History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"forecasting"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
428 | 2025-09-09 04:15:17 | forecasting | 1 | 49908 | 2 | 1.670 | 29885.0 |
427 | 2025-09-04 11:49:59 | forecasting | 2 | 86808 | 6 | 2.280 | 38073.7 |
426 | 2025-09-03 18:54:20 | forecasting | 1 | 49908 | 2 | 0.810 | 61614.8 |
425 | 2025-09-02 18:02:41 | forecasting | 3 | 121633 | 31 | 4.656 | 26123.9 |
424 | 2025-08-29 01:09:34 | forecasting | 1 | 49908 | 2 | 0.846 | 58992.9 |
423 | 2025-08-28 15:16:16 | forecasting | 3 | 121633 | 31 | 6.140 | 19809.9 |
422 | 2025-08-28 13:59:16 | forecasting | 2 | 86808 | 6 | 2.593 | 33477.8 |
421 | 2025-08-27 21:37:02 | forecasting | 4 | 148819 | 199 | 9.720 | 15310.6 |
420 | 2025-08-26 20:09:07 | forecasting | 3 | 121633 | 31 | 8.296 | 14661.6 |
419 | 2025-08-21 13:28:39 | forecasting | 1 | 49908 | 2 | 1.546 | 32282.0 |
418 | 2025-08-19 07:51:01 | forecasting | 3 | 121633 | 31 | 19.343 | 6288.2 |
417 | 2025-08-19 04:21:50 | forecasting | 4 | 148819 | 199 | 21.876 | 6802.8 |
416 | 2025-08-17 10:55:27 | forecasting | 4 | 148819 | 199 | 29.063 | 5120.6 |
415 | 2025-08-10 06:31:19 | forecasting | 1 | 49908 | 2 | 1.703 | 29305.9 |
414 | 2025-08-05 20:22:21 | forecasting | 4 | 148819 | 199 | 34.786 | 4278.1 |
413 | 2025-08-05 06:47:42 | forecasting | 4 | 148819 | 199 | 23.863 | 6236.4 |
412 | 2025-08-04 09:04:46 | forecasting | 1 | 49908 | 2 | 5.813 | 8585.6 |
411 | 2025-08-03 12:25:00 | forecasting | 4 | 148819 | 199 | 36.580 | 4068.3 |
410 | 2025-08-01 05:21:02 | forecasting | 1 | 49908 | 2 | 4.026 | 12396.4 |
409 | 2025-07-22 12:09:41 | forecasting | 1 | 49908 | 2 | 3.860 | 12929.5 |
408 | 2025-07-22 06:31:01 | forecasting | 4 | 148819 | 199 | 9.436 | 15771.4 |
407 | 2025-07-21 22:12:34 | forecasting | 1 | 49908 | 2 | 0.843 | 59202.8 |
406 | 2025-07-21 09:57:33 | forecasting | 1 | 49908 | 2 | 4.313 | 11571.5 |
405 | 2025-07-17 20:49:32 | forecasting | 1 | 49908 | 2 | 6.046 | 8254.7 |
404 | 2025-07-15 11:13:00 | forecasting | 1 | 49908 | 2 | 4.266 | 11699.0 |
403 | 2025-07-12 13:46:13 | forecasting | 1 | 49908 | 2 | 0.873 | 57168.4 |
402 | 2025-07-10 19:00:52 | forecasting | 1 | 49908 | 2 | 5.826 | 8566.4 |
401 | 2025-07-09 12:46:08 | forecasting | 1 | 49908 | 2 | 5.220 | 9560.9 |
400 | 2025-06-29 08:41:14 | forecasting | 4 | 148819 | 199 | 9.013 | 16511.6 |
399 | 2025-06-29 06:11:37 | forecasting | 4 | 148819 | 199 | 47.610 | 3125.8 |
398 | 2025-06-29 04:11:59 | forecasting | 4 | 148819 | 199 | 10.750 | 13843.6 |
397 | 2025-06-28 14:29:56 | forecasting | 4 | 148819 | 199 | 45.986 | 3236.2 |
396 | 2025-06-26 11:34:14 | forecasting | 4 | 148819 | 199 | 56.346 | 2641.2 |
395 | 2025-06-16 17:27:01 | forecasting | 1 | 49908 | 2 | 5.876 | 8493.5 |
394 | 2025-06-12 02:05:38 | forecasting | 2 | 86808 | 6 | 12.126 | 7158.8 |
393 | 2025-06-11 22:27:47 | forecasting | 4 | 148819 | 199 | 50.673 | 2936.8 |
392 | 2025-06-11 03:55:46 | forecasting | 1 | 49908 | 2 | 0.843 | 59202.8 |
391 | 2025-06-09 12:14:49 | forecasting | 3 | 121633 | 31 | 4.983 | 24409.6 |
390 | 2025-06-08 14:35:45 | forecasting | 3 | 121633 | 31 | 20.536 | 5922.9 |
389 | 2025-06-07 03:58:03 | forecasting | 1 | 49908 | 2 | 0.826 | 60421.3 |
388 | 2025-06-06 19:13:21 | forecasting | 3 | 121633 | 31 | 5.673 | 21440.7 |
387 | 2025-06-06 18:10:29 | forecasting | 3 | 121633 | 31 | 5.580 | 21798.0 |
386 | 2025-05-30 01:30:05 | forecasting | 3 | 121633 | 31 | 24.563 | 4951.9 |
385 | 2025-05-29 03:38:23 | forecasting | 4 | 148819 | 199 | 35.206 | 4227.1 |
384 | 2025-05-26 15:49:47 | forecasting | 4 | 148819 | 199 | 50.346 | 2955.9 |
383 | 2025-05-22 06:07:36 | forecasting | 3 | 121633 | 31 | 22.470 | 5413.1 |
382 | 2025-05-21 23:14:21 | forecasting | 3 | 121633 | 31 | 34.113 | 3565.6 |
381 | 2025-05-21 21:58:09 | forecasting | 3 | 121633 | 31 | 21.646 | 5619.2 |
380 | 2025-05-20 14:32:19 | forecasting | 1 | 49908 | 2 | 5.606 | 8902.6 |
379 | 2025-05-19 02:35:54 | forecasting | 1 | 49908 | 2 | 1.220 | 40908.2 |
378 | 2025-05-16 17:30:29 | forecasting | 1 | 49908 | 2 | 2.123 | 23508.2 |
377 | 2025-05-14 22:25:10 | forecasting | 3 | 121633 | 31 | 5.766 | 21094.9 |
376 | 2025-05-14 01:41:37 | forecasting | 3 | 121633 | 31 | 17.953 | 6775.1 |
375 | 2025-05-13 16:09:47 | forecasting | 4 | 148819 | 199 | 29.563 | 5034.0 |
374 | 2025-05-13 04:17:48 | forecasting | 1 | 49908 | 2 | 0.890 | 56076.4 |
373 | 2025-05-10 03:39:43 | forecasting | 1 | 49908 | 2 | 2.123 | 23508.2 |
372 | 2025-05-09 09:05:16 | forecasting | 1 | 49908 | 2 | 0.846 | 58992.9 |
371 | 2025-05-04 11:49:03 | forecasting | 4 | 148819 | 199 | 37.816 | 3935.3 |
370 | 2025-04-29 11:26:40 | forecasting | 1 | 49908 | 2 | 0.826 | 60421.3 |
369 | 2025-04-29 03:28:38 | forecasting | 1 | 49908 | 2 | 0.813 | 61387.5 |
368 | 2025-04-28 00:47:10 | forecasting | 4 | 148819 | 199 | 42.706 | 3484.7 |
367 | 2025-04-25 07:42:24 | forecasting | 4 | 148819 | 199 | 40.470 | 3677.3 |
366 | 2025-04-23 22:16:56 | forecasting | 4 | 148819 | 199 | 55.990 | 2658.0 |
365 | 2025-04-14 17:21:05 | forecasting | 1 | 49908 | 2 | 1.860 | 26832.3 |
364 | 2025-04-13 03:48:55 | forecasting | 3 | 121633 | 31 | 6.050 | 20104.6 |
363 | 2025-04-13 01:48:16 | forecasting | 2 | 86808 | 6 | 2.390 | 36321.3 |
362 | 2025-04-09 13:41:41 | forecasting | 1 | 49908 | 2 | 3.516 | 14194.5 |
361 | 2025-04-04 06:08:53 | forecasting | 4 | 148819 | 199 | 39.736 | 3745.2 |
360 | 2025-03-29 03:16:25 | forecasting | 1 | 49908 | 2 | 2.093 | 23845.2 |
359 | 2025-03-23 22:50:47 | forecasting | 3 | 121633 | 31 | 26.503 | 4589.4 |
358 | 2025-03-23 06:33:32 | forecasting | 3 | 121633 | 31 | 38.296 | 3176.1 |
357 | 2025-03-21 12:38:21 | forecasting | 4 | 148819 | 199 | 36.706 | 4054.4 |
356 | 2025-03-21 06:18:30 | forecasting | 1 | 49908 | 2 | 1.983 | 25167.9 |
355 | 2025-03-20 16:49:39 | forecasting | 3 | 121633 | 31 | 25.080 | 4849.8 |
354 | 2025-03-20 05:33:57 | forecasting | 1 | 49908 | 2 | 4.266 | 11699.0 |
353 | 2025-03-16 14:55:29 | forecasting | 4 | 148819 | 199 | 56.910 | 2615.0 |
352 | 2025-03-14 05:36:05 | forecasting | 4 | 148819 | 199 | 41.440 | 3591.2 |
351 | 2025-03-13 19:04:31 | forecasting | 3 | 121633 | 31 | 26.843 | 4531.3 |
350 | 2025-03-13 13:36:16 | forecasting | 4 | 148819 | 199 | 52.250 | 2848.2 |
349 | 2025-03-13 01:46:27 | forecasting | 4 | 148819 | 199 | 57.206 | 2601.5 |
348 | 2025-03-12 09:07:36 | forecasting | 1 | 49908 | 2 | 6.296 | 7926.9 |
347 | 2025-03-07 17:30:51 | forecasting | 1 | 49908 | 2 | 1.750 | 28518.9 |
346 | 2025-03-06 22:20:50 | forecasting | 1 | 49908 | 2 | 3.593 | 13890.3 |
345 | 2025-03-01 13:52:26 | forecasting | 3 | 121633 | 31 | 26.566 | 4578.5 |
344 | 2025-02-25 19:12:47 | forecasting | 2 | 86808 | 6 | 17.376 | 4995.9 |
343 | 2025-02-21 14:32:02 | forecasting | 3 | 121633 | 31 | 29.893 | 4068.9 |
342 | 2025-02-14 13:27:03 | forecasting | 3 | 121633 | 31 | 27.266 | 4461.0 |
341 | 2025-02-14 13:27:01 | forecasting | 2 | 86808 | 6 | 14.956 | 5804.2 |
340 | 2025-02-13 13:05:51 | forecasting | 3 | 121633 | 31 | 24.266 | 5012.5 |
339 | 2025-02-13 13:05:44 | forecasting | 2 | 86808 | 6 | 18.610 | 4664.6 |
338 | 2025-02-13 13:04:35 | forecasting | 1 | 49908 | 2 | 4.733 | 10544.7 |
337 | 2025-02-12 02:49:10 | forecasting | 4 | 148819 | 199 | 25.313 | 5879.2 |
336 | 2025-02-09 08:40:20 | forecasting | 1 | 49908 | 2 | 2.076 | 24040.5 |
335 | 2025-02-02 15:22:44 | forecasting | 1 | 49908 | 2 | 1.783 | 27991.0 |
334 | 2025-01-31 02:11:17 | forecasting | 3 | 121633 | 31 | 26.456 | 4597.6 |
333 | 2025-01-17 01:15:42 | forecasting | 2 | 86808 | 6 | 10.486 | 8278.5 |
332 | 2025-01-17 01:13:29 | forecasting | 1 | 49908 | 2 | 2.170 | 22999.1 |
331 | 2025-01-16 12:22:06 | forecasting | 1 | 49908 | 2 | 2.610 | 19121.8 |
330 | 2025-01-14 12:41:45 | forecasting | 2 | 86808 | 6 | 9.313 | 9321.2 |
329 | 2025-01-14 10:42:49 | forecasting | 3 | 121633 | 31 | 30.890 | 3937.6 |