History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"slabs"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1094 | 2025-09-26 08:07:40 | slabs | 1 | 28756 | 17 | 0.470 | 61183.0 |
1093 | 2025-09-24 04:24:35 | slabs | 1 | 28756 | 17 | 0.470 | 61183.0 |
1092 | 2025-09-22 08:43:53 | slabs | 1 | 28756 | 17 | 0.533 | 53951.2 |
1091 | 2025-09-21 05:51:56 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
1090 | 2025-09-17 10:43:06 | slabs | 1 | 28756 | 17 | 0.516 | 55728.7 |
1089 | 2025-09-16 16:37:46 | slabs | 1 | 28756 | 17 | 0.500 | 57512.0 |
1088 | 2025-09-16 11:01:58 | slabs | 1 | 28756 | 17 | 0.500 | 57512.0 |
1087 | 2025-09-15 14:43:02 | slabs | 1 | 28756 | 17 | 1.013 | 28387.0 |
1086 | 2025-09-15 00:25:16 | slabs | 1 | 28756 | 17 | 1.063 | 27051.7 |
1085 | 2025-09-14 19:00:28 | slabs | 1 | 28756 | 17 | 1.033 | 27837.4 |
1084 | 2025-09-13 13:04:56 | slabs | 1 | 28756 | 17 | 0.516 | 55728.7 |
1083 | 2025-09-13 08:33:54 | slabs | 1 | 28756 | 17 | 0.796 | 36125.6 |
1082 | 2025-09-12 16:44:01 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
1081 | 2025-09-12 04:59:50 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
1080 | 2025-09-11 23:37:32 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
1079 | 2025-09-11 07:55:51 | slabs | 1 | 28756 | 17 | 0.546 | 52666.7 |
1078 | 2025-09-10 20:23:59 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
1077 | 2025-09-10 16:06:04 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
1076 | 2025-09-09 12:23:04 | slabs | 1 | 28756 | 17 | 0.466 | 61708.2 |
1075 | 2025-09-09 05:38:13 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
1074 | 2025-09-08 10:02:48 | slabs | 1 | 28756 | 17 | 0.500 | 57512.0 |
1073 | 2025-09-07 12:40:40 | slabs | 1 | 28756 | 17 | 0.533 | 53951.2 |
1072 | 2025-09-07 10:14:19 | slabs | 1 | 28756 | 17 | 0.453 | 63479.0 |
1071 | 2025-09-07 04:58:01 | slabs | 1 | 28756 | 17 | 0.516 | 55728.7 |
1070 | 2025-09-06 02:21:26 | slabs | 1 | 28756 | 17 | 0.516 | 55728.7 |
1069 | 2025-09-05 00:28:15 | slabs | 1 | 28756 | 17 | 0.486 | 59168.7 |
1068 | 2025-09-03 22:24:58 | slabs | 1 | 28756 | 17 | 0.470 | 61183.0 |
1067 | 2025-09-02 19:33:38 | slabs | 1 | 28756 | 17 | 0.466 | 61708.2 |
1066 | 2025-09-01 18:33:21 | slabs | 1 | 28756 | 17 | 1.016 | 28303.1 |
1065 | 2025-09-01 00:51:25 | slabs | 1 | 28756 | 17 | 0.486 | 59168.7 |
1064 | 2025-08-30 21:18:22 | slabs | 1 | 28756 | 17 | 0.453 | 63479.0 |
1063 | 2025-08-30 17:25:06 | slabs | 1 | 28756 | 17 | 0.470 | 61183.0 |
1062 | 2025-08-29 22:46:56 | slabs | 1 | 28756 | 17 | 0.550 | 52283.6 |
1061 | 2025-08-28 19:23:30 | slabs | 1 | 28756 | 17 | 0.500 | 57512.0 |
1060 | 2025-08-27 18:35:45 | slabs | 1 | 28756 | 17 | 1.000 | 28756.0 |
1059 | 2025-08-26 15:00:36 | slabs | 1 | 28756 | 17 | 0.530 | 54256.6 |
1058 | 2025-08-25 20:52:53 | slabs | 1 | 28756 | 17 | 1.376 | 20898.3 |
1057 | 2025-08-24 19:52:12 | slabs | 1 | 28756 | 17 | 2.516 | 11429.3 |
1056 | 2025-08-23 04:48:47 | slabs | 1 | 28756 | 17 | 2.436 | 11804.6 |
1055 | 2025-08-22 12:17:05 | slabs | 1 | 28756 | 17 | 1.080 | 26625.9 |
1054 | 2025-08-21 09:17:17 | slabs | 1 | 28756 | 17 | 2.500 | 11502.4 |
1053 | 2025-08-20 15:57:22 | slabs | 1 | 28756 | 17 | 0.466 | 61708.2 |
1052 | 2025-08-18 21:02:22 | slabs | 1 | 28756 | 17 | 2.780 | 10343.9 |
1051 | 2025-08-16 10:04:06 | slabs | 1 | 28756 | 17 | 0.516 | 55728.7 |
1050 | 2025-08-13 20:07:47 | slabs | 1 | 28756 | 17 | 3.000 | 9585.3 |
1049 | 2025-08-13 07:38:05 | slabs | 1 | 28756 | 17 | 1.143 | 25158.4 |
1048 | 2025-08-12 00:35:10 | slabs | 1 | 28756 | 17 | 1.093 | 26309.2 |
1047 | 2025-08-11 15:05:18 | slabs | 1 | 28756 | 17 | 1.860 | 15460.2 |
1046 | 2025-08-10 10:30:52 | slabs | 1 | 28756 | 17 | 2.203 | 13053.1 |
1045 | 2025-08-09 08:32:26 | slabs | 1 | 28756 | 17 | 2.483 | 11581.2 |
1044 | 2025-08-08 05:16:33 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
1043 | 2025-08-06 10:50:04 | slabs | 1 | 28756 | 17 | 1.390 | 20687.8 |
1042 | 2025-08-04 14:16:55 | slabs | 1 | 28756 | 17 | 0.970 | 29645.4 |
1041 | 2025-08-04 02:18:06 | slabs | 1 | 28756 | 17 | 0.550 | 52283.6 |
1040 | 2025-08-03 10:46:23 | slabs | 1 | 28756 | 17 | 0.500 | 57512.0 |
1039 | 2025-08-01 09:16:21 | slabs | 1 | 28756 | 17 | 1.360 | 21144.1 |
1038 | 2025-08-01 05:18:22 | slabs | 1 | 28756 | 17 | 3.216 | 8941.5 |
1037 | 2025-08-01 04:07:19 | slabs | 2 | 53800 | 208 | 4.033 | 13339.9 |
1036 | 2025-07-31 08:15:09 | slabs | 1 | 28756 | 17 | 2.093 | 13739.1 |
1035 | 2025-07-30 11:53:56 | slabs | 2 | 53800 | 208 | 3.530 | 15240.8 |
1034 | 2025-07-27 19:20:09 | slabs | 2 | 53800 | 208 | 4.250 | 12658.8 |
1033 | 2025-07-27 07:47:51 | slabs | 2 | 53800 | 208 | 4.906 | 10966.2 |
1032 | 2025-07-26 23:48:08 | slabs | 2 | 53800 | 208 | 5.576 | 9648.5 |
1031 | 2025-07-25 23:23:00 | slabs | 2 | 53800 | 208 | 1.703 | 31591.3 |
1030 | 2025-07-25 01:42:00 | slabs | 2 | 53800 | 208 | 6.940 | 7752.2 |
1029 | 2025-07-23 14:44:13 | slabs | 2 | 53800 | 208 | 8.283 | 6495.2 |
1028 | 2025-07-21 13:39:27 | slabs | 2 | 53800 | 208 | 1.530 | 35163.4 |
1027 | 2025-07-21 11:21:15 | slabs | 2 | 53800 | 208 | 1.593 | 33772.8 |
1026 | 2025-07-19 20:39:17 | slabs | 1 | 28756 | 17 | 0.580 | 49579.3 |
1025 | 2025-07-19 20:39:15 | slabs | 1 | 28756 | 17 | 0.643 | 44721.6 |
1024 | 2025-07-17 14:54:52 | slabs | 1 | 28756 | 17 | 3.656 | 7865.4 |
1023 | 2025-07-14 06:40:54 | slabs | 1 | 28756 | 17 | 3.483 | 8256.1 |
1022 | 2025-07-11 01:41:50 | slabs | 1 | 28756 | 17 | 3.703 | 7765.6 |
1021 | 2025-07-10 15:14:40 | slabs | 1 | 28756 | 17 | 2.966 | 9695.2 |
1020 | 2025-07-07 12:59:07 | slabs | 2 | 53800 | 208 | 9.390 | 5729.5 |
1019 | 2025-07-05 16:48:01 | slabs | 2 | 53800 | 208 | 6.466 | 8320.4 |
1018 | 2025-07-03 01:26:50 | slabs | 1 | 28756 | 17 | 1.470 | 19561.9 |
1017 | 2025-07-02 04:17:28 | slabs | 1 | 28756 | 17 | 2.250 | 12780.4 |
1016 | 2025-06-28 08:34:29 | slabs | 1 | 28756 | 17 | 3.796 | 7575.3 |
1015 | 2025-06-23 09:03:35 | slabs | 2 | 53800 | 208 | 7.733 | 6957.2 |
1014 | 2025-06-20 10:37:37 | slabs | 2 | 53800 | 208 | 1.596 | 33709.3 |
1013 | 2025-06-16 05:11:44 | slabs | 1 | 28756 | 17 | 2.330 | 12341.6 |
1012 | 2025-06-13 15:55:24 | slabs | 1 | 28756 | 17 | 0.546 | 52666.7 |
1011 | 2025-06-12 14:59:39 | slabs | 1 | 28756 | 17 | 2.343 | 12273.2 |
1010 | 2025-06-11 23:39:44 | slabs | 1 | 28756 | 17 | 1.610 | 17860.9 |
1009 | 2025-06-07 00:34:59 | slabs | 1 | 28756 | 17 | 2.703 | 10638.5 |
1008 | 2025-06-04 09:18:42 | slabs | 1 | 28756 | 17 | 2.466 | 11661.0 |
1007 | 2025-06-03 00:07:44 | slabs | 1 | 28756 | 17 | 0.513 | 56054.6 |
1006 | 2025-06-02 03:45:46 | slabs | 1 | 28756 | 17 | 2.860 | 10054.5 |
1005 | 2025-06-01 02:46:36 | slabs | 2 | 53800 | 208 | 7.360 | 7309.8 |
1004 | 2025-05-30 11:37:14 | slabs | 1 | 28756 | 17 | 2.346 | 12257.5 |
1003 | 2025-05-30 00:31:49 | slabs | 2 | 53800 | 208 | 1.780 | 30224.7 |
1002 | 2025-05-29 07:58:10 | slabs | 1 | 28756 | 17 | 2.376 | 12102.7 |
1001 | 2025-05-28 10:27:13 | slabs | 2 | 53800 | 208 | 6.686 | 8046.7 |
1000 | 2025-05-28 08:01:22 | slabs | 1 | 28756 | 17 | 0.533 | 53951.2 |
999 | 2025-05-27 01:54:59 | slabs | 2 | 53800 | 208 | 11.156 | 4822.5 |
998 | 2025-05-25 00:36:11 | slabs | 1 | 28756 | 17 | 1.373 | 20943.9 |
997 | 2025-05-23 08:41:08 | slabs | 2 | 53800 | 208 | 1.563 | 34421.0 |
996 | 2025-05-23 02:06:39 | slabs | 2 | 53800 | 208 | 4.346 | 12379.2 |
995 | 2025-05-19 22:34:22 | slabs | 2 | 53800 | 208 | 6.483 | 8298.6 |