History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"herd"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1035 | 2026-01-17 18:40:03 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 1034 | 2026-01-17 17:20:10 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1033 | 2026-01-17 16:07:02 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1032 | 2026-01-15 07:44:40 | herd | 1 | 13983 | 17 | 0.453 | 30867.5 |
| 1031 | 2026-01-14 12:39:37 | herd | 1 | 13983 | 17 | 1.266 | 11045.0 |
| 1030 | 2026-01-14 12:39:03 | herd | 1 | 13983 | 17 | 1.360 | 10281.6 |
| 1029 | 2026-01-13 02:28:23 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1028 | 2026-01-12 11:43:24 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1027 | 2026-01-12 11:41:50 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1026 | 2026-01-08 18:05:12 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1025 | 2026-01-07 23:49:52 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1024 | 2026-01-06 04:32:15 | herd | 1 | 13983 | 17 | 0.656 | 21315.5 |
| 1023 | 2025-12-28 11:07:19 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1022 | 2025-12-27 15:30:03 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1021 | 2025-12-27 11:35:46 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1020 | 2025-12-27 04:03:41 | herd | 1 | 13983 | 17 | 0.486 | 28771.6 |
| 1019 | 2025-12-26 13:42:30 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1018 | 2025-12-24 21:00:31 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1017 | 2025-12-19 01:35:35 | herd | 1 | 13983 | 17 | 1.080 | 12947.2 |
| 1016 | 2025-12-18 13:10:31 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1015 | 2025-12-16 00:37:53 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1014 | 2025-12-14 11:00:15 | herd | 1 | 13983 | 17 | 0.530 | 26383.0 |
| 1013 | 2025-12-14 00:07:14 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1012 | 2025-12-10 00:38:39 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1011 | 2025-12-04 05:30:06 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1010 | 2025-12-03 00:13:57 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 1009 | 2025-12-02 14:32:09 | herd | 1 | 13983 | 17 | 0.453 | 30867.5 |
| 1008 | 2025-12-02 03:15:14 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1007 | 2025-12-01 23:05:13 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1006 | 2025-11-28 17:41:32 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1005 | 2025-11-27 03:32:06 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1004 | 2025-11-25 09:16:07 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1003 | 2025-11-24 04:22:32 | herd | 1 | 13983 | 17 | 0.420 | 33292.9 |
| 1002 | 2025-11-24 02:28:29 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1001 | 2025-11-22 18:17:15 | herd | 2 | 29872 | 263 | 2.206 | 13541.3 |
| 1000 | 2025-11-21 02:53:21 | herd | 2 | 29872 | 263 | 0.860 | 34734.9 |
| 999 | 2025-11-20 05:28:56 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 998 | 2025-11-19 02:39:42 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 997 | 2025-11-18 23:03:42 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 996 | 2025-11-18 18:42:43 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 995 | 2025-11-18 09:28:12 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 994 | 2025-11-18 05:35:19 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 993 | 2025-11-17 11:33:45 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 992 | 2025-11-14 20:12:58 | herd | 1 | 13983 | 17 | 0.280 | 49939.3 |
| 991 | 2025-11-14 13:01:04 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 990 | 2025-11-14 09:31:02 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 989 | 2025-11-13 17:52:24 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 988 | 2025-11-13 17:07:22 | herd | 1 | 13983 | 17 | 0.533 | 26234.5 |
| 987 | 2025-11-13 03:31:04 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 986 | 2025-11-12 21:20:48 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 985 | 2025-11-10 21:50:32 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 984 | 2025-11-10 20:23:27 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 983 | 2025-11-10 04:34:10 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 982 | 2025-11-06 09:15:12 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 981 | 2025-11-05 23:14:19 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 980 | 2025-11-02 15:55:59 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 979 | 2025-10-31 18:40:00 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 978 | 2025-10-30 02:33:58 | herd | 1 | 13983 | 17 | 0.280 | 49939.3 |
| 977 | 2025-10-29 13:26:40 | herd | 2 | 29872 | 263 | 0.920 | 32469.6 |
| 976 | 2025-10-28 19:06:58 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 975 | 2025-10-28 18:43:59 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 974 | 2025-10-27 18:54:52 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 973 | 2025-10-26 17:54:55 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 972 | 2025-10-26 12:11:25 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 971 | 2025-10-25 12:25:06 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 970 | 2025-10-25 10:05:51 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 969 | 2025-10-24 13:49:21 | herd | 1 | 13983 | 17 | 0.283 | 49409.9 |
| 968 | 2025-10-24 05:09:38 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 967 | 2025-10-22 23:03:56 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 966 | 2025-10-22 20:29:49 | herd | 1 | 13983 | 17 | 0.670 | 20870.1 |
| 965 | 2025-10-22 16:16:23 | herd | 1 | 13983 | 17 | 1.156 | 12096.0 |
| 964 | 2025-10-20 06:29:39 | herd | 1 | 13983 | 17 | 0.453 | 30867.5 |
| 963 | 2025-10-19 10:19:17 | herd | 1 | 13983 | 17 | 1.313 | 10649.7 |
| 962 | 2025-10-19 10:19:02 | herd | 1 | 13983 | 17 | 2.110 | 6627.0 |
| 961 | 2025-10-19 10:18:40 | herd | 1 | 13983 | 17 | 0.563 | 24836.6 |
| 960 | 2025-10-19 10:18:23 | herd | 1 | 13983 | 17 | 1.720 | 8129.7 |
| 959 | 2025-10-18 17:53:08 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 958 | 2025-10-17 18:14:57 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 957 | 2025-10-17 04:09:51 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 956 | 2025-10-12 17:26:01 | herd | 1 | 13983 | 17 | 0.280 | 49939.3 |
| 955 | 2025-10-08 17:37:00 | herd | 1 | 13983 | 17 | 0.500 | 27966.0 |
| 954 | 2025-10-07 14:46:51 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 953 | 2025-10-06 11:47:42 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 952 | 2025-10-06 06:03:58 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 951 | 2025-10-05 07:52:43 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 950 | 2025-10-04 04:21:26 | herd | 1 | 13983 | 17 | 0.843 | 16587.2 |
| 949 | 2025-10-02 21:27:43 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 948 | 2025-10-01 10:59:51 | herd | 2 | 29872 | 263 | 0.906 | 32971.3 |
| 947 | 2025-09-30 20:32:50 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 946 | 2025-09-30 12:54:06 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 945 | 2025-09-29 10:14:30 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 944 | 2025-09-28 07:18:48 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 943 | 2025-09-27 04:58:00 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 942 | 2025-09-26 05:24:12 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 941 | 2025-09-25 21:12:38 | herd | 1 | 13983 | 17 | 0.673 | 20777.1 |
| 940 | 2025-09-24 22:30:05 | herd | 1 | 13983 | 17 | 0.280 | 49939.3 |
| 939 | 2025-09-24 06:18:41 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 938 | 2025-09-23 20:35:07 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 937 | 2025-09-23 05:47:21 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 936 | 2025-09-22 20:59:37 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |