History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"clustering"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 993 | 2025-10-31 00:59:09 | clustering | 4 | 161450 | 503 | 11.406 | 14154.8 |
| 992 | 2025-10-29 20:04:41 | clustering | 3 | 140603 | 94 | 5.906 | 23806.8 |
| 991 | 2025-10-27 23:19:34 | clustering | 2 | 108824 | 16 | 2.813 | 38686.1 |
| 990 | 2025-10-26 17:03:46 | clustering | 2 | 108824 | 16 | 3.093 | 35184.0 |
| 989 | 2025-10-26 02:42:12 | clustering | 1 | 67641 | 5 | 1.096 | 61716.2 |
| 988 | 2025-10-25 06:00:02 | clustering | 1 | 67641 | 5 | 1.203 | 56226.9 |
| 987 | 2025-10-23 10:47:26 | clustering | 4 | 161450 | 503 | 58.970 | 2737.8 |
| 986 | 2025-10-23 08:20:29 | clustering | 1 | 67641 | 5 | 4.983 | 13574.4 |
| 985 | 2025-10-23 00:39:06 | clustering | 4 | 161450 | 503 | 56.380 | 2863.6 |
| 984 | 2025-10-21 17:08:02 | clustering | 1 | 67641 | 5 | 2.860 | 23650.7 |
| 983 | 2025-10-21 16:32:39 | clustering | 2 | 108824 | 16 | 10.910 | 9974.7 |
| 982 | 2025-10-20 18:36:31 | clustering | 1 | 67641 | 5 | 6.046 | 11187.7 |
| 981 | 2025-10-20 18:36:24 | clustering | 1 | 67641 | 5 | 5.516 | 12262.7 |
| 980 | 2025-10-18 23:45:19 | clustering | 4 | 161450 | 503 | 11.673 | 13831.1 |
| 979 | 2025-10-18 19:30:36 | clustering | 1 | 67641 | 5 | 1.140 | 59334.2 |
| 978 | 2025-10-18 16:12:58 | clustering | 4 | 161450 | 503 | 17.936 | 9001.4 |
| 977 | 2025-10-18 16:04:44 | clustering | 4 | 161450 | 503 | 10.080 | 16016.9 |
| 976 | 2025-10-17 11:15:51 | clustering | 1 | 67641 | 5 | 1.143 | 59178.5 |
| 975 | 2025-10-17 11:15:37 | clustering | 1 | 67641 | 5 | 1.140 | 59334.2 |
| 974 | 2025-10-15 08:44:57 | clustering | 4 | 161450 | 503 | 11.800 | 13682.2 |
| 973 | 2025-10-09 22:22:31 | clustering | 1 | 67641 | 5 | 1.143 | 59178.5 |
| 972 | 2025-10-08 20:42:52 | clustering | 2 | 108824 | 16 | 3.233 | 33660.4 |
| 971 | 2025-10-07 23:31:15 | clustering | 4 | 161450 | 503 | 9.500 | 16994.7 |
| 970 | 2025-10-07 08:09:52 | clustering | 1 | 67641 | 5 | 1.190 | 56841.2 |
| 969 | 2025-10-05 23:15:27 | clustering | 1 | 67641 | 5 | 1.063 | 63632.2 |
| 968 | 2025-10-05 16:50:02 | clustering | 4 | 161450 | 503 | 10.796 | 14954.6 |
| 967 | 2025-10-02 06:13:15 | clustering | 3 | 140603 | 94 | 7.576 | 18559.0 |
| 966 | 2025-10-02 01:58:47 | clustering | 1 | 67641 | 5 | 1.060 | 63812.3 |
| 965 | 2025-09-30 19:47:36 | clustering | 3 | 140603 | 94 | 11.453 | 12276.5 |
| 964 | 2025-09-30 08:17:08 | clustering | 1 | 67641 | 5 | 1.030 | 65670.9 |
| 963 | 2025-09-28 13:43:47 | clustering | 4 | 161450 | 503 | 11.563 | 13962.6 |
| 962 | 2025-09-28 04:11:42 | clustering | 1 | 67641 | 5 | 1.080 | 62630.6 |
| 961 | 2025-09-24 16:25:04 | clustering | 1 | 67641 | 5 | 1.076 | 62863.4 |
| 960 | 2025-09-23 05:29:23 | clustering | 4 | 161450 | 503 | 11.250 | 14351.1 |
| 959 | 2025-09-21 04:20:43 | clustering | 1 | 67641 | 5 | 1.046 | 64666.3 |
| 958 | 2025-09-19 17:03:42 | clustering | 1 | 67641 | 5 | 1.140 | 59334.2 |
| 957 | 2025-09-19 00:25:12 | clustering | 3 | 140603 | 94 | 6.673 | 21070.4 |
| 956 | 2025-09-18 00:29:20 | clustering | 4 | 161450 | 503 | 11.126 | 14511.1 |
| 955 | 2025-09-17 12:57:04 | clustering | 4 | 161450 | 503 | 12.016 | 13436.3 |
| 954 | 2025-09-14 08:21:27 | clustering | 3 | 140603 | 94 | 5.796 | 24258.6 |
| 953 | 2025-09-13 00:20:45 | clustering | 3 | 140603 | 94 | 6.063 | 23190.3 |
| 952 | 2025-09-12 11:08:51 | clustering | 3 | 140603 | 94 | 6.393 | 21993.3 |
| 951 | 2025-09-10 04:08:34 | clustering | 2 | 108824 | 16 | 3.046 | 35726.9 |
| 950 | 2025-09-04 05:04:28 | clustering | 2 | 108824 | 16 | 2.826 | 38508.1 |
| 949 | 2025-09-03 07:02:50 | clustering | 4 | 161450 | 503 | 10.766 | 14996.3 |
| 948 | 2025-09-01 22:14:50 | clustering | 1 | 67641 | 5 | 1.123 | 60232.4 |
| 947 | 2025-09-01 19:17:35 | clustering | 4 | 161450 | 503 | 16.296 | 9907.3 |
| 946 | 2025-08-26 07:31:08 | clustering | 4 | 161450 | 503 | 12.046 | 13402.8 |
| 945 | 2025-08-21 09:39:55 | clustering | 4 | 161450 | 503 | 65.223 | 2475.4 |
| 944 | 2025-08-21 09:09:48 | clustering | 4 | 161450 | 503 | 33.280 | 4851.3 |
| 943 | 2025-08-21 05:06:29 | clustering | 4 | 161450 | 503 | 34.000 | 4748.5 |
| 942 | 2025-08-20 21:46:53 | clustering | 1 | 67641 | 5 | 3.003 | 22524.5 |
| 941 | 2025-08-20 16:41:27 | clustering | 4 | 161450 | 503 | 12.093 | 13350.7 |
| 940 | 2025-08-20 12:19:55 | clustering | 2 | 108824 | 16 | 2.766 | 39343.5 |
| 939 | 2025-08-20 05:33:18 | clustering | 1 | 67641 | 5 | 2.186 | 30942.8 |
| 938 | 2025-08-19 22:28:46 | clustering | 4 | 161450 | 503 | 11.546 | 13983.2 |
| 937 | 2025-08-05 17:12:05 | clustering | 1 | 67641 | 5 | 2.470 | 27385.0 |
| 936 | 2025-08-05 16:25:17 | clustering | 1 | 67641 | 5 | 2.266 | 29850.4 |
| 935 | 2025-08-05 14:18:39 | clustering | 1 | 67641 | 5 | 2.483 | 27241.6 |
| 934 | 2025-07-31 15:40:26 | clustering | 1 | 67641 | 5 | 1.156 | 58513.0 |
| 933 | 2025-07-20 00:35:14 | clustering | 2 | 108824 | 16 | 4.873 | 22332.0 |
| 932 | 2025-07-19 20:37:10 | clustering | 1 | 67641 | 5 | 1.216 | 55625.8 |
| 931 | 2025-07-19 12:45:29 | clustering | 1 | 67641 | 5 | 1.406 | 48108.8 |
| 930 | 2025-07-13 01:33:57 | clustering | 2 | 108824 | 16 | 3.033 | 35880.0 |
| 929 | 2025-07-12 23:06:16 | clustering | 3 | 140603 | 94 | 16.813 | 8362.8 |
| 928 | 2025-07-12 22:09:33 | clustering | 3 | 140603 | 94 | 13.610 | 10330.9 |
| 927 | 2025-07-12 18:47:31 | clustering | 3 | 140603 | 94 | 6.346 | 22156.2 |
| 926 | 2025-07-12 18:28:57 | clustering | 1 | 67641 | 5 | 1.186 | 57032.9 |
| 925 | 2025-07-11 12:00:30 | clustering | 3 | 140603 | 94 | 35.016 | 4015.4 |
| 924 | 2025-07-10 00:44:13 | clustering | 3 | 140603 | 94 | 28.750 | 4890.5 |
| 923 | 2025-07-09 22:40:33 | clustering | 1 | 67641 | 5 | 4.966 | 13620.8 |
| 922 | 2025-07-04 14:38:57 | clustering | 1 | 67641 | 5 | 7.970 | 8487.0 |
| 921 | 2025-07-04 13:44:11 | clustering | 4 | 161450 | 503 | 60.546 | 2666.6 |
| 920 | 2025-07-04 09:06:00 | clustering | 4 | 161450 | 503 | 12.656 | 12756.8 |
| 919 | 2025-07-03 05:10:40 | clustering | 4 | 161450 | 503 | 53.283 | 3030.0 |
| 918 | 2025-07-01 17:17:21 | clustering | 4 | 161450 | 503 | 11.470 | 14075.9 |
| 917 | 2025-06-30 13:04:58 | clustering | 1 | 67641 | 5 | 4.563 | 14823.8 |
| 916 | 2025-06-30 07:18:55 | clustering | 2 | 108824 | 16 | 11.983 | 9081.5 |
| 915 | 2025-06-30 04:49:47 | clustering | 4 | 161450 | 503 | 58.020 | 2782.7 |
| 914 | 2025-06-28 06:08:23 | clustering | 1 | 67641 | 5 | 2.690 | 25145.4 |
| 913 | 2025-06-23 07:13:02 | clustering | 1 | 67641 | 5 | 5.653 | 11965.5 |
| 912 | 2025-06-20 10:16:52 | clustering | 1 | 67641 | 5 | 8.563 | 7899.2 |
| 911 | 2025-06-14 21:31:18 | clustering | 1 | 67641 | 5 | 8.203 | 8245.9 |
| 910 | 2025-06-12 12:04:14 | clustering | 3 | 140603 | 94 | 28.503 | 4932.9 |
| 909 | 2025-06-10 07:52:42 | clustering | 3 | 140603 | 94 | 35.003 | 4016.9 |
| 908 | 2025-06-09 21:48:11 | clustering | 1 | 67641 | 5 | 4.546 | 14879.2 |
| 907 | 2025-06-07 23:06:00 | clustering | 1 | 67641 | 5 | 2.673 | 25305.3 |
| 906 | 2025-06-07 07:59:12 | clustering | 3 | 140603 | 94 | 5.360 | 26231.9 |
| 905 | 2025-06-04 03:39:22 | clustering | 1 | 67641 | 5 | 6.516 | 10380.8 |
| 904 | 2025-06-04 00:06:27 | clustering | 2 | 108824 | 16 | 7.436 | 14634.7 |
| 903 | 2025-06-03 13:16:31 | clustering | 1 | 67641 | 5 | 1.190 | 56841.2 |
| 902 | 2025-05-27 08:48:36 | clustering | 3 | 140603 | 94 | 29.046 | 4840.7 |
| 901 | 2025-05-26 06:11:11 | clustering | 1 | 67641 | 5 | 5.170 | 13083.4 |
| 900 | 2025-05-25 10:39:18 | clustering | 1 | 67641 | 5 | 1.110 | 60937.8 |
| 899 | 2025-05-25 04:05:00 | clustering | 1 | 67641 | 5 | 3.343 | 20233.6 |
| 898 | 2025-05-24 08:37:52 | clustering | 1 | 67641 | 5 | 5.733 | 11798.5 |
| 897 | 2025-05-22 13:46:15 | clustering | 2 | 108824 | 16 | 15.313 | 7106.6 |
| 896 | 2025-05-22 13:21:11 | clustering | 3 | 140603 | 94 | 15.830 | 8882.1 |
| 895 | 2025-05-22 07:57:09 | clustering | 3 | 140603 | 94 | 36.816 | 3819.1 |
| 894 | 2025-05-20 11:02:37 | clustering | 3 | 140603 | 94 | 21.143 | 6650.1 |