History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"preadapted"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
380 | 2025-09-12 12:43:52 | preadapted | 1 | 67641 | 3 | 2.453 | 27574.8 |
379 | 2025-09-11 23:59:30 | preadapted | 1 | 67641 | 3 | 1.266 | 53428.9 |
378 | 2025-09-09 08:15:26 | preadapted | 1 | 67641 | 3 | 2.093 | 32317.7 |
377 | 2025-09-06 16:11:24 | preadapted | 1 | 67641 | 3 | 2.250 | 30062.7 |
376 | 2025-09-06 08:37:45 | preadapted | 4 | 161450 | 228 | 10.970 | 14717.4 |
375 | 2025-09-06 01:27:07 | preadapted | 1 | 67641 | 3 | 1.206 | 56087.1 |
374 | 2025-08-30 23:44:17 | preadapted | 2 | 108824 | 7 | 2.830 | 38453.7 |
373 | 2025-08-30 20:52:49 | preadapted | 1 | 67641 | 3 | 1.250 | 54112.8 |
372 | 2025-08-30 18:01:59 | preadapted | 1 | 67641 | 3 | 1.203 | 56226.9 |
371 | 2025-08-29 16:24:33 | preadapted | 1 | 67641 | 3 | 1.123 | 60232.4 |
370 | 2025-08-28 17:24:22 | preadapted | 3 | 140603 | 36 | 6.250 | 22496.5 |
369 | 2025-08-28 14:12:48 | preadapted | 2 | 108824 | 7 | 3.266 | 33320.3 |
368 | 2025-08-28 13:19:44 | preadapted | 3 | 140603 | 36 | 6.796 | 20689.1 |
367 | 2025-08-28 12:09:33 | preadapted | 1 | 67641 | 3 | 1.936 | 34938.5 |
366 | 2025-08-28 06:38:30 | preadapted | 1 | 67641 | 3 | 1.766 | 38301.8 |
365 | 2025-08-28 06:34:09 | preadapted | 1 | 67641 | 3 | 1.326 | 51011.3 |
364 | 2025-08-27 20:52:46 | preadapted | 1 | 67641 | 3 | 1.263 | 53555.8 |
363 | 2025-08-27 20:38:27 | preadapted | 4 | 161450 | 228 | 13.206 | 12225.5 |
362 | 2025-08-27 06:20:39 | preadapted | 3 | 140603 | 36 | 6.360 | 22107.4 |
361 | 2025-08-27 00:07:21 | preadapted | 3 | 140603 | 36 | 7.686 | 18293.4 |
360 | 2025-08-26 22:31:55 | preadapted | 3 | 140603 | 36 | 6.156 | 22840.0 |
359 | 2025-08-26 20:27:08 | preadapted | 3 | 140603 | 36 | 16.156 | 8702.8 |
358 | 2025-08-24 19:35:19 | preadapted | 3 | 140603 | 36 | 5.813 | 24187.7 |
357 | 2025-08-22 06:57:53 | preadapted | 4 | 161450 | 228 | 68.660 | 2351.4 |
356 | 2025-08-20 07:02:53 | preadapted | 4 | 161450 | 228 | 12.063 | 13383.9 |
355 | 2025-08-19 23:17:19 | preadapted | 4 | 161450 | 228 | 11.890 | 13578.6 |
354 | 2025-08-14 11:11:59 | preadapted | 1 | 67641 | 3 | 1.110 | 60937.8 |
353 | 2025-08-13 13:46:15 | preadapted | 1 | 67641 | 3 | 2.313 | 29243.8 |
352 | 2025-08-12 03:04:04 | preadapted | 1 | 67641 | 3 | 5.343 | 12659.7 |
351 | 2025-08-11 23:55:48 | preadapted | 4 | 161450 | 228 | 34.976 | 4616.0 |
350 | 2025-08-11 23:55:48 | preadapted | 4 | 161450 | 228 | 28.803 | 5605.3 |
349 | 2025-08-10 11:28:57 | preadapted | 4 | 161450 | 228 | 54.846 | 2943.7 |
348 | 2025-08-10 07:11:30 | preadapted | 4 | 161450 | 228 | 40.953 | 3942.3 |
347 | 2025-08-10 04:44:17 | preadapted | 4 | 161450 | 228 | 29.796 | 5418.5 |
346 | 2025-08-06 21:57:38 | preadapted | 1 | 67641 | 3 | 5.156 | 13118.9 |
345 | 2025-08-05 22:44:09 | preadapted | 4 | 161450 | 228 | 51.470 | 3136.8 |
344 | 2025-07-28 04:51:54 | preadapted | 3 | 140603 | 36 | 13.936 | 10089.2 |
343 | 2025-07-25 09:41:16 | preadapted | 1 | 67641 | 3 | 2.703 | 25024.4 |
342 | 2025-07-25 05:16:39 | preadapted | 1 | 67641 | 3 | 2.953 | 22905.9 |
341 | 2025-07-23 20:50:25 | preadapted | 1 | 67641 | 3 | 7.580 | 8923.6 |
340 | 2025-07-23 09:30:48 | preadapted | 1 | 67641 | 3 | 3.360 | 20131.3 |
339 | 2025-07-22 23:14:31 | preadapted | 1 | 67641 | 3 | 5.736 | 11792.4 |
338 | 2025-07-17 14:35:07 | preadapted | 3 | 140603 | 36 | 32.563 | 4317.9 |
337 | 2025-07-13 20:33:05 | preadapted | 3 | 140603 | 36 | 33.656 | 4177.7 |
336 | 2025-07-11 05:01:00 | preadapted | 3 | 140603 | 36 | 46.113 | 3049.1 |
335 | 2025-07-10 01:23:58 | preadapted | 3 | 140603 | 36 | 28.080 | 5007.2 |
334 | 2025-07-08 14:59:53 | preadapted | 3 | 140603 | 36 | 47.456 | 2962.8 |
333 | 2025-07-07 10:35:38 | preadapted | 3 | 140603 | 36 | 30.203 | 4655.3 |
332 | 2025-07-07 01:59:16 | preadapted | 1 | 67641 | 3 | 2.530 | 26735.6 |
331 | 2025-07-06 20:45:08 | preadapted | 2 | 108824 | 7 | 3.703 | 29388.1 |
330 | 2025-07-04 14:56:54 | preadapted | 2 | 108824 | 7 | 19.610 | 5549.4 |
329 | 2025-07-04 01:30:16 | preadapted | 1 | 67641 | 3 | 2.830 | 23901.4 |
328 | 2025-06-27 09:50:00 | preadapted | 4 | 161450 | 228 | 45.613 | 3539.6 |
327 | 2025-06-23 21:38:46 | preadapted | 4 | 161450 | 228 | 47.830 | 3375.5 |
326 | 2025-06-22 16:04:42 | preadapted | 1 | 67641 | 3 | 6.766 | 9997.2 |
325 | 2025-06-17 05:07:52 | preadapted | 4 | 161450 | 228 | 12.110 | 13332.0 |
324 | 2025-06-13 21:58:41 | preadapted | 1 | 67641 | 3 | 5.703 | 11860.6 |
323 | 2025-06-13 06:34:16 | preadapted | 1 | 67641 | 3 | 1.250 | 54112.8 |
322 | 2025-06-11 20:28:37 | preadapted | 4 | 161450 | 228 | 13.390 | 12057.5 |
321 | 2025-06-11 04:57:14 | preadapted | 4 | 161450 | 228 | 59.333 | 2721.1 |
320 | 2025-06-10 13:19:37 | preadapted | 4 | 161450 | 228 | 39.236 | 4114.8 |
319 | 2025-06-08 14:52:52 | preadapted | 4 | 161450 | 228 | 51.800 | 3116.8 |
318 | 2025-06-02 05:10:39 | preadapted | 4 | 161450 | 228 | 73.483 | 2197.1 |
317 | 2025-05-30 04:48:46 | preadapted | 1 | 67641 | 3 | 7.000 | 9663.0 |
316 | 2025-05-29 00:50:46 | preadapted | 1 | 67641 | 3 | 2.563 | 26391.3 |
315 | 2025-05-28 05:04:29 | preadapted | 3 | 140603 | 36 | 17.516 | 8027.1 |
314 | 2025-05-28 02:23:23 | preadapted | 3 | 140603 | 36 | 6.250 | 22496.5 |
313 | 2025-05-27 00:26:33 | preadapted | 3 | 140603 | 36 | 34.440 | 4082.5 |
312 | 2025-05-26 13:16:00 | preadapted | 4 | 161450 | 228 | 73.346 | 2201.2 |
311 | 2025-05-23 23:55:41 | preadapted | 3 | 140603 | 36 | 26.516 | 5302.6 |
310 | 2025-05-22 16:48:12 | preadapted | 1 | 67641 | 3 | 6.296 | 10743.5 |
309 | 2025-05-21 21:44:56 | preadapted | 3 | 140603 | 36 | 27.750 | 5066.8 |
308 | 2025-05-20 04:55:29 | preadapted | 3 | 140603 | 36 | 37.283 | 3771.2 |
307 | 2025-05-11 21:16:17 | preadapted | 1 | 67641 | 3 | 5.733 | 11798.5 |
306 | 2025-05-10 21:46:51 | preadapted | 4 | 161450 | 228 | 58.046 | 2781.4 |
305 | 2025-05-10 10:04:12 | preadapted | 1 | 67641 | 3 | 6.186 | 10934.5 |
304 | 2025-05-10 04:58:33 | preadapted | 4 | 161450 | 228 | 73.346 | 2201.2 |
303 | 2025-05-09 12:16:51 | preadapted | 4 | 161450 | 228 | 10.843 | 14889.8 |
302 | 2025-05-08 14:54:57 | preadapted | 4 | 161450 | 228 | 57.753 | 2795.5 |
301 | 2025-05-08 12:01:11 | preadapted | 1 | 67641 | 3 | 3.110 | 21749.5 |
300 | 2025-05-08 06:40:01 | preadapted | 1 | 67641 | 3 | 5.813 | 11636.2 |
299 | 2025-05-06 17:12:13 | preadapted | 4 | 161450 | 228 | 54.143 | 2981.9 |
298 | 2025-04-30 00:43:53 | preadapted | 4 | 161450 | 228 | 74.253 | 2174.3 |
297 | 2025-04-28 18:29:49 | preadapted | 4 | 161450 | 228 | 11.203 | 14411.3 |
296 | 2025-04-26 13:06:46 | preadapted | 2 | 108824 | 7 | 14.206 | 7660.4 |
295 | 2025-04-25 00:22:34 | preadapted | 1 | 67641 | 3 | 1.063 | 63632.2 |
294 | 2025-04-18 15:28:56 | preadapted | 1 | 67641 | 3 | 4.483 | 15088.3 |
293 | 2025-04-08 20:45:31 | preadapted | 4 | 161450 | 228 | 52.176 | 3094.3 |
292 | 2025-04-08 01:45:02 | preadapted | 3 | 140603 | 36 | 24.280 | 5790.9 |
291 | 2025-04-08 00:29:44 | preadapted | 3 | 140603 | 36 | 33.843 | 4154.6 |
290 | 2025-04-07 09:03:02 | preadapted | 3 | 140603 | 36 | 32.660 | 4305.1 |
289 | 2025-04-07 04:19:16 | preadapted | 4 | 161450 | 228 | 50.486 | 3197.9 |
288 | 2025-04-06 14:16:34 | preadapted | 3 | 140603 | 36 | 25.406 | 5534.2 |
287 | 2025-04-04 22:37:10 | preadapted | 3 | 140603 | 36 | 41.190 | 3413.5 |
286 | 2025-04-04 16:34:16 | preadapted | 4 | 161450 | 228 | 54.860 | 2942.9 |
285 | 2025-04-03 06:14:56 | preadapted | 3 | 140603 | 36 | 6.983 | 20135.0 |
284 | 2025-04-02 11:55:33 | preadapted | 1 | 67641 | 3 | 4.983 | 13574.4 |
283 | 2025-04-01 21:26:24 | preadapted | 1 | 67641 | 3 | 5.110 | 13237.0 |
282 | 2025-03-31 15:35:38 | preadapted | 3 | 140603 | 36 | 25.440 | 5526.8 |
281 | 2025-03-27 01:59:33 | preadapted | 3 | 140603 | 36 | 38.003 | 3699.8 |