History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"snows"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1125 | 2025-08-24 07:14:47 | snows | 1 | 28756 | 15 | 3.296 | 8724.5 |
1124 | 2025-08-11 04:34:37 | snows | 1 | 28756 | 15 | 2.000 | 14378.0 |
1123 | 2025-08-10 04:51:19 | snows | 1 | 28756 | 15 | 1.106 | 26000.0 |
1122 | 2025-08-09 06:10:53 | snows | 1 | 28756 | 15 | 2.580 | 11145.7 |
1121 | 2025-08-04 01:17:26 | snows | 1 | 28756 | 15 | 1.876 | 15328.4 |
1120 | 2025-08-03 19:59:01 | snows | 2 | 53800 | 162 | 3.640 | 14780.2 |
1119 | 2025-08-03 00:57:57 | snows | 2 | 53800 | 162 | 4.063 | 13241.4 |
1118 | 2025-08-02 07:00:45 | snows | 2 | 53800 | 162 | 6.936 | 7756.6 |
1117 | 2025-08-02 04:15:59 | snows | 1 | 28756 | 15 | 1.016 | 28303.1 |
1116 | 2025-08-01 13:39:19 | snows | 1 | 28756 | 15 | 1.576 | 18246.2 |
1115 | 2025-08-01 10:14:12 | snows | 2 | 53800 | 162 | 10.873 | 4948.0 |
1114 | 2025-07-31 01:25:08 | snows | 2 | 53800 | 162 | 1.596 | 33709.3 |
1113 | 2025-07-30 21:52:31 | snows | 2 | 53800 | 162 | 3.876 | 13880.3 |
1112 | 2025-07-30 01:51:28 | snows | 2 | 53800 | 162 | 4.110 | 13090.0 |
1111 | 2025-07-29 22:46:32 | snows | 2 | 53800 | 162 | 5.733 | 9384.3 |
1110 | 2025-07-28 22:52:30 | snows | 2 | 53800 | 162 | 3.970 | 13551.6 |
1109 | 2025-07-28 02:56:21 | snows | 2 | 53800 | 162 | 3.813 | 14109.6 |
1108 | 2025-07-27 22:40:22 | snows | 2 | 53800 | 162 | 3.546 | 15172.0 |
1107 | 2025-07-26 14:30:11 | snows | 2 | 53800 | 162 | 9.033 | 5955.9 |
1106 | 2025-07-26 12:37:47 | snows | 1 | 28756 | 15 | 0.516 | 55728.7 |
1105 | 2025-07-26 09:28:45 | snows | 2 | 53800 | 162 | 1.563 | 34421.0 |
1104 | 2025-07-25 15:29:46 | snows | 2 | 53800 | 162 | 3.016 | 17838.2 |
1103 | 2025-07-25 04:18:29 | snows | 1 | 28756 | 15 | 1.343 | 21411.8 |
1102 | 2025-07-24 14:17:21 | snows | 2 | 53800 | 162 | 7.876 | 6830.9 |
1101 | 2025-07-24 00:26:03 | snows | 2 | 53800 | 162 | 5.390 | 9981.4 |
1100 | 2025-07-23 10:36:09 | snows | 1 | 28756 | 15 | 3.483 | 8256.1 |
1099 | 2025-07-23 08:15:27 | snows | 2 | 53800 | 162 | 7.783 | 6912.5 |
1098 | 2025-07-23 01:06:43 | snows | 2 | 53800 | 162 | 11.716 | 4592.0 |
1097 | 2025-07-22 23:52:01 | snows | 1 | 28756 | 15 | 1.876 | 15328.4 |
1096 | 2025-07-22 22:50:43 | snows | 1 | 28756 | 15 | 1.890 | 15214.8 |
1095 | 2025-07-22 10:11:23 | snows | 2 | 53800 | 162 | 1.750 | 30742.9 |
1094 | 2025-07-21 16:52:55 | snows | 2 | 53800 | 162 | 1.500 | 35866.7 |
1093 | 2025-07-20 19:44:56 | snows | 2 | 53800 | 162 | 3.110 | 17299.0 |
1092 | 2025-07-19 19:40:49 | snows | 2 | 53800 | 162 | 1.423 | 37807.4 |
1091 | 2025-07-19 15:53:09 | snows | 2 | 53800 | 162 | 1.580 | 34050.6 |
1090 | 2025-07-19 02:33:36 | snows | 2 | 53800 | 162 | 3.250 | 16553.8 |
1089 | 2025-07-18 23:40:18 | snows | 1 | 28756 | 15 | 0.516 | 55728.7 |
1088 | 2025-07-17 17:25:29 | snows | 2 | 53800 | 162 | 9.470 | 5681.1 |
1087 | 2025-07-16 18:48:14 | snows | 1 | 28756 | 15 | 0.500 | 57512.0 |
1086 | 2025-07-16 18:30:44 | snows | 2 | 53800 | 162 | 1.563 | 34421.0 |
1085 | 2025-07-16 15:24:55 | snows | 2 | 53800 | 162 | 10.676 | 5039.3 |
1084 | 2025-07-15 20:18:24 | snows | 2 | 53800 | 162 | 4.076 | 13199.2 |
1083 | 2025-07-13 20:52:06 | snows | 2 | 53800 | 162 | 8.156 | 6596.4 |
1082 | 2025-07-13 10:46:01 | snows | 1 | 28756 | 15 | 0.516 | 55728.7 |
1081 | 2025-07-12 05:58:18 | snows | 1 | 28756 | 15 | 0.530 | 54256.6 |
1080 | 2025-07-10 10:30:51 | snows | 1 | 28756 | 15 | 0.483 | 59536.2 |
1079 | 2025-07-06 19:36:33 | snows | 1 | 28756 | 15 | 0.500 | 57512.0 |
1078 | 2025-07-06 11:55:44 | snows | 1 | 28756 | 15 | 0.516 | 55728.7 |
1077 | 2025-07-06 06:42:13 | snows | 1 | 28756 | 15 | 0.533 | 53951.2 |
1076 | 2025-07-06 03:37:36 | snows | 1 | 28756 | 15 | 0.513 | 56054.6 |
1075 | 2025-07-02 12:13:53 | snows | 1 | 28756 | 15 | 3.406 | 8442.7 |
1074 | 2025-07-02 02:07:34 | snows | 2 | 53800 | 162 | 6.200 | 8677.4 |
1073 | 2025-06-30 03:25:20 | snows | 2 | 53800 | 162 | 11.813 | 4554.3 |
1072 | 2025-06-29 08:54:44 | snows | 1 | 28756 | 15 | 1.546 | 18600.3 |
1071 | 2025-06-28 00:23:36 | snows | 1 | 28756 | 15 | 3.220 | 8930.4 |
1070 | 2025-06-26 11:43:07 | snows | 1 | 28756 | 15 | 2.580 | 11145.7 |
1069 | 2025-06-22 17:16:54 | snows | 1 | 28756 | 15 | 3.593 | 8003.3 |
1068 | 2025-06-22 11:54:35 | snows | 2 | 53800 | 162 | 5.923 | 9083.2 |
1067 | 2025-06-21 23:26:55 | snows | 2 | 53800 | 162 | 5.906 | 9109.4 |
1066 | 2025-06-21 06:19:07 | snows | 1 | 28756 | 15 | 2.516 | 11429.3 |
1065 | 2025-06-21 02:14:34 | snows | 2 | 53800 | 162 | 10.173 | 5288.5 |
1064 | 2025-06-20 12:58:12 | snows | 2 | 53800 | 162 | 1.593 | 33772.8 |
1063 | 2025-06-19 12:18:01 | snows | 2 | 53800 | 162 | 1.750 | 30742.9 |
1062 | 2025-06-18 18:48:10 | snows | 2 | 53800 | 162 | 1.690 | 31834.3 |
1061 | 2025-06-17 06:34:32 | snows | 2 | 53800 | 162 | 1.686 | 31909.8 |
1060 | 2025-06-17 06:26:15 | snows | 1 | 28756 | 15 | 0.550 | 52283.6 |
1059 | 2025-06-16 01:04:56 | snows | 1 | 28756 | 15 | 1.470 | 19561.9 |
1058 | 2025-06-15 07:27:09 | snows | 1 | 28756 | 15 | 0.470 | 61183.0 |
1057 | 2025-06-14 05:39:57 | snows | 1 | 28756 | 15 | 2.716 | 10587.6 |
1056 | 2025-06-13 09:18:15 | snows | 1 | 28756 | 15 | 0.500 | 57512.0 |
1055 | 2025-06-11 15:36:07 | snows | 2 | 53800 | 162 | 1.610 | 33416.1 |
1054 | 2025-06-10 20:20:24 | snows | 2 | 53800 | 162 | 1.670 | 32215.6 |
1053 | 2025-06-10 04:08:36 | snows | 1 | 28756 | 15 | 2.673 | 10757.9 |
1052 | 2025-06-09 19:20:14 | snows | 2 | 53800 | 162 | 1.640 | 32804.9 |
1051 | 2025-06-07 14:14:54 | snows | 2 | 53800 | 162 | 8.266 | 6508.6 |
1050 | 2025-06-06 20:10:15 | snows | 1 | 28756 | 15 | 0.453 | 63479.0 |
1049 | 2025-06-06 03:26:58 | snows | 2 | 53800 | 162 | 8.393 | 6410.1 |
1048 | 2025-06-04 12:40:12 | snows | 2 | 53800 | 162 | 4.670 | 11520.3 |
1047 | 2025-06-04 04:22:38 | snows | 2 | 53800 | 162 | 6.890 | 7808.4 |
1046 | 2025-06-02 11:36:57 | snows | 1 | 28756 | 15 | 2.186 | 13154.6 |
1045 | 2025-06-02 00:09:07 | snows | 1 | 28756 | 15 | 3.500 | 8216.0 |
1044 | 2025-06-01 08:37:43 | snows | 1 | 28756 | 15 | 0.986 | 29164.3 |
1043 | 2025-05-31 02:43:39 | snows | 2 | 53800 | 162 | 9.753 | 5516.3 |
1042 | 2025-05-30 13:08:41 | snows | 1 | 28756 | 15 | 1.470 | 19561.9 |
1041 | 2025-05-30 12:26:42 | snows | 1 | 28756 | 15 | 1.656 | 17364.7 |
1040 | 2025-05-29 07:37:48 | snows | 2 | 53800 | 162 | 5.513 | 9758.8 |
1039 | 2025-05-28 05:31:50 | snows | 1 | 28756 | 15 | 0.796 | 36125.6 |
1038 | 2025-05-27 01:56:42 | snows | 2 | 53800 | 162 | 8.376 | 6423.1 |
1037 | 2025-05-26 19:25:32 | snows | 1 | 28756 | 15 | 3.546 | 8109.4 |
1036 | 2025-05-25 16:24:38 | snows | 1 | 28756 | 15 | 0.483 | 59536.2 |
1035 | 2025-05-24 14:46:19 | snows | 2 | 53800 | 162 | 9.593 | 5608.3 |
1034 | 2025-05-22 12:13:40 | snows | 2 | 53800 | 162 | 9.236 | 5825.0 |
1033 | 2025-05-20 22:28:11 | snows | 2 | 53800 | 162 | 1.640 | 32804.9 |
1032 | 2025-05-19 18:23:30 | snows | 2 | 53800 | 162 | 1.593 | 33772.8 |
1031 | 2025-05-18 21:26:46 | snows | 2 | 53800 | 162 | 1.580 | 34050.6 |
1030 | 2025-05-17 09:58:55 | snows | 1 | 28756 | 15 | 1.096 | 26237.2 |
1029 | 2025-05-10 04:39:08 | snows | 1 | 28756 | 15 | 2.263 | 12707.0 |
1028 | 2025-05-07 20:44:52 | snows | 2 | 53800 | 162 | 4.826 | 11147.9 |
1027 | 2025-05-02 11:16:30 | snows | 1 | 28756 | 15 | 1.390 | 20687.8 |
1026 | 2025-05-02 03:08:41 | snows | 2 | 53800 | 162 | 12.203 | 4408.8 |