History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"precision"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1020 | 2026-04-17 07:09:39 | precision | 4 | 165329 | 417 | 26.236 | 6301.6 |
| 1019 | 2026-04-05 05:08:30 | precision | 4 | 165329 | 417 | 58.706 | 2816.2 |
| 1018 | 2026-04-03 01:27:16 | precision | 1 | 81242 | 5 | 3.640 | 22319.2 |
| 1017 | 2026-03-28 18:26:45 | precision | 4 | 165329 | 417 | 59.156 | 2794.8 |
| 1016 | 2026-03-28 11:52:37 | precision | 4 | 165329 | 417 | 84.180 | 1964.0 |
| 1015 | 2026-03-28 11:52:59 | precision | 4 | 165329 | 417 | 45.713 | 3616.7 |
| 1014 | 2026-03-28 09:26:15 | precision | 1 | 81242 | 5 | 6.546 | 12410.9 |
| 1013 | 2026-03-28 06:24:54 | precision | 4 | 165329 | 417 | 61.143 | 2704.0 |
| 1012 | 2026-03-26 20:21:20 | precision | 4 | 165329 | 417 | 58.736 | 2814.8 |
| 1011 | 2026-03-18 12:36:59 | precision | 1 | 81242 | 5 | 1.390 | 58447.5 |
| 1010 | 2026-03-17 06:37:29 | precision | 4 | 165329 | 417 | 11.500 | 14376.4 |
| 1009 | 2026-03-15 05:03:02 | precision | 4 | 165329 | 417 | 62.363 | 2651.1 |
| 1008 | 2026-03-15 05:02:46 | precision | 4 | 165329 | 417 | 64.956 | 2545.2 |
| 1007 | 2026-03-11 08:41:35 | precision | 1 | 81242 | 5 | 2.643 | 30738.6 |
| 1006 | 2026-03-07 13:00:45 | precision | 1 | 81242 | 5 | 6.410 | 12674.3 |
| 1005 | 2026-02-27 16:53:50 | precision | 4 | 165329 | 417 | 46.046 | 3590.5 |
| 1004 | 2026-02-26 18:32:10 | precision | 2 | 121436 | 17 | 5.343 | 22728.1 |
| 1003 | 2026-02-24 17:20:01 | precision | 4 | 165329 | 417 | 12.420 | 13311.5 |
| 1002 | 2026-02-18 11:33:59 | precision | 1 | 81242 | 5 | 1.500 | 54161.3 |
| 1001 | 2026-02-15 21:57:47 | precision | 4 | 165329 | 417 | 11.720 | 14106.6 |
| 1000 | 2026-02-15 16:16:08 | precision | 4 | 165329 | 417 | 20.670 | 7998.5 |
| 999 | 2026-02-15 09:49:47 | precision | 1 | 81242 | 5 | 1.456 | 55798.1 |
| 998 | 2026-02-15 08:55:30 | precision | 4 | 165329 | 417 | 11.983 | 13797.0 |
| 997 | 2026-02-15 04:08:16 | precision | 1 | 81242 | 5 | 1.846 | 44009.8 |
| 996 | 2026-02-08 07:00:42 | precision | 1 | 81242 | 5 | 1.486 | 54671.6 |
| 995 | 2026-02-06 03:11:22 | precision | 1 | 81242 | 5 | 1.500 | 54161.3 |
| 994 | 2026-01-29 04:53:55 | precision | 3 | 148641 | 80 | 8.063 | 18434.9 |
| 993 | 2026-01-25 07:28:17 | precision | 3 | 148641 | 80 | 10.250 | 14501.6 |
| 992 | 2026-01-24 23:59:14 | precision | 1 | 81242 | 5 | 1.486 | 54671.6 |
| 991 | 2026-01-15 19:48:45 | precision | 1 | 81242 | 5 | 1.700 | 47789.4 |
| 990 | 2025-12-27 15:06:56 | precision | 1 | 81242 | 5 | 1.483 | 54782.2 |
| 989 | 2025-12-27 11:02:44 | precision | 1 | 81242 | 5 | 1.500 | 54161.3 |
| 988 | 2025-12-26 20:06:40 | precision | 1 | 81242 | 5 | 1.453 | 55913.3 |
| 987 | 2025-12-25 03:20:22 | precision | 1 | 81242 | 5 | 1.656 | 49059.2 |
| 986 | 2025-12-13 03:11:04 | precision | 2 | 121436 | 17 | 5.266 | 23060.4 |
| 985 | 2025-12-10 23:21:42 | precision | 2 | 121436 | 17 | 3.703 | 32794.0 |
| 984 | 2025-12-05 17:05:45 | precision | 1 | 81242 | 5 | 1.326 | 61268.5 |
| 983 | 2025-11-27 20:53:51 | precision | 1 | 81242 | 5 | 1.546 | 52549.8 |
| 982 | 2025-11-18 06:17:03 | precision | 1 | 81242 | 5 | 1.283 | 63321.9 |
| 981 | 2025-11-06 11:36:05 | precision | 1 | 81242 | 5 | 1.516 | 53589.7 |
| 980 | 2025-11-01 22:17:38 | precision | 2 | 121436 | 17 | 3.640 | 33361.5 |
| 979 | 2025-10-30 00:48:40 | precision | 2 | 121436 | 17 | 3.423 | 35476.5 |
| 978 | 2025-10-27 01:19:39 | precision | 1 | 81242 | 5 | 1.440 | 56418.1 |
| 977 | 2025-10-12 22:45:47 | precision | 1 | 81242 | 5 | 1.500 | 54161.3 |
| 976 | 2025-09-10 14:31:32 | precision | 1 | 81242 | 5 | 1.343 | 60492.9 |
| 975 | 2025-09-08 15:34:54 | precision | 1 | 81242 | 5 | 1.423 | 57092.1 |
| 974 | 2025-09-01 11:46:23 | precision | 1 | 81242 | 5 | 1.440 | 56418.1 |
| 973 | 2025-08-11 07:43:32 | precision | 2 | 121436 | 17 | 13.190 | 9206.7 |
| 972 | 2025-08-09 00:53:23 | precision | 1 | 81242 | 5 | 3.470 | 23412.7 |
| 971 | 2025-08-08 21:09:46 | precision | 1 | 81242 | 5 | 1.453 | 55913.3 |
| 970 | 2025-08-03 06:28:00 | precision | 3 | 148641 | 80 | 46.383 | 3204.6 |
| 969 | 2025-08-03 06:28:02 | precision | 3 | 148641 | 80 | 25.893 | 5740.6 |
| 968 | 2025-08-03 06:07:00 | precision | 2 | 121436 | 17 | 14.283 | 8502.1 |
| 967 | 2025-08-01 13:08:25 | precision | 1 | 81242 | 5 | 2.640 | 30773.5 |
| 966 | 2025-08-01 01:30:17 | precision | 3 | 148641 | 80 | 21.580 | 6887.9 |
| 965 | 2025-07-31 06:27:17 | precision | 1 | 81242 | 5 | 1.483 | 54782.2 |
| 964 | 2025-07-28 11:00:37 | precision | 3 | 148641 | 80 | 35.250 | 4216.8 |
| 963 | 2025-07-24 05:46:44 | precision | 1 | 81242 | 5 | 3.780 | 21492.6 |
| 962 | 2025-07-23 17:07:08 | precision | 2 | 121436 | 17 | 17.516 | 6932.9 |
| 961 | 2025-07-23 14:26:59 | precision | 3 | 148641 | 80 | 35.296 | 4211.3 |
| 960 | 2025-07-18 03:10:04 | precision | 3 | 148641 | 80 | 43.343 | 3429.4 |
| 959 | 2025-07-17 22:58:32 | precision | 2 | 121436 | 17 | 21.876 | 5551.1 |
| 958 | 2025-07-16 06:37:03 | precision | 1 | 81242 | 5 | 2.936 | 27671.0 |
| 957 | 2025-07-15 21:28:52 | precision | 1 | 81242 | 5 | 3.173 | 25604.2 |
| 956 | 2025-07-12 09:16:33 | precision | 1 | 81242 | 5 | 1.486 | 54671.6 |
| 955 | 2025-07-11 04:30:34 | precision | 2 | 121436 | 17 | 18.860 | 6438.8 |
| 954 | 2025-07-09 15:40:41 | precision | 1 | 81242 | 5 | 1.436 | 56575.2 |
| 953 | 2025-07-02 12:26:24 | precision | 1 | 81242 | 5 | 3.830 | 21212.0 |
| 952 | 2025-06-07 15:24:19 | precision | 1 | 81242 | 5 | 3.156 | 25742.1 |
| 951 | 2025-06-06 09:08:21 | precision | 2 | 121436 | 17 | 16.436 | 7388.4 |
| 950 | 2025-06-06 04:55:00 | precision | 1 | 81242 | 5 | 5.330 | 15242.4 |
| 949 | 2025-06-04 15:26:20 | precision | 2 | 121436 | 17 | 24.123 | 5034.0 |
| 948 | 2025-06-04 02:04:47 | precision | 2 | 121436 | 17 | 9.080 | 13374.0 |
| 947 | 2025-06-03 02:29:16 | precision | 1 | 81242 | 5 | 4.920 | 16512.6 |
| 946 | 2025-06-03 02:09:03 | precision | 1 | 81242 | 5 | 7.393 | 10989.0 |
| 945 | 2025-06-03 01:49:08 | precision | 1 | 81242 | 5 | 7.343 | 11063.9 |
| 944 | 2025-06-02 03:59:05 | precision | 2 | 121436 | 17 | 20.330 | 5973.2 |
| 943 | 2025-06-01 11:10:47 | precision | 1 | 81242 | 5 | 1.486 | 54671.6 |
| 942 | 2025-05-30 17:53:34 | precision | 1 | 81242 | 5 | 1.296 | 62686.7 |
| 941 | 2025-05-27 13:49:59 | precision | 1 | 81242 | 5 | 7.873 | 10319.1 |
| 940 | 2025-05-21 08:12:42 | precision | 1 | 81242 | 5 | 1.546 | 52549.8 |
| 939 | 2025-05-02 16:00:18 | precision | 1 | 81242 | 5 | 10.876 | 7469.8 |
| 938 | 2025-04-28 11:24:18 | precision | 1 | 81242 | 5 | 6.780 | 11982.6 |
| 937 | 2025-04-10 23:48:03 | precision | 1 | 81242 | 5 | 6.000 | 13540.3 |
| 936 | 2025-04-04 04:41:35 | precision | 1 | 81242 | 5 | 4.296 | 18911.1 |
| 935 | 2025-04-02 15:16:19 | precision | 1 | 81242 | 5 | 10.703 | 7590.6 |
| 934 | 2025-03-21 11:36:50 | precision | 3 | 148641 | 80 | 34.706 | 4282.9 |
| 933 | 2025-03-21 07:24:06 | precision | 1 | 81242 | 5 | 6.533 | 12435.6 |
| 932 | 2025-03-21 04:32:56 | precision | 3 | 148641 | 80 | 24.923 | 5964.0 |
| 931 | 2025-03-20 10:25:45 | precision | 1 | 81242 | 5 | 6.016 | 13504.3 |
| 930 | 2025-03-20 09:12:20 | precision | 3 | 148641 | 80 | 27.126 | 5479.7 |
| 929 | 2025-03-19 05:32:20 | precision | 3 | 148641 | 80 | 6.843 | 21721.6 |
| 928 | 2025-03-06 17:36:54 | precision | 1 | 81242 | 5 | 1.576 | 51549.5 |
| 927 | 2025-03-02 17:45:57 | precision | 3 | 148641 | 80 | 38.050 | 3906.5 |
| 926 | 2025-03-01 21:14:39 | precision | 2 | 121436 | 17 | 19.266 | 6303.1 |
| 925 | 2025-02-25 13:56:00 | precision | 1 | 81242 | 5 | 1.280 | 63470.3 |
| 924 | 2025-02-21 04:26:57 | precision | 3 | 148641 | 80 | 37.940 | 3917.8 |
| 923 | 2025-02-21 04:24:55 | precision | 1 | 81242 | 5 | 6.923 | 11735.1 |
| 922 | 2025-02-20 06:20:23 | precision | 3 | 148641 | 80 | 38.796 | 3831.3 |
| 921 | 2025-02-20 06:20:10 | precision | 2 | 121436 | 17 | 28.670 | 4235.6 |