History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"hash"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1127 | 2025-06-19 11:40:15 | hash | 1 | 13983 | 21 | 1.796 | 7785.6 |
1126 | 2025-06-12 10:09:36 | hash | 2 | 29872 | 246 | 2.916 | 10244.2 |
1125 | 2025-06-12 02:32:36 | hash | 1 | 13983 | 21 | 1.623 | 8615.5 |
1124 | 2025-06-12 01:38:54 | hash | 1 | 13983 | 21 | 0.843 | 16587.2 |
1123 | 2025-06-06 02:03:19 | hash | 2 | 29872 | 246 | 7.360 | 4058.7 |
1122 | 2025-06-05 16:16:51 | hash | 2 | 29872 | 246 | 0.826 | 36164.6 |
1121 | 2025-06-05 09:06:36 | hash | 2 | 29872 | 246 | 4.923 | 6067.8 |
1120 | 2025-06-03 05:27:16 | hash | 2 | 29872 | 246 | 4.280 | 6979.4 |
1119 | 2025-06-01 19:09:08 | hash | 2 | 29872 | 246 | 1.016 | 29401.6 |
1118 | 2025-05-31 05:52:15 | hash | 1 | 13983 | 21 | 1.186 | 11790.1 |
1117 | 2025-05-29 18:45:37 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
1116 | 2025-05-29 10:37:10 | hash | 2 | 29872 | 246 | 3.940 | 7581.7 |
1115 | 2025-05-28 05:20:24 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
1114 | 2025-05-28 04:21:00 | hash | 1 | 13983 | 21 | 0.593 | 23580.1 |
1113 | 2025-05-26 17:18:46 | hash | 1 | 13983 | 21 | 0.670 | 20870.1 |
1112 | 2025-05-25 09:44:37 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
1111 | 2025-05-16 09:42:46 | hash | 1 | 13983 | 21 | 0.296 | 47239.9 |
1110 | 2025-05-11 21:30:12 | hash | 1 | 13983 | 21 | 1.390 | 10059.7 |
1109 | 2025-05-10 14:35:47 | hash | 1 | 13983 | 21 | 0.686 | 20383.4 |
1108 | 2025-05-09 10:22:08 | hash | 1 | 13983 | 21 | 0.220 | 63559.1 |
1107 | 2025-05-09 07:30:36 | hash | 1 | 13983 | 21 | 0.216 | 64736.1 |
1106 | 2025-05-07 22:16:03 | hash | 1 | 13983 | 21 | 1.343 | 10411.8 |
1105 | 2025-05-05 10:58:38 | hash | 2 | 29872 | 246 | 0.860 | 34734.9 |
1104 | 2025-05-05 02:21:54 | hash | 1 | 13983 | 21 | 0.280 | 49939.3 |
1103 | 2025-05-04 23:48:10 | hash | 1 | 13983 | 21 | 0.263 | 53167.3 |
1102 | 2025-05-04 15:06:40 | hash | 2 | 29872 | 246 | 4.376 | 6826.3 |
1101 | 2025-05-01 06:48:14 | hash | 1 | 13983 | 21 | 0.266 | 52567.7 |
1100 | 2025-04-30 16:43:54 | hash | 1 | 13983 | 21 | 0.296 | 47239.9 |
1099 | 2025-04-29 11:15:08 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
1098 | 2025-04-28 12:44:25 | hash | 1 | 13983 | 21 | 1.253 | 11159.6 |
1097 | 2025-04-28 04:08:11 | hash | 1 | 13983 | 21 | 0.703 | 19890.5 |
1096 | 2025-04-17 22:22:23 | hash | 2 | 29872 | 246 | 3.096 | 9648.6 |
1095 | 2025-04-16 05:39:11 | hash | 2 | 29872 | 246 | 4.220 | 7078.7 |
1094 | 2025-04-15 08:44:41 | hash | 1 | 13983 | 21 | 0.236 | 59250.0 |
1093 | 2025-04-14 09:37:27 | hash | 1 | 13983 | 21 | 0.593 | 23580.1 |
1092 | 2025-04-05 21:24:55 | hash | 1 | 13983 | 21 | 0.703 | 19890.5 |
1091 | 2025-03-31 09:07:37 | hash | 1 | 13983 | 21 | 1.626 | 8599.6 |
1090 | 2025-03-29 19:09:09 | hash | 1 | 13983 | 21 | 0.720 | 19420.8 |
1089 | 2025-03-21 07:15:01 | hash | 1 | 13983 | 21 | 0.780 | 17926.9 |
1088 | 2025-03-14 22:10:17 | hash | 1 | 13983 | 21 | 1.483 | 9428.9 |
1087 | 2025-03-06 14:02:06 | hash | 1 | 13983 | 21 | 1.373 | 10184.3 |
1086 | 2025-03-06 04:10:27 | hash | 1 | 13983 | 21 | 1.343 | 10411.8 |
1085 | 2025-03-03 22:27:30 | hash | 1 | 13983 | 21 | 1.063 | 13154.3 |
1084 | 2025-02-28 09:19:21 | hash | 1 | 13983 | 21 | 1.203 | 11623.4 |
1083 | 2025-02-28 09:07:39 | hash | 1 | 13983 | 21 | 0.266 | 52567.7 |
1082 | 2025-02-26 12:01:19 | hash | 1 | 13983 | 21 | 0.983 | 14224.8 |
1081 | 2025-02-26 09:05:38 | hash | 2 | 29872 | 246 | 1.890 | 15805.3 |
1080 | 2025-02-26 07:50:34 | hash | 1 | 13983 | 21 | 1.190 | 11750.4 |
1079 | 2025-02-26 04:37:19 | hash | 2 | 29872 | 246 | 3.250 | 9191.4 |
1078 | 2025-02-26 01:30:38 | hash | 2 | 29872 | 246 | 4.206 | 7102.2 |
1077 | 2025-02-25 23:43:14 | hash | 2 | 29872 | 246 | 6.450 | 4631.3 |
1076 | 2025-02-25 23:28:27 | hash | 1 | 13983 | 21 | 0.716 | 19529.3 |
1075 | 2025-02-24 17:59:21 | hash | 2 | 29872 | 246 | 4.813 | 6206.5 |
1074 | 2025-02-23 18:27:13 | hash | 1 | 13983 | 21 | 1.563 | 8946.3 |
1073 | 2025-02-18 23:55:29 | hash | 1 | 13983 | 21 | 0.686 | 20383.4 |
1072 | 2025-02-15 20:03:42 | hash | 1 | 13983 | 21 | 0.720 | 19420.8 |
1071 | 2025-02-15 19:50:29 | hash | 1 | 13983 | 21 | 0.720 | 19420.8 |
1070 | 2025-02-04 13:59:57 | hash | 2 | 29872 | 246 | 4.216 | 7085.4 |
1069 | 2025-02-04 13:37:49 | hash | 1 | 13983 | 21 | 0.423 | 33056.7 |
1068 | 2025-01-26 18:52:08 | hash | 2 | 29872 | 246 | 0.860 | 34734.9 |
1067 | 2025-01-26 12:41:46 | hash | 1 | 13983 | 21 | 0.893 | 15658.5 |
1066 | 2025-01-26 12:40:23 | hash | 2 | 29872 | 246 | 4.096 | 7293.0 |
1065 | 2025-01-26 12:14:37 | hash | 2 | 29872 | 246 | 4.610 | 6479.8 |
1064 | 2025-01-26 11:46:47 | hash | 1 | 13983 | 21 | 0.220 | 63559.1 |
1063 | 2025-01-17 06:01:13 | hash | 1 | 13983 | 21 | 1.173 | 11920.7 |
1062 | 2025-01-15 03:31:41 | hash | 1 | 13983 | 21 | 1.390 | 10059.7 |
1061 | 2025-01-05 13:23:29 | hash | 1 | 13983 | 21 | 1.173 | 11920.7 |
1060 | 2024-12-27 10:01:56 | hash | 2 | 29872 | 246 | 3.453 | 8651.0 |
1059 | 2024-12-27 09:16:37 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
1058 | 2024-12-27 07:33:14 | hash | 2 | 29872 | 246 | 2.186 | 13665.1 |
1057 | 2024-12-27 07:25:56 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
1056 | 2024-12-25 09:37:43 | hash | 1 | 13983 | 21 | 0.266 | 52567.7 |
1055 | 2024-12-06 12:47:01 | hash | 1 | 13983 | 21 | 0.440 | 31779.5 |
1054 | 2024-11-27 07:43:52 | hash | 2 | 29872 | 246 | 4.033 | 7406.9 |
1053 | 2024-11-27 04:31:10 | hash | 2 | 29872 | 246 | 3.080 | 9698.7 |
1052 | 2024-11-27 04:03:59 | hash | 2 | 29872 | 246 | 7.216 | 4139.7 |
1051 | 2024-11-27 03:22:27 | hash | 1 | 13983 | 21 | 1.016 | 13762.8 |
1050 | 2024-11-27 03:08:05 | hash | 1 | 13983 | 21 | 0.266 | 52567.7 |
1049 | 2024-11-24 02:54:45 | hash | 1 | 13983 | 21 | 1.420 | 9847.2 |
1048 | 2024-11-19 17:27:28 | hash | 1 | 13983 | 21 | 0.936 | 14939.1 |
1047 | 2024-11-06 09:21:01 | hash | 2 | 29872 | 246 | 4.360 | 6851.4 |
1046 | 2024-11-06 07:46:51 | hash | 1 | 13983 | 21 | 0.280 | 49939.3 |
1045 | 2024-10-28 03:53:57 | hash | 2 | 29872 | 246 | 4.843 | 6168.1 |
1044 | 2024-10-27 22:47:37 | hash | 2 | 29872 | 246 | 4.343 | 6878.2 |
1043 | 2024-10-27 20:43:51 | hash | 1 | 13983 | 21 | 0.873 | 16017.2 |
1042 | 2024-10-27 20:09:28 | hash | 1 | 13983 | 21 | 0.266 | 52567.7 |
1041 | 2024-10-26 03:40:05 | hash | 1 | 13983 | 21 | 0.716 | 19529.3 |
1040 | 2024-10-22 14:30:56 | hash | 1 | 13983 | 21 | 0.860 | 16259.3 |
1039 | 2024-10-18 11:48:19 | hash | 1 | 13983 | 21 | 1.096 | 12758.2 |
1038 | 2024-10-07 08:38:27 | hash | 1 | 13983 | 21 | 0.690 | 20265.2 |
1037 | 2024-09-27 21:20:57 | hash | 2 | 29872 | 246 | 3.063 | 9752.5 |
1036 | 2024-09-27 17:09:00 | hash | 2 | 29872 | 246 | 6.500 | 4595.7 |
1035 | 2024-09-27 16:17:10 | hash | 1 | 13983 | 21 | 0.263 | 53167.3 |
1034 | 2024-09-27 13:16:10 | hash | 1 | 13983 | 21 | 0.610 | 22923.0 |
1033 | 2024-09-26 00:30:38 | hash | 1 | 13983 | 21 | 1.593 | 8777.8 |
1032 | 2024-09-07 06:30:18 | hash | 1 | 13983 | 21 | 2.030 | 6888.2 |
1031 | 2024-09-03 22:43:46 | hash | 1 | 13983 | 21 | 0.266 | 52567.7 |
1030 | 2024-08-30 03:55:29 | hash | 1 | 13983 | 21 | 1.300 | 10756.2 |
1029 | 2024-08-28 09:51:12 | hash | 1 | 13983 | 21 | 0.250 | 55932.0 |
1028 | 2024-08-28 04:04:06 | hash | 2 | 29872 | 246 | 6.500 | 4595.7 |