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 |
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 |
413 | 2024-08-08 02:18:30 | coaxial | 3 | 134027 | 130 | 37.583 | 3566.2 |
412 | 2024-08-08 02:18:36 | coaxial | 2 | 107671 | 15 | 13.360 | 8059.2 |
411 | 2024-08-08 02:18:02 | coaxial | 1 | 69583 | 2 | 4.486 | 15511.1 |
410 | 2024-07-28 15:06:13 | coaxial | 1 | 69583 | 2 | 1.326 | 52475.9 |
409 | 2024-07-18 20:28:56 | coaxial | 1 | 69583 | 2 | 6.110 | 11388.4 |
408 | 2024-07-17 10:10:25 | coaxial | 1 | 69583 | 2 | 6.593 | 10554.1 |
407 | 2024-07-15 22:06:26 | coaxial | 1 | 69583 | 2 | 5.190 | 13407.1 |
406 | 2024-07-06 21:52:14 | coaxial | 2 | 107671 | 15 | 12.003 | 8970.3 |
405 | 2024-06-17 04:44:28 | coaxial | 1 | 69583 | 2 | 5.233 | 13297.0 |
404 | 2024-06-17 02:06:19 | coaxial | 1 | 69583 | 2 | 4.656 | 14944.8 |
403 | 2024-06-16 11:16:48 | coaxial | 3 | 134027 | 130 | 26.656 | 5028.0 |
402 | 2024-06-14 01:41:14 | coaxial | 3 | 134027 | 130 | 30.343 | 4417.1 |
401 | 2024-06-13 12:18:27 | coaxial | 1 | 69583 | 2 | 2.126 | 32729.5 |
400 | 2024-06-13 02:11:10 | coaxial | 3 | 134027 | 130 | 19.280 | 6951.6 |
399 | 2024-06-12 22:25:58 | coaxial | 3 | 134027 | 130 | 22.720 | 5899.1 |
398 | 2024-06-02 15:53:08 | coaxial | 1 | 69583 | 2 | 5.750 | 12101.4 |
397 | 2024-05-10 15:28:06 | coaxial | 1 | 69583 | 2 | 1.093 | 63662.4 |
396 | 2024-05-06 21:21:21 | coaxial | 2 | 107671 | 15 | 7.390 | 14569.8 |
395 | 2024-05-06 21:21:17 | coaxial | 3 | 134027 | 130 | 11.343 | 11815.8 |
394 | 2024-05-04 13:59:27 | coaxial | 2 | 107671 | 15 | 3.826 | 28141.9 |
393 | 2024-05-04 13:59:15 | coaxial | 3 | 134027 | 130 | 8.236 | 16273.3 |
392 | 2024-05-03 19:52:16 | coaxial | 2 | 107671 | 15 | 3.376 | 31893.1 |
391 | 2024-05-03 17:42:32 | coaxial | 3 | 134027 | 130 | 7.703 | 17399.3 |
390 | 2024-05-03 09:29:47 | coaxial | 3 | 134027 | 130 | 8.656 | 15483.7 |
389 | 2024-05-03 09:29:23 | coaxial | 1 | 69583 | 2 | 1.220 | 57035.2 |
388 | 2024-05-03 04:52:40 | coaxial | 2 | 107671 | 15 | 7.970 | 13509.5 |
387 | 2024-05-02 16:41:25 | coaxial | 2 | 107671 | 15 | 3.796 | 28364.3 |
386 | 2024-05-01 03:31:10 | coaxial | 1 | 69583 | 2 | 1.330 | 52318.0 |
385 | 2024-04-27 15:19:13 | coaxial | 1 | 69583 | 2 | 1.596 | 43598.4 |
384 | 2024-04-27 08:05:28 | coaxial | 1 | 69583 | 2 | 1.160 | 59985.3 |
383 | 2024-04-21 12:08:07 | coaxial | 1 | 69583 | 2 | 1.533 | 45390.1 |
382 | 2024-04-12 05:07:19 | coaxial | 2 | 107671 | 15 | 12.093 | 8903.6 |
381 | 2024-04-12 05:07:13 | coaxial | 2 | 107671 | 15 | 11.640 | 9250.1 |
380 | 2024-03-31 00:32:45 | coaxial | 1 | 69583 | 2 | 4.283 | 16246.3 |
379 | 2024-03-30 14:54:17 | coaxial | 1 | 69583 | 2 | 1.703 | 40859.1 |
378 | 2024-03-05 20:58:02 | coaxial | 1 | 69583 | 2 | 4.016 | 17326.4 |
377 | 2024-02-29 21:45:40 | coaxial | 1 | 69583 | 2 | 2.563 | 27149.0 |
376 | 2024-01-30 14:03:31 | coaxial | 1 | 69583 | 2 | 1.250 | 55666.4 |
375 | 2024-01-23 15:18:41 | coaxial | 1 | 69583 | 2 | 1.296 | 53690.6 |
374 | 2024-01-21 09:10:08 | coaxial | 3 | 134027 | 130 | 7.233 | 18529.9 |
373 | 2023-12-27 12:39:36 | coaxial | 1 | 69583 | 2 | 1.750 | 39761.7 |
372 | 2023-12-25 09:28:34 | coaxial | 3 | 134027 | 130 | 6.330 | 21173.3 |
371 | 2023-12-25 09:28:28 | coaxial | 2 | 107671 | 15 | 3.330 | 32333.6 |
370 | 2023-12-24 08:05:17 | coaxial | 1 | 69583 | 2 | 1.233 | 56433.9 |
369 | 2023-12-13 05:08:49 | coaxial | 2 | 107671 | 15 | 2.893 | 37217.8 |
368 | 2023-12-06 13:05:00 | coaxial | 1 | 69583 | 2 | 1.236 | 56296.9 |
367 | 2023-11-24 00:44:05 | coaxial | 1 | 69583 | 2 | 1.143 | 60877.5 |
366 | 2023-11-20 13:43:27 | coaxial | 1 | 69583 | 2 | 1.110 | 62687.4 |