History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"nontarget"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
247 | 2024-04-02 10:06:33 | nontarget | 4 | 165329 | 209 | 26.733 | 6184.5 |
246 | 2024-04-01 17:22:44 | nontarget | 4 | 165329 | 209 | 24.440 | 6764.7 |
245 | 2024-03-28 16:46:02 | nontarget | 4 | 165329 | 209 | 29.813 | 5545.5 |
244 | 2024-03-28 16:08:29 | nontarget | 1 | 81242 | 1 | 1.373 | 59171.2 |
243 | 2024-03-27 18:54:01 | nontarget | 3 | 148641 | 22 | 8.750 | 16987.5 |
242 | 2024-03-27 18:52:25 | nontarget | 2 | 121436 | 2 | 4.110 | 29546.5 |
241 | 2024-03-27 18:44:25 | nontarget | 1 | 81242 | 1 | 1.373 | 59171.2 |
240 | 2024-03-27 17:16:46 | nontarget | 4 | 165329 | 209 | 31.143 | 5308.7 |
239 | 2024-03-27 17:16:52 | nontarget | 3 | 148641 | 22 | 16.656 | 8924.2 |
238 | 2024-03-27 17:16:47 | nontarget | 2 | 121436 | 2 | 8.720 | 13926.1 |
237 | 2024-03-27 17:14:09 | nontarget | 1 | 81242 | 1 | 1.466 | 55417.5 |
236 | 2024-03-27 17:12:40 | nontarget | 3 | 148641 | 22 | 8.313 | 17880.5 |
235 | 2024-03-27 17:12:32 | nontarget | 4 | 165329 | 209 | 14.190 | 11651.1 |
234 | 2024-03-27 17:12:36 | nontarget | 2 | 121436 | 2 | 5.283 | 22986.2 |
233 | 2024-03-27 17:09:33 | nontarget | 1 | 81242 | 1 | 1.390 | 58447.5 |
232 | 2024-03-27 17:09:32 | nontarget | 1 | 81242 | 1 | 1.343 | 60492.9 |
231 | 2024-02-27 07:58:14 | nontarget | 1 | 81242 | 1 | 3.016 | 26937.0 |
230 | 2024-02-27 07:57:51 | nontarget | 3 | 148641 | 22 | 8.263 | 17988.7 |
229 | 2024-02-27 07:57:50 | nontarget | 2 | 121436 | 2 | 5.720 | 21230.1 |
228 | 2024-02-27 06:23:32 | nontarget | 4 | 165329 | 209 | 15.890 | 10404.6 |
227 | 2024-02-26 10:39:52 | nontarget | 1 | 81242 | 1 | 1.500 | 54161.3 |
226 | 2024-02-22 02:31:14 | nontarget | 4 | 165329 | 209 | 25.436 | 6499.8 |
225 | 2024-02-22 02:31:14 | nontarget | 3 | 148641 | 22 | 10.373 | 14329.6 |
224 | 2024-02-22 02:31:14 | nontarget | 2 | 121436 | 2 | 8.376 | 14498.1 |
223 | 2024-02-21 12:22:35 | nontarget | 4 | 165329 | 209 | 28.266 | 5849.0 |
222 | 2024-02-21 12:22:34 | nontarget | 3 | 148641 | 22 | 16.186 | 9183.3 |
221 | 2024-02-21 12:22:33 | nontarget | 2 | 121436 | 2 | 9.140 | 13286.2 |
220 | 2024-02-21 03:52:55 | nontarget | 1 | 81242 | 1 | 3.266 | 24875.1 |
219 | 2024-02-19 02:55:22 | nontarget | 1 | 81242 | 1 | 3.610 | 22504.7 |
218 | 2024-01-20 10:23:22 | nontarget | 1 | 81242 | 1 | 1.216 | 66810.9 |
217 | 2024-01-15 02:41:45 | nontarget | 1 | 81242 | 1 | 1.390 | 58447.5 |
216 | 2023-12-21 07:03:29 | nontarget | 1 | 81242 | 1 | 1.233 | 65889.7 |
215 | 2023-10-23 12:36:06 | nontarget | 1 | 81242 | 1 | 1.360 | 59736.8 |
214 | 2023-10-08 10:26:43 | nontarget | 1 | 81242 | 1 | 1.236 | 65729.8 |
213 | 2023-08-05 01:26:05 | nontarget | 1 | 81242 | 1 | 1.203 | 67532.8 |
212 | 2023-05-04 21:56:56 | nontarget | 1 | 81242 | 1 | 1.296 | 62686.7 |
211 | 2023-02-26 19:02:33 | nontarget | 1 | 81242 | 1 | 1.330 | 61084.2 |
210 | 2022-12-25 01:25:21 | nontarget | 1 | 81242 | 1 | 1.186 | 68500.8 |
209 | 2022-09-12 20:12:49 | nontarget | 1 | 81242 | 1 | 1.250 | 64993.6 |
208 | 2021-02-06 10:59:08 | nontarget | 1 | 81242 | 1 | 1.310 | 62016.8 |
207 | 2020-10-31 19:30:00 | nontarget | 1 | 81242 | 1 | 1.266 | 64172.2 |
206 | 2020-04-03 04:32:35 | nontarget | 1 | 81242 | 1 | 1.250 | 64993.6 |
205 | 2020-03-24 03:34:26 | nontarget | 1 | 81242 | 1 | 1.470 | 55266.7 |
204 | 2020-02-29 03:32:59 | nontarget | 1 | 81242 | 1 | 1.486 | 54671.6 |
203 | 2020-02-14 23:44:22 | nontarget | 1 | 81242 | 1 | 1.373 | 59171.2 |
202 | 2020-02-06 10:39:55 | nontarget | 1 | 81242 | 1 | 3.106 | 26156.5 |
201 | 2020-01-29 05:12:08 | nontarget | 1 | 81242 | 1 | 1.453 | 55913.3 |
200 | 2020-01-27 21:38:41 | nontarget | 1 | 81242 | 1 | 1.593 | 50999.4 |
199 | 2020-01-27 16:15:09 | nontarget | 1 | 81242 | 1 | 1.360 | 59736.8 |
198 | 2020-01-20 16:15:54 | nontarget | 1 | 81242 | 1 | 5.533 | 14683.2 |
197 | 2020-01-16 18:23:40 | nontarget | 1 | 81242 | 1 | 1.423 | 57092.1 |
196 | 2020-01-03 05:51:34 | nontarget | 1 | 81242 | 1 | 3.423 | 23734.2 |
195 | 2019-12-31 20:27:08 | nontarget | 1 | 81242 | 1 | 1.483 | 54782.2 |
194 | 2019-12-11 14:26:46 | nontarget | 1 | 81242 | 1 | 1.326 | 61268.5 |
193 | 2019-09-09 20:02:13 | nontarget | 1 | 81242 | 1 | 1.196 | 67928.1 |
192 | 2019-05-28 19:15:49 | nontarget | 1 | 81242 | 1 | 1.370 | 59300.7 |
191 | 2019-03-30 15:32:42 | nontarget | 1 | 81242 | 1 | 1.596 | 50903.5 |
190 | 2019-01-28 09:59:31 | nontarget | 1 | 81242 | 1 | 1.323 | 61407.4 |
189 | 2019-01-08 09:16:14 | nontarget | 1 | 81242 | 1 | 1.176 | 69083.3 |
188 | 2019-01-06 09:06:32 | nontarget | 1 | 81242 | 1 | 1.290 | 62978.3 |
187 | 2018-12-12 15:52:06 | nontarget | 1 | 81242 | 1 | 1.196 | 67928.1 |
186 | 2018-11-15 23:33:47 | nontarget | 1 | 81242 | 1 | 1.263 | 64324.6 |
185 | 2018-11-04 08:17:35 | nontarget | 1 | 81242 | 1 | 1.520 | 53448.7 |
184 | 2018-11-02 09:29:10 | nontarget | 1 | 81242 | 1 | 1.210 | 67142.1 |
183 | 2018-10-02 04:36:56 | nontarget | 1 | 81242 | 1 | 1.390 | 58447.5 |
182 | 2018-09-22 08:24:06 | nontarget | 1 | 81242 | 1 | 1.490 | 54524.8 |
181 | 2018-07-26 12:34:58 | nontarget | 1 | 81242 | 1 | 1.206 | 67364.8 |
180 | 2018-06-20 20:10:02 | nontarget | 1 | 81242 | 1 | 1.476 | 55042.0 |
179 | 2018-06-19 04:36:58 | nontarget | 1 | 81242 | 1 | 1.306 | 62206.7 |
178 | 2018-05-19 08:47:59 | nontarget | 1 | 81242 | 1 | 1.236 | 65729.8 |
177 | 2018-05-18 04:59:37 | nontarget | 1 | 81242 | 1 | 1.316 | 61734.0 |
176 | 2018-05-06 12:32:53 | nontarget | 1 | 81242 | 1 | 1.313 | 61875.1 |
175 | 2018-04-20 12:32:12 | nontarget | 1 | 81242 | 1 | 1.200 | 67701.7 |
174 | 2018-04-16 04:04:52 | nontarget | 1 | 81242 | 1 | 1.370 | 59300.7 |
173 | 2018-01-03 19:52:52 | nontarget | 1 | 81242 | 1 | 1.926 | 42181.7 |
172 | 2018-01-02 08:46:22 | nontarget | 1 | 81242 | 1 | 1.730 | 46960.7 |
171 | 2017-11-06 04:52:20 | nontarget | 1 | 81242 | 1 | 1.780 | 45641.6 |
170 | 2017-10-28 08:34:05 | nontarget | 1 | 81242 | 1 | 1.983 | 40969.2 |
169 | 2017-10-27 07:51:06 | nontarget | 1 | 81242 | 1 | 1.860 | 43678.5 |
168 | 2017-10-09 06:57:38 | nontarget | 1 | 81242 | 1 | 1.833 | 44321.9 |
167 | 2017-10-04 18:46:48 | nontarget | 1 | 81242 | 1 | 2.080 | 39058.7 |
166 | 2017-08-12 06:12:41 | nontarget | 1 | 81242 | 1 | 1.676 | 48473.7 |
165 | 2017-08-10 16:52:00 | nontarget | 1 | 81242 | 1 | 1.646 | 49357.2 |
164 | 2017-07-10 00:33:48 | nontarget | 1 | 81242 | 1 | 3.140 | 25873.2 |
163 | 2017-07-07 05:29:11 | nontarget | 1 | 81242 | 1 | 2.530 | 32111.5 |
162 | 2017-07-04 20:56:18 | nontarget | 1 | 81242 | 1 | 1.673 | 48560.7 |
161 | 2017-07-04 20:01:12 | nontarget | 1 | 81242 | 1 | 3.143 | 25848.6 |
160 | 2017-06-22 06:11:40 | nontarget | 1 | 81242 | 1 | 1.596 | 50903.5 |
159 | 2017-05-17 22:51:46 | nontarget | 1 | 81242 | 1 | 1.776 | 45744.4 |
158 | 2017-03-05 13:26:30 | nontarget | 1 | 81242 | 1 | 1.533 | 52995.4 |
157 | 2017-01-24 08:32:11 | nontarget | 1 | 81242 | 1 | 1.706 | 47621.3 |
156 | 2016-12-07 16:12:50 | nontarget | 1 | 81242 | 1 | 1.770 | 45899.4 |
155 | 2016-11-24 18:47:35 | nontarget | 1 | 81242 | 1 | 1.703 | 47705.2 |
154 | 2016-11-04 15:37:31 | nontarget | 1 | 81242 | 1 | 1.696 | 47902.1 |
153 | 2016-09-02 14:30:56 | nontarget | 1 | 81242 | 1 | 2.026 | 40099.7 |
152 | 2016-07-09 17:20:15 | nontarget | 1 | 81242 | 1 | 1.913 | 42468.4 |
151 | 2016-07-04 13:59:35 | nontarget | 1 | 81242 | 1 | 2.153 | 37734.3 |
150 | 2016-07-01 17:22:40 | nontarget | 1 | 81242 | 1 | 2.206 | 36827.7 |
149 | 2016-07-01 08:35:37 | nontarget | 3 | 148641 | 22 | 17.243 | 8620.4 |
148 | 2016-06-30 09:37:18 | nontarget | 4 | 165329 | 209 | 27.096 | 6101.6 |