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 |
| 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 |
| 985 | 2025-01-21 19:38:37 | subset | 3 | 112716 | 519 | 14.270 | 7898.8 |
| 984 | 2025-01-21 03:22:09 | subset | 3 | 112716 | 519 | 29.643 | 3802.4 |
| 983 | 2025-01-10 11:06:16 | subset | 3 | 112716 | 519 | 24.470 | 4606.3 |
| 982 | 2025-01-10 06:08:40 | subset | 1 | 48755 | 7 | 2.360 | 20658.9 |
| 981 | 2025-01-06 22:44:32 | subset | 2 | 82551 | 38 | 12.670 | 6515.5 |
| 980 | 2025-01-06 22:44:24 | subset | 1 | 48755 | 7 | 2.313 | 21078.7 |
| 979 | 2024-12-21 06:15:48 | subset | 3 | 112716 | 519 | 36.976 | 3048.4 |
| 978 | 2024-12-21 02:24:21 | subset | 3 | 112716 | 519 | 20.376 | 5531.8 |
| 977 | 2024-12-20 19:58:26 | subset | 3 | 112716 | 519 | 40.423 | 2788.4 |
| 976 | 2024-12-20 19:58:36 | subset | 2 | 82551 | 38 | 12.110 | 6816.8 |
| 975 | 2024-12-20 19:58:16 | subset | 1 | 48755 | 7 | 3.296 | 14792.2 |
| 974 | 2024-12-20 04:43:00 | subset | 3 | 112716 | 519 | 14.063 | 8015.1 |
| 973 | 2024-12-19 13:13:20 | subset | 3 | 112716 | 519 | 28.923 | 3897.1 |
| 972 | 2024-12-17 05:30:25 | subset | 3 | 112716 | 519 | 43.066 | 2617.3 |
| 971 | 2024-12-10 16:40:40 | subset | 1 | 48755 | 7 | 4.233 | 11517.8 |
| 970 | 2024-12-06 19:48:55 | subset | 1 | 48755 | 7 | 4.423 | 11023.1 |
| 969 | 2024-11-20 16:53:35 | subset | 3 | 112716 | 519 | 17.516 | 6435.0 |
| 968 | 2024-11-20 09:03:59 | subset | 2 | 82551 | 38 | 11.440 | 7216.0 |
| 967 | 2024-11-20 09:03:56 | subset | 3 | 112716 | 519 | 11.873 | 9493.5 |
| 966 | 2024-11-20 09:03:51 | subset | 1 | 48755 | 7 | 0.843 | 57835.1 |
| 965 | 2024-11-19 06:22:13 | subset | 1 | 48755 | 7 | 8.873 | 5494.8 |
| 964 | 2024-11-10 08:42:35 | subset | 1 | 48755 | 7 | 1.720 | 28345.9 |
| 963 | 2024-11-06 14:36:52 | subset | 1 | 48755 | 7 | 2.163 | 22540.5 |
| 962 | 2024-10-30 14:55:04 | subset | 1 | 48755 | 7 | 3.280 | 14864.3 |
| 961 | 2024-10-20 14:48:20 | subset | 1 | 48755 | 7 | 4.406 | 11065.6 |
| 960 | 2024-10-18 23:46:07 | subset | 1 | 48755 | 7 | 2.466 | 19770.9 |
| 959 | 2024-10-07 13:59:46 | subset | 1 | 48755 | 7 | 3.516 | 13866.6 |
| 958 | 2024-09-17 04:55:46 | subset | 1 | 48755 | 7 | 9.266 | 5261.7 |
| 957 | 2024-09-05 18:46:45 | subset | 3 | 112716 | 519 | 27.750 | 4061.8 |
| 956 | 2024-09-05 18:46:44 | subset | 2 | 82551 | 38 | 19.266 | 4284.8 |
| 955 | 2024-09-05 18:46:33 | subset | 1 | 48755 | 7 | 4.563 | 10684.9 |
| 954 | 2024-09-05 18:22:03 | subset | 1 | 48755 | 7 | 8.343 | 5843.8 |