History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"pretrained"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
522 | 2025-05-29 11:16:57 | pretrained | 4 | 161450 | 381 | 49.750 | 3245.2 |
521 | 2025-05-28 06:28:11 | pretrained | 1 | 67641 | 2 | 1.313 | 51516.4 |
520 | 2025-05-26 20:04:43 | pretrained | 2 | 108824 | 11 | 21.173 | 5139.8 |
519 | 2025-05-26 05:38:30 | pretrained | 1 | 67641 | 2 | 6.140 | 11016.4 |
518 | 2025-05-25 14:28:18 | pretrained | 1 | 67641 | 2 | 2.110 | 32057.3 |
517 | 2025-05-24 14:45:59 | pretrained | 2 | 108824 | 11 | 14.623 | 7442.0 |
516 | 2025-05-23 01:59:07 | pretrained | 1 | 67641 | 2 | 1.110 | 60937.8 |
515 | 2025-05-22 19:11:28 | pretrained | 1 | 67641 | 2 | 1.186 | 57032.9 |
514 | 2025-05-21 11:03:27 | pretrained | 1 | 67641 | 2 | 1.186 | 57032.9 |
513 | 2025-05-21 04:38:50 | pretrained | 1 | 67641 | 2 | 1.530 | 44209.8 |
512 | 2025-05-18 15:12:46 | pretrained | 1 | 67641 | 2 | 5.190 | 13032.9 |
511 | 2025-05-18 02:50:31 | pretrained | 1 | 67641 | 2 | 5.110 | 13237.0 |
510 | 2025-05-17 01:35:34 | pretrained | 3 | 140603 | 58 | 15.360 | 9153.8 |
509 | 2025-05-17 01:06:18 | pretrained | 1 | 67641 | 2 | 8.270 | 8179.1 |
508 | 2025-05-15 15:32:10 | pretrained | 3 | 140603 | 58 | 13.003 | 10813.1 |
507 | 2025-05-12 05:00:00 | pretrained | 2 | 108824 | 11 | 13.250 | 8213.1 |
506 | 2025-05-12 00:13:21 | pretrained | 3 | 140603 | 58 | 30.160 | 4661.9 |
505 | 2025-05-11 10:19:43 | pretrained | 1 | 67641 | 2 | 2.436 | 27767.2 |
504 | 2025-05-09 10:21:50 | pretrained | 4 | 161450 | 381 | 10.813 | 14931.1 |
503 | 2025-05-06 18:41:56 | pretrained | 1 | 67641 | 2 | 6.656 | 10162.4 |
502 | 2025-05-05 20:09:32 | pretrained | 1 | 67641 | 2 | 5.283 | 12803.5 |
501 | 2025-05-05 00:16:56 | pretrained | 4 | 161450 | 381 | 44.376 | 3638.2 |
500 | 2025-04-30 03:49:24 | pretrained | 1 | 67641 | 2 | 2.780 | 24331.3 |
499 | 2025-04-28 07:31:42 | pretrained | 4 | 161450 | 381 | 52.236 | 3090.8 |
498 | 2025-04-28 03:43:37 | pretrained | 4 | 161450 | 381 | 64.463 | 2504.5 |
497 | 2025-04-26 17:53:20 | pretrained | 4 | 161450 | 381 | 68.723 | 2349.3 |
496 | 2025-04-25 04:18:06 | pretrained | 1 | 67641 | 2 | 1.236 | 54725.7 |
495 | 2025-04-17 12:37:37 | pretrained | 2 | 108824 | 11 | 5.813 | 18720.8 |
494 | 2025-04-16 06:36:46 | pretrained | 2 | 108824 | 11 | 10.703 | 10167.6 |
493 | 2025-04-15 19:02:00 | pretrained | 1 | 67641 | 2 | 1.203 | 56226.9 |
492 | 2025-04-14 19:09:28 | pretrained | 3 | 140603 | 58 | 6.610 | 21271.3 |
491 | 2025-04-11 20:20:36 | pretrained | 3 | 140603 | 58 | 50.063 | 2808.5 |
490 | 2025-04-06 00:29:35 | pretrained | 1 | 67641 | 2 | 6.970 | 9704.6 |
489 | 2025-04-04 00:44:15 | pretrained | 4 | 161450 | 381 | 41.430 | 3896.9 |
488 | 2025-04-02 05:48:44 | pretrained | 4 | 161450 | 381 | 65.813 | 2453.2 |
487 | 2025-03-31 07:38:11 | pretrained | 4 | 161450 | 381 | 46.883 | 3443.7 |
486 | 2025-03-28 18:54:33 | pretrained | 3 | 140603 | 58 | 6.766 | 20780.8 |
485 | 2025-03-25 10:00:22 | pretrained | 4 | 161450 | 381 | 51.003 | 3165.5 |
484 | 2025-03-25 07:53:58 | pretrained | 1 | 67641 | 2 | 8.156 | 8293.4 |
483 | 2025-03-23 06:24:45 | pretrained | 1 | 67641 | 2 | 5.466 | 12374.9 |
482 | 2025-03-23 02:05:34 | pretrained | 4 | 161450 | 381 | 56.800 | 2842.4 |
481 | 2025-03-22 04:04:24 | pretrained | 4 | 161450 | 381 | 38.486 | 4195.0 |
480 | 2025-03-17 19:35:28 | pretrained | 2 | 108824 | 11 | 16.140 | 6742.5 |
479 | 2025-03-13 00:44:15 | pretrained | 4 | 161450 | 381 | 58.393 | 2764.9 |
478 | 2025-03-11 13:45:14 | pretrained | 1 | 67641 | 2 | 1.220 | 55443.4 |
477 | 2025-03-07 23:13:00 | pretrained | 1 | 67641 | 2 | 5.393 | 12542.4 |
476 | 2025-03-01 23:47:49 | pretrained | 3 | 140603 | 58 | 23.080 | 6092.0 |
475 | 2025-03-01 18:08:01 | pretrained | 3 | 140603 | 58 | 40.096 | 3506.7 |
474 | 2025-02-25 11:00:18 | pretrained | 1 | 67641 | 2 | 1.156 | 58513.0 |
473 | 2025-02-23 10:13:18 | pretrained | 3 | 140603 | 58 | 34.830 | 4036.8 |
472 | 2025-02-23 10:13:12 | pretrained | 2 | 108824 | 11 | 10.513 | 10351.4 |
471 | 2025-02-21 05:56:14 | pretrained | 3 | 140603 | 58 | 25.063 | 5610.0 |
470 | 2025-02-21 04:35:39 | pretrained | 3 | 140603 | 58 | 35.690 | 3939.6 |
469 | 2025-02-20 15:06:28 | pretrained | 1 | 67641 | 2 | 5.250 | 12884.0 |
468 | 2025-02-20 07:42:02 | pretrained | 3 | 140603 | 58 | 31.893 | 4408.6 |
467 | 2025-02-20 04:12:58 | pretrained | 4 | 161450 | 381 | 61.500 | 2625.2 |
466 | 2025-02-20 04:12:55 | pretrained | 3 | 140603 | 58 | 32.360 | 4345.0 |
465 | 2025-02-20 04:12:50 | pretrained | 2 | 108824 | 11 | 15.936 | 6828.8 |
464 | 2025-02-20 04:10:31 | pretrained | 1 | 67641 | 2 | 5.826 | 11610.2 |
463 | 2025-02-05 08:46:26 | pretrained | 1 | 67641 | 2 | 1.220 | 55443.4 |
462 | 2025-01-29 18:13:29 | pretrained | 1 | 67641 | 2 | 1.170 | 57812.8 |
461 | 2025-01-14 06:58:58 | pretrained | 1 | 67641 | 2 | 2.483 | 27241.6 |
460 | 2025-01-14 00:24:34 | pretrained | 3 | 140603 | 58 | 11.813 | 11902.4 |
459 | 2025-01-12 16:22:55 | pretrained | 2 | 108824 | 11 | 24.486 | 4444.3 |
458 | 2025-01-11 00:23:59 | pretrained | 2 | 108824 | 11 | 16.470 | 6607.4 |
457 | 2025-01-11 00:22:39 | pretrained | 1 | 67641 | 2 | 2.983 | 22675.5 |
456 | 2025-01-09 15:55:14 | pretrained | 1 | 67641 | 2 | 6.283 | 10765.7 |
455 | 2024-12-28 00:57:07 | pretrained | 3 | 140603 | 58 | 51.313 | 2740.1 |
454 | 2024-12-28 00:57:09 | pretrained | 2 | 108824 | 11 | 16.270 | 6688.6 |
453 | 2024-12-27 23:50:40 | pretrained | 1 | 67641 | 2 | 1.250 | 54112.8 |
452 | 2024-12-23 18:59:21 | pretrained | 3 | 140603 | 58 | 35.220 | 3992.1 |
451 | 2024-12-19 11:52:33 | pretrained | 3 | 140603 | 58 | 24.160 | 5819.7 |
450 | 2024-12-18 19:43:32 | pretrained | 3 | 140603 | 58 | 17.376 | 8091.8 |
449 | 2024-12-14 23:24:01 | pretrained | 1 | 67641 | 2 | 7.110 | 9513.5 |
448 | 2024-11-28 04:13:35 | pretrained | 1 | 67641 | 2 | 5.530 | 12231.6 |
447 | 2024-11-27 21:24:15 | pretrained | 1 | 67641 | 2 | 1.233 | 54858.9 |
446 | 2024-11-24 22:11:21 | pretrained | 3 | 140603 | 58 | 34.376 | 4090.2 |
445 | 2024-11-10 05:33:50 | pretrained | 3 | 140603 | 58 | 35.250 | 3988.7 |
444 | 2024-11-10 05:33:45 | pretrained | 2 | 108824 | 11 | 15.376 | 7077.5 |
443 | 2024-11-09 13:55:44 | pretrained | 1 | 67641 | 2 | 6.546 | 10333.2 |
442 | 2024-11-07 07:31:26 | pretrained | 3 | 140603 | 58 | 36.000 | 3905.6 |
441 | 2024-11-07 07:31:33 | pretrained | 2 | 108824 | 11 | 13.343 | 8155.9 |
440 | 2024-11-07 07:31:06 | pretrained | 1 | 67641 | 2 | 3.280 | 20622.3 |
439 | 2024-11-05 22:20:02 | pretrained | 4 | 161450 | 381 | 78.723 | 2050.9 |
438 | 2024-11-04 15:14:20 | pretrained | 4 | 161450 | 381 | 46.346 | 3483.6 |
437 | 2024-11-04 08:34:01 | pretrained | 4 | 161450 | 381 | 83.303 | 1938.1 |
436 | 2024-10-28 01:35:04 | pretrained | 1 | 67641 | 2 | 1.110 | 60937.8 |
435 | 2024-10-27 11:25:55 | pretrained | 1 | 67641 | 2 | 5.470 | 12365.8 |
434 | 2024-09-28 07:31:20 | pretrained | 4 | 161450 | 381 | 108.826 | 1483.6 |
433 | 2024-09-27 04:17:25 | pretrained | 1 | 67641 | 2 | 8.546 | 7914.9 |
432 | 2024-09-27 03:18:43 | pretrained | 4 | 161450 | 381 | 120.130 | 1344.0 |
431 | 2024-09-26 02:01:35 | pretrained | 4 | 161450 | 381 | 94.520 | 1708.1 |
430 | 2024-09-24 08:57:38 | pretrained | 1 | 67641 | 2 | 8.486 | 7970.9 |
429 | 2024-09-18 12:07:45 | pretrained | 3 | 140603 | 58 | 27.580 | 5098.0 |
428 | 2024-09-18 08:38:18 | pretrained | 3 | 140603 | 58 | 25.893 | 5430.2 |
427 | 2024-09-18 08:38:19 | pretrained | 2 | 108824 | 11 | 20.626 | 5276.1 |
426 | 2024-09-18 08:36:47 | pretrained | 1 | 67641 | 2 | 1.236 | 54725.7 |
425 | 2024-09-15 09:52:03 | pretrained | 3 | 140603 | 58 | 73.223 | 1920.2 |
424 | 2024-08-25 20:49:33 | pretrained | 1 | 67641 | 2 | 11.250 | 6012.5 |
423 | 2024-08-25 20:45:50 | pretrained | 1 | 67641 | 2 | 6.686 | 10116.8 |