History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"zymometers"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
7024 | 2025-10-11 08:55:15 | zymometers | 1 | 67641 | 2 | 2.330 | 29030.5 |
7023 | 2025-10-11 08:52:37 | zymometers | 1 | 67641 | 2 | 4.423 | 15293.0 |
7022 | 2025-10-10 14:36:07 | zymometers | 1 | 67641 | 2 | 1.000 | 67641.0 |
7021 | 2025-10-10 12:29:03 | zymometers | 4 | 161450 | 175 | 8.893 | 18154.7 |
7020 | 2025-10-09 23:50:30 | zymometers | 1 | 67641 | 2 | 0.966 | 70021.7 |
7019 | 2025-10-09 00:32:21 | zymometers | 3 | 140603 | 45 | 5.456 | 25770.3 |
7018 | 2025-10-08 23:48:22 | zymometers | 1 | 67641 | 2 | 0.970 | 69733.0 |
7017 | 2025-10-08 23:32:14 | zymometers | 1 | 67641 | 2 | 1.106 | 61158.2 |
7016 | 2025-10-08 11:16:19 | zymometers | 1 | 67641 | 2 | 1.076 | 62863.4 |
7015 | 2025-10-06 09:47:37 | zymometers | 4 | 161450 | 175 | 9.236 | 17480.5 |
7014 | 2025-10-06 07:32:47 | zymometers | 1 | 67641 | 2 | 1.126 | 60071.9 |
7013 | 2025-10-05 12:10:31 | zymometers | 3 | 140603 | 45 | 6.050 | 23240.2 |
7012 | 2025-10-05 06:29:01 | zymometers | 2 | 108824 | 5 | 2.470 | 44058.3 |
7011 | 2025-10-05 06:27:59 | zymometers | 3 | 140603 | 45 | 5.123 | 27445.4 |
7010 | 2025-10-05 06:26:56 | zymometers | 4 | 161450 | 175 | 9.843 | 16402.5 |
7009 | 2025-10-05 02:51:46 | zymometers | 1 | 67641 | 2 | 0.956 | 70754.2 |
7008 | 2025-10-05 01:56:47 | zymometers | 1 | 67641 | 2 | 1.000 | 67641.0 |
7007 | 2025-10-04 09:24:37 | zymometers | 1 | 67641 | 2 | 0.983 | 68810.8 |
7006 | 2025-10-03 14:38:33 | zymometers | 3 | 140603 | 45 | 6.080 | 23125.5 |
7005 | 2025-10-03 14:17:13 | zymometers | 2 | 108824 | 5 | 2.580 | 42179.8 |
7004 | 2025-10-03 04:51:17 | zymometers | 1 | 67641 | 2 | 0.983 | 68810.8 |
7003 | 2025-10-03 03:50:48 | zymometers | 3 | 140603 | 45 | 5.393 | 26071.4 |
7002 | 2025-10-03 03:40:40 | zymometers | 2 | 108824 | 5 | 2.530 | 43013.4 |
7001 | 2025-10-03 02:51:18 | zymometers | 1 | 67641 | 2 | 1.016 | 66575.8 |
7000 | 2025-10-02 13:39:23 | zymometers | 1 | 67641 | 2 | 5.140 | 13159.7 |
6999 | 2025-10-02 13:38:21 | zymometers | 1 | 67641 | 2 | 2.610 | 25916.1 |
6998 | 2025-10-02 13:37:42 | zymometers | 1 | 67641 | 2 | 4.296 | 15745.1 |
6997 | 2025-10-01 17:23:53 | zymometers | 1 | 67641 | 2 | 5.190 | 13032.9 |
6996 | 2025-10-01 17:22:39 | zymometers | 1 | 67641 | 2 | 5.343 | 12659.7 |
6995 | 2025-10-01 17:21:01 | zymometers | 1 | 67641 | 2 | 3.266 | 20710.7 |
6994 | 2025-09-30 06:18:52 | zymometers | 1 | 67641 | 2 | 1.123 | 60232.4 |
6993 | 2025-09-29 09:09:10 | zymometers | 1 | 67641 | 2 | 1.140 | 59334.2 |
6992 | 2025-09-28 10:12:32 | zymometers | 1 | 67641 | 2 | 1.123 | 60232.4 |
6991 | 2025-09-28 06:32:25 | zymometers | 1 | 67641 | 2 | 1.000 | 67641.0 |
6990 | 2025-09-28 04:28:06 | zymometers | 1 | 67641 | 2 | 4.716 | 14342.9 |
6989 | 2025-09-28 04:27:05 | zymometers | 1 | 67641 | 2 | 2.656 | 25467.2 |
6988 | 2025-09-28 04:26:10 | zymometers | 1 | 67641 | 2 | 7.703 | 8781.1 |
6987 | 2025-09-28 01:23:07 | zymometers | 1 | 67641 | 2 | 1.013 | 66773.0 |
6986 | 2025-09-27 11:07:28 | zymometers | 1 | 67641 | 2 | 1.173 | 57665.0 |
6985 | 2025-09-27 08:41:57 | zymometers | 2 | 108824 | 5 | 2.546 | 42743.1 |
6984 | 2025-09-26 23:37:49 | zymometers | 1 | 67641 | 2 | 0.953 | 70976.9 |
6983 | 2025-09-26 22:41:42 | zymometers | 1 | 67641 | 2 | 1.096 | 61716.2 |
6982 | 2025-09-26 22:16:29 | zymometers | 1 | 67641 | 2 | 1.000 | 67641.0 |
6981 | 2025-09-24 21:42:49 | zymometers | 1 | 67641 | 2 | 2.360 | 28661.4 |
6980 | 2025-09-24 21:42:32 | zymometers | 1 | 67641 | 2 | 2.546 | 26567.6 |
6979 | 2025-09-24 21:42:17 | zymometers | 1 | 67641 | 2 | 2.670 | 25333.7 |
6978 | 2025-09-24 21:42:01 | zymometers | 1 | 67641 | 2 | 3.156 | 21432.5 |
6977 | 2025-09-23 05:23:43 | zymometers | 4 | 161450 | 175 | 9.080 | 17780.8 |
6976 | 2025-09-23 04:23:40 | zymometers | 1 | 67641 | 2 | 1.063 | 63632.2 |
6975 | 2025-09-22 20:20:58 | zymometers | 1 | 67641 | 2 | 1.923 | 35174.7 |
6974 | 2025-09-22 13:36:20 | zymometers | 4 | 161450 | 175 | 10.093 | 15996.2 |
6973 | 2025-09-20 21:41:08 | zymometers | 1 | 67641 | 2 | 0.970 | 69733.0 |
6972 | 2025-09-20 10:02:11 | zymometers | 1 | 67641 | 2 | 0.966 | 70021.7 |
6971 | 2025-09-20 08:58:52 | zymometers | 1 | 67641 | 2 | 0.983 | 68810.8 |
6970 | 2025-09-20 00:55:22 | zymometers | 2 | 108824 | 5 | 2.453 | 44363.6 |
6969 | 2025-09-19 23:49:38 | zymometers | 1 | 67641 | 2 | 1.046 | 64666.3 |
6968 | 2025-09-16 08:54:59 | zymometers | 1 | 67641 | 2 | 0.966 | 70021.7 |
6967 | 2025-09-16 06:54:47 | zymometers | 1 | 67641 | 2 | 1.013 | 66773.0 |
6966 | 2025-09-16 06:02:52 | zymometers | 4 | 161450 | 175 | 9.063 | 17814.2 |
6965 | 2025-09-16 05:02:07 | zymometers | 1 | 67641 | 2 | 1.123 | 60232.4 |
6964 | 2025-09-14 23:54:44 | zymometers | 4 | 161450 | 175 | 10.816 | 14927.0 |
6963 | 2025-09-14 23:54:34 | zymometers | 3 | 140603 | 45 | 7.393 | 19018.4 |
6962 | 2025-09-14 23:54:22 | zymometers | 2 | 108824 | 5 | 9.686 | 11235.2 |
6961 | 2025-09-14 23:13:16 | zymometers | 1 | 67641 | 2 | 1.093 | 61885.6 |
6960 | 2025-09-14 08:32:36 | zymometers | 1 | 67641 | 2 | 1.110 | 60937.8 |
6959 | 2025-09-14 05:26:57 | zymometers | 4 | 161450 | 175 | 11.203 | 14411.3 |
6958 | 2025-09-14 04:27:16 | zymometers | 1 | 67641 | 2 | 1.110 | 60937.8 |
6957 | 2025-09-13 22:18:31 | zymometers | 2 | 108824 | 5 | 3.016 | 36082.2 |
6956 | 2025-09-13 09:17:04 | zymometers | 2 | 108824 | 5 | 2.466 | 44129.8 |
6955 | 2025-09-12 14:23:49 | zymometers | 3 | 140603 | 45 | 5.716 | 24598.1 |
6954 | 2025-09-12 06:54:46 | zymometers | 3 | 140603 | 45 | 5.626 | 24991.6 |
6953 | 2025-09-11 16:42:43 | zymometers | 1 | 67641 | 2 | 1.046 | 64666.3 |
6952 | 2025-09-11 12:12:39 | zymometers | 4 | 161450 | 175 | 10.533 | 15328.0 |
6951 | 2025-09-11 12:12:26 | zymometers | 3 | 140603 | 45 | 9.656 | 14561.2 |
6950 | 2025-09-11 12:12:19 | zymometers | 2 | 108824 | 5 | 2.970 | 36641.1 |
6949 | 2025-09-11 10:39:15 | zymometers | 2 | 108824 | 5 | 2.703 | 40260.5 |
6948 | 2025-09-11 03:31:39 | zymometers | 1 | 67641 | 2 | 1.126 | 60071.9 |
6947 | 2025-09-10 21:49:53 | zymometers | 2 | 108824 | 5 | 2.826 | 38508.1 |
6946 | 2025-09-10 16:57:35 | zymometers | 4 | 161450 | 175 | 10.956 | 14736.2 |
6945 | 2025-09-10 10:42:32 | zymometers | 2 | 108824 | 5 | 2.623 | 41488.4 |
6944 | 2025-09-09 05:25:24 | zymometers | 4 | 161450 | 175 | 9.576 | 16859.9 |
6943 | 2025-09-09 05:21:34 | zymometers | 1 | 67641 | 2 | 1.000 | 67641.0 |
6942 | 2025-09-08 19:33:04 | zymometers | 4 | 161450 | 175 | 10.796 | 14954.6 |
6941 | 2025-09-08 15:36:07 | zymometers | 1 | 67641 | 2 | 1.046 | 64666.3 |
6940 | 2025-09-08 11:34:42 | zymometers | 3 | 140603 | 45 | 5.580 | 25197.7 |
6939 | 2025-09-08 09:09:59 | zymometers | 1 | 67641 | 2 | 0.966 | 70021.7 |
6938 | 2025-09-08 06:16:25 | zymometers | 1 | 67641 | 2 | 1.063 | 63632.2 |
6937 | 2025-09-07 20:25:56 | zymometers | 1 | 67641 | 2 | 1.080 | 62630.6 |
6936 | 2025-09-07 20:14:18 | zymometers | 1 | 67641 | 2 | 1.046 | 64666.3 |
6935 | 2025-09-07 13:24:04 | zymometers | 3 | 140603 | 45 | 12.280 | 11449.8 |
6934 | 2025-09-07 05:53:36 | zymometers | 2 | 108824 | 5 | 2.593 | 41968.4 |
6933 | 2025-09-06 22:07:04 | zymometers | 1 | 67641 | 2 | 0.986 | 68601.4 |
6932 | 2025-09-06 22:04:18 | zymometers | 3 | 140603 | 45 | 5.796 | 24258.6 |
6931 | 2025-09-06 21:06:16 | zymometers | 1 | 67641 | 2 | 1.080 | 62630.6 |
6930 | 2025-09-06 21:04:33 | zymometers | 1 | 67641 | 2 | 0.966 | 70021.7 |
6929 | 2025-09-06 09:49:09 | zymometers | 2 | 108824 | 5 | 2.500 | 43529.6 |
6928 | 2025-09-06 09:49:00 | zymometers | 3 | 140603 | 45 | 5.576 | 25215.7 |
6927 | 2025-09-06 09:48:48 | zymometers | 4 | 161450 | 175 | 8.703 | 18551.1 |
6926 | 2025-09-06 08:56:29 | zymometers | 1 | 67641 | 2 | 2.060 | 32835.4 |
6925 | 2025-09-05 16:10:10 | zymometers | 1 | 67641 | 2 | 1.063 | 63632.2 |