History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coals"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1037 | 2026-02-09 00:54:25 | coals | 1 | 28756 | 15 | 0.560 | 51350.0 |
| 1036 | 2026-02-07 13:01:56 | coals | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1035 | 2026-02-06 06:27:24 | coals | 1 | 28756 | 15 | 0.470 | 61183.0 |
| 1034 | 2026-02-06 03:43:43 | coals | 1 | 28756 | 15 | 0.533 | 53951.2 |
| 1033 | 2026-02-05 20:22:54 | coals | 1 | 28756 | 15 | 0.560 | 51350.0 |
| 1032 | 2026-02-05 08:57:53 | coals | 1 | 28756 | 15 | 0.563 | 51076.4 |
| 1031 | 2026-02-05 05:58:20 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1030 | 2026-02-04 22:36:50 | coals | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 1029 | 2026-02-04 22:14:22 | coals | 1 | 28756 | 15 | 0.483 | 59536.2 |
| 1028 | 2026-02-04 20:31:57 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1027 | 2026-02-04 17:24:54 | coals | 1 | 28756 | 15 | 0.483 | 59536.2 |
| 1026 | 2026-02-04 16:13:26 | coals | 1 | 28756 | 15 | 1.123 | 25606.4 |
| 1025 | 2026-02-03 20:05:50 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1024 | 2026-02-03 14:58:30 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1023 | 2026-02-03 09:29:45 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1022 | 2026-02-03 06:17:47 | coals | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 1021 | 2026-02-03 05:54:21 | coals | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 1020 | 2026-02-03 04:28:48 | coals | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 1019 | 2026-02-03 04:14:04 | coals | 1 | 28756 | 15 | 0.483 | 59536.2 |
| 1018 | 2026-01-27 05:34:23 | coals | 1 | 28756 | 15 | 2.610 | 11017.6 |
| 1017 | 2026-01-22 12:09:00 | coals | 1 | 28756 | 15 | 2.483 | 11581.2 |
| 1016 | 2026-01-22 12:08:53 | coals | 1 | 28756 | 15 | 1.720 | 16718.6 |
| 1015 | 2026-01-16 03:34:13 | coals | 1 | 28756 | 15 | 1.063 | 27051.7 |
| 1014 | 2026-01-15 12:45:45 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1013 | 2026-01-04 21:40:19 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1012 | 2026-01-04 11:26:49 | coals | 1 | 28756 | 15 | 1.373 | 20943.9 |
| 1011 | 2026-01-04 11:26:45 | coals | 1 | 28756 | 15 | 1.390 | 20687.8 |
| 1010 | 2025-12-28 05:13:53 | coals | 1 | 28756 | 15 | 0.470 | 61183.0 |
| 1009 | 2025-12-28 01:59:15 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1008 | 2025-12-21 18:41:42 | coals | 1 | 28756 | 15 | 0.563 | 51076.4 |
| 1007 | 2025-12-21 17:01:07 | coals | 1 | 28756 | 15 | 0.550 | 52283.6 |
| 1006 | 2025-12-19 21:26:09 | coals | 1 | 28756 | 15 | 0.563 | 51076.4 |
| 1005 | 2025-12-18 23:08:12 | coals | 1 | 28756 | 15 | 0.906 | 31739.5 |
| 1004 | 2025-12-03 17:45:27 | coals | 2 | 53800 | 298 | 1.766 | 30464.3 |
| 1003 | 2025-12-02 07:19:24 | coals | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 1002 | 2025-11-30 18:19:36 | coals | 2 | 53800 | 298 | 1.623 | 33148.5 |
| 1001 | 2025-11-24 10:29:59 | coals | 2 | 53800 | 298 | 1.796 | 29955.5 |
| 1000 | 2025-11-24 08:57:52 | coals | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 999 | 2025-11-18 12:22:08 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 998 | 2025-11-15 23:05:59 | coals | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 997 | 2025-11-14 15:45:51 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 996 | 2025-11-13 21:43:20 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 995 | 2025-11-11 01:22:19 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 994 | 2025-10-28 00:53:31 | coals | 1 | 28756 | 15 | 0.470 | 61183.0 |
| 993 | 2025-10-23 06:59:56 | coals | 1 | 28756 | 15 | 1.966 | 14626.7 |
| 992 | 2025-10-20 12:38:14 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 991 | 2025-10-16 11:27:47 | coals | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 990 | 2025-10-04 22:39:22 | coals | 1 | 28756 | 15 | 0.550 | 52283.6 |
| 989 | 2025-09-25 21:45:19 | coals | 1 | 28756 | 15 | 2.190 | 13130.6 |
| 988 | 2025-09-23 19:34:49 | coals | 1 | 28756 | 15 | 0.483 | 59536.2 |
| 987 | 2025-09-19 03:18:05 | coals | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 986 | 2025-09-03 08:21:00 | coals | 1 | 28756 | 15 | 1.033 | 27837.4 |
| 985 | 2025-08-31 23:56:29 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 984 | 2025-08-17 01:09:18 | coals | 1 | 28756 | 15 | 1.906 | 15087.1 |
| 983 | 2025-08-13 20:28:19 | coals | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 982 | 2025-08-11 08:36:48 | coals | 1 | 28756 | 15 | 2.140 | 13437.4 |
| 981 | 2025-08-08 20:50:01 | coals | 1 | 28756 | 15 | 2.376 | 12102.7 |
| 980 | 2025-08-04 08:44:12 | coals | 1 | 28756 | 15 | 1.733 | 16593.2 |
| 979 | 2025-08-04 05:06:20 | coals | 1 | 28756 | 15 | 2.296 | 12524.4 |
| 978 | 2025-08-01 13:42:43 | coals | 1 | 28756 | 15 | 1.390 | 20687.8 |
| 977 | 2025-08-01 08:43:24 | coals | 1 | 28756 | 15 | 2.326 | 12362.9 |
| 976 | 2025-07-28 12:44:15 | coals | 1 | 28756 | 15 | 1.173 | 24514.9 |
| 975 | 2025-07-24 21:00:17 | coals | 1 | 28756 | 15 | 1.080 | 26625.9 |
| 974 | 2025-07-17 19:34:16 | coals | 2 | 53800 | 298 | 5.983 | 8992.1 |
| 973 | 2025-07-17 13:34:05 | coals | 1 | 28756 | 15 | 2.516 | 11429.3 |
| 972 | 2025-07-16 03:09:16 | coals | 1 | 28756 | 15 | 0.906 | 31739.5 |
| 971 | 2025-07-15 00:31:07 | coals | 2 | 53800 | 298 | 7.423 | 7247.7 |
| 970 | 2025-07-14 21:54:23 | coals | 2 | 53800 | 298 | 8.156 | 6596.4 |
| 969 | 2025-07-12 14:31:20 | coals | 2 | 53800 | 298 | 1.686 | 31909.8 |
| 968 | 2025-07-09 20:14:55 | coals | 1 | 28756 | 15 | 1.156 | 24875.4 |
| 967 | 2025-07-07 11:16:56 | coals | 1 | 28756 | 15 | 1.170 | 24577.8 |
| 966 | 2025-07-07 09:36:40 | coals | 2 | 53800 | 298 | 8.063 | 6672.5 |
| 965 | 2025-07-04 03:06:41 | coals | 1 | 28756 | 15 | 3.953 | 7274.5 |
| 964 | 2025-07-03 08:47:06 | coals | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 963 | 2025-07-02 12:47:23 | coals | 1 | 28756 | 15 | 3.546 | 8109.4 |
| 962 | 2025-06-30 16:50:44 | coals | 1 | 28756 | 15 | 3.156 | 9111.5 |
| 961 | 2025-06-30 09:46:57 | coals | 2 | 53800 | 298 | 10.936 | 4919.5 |
| 960 | 2025-06-29 07:58:44 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 959 | 2025-06-28 20:59:24 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 958 | 2025-06-16 02:22:04 | coals | 1 | 28756 | 15 | 2.390 | 12031.8 |
| 957 | 2025-06-15 12:32:39 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 956 | 2025-06-11 06:13:11 | coals | 2 | 53800 | 298 | 8.390 | 6412.4 |
| 955 | 2025-06-10 18:15:26 | coals | 1 | 28756 | 15 | 1.423 | 20208.0 |
| 954 | 2025-06-08 07:45:48 | coals | 2 | 53800 | 298 | 12.406 | 4336.6 |
| 953 | 2025-06-08 05:08:55 | coals | 1 | 28756 | 15 | 2.343 | 12273.2 |
| 952 | 2025-06-07 20:31:36 | coals | 1 | 28756 | 15 | 1.653 | 17396.2 |
| 951 | 2025-06-05 13:06:35 | coals | 2 | 53800 | 298 | 4.060 | 13251.2 |
| 950 | 2025-06-02 09:00:43 | coals | 1 | 28756 | 15 | 1.986 | 14479.4 |
| 949 | 2025-05-30 07:14:01 | coals | 1 | 28756 | 15 | 2.250 | 12780.4 |
| 948 | 2025-05-26 23:55:15 | coals | 2 | 53800 | 298 | 6.410 | 8393.1 |
| 947 | 2025-05-23 22:36:08 | coals | 1 | 28756 | 15 | 2.236 | 12860.5 |
| 946 | 2025-05-23 08:05:29 | coals | 1 | 28756 | 15 | 1.233 | 23322.0 |
| 945 | 2025-05-23 03:38:19 | coals | 1 | 28756 | 15 | 2.703 | 10638.5 |
| 944 | 2025-05-19 04:41:28 | coals | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 943 | 2025-05-10 13:26:09 | coals | 2 | 53800 | 298 | 8.360 | 6435.4 |
| 942 | 2025-05-09 14:42:03 | coals | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 941 | 2025-05-08 19:15:50 | coals | 2 | 53800 | 298 | 4.436 | 12128.0 |
| 940 | 2025-05-07 20:37:59 | coals | 1 | 28756 | 15 | 1.343 | 21411.8 |
| 939 | 2025-05-05 18:30:12 | coals | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 938 | 2025-05-05 13:52:51 | coals | 2 | 53800 | 298 | 7.983 | 6739.3 |