History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"nanoscale"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 487 | 2026-01-21 02:54:31 | nanoscale | 1 | 81242 | 1 | 1.750 | 46424.0 |
| 486 | 2026-01-20 10:39:06 | nanoscale | 1 | 81242 | 1 | 1.436 | 56575.2 |
| 485 | 2025-12-05 04:18:48 | nanoscale | 3 | 148641 | 4 | 12.706 | 11698.5 |
| 484 | 2025-11-28 23:54:18 | nanoscale | 1 | 81242 | 1 | 2.483 | 32719.3 |
| 483 | 2025-11-18 21:41:24 | nanoscale | 1 | 81242 | 1 | 1.483 | 54782.2 |
| 482 | 2025-11-15 15:38:41 | nanoscale | 1 | 81242 | 1 | 1.283 | 63321.9 |
| 481 | 2025-10-18 04:48:35 | nanoscale | 1 | 81242 | 1 | 1.483 | 54782.2 |
| 480 | 2025-10-02 20:11:13 | nanoscale | 1 | 81242 | 1 | 1.626 | 49964.3 |
| 479 | 2025-09-01 23:12:23 | nanoscale | 1 | 81242 | 1 | 1.390 | 58447.5 |
| 478 | 2025-08-12 10:08:52 | nanoscale | 3 | 148641 | 4 | 32.156 | 4622.5 |
| 477 | 2025-08-09 16:01:44 | nanoscale | 1 | 81242 | 1 | 3.610 | 22504.7 |
| 476 | 2025-08-08 19:58:05 | nanoscale | 1 | 81242 | 1 | 1.436 | 56575.2 |
| 475 | 2025-08-01 13:40:13 | nanoscale | 1 | 81242 | 1 | 3.716 | 21862.8 |
| 474 | 2025-07-24 13:27:41 | nanoscale | 1 | 81242 | 1 | 10.156 | 7999.4 |
| 473 | 2025-07-23 12:45:32 | nanoscale | 3 | 148641 | 4 | 34.066 | 4363.3 |
| 472 | 2025-07-23 05:46:56 | nanoscale | 4 | 165329 | 99 | 32.953 | 5017.1 |
| 471 | 2025-07-22 03:47:28 | nanoscale | 1 | 81242 | 1 | 6.766 | 12007.4 |
| 470 | 2025-07-17 17:33:53 | nanoscale | 4 | 165329 | 99 | 71.720 | 2305.2 |
| 469 | 2025-07-16 13:15:51 | nanoscale | 4 | 165329 | 99 | 12.690 | 13028.3 |
| 468 | 2025-07-15 23:13:17 | nanoscale | 1 | 81242 | 1 | 1.313 | 61875.1 |
| 467 | 2025-07-10 23:06:29 | nanoscale | 1 | 81242 | 1 | 7.080 | 11474.9 |
| 466 | 2025-07-03 14:25:12 | nanoscale | 1 | 81242 | 1 | 1.280 | 63470.3 |
| 465 | 2025-06-28 20:39:41 | nanoscale | 1 | 81242 | 1 | 1.373 | 59171.2 |
| 464 | 2025-05-25 15:22:43 | nanoscale | 3 | 148641 | 4 | 7.283 | 20409.3 |
| 463 | 2025-05-22 13:00:41 | nanoscale | 2 | 121436 | 1 | 13.996 | 8676.5 |
| 462 | 2025-05-14 08:58:16 | nanoscale | 1 | 81242 | 1 | 4.220 | 19251.7 |
| 461 | 2025-05-05 09:43:27 | nanoscale | 1 | 81242 | 1 | 1.450 | 56029.0 |
| 460 | 2025-04-02 03:53:29 | nanoscale | 1 | 81242 | 1 | 5.346 | 15196.8 |
| 459 | 2025-03-29 15:02:45 | nanoscale | 1 | 81242 | 1 | 6.940 | 11706.3 |
| 458 | 2025-03-15 18:10:54 | nanoscale | 3 | 148641 | 4 | 37.406 | 3973.7 |
| 457 | 2025-03-15 18:10:48 | nanoscale | 2 | 121436 | 1 | 18.280 | 6643.1 |
| 456 | 2025-03-15 18:10:34 | nanoscale | 3 | 148641 | 4 | 29.860 | 4977.9 |
| 455 | 2025-03-15 18:10:33 | nanoscale | 3 | 148641 | 4 | 19.423 | 7652.8 |
| 454 | 2025-03-15 18:06:55 | nanoscale | 1 | 81242 | 1 | 1.500 | 54161.3 |
| 453 | 2025-02-15 18:11:42 | nanoscale | 3 | 148641 | 4 | 39.703 | 3743.8 |
| 452 | 2025-01-29 20:43:20 | nanoscale | 3 | 148641 | 4 | 38.673 | 3843.5 |
| 451 | 2025-01-23 14:49:47 | nanoscale | 1 | 81242 | 1 | 6.436 | 12623.1 |
| 450 | 2025-01-23 05:10:10 | nanoscale | 3 | 148641 | 4 | 35.940 | 4135.8 |
| 449 | 2025-01-23 05:10:13 | nanoscale | 2 | 121436 | 1 | 14.923 | 8137.5 |
| 448 | 2025-01-23 05:09:44 | nanoscale | 3 | 148641 | 4 | 35.783 | 4154.0 |
| 447 | 2025-01-23 05:07:58 | nanoscale | 1 | 81242 | 1 | 1.436 | 56575.2 |
| 446 | 2025-01-21 22:40:13 | nanoscale | 3 | 148641 | 4 | 33.093 | 4491.6 |
| 445 | 2025-01-12 11:09:16 | nanoscale | 3 | 148641 | 4 | 42.173 | 3524.6 |
| 444 | 2025-01-02 01:15:54 | nanoscale | 3 | 148641 | 4 | 36.643 | 4056.5 |
| 443 | 2024-12-19 01:06:52 | nanoscale | 3 | 148641 | 4 | 36.663 | 4054.3 |
| 442 | 2024-12-19 01:06:56 | nanoscale | 2 | 121436 | 1 | 17.033 | 7129.5 |
| 441 | 2024-12-19 01:04:19 | nanoscale | 1 | 81242 | 1 | 5.940 | 13677.1 |
| 440 | 2024-12-11 14:44:07 | nanoscale | 1 | 81242 | 1 | 4.266 | 19044.1 |
| 439 | 2024-12-05 10:15:04 | nanoscale | 4 | 165329 | 99 | 72.943 | 2266.6 |
| 438 | 2024-11-25 06:24:18 | nanoscale | 4 | 165329 | 99 | 62.676 | 2637.8 |
| 437 | 2024-11-25 06:24:06 | nanoscale | 4 | 165329 | 99 | 56.376 | 2932.6 |
| 436 | 2024-11-25 06:24:19 | nanoscale | 2 | 121436 | 1 | 21.376 | 5681.0 |
| 435 | 2024-11-25 06:22:47 | nanoscale | 1 | 81242 | 1 | 3.406 | 23852.6 |
| 434 | 2024-11-12 18:52:16 | nanoscale | 1 | 81242 | 1 | 5.030 | 16151.5 |
| 433 | 2024-11-09 03:19:11 | nanoscale | 1 | 81242 | 1 | 5.716 | 14213.1 |
| 432 | 2024-11-06 22:05:55 | nanoscale | 3 | 148641 | 4 | 24.373 | 6098.6 |
| 431 | 2024-11-04 12:24:50 | nanoscale | 3 | 148641 | 4 | 13.530 | 10986.0 |
| 430 | 2024-11-03 08:38:56 | nanoscale | 3 | 148641 | 4 | 36.593 | 4062.0 |
| 429 | 2024-11-03 08:39:05 | nanoscale | 2 | 121436 | 1 | 19.156 | 6339.3 |
| 428 | 2024-11-03 08:37:13 | nanoscale | 1 | 81242 | 1 | 3.156 | 25742.1 |
| 427 | 2024-10-18 18:13:26 | nanoscale | 3 | 148641 | 4 | 60.990 | 2437.1 |
| 426 | 2024-10-10 09:07:51 | nanoscale | 3 | 148641 | 4 | 31.686 | 4691.1 |
| 425 | 2024-10-06 23:03:10 | nanoscale | 3 | 148641 | 4 | 59.203 | 2510.7 |
| 424 | 2024-10-05 15:26:26 | nanoscale | 3 | 148641 | 4 | 53.300 | 2788.8 |
| 423 | 2024-10-03 14:58:27 | nanoscale | 3 | 148641 | 4 | 86.436 | 1719.7 |
| 422 | 2024-10-03 14:58:43 | nanoscale | 2 | 121436 | 1 | 21.920 | 5540.0 |
| 421 | 2024-10-03 14:56:53 | nanoscale | 4 | 165329 | 99 | 83.946 | 1969.5 |
| 420 | 2024-10-03 14:56:54 | nanoscale | 3 | 148641 | 4 | 45.586 | 3260.7 |
| 419 | 2024-10-03 14:56:44 | nanoscale | 1 | 81242 | 1 | 4.376 | 18565.4 |
| 418 | 2024-09-20 08:46:30 | nanoscale | 1 | 81242 | 1 | 12.766 | 6363.9 |
| 417 | 2024-08-28 21:35:02 | nanoscale | 1 | 81242 | 1 | 1.233 | 65889.7 |
| 416 | 2024-08-19 01:53:56 | nanoscale | 1 | 81242 | 1 | 10.690 | 7599.8 |
| 415 | 2024-07-27 10:01:26 | nanoscale | 4 | 165329 | 99 | 59.066 | 2799.1 |
| 414 | 2024-07-22 09:23:01 | nanoscale | 4 | 165329 | 99 | 44.376 | 3725.6 |
| 413 | 2024-07-22 07:38:36 | nanoscale | 4 | 165329 | 99 | 29.250 | 5652.3 |
| 412 | 2024-07-19 12:57:19 | nanoscale | 4 | 165329 | 99 | 64.263 | 2572.7 |
| 411 | 2024-07-19 04:50:39 | nanoscale | 1 | 81242 | 1 | 5.483 | 14817.1 |
| 410 | 2024-07-19 03:11:08 | nanoscale | 4 | 165329 | 99 | 56.113 | 2946.4 |
| 409 | 2024-07-19 03:10:36 | nanoscale | 4 | 165329 | 99 | 69.050 | 2394.3 |
| 408 | 2024-07-19 03:11:12 | nanoscale | 3 | 148641 | 4 | 25.300 | 5875.1 |
| 407 | 2024-07-19 03:11:28 | nanoscale | 2 | 121436 | 1 | 6.580 | 18455.3 |
| 406 | 2024-07-19 03:04:19 | nanoscale | 1 | 81242 | 1 | 3.326 | 24426.3 |
| 405 | 2024-07-12 03:19:10 | nanoscale | 1 | 81242 | 1 | 6.470 | 12556.7 |
| 404 | 2024-06-15 15:27:11 | nanoscale | 2 | 121436 | 1 | 20.020 | 6065.7 |
| 403 | 2024-06-15 15:21:16 | nanoscale | 1 | 81242 | 1 | 2.940 | 27633.3 |
| 402 | 2024-06-11 09:08:57 | nanoscale | 3 | 148641 | 4 | 27.970 | 5314.3 |
| 401 | 2024-06-07 16:45:48 | nanoscale | 3 | 148641 | 4 | 34.640 | 4291.0 |
| 400 | 2024-05-30 03:56:54 | nanoscale | 4 | 165329 | 99 | 62.363 | 2651.1 |
| 399 | 2024-05-29 22:57:12 | nanoscale | 4 | 165329 | 99 | 45.660 | 3620.9 |
| 398 | 2024-05-29 18:49:00 | nanoscale | 4 | 165329 | 99 | 56.970 | 2902.0 |
| 397 | 2024-05-29 18:05:20 | nanoscale | 3 | 148641 | 4 | 27.300 | 5444.7 |
| 396 | 2024-05-29 10:27:28 | nanoscale | 3 | 148641 | 4 | 37.176 | 3998.3 |
| 395 | 2024-05-29 10:27:32 | nanoscale | 3 | 148641 | 4 | 21.203 | 7010.4 |
| 394 | 2024-05-29 08:51:24 | nanoscale | 5 | 174418 | 1253 | 82.440 | 2115.7 |
| 393 | 2024-05-29 08:51:37 | nanoscale | 4 | 165329 | 99 | 57.313 | 2884.7 |
| 392 | 2024-05-29 08:51:46 | nanoscale | 3 | 148641 | 4 | 35.173 | 4226.0 |
| 391 | 2024-05-29 08:51:57 | nanoscale | 2 | 121436 | 1 | 6.860 | 17702.0 |
| 390 | 2024-05-29 08:50:12 | nanoscale | 1 | 81242 | 1 | 4.403 | 18451.5 |
| 389 | 2024-05-28 10:49:37 | nanoscale | 1 | 81242 | 1 | 7.220 | 11252.4 |
| 388 | 2024-04-04 01:10:00 | nanoscale | 4 | 165329 | 99 | 23.970 | 6897.3 |