History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"nylons"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1007 | 2026-04-15 20:11:43 | nylons | 3 | 112716 | 440 | 5.343 | 21096.0 |
| 1006 | 2026-04-14 02:50:23 | nylons | 3 | 112716 | 440 | 4.516 | 24959.3 |
| 1005 | 2026-04-12 01:59:15 | nylons | 1 | 48755 | 3 | 1.940 | 25131.4 |
| 1004 | 2026-04-11 14:07:41 | nylons | 2 | 82551 | 27 | 2.093 | 39441.5 |
| 1003 | 2026-04-10 14:15:22 | nylons | 3 | 112716 | 440 | 14.096 | 7996.3 |
| 1002 | 2026-04-10 07:05:44 | nylons | 2 | 82551 | 27 | 12.546 | 6579.9 |
| 1001 | 2026-04-06 04:24:29 | nylons | 2 | 82551 | 27 | 5.126 | 16104.4 |
| 1000 | 2026-04-05 15:54:22 | nylons | 2 | 82551 | 27 | 2.076 | 39764.5 |
| 999 | 2026-04-04 14:06:46 | nylons | 1 | 48755 | 3 | 1.033 | 47197.5 |
| 998 | 2026-04-04 04:56:16 | nylons | 1 | 48755 | 3 | 1.716 | 28412.0 |
| 997 | 2026-04-03 22:06:52 | nylons | 1 | 48755 | 3 | 3.906 | 12482.1 |
| 996 | 2026-04-03 01:41:03 | nylons | 1 | 48755 | 3 | 3.610 | 13505.5 |
| 995 | 2026-04-03 01:18:33 | nylons | 3 | 112716 | 440 | 27.843 | 4048.3 |
| 994 | 2026-04-02 15:35:29 | nylons | 3 | 112716 | 440 | 24.630 | 4576.4 |
| 993 | 2026-04-02 14:03:25 | nylons | 3 | 112716 | 440 | 16.123 | 6991.0 |
| 992 | 2026-03-31 13:34:36 | nylons | 3 | 112716 | 440 | 37.160 | 3033.3 |
| 991 | 2026-03-30 10:07:16 | nylons | 1 | 48755 | 3 | 3.733 | 13060.5 |
| 990 | 2026-03-25 03:37:08 | nylons | 3 | 112716 | 440 | 17.220 | 6545.6 |
| 989 | 2026-03-25 03:36:57 | nylons | 3 | 112716 | 440 | 26.190 | 4303.8 |
| 988 | 2026-03-23 23:18:02 | nylons | 2 | 82551 | 27 | 6.080 | 13577.5 |
| 987 | 2026-03-22 21:04:25 | nylons | 3 | 112716 | 440 | 26.186 | 4304.4 |
| 986 | 2026-03-22 09:55:40 | nylons | 1 | 48755 | 3 | 0.873 | 55847.7 |
| 985 | 2026-03-20 04:22:19 | nylons | 1 | 48755 | 3 | 1.780 | 27390.4 |
| 984 | 2026-03-17 16:34:31 | nylons | 2 | 82551 | 27 | 4.343 | 19007.8 |
| 983 | 2026-03-15 15:15:16 | nylons | 1 | 48755 | 3 | 4.093 | 11911.8 |
| 982 | 2026-03-13 21:40:22 | nylons | 2 | 82551 | 27 | 5.716 | 14442.1 |
| 981 | 2026-03-13 10:05:06 | nylons | 3 | 112716 | 440 | 15.236 | 7398.0 |
| 980 | 2026-03-10 13:43:19 | nylons | 1 | 48755 | 3 | 0.893 | 54596.9 |
| 979 | 2026-03-09 10:44:41 | nylons | 1 | 48755 | 3 | 0.830 | 58741.0 |
| 978 | 2026-03-09 05:36:38 | nylons | 1 | 48755 | 3 | 0.986 | 49447.3 |
| 977 | 2026-03-02 06:05:39 | nylons | 1 | 48755 | 3 | 0.856 | 56956.8 |
| 976 | 2026-02-17 22:50:46 | nylons | 2 | 82551 | 27 | 12.003 | 6877.5 |
| 975 | 2026-02-13 00:13:18 | nylons | 3 | 112716 | 440 | 5.500 | 20493.8 |
| 974 | 2026-02-12 13:29:35 | nylons | 1 | 48755 | 3 | 3.313 | 14716.3 |
| 973 | 2026-02-05 02:58:41 | nylons | 1 | 48755 | 3 | 0.843 | 57835.1 |
| 972 | 2026-01-23 01:34:40 | nylons | 1 | 48755 | 3 | 0.846 | 57630.0 |
| 971 | 2026-01-15 17:03:42 | nylons | 3 | 112716 | 440 | 7.580 | 14870.2 |
| 970 | 2026-01-01 22:54:06 | nylons | 1 | 48755 | 3 | 0.750 | 65006.7 |
| 969 | 2025-12-26 23:06:39 | nylons | 1 | 48755 | 3 | 3.123 | 15611.6 |
| 968 | 2025-12-26 11:44:01 | nylons | 1 | 48755 | 3 | 0.830 | 58741.0 |
| 967 | 2025-12-25 18:47:00 | nylons | 1 | 48755 | 3 | 0.810 | 60191.4 |
| 966 | 2025-12-21 17:10:40 | nylons | 1 | 48755 | 3 | 0.843 | 57835.1 |
| 965 | 2025-12-21 17:10:09 | nylons | 1 | 48755 | 3 | 0.750 | 65006.7 |
| 964 | 2025-12-21 17:09:54 | nylons | 1 | 48755 | 3 | 0.860 | 56691.9 |
| 963 | 2025-12-19 22:15:43 | nylons | 3 | 112716 | 440 | 15.673 | 7191.7 |
| 962 | 2025-12-19 22:15:32 | nylons | 3 | 112716 | 440 | 13.500 | 8349.3 |
| 961 | 2025-12-19 07:58:47 | nylons | 3 | 112716 | 440 | 4.890 | 23050.3 |
| 960 | 2025-12-02 15:23:49 | nylons | 1 | 48755 | 3 | 0.766 | 63648.8 |
| 959 | 2025-11-22 04:22:59 | nylons | 1 | 48755 | 3 | 2.796 | 17437.4 |
| 958 | 2025-11-21 08:04:53 | nylons | 1 | 48755 | 3 | 0.813 | 59969.2 |
| 957 | 2025-11-20 21:50:03 | nylons | 1 | 48755 | 3 | 0.796 | 61250.0 |
| 956 | 2025-11-19 06:57:14 | nylons | 3 | 112716 | 440 | 5.080 | 22188.2 |
| 955 | 2025-11-18 10:14:10 | nylons | 1 | 48755 | 3 | 0.813 | 59969.2 |
| 954 | 2025-11-18 10:12:58 | nylons | 1 | 48755 | 3 | 0.830 | 58741.0 |
| 953 | 2025-11-16 12:15:28 | nylons | 1 | 48755 | 3 | 1.690 | 28849.1 |
| 952 | 2025-10-26 08:13:23 | nylons | 2 | 82551 | 27 | 2.280 | 36206.6 |
| 951 | 2025-10-21 02:06:49 | nylons | 1 | 48755 | 3 | 0.766 | 63648.8 |
| 950 | 2025-10-18 02:31:59 | nylons | 3 | 112716 | 440 | 5.486 | 20546.1 |
| 949 | 2025-09-26 11:43:21 | nylons | 3 | 112716 | 440 | 4.623 | 24381.6 |
| 948 | 2025-09-09 17:21:13 | nylons | 3 | 112716 | 440 | 8.703 | 12951.4 |
| 947 | 2025-09-03 21:14:54 | nylons | 1 | 48755 | 3 | 0.733 | 66514.3 |
| 946 | 2025-08-25 15:32:52 | nylons | 1 | 48755 | 3 | 2.953 | 16510.3 |
| 945 | 2025-08-17 09:43:38 | nylons | 1 | 48755 | 3 | 2.110 | 23106.6 |
| 944 | 2025-08-17 03:48:26 | nylons | 1 | 48755 | 3 | 3.360 | 14510.4 |
| 943 | 2025-08-17 02:42:58 | nylons | 1 | 48755 | 3 | 1.513 | 32224.1 |
| 942 | 2025-08-15 13:41:20 | nylons | 3 | 112716 | 440 | 10.736 | 10498.9 |
| 941 | 2025-08-13 19:32:29 | nylons | 3 | 112716 | 440 | 28.440 | 3963.3 |
| 940 | 2025-08-10 20:11:24 | nylons | 3 | 112716 | 440 | 12.643 | 8915.3 |
| 939 | 2025-08-09 12:22:19 | nylons | 3 | 112716 | 440 | 39.253 | 2871.5 |
| 938 | 2025-08-07 12:14:00 | nylons | 3 | 112716 | 440 | 11.266 | 10005.0 |
| 937 | 2025-08-05 23:36:50 | nylons | 1 | 48755 | 3 | 2.140 | 22782.7 |
| 936 | 2025-08-04 15:43:34 | nylons | 1 | 48755 | 3 | 0.780 | 62506.4 |
| 935 | 2025-08-02 04:49:07 | nylons | 2 | 82551 | 27 | 5.500 | 15009.3 |
| 934 | 2025-07-31 19:05:25 | nylons | 1 | 48755 | 3 | 2.406 | 20263.9 |
| 933 | 2025-07-28 04:36:06 | nylons | 1 | 48755 | 3 | 1.826 | 26700.4 |
| 932 | 2025-07-26 21:44:11 | nylons | 1 | 48755 | 3 | 1.266 | 38511.1 |
| 931 | 2025-07-26 03:07:27 | nylons | 1 | 48755 | 3 | 0.856 | 56956.8 |
| 930 | 2025-07-24 07:19:33 | nylons | 1 | 48755 | 3 | 3.173 | 15365.6 |
| 929 | 2025-07-17 15:28:17 | nylons | 1 | 48755 | 3 | 2.563 | 19022.6 |
| 928 | 2025-07-11 07:27:41 | nylons | 3 | 112716 | 440 | 30.610 | 3682.3 |
| 927 | 2025-07-10 16:37:34 | nylons | 1 | 48755 | 3 | 3.186 | 15302.9 |
| 926 | 2025-07-09 03:16:26 | nylons | 1 | 48755 | 3 | 0.826 | 59025.4 |
| 925 | 2025-07-07 04:25:51 | nylons | 1 | 48755 | 3 | 3.796 | 12843.8 |
| 924 | 2025-06-28 07:37:34 | nylons | 2 | 82551 | 27 | 10.546 | 7827.7 |
| 923 | 2025-06-21 18:40:41 | nylons | 2 | 82551 | 27 | 2.453 | 33653.1 |
| 922 | 2025-06-19 20:54:11 | nylons | 3 | 112716 | 440 | 18.030 | 6251.6 |
| 921 | 2025-06-18 11:02:57 | nylons | 3 | 112716 | 440 | 19.250 | 5855.4 |
| 920 | 2025-06-13 10:30:43 | nylons | 1 | 48755 | 3 | 3.406 | 14314.4 |
| 919 | 2025-06-10 06:06:42 | nylons | 1 | 48755 | 3 | 4.063 | 11999.8 |
| 918 | 2025-06-09 09:40:41 | nylons | 3 | 112716 | 440 | 5.656 | 19928.6 |
| 917 | 2025-06-08 03:49:53 | nylons | 1 | 48755 | 3 | 4.500 | 10834.4 |
| 916 | 2025-06-07 08:49:51 | nylons | 3 | 112716 | 440 | 15.096 | 7466.6 |
| 915 | 2025-06-06 14:22:41 | nylons | 1 | 48755 | 3 | 3.826 | 12743.1 |
| 914 | 2025-06-06 01:04:14 | nylons | 3 | 112716 | 440 | 27.273 | 4132.9 |
| 913 | 2025-05-29 22:36:57 | nylons | 3 | 112716 | 440 | 5.563 | 20261.7 |
| 912 | 2025-05-26 10:05:02 | nylons | 1 | 48755 | 3 | 5.093 | 9572.9 |
| 911 | 2025-05-24 13:48:32 | nylons | 2 | 82551 | 27 | 15.906 | 5189.9 |
| 910 | 2025-05-23 03:28:28 | nylons | 1 | 48755 | 3 | 3.983 | 12240.8 |
| 909 | 2025-05-17 15:57:11 | nylons | 1 | 48755 | 3 | 0.736 | 66243.2 |
| 908 | 2025-05-13 04:24:59 | nylons | 1 | 48755 | 3 | 5.783 | 8430.7 |