History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"subclusters"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
444 | 2025-08-19 16:50:01 | subclusters | 1 | 49908 | 2 | 1.576 | 31667.5 |
443 | 2025-08-19 04:04:46 | subclusters | 5 | 164607 | 509 | 51.863 | 3173.9 |
442 | 2025-08-17 10:48:39 | subclusters | 5 | 164607 | 509 | 37.800 | 4354.7 |
441 | 2025-08-17 01:12:20 | subclusters | 5 | 164607 | 509 | 37.050 | 4442.8 |
440 | 2025-08-16 21:00:09 | subclusters | 1 | 49908 | 2 | 2.296 | 21736.9 |
439 | 2025-08-13 10:34:07 | subclusters | 5 | 164607 | 509 | 36.686 | 4486.9 |
438 | 2025-08-09 03:52:26 | subclusters | 1 | 49908 | 2 | 3.703 | 13477.7 |
437 | 2025-08-04 23:05:33 | subclusters | 1 | 49908 | 2 | 1.796 | 27788.4 |
436 | 2025-07-25 09:36:22 | subclusters | 1 | 49908 | 2 | 3.080 | 16203.9 |
435 | 2025-07-24 12:56:49 | subclusters | 1 | 49908 | 2 | 2.966 | 16826.7 |
434 | 2025-07-18 07:45:02 | subclusters | 5 | 164607 | 509 | 45.580 | 3611.4 |
433 | 2025-07-14 03:09:00 | subclusters | 5 | 164607 | 509 | 68.170 | 2414.7 |
432 | 2025-07-11 07:23:07 | subclusters | 5 | 164607 | 509 | 65.736 | 2504.1 |
431 | 2025-07-11 01:24:49 | subclusters | 2 | 86808 | 3 | 13.423 | 6467.1 |
430 | 2025-07-11 00:21:48 | subclusters | 3 | 121633 | 18 | 22.140 | 5493.8 |
429 | 2025-07-10 09:29:56 | subclusters | 1 | 49908 | 2 | 3.513 | 14206.7 |
428 | 2025-07-10 01:07:07 | subclusters | 5 | 164607 | 509 | 63.863 | 2577.5 |
427 | 2025-07-09 10:10:26 | subclusters | 4 | 148819 | 85 | 9.610 | 15485.8 |
426 | 2025-07-05 12:47:23 | subclusters | 4 | 148819 | 85 | 55.533 | 2679.8 |
425 | 2025-07-05 12:00:41 | subclusters | 3 | 121633 | 18 | 12.296 | 9892.1 |
424 | 2025-07-05 07:39:15 | subclusters | 2 | 86808 | 3 | 13.796 | 6292.3 |
423 | 2025-07-03 17:40:51 | subclusters | 1 | 49908 | 2 | 0.843 | 59202.8 |
422 | 2025-05-29 03:38:03 | subclusters | 1 | 49908 | 2 | 5.500 | 9074.2 |
421 | 2025-05-26 10:45:10 | subclusters | 4 | 148819 | 85 | 49.113 | 3030.1 |
420 | 2025-05-24 18:31:26 | subclusters | 4 | 148819 | 85 | 46.390 | 3208.0 |
419 | 2025-05-23 07:07:46 | subclusters | 1 | 49908 | 2 | 4.233 | 11790.2 |
418 | 2025-05-18 17:17:50 | subclusters | 1 | 49908 | 2 | 2.140 | 23321.5 |
417 | 2025-05-17 17:15:22 | subclusters | 1 | 49908 | 2 | 0.920 | 54247.8 |
416 | 2025-05-14 12:53:54 | subclusters | 4 | 148819 | 85 | 24.146 | 6163.3 |
415 | 2025-05-11 10:01:21 | subclusters | 1 | 49908 | 2 | 3.436 | 14525.0 |
414 | 2025-05-10 05:44:01 | subclusters | 4 | 148819 | 85 | 49.053 | 3033.8 |
413 | 2025-04-30 10:16:48 | subclusters | 1 | 49908 | 2 | 4.936 | 10111.0 |
412 | 2025-04-30 04:55:58 | subclusters | 1 | 49908 | 2 | 3.813 | 13088.9 |
411 | 2025-04-26 15:20:42 | subclusters | 4 | 148819 | 85 | 38.036 | 3912.6 |
410 | 2025-04-26 03:35:22 | subclusters | 1 | 49908 | 2 | 4.610 | 10826.0 |
409 | 2025-04-12 17:15:27 | subclusters | 1 | 49908 | 2 | 4.266 | 11699.0 |
408 | 2025-04-11 14:05:25 | subclusters | 4 | 148819 | 85 | 43.030 | 3458.5 |
407 | 2025-04-11 06:00:13 | subclusters | 4 | 148819 | 85 | 36.030 | 4130.4 |
406 | 2025-04-06 11:56:00 | subclusters | 1 | 49908 | 2 | 2.376 | 21005.1 |
405 | 2025-04-06 08:57:12 | subclusters | 2 | 86808 | 3 | 11.626 | 7466.7 |
404 | 2025-04-06 05:26:38 | subclusters | 4 | 148819 | 85 | 58.610 | 2539.1 |
403 | 2025-04-05 02:57:04 | subclusters | 3 | 121633 | 18 | 5.250 | 23168.2 |
402 | 2025-04-03 01:37:03 | subclusters | 3 | 121633 | 18 | 12.736 | 9550.3 |
401 | 2025-03-24 12:17:21 | subclusters | 1 | 49908 | 2 | 4.640 | 10756.0 |
400 | 2025-03-23 16:05:40 | subclusters | 2 | 86808 | 3 | 8.860 | 9797.7 |
399 | 2025-03-22 05:02:31 | subclusters | 1 | 49908 | 2 | 0.733 | 68087.3 |
398 | 2025-03-14 00:48:18 | subclusters | 1 | 49908 | 2 | 2.610 | 19121.8 |
397 | 2025-03-07 00:15:35 | subclusters | 3 | 121633 | 18 | 42.376 | 2870.3 |
396 | 2025-03-06 11:07:08 | subclusters | 1 | 49908 | 2 | 4.656 | 10719.1 |
395 | 2025-02-26 09:11:14 | subclusters | 3 | 121633 | 18 | 26.576 | 4576.8 |
394 | 2025-02-22 01:27:50 | subclusters | 1 | 49908 | 2 | 2.810 | 17760.9 |
393 | 2025-02-19 19:11:43 | subclusters | 3 | 121633 | 18 | 30.283 | 4016.5 |
392 | 2025-02-19 19:11:38 | subclusters | 2 | 86808 | 3 | 10.940 | 7934.9 |
391 | 2025-02-19 19:11:21 | subclusters | 3 | 121633 | 18 | 16.813 | 7234.5 |
390 | 2025-02-18 00:58:59 | subclusters | 3 | 121633 | 18 | 31.876 | 3815.8 |
389 | 2025-02-18 00:58:53 | subclusters | 3 | 121633 | 18 | 26.253 | 4633.1 |
388 | 2025-02-18 00:58:49 | subclusters | 2 | 86808 | 3 | 11.203 | 7748.6 |
387 | 2025-02-13 06:12:41 | subclusters | 3 | 121633 | 18 | 37.846 | 3213.9 |
386 | 2025-02-13 06:12:13 | subclusters | 2 | 86808 | 3 | 8.283 | 10480.3 |
385 | 2025-01-29 00:23:14 | subclusters | 4 | 148819 | 85 | 53.033 | 2806.2 |
384 | 2025-01-29 00:10:36 | subclusters | 1 | 49908 | 2 | 3.970 | 12571.3 |
383 | 2025-01-21 06:20:02 | subclusters | 1 | 49908 | 2 | 2.076 | 24040.5 |
382 | 2025-01-17 21:16:56 | subclusters | 4 | 148819 | 85 | 47.266 | 3148.5 |
381 | 2025-01-17 10:39:09 | subclusters | 4 | 148819 | 85 | 54.376 | 2736.9 |
380 | 2025-01-14 19:36:11 | subclusters | 4 | 148819 | 85 | 47.906 | 3106.5 |
379 | 2025-01-14 19:35:36 | subclusters | 1 | 49908 | 2 | 2.813 | 17741.9 |
378 | 2025-01-14 10:56:58 | subclusters | 4 | 148819 | 85 | 40.320 | 3690.9 |
377 | 2025-01-14 10:56:29 | subclusters | 1 | 49908 | 2 | 6.093 | 8191.0 |
376 | 2025-01-14 10:56:04 | subclusters | 3 | 121633 | 18 | 25.533 | 4763.8 |
375 | 2025-01-14 10:56:03 | subclusters | 2 | 86808 | 3 | 12.063 | 7196.2 |
374 | 2025-01-13 22:46:23 | subclusters | 4 | 148819 | 85 | 56.270 | 2644.7 |
373 | 2025-01-13 22:46:05 | subclusters | 3 | 121633 | 18 | 26.173 | 4647.3 |
372 | 2025-01-13 22:45:49 | subclusters | 2 | 86808 | 3 | 11.860 | 7319.4 |
371 | 2025-01-13 01:16:18 | subclusters | 4 | 148819 | 85 | 53.253 | 2794.6 |
370 | 2025-01-13 01:16:12 | subclusters | 3 | 121633 | 18 | 27.423 | 4435.4 |
369 | 2025-01-13 01:16:08 | subclusters | 2 | 86808 | 3 | 9.326 | 9308.2 |
368 | 2024-12-16 11:05:28 | subclusters | 4 | 148819 | 85 | 55.256 | 2693.3 |
367 | 2024-12-16 10:32:23 | subclusters | 4 | 148819 | 85 | 25.436 | 5850.7 |
366 | 2024-12-14 18:14:11 | subclusters | 4 | 148819 | 85 | 45.333 | 3282.8 |
365 | 2024-12-13 22:50:44 | subclusters | 4 | 148819 | 85 | 47.753 | 3116.4 |
364 | 2024-12-13 22:50:52 | subclusters | 3 | 121633 | 18 | 25.563 | 4758.2 |
363 | 2024-12-13 22:50:57 | subclusters | 2 | 86808 | 3 | 13.843 | 6270.9 |
362 | 2024-12-13 09:53:02 | subclusters | 1 | 49908 | 2 | 4.110 | 12143.1 |
361 | 2024-12-06 20:29:51 | subclusters | 2 | 86808 | 3 | 5.500 | 15783.3 |
360 | 2024-12-03 01:21:55 | subclusters | 2 | 86808 | 3 | 11.203 | 7748.6 |
359 | 2024-11-22 11:14:16 | subclusters | 1 | 49908 | 2 | 0.860 | 58032.6 |
358 | 2024-11-21 08:37:03 | subclusters | 3 | 121633 | 18 | 24.580 | 4948.5 |
357 | 2024-11-21 08:36:44 | subclusters | 1 | 49908 | 2 | 0.890 | 56076.4 |
356 | 2024-11-18 14:53:43 | subclusters | 1 | 49908 | 2 | 3.063 | 16293.8 |
355 | 2024-11-17 08:06:25 | subclusters | 4 | 148819 | 85 | 33.533 | 4438.0 |
354 | 2024-11-13 08:43:33 | subclusters | 4 | 148819 | 85 | 61.583 | 2416.6 |
353 | 2024-11-10 07:34:32 | subclusters | 4 | 148819 | 85 | 39.250 | 3791.6 |
352 | 2024-11-09 20:24:04 | subclusters | 4 | 148819 | 85 | 48.016 | 3099.4 |
351 | 2024-11-09 20:24:06 | subclusters | 4 | 148819 | 85 | 37.783 | 3938.8 |
350 | 2024-11-09 13:48:19 | subclusters | 2 | 86808 | 3 | 17.656 | 4916.6 |
349 | 2024-11-08 06:59:21 | subclusters | 1 | 49908 | 2 | 5.420 | 9208.1 |
348 | 2024-11-05 07:58:35 | subclusters | 3 | 121633 | 18 | 14.563 | 8352.2 |
347 | 2024-11-03 03:06:54 | subclusters | 3 | 121633 | 18 | 22.860 | 5320.8 |
346 | 2024-10-27 16:45:24 | subclusters | 2 | 86808 | 3 | 16.953 | 5120.5 |
345 | 2024-10-21 18:57:18 | subclusters | 1 | 49908 | 2 | 3.310 | 15077.9 |