History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"experienced"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
422 | 2025-09-05 19:46:45 | experienced | 1 | 49908 | 3 | 0.813 | 61387.5 |
421 | 2025-09-05 03:40:17 | experienced | 1 | 49908 | 3 | 0.736 | 67809.8 |
420 | 2025-09-04 11:25:45 | experienced | 1 | 49908 | 3 | 0.830 | 60130.1 |
419 | 2025-08-28 04:26:10 | experienced | 1 | 49908 | 3 | 0.796 | 62698.5 |
418 | 2025-08-14 23:01:05 | experienced | 1 | 49908 | 3 | 2.280 | 21889.5 |
417 | 2025-08-09 06:37:36 | experienced | 1 | 49908 | 3 | 5.420 | 9208.1 |
416 | 2025-08-09 00:06:31 | experienced | 1 | 49908 | 3 | 1.736 | 28748.8 |
415 | 2025-08-04 23:45:11 | experienced | 1 | 49908 | 3 | 1.716 | 29083.9 |
414 | 2025-08-03 02:36:00 | experienced | 1 | 49908 | 3 | 2.016 | 24756.0 |
413 | 2025-07-30 16:35:52 | experienced | 1 | 49908 | 3 | 3.453 | 14453.5 |
412 | 2025-07-25 12:32:39 | experienced | 1 | 49908 | 3 | 2.313 | 21577.2 |
411 | 2025-07-25 09:06:31 | experienced | 1 | 49908 | 3 | 1.766 | 28260.5 |
410 | 2025-07-20 20:04:16 | experienced | 1 | 49908 | 3 | 0.890 | 56076.4 |
409 | 2025-07-06 20:13:21 | experienced | 1 | 49908 | 3 | 1.670 | 29885.0 |
408 | 2025-07-04 09:39:37 | experienced | 1 | 49908 | 3 | 3.720 | 13416.1 |
407 | 2025-06-26 06:24:47 | experienced | 1 | 49908 | 3 | 4.233 | 11790.2 |
406 | 2025-06-25 02:17:24 | experienced | 1 | 49908 | 3 | 4.376 | 11404.9 |
405 | 2025-06-14 09:29:49 | experienced | 4 | 148819 | 49 | 39.343 | 3782.6 |
404 | 2025-06-13 04:00:45 | experienced | 1 | 49908 | 3 | 1.750 | 28518.9 |
403 | 2025-06-10 05:22:46 | experienced | 1 | 49908 | 3 | 3.983 | 12530.3 |
402 | 2025-05-31 01:29:14 | experienced | 1 | 49908 | 3 | 4.080 | 12232.4 |
401 | 2025-05-30 23:36:48 | experienced | 1 | 49908 | 3 | 4.216 | 11837.8 |
400 | 2025-05-17 16:18:30 | experienced | 4 | 148819 | 49 | 12.766 | 11657.4 |
399 | 2025-05-03 09:40:10 | experienced | 4 | 148819 | 49 | 8.406 | 17703.9 |
398 | 2025-04-27 07:26:05 | experienced | 3 | 121633 | 16 | 11.046 | 11011.5 |
397 | 2025-04-27 05:28:34 | experienced | 2 | 86808 | 8 | 2.206 | 39350.9 |
396 | 2025-04-19 21:27:30 | experienced | 1 | 49908 | 3 | 0.846 | 58992.9 |
395 | 2025-04-03 22:16:33 | experienced | 1 | 49908 | 3 | 2.296 | 21736.9 |
394 | 2025-04-02 05:12:31 | experienced | 1 | 49908 | 3 | 4.250 | 11743.1 |
393 | 2025-03-23 21:14:40 | experienced | 1 | 49908 | 3 | 2.343 | 21300.9 |
392 | 2025-03-13 18:25:28 | experienced | 3 | 121633 | 16 | 13.923 | 8736.1 |
391 | 2025-02-28 17:57:12 | experienced | 1 | 49908 | 3 | 6.296 | 7926.9 |
390 | 2025-02-22 02:10:10 | experienced | 1 | 49908 | 3 | 5.890 | 8473.3 |
389 | 2025-02-21 06:02:01 | experienced | 4 | 148819 | 49 | 60.033 | 2479.0 |
388 | 2025-02-20 00:47:06 | experienced | 4 | 148819 | 49 | 66.003 | 2254.7 |
387 | 2025-02-20 00:47:21 | experienced | 4 | 148819 | 49 | 42.596 | 3493.7 |
386 | 2025-02-20 00:47:18 | experienced | 3 | 121633 | 16 | 19.610 | 6202.6 |
385 | 2025-02-20 00:47:13 | experienced | 2 | 86808 | 8 | 10.546 | 8231.4 |
384 | 2025-02-20 00:45:57 | experienced | 1 | 49908 | 3 | 3.843 | 12986.7 |
383 | 2025-02-19 10:45:12 | experienced | 4 | 148819 | 49 | 52.423 | 2838.8 |
382 | 2025-02-19 06:44:49 | experienced | 4 | 148819 | 49 | 48.923 | 3041.9 |
381 | 2025-02-19 06:44:30 | experienced | 4 | 148819 | 49 | 40.376 | 3685.8 |
380 | 2025-02-19 06:44:41 | experienced | 3 | 121633 | 16 | 26.626 | 4568.2 |
379 | 2025-02-19 06:44:30 | experienced | 2 | 86808 | 8 | 10.466 | 8294.3 |
378 | 2025-02-19 06:43:21 | experienced | 1 | 49908 | 3 | 1.936 | 25778.9 |
377 | 2025-01-16 04:47:03 | experienced | 1 | 49908 | 3 | 1.986 | 25129.9 |
376 | 2025-01-15 04:10:37 | experienced | 1 | 49908 | 3 | 5.936 | 8407.7 |
375 | 2025-01-12 06:29:08 | experienced | 3 | 121633 | 16 | 25.723 | 4728.6 |
374 | 2025-01-12 01:36:14 | experienced | 2 | 86808 | 8 | 11.703 | 7417.6 |
373 | 2025-01-12 01:32:47 | experienced | 1 | 49908 | 3 | 1.330 | 37524.8 |
372 | 2025-01-10 00:24:11 | experienced | 3 | 121633 | 16 | 33.753 | 3603.6 |
371 | 2025-01-04 18:10:29 | experienced | 4 | 148819 | 49 | 44.410 | 3351.0 |
370 | 2025-01-04 18:09:49 | experienced | 3 | 121633 | 16 | 26.283 | 4627.8 |
369 | 2025-01-04 18:09:34 | experienced | 2 | 86808 | 8 | 7.716 | 11250.4 |
368 | 2025-01-02 19:20:14 | experienced | 4 | 148819 | 49 | 46.413 | 3206.4 |
367 | 2025-01-02 19:20:09 | experienced | 3 | 121633 | 16 | 31.783 | 3827.0 |
366 | 2025-01-02 19:20:09 | experienced | 2 | 86808 | 8 | 11.733 | 7398.6 |
365 | 2024-12-31 19:14:12 | experienced | 4 | 148819 | 49 | 54.526 | 2729.3 |
364 | 2024-12-31 06:52:16 | experienced | 4 | 148819 | 49 | 46.550 | 3197.0 |
363 | 2024-12-31 06:52:26 | experienced | 3 | 121633 | 16 | 27.330 | 4450.5 |
362 | 2024-12-31 06:51:28 | experienced | 2 | 86808 | 8 | 5.686 | 15267.0 |
361 | 2024-12-19 07:23:13 | experienced | 1 | 49908 | 3 | 3.733 | 13369.4 |
360 | 2024-12-16 20:22:20 | experienced | 1 | 49908 | 3 | 1.983 | 25167.9 |
359 | 2024-12-11 21:17:06 | experienced | 2 | 86808 | 8 | 8.970 | 9677.6 |
358 | 2024-12-11 21:14:41 | experienced | 1 | 49908 | 3 | 2.406 | 20743.1 |
357 | 2024-12-07 19:51:01 | experienced | 3 | 121633 | 16 | 27.770 | 4380.0 |
356 | 2024-12-07 18:14:39 | experienced | 3 | 121633 | 16 | 24.783 | 4907.9 |
355 | 2024-12-05 02:45:17 | experienced | 3 | 121633 | 16 | 29.846 | 4075.4 |
354 | 2024-12-05 02:42:32 | experienced | 1 | 49908 | 3 | 4.123 | 12104.8 |
353 | 2024-12-03 17:46:23 | experienced | 3 | 121633 | 16 | 30.813 | 3947.5 |
352 | 2024-12-03 17:46:21 | experienced | 2 | 86808 | 8 | 17.093 | 5078.6 |
351 | 2024-11-25 04:41:54 | experienced | 3 | 121633 | 16 | 23.190 | 5245.1 |
350 | 2024-11-24 09:28:57 | experienced | 3 | 121633 | 16 | 34.190 | 3557.6 |
349 | 2024-11-24 09:29:17 | experienced | 2 | 86808 | 8 | 6.906 | 12569.9 |
348 | 2024-11-23 23:54:58 | experienced | 4 | 148819 | 49 | 63.486 | 2344.1 |
347 | 2024-11-23 01:01:10 | experienced | 4 | 148819 | 49 | 54.626 | 2724.3 |
346 | 2024-11-21 11:53:05 | experienced | 4 | 148819 | 49 | 23.890 | 6229.3 |
345 | 2024-11-21 11:53:06 | experienced | 2 | 86808 | 8 | 2.436 | 35635.5 |
344 | 2024-11-21 11:45:18 | experienced | 3 | 121633 | 16 | 23.063 | 5273.9 |
343 | 2024-11-16 02:44:07 | experienced | 1 | 49908 | 3 | 1.610 | 30998.8 |
342 | 2024-11-08 06:28:05 | experienced | 1 | 49908 | 3 | 3.546 | 14074.5 |
341 | 2024-11-04 22:32:48 | experienced | 2 | 86808 | 8 | 7.640 | 11362.3 |
340 | 2024-11-03 10:04:31 | experienced | 3 | 121633 | 16 | 16.123 | 7544.1 |
339 | 2024-11-01 02:01:09 | experienced | 1 | 49908 | 3 | 2.326 | 21456.6 |
338 | 2024-10-31 10:36:48 | experienced | 1 | 49908 | 3 | 3.763 | 13262.8 |
337 | 2024-10-24 13:23:47 | experienced | 4 | 148819 | 49 | 47.673 | 3121.7 |
336 | 2024-10-24 05:22:44 | experienced | 2 | 86808 | 8 | 10.783 | 8050.4 |
335 | 2024-10-23 21:04:37 | experienced | 4 | 148819 | 49 | 51.300 | 2901.0 |
334 | 2024-10-22 22:14:41 | experienced | 4 | 148819 | 49 | 47.736 | 3117.5 |
333 | 2024-10-22 17:08:57 | experienced | 2 | 86808 | 8 | 23.546 | 3686.7 |
332 | 2024-10-22 17:08:27 | experienced | 3 | 121633 | 16 | 26.470 | 4595.1 |
331 | 2024-10-22 07:10:43 | experienced | 4 | 148819 | 49 | 44.483 | 3345.5 |
330 | 2024-10-21 03:22:46 | experienced | 1 | 49908 | 3 | 2.013 | 24792.8 |
329 | 2024-10-21 02:41:18 | experienced | 1 | 49908 | 3 | 6.190 | 8062.7 |
328 | 2024-10-21 02:33:20 | experienced | 1 | 49908 | 3 | 3.063 | 16293.8 |
327 | 2024-10-21 02:29:10 | experienced | 4 | 148819 | 49 | 40.486 | 3675.8 |
326 | 2024-10-21 02:28:35 | experienced | 2 | 86808 | 8 | 22.190 | 3912.0 |
325 | 2024-10-21 02:25:58 | experienced | 1 | 49908 | 3 | 6.050 | 8249.3 |
324 | 2024-10-19 01:43:47 | experienced | 3 | 121633 | 16 | 25.830 | 4709.0 |
323 | 2024-10-15 17:15:30 | experienced | 1 | 49908 | 3 | 5.733 | 8705.4 |