History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"macroscale"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 520 | 2026-04-18 03:30:52 | macroscale | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 519 | 2026-04-17 07:48:27 | macroscale | 1 | 67641 | 3 | 2.530 | 26735.6 |
| 518 | 2026-04-16 19:26:57 | macroscale | 2 | 108824 | 4 | 3.203 | 33975.6 |
| 517 | 2026-04-15 12:50:17 | macroscale | 3 | 140603 | 11 | 31.406 | 4476.9 |
| 516 | 2026-04-15 03:07:57 | macroscale | 1 | 67641 | 3 | 3.046 | 22206.5 |
| 515 | 2026-04-15 02:20:48 | macroscale | 3 | 140603 | 11 | 17.923 | 7844.8 |
| 514 | 2026-04-11 19:48:25 | macroscale | 1 | 67641 | 3 | 5.766 | 11731.0 |
| 513 | 2026-04-10 02:29:46 | macroscale | 3 | 140603 | 11 | 16.863 | 8338.0 |
| 512 | 2026-04-10 02:24:47 | macroscale | 1 | 67641 | 3 | 2.796 | 24192.1 |
| 511 | 2026-04-01 18:31:47 | macroscale | 1 | 67641 | 3 | 7.390 | 9153.0 |
| 510 | 2026-04-01 14:39:24 | macroscale | 1 | 67641 | 3 | 5.326 | 12700.2 |
| 509 | 2026-03-31 04:35:28 | macroscale | 5 | 173545 | 503 | 92.770 | 1870.7 |
| 508 | 2026-03-28 23:35:23 | macroscale | 5 | 173545 | 503 | 91.143 | 1904.1 |
| 507 | 2026-03-28 15:45:54 | macroscale | 5 | 173545 | 503 | 99.193 | 1749.6 |
| 506 | 2026-03-26 16:34:25 | macroscale | 5 | 173545 | 503 | 90.096 | 1926.2 |
| 505 | 2026-03-25 10:19:59 | macroscale | 3 | 140603 | 11 | 34.340 | 4094.4 |
| 504 | 2026-03-24 03:11:20 | macroscale | 5 | 173545 | 503 | 95.660 | 1814.2 |
| 503 | 2026-03-23 14:50:23 | macroscale | 2 | 108824 | 4 | 11.016 | 9878.7 |
| 502 | 2026-03-23 04:02:39 | macroscale | 5 | 173545 | 503 | 94.846 | 1829.8 |
| 501 | 2026-03-22 19:19:18 | macroscale | 5 | 173545 | 503 | 81.660 | 2125.2 |
| 500 | 2026-03-21 02:50:56 | macroscale | 1 | 67641 | 3 | 8.080 | 8371.4 |
| 499 | 2026-03-20 04:30:59 | macroscale | 5 | 173545 | 503 | 85.410 | 2031.9 |
| 498 | 2026-03-17 16:06:47 | macroscale | 5 | 173545 | 503 | 17.626 | 9846.0 |
| 497 | 2026-03-07 02:13:01 | macroscale | 2 | 108824 | 4 | 3.236 | 33629.2 |
| 496 | 2026-03-06 17:50:35 | macroscale | 1 | 67641 | 3 | 1.203 | 56226.9 |
| 495 | 2026-03-06 17:35:30 | macroscale | 1 | 67641 | 3 | 2.360 | 28661.4 |
| 494 | 2026-03-05 22:28:26 | macroscale | 1 | 67641 | 3 | 1.186 | 57032.9 |
| 493 | 2026-02-21 12:37:49 | macroscale | 1 | 67641 | 3 | 1.123 | 60232.4 |
| 492 | 2026-02-21 03:04:51 | macroscale | 1 | 67641 | 3 | 1.076 | 62863.4 |
| 491 | 2026-02-19 07:03:37 | macroscale | 1 | 67641 | 3 | 1.093 | 61885.6 |
| 490 | 2026-02-07 10:03:23 | macroscale | 5 | 173545 | 503 | 88.323 | 1964.9 |
| 489 | 2026-02-07 00:26:37 | macroscale | 5 | 173545 | 503 | 18.500 | 9380.8 |
| 488 | 2026-02-06 22:38:56 | macroscale | 4 | 161450 | 69 | 12.080 | 13365.1 |
| 487 | 2026-02-06 18:50:26 | macroscale | 1 | 67641 | 3 | 1.300 | 52031.5 |
| 486 | 2026-02-01 02:42:03 | macroscale | 5 | 173545 | 503 | 26.406 | 6572.2 |
| 485 | 2026-01-25 17:56:41 | macroscale | 5 | 173545 | 503 | 91.943 | 1887.5 |
| 484 | 2026-01-25 17:55:06 | macroscale | 5 | 173545 | 503 | 92.460 | 1877.0 |
| 483 | 2026-01-25 17:53:44 | macroscale | 5 | 173545 | 503 | 89.756 | 1933.5 |
| 482 | 2026-01-25 17:51:56 | macroscale | 5 | 173545 | 503 | 76.846 | 2258.3 |
| 481 | 2026-01-24 16:21:51 | macroscale | 5 | 173545 | 503 | 82.833 | 2095.1 |
| 480 | 2026-01-24 16:21:08 | macroscale | 5 | 173545 | 503 | 94.210 | 1842.1 |
| 479 | 2026-01-24 16:20:28 | macroscale | 5 | 173545 | 503 | 84.066 | 2064.4 |
| 478 | 2026-01-24 16:19:42 | macroscale | 5 | 173545 | 503 | 96.113 | 1805.6 |
| 477 | 2026-01-22 18:48:42 | macroscale | 5 | 173545 | 503 | 79.986 | 2169.7 |
| 476 | 2026-01-22 18:46:20 | macroscale | 5 | 173545 | 503 | 98.610 | 1759.9 |
| 475 | 2026-01-22 18:44:22 | macroscale | 5 | 173545 | 503 | 82.496 | 2103.7 |
| 474 | 2026-01-22 18:42:48 | macroscale | 5 | 173545 | 503 | 88.210 | 1967.4 |
| 473 | 2026-01-21 11:12:29 | macroscale | 3 | 140603 | 11 | 6.673 | 21070.4 |
| 472 | 2026-01-18 02:52:25 | macroscale | 2 | 108824 | 4 | 3.156 | 34481.6 |
| 471 | 2026-01-17 09:07:38 | macroscale | 1 | 67641 | 3 | 1.233 | 54858.9 |
| 470 | 2026-01-09 00:19:15 | macroscale | 5 | 173545 | 503 | 58.050 | 2989.6 |
| 469 | 2026-01-07 10:49:18 | macroscale | 5 | 173545 | 503 | 42.990 | 4036.9 |
| 468 | 2026-01-07 10:49:29 | macroscale | 5 | 173545 | 503 | 28.643 | 6058.9 |
| 467 | 2026-01-06 12:59:19 | macroscale | 1 | 67641 | 3 | 1.046 | 64666.3 |
| 466 | 2026-01-03 22:29:58 | macroscale | 1 | 67641 | 3 | 1.250 | 54112.8 |
| 465 | 2025-12-27 23:05:48 | macroscale | 5 | 173545 | 503 | 17.330 | 10014.1 |
| 464 | 2025-12-25 21:50:18 | macroscale | 1 | 67641 | 3 | 1.170 | 57812.8 |
| 463 | 2025-12-24 10:27:26 | macroscale | 1 | 67641 | 3 | 1.266 | 53428.9 |
| 462 | 2025-12-23 23:54:29 | macroscale | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 461 | 2025-12-23 15:23:33 | macroscale | 4 | 161450 | 69 | 19.330 | 8352.3 |
| 460 | 2025-12-23 09:20:30 | macroscale | 1 | 67641 | 3 | 2.126 | 31816.1 |
| 459 | 2025-12-23 07:49:54 | macroscale | 1 | 67641 | 3 | 2.796 | 24192.1 |
| 458 | 2025-12-22 20:11:22 | macroscale | 5 | 173545 | 503 | 17.736 | 9784.9 |
| 457 | 2025-12-22 08:38:40 | macroscale | 5 | 173545 | 503 | 52.520 | 3304.4 |
| 456 | 2025-12-07 22:40:19 | macroscale | 4 | 161450 | 69 | 17.860 | 9039.8 |
| 455 | 2025-12-07 18:32:56 | macroscale | 5 | 173545 | 503 | 20.703 | 8382.6 |
| 454 | 2025-12-06 18:36:24 | macroscale | 3 | 140603 | 11 | 6.686 | 21029.5 |
| 453 | 2025-12-06 02:20:35 | macroscale | 4 | 161450 | 69 | 10.763 | 15000.5 |
| 452 | 2025-12-06 02:12:58 | macroscale | 1 | 67641 | 3 | 1.093 | 61885.6 |
| 451 | 2025-12-05 13:52:39 | macroscale | 1 | 67641 | 3 | 1.186 | 57032.9 |
| 450 | 2025-12-05 03:58:47 | macroscale | 3 | 140603 | 11 | 6.686 | 21029.5 |
| 449 | 2025-12-04 20:51:04 | macroscale | 1 | 67641 | 3 | 1.063 | 63632.2 |
| 448 | 2025-12-02 04:17:47 | macroscale | 5 | 173545 | 503 | 18.406 | 9428.7 |
| 447 | 2025-11-28 15:37:14 | macroscale | 5 | 173545 | 503 | 19.923 | 8710.8 |
| 446 | 2025-11-25 11:30:12 | macroscale | 4 | 161450 | 69 | 12.736 | 12676.7 |
| 445 | 2025-11-23 03:34:47 | macroscale | 1 | 67641 | 3 | 1.216 | 55625.8 |
| 444 | 2025-11-22 01:17:51 | macroscale | 1 | 67641 | 3 | 1.186 | 57032.9 |
| 443 | 2025-11-22 00:24:15 | macroscale | 3 | 140603 | 11 | 6.970 | 20172.6 |
| 442 | 2025-11-21 22:51:29 | macroscale | 5 | 173545 | 503 | 31.406 | 5525.9 |
| 441 | 2025-11-21 06:05:51 | macroscale | 2 | 108824 | 4 | 2.936 | 37065.4 |
| 440 | 2025-11-19 16:18:13 | macroscale | 5 | 173545 | 503 | 28.500 | 6089.3 |
| 439 | 2025-11-18 01:40:48 | macroscale | 5 | 173545 | 503 | 16.253 | 10677.7 |
| 438 | 2025-11-17 05:54:04 | macroscale | 2 | 108824 | 4 | 3.110 | 34991.6 |
| 437 | 2025-11-14 22:37:43 | macroscale | 5 | 173545 | 503 | 21.783 | 7967.0 |
| 436 | 2025-11-01 01:15:28 | macroscale | 4 | 161450 | 69 | 10.046 | 16071.1 |
| 435 | 2025-10-28 06:23:44 | macroscale | 4 | 161450 | 69 | 10.876 | 14844.6 |
| 434 | 2025-10-26 14:55:33 | macroscale | 4 | 161450 | 69 | 16.093 | 10032.3 |
| 433 | 2025-10-24 07:55:40 | macroscale | 1 | 67641 | 3 | 1.046 | 64666.3 |
| 432 | 2025-10-21 18:22:30 | macroscale | 5 | 173545 | 503 | 82.453 | 2104.8 |
| 431 | 2025-10-21 07:55:48 | macroscale | 1 | 67641 | 3 | 3.186 | 21230.7 |
| 430 | 2025-10-21 07:55:40 | macroscale | 1 | 67641 | 3 | 5.453 | 12404.4 |
| 429 | 2025-10-21 07:55:33 | macroscale | 1 | 67641 | 3 | 6.106 | 11077.8 |
| 428 | 2025-10-21 07:55:24 | macroscale | 1 | 67641 | 3 | 6.186 | 10934.5 |
| 427 | 2025-10-18 07:30:03 | macroscale | 5 | 173545 | 503 | 17.343 | 10006.6 |
| 426 | 2025-10-17 16:19:44 | macroscale | 4 | 161450 | 69 | 22.750 | 7096.7 |
| 425 | 2025-10-17 05:33:16 | macroscale | 5 | 173545 | 503 | 18.326 | 9469.9 |
| 424 | 2025-10-16 02:58:12 | macroscale | 1 | 67641 | 3 | 1.096 | 61716.2 |
| 423 | 2025-10-06 14:26:33 | macroscale | 4 | 161450 | 69 | 11.016 | 14656.0 |
| 422 | 2025-10-06 09:52:21 | macroscale | 4 | 161450 | 69 | 12.283 | 13144.2 |
| 421 | 2025-10-02 13:20:28 | macroscale | 5 | 173545 | 503 | 16.093 | 10783.9 |