History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"unlearned"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
411 | 2025-08-27 15:21:59 | unlearned | 1 | 81242 | 2 | 1.313 | 61875.1 |
410 | 2025-08-25 20:55:12 | unlearned | 3 | 148641 | 120 | 35.110 | 4233.6 |
409 | 2025-08-22 10:14:50 | unlearned | 1 | 81242 | 2 | 1.390 | 58447.5 |
408 | 2025-08-15 17:25:20 | unlearned | 3 | 148641 | 120 | 26.250 | 5662.5 |
407 | 2025-08-12 00:37:58 | unlearned | 1 | 81242 | 2 | 6.186 | 13133.2 |
406 | 2025-08-11 23:49:30 | unlearned | 3 | 148641 | 120 | 17.546 | 8471.5 |
405 | 2025-08-11 10:50:43 | unlearned | 1 | 81242 | 2 | 5.076 | 16005.1 |
404 | 2025-08-09 13:23:45 | unlearned | 1 | 81242 | 2 | 6.156 | 13197.2 |
403 | 2025-08-07 16:59:05 | unlearned | 1 | 81242 | 2 | 2.953 | 27511.7 |
402 | 2025-08-06 16:59:02 | unlearned | 2 | 121436 | 22 | 24.703 | 4915.8 |
401 | 2025-08-06 16:20:06 | unlearned | 3 | 148641 | 120 | 18.470 | 8047.7 |
400 | 2025-08-06 01:00:17 | unlearned | 2 | 121436 | 22 | 14.846 | 8179.7 |
399 | 2025-08-06 00:20:51 | unlearned | 3 | 148641 | 120 | 17.720 | 8388.3 |
398 | 2025-08-04 12:29:53 | unlearned | 1 | 81242 | 2 | 4.906 | 16559.7 |
397 | 2025-08-02 00:03:48 | unlearned | 1 | 81242 | 2 | 5.033 | 16141.9 |
396 | 2025-08-01 15:49:33 | unlearned | 1 | 81242 | 2 | 5.890 | 13793.2 |
395 | 2025-07-31 20:46:09 | unlearned | 1 | 81242 | 2 | 4.750 | 17103.6 |
394 | 2025-07-28 10:30:07 | unlearned | 1 | 81242 | 2 | 6.406 | 12682.2 |
393 | 2025-07-27 00:09:09 | unlearned | 1 | 81242 | 2 | 3.970 | 20464.0 |
392 | 2025-07-24 22:38:11 | unlearned | 1 | 81242 | 2 | 4.780 | 16996.2 |
391 | 2025-07-22 04:47:40 | unlearned | 1 | 81242 | 2 | 1.403 | 57905.9 |
390 | 2025-07-20 21:59:20 | unlearned | 1 | 81242 | 2 | 2.873 | 28277.8 |
389 | 2025-07-18 20:18:30 | unlearned | 1 | 81242 | 2 | 3.250 | 24997.5 |
388 | 2025-07-13 14:16:35 | unlearned | 1 | 81242 | 2 | 1.453 | 55913.3 |
387 | 2025-07-12 01:58:20 | unlearned | 1 | 81242 | 2 | 1.390 | 58447.5 |
386 | 2025-07-10 04:11:37 | unlearned | 1 | 81242 | 2 | 9.016 | 9010.9 |
385 | 2025-07-06 02:55:57 | unlearned | 1 | 81242 | 2 | 1.283 | 63321.9 |
384 | 2025-06-30 02:07:17 | unlearned | 1 | 81242 | 2 | 7.423 | 10944.6 |
383 | 2025-06-27 06:49:43 | unlearned | 1 | 81242 | 2 | 6.560 | 12384.5 |
382 | 2025-06-25 11:41:35 | unlearned | 3 | 148641 | 120 | 7.343 | 20242.5 |
381 | 2025-06-25 03:45:51 | unlearned | 2 | 121436 | 22 | 23.440 | 5180.7 |
380 | 2025-06-23 19:54:42 | unlearned | 1 | 81242 | 2 | 1.420 | 57212.7 |
379 | 2025-06-20 06:27:08 | unlearned | 1 | 81242 | 2 | 6.750 | 12035.9 |
378 | 2025-06-18 15:33:33 | unlearned | 1 | 81242 | 2 | 7.046 | 11530.2 |
377 | 2025-06-12 03:06:30 | unlearned | 3 | 148641 | 120 | 29.350 | 5064.4 |
376 | 2025-06-11 08:48:25 | unlearned | 1 | 81242 | 2 | 6.593 | 12322.5 |
375 | 2025-06-10 22:16:12 | unlearned | 1 | 81242 | 2 | 6.623 | 12266.6 |
374 | 2025-06-10 17:04:51 | unlearned | 3 | 148641 | 120 | 19.923 | 7460.8 |
373 | 2025-06-06 13:51:28 | unlearned | 1 | 81242 | 2 | 3.390 | 23965.2 |
372 | 2025-06-05 03:37:10 | unlearned | 3 | 148641 | 120 | 26.376 | 5635.5 |
371 | 2025-06-04 14:57:48 | unlearned | 1 | 81242 | 2 | 6.563 | 12378.8 |
370 | 2025-05-30 02:35:53 | unlearned | 1 | 81242 | 2 | 1.420 | 57212.7 |
369 | 2025-05-27 06:18:53 | unlearned | 3 | 148641 | 120 | 21.923 | 6780.1 |
368 | 2025-05-26 13:30:37 | unlearned | 1 | 81242 | 2 | 3.296 | 24648.7 |
367 | 2025-05-26 04:20:20 | unlearned | 1 | 81242 | 2 | 6.593 | 12322.5 |
366 | 2025-05-25 11:50:57 | unlearned | 3 | 148641 | 120 | 7.346 | 20234.3 |
365 | 2025-05-25 03:21:15 | unlearned | 2 | 121436 | 22 | 9.906 | 12258.8 |
364 | 2025-05-23 19:31:31 | unlearned | 1 | 81242 | 2 | 6.576 | 12354.3 |
363 | 2025-05-23 02:56:51 | unlearned | 1 | 81242 | 2 | 6.500 | 12498.8 |
362 | 2025-05-16 02:05:07 | unlearned | 2 | 121436 | 22 | 14.393 | 8437.2 |
361 | 2025-05-15 15:38:48 | unlearned | 1 | 81242 | 2 | 3.750 | 21664.5 |
360 | 2025-05-10 21:51:15 | unlearned | 1 | 81242 | 2 | 3.623 | 22424.0 |
359 | 2025-05-10 16:26:13 | unlearned | 1 | 81242 | 2 | 3.753 | 21647.2 |
358 | 2025-05-02 21:13:09 | unlearned | 3 | 148641 | 120 | 41.066 | 3619.6 |
357 | 2025-05-02 17:06:18 | unlearned | 1 | 81242 | 2 | 5.266 | 15427.6 |
356 | 2025-04-30 17:06:19 | unlearned | 3 | 148641 | 120 | 27.813 | 5344.3 |
355 | 2025-04-25 10:27:39 | unlearned | 3 | 148641 | 120 | 30.986 | 4797.0 |
354 | 2025-04-25 02:39:52 | unlearned | 2 | 121436 | 22 | 14.126 | 8596.6 |
353 | 2025-04-22 19:27:04 | unlearned | 1 | 81242 | 2 | 3.843 | 21140.3 |
352 | 2025-04-05 01:55:08 | unlearned | 2 | 121436 | 22 | 3.546 | 34245.9 |
351 | 2025-04-02 13:05:29 | unlearned | 1 | 81242 | 2 | 4.846 | 16764.8 |
350 | 2025-03-28 12:00:44 | unlearned | 3 | 148641 | 120 | 33.470 | 4441.0 |
349 | 2025-03-24 09:36:48 | unlearned | 2 | 121436 | 22 | 17.860 | 6799.3 |
348 | 2025-03-24 09:14:46 | unlearned | 3 | 148641 | 120 | 18.670 | 7961.5 |
347 | 2025-03-23 13:04:41 | unlearned | 1 | 81242 | 2 | 9.766 | 8318.9 |
346 | 2025-03-21 20:24:28 | unlearned | 1 | 81242 | 2 | 2.453 | 33119.4 |
345 | 2025-03-20 17:47:05 | unlearned | 1 | 81242 | 2 | 3.343 | 24302.1 |
344 | 2025-03-19 13:52:45 | unlearned | 1 | 81242 | 2 | 1.313 | 61875.1 |
343 | 2025-03-04 14:47:05 | unlearned | 3 | 148641 | 120 | 27.360 | 5432.8 |
342 | 2025-03-04 14:47:04 | unlearned | 2 | 121436 | 22 | 17.890 | 6787.9 |
341 | 2025-03-04 14:45:09 | unlearned | 1 | 81242 | 2 | 6.533 | 12435.6 |
340 | 2025-02-05 23:32:26 | unlearned | 1 | 81242 | 2 | 1.360 | 59736.8 |
339 | 2025-02-01 02:57:19 | unlearned | 1 | 81242 | 2 | 4.673 | 17385.4 |
338 | 2025-01-27 20:18:06 | unlearned | 1 | 81242 | 2 | 1.203 | 67532.8 |
337 | 2025-01-25 16:27:13 | unlearned | 1 | 81242 | 2 | 3.656 | 22221.6 |
336 | 2025-01-24 19:02:52 | unlearned | 2 | 121436 | 22 | 5.560 | 21841.0 |
335 | 2025-01-16 17:16:12 | unlearned | 3 | 148641 | 120 | 36.236 | 4102.0 |
334 | 2025-01-06 23:39:17 | unlearned | 2 | 121436 | 22 | 23.393 | 5191.1 |
333 | 2025-01-04 16:03:43 | unlearned | 2 | 121436 | 22 | 20.050 | 6056.7 |
332 | 2024-12-31 22:46:01 | unlearned | 1 | 81242 | 2 | 3.310 | 24544.4 |
331 | 2024-12-31 21:14:49 | unlearned | 2 | 121436 | 22 | 17.830 | 6810.8 |
330 | 2024-12-31 21:11:53 | unlearned | 1 | 81242 | 2 | 2.533 | 32073.4 |
329 | 2024-12-30 15:00:14 | unlearned | 3 | 148641 | 120 | 34.346 | 4327.8 |
328 | 2024-12-26 07:38:30 | unlearned | 1 | 81242 | 2 | 6.093 | 13333.7 |
327 | 2024-12-26 03:15:29 | unlearned | 3 | 148641 | 120 | 28.720 | 5175.5 |
326 | 2024-12-24 11:50:21 | unlearned | 3 | 148641 | 120 | 33.263 | 4468.7 |
325 | 2024-12-21 14:23:47 | unlearned | 3 | 148641 | 120 | 27.113 | 5482.3 |
324 | 2024-11-29 15:52:00 | unlearned | 1 | 81242 | 2 | 8.423 | 9645.3 |
323 | 2024-11-28 11:56:51 | unlearned | 1 | 81242 | 2 | 1.453 | 55913.3 |
322 | 2024-11-23 13:31:46 | unlearned | 1 | 81242 | 2 | 3.140 | 25873.2 |
321 | 2024-11-22 23:21:25 | unlearned | 2 | 121436 | 22 | 8.906 | 13635.3 |
320 | 2024-11-21 08:49:23 | unlearned | 3 | 148641 | 120 | 42.660 | 3484.3 |
319 | 2024-11-20 12:30:20 | unlearned | 3 | 148641 | 120 | 35.800 | 4152.0 |
318 | 2024-11-20 12:30:17 | unlearned | 2 | 121436 | 22 | 16.893 | 7188.5 |
317 | 2024-11-20 03:20:22 | unlearned | 3 | 148641 | 120 | 45.630 | 3257.5 |
316 | 2024-11-20 03:20:28 | unlearned | 2 | 121436 | 22 | 16.440 | 7386.6 |
315 | 2024-11-20 03:09:11 | unlearned | 1 | 81242 | 2 | 6.673 | 12174.7 |
314 | 2024-10-26 13:02:06 | unlearned | 3 | 148641 | 120 | 47.063 | 3158.3 |
313 | 2024-10-26 09:07:23 | unlearned | 1 | 81242 | 2 | 6.703 | 12120.2 |
312 | 2024-10-26 01:14:57 | unlearned | 1 | 81242 | 2 | 4.920 | 16512.6 |