History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"normalized"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
534 | 2025-07-05 19:31:50 | normalized | 2 | 108824 | 15 | 3.346 | 32523.6 |
533 | 2025-07-05 01:42:22 | normalized | 1 | 67641 | 6 | 2.796 | 24192.1 |
532 | 2025-07-02 15:12:16 | normalized | 3 | 140603 | 55 | 44.080 | 3189.7 |
531 | 2025-07-01 14:45:29 | normalized | 3 | 140603 | 55 | 6.266 | 22439.0 |
530 | 2025-07-01 03:26:01 | normalized | 2 | 108824 | 15 | 3.233 | 33660.4 |
529 | 2025-07-01 00:41:58 | normalized | 3 | 140603 | 55 | 9.373 | 15000.9 |
528 | 2025-06-30 16:21:16 | normalized | 2 | 108824 | 15 | 13.253 | 8211.3 |
527 | 2025-06-30 11:13:20 | normalized | 1 | 67641 | 6 | 4.046 | 16718.0 |
526 | 2025-06-29 20:31:40 | normalized | 3 | 140603 | 55 | 32.970 | 4264.6 |
525 | 2025-06-18 16:23:11 | normalized | 1 | 67641 | 6 | 5.343 | 12659.7 |
524 | 2025-06-18 13:35:41 | normalized | 1 | 67641 | 6 | 4.860 | 13917.9 |
523 | 2025-06-08 10:03:21 | normalized | 2 | 108824 | 15 | 15.033 | 7239.0 |
522 | 2025-06-08 03:21:42 | normalized | 3 | 140603 | 55 | 37.740 | 3725.6 |
521 | 2025-06-07 08:20:06 | normalized | 1 | 67641 | 6 | 1.140 | 59334.2 |
520 | 2025-06-07 06:48:32 | normalized | 1 | 67641 | 6 | 2.940 | 23007.1 |
519 | 2025-05-29 01:35:15 | normalized | 1 | 67641 | 6 | 2.700 | 25052.2 |
518 | 2025-05-25 21:35:05 | normalized | 1 | 67641 | 6 | 2.843 | 23792.1 |
517 | 2025-05-24 11:11:12 | normalized | 1 | 67641 | 6 | 3.233 | 20922.1 |
516 | 2025-05-19 12:25:36 | normalized | 3 | 140603 | 55 | 6.826 | 20598.2 |
515 | 2025-05-18 16:57:18 | normalized | 1 | 67641 | 6 | 7.703 | 8781.1 |
514 | 2025-05-12 13:51:14 | normalized | 1 | 67641 | 6 | 5.563 | 12159.1 |
513 | 2025-05-12 11:34:05 | normalized | 3 | 140603 | 55 | 23.920 | 5878.1 |
512 | 2025-05-12 04:42:23 | normalized | 3 | 140603 | 55 | 38.766 | 3627.0 |
511 | 2025-05-11 11:02:23 | normalized | 2 | 108824 | 15 | 7.720 | 14096.4 |
510 | 2025-05-11 07:57:57 | normalized | 2 | 108824 | 15 | 3.516 | 30951.1 |
509 | 2025-05-10 23:06:49 | normalized | 2 | 108824 | 15 | 8.050 | 13518.5 |
508 | 2025-05-05 09:07:14 | normalized | 2 | 108824 | 15 | 15.330 | 7098.8 |
507 | 2025-04-27 02:39:06 | normalized | 3 | 140603 | 55 | 16.686 | 8426.4 |
506 | 2025-04-26 01:28:44 | normalized | 1 | 67641 | 6 | 3.830 | 17660.8 |
505 | 2025-04-25 19:26:07 | normalized | 2 | 108824 | 15 | 13.423 | 8107.3 |
504 | 2025-04-25 14:22:23 | normalized | 3 | 140603 | 55 | 36.000 | 3905.6 |
503 | 2025-04-25 13:55:09 | normalized | 3 | 140603 | 55 | 32.360 | 4345.0 |
502 | 2025-04-25 02:08:34 | normalized | 2 | 108824 | 15 | 8.310 | 13095.5 |
501 | 2025-04-24 09:14:23 | normalized | 1 | 67641 | 6 | 5.123 | 13203.4 |
500 | 2025-04-23 13:34:08 | normalized | 3 | 140603 | 55 | 48.000 | 2929.2 |
499 | 2025-04-23 12:33:41 | normalized | 3 | 140603 | 55 | 35.770 | 3930.8 |
498 | 2025-04-22 17:23:13 | normalized | 3 | 140603 | 55 | 6.690 | 21016.9 |
497 | 2025-04-21 09:17:54 | normalized | 1 | 67641 | 6 | 5.060 | 13367.8 |
496 | 2025-04-20 07:04:20 | normalized | 3 | 140603 | 55 | 25.143 | 5592.1 |
495 | 2025-04-15 23:41:50 | normalized | 1 | 67641 | 6 | 2.750 | 24596.7 |
494 | 2025-04-15 08:50:05 | normalized | 1 | 67641 | 6 | 1.233 | 54858.9 |
493 | 2025-04-15 07:38:48 | normalized | 1 | 67641 | 6 | 3.096 | 21847.9 |
492 | 2025-04-09 10:46:47 | normalized | 4 | 161450 | 259 | 77.190 | 2091.6 |
491 | 2025-04-09 00:00:28 | normalized | 4 | 161450 | 259 | 77.453 | 2084.5 |
490 | 2025-04-06 20:13:38 | normalized | 4 | 161450 | 259 | 74.456 | 2168.4 |
489 | 2025-04-05 11:51:15 | normalized | 4 | 161450 | 259 | 26.580 | 6074.1 |
488 | 2025-04-05 08:45:20 | normalized | 2 | 108824 | 15 | 10.173 | 10697.3 |
487 | 2025-04-04 06:16:43 | normalized | 1 | 67641 | 6 | 2.763 | 24481.0 |
486 | 2025-04-02 02:42:01 | normalized | 3 | 140603 | 55 | 28.223 | 4981.9 |
485 | 2025-03-31 16:17:58 | normalized | 1 | 67641 | 6 | 2.466 | 27429.4 |
484 | 2025-03-27 05:02:45 | normalized | 3 | 140603 | 55 | 21.236 | 6621.0 |
483 | 2025-03-25 16:45:09 | normalized | 3 | 140603 | 55 | 31.390 | 4479.2 |
482 | 2025-03-25 03:44:52 | normalized | 3 | 140603 | 55 | 29.876 | 4706.2 |
481 | 2025-03-24 20:37:20 | normalized | 2 | 108824 | 15 | 3.173 | 34296.9 |
480 | 2025-03-23 11:01:24 | normalized | 1 | 67641 | 6 | 2.843 | 23792.1 |
479 | 2025-03-16 16:41:41 | normalized | 1 | 67641 | 6 | 2.466 | 27429.4 |
478 | 2025-03-16 00:03:27 | normalized | 1 | 67641 | 6 | 4.610 | 14672.7 |
477 | 2025-03-08 16:39:13 | normalized | 3 | 140603 | 55 | 32.390 | 4340.9 |
476 | 2025-03-08 16:37:14 | normalized | 1 | 67641 | 6 | 5.266 | 12844.9 |
475 | 2025-02-26 19:01:00 | normalized | 3 | 140603 | 55 | 40.486 | 3472.9 |
474 | 2025-02-26 18:30:25 | normalized | 1 | 67641 | 6 | 5.533 | 12225.0 |
473 | 2025-02-19 13:10:51 | normalized | 3 | 140603 | 55 | 27.876 | 5043.9 |
472 | 2025-02-16 07:59:33 | normalized | 3 | 140603 | 55 | 31.233 | 4501.7 |
471 | 2025-02-12 12:25:47 | normalized | 2 | 108824 | 15 | 16.956 | 6418.0 |
470 | 2025-02-09 03:25:50 | normalized | 1 | 67641 | 6 | 2.703 | 25024.4 |
469 | 2025-02-09 02:05:37 | normalized | 2 | 108824 | 15 | 25.890 | 4203.3 |
468 | 2025-02-07 15:45:20 | normalized | 3 | 140603 | 55 | 26.830 | 5240.5 |
467 | 2025-02-07 15:45:20 | normalized | 3 | 140603 | 55 | 25.296 | 5558.3 |
466 | 2025-02-07 15:45:20 | normalized | 2 | 108824 | 15 | 15.733 | 6916.9 |
465 | 2025-02-07 14:49:37 | normalized | 1 | 67641 | 6 | 1.093 | 61885.6 |
464 | 2025-02-01 08:02:09 | normalized | 1 | 67641 | 6 | 5.640 | 11993.1 |
463 | 2025-01-25 09:55:24 | normalized | 1 | 67641 | 6 | 4.500 | 15031.3 |
462 | 2025-01-07 13:06:31 | normalized | 3 | 140603 | 55 | 30.970 | 4540.0 |
461 | 2025-01-04 16:52:40 | normalized | 3 | 140603 | 55 | 32.830 | 4282.8 |
460 | 2025-01-04 16:52:28 | normalized | 1 | 67641 | 6 | 1.250 | 54112.8 |
459 | 2025-01-03 11:58:22 | normalized | 2 | 108824 | 15 | 17.563 | 6196.2 |
458 | 2025-01-02 08:10:46 | normalized | 3 | 140603 | 55 | 49.896 | 2817.9 |
457 | 2024-12-31 14:26:52 | normalized | 1 | 67641 | 6 | 2.903 | 23300.4 |
456 | 2024-12-31 06:18:43 | normalized | 3 | 140603 | 55 | 36.453 | 3857.1 |
455 | 2024-12-31 06:18:55 | normalized | 2 | 108824 | 15 | 11.983 | 9081.5 |
454 | 2024-12-25 21:07:12 | normalized | 2 | 108824 | 15 | 21.953 | 4957.1 |
453 | 2024-12-25 21:07:02 | normalized | 3 | 140603 | 55 | 28.656 | 4906.6 |
452 | 2024-12-25 21:05:08 | normalized | 1 | 67641 | 6 | 5.093 | 13281.2 |
451 | 2024-12-22 03:32:46 | normalized | 1 | 67641 | 6 | 3.626 | 18654.4 |
450 | 2024-12-08 00:46:47 | normalized | 3 | 140603 | 55 | 32.503 | 4325.8 |
449 | 2024-12-07 07:54:31 | normalized | 3 | 140603 | 55 | 5.860 | 23993.7 |
448 | 2024-12-04 05:53:50 | normalized | 1 | 67641 | 6 | 8.483 | 7973.7 |
447 | 2024-12-01 02:35:06 | normalized | 1 | 67641 | 6 | 5.436 | 12443.2 |
446 | 2024-11-21 12:37:32 | normalized | 3 | 140603 | 55 | 33.080 | 4250.4 |
445 | 2024-11-21 12:35:39 | normalized | 1 | 67641 | 6 | 2.390 | 28301.7 |
444 | 2024-11-12 22:53:00 | normalized | 3 | 140603 | 55 | 31.813 | 4419.7 |
443 | 2024-11-03 16:39:11 | normalized | 1 | 67641 | 6 | 1.030 | 65670.9 |
442 | 2024-11-02 17:05:06 | normalized | 1 | 67641 | 6 | 5.486 | 12329.7 |
441 | 2024-10-27 19:08:06 | normalized | 3 | 140603 | 55 | 33.816 | 4157.9 |
440 | 2024-10-27 19:07:46 | normalized | 2 | 108824 | 15 | 7.703 | 14127.5 |
439 | 2024-10-24 22:35:03 | normalized | 3 | 140603 | 55 | 32.220 | 4363.8 |
438 | 2024-10-22 14:23:50 | normalized | 3 | 140603 | 55 | 37.890 | 3710.8 |
437 | 2024-10-22 14:23:58 | normalized | 2 | 108824 | 15 | 14.920 | 7293.8 |
436 | 2024-10-22 14:20:14 | normalized | 1 | 67641 | 6 | 5.766 | 11731.0 |
435 | 2024-10-17 13:09:12 | normalized | 1 | 67641 | 6 | 5.326 | 12700.2 |