History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"unlearnt"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
415 | 2025-07-09 04:22:19 | unlearnt | 1 | 82945 | 3 | 1.436 | 57761.1 |
414 | 2025-07-08 16:04:52 | unlearnt | 3 | 146162 | 54 | 35.956 | 4065.0 |
413 | 2025-07-02 08:31:09 | unlearnt | 3 | 146162 | 54 | 39.406 | 3709.1 |
412 | 2025-06-27 10:53:16 | unlearnt | 3 | 146162 | 54 | 34.096 | 4286.8 |
411 | 2025-06-26 04:20:00 | unlearnt | 1 | 82945 | 3 | 6.550 | 12663.4 |
410 | 2025-06-25 23:05:08 | unlearnt | 4 | 161609 | 435 | 54.333 | 2974.4 |
409 | 2025-06-23 05:17:21 | unlearnt | 3 | 146162 | 54 | 7.110 | 20557.2 |
408 | 2025-06-20 22:30:55 | unlearnt | 3 | 146162 | 54 | 36.296 | 4026.9 |
407 | 2025-06-20 12:50:02 | unlearnt | 1 | 82945 | 3 | 1.390 | 59672.7 |
406 | 2025-06-20 10:04:15 | unlearnt | 3 | 146162 | 54 | 46.143 | 3167.6 |
405 | 2025-06-19 06:47:46 | unlearnt | 4 | 161609 | 435 | 11.813 | 13680.6 |
404 | 2025-06-17 15:17:48 | unlearnt | 3 | 146162 | 54 | 7.093 | 20606.5 |
403 | 2025-06-17 05:23:09 | unlearnt | 1 | 82945 | 3 | 1.436 | 57761.1 |
402 | 2025-06-14 13:53:16 | unlearnt | 3 | 146162 | 54 | 41.660 | 3508.4 |
401 | 2025-06-11 09:30:59 | unlearnt | 3 | 146162 | 54 | 36.686 | 3984.1 |
400 | 2025-06-10 17:32:29 | unlearnt | 3 | 146162 | 54 | 40.206 | 3635.3 |
399 | 2025-06-08 15:53:27 | unlearnt | 3 | 146162 | 54 | 35.953 | 4065.4 |
398 | 2025-06-05 00:29:14 | unlearnt | 3 | 146162 | 54 | 41.613 | 3512.4 |
397 | 2025-06-04 19:03:37 | unlearnt | 3 | 146162 | 54 | 30.140 | 4849.4 |
396 | 2025-06-04 15:31:41 | unlearnt | 3 | 146162 | 54 | 40.593 | 3600.7 |
395 | 2025-06-03 10:33:07 | unlearnt | 3 | 146162 | 54 | 6.860 | 21306.4 |
394 | 2025-06-03 04:50:45 | unlearnt | 2 | 121059 | 8 | 3.830 | 31608.1 |
393 | 2025-06-03 00:42:23 | unlearnt | 4 | 161609 | 435 | 14.563 | 11097.2 |
392 | 2025-06-01 17:45:45 | unlearnt | 4 | 161609 | 435 | 11.186 | 14447.4 |
391 | 2025-06-01 09:58:05 | unlearnt | 4 | 161609 | 435 | 79.440 | 2034.4 |
390 | 2025-05-27 13:47:06 | unlearnt | 4 | 161609 | 435 | 53.520 | 3019.6 |
389 | 2025-05-25 17:43:57 | unlearnt | 4 | 161609 | 435 | 13.140 | 12299.0 |
388 | 2025-05-25 15:53:01 | unlearnt | 4 | 161609 | 435 | 12.296 | 13143.2 |
387 | 2025-05-25 01:20:58 | unlearnt | 4 | 161609 | 435 | 17.843 | 9057.3 |
386 | 2025-05-21 15:41:58 | unlearnt | 4 | 161609 | 435 | 11.563 | 13976.4 |
385 | 2025-05-18 08:53:21 | unlearnt | 2 | 121059 | 8 | 20.826 | 5812.9 |
384 | 2025-05-17 07:04:12 | unlearnt | 3 | 146162 | 54 | 7.533 | 19402.9 |
383 | 2025-05-17 06:58:28 | unlearnt | 1 | 82945 | 3 | 1.423 | 58288.8 |
382 | 2025-05-15 02:52:25 | unlearnt | 3 | 146162 | 54 | 18.923 | 7724.0 |
381 | 2025-05-15 00:23:06 | unlearnt | 3 | 146162 | 54 | 46.953 | 3112.9 |
380 | 2025-05-14 11:18:09 | unlearnt | 3 | 146162 | 54 | 37.063 | 3943.6 |
379 | 2025-05-12 16:14:19 | unlearnt | 1 | 82945 | 3 | 5.360 | 15474.8 |
378 | 2025-05-12 14:08:42 | unlearnt | 3 | 146162 | 54 | 36.000 | 4060.1 |
377 | 2025-05-08 14:19:26 | unlearnt | 4 | 161609 | 435 | 72.693 | 2223.2 |
376 | 2025-05-07 19:23:55 | unlearnt | 4 | 161609 | 435 | 11.610 | 13919.8 |
375 | 2025-05-07 01:23:29 | unlearnt | 4 | 161609 | 435 | 11.376 | 14206.1 |
374 | 2025-05-06 16:10:47 | unlearnt | 4 | 161609 | 435 | 76.693 | 2107.2 |
373 | 2025-05-06 00:11:49 | unlearnt | 4 | 161609 | 435 | 62.823 | 2572.4 |
372 | 2025-05-04 22:10:25 | unlearnt | 4 | 161609 | 435 | 41.160 | 3926.4 |
371 | 2025-05-04 13:36:03 | unlearnt | 4 | 161609 | 435 | 62.176 | 2599.2 |
370 | 2025-05-02 09:52:15 | unlearnt | 4 | 161609 | 435 | 51.566 | 3134.0 |
369 | 2025-05-01 18:47:15 | unlearnt | 4 | 161609 | 435 | 11.563 | 13976.4 |
368 | 2025-04-30 08:41:17 | unlearnt | 4 | 161609 | 435 | 59.296 | 2725.5 |
367 | 2025-04-24 21:46:26 | unlearnt | 4 | 161609 | 435 | 10.906 | 14818.4 |
366 | 2025-04-23 23:17:07 | unlearnt | 4 | 161609 | 435 | 50.126 | 3224.1 |
365 | 2025-04-23 02:56:17 | unlearnt | 1 | 82945 | 3 | 3.360 | 24686.0 |
364 | 2025-04-23 02:52:37 | unlearnt | 4 | 161609 | 435 | 61.196 | 2640.8 |
363 | 2025-04-17 23:36:27 | unlearnt | 1 | 82945 | 3 | 6.533 | 12696.3 |
362 | 2025-04-16 22:22:05 | unlearnt | 4 | 161609 | 435 | 12.203 | 13243.4 |
361 | 2025-04-13 14:30:26 | unlearnt | 4 | 161609 | 435 | 20.080 | 8048.3 |
360 | 2025-04-11 17:12:30 | unlearnt | 1 | 82945 | 3 | 7.860 | 10552.8 |
359 | 2025-04-06 00:10:50 | unlearnt | 1 | 82945 | 3 | 4.250 | 19516.5 |
358 | 2025-04-03 23:59:16 | unlearnt | 4 | 161609 | 435 | 106.067 | 1523.7 |
357 | 2025-04-01 11:19:50 | unlearnt | 4 | 161609 | 435 | 12.763 | 12662.3 |
356 | 2025-03-30 14:07:38 | unlearnt | 4 | 161609 | 435 | 59.690 | 2707.5 |
355 | 2025-03-26 03:05:21 | unlearnt | 2 | 121059 | 8 | 23.033 | 5255.9 |
354 | 2025-03-17 23:38:16 | unlearnt | 1 | 82945 | 3 | 6.296 | 13174.2 |
353 | 2025-03-17 23:37:32 | unlearnt | 2 | 121059 | 8 | 12.940 | 9355.4 |
352 | 2025-03-17 20:54:34 | unlearnt | 1 | 82945 | 3 | 10.360 | 8006.3 |
351 | 2025-03-13 15:24:18 | unlearnt | 2 | 121059 | 8 | 11.313 | 10700.9 |
350 | 2025-03-12 06:20:19 | unlearnt | 2 | 121059 | 8 | 19.063 | 6350.5 |
349 | 2025-03-12 06:19:49 | unlearnt | 1 | 82945 | 3 | 4.030 | 20581.9 |
348 | 2025-03-04 08:23:47 | unlearnt | 4 | 161609 | 435 | 60.440 | 2673.9 |
347 | 2025-03-03 15:44:03 | unlearnt | 3 | 146162 | 54 | 25.830 | 5658.6 |
346 | 2025-03-03 11:14:35 | unlearnt | 4 | 161609 | 435 | 56.173 | 2877.0 |
345 | 2025-03-03 08:59:27 | unlearnt | 1 | 82945 | 3 | 4.046 | 20500.5 |
344 | 2025-03-03 01:19:56 | unlearnt | 4 | 161609 | 435 | 43.220 | 3739.2 |
343 | 2025-02-28 00:58:46 | unlearnt | 3 | 146162 | 54 | 28.123 | 5197.2 |
342 | 2025-02-27 21:54:01 | unlearnt | 3 | 146162 | 54 | 37.926 | 3853.9 |
341 | 2025-02-27 21:53:59 | unlearnt | 3 | 146162 | 54 | 24.016 | 6086.0 |
340 | 2025-02-27 18:55:14 | unlearnt | 4 | 161609 | 435 | 87.036 | 1856.8 |
339 | 2025-02-27 18:56:01 | unlearnt | 1 | 82945 | 3 | 6.156 | 13473.8 |
338 | 2025-02-27 18:55:12 | unlearnt | 3 | 146162 | 54 | 34.393 | 4249.8 |
337 | 2025-02-27 18:55:12 | unlearnt | 2 | 121059 | 8 | 18.330 | 6604.4 |
336 | 2025-02-26 16:50:48 | unlearnt | 1 | 82945 | 3 | 4.610 | 17992.4 |
335 | 2025-02-08 17:32:52 | unlearnt | 2 | 121059 | 8 | 9.173 | 13197.3 |
334 | 2025-02-08 17:32:36 | unlearnt | 1 | 82945 | 3 | 2.546 | 32578.6 |
333 | 2025-02-07 18:38:05 | unlearnt | 4 | 161609 | 435 | 58.240 | 2774.9 |
332 | 2025-02-06 11:39:46 | unlearnt | 4 | 161609 | 435 | 23.626 | 6840.3 |
331 | 2025-01-31 09:03:17 | unlearnt | 3 | 146162 | 54 | 24.256 | 6025.8 |
330 | 2025-01-27 20:32:12 | unlearnt | 1 | 82945 | 3 | 6.470 | 12819.9 |
329 | 2025-01-27 10:57:54 | unlearnt | 3 | 146162 | 54 | 40.203 | 3635.6 |
328 | 2025-01-26 23:53:30 | unlearnt | 2 | 121059 | 8 | 19.736 | 6133.9 |
327 | 2025-01-26 23:53:29 | unlearnt | 1 | 82945 | 3 | 4.610 | 17992.4 |
326 | 2025-01-26 23:42:36 | unlearnt | 3 | 146162 | 54 | 8.346 | 17512.8 |
325 | 2025-01-26 03:28:37 | unlearnt | 2 | 121059 | 8 | 9.000 | 13451.0 |
324 | 2025-01-25 22:16:58 | unlearnt | 2 | 121059 | 8 | 8.563 | 14137.5 |
323 | 2025-01-25 22:16:52 | unlearnt | 1 | 82945 | 3 | 3.780 | 21943.1 |
322 | 2025-01-25 21:17:41 | unlearnt | 4 | 161609 | 435 | 12.330 | 13107.0 |
321 | 2025-01-24 18:28:38 | unlearnt | 3 | 146162 | 54 | 7.860 | 18595.7 |
320 | 2025-01-23 23:22:04 | unlearnt | 3 | 146162 | 54 | 37.753 | 3871.5 |
319 | 2025-01-15 21:40:23 | unlearnt | 4 | 161609 | 435 | 63.800 | 2533.1 |
318 | 2025-01-15 21:40:10 | unlearnt | 3 | 146162 | 54 | 35.970 | 4063.4 |
317 | 2024-12-31 17:24:01 | unlearnt | 4 | 161609 | 435 | 52.426 | 3082.6 |
316 | 2024-12-26 17:11:54 | unlearnt | 1 | 82945 | 3 | 3.450 | 24042.0 |