History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"subset"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1085 | 2025-09-01 03:08:43 | subset | 3 | 112716 | 519 | 5.453 | 20670.5 |
1084 | 2025-08-31 22:31:44 | subset | 1 | 48755 | 7 | 0.780 | 62506.4 |
1083 | 2025-08-31 06:50:21 | subset | 3 | 112716 | 519 | 4.950 | 22770.9 |
1082 | 2025-08-29 18:02:49 | subset | 2 | 82551 | 38 | 2.610 | 31628.7 |
1081 | 2025-08-29 11:04:52 | subset | 2 | 82551 | 38 | 3.876 | 21298.0 |
1080 | 2025-08-28 22:46:22 | subset | 2 | 82551 | 38 | 2.516 | 32810.4 |
1079 | 2025-08-28 15:38:25 | subset | 3 | 112716 | 519 | 5.860 | 19234.8 |
1078 | 2025-08-28 14:38:55 | subset | 2 | 82551 | 38 | 2.250 | 36689.3 |
1077 | 2025-08-28 09:37:28 | subset | 3 | 112716 | 519 | 6.033 | 18683.2 |
1076 | 2025-08-28 07:28:36 | subset | 2 | 82551 | 38 | 2.266 | 36430.3 |
1075 | 2025-08-28 05:29:16 | subset | 3 | 112716 | 519 | 4.783 | 23566.0 |
1074 | 2025-08-28 01:53:42 | subset | 3 | 112716 | 519 | 5.186 | 21734.7 |
1073 | 2025-08-27 21:48:44 | subset | 1 | 48755 | 7 | 0.796 | 61250.0 |
1072 | 2025-08-27 19:59:24 | subset | 3 | 112716 | 519 | 5.640 | 19985.1 |
1071 | 2025-08-27 19:12:02 | subset | 3 | 112716 | 519 | 28.720 | 3924.7 |
1070 | 2025-08-27 10:26:06 | subset | 3 | 112716 | 519 | 5.186 | 21734.7 |
1069 | 2025-08-26 21:39:22 | subset | 3 | 112716 | 519 | 5.533 | 20371.6 |
1068 | 2025-08-25 16:42:14 | subset | 1 | 48755 | 7 | 6.250 | 7800.8 |
1067 | 2025-08-25 16:39:48 | subset | 3 | 112716 | 519 | 26.656 | 4228.5 |
1066 | 2025-08-23 07:13:40 | subset | 3 | 112716 | 519 | 28.686 | 3929.3 |
1065 | 2025-08-22 20:45:45 | subset | 2 | 82551 | 38 | 18.300 | 4511.0 |
1064 | 2025-08-22 11:26:44 | subset | 1 | 48755 | 7 | 2.266 | 21515.9 |
1063 | 2025-08-22 01:41:04 | subset | 1 | 48755 | 7 | 0.890 | 54780.9 |
1062 | 2025-08-09 00:37:17 | subset | 1 | 48755 | 7 | 3.953 | 12333.7 |
1061 | 2025-08-05 17:07:27 | subset | 1 | 48755 | 7 | 3.780 | 12898.1 |
1060 | 2025-08-04 13:50:30 | subset | 1 | 48755 | 7 | 2.390 | 20399.6 |
1059 | 2025-07-27 00:27:45 | subset | 1 | 48755 | 7 | 3.250 | 15001.5 |
1058 | 2025-07-24 22:11:35 | subset | 1 | 48755 | 7 | 1.546 | 31536.2 |
1057 | 2025-07-23 11:39:13 | subset | 1 | 48755 | 7 | 3.373 | 14454.5 |
1056 | 2025-07-23 08:08:26 | subset | 1 | 48755 | 7 | 4.203 | 11600.0 |
1055 | 2025-07-22 14:11:21 | subset | 1 | 48755 | 7 | 2.076 | 23485.1 |
1054 | 2025-07-20 21:21:56 | subset | 1 | 48755 | 7 | 0.920 | 52994.6 |
1053 | 2025-07-10 21:17:09 | subset | 2 | 82551 | 38 | 9.440 | 8744.8 |
1052 | 2025-07-09 14:44:53 | subset | 1 | 48755 | 7 | 0.876 | 55656.4 |
1051 | 2025-07-08 21:56:24 | subset | 1 | 48755 | 7 | 0.796 | 61250.0 |
1050 | 2025-07-07 10:17:01 | subset | 3 | 112716 | 519 | 38.316 | 2941.7 |
1049 | 2025-07-07 02:25:50 | subset | 3 | 112716 | 519 | 19.673 | 5729.5 |
1048 | 2025-07-07 00:13:04 | subset | 2 | 82551 | 38 | 17.656 | 4675.5 |
1047 | 2025-07-05 16:55:37 | subset | 3 | 112716 | 519 | 30.063 | 3749.3 |
1046 | 2025-07-05 10:28:24 | subset | 2 | 82551 | 38 | 12.813 | 6442.8 |
1045 | 2025-07-04 12:17:20 | subset | 1 | 48755 | 7 | 4.720 | 10329.4 |
1044 | 2025-06-29 06:37:06 | subset | 1 | 48755 | 7 | 3.716 | 13120.3 |
1043 | 2025-06-26 23:15:47 | subset | 1 | 48755 | 7 | 3.983 | 12240.8 |
1042 | 2025-06-20 20:52:03 | subset | 1 | 48755 | 7 | 4.436 | 10990.8 |
1041 | 2025-06-18 11:58:32 | subset | 1 | 48755 | 7 | 1.813 | 26891.9 |
1040 | 2025-06-13 21:06:16 | subset | 2 | 82551 | 38 | 13.703 | 6024.3 |
1039 | 2025-06-13 01:13:45 | subset | 1 | 48755 | 7 | 4.436 | 10990.8 |
1038 | 2025-06-08 13:56:27 | subset | 1 | 48755 | 7 | 5.140 | 9485.4 |
1037 | 2025-06-04 11:06:42 | subset | 1 | 48755 | 7 | 1.860 | 26212.4 |
1036 | 2025-05-30 05:16:12 | subset | 1 | 48755 | 7 | 0.890 | 54780.9 |
1035 | 2025-05-26 08:43:44 | subset | 1 | 48755 | 7 | 2.093 | 23294.3 |
1034 | 2025-05-26 00:19:20 | subset | 3 | 112716 | 519 | 30.286 | 3721.7 |
1033 | 2025-05-24 16:10:35 | subset | 3 | 112716 | 519 | 28.830 | 3909.7 |
1032 | 2025-05-24 02:09:10 | subset | 3 | 112716 | 519 | 28.176 | 4000.4 |
1031 | 2025-05-23 15:48:54 | subset | 3 | 112716 | 519 | 23.360 | 4825.2 |
1030 | 2025-05-22 21:16:57 | subset | 3 | 112716 | 519 | 5.453 | 20670.5 |
1029 | 2025-05-18 14:11:39 | subset | 1 | 48755 | 7 | 4.060 | 12008.6 |
1028 | 2025-05-12 02:12:14 | subset | 1 | 48755 | 7 | 4.046 | 12050.2 |
1027 | 2025-05-06 14:11:23 | subset | 1 | 48755 | 7 | 3.983 | 12240.8 |
1026 | 2025-05-01 23:39:39 | subset | 2 | 82551 | 38 | 16.533 | 4993.1 |
1025 | 2025-05-01 11:12:28 | subset | 1 | 48755 | 7 | 2.063 | 23633.1 |
1024 | 2025-04-28 01:08:03 | subset | 2 | 82551 | 38 | 12.906 | 6396.3 |
1023 | 2025-04-27 06:58:53 | subset | 3 | 112716 | 519 | 5.766 | 19548.4 |
1022 | 2025-04-24 15:20:17 | subset | 3 | 112716 | 519 | 30.016 | 3755.2 |
1021 | 2025-04-24 08:49:44 | subset | 3 | 112716 | 519 | 25.663 | 4392.2 |
1020 | 2025-04-23 01:55:29 | subset | 3 | 112716 | 519 | 17.796 | 6333.8 |
1019 | 2025-04-22 22:38:41 | subset | 1 | 48755 | 7 | 4.033 | 12089.0 |
1018 | 2025-04-21 15:45:02 | subset | 3 | 112716 | 519 | 27.596 | 4084.5 |
1017 | 2025-04-20 16:10:33 | subset | 1 | 48755 | 7 | 1.626 | 29984.6 |
1016 | 2025-04-11 01:50:53 | subset | 1 | 48755 | 7 | 4.093 | 11911.8 |
1015 | 2025-04-06 13:00:39 | subset | 1 | 48755 | 7 | 2.343 | 20808.8 |
1014 | 2025-03-31 12:49:43 | subset | 1 | 48755 | 7 | 6.126 | 7958.7 |
1013 | 2025-03-20 18:37:41 | subset | 2 | 82551 | 38 | 16.393 | 5035.7 |
1012 | 2025-03-20 18:20:38 | subset | 1 | 48755 | 7 | 4.016 | 12140.2 |
1011 | 2025-03-18 05:37:38 | subset | 3 | 112716 | 519 | 21.206 | 5315.3 |
1010 | 2025-03-17 18:14:08 | subset | 3 | 112716 | 519 | 31.610 | 3565.8 |
1009 | 2025-03-17 18:12:42 | subset | 1 | 48755 | 7 | 4.360 | 11182.3 |
1008 | 2025-03-17 18:12:31 | subset | 2 | 82551 | 38 | 12.563 | 6571.0 |
1007 | 2025-03-17 15:10:48 | subset | 3 | 112716 | 519 | 26.923 | 4186.6 |
1006 | 2025-03-17 10:47:15 | subset | 3 | 112716 | 519 | 16.563 | 6805.3 |
1005 | 2025-03-11 23:52:17 | subset | 1 | 48755 | 7 | 1.626 | 29984.6 |
1004 | 2025-03-07 04:48:17 | subset | 1 | 48755 | 7 | 4.096 | 11903.1 |
1003 | 2025-03-03 08:54:26 | subset | 2 | 82551 | 38 | 5.203 | 15866.0 |
1002 | 2025-03-03 08:53:58 | subset | 3 | 112716 | 519 | 9.143 | 12328.1 |
1001 | 2025-03-02 02:01:43 | subset | 3 | 112716 | 519 | 30.063 | 3749.3 |
1000 | 2025-03-01 15:16:16 | subset | 3 | 112716 | 519 | 39.770 | 2834.2 |
999 | 2025-03-01 02:04:49 | subset | 3 | 112716 | 519 | 18.283 | 6165.1 |
998 | 2025-02-25 20:59:12 | subset | 1 | 48755 | 7 | 4.000 | 12188.8 |
997 | 2025-02-13 20:02:59 | subset | 3 | 112716 | 519 | 27.110 | 4157.7 |
996 | 2025-02-13 11:41:04 | subset | 1 | 48755 | 7 | 2.313 | 21078.7 |
995 | 2025-02-13 11:27:13 | subset | 2 | 82551 | 38 | 2.220 | 37185.1 |
994 | 2025-02-11 15:49:58 | subset | 3 | 112716 | 519 | 29.830 | 3778.6 |
993 | 2025-02-10 11:27:13 | subset | 3 | 112716 | 519 | 27.566 | 4089.0 |
992 | 2025-02-10 05:57:43 | subset | 1 | 48755 | 7 | 5.670 | 8598.8 |
991 | 2025-02-09 23:21:01 | subset | 3 | 112716 | 519 | 35.673 | 3159.7 |
990 | 2025-02-06 00:51:02 | subset | 1 | 48755 | 7 | 2.266 | 21515.9 |
989 | 2025-01-26 01:17:43 | subset | 1 | 48755 | 7 | 3.266 | 14928.0 |
988 | 2025-01-24 20:41:05 | subset | 2 | 82551 | 38 | 2.610 | 31628.7 |
987 | 2025-01-24 01:52:05 | subset | 2 | 82551 | 38 | 12.453 | 6629.0 |
986 | 2025-01-24 01:51:27 | subset | 1 | 48755 | 7 | 4.703 | 10366.8 |