History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"preadapt"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
201 | 2024-04-24 06:04:09 | preadapt | 1 | 82945 | 4 | 7.123 | 11644.7 |
200 | 2024-04-23 03:09:32 | preadapt | 1 | 82945 | 4 | 1.500 | 55296.7 |
199 | 2024-04-23 03:09:22 | preadapt | 2 | 121059 | 10 | 6.173 | 19611.0 |
198 | 2024-04-23 03:09:16 | preadapt | 1 | 82945 | 4 | 3.046 | 27230.8 |
197 | 2024-04-20 09:09:42 | preadapt | 1 | 82945 | 4 | 1.486 | 55817.6 |
196 | 2024-04-13 14:31:16 | preadapt | 2 | 121059 | 10 | 3.940 | 30725.6 |
195 | 2024-04-11 05:35:18 | preadapt | 2 | 121059 | 10 | 3.940 | 30725.6 |
194 | 2024-04-10 04:08:24 | preadapt | 3 | 146162 | 54 | 9.576 | 15263.4 |
193 | 2024-04-10 04:08:25 | preadapt | 2 | 121059 | 10 | 4.936 | 24525.7 |
192 | 2024-04-10 04:08:20 | preadapt | 1 | 82945 | 4 | 2.046 | 40540.1 |
191 | 2024-04-08 06:12:40 | preadapt | 1 | 82945 | 4 | 1.640 | 50576.2 |
190 | 2024-04-03 10:56:12 | preadapt | 3 | 146162 | 54 | 25.360 | 5763.5 |
189 | 2024-04-01 00:40:03 | preadapt | 2 | 121059 | 10 | 15.783 | 7670.2 |
188 | 2024-04-01 00:40:06 | preadapt | 1 | 82945 | 4 | 3.343 | 24811.5 |
187 | 2024-04-01 00:36:23 | preadapt | 3 | 146162 | 54 | 8.703 | 16794.4 |
186 | 2024-03-28 21:55:56 | preadapt | 3 | 146162 | 54 | 18.046 | 8099.4 |
185 | 2024-03-26 20:58:09 | preadapt | 4 | 161609 | 443 | 21.940 | 7366.0 |
184 | 2024-03-26 06:09:42 | preadapt | 4 | 161609 | 443 | 13.346 | 12109.2 |
183 | 2024-03-25 02:28:53 | preadapt | 4 | 161609 | 443 | 13.860 | 11660.1 |
182 | 2024-03-24 16:50:25 | preadapt | 4 | 161609 | 443 | 13.516 | 11956.9 |
181 | 2024-03-23 17:02:48 | preadapt | 1 | 82945 | 4 | 3.016 | 27501.7 |
180 | 2024-03-23 17:02:33 | preadapt | 4 | 161609 | 443 | 14.423 | 11205.0 |
179 | 2024-03-23 17:02:36 | preadapt | 3 | 146162 | 54 | 8.453 | 17291.1 |
178 | 2024-03-23 17:02:36 | preadapt | 2 | 121059 | 10 | 4.030 | 30039.5 |
177 | 2024-03-23 17:02:34 | preadapt | 1 | 82945 | 4 | 1.530 | 54212.4 |
176 | 2024-03-07 17:40:17 | preadapt | 3 | 146162 | 54 | 13.220 | 11056.1 |
175 | 2024-03-05 18:13:01 | preadapt | 2 | 121059 | 10 | 11.220 | 10789.6 |
174 | 2024-03-05 18:12:56 | preadapt | 4 | 161609 | 443 | 16.050 | 10069.1 |
173 | 2024-03-05 17:14:14 | preadapt | 1 | 82945 | 4 | 2.750 | 30161.8 |
172 | 2024-03-01 22:20:01 | preadapt | 3 | 146162 | 54 | 8.530 | 17135.1 |
171 | 2024-02-26 15:59:33 | preadapt | 2 | 121059 | 10 | 5.013 | 24149.0 |
170 | 2024-02-26 10:42:49 | preadapt | 3 | 146162 | 54 | 7.593 | 19249.6 |
169 | 2024-02-22 13:09:21 | preadapt | 3 | 146162 | 54 | 38.893 | 3758.1 |
168 | 2024-02-22 13:09:19 | preadapt | 4 | 161609 | 443 | 26.753 | 6040.8 |
167 | 2024-02-22 13:09:25 | preadapt | 2 | 121059 | 10 | 7.110 | 17026.6 |
166 | 2024-02-22 03:36:39 | preadapt | 1 | 82945 | 4 | 5.093 | 16286.1 |
165 | 2024-02-18 07:15:43 | preadapt | 1 | 82945 | 4 | 10.953 | 7572.8 |
164 | 2024-02-17 23:28:38 | preadapt | 4 | 161609 | 443 | 15.016 | 10762.5 |
163 | 2024-02-17 21:18:07 | preadapt | 4 | 161609 | 443 | 33.533 | 4819.4 |
162 | 2024-02-11 18:07:34 | preadapt | 4 | 161609 | 443 | 17.093 | 9454.7 |
161 | 2024-02-10 19:52:26 | preadapt | 4 | 161609 | 443 | 11.906 | 13573.7 |
160 | 2024-01-31 19:07:52 | preadapt | 1 | 82945 | 4 | 1.593 | 52068.4 |
159 | 2024-01-22 03:14:21 | preadapt | 1 | 82945 | 4 | 1.263 | 65673.0 |
158 | 2024-01-20 07:59:01 | preadapt | 2 | 121059 | 10 | 3.330 | 36354.1 |
157 | 2024-01-08 09:33:07 | preadapt | 3 | 146162 | 54 | 6.546 | 22328.4 |
156 | 2024-01-01 19:49:25 | preadapt | 4 | 161609 | 443 | 12.626 | 12799.7 |
155 | 2024-01-01 17:08:25 | preadapt | 4 | 161609 | 443 | 14.063 | 11491.8 |
154 | 2023-12-31 22:20:39 | preadapt | 1 | 82945 | 4 | 1.483 | 55930.5 |
153 | 2023-12-27 02:22:21 | preadapt | 1 | 82945 | 4 | 1.436 | 57761.1 |
152 | 2023-12-17 21:44:12 | preadapt | 1 | 82945 | 4 | 1.516 | 54713.1 |
151 | 2023-12-14 15:48:17 | preadapt | 1 | 82945 | 4 | 1.296 | 64000.8 |
150 | 2023-11-26 15:15:23 | preadapt | 1 | 82945 | 4 | 1.313 | 63172.1 |
149 | 2023-11-14 07:21:16 | preadapt | 4 | 161609 | 443 | 12.156 | 13294.6 |
148 | 2023-10-30 18:16:19 | preadapt | 2 | 121059 | 10 | 3.623 | 33414.0 |
147 | 2023-10-19 17:34:19 | preadapt | 1 | 82945 | 4 | 1.483 | 55930.5 |
146 | 2023-10-16 10:36:25 | preadapt | 3 | 146162 | 54 | 6.516 | 22431.2 |
145 | 2023-09-04 05:33:35 | preadapt | 1 | 82945 | 4 | 1.453 | 57085.3 |
144 | 2023-08-31 23:49:30 | preadapt | 1 | 82945 | 4 | 1.283 | 64649.3 |
143 | 2023-08-16 14:59:51 | preadapt | 4 | 161609 | 443 | 10.970 | 14731.9 |
142 | 2023-08-14 18:47:11 | preadapt | 1 | 82945 | 4 | 1.310 | 63316.8 |
141 | 2023-08-07 10:45:02 | preadapt | 2 | 121059 | 10 | 3.250 | 37248.9 |
140 | 2023-07-26 19:59:22 | preadapt | 3 | 146162 | 54 | 7.326 | 19951.1 |
139 | 2023-05-13 23:17:05 | preadapt | 1 | 82945 | 4 | 1.266 | 65517.4 |
138 | 2023-05-02 17:24:23 | preadapt | 4 | 161609 | 443 | 10.813 | 14945.8 |
137 | 2023-04-30 11:33:35 | preadapt | 1 | 82945 | 4 | 1.296 | 64000.8 |
136 | 2023-04-17 08:21:13 | preadapt | 2 | 121059 | 10 | 3.220 | 37596.0 |
135 | 2023-04-04 11:48:04 | preadapt | 3 | 146162 | 54 | 6.330 | 23090.4 |
134 | 2023-02-09 14:45:19 | preadapt | 4 | 161609 | 443 | 12.846 | 12580.5 |
133 | 2023-02-07 16:44:41 | preadapt | 4 | 161609 | 443 | 10.763 | 15015.2 |
132 | 2023-01-22 17:40:32 | preadapt | 2 | 121059 | 10 | 3.220 | 37596.0 |
131 | 2023-01-01 10:50:49 | preadapt | 3 | 146162 | 54 | 11.330 | 12900.4 |
130 | 2022-12-29 15:21:22 | preadapt | 1 | 82945 | 4 | 1.470 | 56425.2 |
129 | 2022-12-26 19:53:19 | preadapt | 1 | 82945 | 4 | 1.283 | 64649.3 |
128 | 2022-12-25 20:29:31 | preadapt | 4 | 161609 | 443 | 12.233 | 13210.9 |
127 | 2022-12-22 04:43:07 | preadapt | 4 | 161609 | 443 | 12.343 | 13093.2 |
126 | 2022-12-14 05:50:07 | preadapt | 4 | 161609 | 443 | 12.596 | 12830.2 |
125 | 2022-11-19 17:19:44 | preadapt | 4 | 161609 | 443 | 11.530 | 14016.4 |
124 | 2022-11-05 07:35:10 | preadapt | 4 | 161609 | 443 | 12.393 | 13040.3 |
123 | 2022-11-05 05:19:50 | preadapt | 4 | 161609 | 443 | 11.186 | 14447.4 |
122 | 2022-11-03 18:29:19 | preadapt | 2 | 121059 | 10 | 3.343 | 36212.7 |
121 | 2022-09-21 13:24:08 | preadapt | 4 | 161609 | 443 | 10.796 | 14969.3 |
120 | 2022-09-19 16:17:37 | preadapt | 1 | 82945 | 4 | 1.563 | 53067.8 |
119 | 2022-09-01 19:29:32 | preadapt | 3 | 146162 | 54 | 7.233 | 20207.7 |
118 | 2022-08-19 09:44:04 | preadapt | 1 | 82945 | 4 | 1.436 | 57761.1 |
117 | 2022-06-23 06:26:31 | preadapt | 4 | 161609 | 443 | 10.830 | 14922.3 |
116 | 2022-06-05 07:10:18 | preadapt | 2 | 121059 | 10 | 3.300 | 36684.5 |
115 | 2022-04-28 22:35:10 | preadapt | 1 | 82945 | 4 | 1.390 | 59672.7 |
114 | 2022-03-29 02:38:51 | preadapt | 1 | 82945 | 4 | 1.313 | 63172.1 |
113 | 2022-02-08 14:15:08 | preadapt | 2 | 121059 | 10 | 3.313 | 36540.6 |
112 | 2022-01-18 01:11:39 | preadapt | 1 | 82945 | 4 | 1.513 | 54821.5 |
111 | 2022-01-15 20:38:04 | preadapt | 1 | 82945 | 4 | 1.440 | 57600.7 |
110 | 2021-11-24 22:13:00 | preadapt | 1 | 82945 | 4 | 1.530 | 54212.4 |
109 | 2021-11-11 16:43:30 | preadapt | 1 | 82945 | 4 | 1.546 | 53651.4 |
108 | 2021-10-09 20:40:11 | preadapt | 1 | 82945 | 4 | 1.436 | 57761.1 |
107 | 2021-09-19 16:12:44 | preadapt | 1 | 82945 | 4 | 1.313 | 63172.1 |
106 | 2021-09-19 00:43:57 | preadapt | 1 | 82945 | 4 | 1.310 | 63316.8 |
105 | 2021-09-11 20:09:27 | preadapt | 1 | 82945 | 4 | 1.283 | 64649.3 |
104 | 2021-08-08 13:34:14 | preadapt | 1 | 82945 | 4 | 1.326 | 62552.8 |
103 | 2021-04-23 09:39:43 | preadapt | 1 | 82945 | 4 | 1.453 | 57085.3 |
102 | 2021-03-27 23:07:51 | preadapt | 3 | 146162 | 54 | 7.033 | 20782.3 |