History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"musts"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1145 | 2025-09-14 05:22:01 | musts | 1 | 28756 | 20 | 0.500 | 57512.0 |
1144 | 2025-09-10 05:31:22 | musts | 1 | 28756 | 20 | 0.470 | 61183.0 |
1143 | 2025-09-10 02:01:15 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
1142 | 2025-09-07 02:26:58 | musts | 1 | 28756 | 20 | 0.500 | 57512.0 |
1141 | 2025-09-04 13:14:03 | musts | 1 | 28756 | 20 | 0.513 | 56054.6 |
1140 | 2025-08-31 18:45:49 | musts | 1 | 28756 | 20 | 0.483 | 59536.2 |
1139 | 2025-08-27 11:14:07 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
1138 | 2025-08-27 10:23:21 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
1137 | 2025-08-27 09:33:20 | musts | 1 | 28756 | 20 | 0.466 | 61708.2 |
1136 | 2025-08-23 17:50:54 | musts | 1 | 28756 | 20 | 0.500 | 57512.0 |
1135 | 2025-08-19 11:26:21 | musts | 1 | 28756 | 20 | 1.360 | 21144.1 |
1134 | 2025-08-18 15:00:20 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
1133 | 2025-08-16 21:54:16 | musts | 1 | 28756 | 20 | 2.406 | 11951.8 |
1132 | 2025-08-16 10:01:09 | musts | 1 | 28756 | 20 | 0.453 | 63479.0 |
1131 | 2025-08-13 01:20:59 | musts | 1 | 28756 | 20 | 2.233 | 12877.7 |
1130 | 2025-08-11 02:22:25 | musts | 1 | 28756 | 20 | 2.140 | 13437.4 |
1129 | 2025-08-10 04:53:13 | musts | 1 | 28756 | 20 | 1.173 | 24514.9 |
1128 | 2025-08-09 06:17:10 | musts | 1 | 28756 | 20 | 2.830 | 10161.1 |
1127 | 2025-08-02 02:07:04 | musts | 1 | 28756 | 20 | 2.140 | 13437.4 |
1126 | 2025-08-01 18:21:00 | musts | 1 | 28756 | 20 | 3.703 | 7765.6 |
1125 | 2025-07-31 20:19:25 | musts | 1 | 28756 | 20 | 1.843 | 15602.8 |
1124 | 2025-07-31 17:15:14 | musts | 1 | 28756 | 20 | 3.780 | 7607.4 |
1123 | 2025-07-31 11:01:26 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
1122 | 2025-07-30 18:35:50 | musts | 1 | 28756 | 20 | 0.890 | 32310.1 |
1121 | 2025-07-30 16:52:00 | musts | 1 | 28756 | 20 | 2.703 | 10638.5 |
1120 | 2025-07-29 19:26:38 | musts | 1 | 28756 | 20 | 1.580 | 18200.0 |
1119 | 2025-07-29 14:50:21 | musts | 1 | 28756 | 20 | 2.220 | 12953.2 |
1118 | 2025-07-28 12:35:34 | musts | 1 | 28756 | 20 | 1.970 | 14597.0 |
1117 | 2025-07-27 12:14:57 | musts | 1 | 28756 | 20 | 1.750 | 16432.0 |
1116 | 2025-07-27 10:59:51 | musts | 1 | 28756 | 20 | 2.110 | 13628.4 |
1115 | 2025-07-26 10:54:58 | musts | 1 | 28756 | 20 | 1.000 | 28756.0 |
1114 | 2025-07-26 06:36:04 | musts | 1 | 28756 | 20 | 3.920 | 7335.7 |
1113 | 2025-07-25 15:51:01 | musts | 1 | 28756 | 20 | 2.093 | 13739.1 |
1112 | 2025-07-23 16:47:38 | musts | 1 | 28756 | 20 | 2.890 | 9950.2 |
1111 | 2025-07-22 11:11:53 | musts | 1 | 28756 | 20 | 3.446 | 8344.7 |
1110 | 2025-07-22 04:21:44 | musts | 1 | 28756 | 20 | 0.466 | 61708.2 |
1109 | 2025-07-21 13:53:30 | musts | 1 | 28756 | 20 | 1.360 | 21144.1 |
1108 | 2025-07-20 18:05:07 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
1107 | 2025-07-19 13:01:23 | musts | 1 | 28756 | 20 | 0.500 | 57512.0 |
1106 | 2025-07-19 06:30:18 | musts | 1 | 28756 | 20 | 0.703 | 40904.7 |
1105 | 2025-07-17 16:16:16 | musts | 1 | 28756 | 20 | 1.453 | 19790.8 |
1104 | 2025-07-17 10:17:44 | musts | 1 | 28756 | 20 | 1.546 | 18600.3 |
1103 | 2025-07-16 11:58:34 | musts | 1 | 28756 | 20 | 1.720 | 16718.6 |
1102 | 2025-07-09 05:09:52 | musts | 1 | 28756 | 20 | 0.516 | 55728.7 |
1101 | 2025-07-08 05:52:12 | musts | 1 | 28756 | 20 | 3.560 | 8077.5 |
1100 | 2025-07-05 23:55:48 | musts | 1 | 28756 | 20 | 0.483 | 59536.2 |
1099 | 2025-07-04 08:13:49 | musts | 1 | 28756 | 20 | 3.626 | 7930.5 |
1098 | 2025-07-02 10:56:13 | musts | 1 | 28756 | 20 | 1.173 | 24514.9 |
1097 | 2025-07-02 01:29:26 | musts | 1 | 28756 | 20 | 1.720 | 16718.6 |
1096 | 2025-06-30 11:50:15 | musts | 1 | 28756 | 20 | 2.080 | 13825.0 |
1095 | 2025-06-26 21:41:14 | musts | 1 | 28756 | 20 | 0.953 | 30174.2 |
1094 | 2025-06-24 20:40:24 | musts | 1 | 28756 | 20 | 0.436 | 65954.1 |
1093 | 2025-06-22 21:29:37 | musts | 1 | 28756 | 20 | 0.486 | 59168.7 |
1092 | 2025-06-18 11:38:09 | musts | 1 | 28756 | 20 | 2.310 | 12448.5 |
1091 | 2025-06-12 09:19:36 | musts | 2 | 53800 | 216 | 6.406 | 8398.4 |
1090 | 2025-06-11 08:05:17 | musts | 2 | 53800 | 216 | 4.076 | 13199.2 |
1089 | 2025-06-08 05:38:19 | musts | 1 | 28756 | 20 | 1.420 | 20250.7 |
1088 | 2025-06-05 09:01:46 | musts | 2 | 53800 | 216 | 6.546 | 8218.8 |
1087 | 2025-06-03 22:07:11 | musts | 1 | 28756 | 20 | 3.123 | 9207.8 |
1086 | 2025-06-02 07:27:52 | musts | 2 | 53800 | 216 | 8.516 | 6317.5 |
1085 | 2025-06-01 09:25:02 | musts | 1 | 28756 | 20 | 1.326 | 21686.3 |
1084 | 2025-05-31 12:44:33 | musts | 1 | 28756 | 20 | 3.516 | 8178.6 |
1083 | 2025-05-30 12:29:50 | musts | 1 | 28756 | 20 | 1.626 | 17685.1 |
1082 | 2025-05-28 13:52:36 | musts | 1 | 28756 | 20 | 0.453 | 63479.0 |
1081 | 2025-05-28 10:17:38 | musts | 1 | 28756 | 20 | 0.500 | 57512.0 |
1080 | 2025-05-27 10:42:38 | musts | 1 | 28756 | 20 | 2.153 | 13356.2 |
1079 | 2025-05-27 07:58:53 | musts | 1 | 28756 | 20 | 2.453 | 11722.8 |
1078 | 2025-05-27 01:44:26 | musts | 1 | 28756 | 20 | 1.936 | 14853.3 |
1077 | 2025-05-24 00:04:02 | musts | 1 | 28756 | 20 | 2.063 | 13938.9 |
1076 | 2025-05-20 11:27:00 | musts | 2 | 53800 | 216 | 11.610 | 4633.9 |
1075 | 2025-05-18 17:05:13 | musts | 2 | 53800 | 216 | 3.813 | 14109.6 |
1074 | 2025-05-18 12:31:11 | musts | 1 | 28756 | 20 | 2.360 | 12184.7 |
1073 | 2025-05-17 06:18:10 | musts | 2 | 53800 | 216 | 4.530 | 11876.4 |
1072 | 2025-05-11 00:29:48 | musts | 1 | 28756 | 20 | 2.343 | 12273.2 |
1071 | 2025-05-09 05:44:58 | musts | 1 | 28756 | 20 | 1.016 | 28303.1 |
1070 | 2025-05-08 10:07:23 | musts | 1 | 28756 | 20 | 2.736 | 10510.2 |
1069 | 2025-05-08 05:41:06 | musts | 1 | 28756 | 20 | 1.016 | 28303.1 |
1068 | 2025-05-07 21:27:37 | musts | 1 | 28756 | 20 | 3.563 | 8070.7 |
1067 | 2025-05-07 05:25:38 | musts | 1 | 28756 | 20 | 0.486 | 59168.7 |
1066 | 2025-05-04 15:49:42 | musts | 1 | 28756 | 20 | 1.343 | 21411.8 |
1065 | 2025-05-04 00:15:46 | musts | 1 | 28756 | 20 | 2.033 | 14144.6 |
1064 | 2025-05-01 22:13:27 | musts | 1 | 28756 | 20 | 2.283 | 12595.7 |
1063 | 2025-04-30 04:01:27 | musts | 2 | 53800 | 216 | 4.593 | 11713.5 |
1062 | 2025-04-29 07:37:42 | musts | 1 | 28756 | 20 | 2.263 | 12707.0 |
1061 | 2025-04-29 00:09:27 | musts | 1 | 28756 | 20 | 0.966 | 29768.1 |
1060 | 2025-04-28 07:19:37 | musts | 2 | 53800 | 216 | 7.953 | 6764.7 |
1059 | 2025-04-27 08:57:37 | musts | 1 | 28756 | 20 | 0.500 | 57512.0 |
1058 | 2025-04-18 09:45:25 | musts | 1 | 28756 | 20 | 3.530 | 8146.2 |
1057 | 2025-04-15 11:38:58 | musts | 1 | 28756 | 20 | 0.486 | 59168.7 |
1056 | 2025-04-08 04:53:21 | musts | 1 | 28756 | 20 | 0.456 | 63061.4 |
1055 | 2025-04-07 23:36:07 | musts | 1 | 28756 | 20 | 2.330 | 12341.6 |
1054 | 2025-04-07 10:50:25 | musts | 1 | 28756 | 20 | 1.610 | 17860.9 |
1053 | 2025-03-30 23:08:44 | musts | 1 | 28756 | 20 | 2.126 | 13525.9 |
1052 | 2025-03-29 11:29:42 | musts | 1 | 28756 | 20 | 2.453 | 11722.8 |
1051 | 2025-03-29 05:45:09 | musts | 1 | 28756 | 20 | 0.983 | 29253.3 |
1050 | 2025-03-29 01:10:43 | musts | 1 | 28756 | 20 | 1.423 | 20208.0 |
1049 | 2025-03-16 12:06:00 | musts | 2 | 53800 | 216 | 6.563 | 8197.5 |
1048 | 2025-03-15 00:24:47 | musts | 1 | 28756 | 20 | 5.920 | 4857.4 |
1047 | 2025-03-14 18:38:00 | musts | 1 | 28756 | 20 | 1.920 | 14977.1 |
1046 | 2025-03-13 11:54:25 | musts | 1 | 28756 | 20 | 3.140 | 9158.0 |