History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"wobbliest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
440 | 2025-09-16 15:21:05 | wobbliest | 2 | 121436 | 18 | 3.406 | 35653.6 |
439 | 2025-09-11 05:46:41 | wobbliest | 1 | 81242 | 3 | 1.533 | 52995.4 |
438 | 2025-09-09 02:55:41 | wobbliest | 1 | 81242 | 3 | 1.250 | 64993.6 |
437 | 2025-09-02 11:30:10 | wobbliest | 3 | 148641 | 90 | 6.516 | 22811.7 |
436 | 2025-08-24 00:23:42 | wobbliest | 1 | 81242 | 3 | 6.360 | 12773.9 |
435 | 2025-08-24 00:23:02 | wobbliest | 1 | 81242 | 3 | 9.313 | 8723.5 |
434 | 2025-08-18 17:25:25 | wobbliest | 1 | 81242 | 3 | 1.283 | 63321.9 |
433 | 2025-08-13 09:58:06 | wobbliest | 1 | 81242 | 3 | 3.466 | 23439.7 |
432 | 2025-08-07 00:44:09 | wobbliest | 4 | 165329 | 602 | 30.920 | 5347.0 |
431 | 2025-08-04 08:33:48 | wobbliest | 1 | 81242 | 3 | 8.673 | 9367.2 |
430 | 2025-08-03 18:48:35 | wobbliest | 1 | 81242 | 3 | 1.420 | 57212.7 |
429 | 2025-08-02 16:54:13 | wobbliest | 4 | 165329 | 602 | 35.516 | 4655.1 |
428 | 2025-08-02 08:00:08 | wobbliest | 1 | 81242 | 3 | 3.423 | 23734.2 |
427 | 2025-08-01 10:21:49 | wobbliest | 1 | 81242 | 3 | 3.606 | 22529.7 |
426 | 2025-07-28 19:46:42 | wobbliest | 4 | 165329 | 602 | 39.440 | 4191.9 |
425 | 2025-07-26 17:31:12 | wobbliest | 2 | 121436 | 18 | 14.796 | 8207.4 |
424 | 2025-07-26 16:59:59 | wobbliest | 3 | 148641 | 90 | 18.873 | 7875.9 |
423 | 2025-07-03 12:10:49 | wobbliest | 1 | 81242 | 3 | 1.346 | 60358.1 |
422 | 2025-06-29 15:22:55 | wobbliest | 2 | 121436 | 18 | 3.436 | 35342.3 |
421 | 2025-06-29 13:53:02 | wobbliest | 3 | 148641 | 90 | 6.000 | 24773.5 |
420 | 2025-06-28 21:25:28 | wobbliest | 1 | 81242 | 3 | 1.390 | 58447.5 |
419 | 2025-06-27 15:56:03 | wobbliest | 1 | 81242 | 3 | 5.376 | 15112.0 |
418 | 2025-06-26 19:37:35 | wobbliest | 4 | 165329 | 602 | 48.846 | 3384.7 |
417 | 2025-06-17 22:05:06 | wobbliest | 1 | 81242 | 3 | 6.190 | 13124.7 |
416 | 2025-06-10 17:13:05 | wobbliest | 1 | 81242 | 3 | 4.486 | 18110.1 |
415 | 2025-06-10 16:08:11 | wobbliest | 1 | 81242 | 3 | 4.436 | 18314.2 |
414 | 2025-06-01 04:20:35 | wobbliest | 4 | 165329 | 602 | 82.520 | 2003.5 |
413 | 2025-05-29 06:31:08 | wobbliest | 4 | 165329 | 602 | 54.250 | 3047.5 |
412 | 2025-05-22 07:41:16 | wobbliest | 1 | 81242 | 3 | 6.593 | 12322.5 |
411 | 2025-05-13 21:57:25 | wobbliest | 1 | 81242 | 3 | 7.813 | 10398.3 |
410 | 2025-05-07 18:55:07 | wobbliest | 1 | 81242 | 3 | 1.453 | 55913.3 |
409 | 2025-05-01 02:47:50 | wobbliest | 1 | 81242 | 3 | 6.923 | 11735.1 |
408 | 2025-04-29 00:20:16 | wobbliest | 2 | 121436 | 18 | 15.986 | 7596.4 |
407 | 2025-04-28 17:58:03 | wobbliest | 4 | 165329 | 602 | 10.156 | 16278.9 |
406 | 2025-04-27 19:57:39 | wobbliest | 3 | 148641 | 90 | 6.273 | 23695.4 |
405 | 2025-04-27 12:00:54 | wobbliest | 1 | 81242 | 3 | 1.390 | 58447.5 |
404 | 2025-04-23 16:51:09 | wobbliest | 1 | 81242 | 3 | 7.016 | 11579.5 |
403 | 2025-04-22 09:36:43 | wobbliest | 4 | 165329 | 602 | 14.046 | 11770.5 |
402 | 2025-04-21 22:39:02 | wobbliest | 1 | 81242 | 3 | 1.703 | 47705.2 |
401 | 2025-04-13 08:09:34 | wobbliest | 2 | 121436 | 18 | 3.546 | 34245.9 |
400 | 2025-04-13 06:52:57 | wobbliest | 3 | 148641 | 90 | 7.046 | 21095.8 |
399 | 2025-04-12 21:30:55 | wobbliest | 1 | 81242 | 3 | 1.830 | 44394.5 |
398 | 2025-04-11 06:29:43 | wobbliest | 1 | 81242 | 3 | 4.983 | 16303.8 |
397 | 2025-03-29 00:36:25 | wobbliest | 1 | 81242 | 3 | 3.733 | 21763.2 |
396 | 2025-03-16 13:41:03 | wobbliest | 1 | 81242 | 3 | 5.893 | 13786.2 |
395 | 2025-03-11 13:08:48 | wobbliest | 3 | 148641 | 90 | 31.780 | 4677.2 |
394 | 2025-03-10 13:05:28 | wobbliest | 1 | 81242 | 3 | 6.530 | 12441.3 |
393 | 2025-03-10 00:33:15 | wobbliest | 3 | 148641 | 90 | 32.053 | 4637.4 |
392 | 2025-03-10 00:31:41 | wobbliest | 1 | 81242 | 3 | 6.546 | 12410.9 |
391 | 2025-03-09 23:48:04 | wobbliest | 2 | 121436 | 18 | 12.313 | 9862.4 |
390 | 2025-03-09 15:55:08 | wobbliest | 3 | 148641 | 90 | 37.686 | 3944.2 |
389 | 2025-03-09 03:35:58 | wobbliest | 3 | 148641 | 90 | 29.300 | 5073.1 |
388 | 2025-03-09 03:35:46 | wobbliest | 3 | 148641 | 90 | 34.753 | 4277.1 |
387 | 2025-03-09 03:35:46 | wobbliest | 2 | 121436 | 18 | 17.516 | 6932.9 |
386 | 2025-03-08 21:41:22 | wobbliest | 1 | 81242 | 3 | 6.983 | 11634.3 |
385 | 2025-02-21 19:59:59 | wobbliest | 1 | 81242 | 3 | 3.376 | 24064.6 |
384 | 2025-02-21 09:09:00 | wobbliest | 3 | 148641 | 90 | 33.003 | 4503.9 |
383 | 2025-02-11 17:58:50 | wobbliest | 2 | 121436 | 18 | 14.596 | 8319.8 |
382 | 2025-02-11 01:23:46 | wobbliest | 3 | 148641 | 90 | 27.593 | 5386.9 |
381 | 2025-02-06 15:28:23 | wobbliest | 3 | 148641 | 90 | 41.126 | 3614.3 |
380 | 2025-02-04 21:11:36 | wobbliest | 3 | 148641 | 90 | 42.156 | 3526.0 |
379 | 2025-02-04 21:11:37 | wobbliest | 3 | 148641 | 90 | 28.970 | 5130.9 |
378 | 2025-02-04 21:11:34 | wobbliest | 2 | 121436 | 18 | 13.986 | 8682.7 |
377 | 2025-02-04 21:09:02 | wobbliest | 1 | 81242 | 3 | 3.656 | 22221.6 |
376 | 2025-01-04 22:33:29 | wobbliest | 1 | 81242 | 3 | 3.436 | 23644.4 |
375 | 2024-12-28 08:35:02 | wobbliest | 1 | 81242 | 3 | 3.016 | 26937.0 |
374 | 2024-12-24 12:31:31 | wobbliest | 3 | 148641 | 90 | 34.143 | 4353.5 |
373 | 2024-12-22 02:32:10 | wobbliest | 3 | 148641 | 90 | 13.720 | 10833.9 |
372 | 2024-12-21 09:51:39 | wobbliest | 1 | 81242 | 3 | 6.436 | 12623.1 |
371 | 2024-12-21 07:51:37 | wobbliest | 3 | 148641 | 90 | 43.363 | 3427.8 |
370 | 2024-12-20 14:59:29 | wobbliest | 3 | 148641 | 90 | 35.033 | 4242.9 |
369 | 2024-12-19 00:17:21 | wobbliest | 3 | 148641 | 90 | 35.686 | 4165.2 |
368 | 2024-12-18 12:53:18 | wobbliest | 3 | 148641 | 90 | 32.923 | 4514.8 |
367 | 2024-12-18 00:55:58 | wobbliest | 3 | 148641 | 90 | 32.810 | 4530.4 |
366 | 2024-12-07 11:47:45 | wobbliest | 1 | 81242 | 3 | 1.346 | 60358.1 |
365 | 2024-12-05 19:57:37 | wobbliest | 1 | 81242 | 3 | 3.580 | 22693.3 |
364 | 2024-11-29 22:16:04 | wobbliest | 4 | 165329 | 602 | 38.113 | 4337.9 |
363 | 2024-11-27 22:47:45 | wobbliest | 1 | 81242 | 3 | 5.796 | 14016.9 |
362 | 2024-11-21 02:10:42 | wobbliest | 2 | 121436 | 18 | 25.233 | 4812.6 |
361 | 2024-11-21 01:06:26 | wobbliest | 1 | 81242 | 3 | 1.470 | 55266.7 |
360 | 2024-11-18 18:07:36 | wobbliest | 3 | 148641 | 90 | 18.660 | 7965.8 |
359 | 2024-11-12 10:10:06 | wobbliest | 4 | 165329 | 602 | 64.236 | 2573.8 |
358 | 2024-11-06 14:48:15 | wobbliest | 4 | 165329 | 602 | 79.206 | 2087.3 |
357 | 2024-11-04 15:17:59 | wobbliest | 4 | 165329 | 602 | 71.813 | 2302.2 |
356 | 2024-11-04 15:18:04 | wobbliest | 3 | 148641 | 90 | 26.826 | 5540.9 |
355 | 2024-11-04 15:18:10 | wobbliest | 2 | 121436 | 18 | 17.140 | 7084.9 |
354 | 2024-10-30 20:39:51 | wobbliest | 1 | 81242 | 3 | 1.450 | 56029.0 |
353 | 2024-10-28 04:50:12 | wobbliest | 1 | 81242 | 3 | 6.326 | 12842.6 |
352 | 2024-10-22 05:18:17 | wobbliest | 1 | 81242 | 3 | 6.576 | 12354.3 |
351 | 2024-10-22 02:04:52 | wobbliest | 2 | 121436 | 18 | 21.406 | 5673.0 |
350 | 2024-10-22 01:46:29 | wobbliest | 1 | 81242 | 3 | 6.716 | 12096.8 |
349 | 2024-10-13 02:02:40 | wobbliest | 3 | 148641 | 90 | 27.516 | 5402.0 |
348 | 2024-10-04 07:37:58 | wobbliest | 3 | 148641 | 90 | 72.220 | 2058.2 |
347 | 2024-10-04 07:37:41 | wobbliest | 2 | 121436 | 18 | 26.703 | 4547.7 |
346 | 2024-10-04 07:37:02 | wobbliest | 3 | 148641 | 90 | 46.723 | 3181.3 |
345 | 2024-09-30 23:37:58 | wobbliest | 3 | 148641 | 90 | 67.973 | 2186.8 |
344 | 2024-09-30 14:21:05 | wobbliest | 3 | 148641 | 90 | 54.313 | 2736.7 |
343 | 2024-09-28 19:56:50 | wobbliest | 3 | 148641 | 90 | 64.330 | 2310.6 |
342 | 2024-09-28 19:56:48 | wobbliest | 3 | 148641 | 90 | 40.330 | 3685.6 |
341 | 2024-09-28 19:56:51 | wobbliest | 2 | 121436 | 18 | 26.720 | 4544.8 |