History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tear"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1064 | 2025-09-08 21:36:31 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
1063 | 2025-09-04 09:00:22 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
1062 | 2025-09-03 07:36:36 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
1061 | 2025-08-27 00:22:45 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
1060 | 2025-08-26 23:22:07 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
1059 | 2025-08-21 16:58:40 | tear | 1 | 13983 | 25 | 0.406 | 34440.9 |
1058 | 2025-08-19 02:05:32 | tear | 1 | 13983 | 25 | 1.186 | 11790.1 |
1057 | 2025-08-18 00:51:29 | tear | 2 | 29872 | 309 | 0.783 | 38150.7 |
1056 | 2025-08-17 23:17:24 | tear | 1 | 13983 | 25 | 0.500 | 27966.0 |
1055 | 2025-08-09 13:29:09 | tear | 1 | 13983 | 25 | 1.280 | 10924.2 |
1054 | 2025-08-03 04:37:07 | tear | 1 | 13983 | 25 | 1.093 | 12793.2 |
1053 | 2025-08-01 10:27:08 | tear | 1 | 13983 | 25 | 0.283 | 49409.9 |
1052 | 2025-07-27 02:13:53 | tear | 1 | 13983 | 25 | 0.263 | 53167.3 |
1051 | 2025-07-26 23:59:46 | tear | 1 | 13983 | 25 | 0.656 | 21315.5 |
1050 | 2025-07-26 10:36:35 | tear | 1 | 13983 | 25 | 0.533 | 26234.5 |
1049 | 2025-07-24 03:39:26 | tear | 1 | 13983 | 25 | 1.636 | 8547.1 |
1048 | 2025-07-22 08:30:19 | tear | 1 | 13983 | 25 | 0.263 | 53167.3 |
1047 | 2025-07-21 16:34:07 | tear | 1 | 13983 | 25 | 1.110 | 12597.3 |
1046 | 2025-07-19 14:27:40 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
1045 | 2025-07-18 22:10:41 | tear | 1 | 13983 | 25 | 1.156 | 12096.0 |
1044 | 2025-07-12 21:45:19 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
1043 | 2025-07-08 12:49:44 | tear | 1 | 13983 | 25 | 0.906 | 15433.8 |
1042 | 2025-07-07 02:38:15 | tear | 1 | 13983 | 25 | 0.716 | 19529.3 |
1041 | 2025-07-02 09:38:59 | tear | 1 | 13983 | 25 | 1.313 | 10649.7 |
1040 | 2025-07-02 04:25:31 | tear | 1 | 13983 | 25 | 0.750 | 18644.0 |
1039 | 2025-07-01 15:16:39 | tear | 1 | 13983 | 25 | 0.516 | 27098.8 |
1038 | 2025-06-29 09:37:12 | tear | 1 | 13983 | 25 | 0.296 | 47239.9 |
1037 | 2025-06-27 05:56:20 | tear | 2 | 29872 | 309 | 4.736 | 6307.4 |
1036 | 2025-06-21 10:53:17 | tear | 2 | 29872 | 309 | 6.296 | 4744.6 |
1035 | 2025-06-18 17:38:21 | tear | 1 | 13983 | 25 | 0.673 | 20777.1 |
1034 | 2025-06-18 02:45:17 | tear | 1 | 13983 | 25 | 1.080 | 12947.2 |
1033 | 2025-06-13 01:39:00 | tear | 2 | 29872 | 309 | 0.766 | 38997.4 |
1032 | 2025-06-12 21:37:42 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
1031 | 2025-06-07 07:17:29 | tear | 1 | 13983 | 25 | 0.596 | 23461.4 |
1030 | 2025-06-03 01:58:49 | tear | 2 | 29872 | 309 | 0.750 | 39829.3 |
1029 | 2025-06-02 22:02:56 | tear | 2 | 29872 | 309 | 4.280 | 6979.4 |
1028 | 2025-06-02 08:56:25 | tear | 1 | 13983 | 25 | 0.716 | 19529.3 |
1027 | 2025-06-02 04:58:49 | tear | 2 | 29872 | 309 | 4.486 | 6658.9 |
1026 | 2025-06-02 03:44:44 | tear | 1 | 13983 | 25 | 0.906 | 15433.8 |
1025 | 2025-06-01 12:56:18 | tear | 2 | 29872 | 309 | 0.813 | 36742.9 |
1024 | 2025-06-01 00:27:44 | tear | 2 | 29872 | 309 | 3.736 | 7995.7 |
1023 | 2025-05-30 21:31:57 | tear | 2 | 29872 | 309 | 6.390 | 4674.8 |
1022 | 2025-05-30 12:53:16 | tear | 1 | 13983 | 25 | 0.326 | 42892.6 |
1021 | 2025-05-29 09:49:10 | tear | 1 | 13983 | 25 | 1.266 | 11045.0 |
1020 | 2025-05-27 19:35:15 | tear | 1 | 13983 | 25 | 0.686 | 20383.4 |
1019 | 2025-05-26 13:43:35 | tear | 2 | 29872 | 309 | 3.813 | 7834.3 |
1018 | 2025-05-23 22:03:42 | tear | 1 | 13983 | 25 | 0.686 | 20383.4 |
1017 | 2025-05-20 10:21:08 | tear | 2 | 29872 | 309 | 5.936 | 5032.3 |
1016 | 2025-05-18 18:34:18 | tear | 1 | 13983 | 25 | 0.546 | 25609.9 |
1015 | 2025-05-18 15:54:32 | tear | 1 | 13983 | 25 | 0.283 | 49409.9 |
1014 | 2025-05-18 01:09:25 | tear | 2 | 29872 | 309 | 4.423 | 6753.8 |
1013 | 2025-05-16 23:19:59 | tear | 2 | 29872 | 309 | 0.936 | 31914.5 |
1012 | 2025-05-15 16:06:59 | tear | 2 | 29872 | 309 | 2.280 | 13101.8 |
1011 | 2025-05-12 01:44:06 | tear | 2 | 29872 | 309 | 6.516 | 4584.4 |
1010 | 2025-05-09 10:42:49 | tear | 1 | 13983 | 25 | 0.516 | 27098.8 |
1009 | 2025-05-08 05:13:37 | tear | 1 | 13983 | 25 | 2.046 | 6834.3 |
1008 | 2025-05-02 22:06:44 | tear | 2 | 29872 | 309 | 2.236 | 13359.6 |
1007 | 2025-05-02 09:43:24 | tear | 1 | 13983 | 25 | 1.436 | 9737.5 |
1006 | 2025-05-02 03:39:50 | tear | 1 | 13983 | 25 | 0.953 | 14672.6 |
1005 | 2025-05-01 11:33:53 | tear | 2 | 29872 | 309 | 0.783 | 38150.7 |
1004 | 2025-05-01 00:17:39 | tear | 2 | 29872 | 309 | 2.330 | 12820.6 |
1003 | 2025-04-30 23:22:45 | tear | 1 | 13983 | 25 | 1.390 | 10059.7 |
1002 | 2025-04-30 00:38:37 | tear | 2 | 29872 | 309 | 4.530 | 6594.3 |
1001 | 2025-04-28 12:19:54 | tear | 2 | 29872 | 309 | 4.330 | 6898.8 |
1000 | 2025-04-28 09:51:55 | tear | 1 | 13983 | 25 | 0.983 | 14224.8 |
999 | 2025-04-28 04:37:37 | tear | 2 | 29872 | 309 | 4.893 | 6105.0 |
998 | 2025-04-27 06:41:00 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
997 | 2025-04-27 06:37:13 | tear | 1 | 13983 | 25 | 0.283 | 49409.9 |
996 | 2025-04-26 23:02:31 | tear | 2 | 29872 | 309 | 0.876 | 34100.5 |
995 | 2025-04-20 09:38:05 | tear | 2 | 29872 | 309 | 5.173 | 5774.6 |
994 | 2025-04-18 17:09:53 | tear | 1 | 13983 | 25 | 0.313 | 44674.1 |
993 | 2025-04-15 15:54:51 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
992 | 2025-04-06 11:35:05 | tear | 1 | 13983 | 25 | 1.420 | 9847.2 |
991 | 2025-04-01 22:19:05 | tear | 2 | 29872 | 309 | 2.126 | 14050.8 |
990 | 2025-04-01 10:12:46 | tear | 1 | 13983 | 25 | 0.670 | 20870.1 |
989 | 2025-03-31 20:28:48 | tear | 1 | 13983 | 25 | 1.360 | 10281.6 |
988 | 2025-03-28 05:33:07 | tear | 1 | 13983 | 25 | 0.236 | 59250.0 |
987 | 2025-03-21 23:54:40 | tear | 2 | 29872 | 309 | 0.890 | 33564.0 |
986 | 2025-03-20 12:14:33 | tear | 2 | 29872 | 309 | 2.080 | 14361.5 |
985 | 2025-03-18 19:20:05 | tear | 1 | 13983 | 25 | 0.233 | 60012.9 |
984 | 2025-03-14 21:21:27 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
983 | 2025-03-07 02:57:12 | tear | 2 | 29872 | 309 | 3.860 | 7738.9 |
982 | 2025-03-07 02:35:58 | tear | 1 | 13983 | 25 | 0.263 | 53167.3 |
981 | 2025-02-27 14:43:48 | tear | 1 | 13983 | 25 | 0.703 | 19890.5 |
980 | 2025-02-27 14:41:41 | tear | 1 | 13983 | 25 | 1.686 | 8293.6 |
979 | 2025-02-25 09:07:09 | tear | 1 | 13983 | 25 | 1.343 | 10411.8 |
978 | 2025-02-25 03:09:39 | tear | 2 | 29872 | 309 | 1.920 | 15558.3 |
977 | 2025-02-25 02:58:08 | tear | 1 | 13983 | 25 | 0.596 | 23461.4 |
976 | 2025-02-24 23:22:28 | tear | 2 | 29872 | 309 | 2.610 | 11445.2 |
975 | 2025-02-24 23:19:38 | tear | 1 | 13983 | 25 | 1.733 | 8068.7 |
974 | 2025-02-23 00:30:52 | tear | 1 | 13983 | 25 | 1.580 | 8850.0 |
973 | 2025-02-15 04:28:26 | tear | 1 | 13983 | 25 | 0.720 | 19420.8 |
972 | 2025-02-15 03:48:01 | tear | 1 | 13983 | 25 | 0.966 | 14475.2 |
971 | 2025-02-05 02:40:26 | tear | 2 | 29872 | 309 | 2.140 | 13958.9 |
970 | 2025-02-05 02:11:13 | tear | 1 | 13983 | 25 | 0.283 | 49409.9 |
969 | 2025-01-26 03:03:00 | tear | 2 | 29872 | 309 | 3.343 | 8935.7 |
968 | 2025-01-26 00:43:30 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
967 | 2025-01-25 19:44:12 | tear | 2 | 29872 | 309 | 4.110 | 7268.1 |
966 | 2025-01-25 19:29:38 | tear | 2 | 29872 | 309 | 6.453 | 4629.2 |
965 | 2025-01-25 18:52:59 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |