 2025-07-02 05:38:05 | means | 2 | 53800 | 264 | 5.593 | 9619.2 |
1006 | 2025-07-01 10:05:41 | means | 1 | 28756 | 16 | 0.513 | 56054.6 |
1005 | 2025-07-01 02:32:28 | means | 2 | 53800 | 264 | 1.560 | 34487.2 |
1004 | 2025-06-29 18:23:34 | means | 1 | 28756 | 16 | 0.486 | 59168.7 |
1003 | 2025-06-23 10:59:06 | means | 1 | 28756 | 16 | 0.486 | 59168.7 |
1002 | 2025-06-20 20:57:02 | means | 1 | 28756 | 16 | 1.610 | 17860.9 |
1001 | 2025-06-18 09:09:39 | means | 1 | 28756 | 16 | 1.423 | 20208.0 |
1000 | 2025-06-17 20:59:37 | means | 1 | 28756 | 16 | 1.856 | 15493.5 |
999 | 2025-06-16 05:16:41 | means | 1 | 28756 | 16 | 2.420 | 11882.6 |
998 | 2025-06-15 19:28:28 | means | 1 | 28756 | 16 | 0.576 | 49923.6 |
997 | 2025-06-12 00:05:26 | means | 1 | 28756 | 16 | 2.343 | 12273.2 |
996 | 2025-06-09 22:52:58 | means | 1 | 28756 | 16 | 1.203 | 23903.6 |
995 | 2025-06-06 22:41:39 | means | 1 | 28756 | 16 | 3.560 | 8077.5 |
994 | 2025-06-06 14:26:29 | means | 1 | 28756 | 16 | 2.516 | 11429.3 |
993 | 2025-06-05 11:24:44 | means | 1 | 28756 | 16 | 1.560 | 18433.3 |
992 | 2025-06-03 23:17:09 | means | 1 | 28756 | 16 | 2.733 | 10521.8 |
991 | 2025-06-03 20:11:48 | means | 1 | 28756 | 16 | 2.516 | 11429.3 |
990 | 2025-06-03 20:08:13 | means | 1 | 28756 | 16 | 2.453 | 11722.8 |
989 | 2025-06-03 20:02:31 | means | 1 | 28756 | 16 | 2.140 | 13437.4 |
988 | 2025-06-02 19:30:17 | means | 1 | 28756 | 16 | 0.530 | 54256.6 |
987 | 2025-05-31 23:50:49 | means | 2 | 53800 | 264 | 7.846 | 6857.0 |
986 | 2025-05-31 21:20:17 | means | 1 | 28756 | 16 | 2.470 | 11642.1 |
985 | 2025-05-29 17:19:05 | means | 1 | 28756 | 16 | 0.550 | 52283.6 |
984 | 2025-05-29 10:34:34 | means | 1 | 28756 | 16 | 2.313 | 12432.3 |
983 | 2025-05-28 07:40:28 | means | 1 | 28756 | 16 | 1.046 | 27491.4 |
982 | 2025-05-28 02:18:48 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
981 | 2025-05-26 17:01:25 | means | 1 | 28756 | 16 | 2.466 | 11661.0 |
980 | 2025-05-24 13:20:54 | means | 2 | 53800 | 264 | 7.843 | 6859.6 |
979 | 2025-05-20 22:40:55 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
978 | 2025-05-19 23:56:41 | means | 1 | 28756 | 16 | 1.453 | 19790.8 |
977 | 2025-05-14 20:15:06 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
976 | 2025-05-05 23:25:41 | means | 2 | 53800 | 264 | 8.813 | 6104.6 |
975 | 2025-05-05 14:15:28 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
974 | 2025-05-03 23:29:17 | means | 1 | 28756 | 16 | 3.906 | 7362.0 |
973 | 2025-05-03 17:19:17 | means | 1 | 28756 | 16 | 0.513 | 56054.6 |
972 | 2025-04-28 17:17:18 | means | 1 | 28756 | 16 | 2.673 | 10757.9 |
971 | 2025-04-27 14:20:25 | means | 1 | 28756 | 16 | 0.470 | 61183.0 |
970 | 2025-04-27 14:17:22 | means | 1 | 28756 | 16 | 0.546 | 52666.7 |
969 | 2025-04-27 13:55:59 | means | 1 | 28756 | 16 | 0.486 | 59168.7 |
968 | 2025-04-25 16:52:18 | means | 1 | 28756 | 16 | 0.486 | 59168.7 |
967 | 2025-04-20 15:19:34 | means | 1 | 28756 | 16 | 0.986 | 29164.3 |
966 | 2025-04-19 23:15:02 | means | 1 | 28756 | 16 | 2.093 | 13739.1 |
965 | 2025-04-18 10:14:16 | means | 2 | 53800 | 264 | 4.433 | 12136.3 |
964 | 2025-04-17 08:32:38 | means | 1 | 28756 | 16 | 0.516 | 55728.7 |
963 | 2025-04-15 20:01:55 | means | 2 | 53800 | 264 | 3.063 | 17564.5 |
962 | 2025-04-08 12:00:46 | means | 2 | 53800 | 264 | 1.576 | 34137.1 |
961 | 2025-04-05 22:39:20 | means | 2 | 53800 | 264 | 4.436 | 12128.0 |
960 | 2025-04-05 10:42:49 | means | 1 | 28756 | 16 | 0.546 | 52666.7 |
959 | 2025-04-01 22:50:48 | means | 1 | 28756 | 16 | 3.123 | 9207.8 |
958 | 2025-03-28 07:30:50 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
957 | 2025-03-27 19:30:21 | means | 1 | 28756 | 16 | 2.126 | 13525.9 |
956 | 2025-03-23 00:23:18 | means | 1 | 28756 | 16 | 2.830 | 10161.1 |
955 | 2025-03-20 17:43:30 | means | 1 | 28756 | 16 | 2.250 | 12780.4 |
954 | 2025-03-19 00:17:51 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
953 | 2025-03-17 19:48:13 | means | 2 | 53800 | 264 | 12.313 | 4369.4 |
952 | 2025-03-17 19:48:06 | means | 1 | 28756 | 16 | 2.156 | 13337.7 |
951 | 2025-03-12 23:10:37 | means | 1 | 28756 | 16 | 3.126 | 9199.0 |
950 | 2025-03-10 20:36:49 | means | 2 | 53800 | 264 | 6.906 | 7790.3 |
949 | 2025-03-10 20:36:39 | means | 1 | 28756 | 16 | 2.250 | 12780.4 |
948 | 2025-03-09 04:07:13 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
947 | 2025-03-05 17:16:11 | means | 1 | 28756 | 16 | 0.440 | 65354.5 |
946 | 2025-02-27 15:42:59 | means | 2 | 53800 | 264 | 7.576 | 7101.4 |
945 | 2025-02-27 13:06:50 | means | 2 | 53800 | 264 | 8.483 | 6342.1 |
944 | 2025-02-27 12:06:54 | means | 2 | 53800 | 264 | 11.343 | 4743.0 |
943 | 2025-02-27 03:32:47 | means | 2 | 53800 | 264 | 8.093 | 6647.7 |
942 | 2025-02-27 03:29:46 | means | 1 | 28756 | 16 | 2.063 | 13938.9 |
941 | 2025-02-26 11:27:06 | means | 1 | 28756 | 16 | 2.330 | 12341.6 |
940 | 2025-02-25 11:23:06 | means | 1 | 28756 | 16 | 0.483 | 59536.2 |
939 | 2025-02-23 08:40:19 | means | 2 | 53800 | 264 | 4.126 | 13039.3 |
938 | 2025-02-16 14:58:07 | means | 1 | 28756 | 16 | 3.516 | 8178.6 |
937 | 2025-02-07 20:36:45 | means | 1 | 28756 | 16 | 1.966 | 14626.7 |