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 |
| 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 |
| 937 | 2025-05-02 11:58:17 | coals | 1 | 28756 | 15 | 3.783 | 7601.4 |
| 936 | 2025-04-30 16:10:03 | coals | 1 | 28756 | 15 | 2.813 | 10222.5 |
| 935 | 2025-04-30 09:14:17 | coals | 1 | 28756 | 15 | 2.736 | 10510.2 |
| 934 | 2025-04-28 08:28:56 | coals | 1 | 28756 | 15 | 3.703 | 7765.6 |
| 933 | 2025-04-27 03:39:22 | coals | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 932 | 2025-04-27 03:36:53 | coals | 1 | 28756 | 15 | 1.406 | 20452.3 |
| 931 | 2025-04-19 04:31:13 | coals | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 930 | 2025-04-15 20:04:25 | coals | 1 | 28756 | 15 | 3.720 | 7730.1 |
| 929 | 2025-04-15 09:46:47 | coals | 1 | 28756 | 15 | 0.470 | 61183.0 |
| 928 | 2025-04-14 12:39:26 | coals | 1 | 28756 | 15 | 2.703 | 10638.5 |
| 927 | 2025-04-14 03:07:19 | coals | 1 | 28756 | 15 | 2.233 | 12877.7 |
| 926 | 2025-04-07 20:11:17 | coals | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 925 | 2025-04-02 11:28:55 | coals | 1 | 28756 | 15 | 1.703 | 16885.5 |
| 924 | 2025-03-29 18:56:50 | coals | 1 | 28756 | 15 | 2.983 | 9640.0 |
| 923 | 2025-03-14 23:10:00 | coals | 1 | 28756 | 15 | 2.436 | 11804.6 |
| 922 | 2025-03-14 07:38:11 | coals | 1 | 28756 | 15 | 1.280 | 22465.6 |
| 921 | 2025-03-07 15:07:34 | coals | 1 | 28756 | 15 | 1.420 | 20250.7 |
| 920 | 2025-03-03 00:22:24 | coals | 1 | 28756 | 15 | 3.000 | 9585.3 |
| 919 | 2025-02-26 17:35:48 | coals | 2 | 53800 | 298 | 11.436 | 4704.4 |
| 918 | 2025-02-26 17:26:42 | coals | 1 | 28756 | 15 | 1.343 | 21411.8 |
| 917 | 2025-02-26 05:36:44 | coals | 1 | 28756 | 15 | 1.486 | 19351.3 |
| 916 | 2025-02-23 17:16:37 | coals | 1 | 28756 | 15 | 2.470 | 11642.1 |
| 915 | 2025-02-13 18:46:03 | coals | 1 | 28756 | 15 | 1.263 | 22768.0 |
| 914 | 2025-02-07 01:31:42 | coals | 1 | 28756 | 15 | 1.000 | 28756.0 |
| 913 | 2025-01-31 20:12:29 | coals | 1 | 28756 | 15 | 1.423 | 20208.0 |
| 912 | 2025-01-28 08:42:38 | coals | 2 | 53800 | 298 | 7.296 | 7373.9 |
| 911 | 2025-01-28 00:14:11 | coals | 2 | 53800 | 298 | 4.093 | 13144.4 |
| 910 | 2025-01-27 16:19:04 | coals | 2 | 53800 | 298 | 7.360 | 7309.8 |
| 909 | 2025-01-27 15:00:25 | coals | 1 | 28756 | 15 | 0.466 | 61708.2 |
| 908 | 2025-01-26 13:06:42 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 907 | 2025-01-24 09:54:07 | coals | 1 | 28756 | 15 | 1.953 | 14724.0 |
| 906 | 2025-01-19 11:52:24 | coals | 1 | 28756 | 15 | 1.110 | 25906.3 |
| 905 | 2025-01-06 01:00:58 | coals | 1 | 28756 | 15 | 1.016 | 28303.1 |
| 904 | 2024-12-29 05:52:11 | coals | 2 | 53800 | 298 | 2.796 | 19241.8 |
| 903 | 2024-12-28 19:05:58 | coals | 2 | 53800 | 298 | 1.500 | 35866.7 |
| 902 | 2024-12-28 09:02:30 | coals | 2 | 53800 | 298 | 11.483 | 4685.2 |
| 901 | 2024-12-28 08:17:41 | coals | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 900 | 2024-12-27 08:55:43 | coals | 1 | 28756 | 15 | 1.826 | 15748.1 |
| 899 | 2024-12-25 00:25:44 | coals | 1 | 28756 | 15 | 1.126 | 25538.2 |
| 898 | 2024-12-19 17:15:36 | coals | 1 | 28756 | 15 | 0.580 | 49579.3 |
| 897 | 2024-12-07 01:29:50 | coals | 1 | 28756 | 15 | 2.326 | 12362.9 |
| 896 | 2024-11-28 20:26:57 | coals | 2 | 53800 | 298 | 8.733 | 6160.5 |
| 895 | 2024-11-28 03:41:26 | coals | 2 | 53800 | 298 | 5.763 | 9335.4 |