History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"teariness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
267 | 2024-04-16 00:26:53 | teariness | 1 | 81242 | 2 | 1.233 | 65889.7 |
266 | 2024-04-11 20:04:40 | teariness | 3 | 148641 | 234 | 27.520 | 5401.2 |
265 | 2024-04-09 11:55:32 | teariness | 3 | 148641 | 234 | 25.066 | 5930.0 |
264 | 2024-04-09 11:55:30 | teariness | 2 | 121436 | 41 | 7.530 | 16127.0 |
263 | 2024-04-09 10:26:48 | teariness | 1 | 81242 | 2 | 1.310 | 62016.8 |
262 | 2024-03-28 13:47:29 | teariness | 1 | 81242 | 2 | 1.470 | 55266.7 |
261 | 2024-03-12 10:02:47 | teariness | 3 | 148641 | 234 | 6.406 | 23203.4 |
260 | 2024-03-07 14:51:57 | teariness | 2 | 121436 | 41 | 4.000 | 30359.0 |
259 | 2024-03-07 14:38:43 | teariness | 3 | 148641 | 234 | 6.576 | 22603.6 |
258 | 2024-03-05 17:57:10 | teariness | 2 | 121436 | 41 | 9.046 | 13424.3 |
257 | 2024-03-04 17:20:55 | teariness | 3 | 148641 | 234 | 23.110 | 6431.9 |
256 | 2024-03-04 17:20:55 | teariness | 2 | 121436 | 41 | 11.656 | 10418.3 |
255 | 2024-03-04 16:17:09 | teariness | 1 | 81242 | 2 | 4.406 | 18438.9 |
254 | 2024-02-27 07:24:50 | teariness | 1 | 81242 | 2 | 2.903 | 27985.5 |
253 | 2024-01-31 10:12:16 | teariness | 1 | 81242 | 2 | 1.513 | 53696.0 |
252 | 2024-01-01 22:33:13 | teariness | 1 | 81242 | 2 | 1.403 | 57905.9 |
251 | 2023-12-26 04:01:02 | teariness | 1 | 81242 | 2 | 1.410 | 57618.4 |
250 | 2023-12-25 00:40:39 | teariness | 1 | 81242 | 2 | 1.233 | 65889.7 |
249 | 2023-12-04 13:33:53 | teariness | 1 | 81242 | 2 | 1.233 | 65889.7 |
248 | 2023-11-25 23:08:37 | teariness | 3 | 148641 | 234 | 6.796 | 21871.8 |
247 | 2023-11-23 13:37:07 | teariness | 1 | 81242 | 2 | 1.343 | 60492.9 |
246 | 2023-10-25 02:46:38 | teariness | 1 | 81242 | 2 | 1.390 | 58447.5 |
245 | 2023-10-22 05:44:16 | teariness | 1 | 81242 | 2 | 1.266 | 64172.2 |
244 | 2023-10-16 05:17:31 | teariness | 1 | 81242 | 2 | 1.376 | 59042.2 |
243 | 2023-08-25 23:46:52 | teariness | 3 | 148641 | 234 | 7.300 | 20361.8 |
242 | 2023-08-17 20:47:50 | teariness | 1 | 81242 | 2 | 1.250 | 64993.6 |
241 | 2023-08-12 12:40:34 | teariness | 1 | 81242 | 2 | 1.343 | 60492.9 |
240 | 2023-05-20 02:52:15 | teariness | 1 | 81242 | 2 | 1.343 | 60492.9 |
239 | 2023-05-10 20:21:55 | teariness | 3 | 148641 | 234 | 6.440 | 23080.9 |
238 | 2023-04-20 06:01:55 | teariness | 1 | 81242 | 2 | 1.280 | 63470.3 |
237 | 2023-03-15 17:49:59 | teariness | 1 | 81242 | 2 | 1.266 | 64172.2 |
236 | 2023-02-18 15:55:51 | teariness | 3 | 148641 | 234 | 6.860 | 21667.8 |
235 | 2023-01-04 07:35:32 | teariness | 1 | 81242 | 2 | 1.220 | 66591.8 |
234 | 2022-12-31 08:40:37 | teariness | 1 | 81242 | 2 | 1.360 | 59736.8 |
233 | 2022-12-01 01:59:12 | teariness | 3 | 148641 | 234 | 6.326 | 23496.8 |
232 | 2022-09-29 19:19:17 | teariness | 1 | 81242 | 2 | 2.063 | 39380.5 |
231 | 2022-09-16 21:34:00 | teariness | 1 | 81242 | 2 | 1.233 | 65889.7 |
230 | 2022-07-08 01:01:30 | teariness | 3 | 148641 | 234 | 6.436 | 23095.2 |
229 | 2022-05-15 12:53:54 | teariness | 1 | 81242 | 2 | 1.280 | 63470.3 |
228 | 2022-05-07 16:26:28 | teariness | 1 | 81242 | 2 | 1.390 | 58447.5 |
227 | 2022-02-03 10:54:35 | teariness | 1 | 81242 | 2 | 1.300 | 62493.8 |
226 | 2022-01-13 08:37:11 | teariness | 1 | 81242 | 2 | 1.360 | 59736.8 |
225 | 2021-11-25 07:36:13 | teariness | 1 | 81242 | 2 | 1.440 | 56418.1 |
224 | 2021-10-08 23:03:59 | teariness | 1 | 81242 | 2 | 1.423 | 57092.1 |
223 | 2021-09-30 16:34:27 | teariness | 1 | 81242 | 2 | 1.360 | 59736.8 |
222 | 2021-09-27 01:24:56 | teariness | 2 | 121436 | 41 | 3.580 | 33920.7 |
221 | 2021-09-22 08:09:39 | teariness | 1 | 81242 | 2 | 1.500 | 54161.3 |
220 | 2021-09-21 16:40:26 | teariness | 2 | 121436 | 41 | 3.533 | 34371.9 |
219 | 2021-09-21 16:33:39 | teariness | 1 | 81242 | 2 | 1.486 | 54671.6 |
218 | 2021-09-15 00:02:13 | teariness | 1 | 81242 | 2 | 1.266 | 64172.2 |
217 | 2021-09-04 16:50:46 | teariness | 1 | 81242 | 2 | 1.310 | 62016.8 |
216 | 2021-08-20 07:40:37 | teariness | 1 | 81242 | 2 | 1.250 | 64993.6 |
215 | 2021-07-01 07:11:13 | teariness | 1 | 81242 | 2 | 1.283 | 63321.9 |
214 | 2021-06-06 10:30:05 | teariness | 1 | 81242 | 2 | 1.266 | 64172.2 |
213 | 2021-05-04 15:33:10 | teariness | 1 | 81242 | 2 | 1.390 | 58447.5 |
212 | 2021-04-11 07:44:03 | teariness | 1 | 81242 | 2 | 1.296 | 62686.7 |
211 | 2021-04-05 11:18:36 | teariness | 1 | 81242 | 2 | 2.920 | 27822.6 |
210 | 2021-03-31 08:18:30 | teariness | 1 | 81242 | 2 | 1.360 | 59736.8 |
209 | 2021-02-18 08:38:49 | teariness | 1 | 81242 | 2 | 1.283 | 63321.9 |
208 | 2020-12-26 20:54:06 | teariness | 1 | 81242 | 2 | 1.236 | 65729.8 |
207 | 2020-11-12 11:31:25 | teariness | 1 | 81242 | 2 | 1.673 | 48560.7 |
206 | 2020-11-05 21:38:28 | teariness | 1 | 81242 | 2 | 1.313 | 61875.1 |
205 | 2020-10-21 00:47:10 | teariness | 1 | 81242 | 2 | 1.390 | 58447.5 |
204 | 2020-10-16 18:42:01 | teariness | 1 | 81242 | 2 | 1.376 | 59042.2 |
203 | 2020-10-14 02:51:41 | teariness | 1 | 81242 | 2 | 1.266 | 64172.2 |
202 | 2020-09-23 04:27:38 | teariness | 1 | 81242 | 2 | 1.233 | 65889.7 |
201 | 2020-08-28 11:24:34 | teariness | 1 | 81242 | 2 | 1.406 | 57782.4 |
200 | 2020-06-18 06:38:06 | teariness | 1 | 81242 | 2 | 1.516 | 53589.7 |
199 | 2020-03-29 13:34:18 | teariness | 1 | 81242 | 2 | 2.923 | 27794.0 |
198 | 2020-03-29 05:30:03 | teariness | 1 | 81242 | 2 | 2.983 | 27235.0 |
197 | 2020-03-28 02:59:07 | teariness | 1 | 81242 | 2 | 1.466 | 55417.5 |
196 | 2020-03-20 16:18:24 | teariness | 1 | 81242 | 2 | 1.423 | 57092.1 |
195 | 2020-03-11 16:49:08 | teariness | 1 | 81242 | 2 | 1.263 | 64324.6 |
194 | 2020-03-01 21:01:49 | teariness | 1 | 81242 | 2 | 1.266 | 64172.2 |
193 | 2020-02-26 06:18:56 | teariness | 1 | 81242 | 2 | 1.390 | 58447.5 |
192 | 2020-02-23 07:39:49 | teariness | 3 | 148641 | 234 | 7.956 | 18682.9 |
191 | 2020-02-23 06:36:16 | teariness | 3 | 148641 | 234 | 16.593 | 8958.1 |
190 | 2020-02-19 06:39:36 | teariness | 3 | 148641 | 234 | 10.170 | 14615.6 |
189 | 2020-02-17 03:40:21 | teariness | 3 | 148641 | 234 | 12.330 | 12055.2 |
188 | 2020-02-14 06:56:00 | teariness | 2 | 121436 | 41 | 6.826 | 17790.2 |
187 | 2020-02-13 16:03:22 | teariness | 1 | 81242 | 2 | 5.796 | 14016.9 |
186 | 2020-02-13 15:02:03 | teariness | 3 | 148641 | 234 | 9.080 | 16370.2 |
185 | 2020-02-11 00:11:15 | teariness | 1 | 81242 | 2 | 1.466 | 55417.5 |
184 | 2020-02-10 23:39:36 | teariness | 1 | 81242 | 2 | 1.420 | 57212.7 |
183 | 2020-02-09 13:52:32 | teariness | 2 | 121436 | 41 | 8.720 | 13926.1 |
182 | 2020-02-09 09:45:39 | teariness | 1 | 81242 | 2 | 2.373 | 34236.0 |
181 | 2020-02-08 14:48:16 | teariness | 3 | 148641 | 234 | 24.673 | 6024.4 |
180 | 2020-02-07 15:52:24 | teariness | 1 | 81242 | 2 | 1.500 | 54161.3 |
179 | 2020-02-04 05:16:12 | teariness | 1 | 81242 | 2 | 1.436 | 56575.2 |
178 | 2020-02-02 02:38:23 | teariness | 1 | 81242 | 2 | 1.440 | 56418.1 |
177 | 2020-02-01 07:54:33 | teariness | 1 | 81242 | 2 | 1.356 | 59913.0 |
176 | 2020-01-23 13:51:50 | teariness | 3 | 148641 | 234 | 16.093 | 9236.4 |
175 | 2020-01-22 21:31:59 | teariness | 2 | 121436 | 41 | 8.860 | 13706.1 |
174 | 2020-01-21 20:49:37 | teariness | 1 | 81242 | 2 | 1.810 | 44885.1 |
173 | 2020-01-21 19:18:31 | teariness | 3 | 148641 | 234 | 12.030 | 12355.9 |
172 | 2020-01-20 18:00:02 | teariness | 1 | 81242 | 2 | 1.453 | 55913.3 |
171 | 2020-01-20 17:14:09 | teariness | 3 | 148641 | 234 | 15.906 | 9345.0 |
170 | 2020-01-20 15:46:20 | teariness | 3 | 148641 | 234 | 26.236 | 5665.5 |
169 | 2020-01-20 14:54:03 | teariness | 2 | 121436 | 41 | 3.983 | 30488.6 |
168 | 2020-01-17 20:57:16 | teariness | 3 | 148641 | 234 | 19.813 | 7502.2 |