History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coarsen"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
451 | 2025-09-03 12:22:13 | coarsen | 3 | 134027 | 330 | 6.080 | 22043.9 |
450 | 2025-09-01 20:04:34 | coarsen | 3 | 134027 | 330 | 6.626 | 20227.4 |
449 | 2025-08-30 05:56:21 | coarsen | 1 | 69583 | 5 | 1.326 | 52475.9 |
448 | 2025-08-20 23:21:10 | coarsen | 1 | 69583 | 5 | 3.186 | 21840.2 |
447 | 2025-08-14 09:05:07 | coarsen | 1 | 69583 | 5 | 1.096 | 63488.1 |
446 | 2025-08-12 10:14:42 | coarsen | 1 | 69583 | 5 | 2.983 | 23326.5 |
445 | 2025-08-05 19:42:46 | coarsen | 1 | 69583 | 5 | 3.126 | 22259.4 |
444 | 2025-08-05 12:13:24 | coarsen | 2 | 107671 | 26 | 13.923 | 7733.3 |
443 | 2025-08-04 14:13:50 | coarsen | 1 | 69583 | 5 | 4.233 | 16438.2 |
442 | 2025-08-02 11:17:32 | coarsen | 1 | 69583 | 5 | 3.030 | 22964.7 |
441 | 2025-07-28 12:10:41 | coarsen | 3 | 134027 | 330 | 16.486 | 8129.7 |
440 | 2025-07-23 22:50:21 | coarsen | 1 | 69583 | 5 | 5.720 | 12164.9 |
439 | 2025-07-22 19:10:47 | coarsen | 1 | 69583 | 5 | 7.906 | 8801.3 |
438 | 2025-07-18 03:54:03 | coarsen | 1 | 69583 | 5 | 5.516 | 12614.8 |
437 | 2025-07-17 12:25:09 | coarsen | 1 | 69583 | 5 | 3.486 | 19960.7 |
436 | 2025-07-16 22:31:57 | coarsen | 1 | 69583 | 5 | 5.660 | 12293.8 |
435 | 2025-07-16 20:23:28 | coarsen | 1 | 69583 | 5 | 1.390 | 50059.7 |
434 | 2025-07-16 19:47:04 | coarsen | 1 | 69583 | 5 | 3.703 | 18791.0 |
433 | 2025-07-14 18:19:00 | coarsen | 2 | 107671 | 26 | 17.170 | 6270.9 |
432 | 2025-07-11 09:48:26 | coarsen | 3 | 134027 | 330 | 32.580 | 4113.8 |
431 | 2025-07-11 08:59:01 | coarsen | 2 | 107671 | 26 | 13.360 | 8059.2 |
430 | 2025-07-11 08:30:05 | coarsen | 3 | 134027 | 330 | 36.736 | 3648.4 |
429 | 2025-07-09 11:09:03 | coarsen | 1 | 69583 | 5 | 1.313 | 52995.4 |
428 | 2025-07-07 08:09:35 | coarsen | 1 | 69583 | 5 | 2.593 | 26834.9 |
427 | 2025-07-06 04:37:55 | coarsen | 3 | 134027 | 330 | 6.313 | 21230.3 |
426 | 2025-07-04 13:56:50 | coarsen | 1 | 69583 | 5 | 5.796 | 12005.3 |
425 | 2025-06-21 21:13:29 | coarsen | 1 | 69583 | 5 | 3.326 | 20920.9 |
424 | 2025-06-16 04:24:20 | coarsen | 1 | 69583 | 5 | 7.486 | 9295.1 |
423 | 2025-06-10 04:15:12 | coarsen | 3 | 134027 | 330 | 27.483 | 4876.7 |
422 | 2025-06-08 12:44:01 | coarsen | 3 | 134027 | 330 | 35.736 | 3750.5 |
421 | 2025-06-08 01:24:20 | coarsen | 3 | 134027 | 330 | 33.690 | 3978.2 |
420 | 2025-06-07 07:26:42 | coarsen | 1 | 69583 | 5 | 6.390 | 10889.4 |
419 | 2025-06-07 03:42:25 | coarsen | 1 | 69583 | 5 | 4.310 | 16144.5 |
418 | 2025-06-06 06:01:25 | coarsen | 3 | 134027 | 330 | 38.843 | 3450.5 |
417 | 2025-06-05 00:18:05 | coarsen | 1 | 69583 | 5 | 3.156 | 22047.8 |
416 | 2025-05-26 09:12:32 | coarsen | 2 | 107671 | 26 | 20.640 | 5216.6 |
415 | 2025-05-25 05:02:08 | coarsen | 3 | 134027 | 330 | 7.093 | 18895.7 |
414 | 2025-05-24 08:51:14 | coarsen | 2 | 107671 | 26 | 10.843 | 9930.0 |
413 | 2025-05-24 03:50:51 | coarsen | 3 | 134027 | 330 | 49.940 | 2683.8 |
412 | 2025-05-19 21:28:35 | coarsen | 1 | 69583 | 5 | 6.093 | 11420.2 |
411 | 2025-05-17 17:03:09 | coarsen | 1 | 69583 | 5 | 1.266 | 54962.9 |
410 | 2025-05-15 17:08:12 | coarsen | 1 | 69583 | 5 | 1.236 | 56296.9 |
409 | 2025-05-14 08:36:03 | coarsen | 1 | 69583 | 5 | 8.263 | 8421.0 |
408 | 2025-05-13 02:57:42 | coarsen | 3 | 134027 | 330 | 41.720 | 3212.5 |
407 | 2025-05-06 22:59:16 | coarsen | 3 | 134027 | 330 | 6.766 | 19808.9 |
406 | 2025-05-04 22:20:44 | coarsen | 3 | 134027 | 330 | 25.986 | 5157.7 |
405 | 2025-05-04 07:59:39 | coarsen | 1 | 69583 | 5 | 6.063 | 11476.7 |
404 | 2025-05-02 14:01:07 | coarsen | 1 | 69583 | 5 | 3.110 | 22374.0 |
403 | 2025-05-02 12:13:11 | coarsen | 3 | 134027 | 330 | 31.580 | 4244.0 |
402 | 2025-05-02 07:06:12 | coarsen | 3 | 134027 | 330 | 50.050 | 2677.9 |
401 | 2025-05-02 00:52:55 | coarsen | 3 | 134027 | 330 | 39.330 | 3407.8 |
400 | 2025-05-02 00:34:40 | coarsen | 1 | 69583 | 5 | 7.390 | 9415.8 |
399 | 2025-05-01 04:24:58 | coarsen | 3 | 134027 | 330 | 42.816 | 3130.3 |
398 | 2025-04-29 19:07:44 | coarsen | 3 | 134027 | 330 | 10.376 | 12917.0 |
397 | 2025-04-28 10:51:01 | coarsen | 1 | 69583 | 5 | 3.390 | 20526.0 |
396 | 2025-04-22 05:41:58 | coarsen | 2 | 107671 | 26 | 16.296 | 6607.2 |
395 | 2025-04-22 02:43:10 | coarsen | 3 | 134027 | 330 | 36.486 | 3673.4 |
394 | 2025-04-19 20:35:10 | coarsen | 1 | 69583 | 5 | 5.626 | 12368.1 |
393 | 2025-04-17 21:09:19 | coarsen | 1 | 69583 | 5 | 6.440 | 10804.8 |
392 | 2025-04-11 08:22:09 | coarsen | 1 | 69583 | 5 | 3.326 | 20920.9 |
391 | 2025-03-31 16:45:32 | coarsen | 1 | 69583 | 5 | 6.000 | 11597.2 |
390 | 2025-03-31 11:27:42 | coarsen | 2 | 107671 | 26 | 9.453 | 11390.1 |
389 | 2025-03-30 12:09:54 | coarsen | 1 | 69583 | 5 | 5.593 | 12441.1 |
388 | 2025-03-30 00:38:04 | coarsen | 1 | 69583 | 5 | 1.220 | 57035.2 |
387 | 2025-03-28 07:40:59 | coarsen | 3 | 134027 | 330 | 35.203 | 3807.3 |
386 | 2025-03-27 08:39:59 | coarsen | 3 | 134027 | 330 | 20.266 | 6613.4 |
385 | 2025-03-25 15:03:23 | coarsen | 3 | 134027 | 330 | 18.280 | 7331.9 |
384 | 2025-03-25 14:39:56 | coarsen | 2 | 107671 | 26 | 25.830 | 4168.4 |
383 | 2025-03-24 13:10:23 | coarsen | 1 | 69583 | 5 | 2.546 | 27330.3 |
382 | 2025-03-19 21:49:12 | coarsen | 1 | 69583 | 5 | 3.080 | 22591.9 |
381 | 2025-03-05 21:02:17 | coarsen | 1 | 69583 | 5 | 4.016 | 17326.4 |
380 | 2025-02-21 23:57:48 | coarsen | 1 | 69583 | 5 | 4.110 | 16930.2 |
379 | 2025-02-21 18:08:19 | coarsen | 1 | 69583 | 5 | 6.156 | 11303.3 |
378 | 2025-02-10 02:34:35 | coarsen | 1 | 69583 | 5 | 4.690 | 14836.5 |
377 | 2025-02-05 16:19:18 | coarsen | 3 | 134027 | 330 | 33.593 | 3989.7 |
376 | 2025-02-05 04:59:10 | coarsen | 3 | 134027 | 330 | 33.160 | 4041.8 |
375 | 2025-01-29 20:28:04 | coarsen | 1 | 69583 | 5 | 5.810 | 11976.4 |
374 | 2025-01-18 05:24:03 | coarsen | 1 | 69583 | 5 | 8.986 | 7743.5 |
373 | 2025-01-08 15:28:15 | coarsen | 1 | 69583 | 5 | 5.810 | 11976.4 |
372 | 2025-01-07 17:01:13 | coarsen | 2 | 107671 | 26 | 14.876 | 7237.9 |
371 | 2025-01-07 14:39:43 | coarsen | 3 | 134027 | 330 | 37.126 | 3610.1 |
370 | 2025-01-06 12:27:42 | coarsen | 3 | 134027 | 330 | 32.953 | 4067.2 |
369 | 2025-01-06 07:46:06 | coarsen | 3 | 134027 | 330 | 6.830 | 19623.3 |
368 | 2025-01-06 07:46:04 | coarsen | 2 | 107671 | 26 | 3.406 | 31612.2 |
367 | 2025-01-06 07:46:04 | coarsen | 1 | 69583 | 5 | 1.263 | 55093.4 |
366 | 2024-12-27 15:34:51 | coarsen | 1 | 69583 | 5 | 5.890 | 11813.8 |
365 | 2024-12-15 11:52:13 | coarsen | 1 | 69583 | 5 | 3.050 | 22814.1 |
364 | 2024-12-09 14:49:25 | coarsen | 1 | 69583 | 5 | 6.016 | 11566.3 |
363 | 2024-11-14 15:42:14 | coarsen | 1 | 69583 | 5 | 8.453 | 8231.8 |
362 | 2024-11-09 07:22:35 | coarsen | 1 | 69583 | 5 | 6.360 | 10940.7 |
361 | 2024-10-14 17:06:25 | coarsen | 1 | 69583 | 5 | 3.266 | 21305.3 |
360 | 2024-10-02 16:50:17 | coarsen | 1 | 69583 | 5 | 7.393 | 9412.0 |
359 | 2024-09-23 16:15:00 | coarsen | 1 | 69583 | 5 | 12.283 | 5665.0 |
358 | 2024-09-10 08:20:21 | coarsen | 1 | 69583 | 5 | 4.893 | 14220.9 |
357 | 2024-09-06 05:43:31 | coarsen | 1 | 69583 | 5 | 8.953 | 7772.0 |
356 | 2024-09-05 01:24:54 | coarsen | 1 | 69583 | 5 | 8.953 | 7772.0 |
355 | 2024-08-19 04:33:42 | coarsen | 1 | 69583 | 5 | 2.093 | 33245.6 |
354 | 2024-08-16 23:09:57 | coarsen | 1 | 69583 | 5 | 13.143 | 5294.3 |
353 | 2024-08-14 13:25:26 | coarsen | 1 | 69583 | 5 | 10.063 | 6914.7 |
352 | 2024-08-14 01:00:13 | coarsen | 3 | 134027 | 330 | 28.390 | 4720.9 |