History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tressiest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
289 | 2025-07-14 20:34:02 | tressiest | 2 | 121436 | 16 | 23.810 | 5100.2 |
288 | 2025-07-14 20:31:16 | tressiest | 3 | 148641 | 133 | 57.473 | 2586.3 |
287 | 2025-07-13 18:43:17 | tressiest | 1 | 81242 | 2 | 1.406 | 57782.4 |
286 | 2025-07-13 11:59:22 | tressiest | 1 | 81242 | 2 | 1.610 | 50460.9 |
285 | 2025-07-12 22:32:53 | tressiest | 1 | 81242 | 2 | 2.983 | 27235.0 |
284 | 2025-07-08 16:16:10 | tressiest | 2 | 121436 | 16 | 12.440 | 9761.7 |
283 | 2025-07-06 19:50:04 | tressiest | 1 | 81242 | 2 | 1.470 | 55266.7 |
282 | 2025-07-04 06:35:14 | tressiest | 1 | 81242 | 2 | 5.360 | 15157.1 |
281 | 2025-06-30 15:27:26 | tressiest | 3 | 148641 | 133 | 40.846 | 3639.1 |
280 | 2025-06-27 04:21:49 | tressiest | 3 | 148641 | 133 | 35.330 | 4207.2 |
279 | 2025-06-26 17:48:45 | tressiest | 1 | 81242 | 2 | 5.983 | 13578.8 |
278 | 2025-06-25 07:02:51 | tressiest | 1 | 81242 | 2 | 4.483 | 18122.2 |
277 | 2025-06-24 16:57:54 | tressiest | 2 | 121436 | 16 | 10.593 | 11463.8 |
276 | 2025-06-23 15:06:24 | tressiest | 1 | 81242 | 2 | 1.296 | 62686.7 |
275 | 2025-06-22 08:37:29 | tressiest | 1 | 81242 | 2 | 10.533 | 7713.1 |
274 | 2025-06-21 19:53:38 | tressiest | 1 | 81242 | 2 | 2.750 | 29542.5 |
273 | 2025-06-17 02:19:28 | tressiest | 1 | 81242 | 2 | 3.123 | 26014.1 |
272 | 2025-06-10 10:54:34 | tressiest | 1 | 81242 | 2 | 3.843 | 21140.3 |
271 | 2025-06-05 15:00:05 | tressiest | 3 | 148641 | 133 | 35.436 | 4194.6 |
270 | 2025-06-04 18:50:41 | tressiest | 3 | 148641 | 133 | 34.673 | 4286.9 |
269 | 2025-06-02 12:40:44 | tressiest | 3 | 148641 | 133 | 37.480 | 3965.9 |
268 | 2025-06-02 06:32:54 | tressiest | 1 | 81242 | 2 | 3.890 | 20884.8 |
267 | 2025-06-01 06:51:33 | tressiest | 3 | 148641 | 133 | 38.783 | 3832.6 |
266 | 2025-05-31 14:37:50 | tressiest | 3 | 148641 | 133 | 30.330 | 4900.8 |
265 | 2025-05-30 20:12:24 | tressiest | 1 | 81242 | 2 | 1.250 | 64993.6 |
264 | 2025-05-27 18:42:51 | tressiest | 2 | 121436 | 16 | 9.296 | 13063.3 |
263 | 2025-05-25 16:27:59 | tressiest | 3 | 148641 | 133 | 6.936 | 21430.4 |
262 | 2025-05-25 09:57:43 | tressiest | 2 | 121436 | 16 | 8.813 | 13779.2 |
261 | 2025-05-23 17:22:39 | tressiest | 1 | 81242 | 2 | 1.423 | 57092.1 |
260 | 2025-05-23 00:45:32 | tressiest | 1 | 81242 | 2 | 1.453 | 55913.3 |
259 | 2025-05-20 12:21:02 | tressiest | 1 | 81242 | 2 | 7.110 | 11426.4 |
258 | 2025-05-19 14:50:18 | tressiest | 1 | 81242 | 2 | 1.250 | 64993.6 |
257 | 2025-05-03 21:30:00 | tressiest | 3 | 148641 | 133 | 56.253 | 2642.4 |
256 | 2025-05-02 20:42:03 | tressiest | 1 | 81242 | 2 | 6.313 | 12869.0 |
255 | 2025-04-30 15:11:47 | tressiest | 3 | 148641 | 133 | 35.080 | 4237.2 |
254 | 2025-04-29 19:43:57 | tressiest | 1 | 81242 | 2 | 3.076 | 26411.6 |
253 | 2025-04-28 15:14:13 | tressiest | 3 | 148641 | 133 | 26.080 | 5699.4 |
252 | 2025-04-27 23:43:00 | tressiest | 3 | 148641 | 133 | 31.500 | 4718.8 |
251 | 2025-04-25 21:37:58 | tressiest | 3 | 148641 | 133 | 50.896 | 2920.5 |
250 | 2025-04-25 17:55:19 | tressiest | 3 | 148641 | 133 | 7.140 | 20818.1 |
249 | 2025-04-23 16:48:06 | tressiest | 1 | 81242 | 2 | 3.576 | 22718.7 |
248 | 2025-04-18 14:49:45 | tressiest | 1 | 81242 | 2 | 6.593 | 12322.5 |
247 | 2025-04-12 23:21:22 | tressiest | 3 | 148641 | 133 | 6.533 | 22752.3 |
246 | 2025-04-12 15:53:19 | tressiest | 3 | 148641 | 133 | 32.486 | 4575.5 |
245 | 2025-04-01 21:49:15 | tressiest | 3 | 148641 | 133 | 26.376 | 5635.5 |
244 | 2025-03-29 09:45:38 | tressiest | 3 | 148641 | 133 | 34.500 | 4308.4 |
243 | 2025-03-28 21:50:13 | tressiest | 1 | 81242 | 2 | 6.860 | 11842.9 |
242 | 2025-03-26 17:31:05 | tressiest | 3 | 148641 | 133 | 26.033 | 5709.7 |
241 | 2025-03-26 12:28:47 | tressiest | 1 | 81242 | 2 | 4.093 | 19849.0 |
240 | 2025-03-22 13:57:10 | tressiest | 3 | 148641 | 133 | 17.703 | 8396.4 |
239 | 2025-03-22 12:13:24 | tressiest | 2 | 121436 | 16 | 18.220 | 6665.0 |
238 | 2025-03-21 17:46:27 | tressiest | 3 | 148641 | 133 | 20.673 | 7190.1 |
237 | 2025-03-21 17:01:02 | tressiest | 2 | 121436 | 16 | 27.640 | 4393.5 |
236 | 2025-03-20 18:57:49 | tressiest | 1 | 81242 | 2 | 8.703 | 9334.9 |
235 | 2025-03-19 20:18:10 | tressiest | 1 | 81242 | 2 | 2.563 | 31698.0 |
234 | 2025-03-17 06:54:38 | tressiest | 3 | 148641 | 133 | 39.283 | 3783.9 |
233 | 2025-03-17 06:54:35 | tressiest | 2 | 121436 | 16 | 9.110 | 13330.0 |
232 | 2025-03-16 09:28:39 | tressiest | 1 | 81242 | 2 | 8.486 | 9573.7 |
231 | 2025-03-03 02:01:47 | tressiest | 1 | 81242 | 2 | 1.250 | 64993.6 |
230 | 2025-02-23 18:04:10 | tressiest | 1 | 81242 | 2 | 7.266 | 11181.1 |
229 | 2025-02-07 00:53:14 | tressiest | 1 | 81242 | 2 | 1.283 | 63321.9 |
228 | 2025-02-05 03:53:04 | tressiest | 3 | 148641 | 133 | 38.410 | 3869.9 |
227 | 2025-02-01 03:34:17 | tressiest | 3 | 148641 | 133 | 30.500 | 4873.5 |
226 | 2025-02-01 02:15:15 | tressiest | 1 | 81242 | 2 | 3.060 | 26549.7 |
225 | 2025-01-29 19:22:07 | tressiest | 1 | 81242 | 2 | 7.326 | 11089.5 |
224 | 2025-01-21 11:14:40 | tressiest | 2 | 121436 | 16 | 24.986 | 4860.2 |
223 | 2025-01-19 20:26:51 | tressiest | 2 | 121436 | 16 | 9.860 | 12316.0 |
222 | 2025-01-19 20:26:05 | tressiest | 1 | 81242 | 2 | 6.843 | 11872.3 |
221 | 2025-01-06 18:24:56 | tressiest | 1 | 81242 | 2 | 8.740 | 9295.4 |
220 | 2024-12-30 17:59:18 | tressiest | 1 | 81242 | 2 | 1.233 | 65889.7 |
219 | 2024-12-29 21:41:59 | tressiest | 3 | 148641 | 133 | 24.860 | 5979.1 |
218 | 2024-12-26 02:10:31 | tressiest | 3 | 148641 | 133 | 37.960 | 3915.7 |
217 | 2024-12-26 02:10:29 | tressiest | 2 | 121436 | 16 | 19.503 | 6226.5 |
216 | 2024-12-08 15:25:28 | tressiest | 1 | 81242 | 2 | 9.796 | 8293.4 |
215 | 2024-11-27 08:54:42 | tressiest | 1 | 81242 | 2 | 7.046 | 11530.2 |
214 | 2024-11-26 10:54:51 | tressiest | 1 | 81242 | 2 | 1.390 | 58447.5 |
213 | 2024-11-13 03:59:12 | tressiest | 3 | 148641 | 133 | 32.796 | 4532.3 |
212 | 2024-11-06 16:50:06 | tressiest | 1 | 81242 | 2 | 6.766 | 12007.4 |
211 | 2024-10-30 10:52:11 | tressiest | 2 | 121436 | 16 | 26.533 | 4576.8 |
210 | 2024-10-27 02:43:45 | tressiest | 1 | 81242 | 2 | 1.593 | 50999.4 |
209 | 2024-10-25 11:49:45 | tressiest | 3 | 148641 | 133 | 36.173 | 4109.2 |
208 | 2024-10-25 09:27:20 | tressiest | 2 | 121436 | 16 | 18.126 | 6699.5 |
207 | 2024-10-25 09:25:49 | tressiest | 3 | 148641 | 133 | 39.393 | 3773.3 |
206 | 2024-10-25 09:24:54 | tressiest | 1 | 81242 | 2 | 4.703 | 17274.5 |
205 | 2024-10-06 21:58:56 | tressiest | 1 | 81242 | 2 | 6.203 | 13097.2 |
204 | 2024-09-24 23:54:48 | tressiest | 1 | 81242 | 2 | 9.796 | 8293.4 |
203 | 2024-09-17 09:52:58 | tressiest | 1 | 81242 | 2 | 9.126 | 8902.3 |
202 | 2024-09-12 19:27:09 | tressiest | 1 | 81242 | 2 | 5.233 | 15524.9 |
201 | 2024-08-23 03:01:35 | tressiest | 1 | 81242 | 2 | 4.390 | 18506.2 |
200 | 2024-08-09 22:17:48 | tressiest | 1 | 81242 | 2 | 5.126 | 15849.0 |
199 | 2024-07-31 13:47:04 | tressiest | 1 | 81242 | 2 | 5.343 | 15205.3 |
198 | 2024-07-30 07:31:36 | tressiest | 1 | 81242 | 2 | 1.390 | 58447.5 |
197 | 2024-07-29 10:35:59 | tressiest | 1 | 81242 | 2 | 2.903 | 27985.5 |
196 | 2024-07-20 00:06:35 | tressiest | 1 | 81242 | 2 | 4.063 | 19995.6 |
195 | 2024-07-08 00:43:17 | tressiest | 1 | 81242 | 2 | 6.406 | 12682.2 |
194 | 2024-06-27 00:58:09 | tressiest | 3 | 148641 | 133 | 29.330 | 5067.9 |
193 | 2024-06-24 22:58:54 | tressiest | 1 | 81242 | 2 | 5.000 | 16248.4 |
192 | 2024-06-24 12:06:36 | tressiest | 3 | 148641 | 133 | 13.453 | 11048.9 |
191 | 2024-06-24 12:06:35 | tressiest | 2 | 121436 | 16 | 12.173 | 9975.8 |
190 | 2024-06-23 09:49:44 | tressiest | 3 | 148641 | 133 | 25.503 | 5828.4 |