History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"retrained"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
430 | 2025-05-24 14:54:47 | retrained | 1 | 81242 | 7 | 3.856 | 21069.0 |
429 | 2025-05-24 10:30:30 | retrained | 1 | 81242 | 7 | 9.343 | 8695.5 |
428 | 2025-05-23 06:35:08 | retrained | 2 | 121436 | 29 | 9.456 | 12842.2 |
427 | 2025-05-23 06:19:24 | retrained | 3 | 148641 | 171 | 38.533 | 3857.5 |
426 | 2025-05-22 03:03:02 | retrained | 3 | 148641 | 171 | 34.376 | 4324.0 |
425 | 2025-05-20 21:33:40 | retrained | 1 | 81242 | 7 | 2.500 | 32496.8 |
424 | 2025-05-20 16:06:39 | retrained | 3 | 148641 | 171 | 21.766 | 6829.0 |
423 | 2025-05-19 16:48:11 | retrained | 1 | 81242 | 7 | 1.640 | 49537.8 |
422 | 2025-05-15 08:23:48 | retrained | 1 | 81242 | 7 | 1.423 | 57092.1 |
421 | 2025-05-04 06:01:19 | retrained | 1 | 81242 | 7 | 6.436 | 12623.1 |
420 | 2025-05-03 22:03:48 | retrained | 1 | 81242 | 7 | 7.000 | 11606.0 |
419 | 2025-04-29 00:06:21 | retrained | 1 | 81242 | 7 | 1.623 | 50056.7 |
418 | 2025-04-18 15:54:18 | retrained | 1 | 81242 | 7 | 6.203 | 13097.2 |
417 | 2025-04-16 12:45:26 | retrained | 1 | 81242 | 7 | 6.733 | 12066.2 |
416 | 2025-04-07 04:01:49 | retrained | 1 | 81242 | 7 | 7.703 | 10546.8 |
415 | 2025-04-02 05:03:17 | retrained | 1 | 81242 | 7 | 6.906 | 11764.0 |
414 | 2025-03-31 14:13:59 | retrained | 3 | 148641 | 171 | 60.050 | 2475.3 |
413 | 2025-03-24 10:46:48 | retrained | 2 | 121436 | 29 | 18.250 | 6654.0 |
412 | 2025-03-24 10:05:21 | retrained | 3 | 148641 | 171 | 51.223 | 2901.8 |
411 | 2025-03-23 07:58:59 | retrained | 1 | 81242 | 7 | 3.783 | 21475.5 |
410 | 2025-03-21 15:49:23 | retrained | 3 | 148641 | 171 | 20.593 | 7218.0 |
409 | 2025-03-20 11:02:43 | retrained | 3 | 148641 | 171 | 28.050 | 5299.1 |
408 | 2025-03-19 22:20:35 | retrained | 1 | 81242 | 7 | 10.393 | 7817.0 |
407 | 2025-03-17 23:39:24 | retrained | 2 | 121436 | 29 | 16.203 | 7494.7 |
406 | 2025-03-17 20:06:12 | retrained | 1 | 81242 | 7 | 5.970 | 13608.4 |
405 | 2025-03-17 19:23:14 | retrained | 3 | 148641 | 171 | 55.673 | 2669.9 |
404 | 2025-03-17 19:23:19 | retrained | 2 | 121436 | 29 | 37.423 | 3245.0 |
403 | 2025-03-17 13:06:27 | retrained | 3 | 148641 | 171 | 35.316 | 4208.9 |
402 | 2025-03-16 20:43:03 | retrained | 1 | 81242 | 7 | 7.173 | 11326.1 |
401 | 2025-03-16 05:06:05 | retrained | 1 | 81242 | 7 | 9.236 | 8796.2 |
400 | 2025-03-01 17:15:39 | retrained | 1 | 81242 | 7 | 3.813 | 21306.6 |
399 | 2025-02-25 10:59:44 | retrained | 1 | 81242 | 7 | 1.500 | 54161.3 |
398 | 2025-02-15 12:13:46 | retrained | 2 | 121436 | 29 | 17.016 | 7136.6 |
397 | 2025-02-12 18:02:49 | retrained | 3 | 148641 | 171 | 39.990 | 3717.0 |
396 | 2025-02-12 18:02:19 | retrained | 2 | 121436 | 29 | 13.936 | 8713.8 |
395 | 2025-02-12 18:02:17 | retrained | 1 | 81242 | 7 | 6.640 | 12235.2 |
394 | 2025-02-12 04:04:45 | retrained | 3 | 148641 | 171 | 44.646 | 3329.3 |
393 | 2025-02-11 05:56:50 | retrained | 3 | 148641 | 171 | 37.873 | 3924.7 |
392 | 2025-02-11 05:56:48 | retrained | 2 | 121436 | 29 | 10.213 | 11890.3 |
391 | 2025-02-11 05:56:21 | retrained | 1 | 81242 | 7 | 7.516 | 10809.2 |
390 | 2025-02-08 18:05:28 | retrained | 1 | 81242 | 7 | 9.390 | 8652.0 |
389 | 2025-02-05 07:46:26 | retrained | 1 | 81242 | 7 | 7.063 | 11502.5 |
388 | 2025-01-29 18:13:19 | retrained | 1 | 81242 | 7 | 1.500 | 54161.3 |
387 | 2025-01-20 23:40:30 | retrained | 1 | 81242 | 7 | 3.533 | 22995.2 |
386 | 2025-01-12 01:47:14 | retrained | 1 | 81242 | 7 | 5.670 | 14328.4 |
385 | 2025-01-11 09:26:58 | retrained | 2 | 121436 | 29 | 18.566 | 6540.8 |
384 | 2025-01-11 08:44:50 | retrained | 2 | 121436 | 29 | 19.953 | 6086.1 |
383 | 2025-01-11 08:43:50 | retrained | 1 | 81242 | 7 | 6.686 | 12151.1 |
382 | 2025-01-09 15:50:54 | retrained | 1 | 81242 | 7 | 1.486 | 54671.6 |
381 | 2024-12-28 00:48:31 | retrained | 2 | 121436 | 29 | 19.896 | 6103.5 |
380 | 2024-12-27 23:52:00 | retrained | 1 | 81242 | 7 | 4.940 | 16445.7 |
379 | 2024-12-12 20:00:50 | retrained | 3 | 148641 | 171 | 35.596 | 4175.8 |
378 | 2024-12-12 07:16:21 | retrained | 1 | 81242 | 7 | 10.216 | 7952.4 |
377 | 2024-12-10 21:28:03 | retrained | 3 | 148641 | 171 | 44.766 | 3320.4 |
376 | 2024-12-10 21:28:02 | retrained | 2 | 121436 | 29 | 17.843 | 6805.8 |
375 | 2024-12-10 13:02:37 | retrained | 3 | 148641 | 171 | 36.906 | 4027.6 |
374 | 2024-12-10 03:03:03 | retrained | 3 | 148641 | 171 | 28.253 | 5261.1 |
373 | 2024-12-10 03:02:53 | retrained | 2 | 121436 | 29 | 19.343 | 6278.0 |
372 | 2024-12-10 02:26:43 | retrained | 1 | 81242 | 7 | 6.266 | 12965.5 |
371 | 2024-11-27 21:24:10 | retrained | 1 | 81242 | 7 | 1.470 | 55266.7 |
370 | 2024-11-11 04:03:05 | retrained | 1 | 81242 | 7 | 1.266 | 64172.2 |
369 | 2024-11-09 22:30:20 | retrained | 1 | 81242 | 7 | 6.126 | 13261.8 |
368 | 2024-11-09 09:07:46 | retrained | 1 | 81242 | 7 | 3.186 | 25499.7 |
367 | 2024-11-07 08:24:49 | retrained | 3 | 148641 | 171 | 30.956 | 4801.7 |
366 | 2024-11-07 08:24:50 | retrained | 2 | 121436 | 29 | 18.906 | 6423.1 |
365 | 2024-11-07 07:31:21 | retrained | 2 | 121436 | 29 | 17.983 | 6752.8 |
364 | 2024-11-07 07:25:12 | retrained | 3 | 148641 | 171 | 37.296 | 3985.4 |
363 | 2024-11-06 21:00:03 | retrained | 3 | 148641 | 171 | 38.563 | 3854.5 |
362 | 2024-11-06 21:00:02 | retrained | 2 | 121436 | 29 | 21.220 | 5722.7 |
361 | 2024-10-28 04:02:36 | retrained | 1 | 81242 | 7 | 10.016 | 8111.2 |
360 | 2024-10-09 16:02:32 | retrained | 1 | 81242 | 7 | 8.300 | 9788.2 |
359 | 2024-10-09 05:53:20 | retrained | 1 | 81242 | 7 | 3.780 | 21492.6 |
358 | 2024-10-09 03:16:40 | retrained | 1 | 81242 | 7 | 7.123 | 11405.6 |
357 | 2024-10-08 14:18:35 | retrained | 1 | 81242 | 7 | 2.046 | 39707.7 |
356 | 2024-09-21 09:56:47 | retrained | 1 | 81242 | 7 | 12.703 | 6395.5 |
355 | 2024-09-11 00:56:14 | retrained | 1 | 81242 | 7 | 13.643 | 5954.8 |
354 | 2024-09-08 00:58:11 | retrained | 1 | 81242 | 7 | 8.033 | 10113.5 |
353 | 2024-09-04 19:40:46 | retrained | 3 | 148641 | 171 | 25.880 | 5743.5 |
352 | 2024-09-02 17:01:59 | retrained | 3 | 148641 | 171 | 88.673 | 1676.3 |
351 | 2024-08-28 13:23:31 | retrained | 1 | 81242 | 7 | 3.890 | 20884.8 |
350 | 2024-08-24 20:51:02 | retrained | 2 | 121436 | 29 | 28.720 | 4228.3 |
349 | 2024-08-23 20:24:45 | retrained | 3 | 148641 | 171 | 47.420 | 3134.6 |
348 | 2024-08-23 20:24:50 | retrained | 2 | 121436 | 29 | 29.940 | 4056.0 |
347 | 2024-08-23 20:23:00 | retrained | 1 | 81242 | 7 | 5.220 | 15563.6 |
346 | 2024-08-16 15:39:50 | retrained | 1 | 81242 | 7 | 14.686 | 5531.9 |
345 | 2024-08-16 01:51:55 | retrained | 1 | 81242 | 7 | 13.000 | 6249.4 |
344 | 2024-08-15 22:32:20 | retrained | 2 | 121436 | 29 | 28.503 | 4260.5 |
343 | 2024-08-15 22:32:19 | retrained | 2 | 121436 | 29 | 25.266 | 4806.3 |
342 | 2024-08-15 22:17:17 | retrained | 1 | 81242 | 7 | 4.470 | 18174.9 |
341 | 2024-08-12 13:30:38 | retrained | 2 | 121436 | 29 | 30.436 | 3989.9 |
340 | 2024-08-05 23:54:28 | retrained | 1 | 81242 | 7 | 5.110 | 15898.6 |
339 | 2024-08-02 08:50:30 | retrained | 1 | 81242 | 7 | 5.440 | 14934.2 |
338 | 2024-07-17 17:36:54 | retrained | 1 | 81242 | 7 | 2.516 | 32290.1 |
337 | 2024-07-15 02:06:43 | retrained | 3 | 148641 | 171 | 37.333 | 3981.5 |
336 | 2024-07-14 09:12:36 | retrained | 1 | 81242 | 7 | 2.830 | 28707.4 |
335 | 2024-07-14 05:09:34 | retrained | 3 | 148641 | 171 | 26.843 | 5537.4 |
334 | 2024-07-14 01:25:05 | retrained | 2 | 121436 | 29 | 21.970 | 5527.4 |
333 | 2024-07-14 01:21:05 | retrained | 1 | 81242 | 7 | 5.326 | 15253.8 |
332 | 2024-07-13 12:15:09 | retrained | 3 | 148641 | 171 | 39.720 | 3742.2 |
331 | 2024-07-13 03:18:10 | retrained | 3 | 148641 | 171 | 21.456 | 6927.7 |