History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"nosinesses"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
493 | 2025-09-26 03:57:13 | nosinesses | 1 | 67641 | 4 | 1.060 | 63812.3 |
492 | 2025-09-09 04:03:10 | nosinesses | 1 | 67641 | 4 | 1.123 | 60232.4 |
491 | 2025-08-29 04:38:00 | nosinesses | 3 | 140603 | 253 | 6.263 | 22449.8 |
490 | 2025-08-28 18:23:50 | nosinesses | 1 | 67641 | 4 | 4.373 | 15467.9 |
489 | 2025-08-27 08:42:56 | nosinesses | 1 | 67641 | 4 | 1.156 | 58513.0 |
488 | 2025-08-12 12:59:27 | nosinesses | 2 | 108824 | 38 | 14.266 | 7628.2 |
487 | 2025-08-09 17:16:07 | nosinesses | 1 | 67641 | 4 | 5.110 | 13237.0 |
486 | 2025-08-09 17:16:04 | nosinesses | 1 | 67641 | 4 | 2.580 | 26217.4 |
485 | 2025-08-06 20:16:20 | nosinesses | 3 | 140603 | 253 | 16.563 | 8489.0 |
484 | 2025-08-04 22:34:49 | nosinesses | 2 | 108824 | 38 | 8.390 | 12970.7 |
483 | 2025-08-04 16:00:43 | nosinesses | 1 | 67641 | 4 | 2.640 | 25621.6 |
482 | 2025-08-04 09:41:17 | nosinesses | 1 | 67641 | 4 | 3.190 | 21204.1 |
481 | 2025-08-04 09:41:08 | nosinesses | 1 | 67641 | 4 | 1.203 | 56226.9 |
480 | 2025-07-29 13:40:55 | nosinesses | 1 | 67641 | 4 | 2.686 | 25182.8 |
479 | 2025-07-27 00:03:18 | nosinesses | 1 | 67641 | 4 | 2.736 | 24722.6 |
478 | 2025-07-23 13:26:56 | nosinesses | 1 | 67641 | 4 | 5.046 | 13404.9 |
477 | 2025-07-22 15:01:08 | nosinesses | 1 | 67641 | 4 | 3.533 | 19145.5 |
476 | 2025-07-16 17:01:18 | nosinesses | 1 | 67641 | 4 | 1.063 | 63632.2 |
475 | 2025-07-15 14:29:53 | nosinesses | 1 | 67641 | 4 | 4.750 | 14240.2 |
474 | 2025-07-14 05:31:55 | nosinesses | 1 | 67641 | 4 | 3.076 | 21989.9 |
473 | 2025-07-02 16:02:42 | nosinesses | 1 | 67641 | 4 | 3.500 | 19326.0 |
472 | 2025-07-02 09:54:28 | nosinesses | 1 | 67641 | 4 | 6.656 | 10162.4 |
471 | 2025-06-29 17:01:54 | nosinesses | 1 | 67641 | 4 | 1.123 | 60232.4 |
470 | 2025-06-25 23:50:17 | nosinesses | 1 | 67641 | 4 | 6.936 | 9752.2 |
469 | 2025-06-20 12:30:39 | nosinesses | 1 | 67641 | 4 | 5.470 | 12365.8 |
468 | 2025-06-08 12:34:53 | nosinesses | 3 | 140603 | 253 | 33.656 | 4177.7 |
467 | 2025-06-08 06:11:58 | nosinesses | 3 | 140603 | 253 | 22.990 | 6115.8 |
466 | 2025-06-06 03:32:35 | nosinesses | 3 | 140603 | 253 | 35.893 | 3917.3 |
465 | 2025-06-05 06:13:16 | nosinesses | 3 | 140603 | 253 | 32.330 | 4349.0 |
464 | 2025-06-04 00:07:44 | nosinesses | 1 | 67641 | 4 | 6.686 | 10116.8 |
463 | 2025-06-02 15:32:53 | nosinesses | 1 | 67641 | 4 | 7.173 | 9429.9 |
462 | 2025-05-26 00:02:29 | nosinesses | 1 | 67641 | 4 | 7.970 | 8487.0 |
461 | 2025-05-22 07:12:19 | nosinesses | 1 | 67641 | 4 | 4.016 | 16842.9 |
460 | 2025-05-16 16:01:56 | nosinesses | 1 | 67641 | 4 | 5.093 | 13281.2 |
459 | 2025-05-13 20:36:49 | nosinesses | 3 | 140603 | 253 | 32.283 | 4355.3 |
458 | 2025-05-06 20:59:08 | nosinesses | 3 | 140603 | 253 | 5.546 | 25352.1 |
457 | 2025-05-02 15:42:08 | nosinesses | 1 | 67641 | 4 | 3.703 | 18266.5 |
456 | 2025-05-02 07:05:41 | nosinesses | 1 | 67641 | 4 | 4.970 | 13609.9 |
455 | 2025-04-25 05:13:55 | nosinesses | 3 | 140603 | 253 | 27.690 | 5077.8 |
454 | 2025-04-23 03:46:38 | nosinesses | 3 | 140603 | 253 | 30.656 | 4586.5 |
453 | 2025-04-23 00:06:17 | nosinesses | 1 | 67641 | 4 | 5.593 | 12093.9 |
452 | 2025-04-20 20:11:40 | nosinesses | 3 | 140603 | 253 | 46.813 | 3003.5 |
451 | 2025-04-20 08:07:08 | nosinesses | 1 | 67641 | 4 | 2.640 | 25621.6 |
450 | 2025-04-18 08:01:06 | nosinesses | 3 | 140603 | 253 | 33.000 | 4260.7 |
449 | 2025-04-16 14:45:09 | nosinesses | 2 | 108824 | 38 | 12.436 | 8750.7 |
448 | 2025-04-16 11:50:12 | nosinesses | 3 | 140603 | 253 | 40.643 | 3459.5 |
447 | 2025-04-15 15:07:23 | nosinesses | 1 | 67641 | 4 | 1.156 | 58513.0 |
446 | 2025-04-02 06:25:12 | nosinesses | 1 | 67641 | 4 | 8.156 | 8293.4 |
445 | 2025-03-23 01:37:03 | nosinesses | 1 | 67641 | 4 | 5.623 | 12029.3 |
444 | 2025-03-20 08:43:19 | nosinesses | 1 | 67641 | 4 | 5.326 | 12700.2 |
443 | 2025-03-14 11:53:12 | nosinesses | 1 | 67641 | 4 | 1.060 | 63812.3 |
442 | 2025-03-10 15:14:30 | nosinesses | 1 | 67641 | 4 | 7.563 | 8943.7 |
441 | 2025-03-02 08:34:56 | nosinesses | 1 | 67641 | 4 | 2.610 | 25916.1 |
440 | 2025-02-17 04:09:17 | nosinesses | 1 | 67641 | 4 | 3.110 | 21749.5 |
439 | 2025-02-11 19:22:14 | nosinesses | 1 | 67641 | 4 | 7.703 | 8781.1 |
438 | 2025-02-02 13:58:43 | nosinesses | 1 | 67641 | 4 | 5.563 | 12159.1 |
437 | 2025-01-31 12:51:19 | nosinesses | 3 | 140603 | 253 | 28.563 | 4922.6 |
436 | 2025-01-30 01:24:32 | nosinesses | 3 | 140603 | 253 | 32.800 | 4286.7 |
435 | 2025-01-29 07:01:48 | nosinesses | 3 | 140603 | 253 | 31.283 | 4494.5 |
434 | 2025-01-29 07:01:55 | nosinesses | 2 | 108824 | 38 | 14.970 | 7269.5 |
433 | 2025-01-29 06:56:15 | nosinesses | 1 | 67641 | 4 | 1.173 | 57665.0 |
432 | 2025-01-14 06:13:44 | nosinesses | 1 | 67641 | 4 | 1.920 | 35229.7 |
431 | 2025-01-03 09:58:23 | nosinesses | 1 | 67641 | 4 | 4.156 | 16275.5 |
430 | 2025-01-03 09:54:55 | nosinesses | 2 | 108824 | 38 | 7.500 | 14509.9 |
429 | 2025-01-02 06:36:07 | nosinesses | 2 | 108824 | 38 | 12.623 | 8621.1 |
428 | 2025-01-02 06:34:01 | nosinesses | 1 | 67641 | 4 | 5.390 | 12549.4 |
427 | 2025-01-01 02:04:36 | nosinesses | 3 | 140603 | 253 | 44.126 | 3186.4 |
426 | 2024-12-30 15:53:36 | nosinesses | 3 | 140603 | 253 | 35.313 | 3981.6 |
425 | 2024-12-30 15:53:28 | nosinesses | 2 | 108824 | 38 | 17.783 | 6119.6 |
424 | 2024-12-20 06:34:31 | nosinesses | 3 | 140603 | 253 | 35.503 | 3960.3 |
423 | 2024-12-20 06:34:31 | nosinesses | 2 | 108824 | 38 | 17.646 | 6167.1 |
422 | 2024-12-20 04:49:30 | nosinesses | 1 | 67641 | 4 | 1.186 | 57032.9 |
421 | 2024-12-13 13:30:26 | nosinesses | 1 | 67641 | 4 | 2.890 | 23405.2 |
420 | 2024-11-30 09:17:42 | nosinesses | 2 | 108824 | 38 | 15.096 | 7208.8 |
419 | 2024-11-30 06:44:09 | nosinesses | 3 | 140603 | 253 | 37.563 | 3743.1 |
418 | 2024-11-30 01:16:51 | nosinesses | 3 | 140603 | 253 | 29.143 | 4824.6 |
417 | 2024-11-30 01:16:45 | nosinesses | 2 | 108824 | 38 | 7.593 | 14332.1 |
416 | 2024-11-30 01:12:19 | nosinesses | 1 | 67641 | 4 | 5.330 | 12690.6 |
415 | 2024-11-27 21:17:03 | nosinesses | 1 | 67641 | 4 | 1.140 | 59334.2 |
414 | 2024-11-10 15:48:08 | nosinesses | 1 | 67641 | 4 | 1.000 | 67641.0 |
413 | 2024-11-08 10:05:28 | nosinesses | 1 | 67641 | 4 | 2.906 | 23276.3 |
412 | 2024-10-30 17:25:23 | nosinesses | 3 | 140603 | 253 | 24.923 | 5641.5 |
411 | 2024-10-28 20:05:00 | nosinesses | 3 | 140603 | 253 | 36.253 | 3878.4 |
410 | 2024-10-28 20:05:08 | nosinesses | 2 | 108824 | 38 | 18.953 | 5741.8 |
409 | 2024-10-27 19:58:40 | nosinesses | 1 | 67641 | 4 | 0.986 | 68601.4 |
408 | 2024-10-10 12:59:30 | nosinesses | 1 | 67641 | 4 | 1.376 | 49157.7 |
407 | 2024-10-09 04:39:19 | nosinesses | 1 | 67641 | 4 | 0.986 | 68601.4 |
406 | 2024-10-03 21:22:08 | nosinesses | 2 | 108824 | 38 | 25.673 | 4238.9 |
405 | 2024-10-02 03:49:15 | nosinesses | 1 | 67641 | 4 | 9.113 | 7422.5 |
404 | 2024-10-01 02:10:05 | nosinesses | 2 | 108824 | 38 | 22.906 | 4750.9 |
403 | 2024-09-27 14:23:31 | nosinesses | 3 | 140603 | 253 | 47.500 | 2960.1 |
402 | 2024-09-27 14:22:55 | nosinesses | 2 | 108824 | 38 | 25.153 | 4326.5 |
401 | 2024-09-26 16:33:17 | nosinesses | 3 | 140603 | 253 | 48.050 | 2926.2 |
400 | 2024-09-26 15:24:26 | nosinesses | 3 | 140603 | 253 | 49.203 | 2857.6 |
399 | 2024-09-26 13:23:09 | nosinesses | 3 | 140603 | 253 | 50.583 | 2779.6 |
398 | 2024-09-26 13:23:07 | nosinesses | 2 | 108824 | 38 | 18.016 | 6040.4 |
397 | 2024-09-26 13:20:58 | nosinesses | 1 | 67641 | 4 | 1.186 | 57032.9 |
396 | 2024-09-08 11:01:05 | nosinesses | 1 | 67641 | 4 | 4.173 | 16209.2 |
395 | 2024-08-30 17:58:34 | nosinesses | 1 | 67641 | 4 | 10.953 | 6175.6 |
394 | 2024-08-24 04:32:50 | nosinesses | 1 | 67641 | 4 | 5.343 | 12659.7 |