History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"good"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1032 | 2025-10-20 12:29:18 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
| 1031 | 2025-09-30 19:01:06 | good | 1 | 13983 | 19 | 0.483 | 28950.3 |
| 1030 | 2025-09-26 11:50:10 | good | 2 | 29872 | 250 | 0.906 | 32971.3 |
| 1029 | 2025-09-25 09:08:38 | good | 2 | 29872 | 250 | 2.160 | 13829.6 |
| 1028 | 2025-09-24 22:29:39 | good | 1 | 13983 | 19 | 0.236 | 59250.0 |
| 1027 | 2025-09-24 08:16:52 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 1026 | 2025-09-23 21:55:34 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 1025 | 2025-09-22 03:20:49 | good | 1 | 13983 | 19 | 0.216 | 64736.1 |
| 1024 | 2025-09-19 17:49:10 | good | 2 | 29872 | 250 | 0.830 | 35990.4 |
| 1023 | 2025-09-10 07:12:10 | good | 2 | 29872 | 250 | 0.923 | 32364.0 |
| 1022 | 2025-09-08 23:35:00 | good | 1 | 13983 | 19 | 0.266 | 52567.7 |
| 1021 | 2025-09-07 23:03:56 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 1020 | 2025-09-07 04:07:42 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
| 1019 | 2025-09-06 17:04:25 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
| 1018 | 2025-09-01 04:03:29 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 1017 | 2025-08-27 09:59:14 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 1016 | 2025-08-10 10:50:05 | good | 1 | 13983 | 19 | 1.063 | 13154.3 |
| 1015 | 2025-08-04 02:57:19 | good | 1 | 13983 | 19 | 0.656 | 21315.5 |
| 1014 | 2025-08-01 17:27:26 | good | 1 | 13983 | 19 | 0.673 | 20777.1 |
| 1013 | 2025-08-01 14:10:05 | good | 1 | 13983 | 19 | 1.156 | 12096.0 |
| 1012 | 2025-08-01 02:36:35 | good | 1 | 13983 | 19 | 1.763 | 7931.4 |
| 1011 | 2025-07-27 10:59:29 | good | 1 | 13983 | 19 | 1.016 | 13762.8 |
| 1010 | 2025-07-27 01:33:26 | good | 1 | 13983 | 19 | 0.280 | 49939.3 |
| 1009 | 2025-07-24 02:42:53 | good | 1 | 13983 | 19 | 0.670 | 20870.1 |
| 1008 | 2025-07-23 13:40:08 | good | 1 | 13983 | 19 | 1.313 | 10649.7 |
| 1007 | 2025-07-14 10:23:50 | good | 1 | 13983 | 19 | 0.970 | 14415.5 |
| 1006 | 2025-07-12 11:12:57 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
| 1005 | 2025-07-07 02:05:56 | good | 2 | 29872 | 250 | 2.420 | 12343.8 |
| 1004 | 2025-07-05 02:53:20 | good | 1 | 13983 | 19 | 1.080 | 12947.2 |
| 1003 | 2025-07-03 20:30:09 | good | 2 | 29872 | 250 | 2.250 | 13276.4 |
| 1002 | 2025-07-02 20:04:52 | good | 2 | 29872 | 250 | 5.123 | 5831.0 |
| 1001 | 2025-07-02 08:08:55 | good | 2 | 29872 | 250 | 4.436 | 6734.0 |
| 1000 | 2025-07-01 23:14:51 | good | 2 | 29872 | 250 | 2.656 | 11247.0 |
| 999 | 2025-06-30 15:41:05 | good | 2 | 29872 | 250 | 6.373 | 4687.3 |
| 998 | 2025-06-30 12:54:47 | good | 1 | 13983 | 19 | 1.220 | 11461.5 |
| 997 | 2025-06-29 00:19:24 | good | 1 | 13983 | 19 | 0.263 | 53167.3 |
| 996 | 2025-06-28 01:17:53 | good | 1 | 13983 | 19 | 0.720 | 19420.8 |
| 995 | 2025-06-18 00:37:33 | good | 1 | 13983 | 19 | 1.390 | 10059.7 |
| 994 | 2025-06-16 11:09:30 | good | 1 | 13983 | 19 | 0.876 | 15962.3 |
| 993 | 2025-06-14 09:20:41 | good | 1 | 13983 | 19 | 1.140 | 12265.8 |
| 992 | 2025-06-10 09:09:22 | good | 1 | 13983 | 19 | 1.436 | 9737.5 |
| 991 | 2025-06-04 02:41:56 | good | 1 | 13983 | 19 | 1.390 | 10059.7 |
| 990 | 2025-05-31 00:40:20 | good | 2 | 29872 | 250 | 2.940 | 10160.5 |
| 989 | 2025-05-30 11:48:55 | good | 1 | 13983 | 19 | 0.313 | 44674.1 |
| 988 | 2025-05-28 12:13:27 | good | 1 | 13983 | 19 | 0.280 | 49939.3 |
| 987 | 2025-05-27 20:19:47 | good | 1 | 13983 | 19 | 0.266 | 52567.7 |
| 986 | 2025-05-18 01:53:22 | good | 1 | 13983 | 19 | 1.360 | 10281.6 |
| 985 | 2025-05-14 10:07:52 | good | 1 | 13983 | 19 | 0.863 | 16202.8 |
| 984 | 2025-05-09 11:14:12 | good | 1 | 13983 | 19 | 0.500 | 27966.0 |
| 983 | 2025-05-09 08:39:45 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 982 | 2025-05-08 20:26:17 | good | 1 | 13983 | 19 | 1.360 | 10281.6 |
| 981 | 2025-05-08 06:21:08 | good | 2 | 29872 | 250 | 2.186 | 13665.1 |
| 980 | 2025-05-07 19:13:05 | good | 1 | 13983 | 19 | 0.703 | 19890.5 |
| 979 | 2025-05-04 02:41:15 | good | 1 | 13983 | 19 | 1.220 | 11461.5 |
| 978 | 2025-05-03 20:25:44 | good | 2 | 29872 | 250 | 3.593 | 8313.9 |
| 977 | 2025-05-02 19:29:39 | good | 2 | 29872 | 250 | 0.903 | 33080.8 |
| 976 | 2025-05-01 12:52:41 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 975 | 2025-04-29 22:57:37 | good | 2 | 29872 | 250 | 4.736 | 6307.4 |
| 974 | 2025-04-29 12:37:50 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 973 | 2025-04-12 05:34:20 | good | 2 | 29872 | 250 | 4.000 | 7468.0 |
| 972 | 2025-04-10 03:49:17 | good | 2 | 29872 | 250 | 0.750 | 39829.3 |
| 971 | 2025-04-08 08:06:15 | good | 1 | 13983 | 19 | 0.610 | 22923.0 |
| 970 | 2025-04-02 23:13:08 | good | 1 | 13983 | 19 | 1.923 | 7271.5 |
| 969 | 2025-04-02 02:42:49 | good | 1 | 13983 | 19 | 0.923 | 15149.5 |
| 968 | 2025-03-29 14:06:21 | good | 1 | 13983 | 19 | 0.890 | 15711.2 |
| 967 | 2025-03-26 00:56:56 | good | 1 | 13983 | 19 | 1.140 | 12265.8 |
| 966 | 2025-03-18 23:34:44 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
| 965 | 2025-03-14 20:40:09 | good | 1 | 13983 | 19 | 0.703 | 19890.5 |
| 964 | 2025-03-12 18:51:21 | good | 1 | 13983 | 19 | 0.936 | 14939.1 |
| 963 | 2025-03-09 10:51:58 | good | 2 | 29872 | 250 | 2.453 | 12177.7 |
| 962 | 2025-03-09 07:35:18 | good | 2 | 29872 | 250 | 2.720 | 10982.4 |
| 961 | 2025-03-08 21:20:02 | good | 2 | 29872 | 250 | 4.033 | 7406.9 |
| 960 | 2025-03-08 08:58:37 | good | 2 | 29872 | 250 | 2.593 | 11520.2 |
| 959 | 2025-03-08 08:58:20 | good | 1 | 13983 | 19 | 0.470 | 29751.1 |
| 958 | 2025-03-02 05:58:53 | good | 1 | 13983 | 19 | 1.890 | 7398.4 |
| 957 | 2025-02-26 00:24:32 | good | 1 | 13983 | 19 | 1.110 | 12597.3 |
| 956 | 2025-02-24 18:03:21 | good | 1 | 13983 | 19 | 1.423 | 9826.4 |
| 955 | 2025-02-24 13:50:08 | good | 1 | 13983 | 19 | 0.860 | 16259.3 |
| 954 | 2025-02-23 03:00:12 | good | 1 | 13983 | 19 | 0.826 | 16928.6 |
| 953 | 2025-02-20 18:42:04 | good | 2 | 29872 | 250 | 4.906 | 6088.9 |
| 952 | 2025-02-05 13:48:43 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 951 | 2025-01-30 05:29:45 | good | 2 | 29872 | 250 | 5.750 | 5195.1 |
| 950 | 2025-01-26 18:00:03 | good | 2 | 29872 | 250 | 6.233 | 4792.6 |
| 949 | 2025-01-26 10:11:19 | good | 2 | 29872 | 250 | 3.516 | 8496.0 |
| 948 | 2025-01-26 09:13:05 | good | 1 | 13983 | 19 | 0.670 | 20870.1 |
| 947 | 2025-01-25 12:03:57 | good | 1 | 13983 | 19 | 0.236 | 59250.0 |
| 946 | 2025-01-24 02:30:39 | good | 1 | 13983 | 19 | 1.093 | 12793.2 |
| 945 | 2025-01-21 07:39:16 | good | 1 | 13983 | 19 | 1.046 | 13368.1 |
| 944 | 2025-01-06 12:17:09 | good | 2 | 29872 | 250 | 2.063 | 14479.9 |
| 943 | 2025-01-06 10:21:20 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
| 942 | 2024-12-28 04:37:53 | good | 2 | 29872 | 250 | 2.206 | 13541.3 |
| 941 | 2024-12-27 12:12:18 | good | 2 | 29872 | 250 | 5.766 | 5180.7 |
| 940 | 2024-12-27 10:21:00 | good | 2 | 29872 | 250 | 3.843 | 7773.1 |
| 939 | 2024-12-27 08:53:19 | good | 1 | 13983 | 19 | 0.940 | 14875.5 |
| 938 | 2024-12-26 07:36:39 | good | 1 | 13983 | 19 | 0.670 | 20870.1 |
| 937 | 2024-12-25 01:08:49 | good | 1 | 13983 | 19 | 0.673 | 20777.1 |
| 936 | 2024-12-07 01:32:32 | good | 2 | 29872 | 250 | 1.970 | 15163.5 |
| 935 | 2024-12-06 23:44:32 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 934 | 2024-12-02 15:36:31 | good | 2 | 29872 | 250 | 4.906 | 6088.9 |
| 933 | 2024-11-27 07:55:39 | good | 1 | 13983 | 19 | 1.000 | 13983.0 |