History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"torques"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
489 | 2024-04-20 09:57:33 | torques | 1 | 69583 | 6 | 1.096 | 63488.1 |
488 | 2024-01-01 15:10:29 | torques | 1 | 69583 | 6 | 1.186 | 58670.3 |
487 | 2023-11-25 07:14:23 | torques | 1 | 69583 | 6 | 1.140 | 61037.7 |
486 | 2023-11-22 09:28:59 | torques | 1 | 69583 | 6 | 1.220 | 57035.2 |
485 | 2023-11-19 20:08:32 | torques | 1 | 69583 | 6 | 1.123 | 61961.7 |
484 | 2023-10-23 03:25:08 | torques | 1 | 69583 | 6 | 1.343 | 51811.6 |
483 | 2023-10-23 00:27:37 | torques | 1 | 69583 | 6 | 1.220 | 57035.2 |
482 | 2023-10-22 18:57:09 | torques | 1 | 69583 | 6 | 1.250 | 55666.4 |
481 | 2023-10-13 11:49:49 | torques | 1 | 69583 | 6 | 1.076 | 64668.2 |
480 | 2023-10-05 06:39:10 | torques | 1 | 69583 | 6 | 1.063 | 65459.1 |
479 | 2023-09-29 08:31:36 | torques | 1 | 69583 | 6 | 1.173 | 59320.5 |
478 | 2023-09-23 07:10:50 | torques | 1 | 69583 | 6 | 1.126 | 61796.6 |
477 | 2023-08-19 13:02:48 | torques | 1 | 69583 | 6 | 1.233 | 56433.9 |
476 | 2023-05-29 17:22:44 | torques | 1 | 69583 | 6 | 1.076 | 64668.2 |
475 | 2023-05-21 16:13:18 | torques | 1 | 69583 | 6 | 1.143 | 60877.5 |
474 | 2023-03-17 05:57:09 | torques | 1 | 69583 | 6 | 1.046 | 66522.9 |
473 | 2023-01-26 22:12:16 | torques | 1 | 69583 | 6 | 1.096 | 63488.1 |
472 | 2023-01-05 11:08:05 | torques | 1 | 69583 | 6 | 1.060 | 65644.3 |
471 | 2022-09-29 16:14:08 | torques | 1 | 69583 | 6 | 1.220 | 57035.2 |
470 | 2022-09-24 13:23:33 | torques | 1 | 69583 | 6 | 1.093 | 63662.4 |
469 | 2022-09-20 23:08:26 | torques | 1 | 69583 | 6 | 1.093 | 63662.4 |
468 | 2022-09-02 06:25:25 | torques | 1 | 69583 | 6 | 1.310 | 53116.8 |
467 | 2022-05-13 23:02:48 | torques | 1 | 69583 | 6 | 1.343 | 51811.6 |
466 | 2022-05-11 17:36:44 | torques | 1 | 69583 | 6 | 1.156 | 60192.9 |
465 | 2022-05-08 05:21:56 | torques | 1 | 69583 | 6 | 1.110 | 62687.4 |
464 | 2022-02-28 10:49:33 | torques | 2 | 107671 | 29 | 2.953 | 36461.6 |
463 | 2022-02-05 21:54:33 | torques | 2 | 107671 | 29 | 2.860 | 37647.2 |
462 | 2022-02-04 22:54:30 | torques | 2 | 107671 | 29 | 3.080 | 34958.1 |
461 | 2022-02-03 19:01:57 | torques | 2 | 107671 | 29 | 3.423 | 31455.2 |
460 | 2022-02-02 19:08:26 | torques | 2 | 107671 | 29 | 3.030 | 35535.0 |
459 | 2022-02-01 17:44:14 | torques | 2 | 107671 | 29 | 3.250 | 33129.5 |
458 | 2022-01-31 17:57:55 | torques | 2 | 107671 | 29 | 3.313 | 32499.5 |
457 | 2022-01-30 23:57:55 | torques | 2 | 107671 | 29 | 2.923 | 36835.8 |
456 | 2022-01-30 17:13:51 | torques | 1 | 69583 | 6 | 1.080 | 64428.7 |
455 | 2022-01-21 12:48:58 | torques | 2 | 107671 | 29 | 3.360 | 32044.9 |
454 | 2022-01-21 01:15:00 | torques | 2 | 107671 | 29 | 2.940 | 36622.8 |
453 | 2022-01-20 18:07:25 | torques | 2 | 107671 | 29 | 3.486 | 30886.7 |
452 | 2022-01-20 16:23:19 | torques | 1 | 69583 | 6 | 1.110 | 62687.4 |
451 | 2022-01-20 14:14:45 | torques | 1 | 69583 | 6 | 1.233 | 56433.9 |
450 | 2022-01-20 06:03:34 | torques | 2 | 107671 | 29 | 3.453 | 31181.9 |
449 | 2022-01-19 17:39:46 | torques | 2 | 107671 | 29 | 3.640 | 29579.9 |
448 | 2022-01-19 06:05:19 | torques | 2 | 107671 | 29 | 3.000 | 35890.3 |
447 | 2022-01-18 16:05:13 | torques | 2 | 107671 | 29 | 2.906 | 37051.3 |
446 | 2022-01-18 00:34:31 | torques | 2 | 107671 | 29 | 3.280 | 32826.5 |
445 | 2022-01-07 07:07:14 | torques | 1 | 69583 | 6 | 1.266 | 54962.9 |
444 | 2022-01-03 15:43:08 | torques | 2 | 107671 | 29 | 3.000 | 35890.3 |
443 | 2022-01-02 17:23:40 | torques | 2 | 107671 | 29 | 3.563 | 30219.2 |
442 | 2022-01-01 14:36:00 | torques | 2 | 107671 | 29 | 3.530 | 30501.7 |
441 | 2021-11-27 22:51:22 | torques | 2 | 107671 | 29 | 3.690 | 29179.1 |
440 | 2021-11-23 19:04:00 | torques | 1 | 69583 | 6 | 1.360 | 51164.0 |
439 | 2021-11-19 23:38:54 | torques | 2 | 107671 | 29 | 2.856 | 37699.9 |
438 | 2021-11-18 21:48:52 | torques | 1 | 69583 | 6 | 1.096 | 63488.1 |
437 | 2021-11-18 09:52:13 | torques | 1 | 69583 | 6 | 2.016 | 34515.4 |
436 | 2021-11-18 02:48:26 | torques | 1 | 69583 | 6 | 1.106 | 62914.1 |
435 | 2021-11-17 13:28:58 | torques | 1 | 69583 | 6 | 1.250 | 55666.4 |
434 | 2021-11-15 16:42:07 | torques | 2 | 107671 | 29 | 2.923 | 36835.8 |
433 | 2021-11-15 16:36:06 | torques | 1 | 69583 | 6 | 1.076 | 64668.2 |
432 | 2021-11-15 07:54:19 | torques | 1 | 69583 | 6 | 1.110 | 62687.4 |
431 | 2021-11-14 19:26:38 | torques | 1 | 69583 | 6 | 1.236 | 56296.9 |
430 | 2021-11-14 15:38:41 | torques | 2 | 107671 | 29 | 3.263 | 32997.5 |
429 | 2021-11-14 08:58:55 | torques | 1 | 69583 | 6 | 1.263 | 55093.4 |
428 | 2021-11-13 19:08:40 | torques | 1 | 69583 | 6 | 1.096 | 63488.1 |
427 | 2021-11-13 17:34:26 | torques | 2 | 107671 | 29 | 3.123 | 34476.8 |
426 | 2021-11-13 10:09:15 | torques | 1 | 69583 | 6 | 1.250 | 55666.4 |
425 | 2021-11-12 19:50:38 | torques | 2 | 107671 | 29 | 3.280 | 32826.5 |
424 | 2021-11-12 19:37:33 | torques | 1 | 69583 | 6 | 1.236 | 56296.9 |
423 | 2021-11-12 09:43:10 | torques | 1 | 69583 | 6 | 1.280 | 54361.7 |
422 | 2021-11-11 17:17:34 | torques | 1 | 69583 | 6 | 1.126 | 61796.6 |
421 | 2021-11-11 12:33:05 | torques | 2 | 107671 | 29 | 2.873 | 37476.9 |
420 | 2021-11-11 06:26:35 | torques | 1 | 69583 | 6 | 1.186 | 58670.3 |
419 | 2021-11-10 23:28:56 | torques | 1 | 69583 | 6 | 1.263 | 55093.4 |
418 | 2021-11-10 20:57:55 | torques | 1 | 69583 | 6 | 1.076 | 64668.2 |
417 | 2021-11-10 19:23:08 | torques | 1 | 69583 | 6 | 1.173 | 59320.5 |
416 | 2021-11-10 13:47:34 | torques | 1 | 69583 | 6 | 1.080 | 64428.7 |
415 | 2021-11-10 04:32:30 | torques | 1 | 69583 | 6 | 1.186 | 58670.3 |
414 | 2021-11-09 15:52:46 | torques | 1 | 69583 | 6 | 1.343 | 51811.6 |
413 | 2021-11-08 19:21:23 | torques | 1 | 69583 | 6 | 1.296 | 53690.6 |
412 | 2021-11-08 09:26:42 | torques | 1 | 69583 | 6 | 1.250 | 55666.4 |
411 | 2021-10-30 23:47:50 | torques | 1 | 69583 | 6 | 1.203 | 57841.2 |
410 | 2021-10-29 22:30:20 | torques | 1 | 69583 | 6 | 1.206 | 57697.3 |
409 | 2021-10-26 08:33:19 | torques | 2 | 107671 | 29 | 3.220 | 33438.2 |
408 | 2021-10-25 14:47:04 | torques | 2 | 107671 | 29 | 3.123 | 34476.8 |
407 | 2021-10-25 06:07:54 | torques | 2 | 107671 | 29 | 3.140 | 34290.1 |
406 | 2021-10-24 20:20:56 | torques | 2 | 107671 | 29 | 3.906 | 27565.5 |
405 | 2021-10-24 08:37:41 | torques | 2 | 107671 | 29 | 3.296 | 32667.2 |
404 | 2021-10-24 00:46:38 | torques | 2 | 107671 | 29 | 3.030 | 35535.0 |
403 | 2021-10-23 13:39:49 | torques | 2 | 107671 | 29 | 3.546 | 30364.1 |
402 | 2021-10-23 02:27:54 | torques | 2 | 107671 | 29 | 3.110 | 34620.9 |
401 | 2021-10-22 17:58:56 | torques | 2 | 107671 | 29 | 2.846 | 37832.4 |
400 | 2021-10-21 14:21:34 | torques | 1 | 69583 | 6 | 1.076 | 64668.2 |
399 | 2021-10-20 16:47:09 | torques | 1 | 69583 | 6 | 1.203 | 57841.2 |
398 | 2021-10-19 18:21:26 | torques | 2 | 107671 | 29 | 2.920 | 36873.6 |
397 | 2021-10-09 12:53:07 | torques | 1 | 69583 | 6 | 2.576 | 27012.0 |
396 | 2021-10-01 18:25:50 | torques | 2 | 107671 | 29 | 3.233 | 33303.7 |
395 | 2021-09-30 20:46:51 | torques | 2 | 107671 | 29 | 3.190 | 33752.7 |
394 | 2021-09-30 09:59:15 | torques | 2 | 107671 | 29 | 3.313 | 32499.5 |
393 | 2021-09-29 16:49:59 | torques | 2 | 107671 | 29 | 2.860 | 37647.2 |
392 | 2021-09-29 07:53:34 | torques | 2 | 107671 | 29 | 2.830 | 38046.3 |
391 | 2021-09-28 16:12:55 | torques | 2 | 107671 | 29 | 3.186 | 33795.0 |
390 | 2021-09-28 04:44:48 | torques | 2 | 107671 | 29 | 3.220 | 33438.2 |