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 |
| 540 | 2026-03-22 03:59:20 | subclusters | 1 | 49908 | 2 | 4.280 | 11660.7 |
| 539 | 2026-03-21 05:43:59 | subclusters | 4 | 148819 | 85 | 47.706 | 3119.5 |
| 538 | 2026-03-20 15:54:13 | subclusters | 1 | 49908 | 2 | 6.546 | 7624.2 |
| 537 | 2026-03-20 06:16:37 | subclusters | 5 | 164607 | 509 | 73.753 | 2231.9 |
| 536 | 2026-03-20 06:16:30 | subclusters | 5 | 164607 | 509 | 61.176 | 2690.7 |
| 535 | 2026-03-20 06:16:28 | subclusters | 5 | 164607 | 509 | 51.080 | 3222.5 |
| 534 | 2026-03-19 19:49:41 | subclusters | 4 | 148819 | 85 | 28.473 | 5226.7 |
| 533 | 2026-03-18 00:18:17 | subclusters | 3 | 121633 | 18 | 11.830 | 10281.7 |
| 532 | 2026-03-17 19:25:15 | subclusters | 1 | 49908 | 2 | 0.906 | 55086.1 |
| 531 | 2026-03-17 02:23:34 | subclusters | 4 | 148819 | 85 | 30.686 | 4849.7 |
| 530 | 2026-03-16 08:12:53 | subclusters | 4 | 148819 | 85 | 8.516 | 17475.2 |
| 529 | 2026-03-15 22:53:54 | subclusters | 3 | 121633 | 18 | 5.656 | 21505.1 |
| 528 | 2026-03-15 09:44:55 | subclusters | 2 | 86808 | 3 | 2.376 | 36535.4 |
| 527 | 2026-03-15 04:17:00 | subclusters | 4 | 148819 | 85 | 43.346 | 3433.3 |
| 526 | 2026-03-14 05:17:30 | subclusters | 3 | 121633 | 18 | 11.390 | 10678.9 |
| 525 | 2026-03-13 21:23:57 | subclusters | 4 | 148819 | 85 | 19.176 | 7760.7 |
| 524 | 2026-03-13 17:57:10 | subclusters | 4 | 148819 | 85 | 8.580 | 17344.9 |
| 523 | 2026-03-13 13:48:41 | subclusters | 4 | 148819 | 85 | 9.206 | 16165.4 |
| 522 | 2026-03-13 00:45:26 | subclusters | 4 | 148819 | 85 | 8.923 | 16678.1 |
| 521 | 2026-03-12 23:27:45 | subclusters | 2 | 86808 | 3 | 17.580 | 4937.9 |
| 520 | 2026-03-12 07:43:27 | subclusters | 5 | 164607 | 509 | 56.940 | 2890.9 |
| 519 | 2026-03-11 12:55:44 | subclusters | 2 | 86808 | 3 | 2.406 | 36079.8 |
| 518 | 2026-03-11 10:52:39 | subclusters | 4 | 148819 | 85 | 10.030 | 14837.4 |
| 517 | 2026-03-11 10:52:34 | subclusters | 4 | 148819 | 85 | 12.236 | 12162.4 |
| 516 | 2026-03-10 23:46:52 | subclusters | 5 | 164607 | 509 | 67.456 | 2440.2 |
| 515 | 2026-03-10 09:57:45 | subclusters | 3 | 121633 | 18 | 7.343 | 16564.5 |
| 514 | 2026-03-10 00:33:04 | subclusters | 2 | 86808 | 3 | 2.436 | 35635.5 |
| 513 | 2026-03-09 21:05:01 | subclusters | 2 | 86808 | 3 | 2.190 | 39638.4 |
| 512 | 2026-03-09 17:19:49 | subclusters | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 511 | 2026-03-09 14:18:53 | subclusters | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 510 | 2026-03-09 06:00:33 | subclusters | 3 | 121633 | 18 | 5.546 | 21931.7 |
| 509 | 2026-03-07 07:46:14 | subclusters | 3 | 121633 | 18 | 4.563 | 26656.4 |
| 508 | 2026-02-18 19:11:54 | subclusters | 1 | 49908 | 2 | 1.186 | 42080.9 |
| 507 | 2026-02-18 18:31:56 | subclusters | 1 | 49908 | 2 | 1.453 | 34348.2 |
| 506 | 2026-02-18 17:27:12 | subclusters | 1 | 49908 | 2 | 3.516 | 14194.5 |
| 505 | 2026-02-10 17:48:42 | subclusters | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 504 | 2026-02-10 01:32:18 | subclusters | 1 | 49908 | 2 | 2.233 | 22350.2 |
| 503 | 2026-02-09 19:24:44 | subclusters | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 502 | 2026-01-21 09:09:53 | subclusters | 5 | 164607 | 509 | 13.156 | 12511.9 |
| 501 | 2026-01-17 11:46:59 | subclusters | 2 | 86808 | 3 | 9.516 | 9122.3 |
| 500 | 2026-01-03 00:58:39 | subclusters | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 499 | 2025-11-28 10:55:22 | subclusters | 1 | 49908 | 2 | 0.906 | 55086.1 |
| 498 | 2025-11-25 19:56:21 | subclusters | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 497 | 2025-11-25 03:14:14 | subclusters | 1 | 49908 | 2 | 0.903 | 55269.1 |
| 496 | 2025-11-24 22:00:56 | subclusters | 1 | 49908 | 2 | 0.873 | 57168.4 |
| 495 | 2025-11-22 14:17:44 | subclusters | 1 | 49908 | 2 | 1.500 | 33272.0 |
| 494 | 2025-11-19 17:40:31 | subclusters | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 493 | 2025-11-18 06:34:02 | subclusters | 4 | 148819 | 85 | 8.670 | 17164.8 |
| 492 | 2025-11-16 20:47:11 | subclusters | 4 | 148819 | 85 | 11.330 | 13135.0 |
| 491 | 2025-11-16 09:06:39 | subclusters | 1 | 49908 | 2 | 0.780 | 63984.6 |
| 490 | 2025-11-16 02:13:46 | subclusters | 5 | 164607 | 509 | 13.266 | 12408.2 |
| 489 | 2025-11-14 11:22:09 | subclusters | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 488 | 2025-11-13 01:57:07 | subclusters | 2 | 86808 | 3 | 2.093 | 41475.4 |
| 487 | 2025-11-12 09:55:32 | subclusters | 2 | 86808 | 3 | 2.530 | 34311.5 |
| 486 | 2025-11-12 06:59:22 | subclusters | 5 | 164607 | 509 | 13.920 | 11825.2 |
| 485 | 2025-11-11 10:27:56 | subclusters | 1 | 49908 | 2 | 0.846 | 58992.9 |
| 484 | 2025-11-11 02:58:30 | subclusters | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 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 |