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 |
| 1070 | 2026-04-18 14:41:17 | coals | 1 | 28756 | 15 | 1.233 | 23322.0 |
| 1069 | 2026-04-18 14:32:28 | coals | 1 | 28756 | 15 | 1.000 | 28756.0 |
| 1068 | 2026-04-17 21:25:30 | coals | 1 | 28756 | 15 | 0.703 | 40904.7 |
| 1067 | 2026-04-14 13:12:52 | coals | 1 | 28756 | 15 | 1.000 | 28756.0 |
| 1066 | 2026-04-10 20:52:46 | coals | 1 | 28756 | 15 | 2.390 | 12031.8 |
| 1065 | 2026-04-06 15:12:04 | coals | 2 | 53800 | 298 | 8.780 | 6127.6 |
| 1064 | 2026-04-06 13:07:04 | coals | 1 | 28756 | 15 | 3.906 | 7362.0 |
| 1063 | 2026-04-05 18:22:23 | coals | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 1062 | 2026-04-04 18:40:01 | coals | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1061 | 2026-04-04 05:54:39 | coals | 1 | 28756 | 15 | 0.673 | 42728.1 |
| 1060 | 2026-04-02 08:54:18 | coals | 1 | 28756 | 15 | 3.563 | 8070.7 |
| 1059 | 2026-04-01 18:53:21 | coals | 2 | 53800 | 298 | 6.203 | 8673.2 |
| 1058 | 2026-04-01 18:53:04 | coals | 2 | 53800 | 298 | 10.156 | 5297.4 |
| 1057 | 2026-04-01 18:52:44 | coals | 2 | 53800 | 298 | 6.640 | 8102.4 |
| 1056 | 2026-04-01 18:52:29 | coals | 2 | 53800 | 298 | 4.220 | 12748.8 |
| 1055 | 2026-04-01 18:52:21 | coals | 2 | 53800 | 298 | 6.003 | 8962.2 |
| 1054 | 2026-04-01 18:51:41 | coals | 2 | 53800 | 298 | 8.516 | 6317.5 |
| 1053 | 2026-04-01 18:51:30 | coals | 2 | 53800 | 298 | 6.420 | 8380.1 |
| 1052 | 2026-04-01 18:50:51 | coals | 2 | 53800 | 298 | 7.043 | 7638.8 |
| 1051 | 2026-04-01 13:42:51 | coals | 1 | 28756 | 15 | 2.390 | 12031.8 |
| 1050 | 2026-03-27 16:18:45 | coals | 1 | 28756 | 15 | 3.593 | 8003.3 |
| 1049 | 2026-03-24 04:02:11 | coals | 2 | 53800 | 298 | 8.330 | 6458.6 |
| 1048 | 2026-03-23 01:53:56 | coals | 1 | 28756 | 15 | 2.640 | 10892.4 |
| 1047 | 2026-03-18 02:05:57 | coals | 1 | 28756 | 15 | 0.486 | 59168.7 |
| 1046 | 2026-03-07 21:54:06 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 1045 | 2026-03-07 13:55:52 | coals | 1 | 28756 | 15 | 1.250 | 23004.8 |
| 1044 | 2026-03-07 05:49:21 | coals | 1 | 28756 | 15 | 0.766 | 37540.5 |
| 1043 | 2026-03-05 09:15:23 | coals | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 1042 | 2026-03-02 02:37:33 | coals | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 1041 | 2026-02-20 23:22:20 | coals | 1 | 28756 | 15 | 0.483 | 59536.2 |
| 1040 | 2026-02-20 00:57:19 | coals | 1 | 28756 | 15 | 0.983 | 29253.3 |
| 1039 | 2026-02-15 10:00:21 | coals | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 1038 | 2026-02-14 22:05:29 | coals | 1 | 28756 | 15 | 3.453 | 8327.8 |
| 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 |