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 |
| 483 | 2025-11-08 10:40:03 | subclusters | 5 | 164607 | 509 | 12.860 | 12799.9 |
| 482 | 2025-11-04 23:28:51 | subclusters | 5 | 164607 | 509 | 16.186 | 10169.7 |
| 481 | 2025-10-28 12:54:32 | subclusters | 1 | 49908 | 2 | 0.856 | 58303.7 |
| 480 | 2025-10-25 04:14:39 | subclusters | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 479 | 2025-10-24 22:45:51 | subclusters | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 478 | 2025-10-21 09:20:55 | subclusters | 5 | 164607 | 509 | 76.723 | 2145.5 |
| 477 | 2025-10-20 03:47:50 | subclusters | 1 | 49908 | 2 | 1.110 | 44962.2 |
| 476 | 2025-10-19 15:22:29 | subclusters | 1 | 49908 | 2 | 3.083 | 16188.1 |
| 475 | 2025-10-17 20:50:08 | subclusters | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 474 | 2025-10-16 16:29:28 | subclusters | 3 | 121633 | 18 | 8.690 | 13996.9 |
| 473 | 2025-10-15 10:29:39 | subclusters | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 472 | 2025-10-11 03:29:10 | subclusters | 1 | 49908 | 2 | 0.923 | 54071.5 |
| 471 | 2025-10-09 06:53:17 | subclusters | 5 | 164607 | 509 | 13.313 | 12364.4 |
| 470 | 2025-09-27 12:12:33 | subclusters | 1 | 49908 | 2 | 0.783 | 63739.5 |
| 469 | 2025-09-25 12:08:03 | subclusters | 1 | 49908 | 2 | 1.093 | 45661.5 |
| 468 | 2025-09-25 06:24:50 | subclusters | 1 | 49908 | 2 | 5.626 | 8871.0 |
| 467 | 2025-09-25 06:24:33 | subclusters | 1 | 49908 | 2 | 3.716 | 13430.6 |
| 466 | 2025-09-25 06:24:12 | subclusters | 1 | 49908 | 2 | 5.186 | 9623.6 |
| 465 | 2025-09-25 06:23:41 | subclusters | 1 | 49908 | 2 | 4.030 | 12384.1 |
| 464 | 2025-09-24 04:07:03 | subclusters | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 463 | 2025-09-23 23:22:38 | subclusters | 1 | 49908 | 2 | 0.856 | 58303.7 |
| 462 | 2025-09-21 07:53:01 | subclusters | 5 | 164607 | 509 | 12.763 | 12897.2 |
| 461 | 2025-09-19 09:41:50 | subclusters | 2 | 86808 | 3 | 2.093 | 41475.4 |
| 460 | 2025-09-19 09:06:42 | subclusters | 2 | 86808 | 3 | 2.373 | 36581.5 |
| 459 | 2025-09-18 17:48:56 | subclusters | 1 | 49908 | 2 | 1.093 | 45661.5 |
| 458 | 2025-09-17 06:09:09 | subclusters | 4 | 148819 | 85 | 8.843 | 16829.0 |
| 457 | 2025-09-16 20:24:36 | subclusters | 1 | 49908 | 2 | 0.830 | 60130.1 |
| 456 | 2025-09-14 10:17:57 | subclusters | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 455 | 2025-09-10 14:17:48 | subclusters | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 454 | 2025-09-10 12:08:48 | subclusters | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 453 | 2025-09-08 06:19:40 | subclusters | 3 | 121633 | 18 | 4.656 | 26123.9 |
| 452 | 2025-09-04 06:17:00 | subclusters | 2 | 86808 | 3 | 2.080 | 41734.6 |
| 451 | 2025-08-25 12:30:28 | subclusters | 1 | 49908 | 2 | 3.856 | 12942.9 |
| 450 | 2025-08-25 02:41:47 | subclusters | 3 | 121633 | 18 | 16.190 | 7512.8 |
| 449 | 2025-08-24 22:41:46 | subclusters | 1 | 49908 | 2 | 5.686 | 8777.3 |
| 448 | 2025-08-23 06:29:09 | subclusters | 3 | 121633 | 18 | 23.940 | 5080.7 |
| 447 | 2025-08-22 14:33:21 | subclusters | 1 | 49908 | 2 | 1.300 | 38390.8 |
| 446 | 2025-08-22 04:37:55 | subclusters | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 445 | 2025-08-22 00:31:03 | subclusters | 5 | 164607 | 509 | 39.126 | 4207.1 |
| 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 |