History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coarser"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
446 | 2025-05-24 16:49:30 | coarser | 2 | 107671 | 56 | 24.713 | 4356.9 |
445 | 2025-05-20 08:08:05 | coarser | 1 | 69583 | 5 | 7.266 | 9576.5 |
444 | 2025-05-19 10:10:13 | coarser | 3 | 134027 | 620 | 6.063 | 22105.7 |
443 | 2025-05-18 08:22:06 | coarser | 2 | 107671 | 56 | 9.596 | 11220.4 |
442 | 2025-05-18 04:17:22 | coarser | 3 | 134027 | 620 | 35.280 | 3799.0 |
441 | 2025-05-17 00:34:38 | coarser | 1 | 69583 | 5 | 1.280 | 54361.7 |
440 | 2025-05-16 17:47:43 | coarser | 3 | 134027 | 620 | 54.630 | 2453.4 |
439 | 2025-05-16 09:09:56 | coarser | 3 | 134027 | 620 | 31.740 | 4222.7 |
438 | 2025-05-14 05:56:16 | coarser | 3 | 134027 | 620 | 35.843 | 3739.3 |
437 | 2025-05-13 04:07:13 | coarser | 1 | 69583 | 5 | 1.283 | 54234.6 |
436 | 2025-05-07 00:24:04 | coarser | 1 | 69583 | 5 | 1.126 | 61796.6 |
435 | 2025-05-06 10:40:40 | coarser | 1 | 69583 | 5 | 5.843 | 11908.8 |
434 | 2025-05-05 09:47:55 | coarser | 1 | 69583 | 5 | 1.406 | 49490.0 |
433 | 2025-05-01 02:02:46 | coarser | 1 | 69583 | 5 | 6.310 | 11027.4 |
432 | 2025-04-29 15:38:05 | coarser | 1 | 69583 | 5 | 5.546 | 12546.5 |
431 | 2025-04-28 11:36:56 | coarser | 1 | 69583 | 5 | 6.470 | 10754.7 |
430 | 2025-04-20 05:36:33 | coarser | 1 | 69583 | 5 | 3.140 | 22160.2 |
429 | 2025-04-17 17:45:43 | coarser | 1 | 69583 | 5 | 1.093 | 63662.4 |
428 | 2025-04-09 04:02:24 | coarser | 1 | 69583 | 5 | 3.063 | 22717.3 |
427 | 2025-04-05 11:20:29 | coarser | 2 | 107671 | 56 | 2.936 | 36672.7 |
426 | 2025-03-23 10:31:24 | coarser | 1 | 69583 | 5 | 5.483 | 12690.7 |
425 | 2025-03-20 14:09:47 | coarser | 1 | 69583 | 5 | 6.220 | 11187.0 |
424 | 2025-03-08 00:42:11 | coarser | 1 | 69583 | 5 | 8.720 | 7979.7 |
423 | 2025-03-06 16:39:45 | coarser | 2 | 107671 | 56 | 11.283 | 9542.8 |
422 | 2025-03-06 00:39:01 | coarser | 1 | 69583 | 5 | 5.843 | 11908.8 |
421 | 2025-03-06 00:38:33 | coarser | 2 | 107671 | 56 | 23.326 | 4615.9 |
420 | 2025-03-05 10:42:13 | coarser | 3 | 134027 | 620 | 36.880 | 3634.1 |
419 | 2025-03-04 08:35:39 | coarser | 3 | 134027 | 620 | 6.216 | 21561.6 |
418 | 2025-02-18 06:06:20 | coarser | 1 | 69583 | 5 | 5.830 | 11935.3 |
417 | 2025-02-14 08:03:38 | coarser | 1 | 69583 | 5 | 2.906 | 23944.6 |
416 | 2025-02-11 20:00:44 | coarser | 1 | 69583 | 5 | 6.033 | 11533.7 |
415 | 2025-02-10 03:39:35 | coarser | 3 | 134027 | 620 | 17.360 | 7720.4 |
414 | 2025-02-10 02:21:45 | coarser | 3 | 134027 | 620 | 27.690 | 4840.3 |
413 | 2025-02-10 02:21:44 | coarser | 2 | 107671 | 56 | 21.000 | 5127.2 |
412 | 2025-02-10 02:06:40 | coarser | 1 | 69583 | 5 | 4.576 | 15206.1 |
411 | 2025-02-09 06:08:43 | coarser | 3 | 134027 | 620 | 24.110 | 5559.0 |
410 | 2025-02-09 06:08:42 | coarser | 2 | 107671 | 56 | 26.003 | 4140.7 |
409 | 2025-02-09 05:34:03 | coarser | 1 | 69583 | 5 | 5.533 | 12576.0 |
408 | 2025-02-05 14:56:43 | coarser | 1 | 69583 | 5 | 4.983 | 13964.1 |
407 | 2025-01-31 11:16:41 | coarser | 1 | 69583 | 5 | 8.970 | 7757.3 |
406 | 2025-01-08 15:28:00 | coarser | 1 | 69583 | 5 | 6.000 | 11597.2 |
405 | 2024-12-27 15:41:03 | coarser | 1 | 69583 | 5 | 7.953 | 8749.3 |
404 | 2024-12-10 17:04:48 | coarser | 1 | 69583 | 5 | 7.626 | 9124.4 |
403 | 2024-12-09 14:50:53 | coarser | 1 | 69583 | 5 | 7.736 | 8994.7 |
402 | 2024-11-10 09:49:42 | coarser | 1 | 69583 | 5 | 2.783 | 25002.9 |
401 | 2024-11-09 17:49:40 | coarser | 1 | 69583 | 5 | 3.063 | 22717.3 |
400 | 2024-11-07 21:39:38 | coarser | 1 | 69583 | 5 | 3.140 | 22160.2 |
399 | 2024-10-25 01:26:45 | coarser | 2 | 107671 | 56 | 8.656 | 12438.9 |
398 | 2024-10-25 01:22:17 | coarser | 1 | 69583 | 5 | 5.656 | 12302.5 |
397 | 2024-10-25 01:21:46 | coarser | 1 | 69583 | 5 | 5.656 | 12302.5 |
396 | 2024-10-10 12:17:37 | coarser | 1 | 69583 | 5 | 3.330 | 20895.8 |
395 | 2024-09-26 08:43:49 | coarser | 1 | 69583 | 5 | 9.750 | 7136.7 |
394 | 2024-09-20 13:53:10 | coarser | 1 | 69583 | 5 | 9.076 | 7666.7 |
393 | 2024-09-06 05:43:26 | coarser | 1 | 69583 | 5 | 5.766 | 12067.8 |
392 | 2024-09-04 13:00:08 | coarser | 1 | 69583 | 5 | 6.560 | 10607.2 |
391 | 2024-08-27 08:12:44 | coarser | 1 | 69583 | 5 | 5.936 | 11722.2 |
390 | 2024-08-22 14:27:23 | coarser | 1 | 69583 | 5 | 1.250 | 55666.4 |
389 | 2024-08-20 12:51:07 | coarser | 1 | 69583 | 5 | 4.046 | 17198.0 |
388 | 2024-08-17 02:37:52 | coarser | 1 | 69583 | 5 | 11.266 | 6176.4 |
387 | 2024-08-13 00:02:25 | coarser | 1 | 69583 | 5 | 9.813 | 7090.9 |
386 | 2024-08-10 15:08:19 | coarser | 1 | 69583 | 5 | 4.623 | 15051.5 |
385 | 2024-08-08 19:47:58 | coarser | 1 | 69583 | 5 | 6.233 | 11163.6 |
384 | 2024-08-01 23:54:42 | coarser | 3 | 134027 | 620 | 31.376 | 4271.6 |
383 | 2024-08-01 11:31:39 | coarser | 3 | 134027 | 620 | 25.893 | 5176.2 |
382 | 2024-08-01 10:26:53 | coarser | 3 | 134027 | 620 | 13.640 | 9826.0 |
381 | 2024-08-01 07:59:49 | coarser | 3 | 134027 | 620 | 25.890 | 5176.8 |
380 | 2024-08-01 07:59:45 | coarser | 1 | 69583 | 5 | 4.173 | 16674.6 |
379 | 2024-07-24 11:08:20 | coarser | 1 | 69583 | 5 | 4.313 | 16133.3 |
378 | 2024-07-16 14:08:04 | coarser | 1 | 69583 | 5 | 3.876 | 17952.3 |
377 | 2024-07-11 19:39:08 | coarser | 1 | 69583 | 5 | 6.500 | 10705.1 |
376 | 2024-07-08 11:16:10 | coarser | 2 | 107671 | 56 | 14.936 | 7208.8 |
375 | 2024-07-07 12:02:48 | coarser | 1 | 69583 | 5 | 4.296 | 16197.2 |
374 | 2024-07-07 02:42:41 | coarser | 2 | 107671 | 56 | 14.296 | 7531.5 |
373 | 2024-07-07 01:39:34 | coarser | 1 | 69583 | 5 | 4.610 | 15093.9 |
372 | 2024-07-01 19:25:23 | coarser | 1 | 69583 | 5 | 4.890 | 14229.7 |
371 | 2024-07-01 16:25:16 | coarser | 1 | 69583 | 5 | 3.923 | 17737.2 |
370 | 2024-06-10 13:04:45 | coarser | 1 | 69583 | 5 | 2.220 | 31343.7 |
369 | 2024-05-20 02:29:17 | coarser | 1 | 69583 | 5 | 1.406 | 49490.0 |
368 | 2024-05-01 21:02:04 | coarser | 1 | 69583 | 5 | 1.453 | 47889.2 |
367 | 2024-04-28 04:51:08 | coarser | 1 | 69583 | 5 | 1.686 | 41271.1 |
366 | 2024-04-20 21:52:29 | coarser | 1 | 69583 | 5 | 3.343 | 20814.5 |
365 | 2024-04-04 07:20:51 | coarser | 1 | 69583 | 5 | 1.156 | 60192.9 |
364 | 2024-03-30 06:51:19 | coarser | 1 | 69583 | 5 | 2.406 | 28920.6 |
363 | 2024-03-30 00:10:43 | coarser | 1 | 69583 | 5 | 1.343 | 51811.6 |
362 | 2024-03-20 19:58:58 | coarser | 1 | 69583 | 5 | 2.016 | 34515.4 |
361 | 2024-03-04 17:50:31 | coarser | 1 | 69583 | 5 | 3.203 | 21724.3 |
360 | 2024-02-28 15:37:51 | coarser | 2 | 107671 | 56 | 10.986 | 9800.7 |
359 | 2024-02-28 12:02:03 | coarser | 1 | 69583 | 5 | 1.266 | 54962.9 |
358 | 2024-02-28 08:55:46 | coarser | 3 | 134027 | 620 | 39.906 | 3358.6 |
357 | 2024-02-27 00:54:44 | coarser | 3 | 134027 | 620 | 8.046 | 16657.6 |
356 | 2024-02-27 00:54:43 | coarser | 2 | 107671 | 56 | 3.653 | 29474.7 |
355 | 2024-02-27 00:54:41 | coarser | 1 | 69583 | 5 | 1.313 | 52995.4 |
354 | 2024-02-21 14:36:24 | coarser | 3 | 134027 | 620 | 19.140 | 7002.5 |
353 | 2024-02-18 22:03:27 | coarser | 3 | 134027 | 620 | 18.033 | 7432.3 |
352 | 2024-02-18 22:03:26 | coarser | 2 | 107671 | 56 | 14.110 | 7630.8 |
351 | 2024-02-18 13:39:57 | coarser | 1 | 69583 | 5 | 1.173 | 59320.5 |
350 | 2024-01-19 12:43:47 | coarser | 1 | 69583 | 5 | 1.143 | 60877.5 |
349 | 2023-12-24 17:20:42 | coarser | 1 | 69583 | 5 | 1.126 | 61796.6 |
348 | 2023-12-24 00:40:50 | coarser | 1 | 69583 | 5 | 1.173 | 59320.5 |
347 | 2023-12-18 06:05:41 | coarser | 3 | 134027 | 620 | 7.063 | 18975.9 |