History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"covariance"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
468 | 2025-08-27 10:37:17 | covariance | 1 | 67641 | 2 | 1.250 | 54112.8 |
467 | 2025-08-26 19:39:27 | covariance | 1 | 67641 | 2 | 1.170 | 57812.8 |
466 | 2025-08-24 19:52:32 | covariance | 1 | 67641 | 2 | 2.686 | 25182.8 |
465 | 2025-08-23 09:15:04 | covariance | 1 | 67641 | 2 | 4.186 | 16158.9 |
464 | 2025-08-17 14:20:44 | covariance | 4 | 161450 | 94 | 40.863 | 3951.0 |
463 | 2025-08-14 07:17:42 | covariance | 4 | 161450 | 94 | 10.360 | 15584.0 |
462 | 2025-08-09 04:47:15 | covariance | 1 | 67641 | 2 | 6.660 | 10156.3 |
461 | 2025-08-03 06:22:54 | covariance | 1 | 67641 | 2 | 1.093 | 61885.6 |
460 | 2025-07-27 21:36:11 | covariance | 4 | 161450 | 94 | 42.926 | 3761.1 |
459 | 2025-07-27 17:09:22 | covariance | 4 | 161450 | 94 | 49.080 | 3289.5 |
458 | 2025-07-24 23:15:49 | covariance | 1 | 67641 | 2 | 2.063 | 32787.7 |
457 | 2025-07-23 22:51:55 | covariance | 1 | 67641 | 2 | 7.530 | 8982.9 |
456 | 2025-07-23 13:13:59 | covariance | 1 | 67641 | 2 | 3.466 | 19515.6 |
455 | 2025-07-22 21:11:27 | covariance | 1 | 67641 | 2 | 5.766 | 11731.0 |
454 | 2025-07-16 22:41:05 | covariance | 4 | 161450 | 94 | 43.626 | 3700.8 |
453 | 2025-07-16 21:50:12 | covariance | 4 | 161450 | 94 | 42.423 | 3805.7 |
452 | 2025-07-15 12:42:04 | covariance | 4 | 161450 | 94 | 50.280 | 3211.0 |
451 | 2025-07-10 23:03:52 | covariance | 1 | 67641 | 2 | 2.920 | 23164.7 |
450 | 2025-06-10 06:53:48 | covariance | 1 | 67641 | 2 | 5.813 | 11636.2 |
449 | 2025-06-07 22:44:03 | covariance | 2 | 108824 | 6 | 16.063 | 6774.8 |
448 | 2025-06-07 11:48:54 | covariance | 3 | 140603 | 19 | 16.096 | 8735.3 |
447 | 2025-06-07 10:56:05 | covariance | 1 | 67641 | 2 | 1.156 | 58513.0 |
446 | 2025-06-06 12:01:06 | covariance | 3 | 140603 | 19 | 16.890 | 8324.6 |
445 | 2025-06-06 09:25:51 | covariance | 3 | 140603 | 19 | 30.190 | 4657.3 |
444 | 2025-06-05 20:53:38 | covariance | 1 | 67641 | 2 | 1.233 | 54858.9 |
443 | 2025-06-05 20:20:48 | covariance | 2 | 108824 | 6 | 2.686 | 40515.3 |
442 | 2025-06-05 15:56:32 | covariance | 3 | 140603 | 19 | 6.986 | 20126.4 |
441 | 2025-06-04 12:54:02 | covariance | 3 | 140603 | 19 | 31.126 | 4517.2 |
440 | 2025-06-04 10:23:49 | covariance | 4 | 161450 | 94 | 67.846 | 2379.7 |
439 | 2025-06-04 01:22:36 | covariance | 2 | 108824 | 6 | 17.733 | 6136.8 |
438 | 2025-06-03 23:43:31 | covariance | 4 | 161450 | 94 | 88.973 | 1814.6 |
437 | 2025-06-03 20:28:27 | covariance | 4 | 161450 | 94 | 50.860 | 3174.4 |
436 | 2025-06-03 09:29:10 | covariance | 1 | 67641 | 2 | 1.186 | 57032.9 |
435 | 2025-06-01 21:52:30 | covariance | 4 | 161450 | 94 | 61.270 | 2635.1 |
434 | 2025-05-31 18:29:19 | covariance | 4 | 161450 | 94 | 49.226 | 3279.8 |
433 | 2025-05-31 15:24:54 | covariance | 2 | 108824 | 6 | 20.286 | 5364.5 |
432 | 2025-05-28 13:39:29 | covariance | 1 | 67641 | 2 | 1.233 | 54858.9 |
431 | 2025-05-15 23:35:00 | covariance | 1 | 67641 | 2 | 4.623 | 14631.4 |
430 | 2025-04-30 03:14:39 | covariance | 1 | 67641 | 2 | 7.233 | 9351.7 |
429 | 2025-04-10 21:09:13 | covariance | 1 | 67641 | 2 | 8.923 | 7580.5 |
428 | 2025-04-02 15:39:51 | covariance | 3 | 140603 | 19 | 26.220 | 5362.4 |
427 | 2025-04-01 20:19:08 | covariance | 2 | 108824 | 6 | 28.190 | 3860.4 |
426 | 2025-03-31 11:55:36 | covariance | 3 | 140603 | 19 | 32.770 | 4290.6 |
425 | 2025-03-24 08:34:53 | covariance | 1 | 67641 | 2 | 5.266 | 12844.9 |
424 | 2025-03-16 07:40:41 | covariance | 3 | 140603 | 19 | 48.406 | 2904.7 |
423 | 2025-03-13 13:39:33 | covariance | 1 | 67641 | 2 | 4.346 | 15564.0 |
422 | 2025-03-04 16:14:45 | covariance | 1 | 67641 | 2 | 8.546 | 7914.9 |
421 | 2025-02-23 11:53:18 | covariance | 3 | 140603 | 19 | 34.500 | 4075.4 |
420 | 2025-02-22 13:29:06 | covariance | 2 | 108824 | 6 | 20.860 | 5216.9 |
419 | 2025-02-22 08:43:39 | covariance | 3 | 140603 | 19 | 32.160 | 4372.0 |
418 | 2025-02-22 08:43:37 | covariance | 2 | 108824 | 6 | 14.780 | 7362.9 |
417 | 2025-02-22 04:25:03 | covariance | 4 | 161450 | 94 | 48.286 | 3343.6 |
416 | 2025-02-20 08:53:09 | covariance | 3 | 140603 | 19 | 22.530 | 6240.7 |
415 | 2025-02-17 21:44:17 | covariance | 3 | 140603 | 19 | 38.690 | 3634.1 |
414 | 2025-02-16 05:55:58 | covariance | 1 | 67641 | 2 | 5.983 | 11305.5 |
413 | 2025-02-16 05:01:14 | covariance | 1 | 67641 | 2 | 5.860 | 11542.8 |
412 | 2025-02-15 12:37:05 | covariance | 3 | 140603 | 19 | 28.223 | 4981.9 |
411 | 2025-02-15 08:58:11 | covariance | 4 | 161450 | 94 | 59.376 | 2719.1 |
410 | 2025-02-08 17:53:17 | covariance | 4 | 161450 | 94 | 58.176 | 2775.2 |
409 | 2025-02-04 03:49:00 | covariance | 2 | 108824 | 6 | 16.110 | 6755.1 |
408 | 2025-02-01 13:09:34 | covariance | 1 | 67641 | 2 | 5.953 | 11362.5 |
407 | 2025-01-30 12:44:23 | covariance | 3 | 140603 | 19 | 26.720 | 5262.1 |
406 | 2025-01-22 13:02:51 | covariance | 2 | 108824 | 6 | 15.236 | 7142.6 |
405 | 2025-01-22 13:02:37 | covariance | 3 | 140603 | 19 | 17.016 | 8263.0 |
404 | 2025-01-21 17:52:26 | covariance | 3 | 140603 | 19 | 30.656 | 4586.5 |
403 | 2025-01-21 17:51:31 | covariance | 1 | 67641 | 2 | 5.593 | 12093.9 |
402 | 2025-01-21 16:37:36 | covariance | 3 | 140603 | 19 | 39.050 | 3600.6 |
401 | 2025-01-21 10:31:41 | covariance | 2 | 108824 | 6 | 15.456 | 7040.9 |
400 | 2025-01-19 21:06:41 | covariance | 3 | 140603 | 19 | 31.706 | 4434.6 |
399 | 2025-01-19 03:38:47 | covariance | 3 | 140603 | 19 | 16.640 | 8449.7 |
398 | 2025-01-18 21:12:16 | covariance | 4 | 161450 | 94 | 58.783 | 2746.5 |
397 | 2025-01-18 21:12:40 | covariance | 3 | 140603 | 19 | 30.110 | 4669.6 |
396 | 2025-01-18 21:12:40 | covariance | 2 | 108824 | 6 | 16.343 | 6658.8 |
395 | 2025-01-18 18:16:22 | covariance | 4 | 161450 | 94 | 35.623 | 4532.2 |
394 | 2025-01-18 05:04:54 | covariance | 4 | 161450 | 94 | 75.803 | 2129.9 |
393 | 2025-01-13 10:51:02 | covariance | 1 | 67641 | 2 | 6.286 | 10760.6 |
392 | 2025-01-08 08:09:09 | covariance | 4 | 161450 | 94 | 55.780 | 2894.4 |
391 | 2025-01-07 04:24:18 | covariance | 1 | 67641 | 2 | 3.220 | 21006.5 |
390 | 2024-12-23 20:27:45 | covariance | 2 | 108824 | 6 | 18.690 | 5822.6 |
389 | 2024-12-23 20:25:21 | covariance | 4 | 161450 | 94 | 47.440 | 3403.2 |
388 | 2024-12-23 20:25:04 | covariance | 1 | 67641 | 2 | 1.173 | 57665.0 |
387 | 2024-12-16 05:54:59 | covariance | 4 | 161450 | 94 | 60.816 | 2654.7 |
386 | 2024-12-14 09:29:56 | covariance | 4 | 161450 | 94 | 69.906 | 2309.5 |
385 | 2024-12-14 09:29:58 | covariance | 2 | 108824 | 6 | 16.110 | 6755.1 |
384 | 2024-12-13 18:21:29 | covariance | 3 | 140603 | 19 | 16.500 | 8521.4 |
383 | 2024-12-12 20:49:37 | covariance | 3 | 140603 | 19 | 32.563 | 4317.9 |
382 | 2024-12-12 17:46:09 | covariance | 2 | 108824 | 6 | 13.703 | 7941.6 |
381 | 2024-12-12 17:45:34 | covariance | 3 | 140603 | 19 | 33.423 | 4206.8 |
380 | 2024-12-12 17:45:18 | covariance | 1 | 67641 | 2 | 2.686 | 25182.8 |
379 | 2024-12-12 17:43:56 | covariance | 3 | 140603 | 19 | 39.863 | 3527.2 |
378 | 2024-12-09 06:29:26 | covariance | 4 | 161450 | 94 | 63.110 | 2558.2 |
377 | 2024-12-06 19:42:43 | covariance | 3 | 140603 | 19 | 25.456 | 5523.4 |
376 | 2024-12-05 16:03:04 | covariance | 4 | 161450 | 94 | 42.096 | 3835.3 |
375 | 2024-12-05 16:03:04 | covariance | 3 | 140603 | 19 | 34.266 | 4103.3 |
374 | 2024-12-05 16:03:09 | covariance | 2 | 108824 | 6 | 7.376 | 14753.8 |
373 | 2024-12-05 16:01:16 | covariance | 1 | 67641 | 2 | 1.076 | 62863.4 |
372 | 2024-12-04 04:00:04 | covariance | 1 | 67641 | 2 | 5.810 | 11642.2 |
371 | 2024-11-13 00:26:13 | covariance | 4 | 161450 | 94 | 73.253 | 2204.0 |
370 | 2024-11-12 15:00:49 | covariance | 4 | 161450 | 94 | 68.113 | 2370.3 |
369 | 2024-11-08 04:18:42 | covariance | 1 | 67641 | 2 | 1.046 | 64666.3 |