History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cuneal"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 529 | 2025-11-18 01:27:59 | cuneal | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 528 | 2025-11-16 15:19:30 | cuneal | 1 | 48755 | 1 | 1.546 | 31536.2 |
| 527 | 2025-11-11 14:22:35 | cuneal | 1 | 48755 | 1 | 0.873 | 55847.7 |
| 526 | 2025-10-28 23:32:30 | cuneal | 1 | 48755 | 1 | 0.890 | 54780.9 |
| 525 | 2025-10-27 07:26:50 | cuneal | 3 | 112716 | 463 | 4.906 | 22975.1 |
| 524 | 2025-10-24 15:58:37 | cuneal | 1 | 48755 | 1 | 0.830 | 58741.0 |
| 523 | 2025-10-24 15:57:41 | cuneal | 1 | 48755 | 1 | 0.890 | 54780.9 |
| 522 | 2025-10-24 05:12:29 | cuneal | 1 | 48755 | 1 | 1.093 | 44606.6 |
| 521 | 2025-10-21 22:32:34 | cuneal | 3 | 112716 | 463 | 27.800 | 4054.5 |
| 520 | 2025-10-19 13:25:47 | cuneal | 1 | 48755 | 1 | 0.780 | 62506.4 |
| 519 | 2025-10-13 19:02:13 | cuneal | 1 | 48755 | 1 | 0.860 | 56691.9 |
| 518 | 2025-10-12 18:27:00 | cuneal | 2 | 82551 | 27 | 2.376 | 34743.7 |
| 517 | 2025-10-12 09:22:44 | cuneal | 1 | 48755 | 1 | 0.780 | 62506.4 |
| 516 | 2025-10-08 05:25:52 | cuneal | 1 | 48755 | 1 | 0.780 | 62506.4 |
| 515 | 2025-09-30 15:12:21 | cuneal | 1 | 48755 | 1 | 0.890 | 54780.9 |
| 514 | 2025-09-30 09:00:13 | cuneal | 1 | 48755 | 1 | 0.873 | 55847.7 |
| 513 | 2025-09-29 22:00:41 | cuneal | 1 | 48755 | 1 | 0.813 | 59969.2 |
| 512 | 2025-09-26 00:34:40 | cuneal | 1 | 48755 | 1 | 4.233 | 11517.8 |
| 511 | 2025-09-21 18:41:36 | cuneal | 1 | 48755 | 1 | 0.766 | 63648.8 |
| 510 | 2025-09-17 13:32:33 | cuneal | 3 | 112716 | 463 | 5.860 | 19234.8 |
| 509 | 2025-09-16 10:42:30 | cuneal | 1 | 48755 | 1 | 0.826 | 59025.4 |
| 508 | 2025-09-11 01:52:21 | cuneal | 1 | 48755 | 1 | 0.876 | 55656.4 |
| 507 | 2025-09-10 10:21:50 | cuneal | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 506 | 2025-09-10 00:47:50 | cuneal | 3 | 112716 | 463 | 5.486 | 20546.1 |
| 505 | 2025-09-05 07:48:50 | cuneal | 1 | 48755 | 1 | 0.800 | 60943.8 |
| 504 | 2025-09-04 04:02:38 | cuneal | 3 | 112716 | 463 | 5.110 | 22057.9 |
| 503 | 2025-09-03 14:02:16 | cuneal | 1 | 48755 | 1 | 0.796 | 61250.0 |
| 502 | 2025-08-26 20:46:36 | cuneal | 1 | 48755 | 1 | 0.873 | 55847.7 |
| 501 | 2025-08-25 16:05:17 | cuneal | 1 | 48755 | 1 | 3.826 | 12743.1 |
| 500 | 2025-08-25 12:12:27 | cuneal | 1 | 48755 | 1 | 3.423 | 14243.4 |
| 499 | 2025-08-18 00:18:09 | cuneal | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 498 | 2025-08-17 00:23:33 | cuneal | 1 | 48755 | 1 | 4.436 | 10990.8 |
| 497 | 2025-08-01 01:36:43 | cuneal | 1 | 48755 | 1 | 2.016 | 24184.0 |
| 496 | 2025-07-31 10:23:58 | cuneal | 1 | 48755 | 1 | 2.140 | 22782.7 |
| 495 | 2025-07-28 10:24:06 | cuneal | 2 | 82551 | 27 | 6.296 | 13111.7 |
| 494 | 2025-07-24 21:01:47 | cuneal | 1 | 48755 | 1 | 2.296 | 21234.8 |
| 493 | 2025-07-24 17:02:44 | cuneal | 1 | 48755 | 1 | 2.530 | 19270.8 |
| 492 | 2025-07-23 23:15:21 | cuneal | 1 | 48755 | 1 | 6.283 | 7759.8 |
| 491 | 2025-07-23 19:03:15 | cuneal | 1 | 48755 | 1 | 6.063 | 8041.4 |
| 490 | 2025-07-23 10:33:12 | cuneal | 1 | 48755 | 1 | 4.763 | 10236.2 |
| 489 | 2025-07-23 04:22:37 | cuneal | 1 | 48755 | 1 | 1.940 | 25131.4 |
| 488 | 2025-07-23 03:43:57 | cuneal | 1 | 48755 | 1 | 3.516 | 13866.6 |
| 487 | 2025-07-22 23:42:29 | cuneal | 1 | 48755 | 1 | 4.156 | 11731.2 |
| 486 | 2025-07-22 15:14:36 | cuneal | 1 | 48755 | 1 | 3.046 | 16006.2 |
| 485 | 2025-07-21 12:51:56 | cuneal | 3 | 112716 | 463 | 28.373 | 3972.7 |
| 484 | 2025-07-18 19:35:50 | cuneal | 3 | 112716 | 463 | 17.940 | 6282.9 |
| 483 | 2025-07-18 15:30:56 | cuneal | 3 | 112716 | 463 | 17.966 | 6273.9 |
| 482 | 2025-07-18 09:37:19 | cuneal | 3 | 112716 | 463 | 20.423 | 5519.1 |
| 481 | 2025-07-17 04:27:31 | cuneal | 3 | 112716 | 463 | 19.906 | 5662.4 |
| 480 | 2025-07-17 04:13:38 | cuneal | 2 | 82551 | 27 | 11.186 | 7379.8 |
| 479 | 2025-07-16 17:49:03 | cuneal | 3 | 112716 | 463 | 28.610 | 3939.7 |
| 478 | 2025-07-14 11:42:44 | cuneal | 3 | 112716 | 463 | 40.250 | 2800.4 |
| 477 | 2025-07-14 07:25:12 | cuneal | 2 | 82551 | 27 | 12.843 | 6427.7 |
| 476 | 2025-07-13 00:53:27 | cuneal | 1 | 48755 | 1 | 1.986 | 24549.3 |
| 475 | 2025-07-07 07:24:50 | cuneal | 1 | 48755 | 1 | 5.656 | 8620.0 |
| 474 | 2025-07-04 14:22:25 | cuneal | 1 | 48755 | 1 | 3.033 | 16074.8 |
| 473 | 2025-07-04 05:51:52 | cuneal | 1 | 48755 | 1 | 2.156 | 22613.6 |
| 472 | 2025-07-03 23:09:52 | cuneal | 1 | 48755 | 1 | 4.580 | 10645.2 |
| 471 | 2025-06-22 11:23:12 | cuneal | 1 | 48755 | 1 | 3.983 | 12240.8 |
| 470 | 2025-06-19 08:57:17 | cuneal | 2 | 82551 | 27 | 2.326 | 35490.5 |
| 469 | 2025-06-18 16:46:04 | cuneal | 1 | 48755 | 1 | 4.483 | 10875.5 |
| 468 | 2025-06-13 21:45:08 | cuneal | 2 | 82551 | 27 | 12.530 | 6588.3 |
| 467 | 2025-06-13 05:38:17 | cuneal | 2 | 82551 | 27 | 12.440 | 6635.9 |
| 466 | 2025-06-12 00:36:01 | cuneal | 1 | 48755 | 1 | 4.283 | 11383.4 |
| 465 | 2025-06-07 21:51:37 | cuneal | 1 | 48755 | 1 | 2.860 | 17047.2 |
| 464 | 2025-06-04 13:28:20 | cuneal | 1 | 48755 | 1 | 3.970 | 12280.9 |
| 463 | 2025-06-01 22:20:52 | cuneal | 1 | 48755 | 1 | 4.013 | 12149.3 |
| 462 | 2025-05-31 02:34:42 | cuneal | 1 | 48755 | 1 | 4.373 | 11149.1 |
| 461 | 2025-05-22 11:41:50 | cuneal | 1 | 48755 | 1 | 2.643 | 18446.8 |
| 460 | 2025-05-21 14:06:25 | cuneal | 1 | 48755 | 1 | 2.670 | 18260.3 |
| 459 | 2025-05-15 17:19:56 | cuneal | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 458 | 2025-05-15 15:05:13 | cuneal | 3 | 112716 | 463 | 38.736 | 2909.9 |
| 457 | 2025-05-15 11:29:42 | cuneal | 3 | 112716 | 463 | 28.140 | 4005.5 |
| 456 | 2025-05-12 07:03:02 | cuneal | 3 | 112716 | 463 | 28.160 | 4002.7 |
| 455 | 2025-05-11 22:07:19 | cuneal | 2 | 82551 | 27 | 16.300 | 5064.5 |
| 454 | 2025-05-10 00:46:35 | cuneal | 1 | 48755 | 1 | 5.763 | 8460.0 |
| 453 | 2025-05-09 09:42:22 | cuneal | 1 | 48755 | 1 | 0.843 | 57835.1 |
| 452 | 2025-05-08 02:38:44 | cuneal | 2 | 82551 | 27 | 12.280 | 6722.4 |
| 451 | 2025-05-05 21:46:31 | cuneal | 1 | 48755 | 1 | 3.563 | 13683.7 |
| 450 | 2025-05-02 14:44:26 | cuneal | 1 | 48755 | 1 | 3.126 | 15596.6 |
| 449 | 2025-05-01 22:05:29 | cuneal | 1 | 48755 | 1 | 4.856 | 10040.2 |
| 448 | 2025-04-21 04:55:24 | cuneal | 2 | 82551 | 27 | 15.626 | 5282.9 |
| 447 | 2025-04-20 11:06:37 | cuneal | 1 | 48755 | 1 | 0.873 | 55847.7 |
| 446 | 2025-04-19 04:29:47 | cuneal | 1 | 48755 | 1 | 0.923 | 52822.3 |
| 445 | 2025-04-16 22:40:26 | cuneal | 1 | 48755 | 1 | 2.000 | 24377.5 |
| 444 | 2025-04-08 00:22:28 | cuneal | 1 | 48755 | 1 | 1.656 | 29441.4 |
| 443 | 2025-04-05 23:37:57 | cuneal | 1 | 48755 | 1 | 4.156 | 11731.2 |
| 442 | 2025-04-03 21:28:13 | cuneal | 1 | 48755 | 1 | 6.390 | 7629.9 |
| 441 | 2025-03-31 22:38:19 | cuneal | 1 | 48755 | 1 | 1.970 | 24748.7 |
| 440 | 2025-03-29 15:39:58 | cuneal | 1 | 48755 | 1 | 2.483 | 19635.5 |
| 439 | 2025-03-24 15:05:24 | cuneal | 3 | 112716 | 463 | 5.780 | 19501.0 |
| 438 | 2025-03-21 02:09:26 | cuneal | 2 | 82551 | 27 | 16.830 | 4905.0 |
| 437 | 2025-03-21 01:15:11 | cuneal | 3 | 112716 | 463 | 28.016 | 4023.3 |
| 436 | 2025-03-19 13:46:16 | cuneal | 1 | 48755 | 1 | 1.076 | 45311.3 |
| 435 | 2025-03-15 02:20:00 | cuneal | 1 | 48755 | 1 | 3.173 | 15365.6 |
| 434 | 2025-03-08 03:13:51 | cuneal | 1 | 48755 | 1 | 2.330 | 20924.9 |
| 433 | 2025-03-04 00:27:35 | cuneal | 1 | 48755 | 1 | 3.923 | 12428.0 |
| 432 | 2025-03-01 04:34:40 | cuneal | 1 | 48755 | 1 | 5.440 | 8962.3 |
| 431 | 2025-02-27 10:12:51 | cuneal | 3 | 112716 | 463 | 26.656 | 4228.5 |
| 430 | 2025-02-26 14:46:01 | cuneal | 3 | 112716 | 463 | 25.330 | 4449.9 |