History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"echelon"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
504 | 2024-04-15 23:19:46 | echelon | 1 | 69583 | 2 | 2.406 | 28920.6 |
503 | 2024-04-10 16:59:36 | echelon | 4 | 151207 | 768 | 36.126 | 4185.5 |
502 | 2024-04-10 06:14:56 | echelon | 4 | 151207 | 768 | 11.766 | 12851.2 |
501 | 2024-03-31 04:29:20 | echelon | 4 | 151207 | 768 | 19.876 | 7607.5 |
500 | 2024-03-31 03:05:57 | echelon | 4 | 151207 | 768 | 48.316 | 3129.5 |
499 | 2024-03-31 01:20:53 | echelon | 4 | 151207 | 768 | 40.253 | 3756.4 |
498 | 2024-03-31 01:20:51 | echelon | 3 | 134027 | 60 | 11.690 | 11465.1 |
497 | 2024-03-31 01:20:55 | echelon | 2 | 107671 | 4 | 5.313 | 20265.6 |
496 | 2024-03-31 00:50:21 | echelon | 1 | 69583 | 2 | 1.326 | 52475.9 |
495 | 2024-02-27 23:42:37 | echelon | 1 | 69583 | 2 | 1.250 | 55666.4 |
494 | 2024-02-05 20:44:22 | echelon | 4 | 151207 | 768 | 12.453 | 12142.2 |
493 | 2024-02-05 12:24:03 | echelon | 4 | 151207 | 768 | 22.080 | 6848.1 |
492 | 2024-01-30 08:55:29 | echelon | 1 | 69583 | 2 | 2.580 | 26970.2 |
491 | 2024-01-27 13:58:17 | echelon | 3 | 134027 | 60 | 6.906 | 19407.3 |
490 | 2024-01-27 13:57:05 | echelon | 4 | 151207 | 768 | 10.750 | 14065.8 |
489 | 2024-01-27 12:57:59 | echelon | 4 | 151207 | 768 | 22.190 | 6814.2 |
488 | 2024-01-27 12:57:55 | echelon | 3 | 134027 | 60 | 7.330 | 18284.7 |
487 | 2024-01-27 12:57:47 | echelon | 2 | 107671 | 4 | 3.466 | 31064.9 |
486 | 2024-01-12 02:02:29 | echelon | 2 | 107671 | 4 | 3.236 | 33272.9 |
485 | 2023-12-25 06:46:03 | echelon | 3 | 134027 | 60 | 5.656 | 23696.4 |
484 | 2023-12-03 06:33:45 | echelon | 4 | 151207 | 768 | 11.313 | 13365.8 |
483 | 2023-11-29 20:44:26 | echelon | 4 | 151207 | 768 | 11.610 | 13023.9 |
482 | 2023-11-26 19:23:57 | echelon | 1 | 69583 | 2 | 1.143 | 60877.5 |
481 | 2023-11-22 00:06:22 | echelon | 4 | 151207 | 768 | 11.233 | 13461.0 |
480 | 2023-11-19 17:58:17 | echelon | 1 | 69583 | 2 | 1.593 | 43680.5 |
479 | 2023-11-15 01:51:18 | echelon | 1 | 69583 | 2 | 1.080 | 64428.7 |
478 | 2023-11-11 18:12:12 | echelon | 1 | 69583 | 2 | 1.190 | 58473.1 |
477 | 2023-11-10 16:48:54 | echelon | 1 | 69583 | 2 | 1.063 | 65459.1 |
476 | 2023-11-05 01:44:19 | echelon | 1 | 69583 | 2 | 1.156 | 60192.9 |
475 | 2023-10-21 23:16:27 | echelon | 2 | 107671 | 4 | 3.173 | 33933.5 |
474 | 2023-10-17 19:48:05 | echelon | 1 | 69583 | 2 | 1.513 | 45990.1 |
473 | 2023-10-04 14:19:27 | echelon | 4 | 151207 | 768 | 16.703 | 9052.7 |
472 | 2023-09-30 16:19:55 | echelon | 4 | 151207 | 768 | 12.283 | 12310.3 |
471 | 2023-09-30 16:19:49 | echelon | 4 | 151207 | 768 | 11.766 | 12851.2 |
470 | 2023-09-30 16:19:50 | echelon | 3 | 134027 | 60 | 6.720 | 19944.5 |
469 | 2023-09-30 16:19:51 | echelon | 2 | 107671 | 4 | 3.360 | 32044.9 |
468 | 2023-09-25 18:03:28 | echelon | 3 | 134027 | 60 | 6.093 | 21996.9 |
467 | 2023-09-24 22:15:05 | echelon | 1 | 69583 | 2 | 1.076 | 64668.2 |
466 | 2023-09-14 10:24:17 | echelon | 1 | 69583 | 2 | 1.093 | 63662.4 |
465 | 2023-09-11 18:32:04 | echelon | 1 | 69583 | 2 | 1.063 | 65459.1 |
464 | 2023-08-01 12:31:52 | echelon | 2 | 107671 | 4 | 3.876 | 27778.9 |
463 | 2023-07-09 13:32:23 | echelon | 1 | 69583 | 2 | 1.063 | 65459.1 |
462 | 2023-07-05 23:53:25 | echelon | 3 | 134027 | 60 | 5.750 | 23309.0 |
461 | 2023-07-05 19:23:34 | echelon | 1 | 69583 | 2 | 1.140 | 61037.7 |
460 | 2023-06-23 23:34:52 | echelon | 1 | 69583 | 2 | 1.063 | 65459.1 |
459 | 2023-06-03 02:11:03 | echelon | 4 | 151207 | 768 | 9.530 | 15866.4 |
458 | 2023-05-03 06:11:39 | echelon | 4 | 151207 | 768 | 9.920 | 15242.6 |
457 | 2023-04-09 14:43:32 | echelon | 2 | 107671 | 4 | 3.063 | 35152.1 |
456 | 2023-04-02 15:53:46 | echelon | 1 | 69583 | 2 | 1.250 | 55666.4 |
455 | 2023-03-31 14:45:17 | echelon | 3 | 134027 | 60 | 6.283 | 21331.7 |
454 | 2023-03-31 14:42:04 | echelon | 4 | 151207 | 768 | 9.610 | 15734.3 |
453 | 2023-03-26 10:24:24 | echelon | 4 | 151207 | 768 | 10.186 | 14844.6 |
452 | 2023-03-19 00:39:01 | echelon | 4 | 151207 | 768 | 10.000 | 15120.7 |
451 | 2023-03-12 09:50:05 | echelon | 1 | 69583 | 2 | 1.156 | 60192.9 |
450 | 2023-02-20 08:55:07 | echelon | 4 | 151207 | 768 | 10.876 | 13902.8 |
449 | 2023-01-18 17:21:15 | echelon | 4 | 151207 | 768 | 9.640 | 15685.4 |
448 | 2023-01-15 00:48:00 | echelon | 1 | 69583 | 2 | 1.173 | 59320.5 |
447 | 2023-01-06 08:40:03 | echelon | 2 | 107671 | 4 | 2.716 | 39643.2 |
446 | 2022-12-31 11:28:48 | echelon | 4 | 151207 | 768 | 10.250 | 14751.9 |
445 | 2022-12-27 20:09:19 | echelon | 3 | 134027 | 60 | 6.076 | 22058.4 |
444 | 2022-12-15 12:58:34 | echelon | 4 | 151207 | 768 | 11.216 | 13481.4 |
443 | 2022-11-15 20:52:20 | echelon | 4 | 151207 | 768 | 12.343 | 12250.4 |
442 | 2022-11-15 09:09:50 | echelon | 4 | 151207 | 768 | 10.360 | 14595.3 |
441 | 2022-11-09 23:39:53 | echelon | 1 | 69583 | 2 | 1.096 | 63488.1 |
440 | 2022-11-08 00:00:02 | echelon | 1 | 69583 | 2 | 1.170 | 59472.6 |
439 | 2022-10-29 05:27:32 | echelon | 4 | 151207 | 768 | 12.593 | 12007.2 |
438 | 2022-10-18 22:29:16 | echelon | 4 | 151207 | 768 | 10.810 | 13987.7 |
437 | 2022-09-11 18:11:54 | echelon | 2 | 107671 | 4 | 2.860 | 37647.2 |
436 | 2022-09-10 01:29:23 | echelon | 4 | 151207 | 768 | 11.580 | 13057.6 |
435 | 2022-08-29 17:02:32 | echelon | 3 | 134027 | 60 | 5.546 | 24166.4 |
434 | 2022-08-10 02:32:55 | echelon | 4 | 151207 | 768 | 10.000 | 15120.7 |
433 | 2022-07-19 02:06:30 | echelon | 1 | 69583 | 2 | 1.046 | 66522.9 |
432 | 2022-07-08 02:27:07 | echelon | 1 | 69583 | 2 | 1.063 | 65459.1 |
431 | 2022-07-02 16:32:46 | echelon | 4 | 151207 | 768 | 10.096 | 14976.9 |
430 | 2022-06-27 11:43:48 | echelon | 1 | 69583 | 2 | 1.046 | 66522.9 |
429 | 2022-05-18 10:31:26 | echelon | 1 | 69583 | 2 | 1.296 | 53690.6 |
428 | 2022-02-28 07:16:57 | echelon | 1 | 69583 | 2 | 1.110 | 62687.4 |
427 | 2022-02-26 03:27:12 | echelon | 1 | 69583 | 2 | 1.076 | 64668.2 |
426 | 2022-02-23 23:10:53 | echelon | 1 | 69583 | 2 | 1.343 | 51811.6 |
425 | 2022-02-23 21:30:05 | echelon | 1 | 69583 | 2 | 1.390 | 50059.7 |
424 | 2021-12-06 18:37:26 | echelon | 1 | 69583 | 2 | 1.186 | 58670.3 |
423 | 2021-12-04 15:58:23 | echelon | 1 | 69583 | 2 | 1.216 | 57222.9 |
422 | 2021-10-29 21:16:39 | echelon | 1 | 69583 | 2 | 1.076 | 64668.2 |
421 | 2021-10-12 01:02:31 | echelon | 1 | 69583 | 2 | 1.070 | 65030.8 |
420 | 2021-09-03 13:46:29 | echelon | 1 | 69583 | 2 | 1.093 | 63662.4 |
419 | 2021-08-19 05:34:44 | echelon | 1 | 69583 | 2 | 1.063 | 65459.1 |
418 | 2021-07-28 00:10:10 | echelon | 4 | 151207 | 768 | 9.700 | 15588.4 |
417 | 2021-07-16 02:30:49 | echelon | 1 | 69583 | 2 | 2.373 | 29322.8 |
416 | 2021-06-21 19:19:37 | echelon | 4 | 151207 | 768 | 10.033 | 15071.0 |
415 | 2021-05-30 09:09:45 | echelon | 4 | 151207 | 768 | 11.733 | 12887.3 |
414 | 2021-05-04 04:45:49 | echelon | 1 | 69583 | 2 | 1.220 | 57035.2 |
413 | 2021-04-13 07:22:50 | echelon | 1 | 69583 | 2 | 1.203 | 57841.2 |
412 | 2021-04-02 07:13:48 | echelon | 1 | 69583 | 2 | 1.076 | 64668.2 |
411 | 2021-03-06 21:57:37 | echelon | 1 | 69583 | 2 | 1.173 | 59320.5 |
410 | 2021-02-19 17:29:01 | echelon | 1 | 69583 | 2 | 1.206 | 57697.3 |
409 | 2020-12-30 17:30:09 | echelon | 1 | 69583 | 2 | 1.076 | 64668.2 |
408 | 2020-10-28 10:17:06 | echelon | 1 | 69583 | 2 | 1.093 | 63662.4 |
407 | 2020-10-27 13:16:55 | echelon | 1 | 69583 | 2 | 1.063 | 65459.1 |
406 | 2020-10-03 10:40:28 | echelon | 1 | 69583 | 2 | 1.046 | 66522.9 |
405 | 2020-10-01 16:57:40 | echelon | 1 | 69583 | 2 | 1.063 | 65459.1 |