History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"wagonettes"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
181 | 2024-04-11 13:35:49 | wagonettes | 1 | 67641 | 2 | 2.390 | 28301.7 |
180 | 2024-04-10 03:16:25 | wagonettes | 1 | 67641 | 2 | 1.530 | 44209.8 |
179 | 2024-04-08 03:52:08 | wagonettes | 1 | 67641 | 2 | 1.110 | 60937.8 |
178 | 2024-04-03 17:42:46 | wagonettes | 4 | 161450 | 125 | 14.093 | 11456.0 |
177 | 2024-04-03 00:16:10 | wagonettes | 2 | 108824 | 2 | 7.483 | 14542.8 |
176 | 2024-04-03 00:11:56 | wagonettes | 3 | 140603 | 16 | 10.753 | 13075.7 |
175 | 2024-04-03 00:09:56 | wagonettes | 4 | 161450 | 125 | 34.440 | 4687.9 |
174 | 2024-04-01 16:21:21 | wagonettes | 4 | 161450 | 125 | 19.110 | 8448.5 |
173 | 2024-04-01 16:21:15 | wagonettes | 2 | 108824 | 2 | 10.690 | 10180.0 |
172 | 2024-04-01 16:15:29 | wagonettes | 1 | 67641 | 2 | 2.673 | 25305.3 |
171 | 2024-04-01 14:07:46 | wagonettes | 4 | 161450 | 125 | 14.750 | 10945.8 |
170 | 2024-04-01 14:07:49 | wagonettes | 2 | 108824 | 2 | 5.483 | 19847.5 |
169 | 2024-04-01 14:07:39 | wagonettes | 3 | 140603 | 16 | 11.546 | 12177.6 |
168 | 2024-04-01 14:03:45 | wagonettes | 1 | 67641 | 2 | 1.233 | 54858.9 |
167 | 2024-03-29 20:52:16 | wagonettes | 1 | 67641 | 2 | 2.390 | 28301.7 |
166 | 2024-03-16 17:10:22 | wagonettes | 3 | 140603 | 16 | 7.673 | 18324.4 |
165 | 2024-03-10 23:52:40 | wagonettes | 1 | 67641 | 2 | 1.200 | 56367.5 |
164 | 2024-03-07 20:03:01 | wagonettes | 1 | 67641 | 2 | 2.423 | 27916.2 |
163 | 2024-03-01 02:22:16 | wagonettes | 1 | 67641 | 2 | 1.030 | 65670.9 |
162 | 2024-02-20 06:06:51 | wagonettes | 1 | 67641 | 2 | 1.203 | 56226.9 |
161 | 2024-02-04 00:29:51 | wagonettes | 1 | 67641 | 2 | 1.140 | 59334.2 |
160 | 2024-02-02 07:12:43 | wagonettes | 1 | 67641 | 2 | 1.093 | 61885.6 |
159 | 2024-01-30 05:47:07 | wagonettes | 1 | 67641 | 2 | 1.080 | 62630.6 |
158 | 2024-01-27 10:04:36 | wagonettes | 4 | 161450 | 125 | 14.816 | 10897.0 |
157 | 2024-01-16 08:44:17 | wagonettes | 1 | 67641 | 2 | 0.983 | 68810.8 |
156 | 2023-12-16 01:25:48 | wagonettes | 1 | 67641 | 2 | 1.190 | 56841.2 |
155 | 2023-12-04 09:16:02 | wagonettes | 1 | 67641 | 2 | 0.970 | 69733.0 |
154 | 2023-12-02 09:14:25 | wagonettes | 1 | 67641 | 2 | 1.033 | 65480.2 |
153 | 2023-12-01 15:10:55 | wagonettes | 3 | 140603 | 16 | 5.516 | 25490.0 |
152 | 2023-11-12 00:38:51 | wagonettes | 4 | 161450 | 125 | 18.423 | 8763.5 |
151 | 2023-11-10 05:19:33 | wagonettes | 4 | 161450 | 125 | 13.546 | 11918.6 |
150 | 2023-11-06 07:18:17 | wagonettes | 4 | 161450 | 125 | 10.546 | 15309.1 |
149 | 2023-10-22 17:39:59 | wagonettes | 1 | 67641 | 2 | 2.096 | 32271.5 |
148 | 2023-10-05 02:35:14 | wagonettes | 1 | 67641 | 2 | 1.123 | 60232.4 |
147 | 2023-08-30 21:58:21 | wagonettes | 3 | 140603 | 16 | 5.156 | 27269.8 |
146 | 2023-08-11 11:41:12 | wagonettes | 4 | 161450 | 125 | 9.236 | 17480.5 |
145 | 2023-06-05 00:27:26 | wagonettes | 1 | 67641 | 2 | 1.063 | 63632.2 |
144 | 2023-05-17 13:55:13 | wagonettes | 3 | 140603 | 16 | 5.826 | 24133.7 |
143 | 2023-04-24 14:52:08 | wagonettes | 4 | 161450 | 125 | 9.860 | 16374.2 |
142 | 2023-03-04 23:33:23 | wagonettes | 1 | 67641 | 2 | 2.140 | 31607.9 |
141 | 2023-02-26 07:34:32 | wagonettes | 1 | 67641 | 2 | 0.970 | 69733.0 |
140 | 2023-02-25 01:37:23 | wagonettes | 3 | 140603 | 16 | 6.076 | 23140.7 |
139 | 2023-01-31 00:34:53 | wagonettes | 4 | 161450 | 125 | 9.096 | 17749.6 |
138 | 2023-01-23 01:26:39 | wagonettes | 1 | 67641 | 2 | 0.970 | 69733.0 |
137 | 2022-12-07 13:48:28 | wagonettes | 3 | 140603 | 16 | 5.936 | 23686.5 |
136 | 2022-11-09 20:04:39 | wagonettes | 4 | 161450 | 125 | 9.623 | 16777.5 |
135 | 2022-08-27 13:16:14 | wagonettes | 1 | 67641 | 2 | 0.966 | 70021.7 |
134 | 2022-08-27 12:00:42 | wagonettes | 1 | 67641 | 2 | 1.003 | 67438.7 |
133 | 2022-07-20 21:42:48 | wagonettes | 3 | 140603 | 16 | 5.733 | 24525.2 |
132 | 2022-06-12 18:08:54 | wagonettes | 4 | 161450 | 125 | 9.423 | 17133.6 |
131 | 2022-05-16 04:59:06 | wagonettes | 1 | 67641 | 2 | 2.220 | 30468.9 |
130 | 2022-04-29 19:12:55 | wagonettes | 1 | 67641 | 2 | 1.016 | 66575.8 |
129 | 2022-04-27 13:28:48 | wagonettes | 1 | 67641 | 2 | 1.233 | 54858.9 |
128 | 2022-03-23 06:21:11 | wagonettes | 1 | 67641 | 2 | 1.156 | 58513.0 |
127 | 2021-11-09 03:55:10 | wagonettes | 1 | 67641 | 2 | 1.076 | 62863.4 |
126 | 2021-07-23 12:13:43 | wagonettes | 1 | 67641 | 2 | 0.953 | 70976.9 |
125 | 2021-05-12 08:02:43 | wagonettes | 3 | 140603 | 16 | 6.170 | 22788.2 |
124 | 2021-04-11 12:09:34 | wagonettes | 4 | 161450 | 125 | 16.640 | 9702.5 |
123 | 2021-04-05 11:19:29 | wagonettes | 4 | 161450 | 125 | 12.860 | 12554.4 |
122 | 2021-04-05 11:19:28 | wagonettes | 3 | 140603 | 16 | 7.076 | 19870.4 |
121 | 2021-04-05 11:19:27 | wagonettes | 2 | 108824 | 2 | 4.143 | 26267.0 |
120 | 2021-04-05 10:54:43 | wagonettes | 1 | 67641 | 2 | 1.763 | 38367.0 |
119 | 2021-04-02 00:48:37 | wagonettes | 1 | 67641 | 2 | 1.080 | 62630.6 |
118 | 2021-02-19 05:18:59 | wagonettes | 1 | 67641 | 2 | 1.140 | 59334.2 |
117 | 2021-02-18 14:23:57 | wagonettes | 4 | 161450 | 125 | 9.610 | 16800.2 |
116 | 2021-02-18 06:42:26 | wagonettes | 3 | 140603 | 16 | 5.310 | 26478.9 |
115 | 2021-02-10 15:27:50 | wagonettes | 1 | 67641 | 2 | 1.000 | 67641.0 |
114 | 2020-11-22 10:21:06 | wagonettes | 1 | 67641 | 2 | 1.110 | 60937.8 |
113 | 2020-11-06 18:12:19 | wagonettes | 1 | 67641 | 2 | 1.046 | 64666.3 |
112 | 2020-10-17 11:16:53 | wagonettes | 1 | 67641 | 2 | 1.110 | 60937.8 |
111 | 2020-10-03 05:43:22 | wagonettes | 1 | 67641 | 2 | 2.000 | 33820.5 |
110 | 2020-08-30 09:04:30 | wagonettes | 1 | 67641 | 2 | 1.030 | 65670.9 |
109 | 2020-04-05 08:46:47 | wagonettes | 1 | 67641 | 2 | 1.000 | 67641.0 |
108 | 2020-03-25 19:11:59 | wagonettes | 1 | 67641 | 2 | 1.140 | 59334.2 |
107 | 2020-03-05 11:24:47 | wagonettes | 1 | 67641 | 2 | 1.140 | 59334.2 |
106 | 2020-02-06 12:01:19 | wagonettes | 1 | 67641 | 2 | 1.203 | 56226.9 |
105 | 2020-02-06 07:52:06 | wagonettes | 1 | 67641 | 2 | 1.203 | 56226.9 |
104 | 2020-02-03 01:26:41 | wagonettes | 1 | 67641 | 2 | 1.173 | 57665.0 |
103 | 2020-01-31 10:46:16 | wagonettes | 1 | 67641 | 2 | 1.156 | 58513.0 |
102 | 2020-01-29 20:24:31 | wagonettes | 1 | 67641 | 2 | 1.140 | 59334.2 |
101 | 2020-01-19 17:38:32 | wagonettes | 4 | 161450 | 125 | 11.296 | 14292.7 |
100 | 2020-01-19 15:50:40 | wagonettes | 4 | 161450 | 125 | 21.766 | 7417.5 |
99 | 2020-01-19 06:09:18 | wagonettes | 4 | 161450 | 125 | 18.923 | 8531.9 |
98 | 2020-01-19 06:09:23 | wagonettes | 2 | 108824 | 2 | 4.343 | 25057.3 |
97 | 2020-01-19 06:08:47 | wagonettes | 3 | 140603 | 16 | 18.656 | 7536.6 |
96 | 2020-01-19 01:20:03 | wagonettes | 1 | 67641 | 2 | 1.376 | 49157.7 |
95 | 2020-01-13 14:39:12 | wagonettes | 1 | 67641 | 2 | 1.436 | 47103.8 |
94 | 2020-01-04 23:56:14 | wagonettes | 1 | 67641 | 2 | 2.500 | 27056.4 |
93 | 2019-12-30 20:14:17 | wagonettes | 1 | 67641 | 2 | 1.216 | 55625.8 |
92 | 2019-12-26 08:43:23 | wagonettes | 1 | 67641 | 2 | 1.686 | 40119.2 |
91 | 2019-12-19 09:45:45 | wagonettes | 1 | 67641 | 2 | 0.986 | 68601.4 |
90 | 2019-09-18 03:15:07 | wagonettes | 1 | 67641 | 2 | 0.956 | 70754.2 |
89 | 2019-06-06 03:04:16 | wagonettes | 1 | 67641 | 2 | 1.053 | 64236.5 |
88 | 2019-02-09 02:38:08 | wagonettes | 1 | 67641 | 2 | 1.083 | 62457.1 |
87 | 2019-02-05 22:39:55 | wagonettes | 1 | 67641 | 2 | 1.123 | 60232.4 |
86 | 2019-01-07 15:33:54 | wagonettes | 1 | 67641 | 2 | 0.983 | 68810.8 |
85 | 2018-09-30 06:03:09 | wagonettes | 1 | 67641 | 2 | 1.263 | 53555.8 |
84 | 2018-07-05 11:55:24 | wagonettes | 1 | 67641 | 2 | 1.156 | 58513.0 |
83 | 2018-06-23 13:53:56 | wagonettes | 1 | 67641 | 2 | 1.040 | 65039.4 |
82 | 2018-06-23 08:38:03 | wagonettes | 1 | 67641 | 2 | 1.086 | 62284.5 |