History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"toroidally"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
275 | 2025-05-02 13:09:43 | toroidally | 1 | 67641 | 1 | 5.750 | 11763.7 |
274 | 2025-04-30 09:33:24 | toroidally | 1 | 67641 | 1 | 4.670 | 14484.2 |
273 | 2025-04-23 21:04:26 | toroidally | 1 | 67641 | 1 | 6.030 | 11217.4 |
272 | 2025-04-20 07:21:34 | toroidally | 1 | 67641 | 1 | 1.216 | 55625.8 |
271 | 2025-04-04 20:59:22 | toroidally | 1 | 67641 | 1 | 8.156 | 8293.4 |
270 | 2025-04-04 19:14:02 | toroidally | 1 | 67641 | 1 | 8.610 | 7856.1 |
269 | 2025-03-28 15:17:54 | toroidally | 3 | 140603 | 23 | 30.313 | 4638.4 |
268 | 2025-03-28 05:06:05 | toroidally | 2 | 108824 | 2 | 12.063 | 9021.3 |
267 | 2025-03-27 09:21:25 | toroidally | 3 | 140603 | 23 | 16.160 | 8700.7 |
266 | 2025-03-25 15:15:22 | toroidally | 2 | 108824 | 2 | 13.970 | 7789.8 |
265 | 2025-03-25 10:52:20 | toroidally | 1 | 67641 | 1 | 8.126 | 8324.0 |
264 | 2025-03-25 06:38:03 | toroidally | 3 | 140603 | 23 | 27.436 | 5124.8 |
263 | 2025-03-24 14:41:00 | toroidally | 1 | 67641 | 1 | 3.610 | 18737.1 |
262 | 2025-03-22 22:33:24 | toroidally | 1 | 67641 | 1 | 5.406 | 12512.2 |
261 | 2025-03-15 13:20:32 | toroidally | 1 | 67641 | 1 | 3.640 | 18582.7 |
260 | 2025-03-12 03:46:56 | toroidally | 1 | 67641 | 1 | 5.376 | 12582.0 |
259 | 2025-03-03 01:03:09 | toroidally | 1 | 67641 | 1 | 1.000 | 67641.0 |
258 | 2025-02-19 17:23:07 | toroidally | 1 | 67641 | 1 | 8.220 | 8228.8 |
257 | 2025-02-18 17:33:16 | toroidally | 1 | 67641 | 1 | 8.516 | 7942.8 |
256 | 2025-02-11 19:56:47 | toroidally | 3 | 140603 | 23 | 31.453 | 4470.3 |
255 | 2025-02-11 19:56:45 | toroidally | 2 | 108824 | 2 | 16.313 | 6671.0 |
254 | 2025-02-11 19:54:10 | toroidally | 1 | 67641 | 1 | 2.653 | 25496.0 |
253 | 2025-02-09 20:14:42 | toroidally | 4 | 161450 | 142 | 58.973 | 2737.7 |
252 | 2025-01-26 10:02:47 | toroidally | 4 | 161450 | 142 | 41.750 | 3867.1 |
251 | 2025-01-26 10:02:28 | toroidally | 3 | 140603 | 23 | 26.720 | 5262.1 |
250 | 2025-01-26 10:02:39 | toroidally | 2 | 108824 | 2 | 14.690 | 7408.0 |
249 | 2025-01-26 09:34:07 | toroidally | 1 | 67641 | 1 | 1.093 | 61885.6 |
248 | 2025-01-09 20:02:30 | toroidally | 1 | 67641 | 1 | 1.140 | 59334.2 |
247 | 2025-01-05 09:59:49 | toroidally | 1 | 67641 | 1 | 1.013 | 66773.0 |
246 | 2025-01-01 21:10:20 | toroidally | 1 | 67641 | 1 | 1.156 | 58513.0 |
245 | 2024-12-27 02:49:21 | toroidally | 1 | 67641 | 1 | 1.000 | 67641.0 |
244 | 2024-12-05 13:02:52 | toroidally | 4 | 161450 | 142 | 70.550 | 2288.4 |
243 | 2024-12-05 13:02:51 | toroidally | 2 | 108824 | 2 | 16.016 | 6794.7 |
242 | 2024-12-05 12:51:44 | toroidally | 1 | 67641 | 1 | 4.733 | 14291.4 |
241 | 2024-12-03 19:04:12 | toroidally | 4 | 161450 | 142 | 58.363 | 2766.3 |
240 | 2024-12-02 21:19:21 | toroidally | 4 | 161450 | 142 | 50.500 | 3197.0 |
239 | 2024-12-02 21:19:24 | toroidally | 2 | 108824 | 2 | 27.080 | 4018.6 |
238 | 2024-12-02 20:17:08 | toroidally | 1 | 67641 | 1 | 5.263 | 12852.2 |
237 | 2024-11-28 10:11:20 | toroidally | 1 | 67641 | 1 | 1.906 | 35488.5 |
236 | 2024-11-23 12:44:18 | toroidally | 3 | 140603 | 23 | 18.143 | 7749.7 |
235 | 2024-11-19 08:53:07 | toroidally | 3 | 140603 | 23 | 32.016 | 4391.6 |
234 | 2024-11-18 05:41:00 | toroidally | 3 | 140603 | 23 | 29.906 | 4701.5 |
233 | 2024-11-18 05:41:01 | toroidally | 2 | 108824 | 2 | 23.923 | 4548.9 |
232 | 2024-11-18 05:37:56 | toroidally | 1 | 67641 | 1 | 2.470 | 27385.0 |
231 | 2024-10-26 20:01:14 | toroidally | 1 | 67641 | 1 | 7.373 | 9174.1 |
230 | 2024-10-23 03:21:11 | toroidally | 3 | 140603 | 23 | 32.330 | 4349.0 |
229 | 2024-10-23 03:21:13 | toroidally | 2 | 108824 | 2 | 14.966 | 7271.4 |
228 | 2024-10-23 03:15:49 | toroidally | 1 | 67641 | 1 | 1.173 | 57665.0 |
227 | 2024-10-20 07:54:34 | toroidally | 2 | 108824 | 2 | 15.906 | 6841.7 |
226 | 2024-10-20 07:52:41 | toroidally | 1 | 67641 | 1 | 2.690 | 25145.4 |
225 | 2024-10-20 06:56:02 | toroidally | 3 | 140603 | 23 | 33.296 | 4222.8 |
224 | 2024-10-19 17:25:56 | toroidally | 3 | 140603 | 23 | 36.860 | 3814.5 |
223 | 2024-10-19 17:25:41 | toroidally | 3 | 140603 | 23 | 32.236 | 4361.7 |
222 | 2024-10-18 14:12:52 | toroidally | 3 | 140603 | 23 | 41.923 | 3353.8 |
221 | 2024-10-18 14:12:53 | toroidally | 3 | 140603 | 23 | 31.110 | 4519.5 |
220 | 2024-10-17 23:34:35 | toroidally | 4 | 161450 | 142 | 59.473 | 2714.7 |
219 | 2024-10-17 23:34:38 | toroidally | 3 | 140603 | 23 | 33.173 | 4238.5 |
218 | 2024-10-17 23:34:46 | toroidally | 2 | 108824 | 2 | 15.703 | 6930.1 |
217 | 2024-10-17 23:29:24 | toroidally | 1 | 67641 | 1 | 2.796 | 24192.1 |
216 | 2024-09-09 08:20:58 | toroidally | 1 | 67641 | 1 | 6.220 | 10874.8 |
215 | 2024-08-01 21:42:03 | toroidally | 2 | 108824 | 2 | 9.546 | 11400.0 |
214 | 2024-08-01 21:38:35 | toroidally | 1 | 67641 | 1 | 5.110 | 13237.0 |
213 | 2024-07-23 23:12:00 | toroidally | 3 | 140603 | 23 | 25.313 | 5554.6 |
212 | 2024-07-23 18:16:05 | toroidally | 4 | 161450 | 142 | 47.503 | 3398.7 |
211 | 2024-07-23 03:00:22 | toroidally | 3 | 140603 | 23 | 21.160 | 6644.8 |
210 | 2024-07-23 00:09:50 | toroidally | 3 | 140603 | 23 | 12.066 | 11652.8 |
209 | 2024-07-23 00:08:53 | toroidally | 3 | 140603 | 23 | 38.940 | 3610.8 |
208 | 2024-07-22 08:07:54 | toroidally | 4 | 161450 | 142 | 27.453 | 5881.0 |
207 | 2024-07-22 00:30:28 | toroidally | 4 | 161450 | 142 | 40.816 | 3955.6 |
206 | 2024-07-21 19:32:50 | toroidally | 4 | 161450 | 142 | 28.703 | 5624.8 |
205 | 2024-07-21 19:32:52 | toroidally | 3 | 140603 | 23 | 13.750 | 10225.7 |
204 | 2024-07-21 19:32:53 | toroidally | 2 | 108824 | 2 | 11.906 | 9140.3 |
203 | 2024-07-21 19:28:30 | toroidally | 1 | 67641 | 1 | 2.263 | 29890.0 |
202 | 2024-07-18 15:01:56 | toroidally | 1 | 67641 | 1 | 3.670 | 18430.8 |
201 | 2024-07-11 22:28:21 | toroidally | 1 | 67641 | 1 | 4.173 | 16209.2 |
200 | 2024-06-28 06:45:02 | toroidally | 2 | 108824 | 2 | 12.736 | 8544.6 |
199 | 2024-06-28 06:36:22 | toroidally | 1 | 67641 | 1 | 5.686 | 11896.1 |
198 | 2024-06-21 04:43:32 | toroidally | 3 | 140603 | 23 | 18.843 | 7461.8 |
197 | 2024-06-21 04:21:47 | toroidally | 3 | 140603 | 23 | 21.973 | 6398.9 |
196 | 2024-06-20 09:55:02 | toroidally | 1 | 67641 | 1 | 3.780 | 17894.4 |
195 | 2024-06-19 14:04:33 | toroidally | 3 | 140603 | 23 | 24.533 | 5731.2 |
194 | 2024-06-17 16:05:53 | toroidally | 4 | 161450 | 142 | 54.630 | 2955.3 |
193 | 2024-06-17 16:05:42 | toroidally | 3 | 140603 | 23 | 38.470 | 3654.9 |
192 | 2024-06-16 09:49:59 | toroidally | 4 | 161450 | 142 | 40.550 | 3981.5 |
191 | 2024-06-16 07:16:48 | toroidally | 3 | 140603 | 23 | 19.983 | 7036.1 |
190 | 2024-06-14 14:08:44 | toroidally | 2 | 108824 | 2 | 3.283 | 33147.7 |
189 | 2024-06-14 14:08:37 | toroidally | 1 | 67641 | 1 | 1.860 | 36366.1 |
188 | 2024-06-14 14:00:20 | toroidally | 3 | 140603 | 23 | 34.190 | 4112.4 |
187 | 2024-06-14 08:01:14 | toroidally | 4 | 161450 | 142 | 39.360 | 4101.9 |
186 | 2024-06-14 00:24:12 | toroidally | 3 | 140603 | 23 | 12.596 | 11162.5 |
185 | 2024-06-13 08:45:43 | toroidally | 3 | 140603 | 23 | 32.343 | 4347.2 |
184 | 2024-06-13 08:45:34 | toroidally | 4 | 161450 | 142 | 39.893 | 4047.1 |
183 | 2024-06-13 08:45:44 | toroidally | 2 | 108824 | 2 | 17.406 | 6252.1 |
182 | 2024-06-13 08:44:38 | toroidally | 1 | 67641 | 1 | 2.123 | 31861.0 |
181 | 2024-06-08 08:07:04 | toroidally | 1 | 67641 | 1 | 3.780 | 17894.4 |
180 | 2024-05-12 22:03:07 | toroidally | 1 | 67641 | 1 | 2.500 | 27056.4 |
179 | 2024-05-12 12:17:11 | toroidally | 1 | 67641 | 1 | 1.313 | 51516.4 |
178 | 2024-05-05 19:03:19 | toroidally | 1 | 67641 | 1 | 1.170 | 57812.8 |
177 | 2024-05-05 15:03:21 | toroidally | 1 | 67641 | 1 | 1.346 | 50253.3 |
176 | 2024-05-03 17:07:24 | toroidally | 1 | 67641 | 1 | 2.406 | 28113.5 |