History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"slab"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1078 | 2025-08-27 12:16:21 | slab | 1 | 13983 | 17 | 0.263 | 53167.3 |
1077 | 2025-08-22 20:44:42 | slab | 2 | 29872 | 223 | 6.890 | 4335.6 |
1076 | 2025-08-12 23:19:01 | slab | 2 | 29872 | 223 | 4.516 | 6614.7 |
1075 | 2025-08-11 23:42:26 | slab | 2 | 29872 | 223 | 2.013 | 14839.5 |
1074 | 2025-08-11 10:37:27 | slab | 1 | 13983 | 17 | 0.686 | 20383.4 |
1073 | 2025-08-10 21:41:31 | slab | 2 | 29872 | 223 | 2.266 | 13182.7 |
1072 | 2025-08-09 11:26:37 | slab | 1 | 13983 | 17 | 1.983 | 7051.4 |
1071 | 2025-08-08 04:02:46 | slab | 1 | 13983 | 17 | 0.500 | 27966.0 |
1070 | 2025-08-05 05:44:25 | slab | 2 | 29872 | 223 | 3.796 | 7869.3 |
1069 | 2025-08-04 14:53:13 | slab | 2 | 29872 | 223 | 5.810 | 5141.5 |
1068 | 2025-08-03 02:18:43 | slab | 2 | 29872 | 223 | 2.080 | 14361.5 |
1067 | 2025-08-02 21:23:21 | slab | 1 | 13983 | 17 | 0.576 | 24276.0 |
1066 | 2025-08-02 01:50:37 | slab | 1 | 13983 | 17 | 0.563 | 24836.6 |
1065 | 2025-07-31 23:54:51 | slab | 2 | 29872 | 223 | 2.283 | 13084.5 |
1064 | 2025-07-31 06:15:16 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 |
1063 | 2025-07-31 01:38:36 | slab | 1 | 13983 | 17 | 0.500 | 27966.0 |
1062 | 2025-07-27 03:05:03 | slab | 1 | 13983 | 17 | 0.670 | 20870.1 |
1061 | 2025-07-25 09:33:36 | slab | 1 | 13983 | 17 | 1.156 | 12096.0 |
1060 | 2025-07-24 08:45:29 | slab | 1 | 13983 | 17 | 0.703 | 19890.5 |
1059 | 2025-07-22 15:23:10 | slab | 1 | 13983 | 17 | 0.640 | 21848.4 |
1058 | 2025-07-18 17:29:05 | slab | 1 | 13983 | 17 | 0.953 | 14672.6 |
1057 | 2025-07-16 08:27:16 | slab | 1 | 13983 | 17 | 1.876 | 7453.6 |
1056 | 2025-07-11 08:12:34 | slab | 1 | 13983 | 17 | 1.656 | 8443.8 |
1055 | 2025-07-08 10:42:35 | slab | 1 | 13983 | 17 | 0.890 | 15711.2 |
1054 | 2025-07-02 01:10:58 | slab | 1 | 13983 | 17 | 0.436 | 32071.1 |
1053 | 2025-07-01 22:49:03 | slab | 2 | 29872 | 223 | 3.953 | 7556.8 |
1052 | 2025-06-30 05:55:08 | slab | 1 | 13983 | 17 | 0.513 | 27257.3 |
1051 | 2025-06-30 00:59:28 | slab | 2 | 29872 | 223 | 4.533 | 6589.9 |
1050 | 2025-06-29 23:57:08 | slab | 1 | 13983 | 17 | 0.563 | 24836.6 |
1049 | 2025-06-28 09:26:48 | slab | 2 | 29872 | 223 | 2.343 | 12749.5 |
1048 | 2025-06-27 04:09:15 | slab | 2 | 29872 | 223 | 2.483 | 12030.6 |
1047 | 2025-06-26 11:16:25 | slab | 1 | 13983 | 17 | 0.580 | 24108.6 |
1046 | 2025-06-23 01:52:41 | slab | 1 | 13983 | 17 | 0.313 | 44674.1 |
1045 | 2025-06-21 04:27:45 | slab | 1 | 13983 | 17 | 1.860 | 7517.7 |
1044 | 2025-06-20 20:35:07 | slab | 1 | 13983 | 17 | 0.720 | 19420.8 |
1043 | 2025-06-18 11:52:12 | slab | 2 | 29872 | 223 | 2.936 | 10174.4 |
1042 | 2025-06-18 08:27:19 | slab | 2 | 29872 | 223 | 7.283 | 4101.6 |
1041 | 2025-06-18 03:09:55 | slab | 2 | 29872 | 223 | 5.610 | 5324.8 |
1040 | 2025-06-16 17:51:11 | slab | 2 | 29872 | 223 | 4.250 | 7028.7 |
1039 | 2025-06-15 07:58:50 | slab | 1 | 13983 | 17 | 0.266 | 52567.7 |
1038 | 2025-06-14 07:28:19 | slab | 1 | 13983 | 17 | 1.263 | 11071.3 |
1037 | 2025-06-10 07:29:35 | slab | 1 | 13983 | 17 | 1.610 | 8685.1 |
1036 | 2025-06-08 10:10:06 | slab | 1 | 13983 | 17 | 1.216 | 11499.2 |
1035 | 2025-06-06 17:20:34 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
1034 | 2025-06-05 07:39:19 | slab | 1 | 13983 | 17 | 0.310 | 45106.5 |
1033 | 2025-06-04 21:25:59 | slab | 1 | 13983 | 17 | 1.343 | 10411.8 |
1032 | 2025-06-04 03:58:51 | slab | 2 | 29872 | 223 | 4.436 | 6734.0 |
1031 | 2025-06-02 09:21:04 | slab | 2 | 29872 | 223 | 2.266 | 13182.7 |
1030 | 2025-06-02 01:02:18 | slab | 1 | 13983 | 17 | 0.343 | 40766.8 |
1029 | 2025-05-31 11:14:04 | slab | 1 | 13983 | 17 | 1.173 | 11920.7 |
1028 | 2025-05-31 05:13:05 | slab | 1 | 13983 | 17 | 1.313 | 10649.7 |
1027 | 2025-05-30 23:52:50 | slab | 2 | 29872 | 223 | 3.173 | 9414.4 |
1026 | 2025-05-30 02:32:36 | slab | 2 | 29872 | 223 | 0.923 | 32364.0 |
1025 | 2025-05-29 03:27:49 | slab | 2 | 29872 | 223 | 3.093 | 9657.9 |
1024 | 2025-05-28 00:43:38 | slab | 1 | 13983 | 17 | 0.263 | 53167.3 |
1023 | 2025-05-27 21:02:05 | slab | 1 | 13983 | 17 | 0.220 | 63559.1 |
1022 | 2025-05-27 18:37:17 | slab | 2 | 29872 | 223 | 4.530 | 6594.3 |
1021 | 2025-05-27 10:16:07 | slab | 1 | 13983 | 17 | 0.890 | 15711.2 |
1020 | 2025-05-26 08:47:36 | slab | 1 | 13983 | 17 | 1.500 | 9322.0 |
1019 | 2025-05-23 12:59:02 | slab | 1 | 13983 | 17 | 0.780 | 17926.9 |
1018 | 2025-05-21 14:57:09 | slab | 1 | 13983 | 17 | 0.970 | 14415.5 |
1017 | 2025-05-17 23:10:16 | slab | 2 | 29872 | 223 | 2.656 | 11247.0 |
1016 | 2025-05-17 22:58:27 | slab | 1 | 13983 | 17 | 0.813 | 17199.3 |
1015 | 2025-05-17 20:50:58 | slab | 1 | 13983 | 17 | 1.623 | 8615.5 |
1014 | 2025-05-17 18:46:27 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 |
1013 | 2025-05-17 08:38:39 | slab | 2 | 29872 | 223 | 0.940 | 31778.7 |
1012 | 2025-05-16 21:23:45 | slab | 2 | 29872 | 223 | 0.860 | 34734.9 |
1011 | 2025-05-16 08:03:28 | slab | 2 | 29872 | 223 | 2.170 | 13765.9 |
1010 | 2025-05-14 22:10:11 | slab | 2 | 29872 | 223 | 0.843 | 35435.3 |
1009 | 2025-05-13 23:13:51 | slab | 2 | 29872 | 223 | 4.203 | 7107.3 |
1008 | 2025-05-12 02:25:19 | slab | 1 | 13983 | 17 | 1.623 | 8615.5 |
1007 | 2025-05-08 20:55:28 | slab | 1 | 13983 | 17 | 1.143 | 12233.6 |
1006 | 2025-05-05 12:14:00 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 |
1005 | 2025-05-02 12:29:57 | slab | 1 | 13983 | 17 | 1.340 | 10435.1 |
1004 | 2025-05-01 00:57:49 | slab | 1 | 13983 | 17 | 1.623 | 8615.5 |
1003 | 2025-04-30 05:32:06 | slab | 1 | 13983 | 17 | 1.110 | 12597.3 |
1002 | 2025-04-27 01:31:04 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
1001 | 2025-04-23 12:27:25 | slab | 1 | 13983 | 17 | 1.360 | 10281.6 |
1000 | 2025-04-20 14:42:09 | slab | 1 | 13983 | 17 | 1.936 | 7222.6 |
999 | 2025-04-16 09:10:19 | slab | 1 | 13983 | 17 | 1.266 | 11045.0 |
998 | 2025-04-14 17:00:37 | slab | 1 | 13983 | 17 | 1.330 | 10513.5 |
997 | 2025-04-13 01:56:50 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
996 | 2025-04-06 09:03:58 | slab | 1 | 13983 | 17 | 1.000 | 13983.0 |
995 | 2025-03-31 02:31:10 | slab | 1 | 13983 | 17 | 1.576 | 8872.5 |
994 | 2025-03-29 06:46:49 | slab | 1 | 13983 | 17 | 1.250 | 11186.4 |
993 | 2025-03-23 14:54:08 | slab | 1 | 13983 | 17 | 0.670 | 20870.1 |
992 | 2025-03-20 17:46:04 | slab | 1 | 13983 | 17 | 1.110 | 12597.3 |
991 | 2025-03-14 21:03:49 | slab | 1 | 13983 | 17 | 0.626 | 22337.1 |
990 | 2025-03-10 20:18:17 | slab | 1 | 13983 | 17 | 0.826 | 16928.6 |
989 | 2025-03-06 23:28:09 | slab | 2 | 29872 | 223 | 4.530 | 6594.3 |
988 | 2025-03-06 23:18:31 | slab | 1 | 13983 | 17 | 0.936 | 14939.1 |
987 | 2025-02-26 02:38:42 | slab | 1 | 13983 | 17 | 1.623 | 8615.5 |
986 | 2025-02-26 02:15:31 | slab | 1 | 13983 | 17 | 0.623 | 22444.6 |
985 | 2025-02-25 12:46:49 | slab | 2 | 29872 | 223 | 2.453 | 12177.7 |
984 | 2025-02-25 09:36:42 | slab | 2 | 29872 | 223 | 2.500 | 11948.8 |
983 | 2025-02-25 08:32:05 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 |
982 | 2025-02-16 07:24:01 | slab | 1 | 13983 | 17 | 1.326 | 10545.2 |
981 | 2025-02-06 05:27:21 | slab | 1 | 13983 | 17 | 0.280 | 49939.3 |
980 | 2025-02-05 05:34:00 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
979 | 2025-02-04 19:03:24 | slab | 2 | 29872 | 223 | 4.360 | 6851.4 |