History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"overlearned"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
352 | 2025-07-19 09:03:01 | overlearned | 1 | 49908 | 1 | 0.780 | 63984.6 |
351 | 2025-07-17 19:23:22 | overlearned | 1 | 49908 | 1 | 2.296 | 21736.9 |
350 | 2025-07-10 07:30:27 | overlearned | 1 | 49908 | 1 | 4.313 | 11571.5 |
349 | 2025-06-23 23:39:25 | overlearned | 2 | 86808 | 9 | 11.533 | 7526.9 |
348 | 2025-06-23 11:14:40 | overlearned | 1 | 49908 | 1 | 0.843 | 59202.8 |
347 | 2025-06-23 03:13:10 | overlearned | 1 | 49908 | 1 | 4.000 | 12477.0 |
346 | 2025-06-20 00:33:32 | overlearned | 1 | 49908 | 1 | 4.126 | 12096.0 |
345 | 2025-06-16 15:43:47 | overlearned | 1 | 49908 | 1 | 3.953 | 12625.3 |
344 | 2025-06-01 03:45:26 | overlearned | 1 | 49908 | 1 | 4.046 | 12335.1 |
343 | 2025-05-31 02:46:08 | overlearned | 1 | 49908 | 1 | 4.186 | 11922.6 |
342 | 2025-05-22 03:48:42 | overlearned | 1 | 49908 | 1 | 4.810 | 10375.9 |
341 | 2025-05-19 00:38:46 | overlearned | 1 | 49908 | 1 | 1.736 | 28748.8 |
340 | 2025-05-18 14:34:16 | overlearned | 1 | 49908 | 1 | 1.906 | 26184.7 |
339 | 2025-05-16 15:27:32 | overlearned | 1 | 49908 | 1 | 3.953 | 12625.3 |
338 | 2025-05-15 21:19:18 | overlearned | 1 | 49908 | 1 | 4.283 | 11652.6 |
337 | 2025-05-13 20:12:11 | overlearned | 1 | 49908 | 1 | 5.843 | 8541.5 |
336 | 2025-05-13 04:21:03 | overlearned | 1 | 49908 | 1 | 0.860 | 58032.6 |
335 | 2025-05-07 00:44:33 | overlearned | 1 | 49908 | 1 | 0.876 | 56972.6 |
334 | 2025-04-30 11:57:29 | overlearned | 1 | 49908 | 1 | 3.250 | 15356.3 |
333 | 2025-04-28 05:24:30 | overlearned | 1 | 49908 | 1 | 3.936 | 12679.9 |
332 | 2025-04-14 02:34:53 | overlearned | 1 | 49908 | 1 | 5.343 | 9340.8 |
331 | 2025-04-02 14:26:34 | overlearned | 1 | 49908 | 1 | 5.596 | 8918.5 |
330 | 2025-03-20 13:48:13 | overlearned | 1 | 49908 | 1 | 6.203 | 8045.8 |
329 | 2025-03-13 06:09:15 | overlearned | 1 | 49908 | 1 | 3.923 | 12721.9 |
328 | 2025-03-12 00:17:27 | overlearned | 1 | 49908 | 1 | 2.530 | 19726.5 |
327 | 2025-03-04 03:05:54 | overlearned | 2 | 86808 | 9 | 6.076 | 14287.0 |
326 | 2025-03-04 03:03:42 | overlearned | 1 | 49908 | 1 | 3.936 | 12679.9 |
325 | 2025-02-16 08:34:34 | overlearned | 3 | 121633 | 38 | 36.300 | 3350.8 |
324 | 2025-02-12 06:14:28 | overlearned | 3 | 121633 | 38 | 25.986 | 4680.7 |
323 | 2025-02-11 04:57:25 | overlearned | 4 | 148819 | 184 | 70.313 | 2116.5 |
322 | 2025-02-08 18:25:10 | overlearned | 4 | 148819 | 184 | 49.753 | 2991.2 |
321 | 2025-02-08 09:16:47 | overlearned | 4 | 148819 | 184 | 43.550 | 3417.2 |
320 | 2025-02-08 03:29:12 | overlearned | 4 | 148819 | 184 | 40.770 | 3650.2 |
319 | 2025-02-08 03:29:04 | overlearned | 3 | 121633 | 38 | 23.173 | 5248.9 |
318 | 2025-02-08 03:29:04 | overlearned | 2 | 86808 | 9 | 12.046 | 7206.4 |
317 | 2025-02-08 03:09:52 | overlearned | 1 | 49908 | 1 | 1.266 | 39421.8 |
316 | 2025-02-03 19:48:54 | overlearned | 1 | 49908 | 1 | 3.483 | 14329.0 |
315 | 2025-01-27 11:25:56 | overlearned | 1 | 49908 | 1 | 5.860 | 8516.7 |
314 | 2025-01-20 08:53:46 | overlearned | 1 | 49908 | 1 | 6.000 | 8318.0 |
313 | 2024-12-29 23:29:48 | overlearned | 2 | 86808 | 9 | 15.796 | 5495.6 |
312 | 2024-12-29 23:27:03 | overlearned | 1 | 49908 | 1 | 5.783 | 8630.1 |
311 | 2024-12-27 05:10:11 | overlearned | 2 | 86808 | 9 | 8.326 | 10426.1 |
310 | 2024-12-27 00:34:22 | overlearned | 3 | 121633 | 38 | 23.516 | 5172.4 |
309 | 2024-12-27 00:34:23 | overlearned | 2 | 86808 | 9 | 17.923 | 4843.4 |
308 | 2024-12-27 00:33:12 | overlearned | 1 | 49908 | 1 | 3.680 | 13562.0 |
307 | 2024-12-27 00:26:36 | overlearned | 4 | 148819 | 184 | 45.503 | 3270.5 |
306 | 2024-12-26 02:22:23 | overlearned | 4 | 148819 | 184 | 51.626 | 2882.6 |
305 | 2024-12-26 02:22:33 | overlearned | 2 | 86808 | 9 | 17.906 | 4848.0 |
304 | 2024-12-26 02:22:28 | overlearned | 3 | 121633 | 38 | 20.123 | 6044.5 |
303 | 2024-12-26 02:19:09 | overlearned | 1 | 49908 | 1 | 4.186 | 11922.6 |
302 | 2024-12-20 09:20:34 | overlearned | 1 | 49908 | 1 | 6.326 | 7889.3 |
301 | 2024-11-26 00:24:46 | overlearned | 4 | 148819 | 184 | 43.050 | 3456.9 |
300 | 2024-11-25 18:44:10 | overlearned | 4 | 148819 | 184 | 60.816 | 2447.0 |
299 | 2024-11-25 18:43:18 | overlearned | 1 | 49908 | 1 | 3.626 | 13763.9 |
298 | 2024-11-20 03:10:58 | overlearned | 1 | 49908 | 1 | 1.750 | 28518.9 |
297 | 2024-11-19 16:55:47 | overlearned | 1 | 49908 | 1 | 4.250 | 11743.1 |
296 | 2024-11-18 01:18:47 | overlearned | 2 | 86808 | 9 | 7.780 | 11157.8 |
295 | 2024-11-15 00:57:50 | overlearned | 3 | 121633 | 38 | 26.706 | 4554.5 |
294 | 2024-11-09 15:33:22 | overlearned | 3 | 121633 | 38 | 14.456 | 8414.0 |
293 | 2024-11-08 11:20:00 | overlearned | 3 | 121633 | 38 | 36.016 | 3377.2 |
292 | 2024-11-08 11:19:58 | overlearned | 2 | 86808 | 9 | 12.406 | 6997.3 |
291 | 2024-11-08 05:25:46 | overlearned | 3 | 121633 | 38 | 28.970 | 4198.6 |
290 | 2024-11-08 05:25:46 | overlearned | 2 | 86808 | 9 | 10.000 | 8680.8 |
289 | 2024-11-08 04:42:16 | overlearned | 1 | 49908 | 1 | 0.860 | 58032.6 |
288 | 2024-10-22 13:10:47 | overlearned | 1 | 49908 | 1 | 5.940 | 8402.0 |
287 | 2024-10-17 20:24:46 | overlearned | 1 | 49908 | 1 | 4.000 | 12477.0 |
286 | 2024-09-25 23:27:32 | overlearned | 1 | 49908 | 1 | 6.203 | 8045.8 |
285 | 2024-09-19 00:47:14 | overlearned | 2 | 86808 | 9 | 23.626 | 3674.3 |
284 | 2024-09-19 00:46:50 | overlearned | 1 | 49908 | 1 | 8.046 | 6202.8 |
283 | 2024-09-16 21:29:42 | overlearned | 3 | 121633 | 38 | 60.440 | 2012.5 |
282 | 2024-09-15 14:46:41 | overlearned | 3 | 121633 | 38 | 52.923 | 2298.3 |
281 | 2024-09-15 14:47:02 | overlearned | 2 | 86808 | 9 | 17.206 | 5045.2 |
280 | 2024-09-15 13:48:34 | overlearned | 2 | 86808 | 9 | 26.736 | 3246.9 |
279 | 2024-09-15 13:48:30 | overlearned | 3 | 121633 | 38 | 29.203 | 4165.1 |
278 | 2024-09-15 13:46:30 | overlearned | 3 | 121633 | 38 | 17.470 | 6962.4 |
277 | 2024-09-15 13:43:30 | overlearned | 1 | 49908 | 1 | 8.110 | 6153.9 |
276 | 2024-09-15 13:43:17 | overlearned | 1 | 49908 | 1 | 5.156 | 9679.6 |
275 | 2024-08-27 15:27:16 | overlearned | 2 | 86808 | 9 | 2.346 | 37002.6 |
274 | 2024-08-16 22:53:02 | overlearned | 1 | 49908 | 1 | 3.343 | 14929.1 |
273 | 2024-08-13 20:28:57 | overlearned | 1 | 49908 | 1 | 9.013 | 5537.3 |
272 | 2024-08-12 22:31:19 | overlearned | 1 | 49908 | 1 | 7.033 | 7096.3 |
271 | 2024-08-12 22:30:35 | overlearned | 1 | 49908 | 1 | 5.203 | 9592.2 |
270 | 2024-07-27 17:45:34 | overlearned | 3 | 121633 | 38 | 29.253 | 4158.0 |
269 | 2024-07-27 05:21:12 | overlearned | 3 | 121633 | 38 | 29.453 | 4129.7 |
268 | 2024-07-25 08:05:50 | overlearned | 3 | 121633 | 38 | 22.080 | 5508.7 |
267 | 2024-07-23 08:27:34 | overlearned | 3 | 121633 | 38 | 15.376 | 7910.6 |
266 | 2024-07-23 00:45:04 | overlearned | 3 | 121633 | 38 | 26.190 | 4644.3 |
265 | 2024-07-23 00:45:04 | overlearned | 2 | 86808 | 9 | 11.550 | 7515.8 |
264 | 2024-07-23 00:39:26 | overlearned | 1 | 49908 | 1 | 2.300 | 21699.1 |
263 | 2024-07-02 18:53:58 | overlearned | 4 | 148819 | 184 | 42.953 | 3464.7 |
262 | 2024-06-28 23:41:40 | overlearned | 1 | 49908 | 1 | 3.766 | 13252.3 |
261 | 2024-06-28 20:28:37 | overlearned | 4 | 148819 | 184 | 39.626 | 3755.6 |
260 | 2024-06-25 00:52:51 | overlearned | 4 | 148819 | 184 | 36.366 | 4092.3 |
259 | 2024-06-24 17:52:35 | overlearned | 4 | 148819 | 184 | 36.913 | 4031.6 |
258 | 2024-06-16 14:22:12 | overlearned | 1 | 49908 | 1 | 3.766 | 13252.3 |
257 | 2024-06-06 15:23:05 | overlearned | 1 | 49908 | 1 | 4.360 | 11446.8 |
256 | 2024-05-30 22:17:36 | overlearned | 1 | 49908 | 1 | 1.783 | 27991.0 |
255 | 2024-05-29 12:32:16 | overlearned | 4 | 148819 | 184 | 30.970 | 4805.3 |
254 | 2024-05-29 12:32:25 | overlearned | 2 | 86808 | 9 | 12.470 | 6961.3 |
253 | 2024-05-29 12:32:19 | overlearned | 3 | 121633 | 38 | 17.830 | 6821.8 |