History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coaxial"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
513 | 2025-08-29 12:41:20 | coaxial | 2 | 107671 | 15 | 3.533 | 30475.8 |
512 | 2025-08-25 12:36:36 | coaxial | 2 | 107671 | 15 | 11.406 | 9439.9 |
511 | 2025-08-24 22:19:33 | coaxial | 1 | 69583 | 2 | 8.033 | 8662.1 |
510 | 2025-08-23 16:44:14 | coaxial | 2 | 107671 | 15 | 14.516 | 7417.4 |
509 | 2025-08-21 02:12:34 | coaxial | 1 | 69583 | 2 | 2.936 | 23699.9 |
508 | 2025-08-16 11:07:09 | coaxial | 1 | 69583 | 2 | 1.343 | 51811.6 |
507 | 2025-08-14 15:39:45 | coaxial | 1 | 69583 | 2 | 1.110 | 62687.4 |
506 | 2025-08-05 07:18:03 | coaxial | 1 | 69583 | 2 | 2.376 | 29285.8 |
505 | 2025-08-05 05:57:47 | coaxial | 3 | 134027 | 130 | 15.890 | 8434.7 |
504 | 2025-08-05 01:27:23 | coaxial | 1 | 69583 | 2 | 5.953 | 11688.7 |
503 | 2025-08-04 01:56:56 | coaxial | 1 | 69583 | 2 | 3.530 | 19711.9 |
502 | 2025-08-03 12:23:35 | coaxial | 3 | 134027 | 130 | 36.930 | 3629.2 |
501 | 2025-08-01 22:04:01 | coaxial | 3 | 134027 | 130 | 18.986 | 7059.3 |
500 | 2025-07-31 14:24:52 | coaxial | 1 | 69583 | 2 | 8.110 | 8579.9 |
499 | 2025-07-31 08:57:20 | coaxial | 2 | 107671 | 15 | 13.086 | 8228.0 |
498 | 2025-07-31 00:07:22 | coaxial | 3 | 134027 | 130 | 11.093 | 12082.1 |
497 | 2025-07-30 21:29:11 | coaxial | 1 | 69583 | 2 | 1.280 | 54361.7 |
496 | 2025-07-26 20:10:55 | coaxial | 1 | 69583 | 2 | 5.860 | 11874.2 |
495 | 2025-07-25 06:58:40 | coaxial | 1 | 69583 | 2 | 2.110 | 32977.7 |
494 | 2025-07-23 07:45:03 | coaxial | 1 | 69583 | 2 | 6.563 | 10602.3 |
493 | 2025-07-23 07:28:56 | coaxial | 3 | 134027 | 130 | 47.550 | 2818.7 |
492 | 2025-07-22 13:30:23 | coaxial | 1 | 69583 | 2 | 2.783 | 25002.9 |
491 | 2025-07-19 09:52:11 | coaxial | 1 | 69583 | 2 | 1.110 | 62687.4 |
490 | 2025-07-19 06:38:40 | coaxial | 3 | 134027 | 130 | 6.406 | 20922.1 |
489 | 2025-07-10 19:43:42 | coaxial | 1 | 69583 | 2 | 3.156 | 22047.8 |
488 | 2025-07-10 06:19:42 | coaxial | 1 | 69583 | 2 | 3.923 | 17737.2 |
487 | 2025-07-05 06:19:52 | coaxial | 1 | 69583 | 2 | 6.326 | 10999.5 |
486 | 2025-06-26 12:22:04 | coaxial | 1 | 69583 | 2 | 6.030 | 11539.5 |
485 | 2025-06-22 19:57:55 | coaxial | 1 | 69583 | 2 | 1.110 | 62687.4 |
484 | 2025-06-22 08:40:05 | coaxial | 1 | 69583 | 2 | 9.030 | 7705.8 |
483 | 2025-06-17 22:41:15 | coaxial | 1 | 69583 | 2 | 6.420 | 10838.5 |
482 | 2025-06-08 05:00:03 | coaxial | 3 | 134027 | 130 | 34.223 | 3916.3 |
481 | 2025-06-04 22:20:28 | coaxial | 2 | 107671 | 15 | 13.780 | 7813.6 |
480 | 2025-06-04 21:27:21 | coaxial | 3 | 134027 | 130 | 34.613 | 3872.2 |
479 | 2025-06-03 04:52:43 | coaxial | 1 | 69583 | 2 | 1.250 | 55666.4 |
478 | 2025-05-26 14:24:28 | coaxial | 1 | 69583 | 2 | 6.126 | 11358.6 |
477 | 2025-05-22 09:04:13 | coaxial | 1 | 69583 | 2 | 3.156 | 22047.8 |
476 | 2025-05-18 06:07:43 | coaxial | 3 | 134027 | 130 | 39.816 | 3366.2 |
475 | 2025-05-18 04:46:54 | coaxial | 3 | 134027 | 130 | 38.710 | 3462.3 |
474 | 2025-05-16 14:38:28 | coaxial | 2 | 107671 | 15 | 23.156 | 4649.8 |
473 | 2025-05-16 03:42:10 | coaxial | 3 | 134027 | 130 | 32.160 | 4167.5 |
472 | 2025-05-15 23:33:11 | coaxial | 1 | 69583 | 2 | 8.736 | 7965.1 |
471 | 2025-05-15 07:28:21 | coaxial | 1 | 69583 | 2 | 1.296 | 53690.6 |
470 | 2025-05-14 03:49:04 | coaxial | 3 | 134027 | 130 | 26.810 | 4999.1 |
469 | 2025-05-11 09:47:44 | coaxial | 1 | 69583 | 2 | 5.953 | 11688.7 |
468 | 2025-05-05 11:01:53 | coaxial | 1 | 69583 | 2 | 5.906 | 11781.7 |
467 | 2025-05-03 05:10:35 | coaxial | 1 | 69583 | 2 | 6.296 | 11051.9 |
466 | 2025-04-27 00:19:20 | coaxial | 1 | 69583 | 2 | 1.343 | 51811.6 |
465 | 2025-04-23 18:23:59 | coaxial | 3 | 134027 | 130 | 12.186 | 10998.4 |
464 | 2025-04-23 03:32:16 | coaxial | 3 | 134027 | 130 | 26.190 | 5117.5 |
463 | 2025-04-23 01:45:45 | coaxial | 1 | 69583 | 2 | 5.423 | 12831.1 |
462 | 2025-04-21 00:42:57 | coaxial | 2 | 107671 | 15 | 15.266 | 7053.0 |
461 | 2025-04-20 12:58:12 | coaxial | 1 | 69583 | 2 | 6.110 | 11388.4 |
460 | 2025-04-16 15:00:10 | coaxial | 2 | 107671 | 15 | 8.420 | 12787.5 |
459 | 2025-04-16 04:19:27 | coaxial | 3 | 134027 | 130 | 32.860 | 4078.7 |
458 | 2025-04-16 02:05:20 | coaxial | 1 | 69583 | 2 | 4.890 | 14229.7 |
457 | 2025-04-13 23:05:40 | coaxial | 1 | 69583 | 2 | 8.906 | 7813.0 |
456 | 2025-04-02 04:31:08 | coaxial | 1 | 69583 | 2 | 6.483 | 10733.1 |
455 | 2025-03-29 07:31:13 | coaxial | 3 | 134027 | 130 | 34.393 | 3896.9 |
454 | 2025-03-29 06:49:56 | coaxial | 3 | 134027 | 130 | 31.080 | 4312.3 |
453 | 2025-03-27 14:39:42 | coaxial | 2 | 107671 | 15 | 12.096 | 8901.4 |
452 | 2025-03-27 07:01:48 | coaxial | 3 | 134027 | 130 | 42.610 | 3145.4 |
451 | 2025-03-20 16:14:03 | coaxial | 1 | 69583 | 2 | 5.436 | 12800.4 |
450 | 2025-03-20 10:36:14 | coaxial | 1 | 69583 | 2 | 5.326 | 13064.8 |
449 | 2025-03-13 01:07:15 | coaxial | 1 | 69583 | 2 | 5.750 | 12101.4 |
448 | 2025-03-12 05:34:01 | coaxial | 1 | 69583 | 2 | 6.953 | 10007.6 |
447 | 2025-02-25 22:55:29 | coaxial | 1 | 69583 | 2 | 5.143 | 13529.7 |
446 | 2025-02-09 18:46:49 | coaxial | 1 | 69583 | 2 | 4.906 | 14183.2 |
445 | 2025-02-05 14:42:05 | coaxial | 1 | 69583 | 2 | 9.233 | 7536.3 |
444 | 2025-02-03 09:09:35 | coaxial | 3 | 134027 | 130 | 33.453 | 4006.4 |
443 | 2025-01-31 22:16:39 | coaxial | 3 | 134027 | 130 | 35.766 | 3747.3 |
442 | 2025-01-30 18:54:52 | coaxial | 3 | 134027 | 130 | 45.283 | 2959.8 |
441 | 2025-01-30 13:23:45 | coaxial | 3 | 134027 | 130 | 33.800 | 3965.3 |
440 | 2025-01-30 13:23:50 | coaxial | 2 | 107671 | 15 | 15.283 | 7045.1 |
439 | 2025-01-30 13:22:04 | coaxial | 1 | 69583 | 2 | 5.593 | 12441.1 |
438 | 2025-01-23 04:15:37 | coaxial | 1 | 69583 | 2 | 5.813 | 11970.2 |
437 | 2025-01-15 08:21:25 | coaxial | 1 | 69583 | 2 | 4.860 | 14317.5 |
436 | 2025-01-07 11:35:06 | coaxial | 1 | 69583 | 2 | 5.893 | 11807.7 |
435 | 2024-12-31 13:15:22 | coaxial | 1 | 69583 | 2 | 5.983 | 11630.1 |
434 | 2024-12-27 02:29:06 | coaxial | 1 | 69583 | 2 | 4.110 | 16930.2 |
433 | 2024-12-12 14:21:19 | coaxial | 2 | 107671 | 15 | 13.470 | 7993.4 |
432 | 2024-12-12 14:21:01 | coaxial | 1 | 69583 | 2 | 5.796 | 12005.3 |
431 | 2024-12-02 13:25:04 | coaxial | 3 | 134027 | 130 | 17.923 | 7477.9 |
430 | 2024-11-28 06:35:44 | coaxial | 1 | 69583 | 2 | 3.466 | 20075.9 |
429 | 2024-11-26 20:10:09 | coaxial | 3 | 134027 | 130 | 31.486 | 4256.7 |
428 | 2024-11-26 19:10:19 | coaxial | 2 | 107671 | 15 | 23.703 | 4542.5 |
427 | 2024-11-26 18:11:38 | coaxial | 3 | 134027 | 130 | 48.406 | 2768.8 |
426 | 2024-11-26 13:21:38 | coaxial | 3 | 134027 | 130 | 45.800 | 2926.4 |
425 | 2024-11-26 13:21:31 | coaxial | 2 | 107671 | 15 | 8.470 | 12712.0 |
424 | 2024-11-26 13:09:21 | coaxial | 1 | 69583 | 2 | 5.576 | 12479.0 |
423 | 2024-10-28 09:51:14 | coaxial | 1 | 69583 | 2 | 8.610 | 8081.6 |
422 | 2024-10-17 00:49:14 | coaxial | 1 | 69583 | 2 | 5.626 | 12368.1 |
421 | 2024-09-28 03:01:09 | coaxial | 1 | 69583 | 2 | 12.860 | 5410.8 |
420 | 2024-09-19 21:40:14 | coaxial | 1 | 69583 | 2 | 7.063 | 9851.8 |
419 | 2024-08-18 18:10:55 | coaxial | 1 | 69583 | 2 | 4.626 | 15041.7 |
418 | 2024-08-12 21:41:08 | coaxial | 1 | 69583 | 2 | 10.280 | 6768.8 |
417 | 2024-08-10 16:57:34 | coaxial | 3 | 134027 | 130 | 33.830 | 3961.8 |
416 | 2024-08-10 02:10:19 | coaxial | 3 | 134027 | 130 | 19.766 | 6780.7 |
415 | 2024-08-09 16:16:17 | coaxial | 3 | 134027 | 130 | 25.376 | 5281.6 |
414 | 2024-08-08 15:27:21 | coaxial | 3 | 134027 | 130 | 23.736 | 5646.6 |