History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"data"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 965 | 2026-02-07 11:40:56 | data | 1 | 13983 | 6 | 0.500 | 27966.0 |
| 964 | 2026-02-07 09:09:06 | data | 1 | 13983 | 6 | 0.513 | 27257.3 |
| 963 | 2026-02-07 05:09:11 | data | 2 | 29872 | 247 | 1.016 | 29401.6 |
| 962 | 2026-02-07 05:08:57 | data | 2 | 29872 | 247 | 0.873 | 34217.6 |
| 961 | 2026-02-05 16:00:57 | data | 1 | 13983 | 6 | 0.673 | 20777.1 |
| 960 | 2026-02-05 12:25:30 | data | 2 | 29872 | 247 | 0.843 | 35435.3 |
| 959 | 2026-02-05 12:25:16 | data | 2 | 29872 | 247 | 0.856 | 34897.2 |
| 958 | 2026-02-04 20:15:23 | data | 2 | 29872 | 247 | 0.843 | 35435.3 |
| 957 | 2026-02-04 14:48:32 | data | 2 | 29872 | 247 | 1.483 | 20143.0 |
| 956 | 2026-02-04 11:04:07 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 955 | 2026-02-03 18:25:39 | data | 2 | 29872 | 247 | 0.936 | 31914.5 |
| 954 | 2026-02-02 03:14:23 | data | 2 | 29872 | 247 | 0.873 | 34217.6 |
| 953 | 2026-02-01 19:42:44 | data | 2 | 29872 | 247 | 0.950 | 31444.2 |
| 952 | 2026-01-31 00:06:21 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 951 | 2026-01-30 02:13:38 | data | 2 | 29872 | 247 | 0.860 | 34734.9 |
| 950 | 2026-01-30 02:10:57 | data | 2 | 29872 | 247 | 0.796 | 37527.6 |
| 949 | 2026-01-30 02:10:42 | data | 2 | 29872 | 247 | 0.873 | 34217.6 |
| 948 | 2026-01-29 04:54:17 | data | 2 | 29872 | 247 | 0.936 | 31914.5 |
| 947 | 2026-01-29 04:54:11 | data | 2 | 29872 | 247 | 0.810 | 36879.0 |
| 946 | 2026-01-24 11:05:23 | data | 2 | 29872 | 247 | 0.936 | 31914.5 |
| 945 | 2026-01-23 05:03:55 | data | 2 | 29872 | 247 | 1.923 | 15534.1 |
| 944 | 2026-01-23 03:37:24 | data | 2 | 29872 | 247 | 0.936 | 31914.5 |
| 943 | 2026-01-22 07:31:09 | data | 2 | 29872 | 247 | 0.766 | 38997.4 |
| 942 | 2026-01-21 13:27:00 | data | 1 | 13983 | 6 | 0.280 | 49939.3 |
| 941 | 2026-01-07 17:52:40 | data | 2 | 29872 | 247 | 0.876 | 34100.5 |
| 940 | 2026-01-06 22:06:16 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 939 | 2026-01-06 12:15:07 | data | 2 | 29872 | 247 | 1.580 | 18906.3 |
| 938 | 2026-01-03 03:44:26 | data | 1 | 13983 | 6 | 0.220 | 63559.1 |
| 937 | 2026-01-03 03:44:16 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 936 | 2026-01-01 21:59:00 | data | 2 | 29872 | 247 | 0.753 | 39670.7 |
| 935 | 2026-01-01 12:56:31 | data | 2 | 29872 | 247 | 0.813 | 36742.9 |
| 934 | 2026-01-01 12:10:53 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 933 | 2026-01-01 11:04:08 | data | 1 | 13983 | 6 | 0.283 | 49409.9 |
| 932 | 2025-12-31 00:20:47 | data | 1 | 13983 | 6 | 0.513 | 27257.3 |
| 931 | 2025-12-30 23:27:10 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 930 | 2025-12-29 01:30:06 | data | 1 | 13983 | 6 | 0.263 | 53167.3 |
| 929 | 2025-12-26 07:24:54 | data | 1 | 13983 | 6 | 0.220 | 63559.1 |
| 928 | 2025-12-21 21:41:56 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 927 | 2025-12-15 16:23:41 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 926 | 2025-12-14 23:19:52 | data | 2 | 29872 | 247 | 0.873 | 34217.6 |
| 925 | 2025-12-14 00:23:48 | data | 1 | 13983 | 6 | 0.233 | 60012.9 |
| 924 | 2025-12-14 00:22:49 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 923 | 2025-12-10 11:25:33 | data | 2 | 29872 | 247 | 0.936 | 31914.5 |
| 922 | 2025-11-30 14:46:17 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 921 | 2025-11-29 19:43:54 | data | 2 | 29872 | 247 | 0.920 | 32469.6 |
| 920 | 2025-11-29 06:52:33 | data | 1 | 13983 | 6 | 0.263 | 53167.3 |
| 919 | 2025-11-28 16:02:44 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 918 | 2025-11-26 10:39:27 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 917 | 2025-11-25 21:02:40 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 916 | 2025-11-23 08:34:03 | data | 1 | 13983 | 6 | 0.780 | 17926.9 |
| 915 | 2025-11-21 18:47:19 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 914 | 2025-11-21 07:02:10 | data | 2 | 29872 | 247 | 0.906 | 32971.3 |
| 913 | 2025-11-20 14:11:25 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 912 | 2025-11-19 23:38:21 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 911 | 2025-11-17 08:52:17 | data | 1 | 13983 | 6 | 0.220 | 63559.1 |
| 910 | 2025-11-16 13:17:22 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 909 | 2025-11-16 03:08:36 | data | 1 | 13983 | 6 | 0.280 | 49939.3 |
| 908 | 2025-11-14 18:44:09 | data | 1 | 13983 | 6 | 0.236 | 59250.0 |
| 907 | 2025-11-13 01:01:09 | data | 1 | 13983 | 6 | 0.263 | 53167.3 |
| 906 | 2025-11-06 10:32:58 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 905 | 2025-11-04 23:22:24 | data | 2 | 29872 | 247 | 0.920 | 32469.6 |
| 904 | 2025-11-02 14:42:59 | data | 1 | 13983 | 6 | 0.233 | 60012.9 |
| 903 | 2025-10-30 17:57:18 | data | 1 | 13983 | 6 | 0.220 | 63559.1 |
| 902 | 2025-10-28 18:55:36 | data | 1 | 13983 | 6 | 0.233 | 60012.9 |
| 901 | 2025-10-28 06:50:29 | data | 1 | 13983 | 6 | 0.263 | 53167.3 |
| 900 | 2025-10-28 05:09:18 | data | 2 | 29872 | 247 | 0.906 | 32971.3 |
| 899 | 2025-10-27 19:43:11 | data | 1 | 13983 | 6 | 0.470 | 29751.1 |
| 898 | 2025-10-26 16:57:36 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 897 | 2025-10-26 12:16:53 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 896 | 2025-10-21 13:58:30 | data | 1 | 13983 | 6 | 0.843 | 16587.2 |
| 895 | 2025-10-16 12:27:41 | data | 1 | 13983 | 6 | 0.533 | 26234.5 |
| 894 | 2025-10-16 04:00:56 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 893 | 2025-10-13 02:19:43 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 892 | 2025-10-02 16:45:21 | data | 2 | 29872 | 247 | 0.766 | 38997.4 |
| 891 | 2025-09-30 21:30:35 | data | 1 | 13983 | 6 | 0.220 | 63559.1 |
| 890 | 2025-09-30 19:16:47 | data | 1 | 13983 | 6 | 0.216 | 64736.1 |
| 889 | 2025-09-29 17:21:00 | data | 1 | 13983 | 6 | 0.220 | 63559.1 |
| 888 | 2025-09-27 00:32:32 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 887 | 2025-09-25 14:54:37 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 886 | 2025-09-25 11:52:20 | data | 1 | 13983 | 6 | 0.686 | 20383.4 |
| 885 | 2025-09-25 03:03:44 | data | 2 | 29872 | 247 | 4.063 | 7352.2 |
| 884 | 2025-09-25 01:58:27 | data | 1 | 13983 | 6 | 1.920 | 7282.8 |
| 883 | 2025-09-24 21:57:29 | data | 1 | 13983 | 6 | 0.516 | 27098.8 |
| 882 | 2025-09-21 21:25:00 | data | 1 | 13983 | 6 | 0.220 | 63559.1 |
| 881 | 2025-09-21 15:55:55 | data | 1 | 13983 | 6 | 0.236 | 59250.0 |
| 880 | 2025-09-20 16:47:45 | data | 1 | 13983 | 6 | 0.236 | 59250.0 |
| 879 | 2025-09-19 19:36:31 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 878 | 2025-09-19 09:42:28 | data | 2 | 29872 | 247 | 1.860 | 16060.2 |
| 877 | 2025-09-17 05:24:24 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 876 | 2025-09-15 19:50:30 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 875 | 2025-09-15 18:44:02 | data | 2 | 29872 | 247 | 0.873 | 34217.6 |
| 874 | 2025-09-15 15:14:55 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 873 | 2025-09-12 02:19:27 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 872 | 2025-09-12 00:52:45 | data | 1 | 13983 | 6 | 0.266 | 52567.7 |
| 871 | 2025-09-11 18:52:21 | data | 1 | 13983 | 6 | 0.233 | 60012.9 |
| 870 | 2025-09-08 14:00:39 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |
| 869 | 2025-09-05 04:10:27 | data | 1 | 13983 | 6 | 0.500 | 27966.0 |
| 868 | 2025-09-03 05:52:45 | data | 1 | 13983 | 6 | 0.236 | 59250.0 |
| 867 | 2025-08-28 14:55:08 | data | 1 | 13983 | 6 | 0.236 | 59250.0 |
| 866 | 2025-08-26 00:16:10 | data | 1 | 13983 | 6 | 0.250 | 55932.0 |