History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"moistnesses"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
429 | 2025-08-08 08:26:09 | moistnesses | 4 | 148819 | 513 | 9.766 | 15238.5 |
428 | 2025-08-07 20:51:30 | moistnesses | 2 | 86808 | 10 | 6.343 | 13685.6 |
427 | 2025-08-07 19:23:19 | moistnesses | 3 | 121633 | 62 | 12.250 | 9929.2 |
426 | 2025-08-07 08:38:36 | moistnesses | 4 | 148819 | 513 | 26.863 | 5539.9 |
425 | 2025-08-04 14:29:44 | moistnesses | 1 | 49908 | 1 | 1.563 | 31930.9 |
424 | 2025-08-04 03:41:50 | moistnesses | 1 | 49908 | 1 | 1.846 | 27035.8 |
423 | 2025-08-01 17:57:44 | moistnesses | 1 | 49908 | 1 | 2.453 | 20345.7 |
422 | 2025-07-31 17:21:35 | moistnesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
421 | 2025-07-27 08:59:18 | moistnesses | 1 | 49908 | 1 | 1.643 | 30376.1 |
420 | 2025-07-22 22:38:11 | moistnesses | 2 | 86808 | 10 | 10.546 | 8231.4 |
419 | 2025-07-19 06:50:57 | moistnesses | 3 | 121633 | 62 | 5.236 | 23230.1 |
418 | 2025-07-11 19:07:18 | moistnesses | 3 | 121633 | 62 | 33.206 | 3663.0 |
417 | 2025-07-10 19:32:59 | moistnesses | 1 | 49908 | 1 | 2.360 | 21147.5 |
416 | 2025-07-07 01:53:41 | moistnesses | 1 | 49908 | 1 | 3.203 | 15581.6 |
415 | 2025-07-06 15:17:15 | moistnesses | 4 | 148819 | 513 | 9.783 | 15212.0 |
414 | 2025-07-04 05:49:31 | moistnesses | 2 | 86808 | 10 | 11.970 | 7252.1 |
413 | 2025-07-04 01:07:52 | moistnesses | 3 | 121633 | 62 | 20.516 | 5928.7 |
412 | 2025-07-03 12:36:34 | moistnesses | 4 | 148819 | 513 | 8.940 | 16646.4 |
411 | 2025-07-02 04:37:47 | moistnesses | 1 | 49908 | 1 | 2.190 | 22789.0 |
410 | 2025-07-01 06:42:34 | moistnesses | 4 | 148819 | 513 | 10.250 | 14518.9 |
409 | 2025-06-29 05:05:30 | moistnesses | 4 | 148819 | 513 | 8.390 | 17737.7 |
408 | 2025-06-26 23:08:37 | moistnesses | 2 | 86808 | 10 | 15.940 | 5445.9 |
407 | 2025-06-26 08:56:45 | moistnesses | 1 | 49908 | 1 | 6.343 | 7868.2 |
406 | 2025-06-25 17:17:56 | moistnesses | 3 | 121633 | 62 | 5.546 | 21931.7 |
405 | 2025-06-23 00:50:51 | moistnesses | 2 | 86808 | 10 | 2.610 | 33259.8 |
404 | 2025-06-22 19:46:01 | moistnesses | 3 | 121633 | 62 | 5.656 | 21505.1 |
403 | 2025-06-20 17:11:59 | moistnesses | 2 | 86808 | 10 | 7.983 | 10874.1 |
402 | 2025-06-15 16:40:40 | moistnesses | 1 | 49908 | 1 | 0.890 | 56076.4 |
401 | 2025-05-31 04:04:28 | moistnesses | 1 | 49908 | 1 | 6.110 | 8168.2 |
400 | 2025-05-30 16:37:02 | moistnesses | 1 | 49908 | 1 | 0.940 | 53093.6 |
399 | 2025-05-26 09:31:20 | moistnesses | 1 | 49908 | 1 | 5.546 | 8998.9 |
398 | 2025-05-26 08:01:36 | moistnesses | 1 | 49908 | 1 | 2.920 | 17091.8 |
397 | 2025-05-26 04:51:39 | moistnesses | 1 | 49908 | 1 | 3.953 | 12625.3 |
396 | 2025-05-22 08:33:54 | moistnesses | 1 | 49908 | 1 | 4.110 | 12143.1 |
395 | 2025-05-09 05:12:11 | moistnesses | 2 | 86808 | 10 | 2.233 | 38875.1 |
394 | 2025-05-07 16:21:28 | moistnesses | 4 | 148819 | 513 | 10.250 | 14518.9 |
393 | 2025-05-07 08:06:13 | moistnesses | 3 | 121633 | 62 | 4.706 | 25846.4 |
392 | 2025-05-06 18:17:40 | moistnesses | 4 | 148819 | 513 | 50.740 | 2933.0 |
391 | 2025-05-05 07:05:08 | moistnesses | 4 | 148819 | 513 | 45.363 | 3280.6 |
390 | 2025-05-05 06:17:12 | moistnesses | 3 | 121633 | 62 | 26.596 | 4573.4 |
389 | 2025-05-04 11:29:28 | moistnesses | 3 | 121633 | 62 | 30.830 | 3945.3 |
388 | 2025-05-03 16:28:52 | moistnesses | 4 | 148819 | 513 | 10.690 | 13921.3 |
387 | 2025-05-01 06:52:55 | moistnesses | 3 | 121633 | 62 | 25.156 | 4835.1 |
386 | 2025-04-26 08:22:11 | moistnesses | 3 | 121633 | 62 | 14.110 | 8620.3 |
385 | 2025-04-23 07:40:51 | moistnesses | 1 | 49908 | 1 | 2.516 | 19836.2 |
384 | 2025-04-22 19:06:33 | moistnesses | 3 | 121633 | 62 | 5.046 | 24104.8 |
383 | 2025-04-20 08:09:05 | moistnesses | 1 | 49908 | 1 | 5.686 | 8777.3 |
382 | 2025-04-02 15:09:39 | moistnesses | 1 | 49908 | 1 | 1.780 | 28038.2 |
381 | 2025-03-23 03:06:42 | moistnesses | 1 | 49908 | 1 | 1.830 | 27272.1 |
380 | 2025-03-20 10:52:13 | moistnesses | 1 | 49908 | 1 | 4.313 | 11571.5 |
379 | 2025-03-07 05:20:42 | moistnesses | 1 | 49908 | 1 | 2.126 | 23475.1 |
378 | 2025-02-21 08:42:36 | moistnesses | 1 | 49908 | 1 | 4.923 | 10137.7 |
377 | 2025-02-19 10:24:09 | moistnesses | 3 | 121633 | 62 | 26.296 | 4625.5 |
376 | 2025-02-19 10:24:08 | moistnesses | 2 | 86808 | 10 | 11.046 | 7858.8 |
375 | 2025-02-19 10:21:50 | moistnesses | 1 | 49908 | 1 | 1.373 | 36349.6 |
374 | 2025-02-19 05:06:42 | moistnesses | 3 | 121633 | 62 | 24.813 | 4902.0 |
373 | 2025-02-19 05:06:40 | moistnesses | 2 | 86808 | 10 | 6.300 | 13779.0 |
372 | 2025-02-19 05:06:32 | moistnesses | 1 | 49908 | 1 | 2.190 | 22789.0 |
371 | 2025-02-16 11:46:14 | moistnesses | 4 | 148819 | 513 | 48.676 | 3057.3 |
370 | 2025-02-16 05:03:24 | moistnesses | 4 | 148819 | 513 | 57.176 | 2602.8 |
369 | 2025-02-16 02:09:32 | moistnesses | 4 | 148819 | 513 | 44.470 | 3346.5 |
368 | 2025-02-16 01:44:50 | moistnesses | 4 | 148819 | 513 | 66.270 | 2245.6 |
367 | 2025-02-16 01:44:32 | moistnesses | 3 | 121633 | 62 | 24.656 | 4933.2 |
366 | 2025-02-16 01:44:32 | moistnesses | 2 | 86808 | 10 | 11.703 | 7417.6 |
365 | 2025-02-16 01:44:05 | moistnesses | 1 | 49908 | 1 | 4.373 | 11412.8 |
364 | 2025-02-08 20:42:28 | moistnesses | 3 | 121633 | 62 | 18.346 | 6629.9 |
363 | 2025-02-08 20:42:24 | moistnesses | 2 | 86808 | 10 | 9.296 | 9338.2 |
362 | 2025-02-08 20:42:09 | moistnesses | 1 | 49908 | 1 | 3.563 | 14007.3 |
361 | 2025-01-14 06:17:41 | moistnesses | 3 | 121633 | 62 | 25.096 | 4846.7 |
360 | 2025-01-14 06:17:43 | moistnesses | 2 | 86808 | 10 | 10.423 | 8328.5 |
359 | 2025-01-14 06:13:23 | moistnesses | 1 | 49908 | 1 | 0.813 | 61387.5 |
358 | 2025-01-13 19:38:53 | moistnesses | 2 | 86808 | 10 | 11.736 | 7396.7 |
357 | 2025-01-13 19:38:38 | moistnesses | 1 | 49908 | 1 | 2.186 | 22830.7 |
356 | 2025-01-13 16:10:00 | moistnesses | 4 | 148819 | 513 | 47.550 | 3129.7 |
355 | 2025-01-13 13:54:09 | moistnesses | 4 | 148819 | 513 | 78.160 | 1904.0 |
354 | 2025-01-13 13:53:53 | moistnesses | 3 | 121633 | 62 | 25.876 | 4700.6 |
353 | 2025-01-13 13:25:00 | moistnesses | 4 | 148819 | 513 | 35.816 | 4155.1 |
352 | 2025-01-13 13:04:33 | moistnesses | 4 | 148819 | 513 | 50.986 | 2918.8 |
351 | 2025-01-13 13:04:33 | moistnesses | 3 | 121633 | 62 | 27.796 | 4375.9 |
350 | 2025-01-13 13:04:39 | moistnesses | 2 | 86808 | 10 | 11.873 | 7311.4 |
349 | 2025-01-13 13:01:52 | moistnesses | 1 | 49908 | 1 | 1.953 | 25554.5 |
348 | 2024-12-23 01:41:52 | moistnesses | 2 | 86808 | 10 | 12.360 | 7023.3 |
347 | 2024-12-23 01:40:09 | moistnesses | 1 | 49908 | 1 | 2.373 | 21031.6 |
346 | 2024-12-09 17:02:14 | moistnesses | 3 | 121633 | 62 | 27.923 | 4356.0 |
345 | 2024-12-08 14:56:49 | moistnesses | 3 | 121633 | 62 | 28.876 | 4212.3 |
344 | 2024-12-08 10:46:56 | moistnesses | 1 | 49908 | 1 | 1.280 | 38990.6 |
343 | 2024-12-08 10:44:02 | moistnesses | 3 | 121633 | 62 | 29.190 | 4166.9 |
342 | 2024-12-07 22:42:59 | moistnesses | 3 | 121633 | 62 | 25.910 | 4694.4 |
341 | 2024-12-07 22:43:06 | moistnesses | 2 | 86808 | 10 | 15.690 | 5532.7 |
340 | 2024-12-07 22:39:09 | moistnesses | 1 | 49908 | 1 | 1.126 | 44323.3 |
339 | 2024-12-05 08:06:02 | moistnesses | 2 | 86808 | 10 | 14.753 | 5884.1 |
338 | 2024-12-04 21:19:13 | moistnesses | 2 | 86808 | 10 | 10.986 | 7901.7 |
337 | 2024-12-04 21:18:12 | moistnesses | 1 | 49908 | 1 | 2.643 | 18883.1 |
336 | 2024-12-04 12:10:48 | moistnesses | 4 | 148819 | 513 | 45.000 | 3307.1 |
335 | 2024-12-03 13:43:49 | moistnesses | 4 | 148819 | 513 | 58.536 | 2542.4 |
334 | 2024-12-03 11:33:13 | moistnesses | 4 | 148819 | 513 | 48.833 | 3047.5 |
333 | 2024-12-03 08:47:41 | moistnesses | 4 | 148819 | 513 | 61.596 | 2416.0 |
332 | 2024-11-23 06:52:43 | moistnesses | 4 | 148819 | 513 | 40.486 | 3675.8 |
331 | 2024-11-21 00:57:45 | moistnesses | 2 | 86808 | 10 | 12.046 | 7206.4 |
330 | 2024-11-21 00:54:00 | moistnesses | 1 | 49908 | 1 | 1.530 | 32619.6 |