History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"shallowness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
268 | 2024-04-19 14:56:49 | shallowness | 1 | 49908 | 2 | 1.860 | 26832.3 |
267 | 2024-04-16 22:41:37 | shallowness | 2 | 86808 | 7 | 5.640 | 15391.5 |
266 | 2024-04-15 19:17:41 | shallowness | 5 | 164607 | 473 | 47.330 | 3477.9 |
265 | 2024-04-15 04:54:31 | shallowness | 5 | 164607 | 473 | 19.626 | 8387.2 |
264 | 2024-04-14 13:37:39 | shallowness | 5 | 164607 | 473 | 19.266 | 8543.9 |
263 | 2024-04-14 04:59:42 | shallowness | 5 | 164607 | 473 | 49.440 | 3329.4 |
262 | 2024-04-14 04:59:48 | shallowness | 2 | 86808 | 7 | 6.533 | 13287.6 |
261 | 2024-04-14 04:54:43 | shallowness | 1 | 49908 | 2 | 1.140 | 43778.9 |
260 | 2024-04-11 05:44:14 | shallowness | 1 | 49908 | 2 | 0.860 | 58032.6 |
259 | 2024-04-03 05:33:20 | shallowness | 1 | 49908 | 2 | 0.966 | 51664.6 |
258 | 2024-04-03 05:20:43 | shallowness | 4 | 148819 | 78 | 23.283 | 6391.7 |
257 | 2024-04-03 05:20:39 | shallowness | 3 | 121633 | 20 | 16.843 | 7221.6 |
256 | 2024-04-03 05:20:32 | shallowness | 2 | 86808 | 7 | 2.843 | 30533.9 |
255 | 2024-04-01 19:01:33 | shallowness | 4 | 148819 | 78 | 23.280 | 6392.6 |
254 | 2024-04-01 11:36:34 | shallowness | 4 | 148819 | 78 | 25.140 | 5919.6 |
253 | 2024-04-01 11:36:37 | shallowness | 2 | 86808 | 7 | 6.503 | 13348.9 |
252 | 2024-04-01 11:36:33 | shallowness | 3 | 121633 | 20 | 10.266 | 11848.1 |
251 | 2024-04-01 11:35:47 | shallowness | 1 | 49908 | 2 | 2.533 | 19703.1 |
250 | 2024-03-10 16:04:00 | shallowness | 5 | 164607 | 473 | 27.110 | 6071.8 |
249 | 2024-03-06 12:28:27 | shallowness | 1 | 49908 | 2 | 0.953 | 52369.4 |
248 | 2024-03-01 20:37:55 | shallowness | 5 | 164607 | 473 | 22.863 | 7199.7 |
247 | 2024-02-28 16:00:53 | shallowness | 1 | 49908 | 2 | 1.046 | 47713.2 |
246 | 2024-02-23 06:48:17 | shallowness | 5 | 164607 | 473 | 14.016 | 11744.2 |
245 | 2024-02-23 01:35:48 | shallowness | 2 | 86808 | 7 | 2.580 | 33646.5 |
244 | 2024-02-22 17:25:51 | shallowness | 4 | 148819 | 78 | 22.890 | 6501.5 |
243 | 2024-02-22 14:28:31 | shallowness | 3 | 121633 | 20 | 12.780 | 9517.4 |
242 | 2024-02-20 04:48:33 | shallowness | 3 | 121633 | 20 | 15.796 | 7700.2 |
241 | 2024-02-20 04:48:33 | shallowness | 2 | 86808 | 7 | 8.143 | 10660.4 |
240 | 2024-02-19 15:03:22 | shallowness | 1 | 49908 | 2 | 0.906 | 55086.1 |
239 | 2024-02-17 00:38:11 | shallowness | 3 | 121633 | 20 | 14.393 | 8450.8 |
238 | 2024-02-17 00:06:24 | shallowness | 4 | 148819 | 78 | 31.720 | 4691.6 |
237 | 2024-02-15 06:38:03 | shallowness | 4 | 148819 | 78 | 19.596 | 7594.4 |
236 | 2024-02-14 16:00:41 | shallowness | 4 | 148819 | 78 | 21.393 | 6956.4 |
235 | 2024-02-11 06:21:05 | shallowness | 4 | 148819 | 78 | 30.156 | 4935.0 |
234 | 2024-02-11 06:21:05 | shallowness | 3 | 121633 | 20 | 12.173 | 9992.0 |
233 | 2024-02-11 06:21:03 | shallowness | 2 | 86808 | 7 | 7.670 | 11317.9 |
232 | 2024-02-11 03:47:11 | shallowness | 1 | 49908 | 2 | 0.733 | 68087.3 |
231 | 2024-02-05 00:11:47 | shallowness | 1 | 49908 | 2 | 1.126 | 44323.3 |
230 | 2024-01-23 15:05:56 | shallowness | 5 | 164607 | 473 | 20.830 | 7902.4 |
229 | 2024-01-23 14:29:27 | shallowness | 5 | 164607 | 473 | 18.233 | 9028.0 |
228 | 2024-01-23 10:21:44 | shallowness | 5 | 164607 | 473 | 36.343 | 4529.3 |
227 | 2024-01-22 04:41:51 | shallowness | 1 | 49908 | 2 | 0.736 | 67809.8 |
226 | 2024-01-15 15:45:09 | shallowness | 1 | 49908 | 2 | 0.753 | 66278.9 |
225 | 2023-12-25 13:10:11 | shallowness | 5 | 164607 | 473 | 30.610 | 5377.6 |
224 | 2023-12-22 14:50:44 | shallowness | 5 | 164607 | 473 | 14.296 | 11514.2 |
223 | 2023-11-22 21:24:50 | shallowness | 5 | 164607 | 473 | 16.390 | 10043.1 |
222 | 2023-11-21 05:29:37 | shallowness | 1 | 49908 | 2 | 0.736 | 67809.8 |
221 | 2023-11-18 05:51:47 | shallowness | 5 | 164607 | 473 | 18.923 | 8698.8 |
220 | 2023-11-17 21:14:57 | shallowness | 1 | 49908 | 2 | 0.830 | 60130.1 |
219 | 2023-11-17 11:17:31 | shallowness | 1 | 49908 | 2 | 0.780 | 63984.6 |
218 | 2023-11-06 20:52:20 | shallowness | 5 | 164607 | 473 | 25.393 | 6482.4 |
217 | 2023-11-04 14:09:24 | shallowness | 1 | 49908 | 2 | 0.830 | 60130.1 |
216 | 2023-11-01 23:37:30 | shallowness | 5 | 164607 | 473 | 15.376 | 10705.5 |
215 | 2023-10-24 06:17:13 | shallowness | 5 | 164607 | 473 | 15.203 | 10827.3 |
214 | 2023-10-24 06:17:03 | shallowness | 5 | 164607 | 473 | 14.173 | 11614.1 |
213 | 2023-10-23 19:43:58 | shallowness | 1 | 49908 | 2 | 0.813 | 61387.5 |
212 | 2023-10-14 06:30:51 | shallowness | 5 | 164607 | 473 | 15.030 | 10951.9 |
211 | 2023-10-14 00:20:54 | shallowness | 1 | 49908 | 2 | 0.856 | 58303.7 |
210 | 2023-09-30 16:49:03 | shallowness | 5 | 164607 | 473 | 12.923 | 12737.5 |
209 | 2023-09-22 18:33:25 | shallowness | 5 | 164607 | 473 | 12.970 | 12691.4 |
208 | 2023-09-12 10:50:32 | shallowness | 1 | 49908 | 2 | 0.846 | 58992.9 |
207 | 2023-09-03 09:44:08 | shallowness | 1 | 49908 | 2 | 0.750 | 66544.0 |
206 | 2023-06-30 01:34:13 | shallowness | 5 | 164607 | 473 | 13.533 | 12163.4 |
205 | 2023-06-04 10:25:25 | shallowness | 1 | 49908 | 2 | 0.810 | 61614.8 |
204 | 2023-03-24 15:43:18 | shallowness | 5 | 164607 | 473 | 14.046 | 11719.1 |
203 | 2023-03-23 06:00:47 | shallowness | 5 | 164607 | 473 | 13.233 | 12439.1 |
202 | 2023-01-18 18:08:15 | shallowness | 1 | 49908 | 2 | 0.810 | 61614.8 |
201 | 2023-01-18 14:05:49 | shallowness | 1 | 49908 | 2 | 0.813 | 61387.5 |
200 | 2022-12-23 20:20:47 | shallowness | 5 | 164607 | 473 | 12.593 | 13071.3 |
199 | 2022-12-10 17:50:42 | shallowness | 5 | 164607 | 473 | 15.703 | 10482.5 |
198 | 2022-11-13 21:40:38 | shallowness | 1 | 49908 | 2 | 0.766 | 65154.0 |
197 | 2022-10-24 11:05:12 | shallowness | 5 | 164607 | 473 | 13.466 | 12223.9 |
196 | 2022-10-23 03:26:00 | shallowness | 5 | 164607 | 473 | 12.470 | 13200.2 |
195 | 2022-09-23 21:04:56 | shallowness | 5 | 164607 | 473 | 13.623 | 12083.0 |
194 | 2022-09-02 02:12:51 | shallowness | 5 | 164607 | 473 | 13.893 | 11848.2 |
193 | 2022-08-22 07:37:26 | shallowness | 5 | 164607 | 473 | 13.233 | 12439.1 |
192 | 2022-08-06 16:08:32 | shallowness | 1 | 49908 | 2 | 0.750 | 66544.0 |
191 | 2022-07-13 20:30:18 | shallowness | 2 | 86808 | 7 | 2.110 | 41141.2 |
190 | 2022-07-06 17:45:05 | shallowness | 1 | 49908 | 2 | 0.736 | 67809.8 |
189 | 2022-02-16 12:05:12 | shallowness | 1 | 49908 | 2 | 0.906 | 55086.1 |
188 | 2021-09-23 22:15:39 | shallowness | 1 | 49908 | 2 | 0.783 | 63739.5 |
187 | 2021-07-19 07:17:25 | shallowness | 1 | 49908 | 2 | 0.780 | 63984.6 |
186 | 2021-05-28 05:48:19 | shallowness | 1 | 49908 | 2 | 0.876 | 56972.6 |
185 | 2021-05-24 20:07:53 | shallowness | 1 | 49908 | 2 | 0.936 | 53320.5 |
184 | 2021-05-20 04:54:15 | shallowness | 5 | 164607 | 473 | 13.330 | 12348.6 |
183 | 2021-05-17 21:55:23 | shallowness | 5 | 164607 | 473 | 14.970 | 10995.8 |
182 | 2021-05-13 09:52:11 | shallowness | 5 | 164607 | 473 | 15.313 | 10749.5 |
181 | 2021-05-08 13:28:27 | shallowness | 1 | 49908 | 2 | 0.830 | 60130.1 |
180 | 2021-04-20 09:11:22 | shallowness | 5 | 164607 | 473 | 14.986 | 10984.1 |
179 | 2021-03-23 02:52:49 | shallowness | 5 | 164607 | 473 | 14.626 | 11254.4 |
178 | 2021-02-25 11:18:43 | shallowness | 5 | 164607 | 473 | 15.173 | 10848.7 |
177 | 2021-02-19 07:05:43 | shallowness | 1 | 49908 | 2 | 0.763 | 65410.2 |
176 | 2021-02-19 05:28:18 | shallowness | 5 | 164607 | 473 | 21.970 | 7492.4 |
175 | 2021-01-22 04:17:26 | shallowness | 1 | 49908 | 2 | 0.766 | 65154.0 |
174 | 2021-01-10 20:24:44 | shallowness | 5 | 164607 | 473 | 13.033 | 12630.0 |
173 | 2020-11-15 12:38:30 | shallowness | 1 | 49908 | 2 | 0.766 | 65154.0 |
172 | 2020-10-07 14:45:17 | shallowness | 1 | 49908 | 2 | 0.763 | 65410.2 |
171 | 2020-09-06 09:39:24 | shallowness | 1 | 49908 | 2 | 0.826 | 60421.3 |
170 | 2020-07-29 03:34:25 | shallowness | 1 | 49908 | 2 | 0.796 | 62698.5 |
169 | 2020-04-17 07:09:48 | shallowness | 1 | 49908 | 2 | 0.846 | 58992.9 |