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 |
301 | 2025-08-18 07:38:04 | toroidally | 1 | 67641 | 1 | 1.096 | 61716.2 |
300 | 2025-08-16 23:45:26 | toroidally | 3 | 140603 | 23 | 20.890 | 6730.6 |
299 | 2025-08-16 19:37:44 | toroidally | 1 | 67641 | 1 | 5.046 | 13404.9 |
298 | 2025-08-16 08:07:33 | toroidally | 1 | 67641 | 1 | 1.110 | 60937.8 |
297 | 2025-07-26 23:13:28 | toroidally | 1 | 67641 | 1 | 2.326 | 29080.4 |
296 | 2025-07-23 02:36:30 | toroidally | 1 | 67641 | 1 | 2.673 | 25305.3 |
295 | 2025-07-17 11:45:23 | toroidally | 1 | 67641 | 1 | 4.640 | 14577.8 |
294 | 2025-07-05 07:59:24 | toroidally | 1 | 67641 | 1 | 3.140 | 21541.7 |
293 | 2025-06-30 14:47:59 | toroidally | 3 | 140603 | 23 | 39.113 | 3594.8 |
292 | 2025-06-29 22:06:49 | toroidally | 3 | 140603 | 23 | 25.610 | 5490.2 |
291 | 2025-06-28 06:54:59 | toroidally | 3 | 140603 | 23 | 31.423 | 4474.5 |
290 | 2025-06-22 09:04:41 | toroidally | 1 | 67641 | 1 | 8.216 | 8232.8 |
289 | 2025-06-21 22:41:33 | toroidally | 2 | 108824 | 2 | 9.826 | 11075.1 |
288 | 2025-06-21 00:51:54 | toroidally | 3 | 140603 | 23 | 6.406 | 21948.6 |
287 | 2025-06-18 05:55:23 | toroidally | 3 | 140603 | 23 | 24.893 | 5648.3 |
286 | 2025-06-16 15:18:48 | toroidally | 3 | 140603 | 23 | 31.813 | 4419.7 |
285 | 2025-06-16 11:35:05 | toroidally | 4 | 161450 | 142 | 69.910 | 2309.4 |
284 | 2025-06-16 08:38:37 | toroidally | 4 | 161450 | 142 | 70.613 | 2286.4 |
283 | 2025-06-15 21:47:06 | toroidally | 1 | 67641 | 1 | 5.970 | 11330.2 |
282 | 2025-06-15 19:34:49 | toroidally | 1 | 67641 | 1 | 5.466 | 12374.9 |
281 | 2025-06-14 08:40:45 | toroidally | 4 | 161450 | 142 | 48.126 | 3354.7 |
280 | 2025-06-14 06:30:06 | toroidally | 3 | 140603 | 23 | 19.720 | 7130.0 |
279 | 2025-06-13 13:14:56 | toroidally | 1 | 67641 | 1 | 1.160 | 58311.2 |
278 | 2025-06-06 09:47:17 | toroidally | 1 | 67641 | 1 | 8.203 | 8245.9 |
277 | 2025-05-29 12:54:14 | toroidally | 1 | 67641 | 1 | 6.250 | 10822.6 |
276 | 2025-05-20 08:18:09 | toroidally | 1 | 67641 | 1 | 6.280 | 10770.9 |
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 |