History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"graduated"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
425 | 2025-08-27 07:53:28 | graduated | 1 | 81242 | 4 | 1.263 | 64324.6 |
424 | 2025-08-25 10:28:23 | graduated | 1 | 81242 | 4 | 7.580 | 10717.9 |
423 | 2025-08-20 20:43:57 | graduated | 1 | 81242 | 4 | 5.470 | 14852.3 |
422 | 2025-08-10 13:59:03 | graduated | 1 | 81242 | 4 | 5.593 | 14525.7 |
421 | 2025-08-09 07:42:23 | graduated | 1 | 81242 | 4 | 3.173 | 25604.2 |
420 | 2025-08-05 00:52:50 | graduated | 1 | 81242 | 4 | 6.876 | 11815.3 |
419 | 2025-07-27 10:15:30 | graduated | 1 | 81242 | 4 | 4.190 | 19389.5 |
418 | 2025-07-25 23:54:17 | graduated | 4 | 165329 | 470 | 48.910 | 3380.3 |
417 | 2025-07-25 10:56:10 | graduated | 4 | 165329 | 470 | 50.620 | 3266.1 |
416 | 2025-07-24 17:52:36 | graduated | 4 | 165329 | 470 | 36.816 | 4490.7 |
415 | 2025-07-24 16:27:21 | graduated | 4 | 165329 | 470 | 69.426 | 2381.4 |
414 | 2025-07-24 14:44:24 | graduated | 4 | 165329 | 470 | 43.643 | 3788.2 |
413 | 2025-07-23 11:40:33 | graduated | 4 | 165329 | 470 | 50.466 | 3276.0 |
412 | 2025-07-23 01:02:55 | graduated | 4 | 165329 | 470 | 43.190 | 3827.9 |
411 | 2025-07-22 14:43:07 | graduated | 1 | 81242 | 4 | 4.656 | 17448.9 |
410 | 2025-07-20 02:12:25 | graduated | 4 | 165329 | 470 | 12.143 | 13615.2 |
409 | 2025-07-19 10:07:54 | graduated | 4 | 165329 | 470 | 34.080 | 4851.2 |
408 | 2025-07-13 16:28:38 | graduated | 3 | 148641 | 54 | 11.860 | 12533.0 |
407 | 2025-07-09 21:55:04 | graduated | 3 | 148641 | 54 | 41.603 | 3572.8 |
406 | 2025-07-09 16:27:21 | graduated | 3 | 148641 | 54 | 7.110 | 20905.9 |
405 | 2025-07-08 09:29:49 | graduated | 2 | 121436 | 12 | 19.173 | 6333.7 |
404 | 2025-07-08 08:11:43 | graduated | 3 | 148641 | 54 | 50.173 | 2962.6 |
403 | 2025-07-07 10:33:29 | graduated | 1 | 81242 | 4 | 3.143 | 25848.6 |
402 | 2025-07-06 20:24:32 | graduated | 1 | 81242 | 4 | 6.686 | 12151.1 |
401 | 2025-06-16 20:43:21 | graduated | 3 | 148641 | 54 | 36.280 | 4097.1 |
400 | 2025-06-15 22:36:48 | graduated | 2 | 121436 | 12 | 25.623 | 4739.3 |
399 | 2025-06-15 22:06:31 | graduated | 4 | 165329 | 470 | 52.270 | 3163.0 |
398 | 2025-06-15 04:35:44 | graduated | 4 | 165329 | 470 | 23.596 | 7006.7 |
397 | 2025-06-14 07:08:19 | graduated | 4 | 165329 | 470 | 40.676 | 4064.5 |
396 | 2025-06-12 10:54:28 | graduated | 4 | 165329 | 470 | 54.676 | 3023.8 |
395 | 2025-06-11 05:52:03 | graduated | 4 | 165329 | 470 | 62.643 | 2639.2 |
394 | 2025-06-10 12:22:57 | graduated | 1 | 81242 | 4 | 6.906 | 11764.0 |
393 | 2025-06-10 10:56:17 | graduated | 1 | 81242 | 4 | 6.703 | 12120.2 |
392 | 2025-06-10 08:19:11 | graduated | 1 | 81242 | 4 | 5.903 | 13762.8 |
391 | 2025-06-09 12:56:34 | graduated | 3 | 148641 | 54 | 7.970 | 18650.1 |
390 | 2025-06-08 15:10:15 | graduated | 2 | 121436 | 12 | 14.173 | 8568.1 |
389 | 2025-06-06 16:29:50 | graduated | 3 | 148641 | 54 | 50.923 | 2918.9 |
388 | 2025-06-05 23:39:52 | graduated | 2 | 121436 | 12 | 18.393 | 6602.3 |
387 | 2025-06-05 09:50:14 | graduated | 1 | 81242 | 4 | 1.470 | 55266.7 |
386 | 2025-06-01 21:07:51 | graduated | 3 | 148641 | 54 | 49.203 | 3021.0 |
385 | 2025-06-01 10:16:34 | graduated | 4 | 165329 | 470 | 50.943 | 3245.4 |
384 | 2025-06-01 08:34:26 | graduated | 2 | 121436 | 12 | 18.643 | 6513.8 |
383 | 2025-06-01 06:47:34 | graduated | 3 | 148641 | 54 | 11.816 | 12579.6 |
382 | 2025-05-30 20:27:42 | graduated | 1 | 81242 | 4 | 2.703 | 30056.2 |
381 | 2025-05-28 17:24:51 | graduated | 1 | 81242 | 4 | 2.546 | 31909.7 |
380 | 2025-05-17 07:34:49 | graduated | 4 | 165329 | 470 | 12.000 | 13777.4 |
379 | 2025-05-14 13:49:05 | graduated | 4 | 165329 | 470 | 57.470 | 2876.8 |
378 | 2025-05-14 07:23:56 | graduated | 4 | 165329 | 470 | 62.503 | 2645.1 |
377 | 2025-05-13 15:06:33 | graduated | 4 | 165329 | 470 | 11.390 | 14515.3 |
376 | 2025-05-12 10:54:48 | graduated | 4 | 165329 | 470 | 41.893 | 3946.5 |
375 | 2025-05-11 23:41:41 | graduated | 1 | 81242 | 4 | 6.406 | 12682.2 |
374 | 2025-05-10 14:36:15 | graduated | 1 | 81242 | 4 | 4.780 | 16996.2 |
373 | 2025-05-09 10:51:12 | graduated | 1 | 81242 | 4 | 3.720 | 21839.2 |
372 | 2025-05-04 10:19:32 | graduated | 1 | 81242 | 4 | 4.483 | 18122.2 |
371 | 2025-05-03 13:25:55 | graduated | 4 | 165329 | 470 | 11.890 | 13904.9 |
370 | 2025-04-25 20:50:52 | graduated | 1 | 81242 | 4 | 6.220 | 13061.4 |
369 | 2025-04-25 11:43:36 | graduated | 4 | 165329 | 470 | 58.346 | 2833.6 |
368 | 2025-04-24 12:59:26 | graduated | 4 | 165329 | 470 | 62.863 | 2630.0 |
367 | 2025-04-22 18:34:38 | graduated | 4 | 165329 | 470 | 11.860 | 13940.1 |
366 | 2025-04-19 09:34:06 | graduated | 3 | 148641 | 54 | 7.233 | 20550.4 |
365 | 2025-04-11 22:56:14 | graduated | 1 | 81242 | 4 | 5.250 | 15474.7 |
364 | 2025-04-11 14:24:36 | graduated | 3 | 148641 | 54 | 36.300 | 4094.8 |
363 | 2025-04-11 06:48:44 | graduated | 3 | 148641 | 54 | 37.563 | 3957.1 |
362 | 2025-04-10 23:13:24 | graduated | 2 | 121436 | 12 | 17.593 | 6902.5 |
361 | 2025-04-10 22:20:03 | graduated | 3 | 148641 | 54 | 29.060 | 5115.0 |
360 | 2025-04-09 09:32:57 | graduated | 3 | 148641 | 54 | 41.093 | 3617.2 |
359 | 2025-04-09 08:16:32 | graduated | 2 | 121436 | 12 | 9.956 | 12197.3 |
358 | 2025-04-09 06:27:29 | graduated | 3 | 148641 | 54 | 39.283 | 3783.9 |
357 | 2025-04-08 21:21:25 | graduated | 3 | 148641 | 54 | 38.580 | 3852.8 |
356 | 2025-04-06 11:02:53 | graduated | 3 | 148641 | 54 | 33.346 | 4457.5 |
355 | 2025-04-04 16:08:04 | graduated | 3 | 148641 | 54 | 32.813 | 4529.9 |
354 | 2025-04-04 02:07:59 | graduated | 4 | 165329 | 470 | 63.800 | 2591.4 |
353 | 2025-04-03 22:59:34 | graduated | 2 | 121436 | 12 | 20.533 | 5914.2 |
352 | 2025-04-03 09:56:08 | graduated | 1 | 81242 | 4 | 4.826 | 16834.2 |
351 | 2025-03-31 09:30:46 | graduated | 1 | 81242 | 4 | 7.673 | 10588.0 |
350 | 2025-03-25 12:18:42 | graduated | 1 | 81242 | 4 | 6.563 | 12378.8 |
349 | 2025-03-21 01:51:47 | graduated | 4 | 165329 | 470 | 57.270 | 2886.8 |
348 | 2025-03-13 17:02:39 | graduated | 4 | 165329 | 470 | 76.580 | 2158.9 |
347 | 2025-03-12 07:44:28 | graduated | 1 | 81242 | 4 | 8.483 | 9577.0 |
346 | 2025-03-08 06:13:13 | graduated | 4 | 165329 | 470 | 62.423 | 2648.5 |
345 | 2025-03-07 07:22:34 | graduated | 4 | 165329 | 470 | 59.380 | 2784.3 |
344 | 2025-03-04 08:09:55 | graduated | 1 | 81242 | 4 | 6.170 | 13167.3 |
343 | 2025-03-01 14:11:28 | graduated | 1 | 81242 | 4 | 4.986 | 16294.0 |
342 | 2025-02-28 22:18:19 | graduated | 4 | 165329 | 470 | 69.433 | 2381.1 |
341 | 2025-02-28 05:59:22 | graduated | 4 | 165329 | 470 | 65.846 | 2510.8 |
340 | 2025-02-27 07:25:28 | graduated | 1 | 81242 | 4 | 6.593 | 12322.5 |
339 | 2025-02-23 13:58:49 | graduated | 3 | 148641 | 54 | 21.363 | 6957.9 |
338 | 2025-02-05 17:11:00 | graduated | 3 | 148641 | 54 | 35.830 | 4148.5 |
337 | 2025-02-05 07:36:59 | graduated | 2 | 121436 | 12 | 17.736 | 6846.9 |
336 | 2025-02-05 07:28:23 | graduated | 1 | 81242 | 4 | 3.206 | 25340.6 |
335 | 2025-02-03 19:32:17 | graduated | 1 | 81242 | 4 | 2.546 | 31909.7 |
334 | 2025-02-03 19:03:19 | graduated | 3 | 148641 | 54 | 37.483 | 3965.6 |
333 | 2025-02-03 19:02:45 | graduated | 4 | 165329 | 470 | 51.880 | 3186.8 |
332 | 2025-02-03 19:03:05 | graduated | 2 | 121436 | 12 | 24.296 | 4998.2 |
331 | 2025-02-03 16:00:32 | graduated | 3 | 148641 | 54 | 29.406 | 5054.8 |
330 | 2025-02-03 15:52:55 | graduated | 4 | 165329 | 470 | 60.613 | 2727.6 |
329 | 2025-02-03 15:53:15 | graduated | 2 | 121436 | 12 | 18.280 | 6643.1 |
328 | 2025-02-03 15:53:08 | graduated | 3 | 148641 | 54 | 23.143 | 6422.7 |
327 | 2025-02-03 15:50:42 | graduated | 1 | 81242 | 4 | 6.873 | 11820.5 |
326 | 2025-01-24 19:15:57 | graduated | 1 | 81242 | 4 | 5.140 | 15805.8 |