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 |
| 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 |
| 420 | 2025-09-27 04:08:32 | macroscale | 5 | 173545 | 503 | 16.986 | 10216.9 |
| 419 | 2025-09-26 15:26:42 | macroscale | 5 | 173545 | 503 | 18.080 | 9598.7 |
| 418 | 2025-09-23 21:11:53 | macroscale | 1 | 67641 | 3 | 1.153 | 58665.2 |
| 417 | 2025-09-22 14:01:51 | macroscale | 5 | 173545 | 503 | 16.343 | 10618.9 |
| 416 | 2025-09-19 15:18:49 | macroscale | 5 | 173545 | 503 | 18.656 | 9302.4 |
| 415 | 2025-09-18 21:23:44 | macroscale | 5 | 173545 | 503 | 25.423 | 6826.3 |
| 414 | 2025-09-11 06:19:21 | macroscale | 3 | 140603 | 11 | 5.783 | 24313.2 |
| 413 | 2025-09-10 23:22:55 | macroscale | 3 | 140603 | 11 | 6.563 | 21423.6 |
| 412 | 2025-09-08 22:28:30 | macroscale | 2 | 108824 | 4 | 3.063 | 35528.6 |
| 411 | 2025-09-06 01:23:40 | macroscale | 4 | 161450 | 69 | 10.236 | 15772.8 |
| 410 | 2025-09-03 23:03:39 | macroscale | 1 | 67641 | 3 | 1.063 | 63632.2 |
| 409 | 2025-09-01 13:35:09 | macroscale | 5 | 173545 | 503 | 16.453 | 10547.9 |
| 408 | 2025-09-01 05:14:54 | macroscale | 5 | 173545 | 503 | 28.266 | 6139.7 |
| 407 | 2025-08-31 18:58:21 | macroscale | 5 | 173545 | 503 | 22.970 | 7555.3 |
| 406 | 2025-08-31 08:33:32 | macroscale | 5 | 173545 | 503 | 17.330 | 10014.1 |
| 405 | 2025-08-30 12:40:57 | macroscale | 1 | 67641 | 3 | 2.360 | 28661.4 |
| 404 | 2025-08-29 22:37:00 | macroscale | 4 | 161450 | 69 | 10.550 | 15303.3 |
| 403 | 2025-08-29 06:14:14 | macroscale | 4 | 161450 | 69 | 11.343 | 14233.4 |
| 402 | 2025-08-29 06:13:55 | macroscale | 3 | 140603 | 11 | 5.810 | 24200.2 |
| 401 | 2025-08-29 06:13:00 | macroscale | 2 | 108824 | 4 | 2.690 | 40455.0 |
| 400 | 2025-08-21 13:06:12 | macroscale | 1 | 67641 | 3 | 5.530 | 12231.6 |
| 399 | 2025-08-09 03:02:32 | macroscale | 1 | 67641 | 3 | 3.110 | 21749.5 |
| 398 | 2025-08-05 17:53:04 | macroscale | 2 | 108824 | 4 | 7.216 | 15080.9 |
| 397 | 2025-08-05 16:17:02 | macroscale | 2 | 108824 | 4 | 6.736 | 16155.6 |
| 396 | 2025-08-05 06:13:54 | macroscale | 3 | 140603 | 11 | 19.766 | 7113.4 |
| 395 | 2025-08-04 04:33:16 | macroscale | 1 | 67641 | 3 | 1.190 | 56841.2 |
| 394 | 2025-08-03 05:49:25 | macroscale | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 393 | 2025-07-25 07:54:13 | macroscale | 1 | 67641 | 3 | 5.313 | 12731.2 |
| 392 | 2025-07-24 14:15:16 | macroscale | 1 | 67641 | 3 | 2.610 | 25916.1 |
| 391 | 2025-07-20 08:08:17 | macroscale | 1 | 67641 | 3 | 6.843 | 9884.7 |
| 390 | 2025-07-19 19:36:28 | macroscale | 1 | 67641 | 3 | 1.170 | 57812.8 |
| 389 | 2025-07-17 06:41:06 | macroscale | 2 | 108824 | 4 | 7.903 | 13770.0 |
| 388 | 2025-07-16 21:12:31 | macroscale | 3 | 140603 | 11 | 30.000 | 4686.8 |
| 387 | 2025-07-16 02:24:31 | macroscale | 1 | 67641 | 3 | 1.250 | 54112.8 |
| 386 | 2025-07-15 10:16:46 | macroscale | 4 | 161450 | 69 | 69.876 | 2310.5 |
| 385 | 2025-07-13 05:06:58 | macroscale | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 384 | 2025-07-12 01:57:01 | macroscale | 4 | 161450 | 69 | 12.013 | 13439.6 |
| 383 | 2025-07-07 02:15:46 | macroscale | 2 | 108824 | 4 | 8.423 | 12919.9 |
| 382 | 2025-07-04 04:56:22 | macroscale | 1 | 67641 | 3 | 3.046 | 22206.5 |
| 381 | 2025-07-03 09:45:17 | macroscale | 1 | 67641 | 3 | 1.093 | 61885.6 |
| 380 | 2025-07-03 04:43:26 | macroscale | 4 | 161450 | 69 | 14.936 | 10809.5 |
| 379 | 2025-06-30 14:29:24 | macroscale | 2 | 108824 | 4 | 11.576 | 9400.8 |
| 378 | 2025-06-30 10:53:58 | macroscale | 4 | 161450 | 69 | 48.236 | 3347.1 |
| 377 | 2025-06-29 02:08:45 | macroscale | 1 | 67641 | 3 | 1.233 | 54858.9 |
| 376 | 2025-06-10 01:01:50 | macroscale | 4 | 161450 | 69 | 65.850 | 2451.8 |
| 375 | 2025-06-08 18:31:19 | macroscale | 4 | 161450 | 69 | 30.830 | 5236.8 |
| 374 | 2025-06-06 01:03:41 | macroscale | 2 | 108824 | 4 | 11.406 | 9540.9 |
| 373 | 2025-05-30 12:35:13 | macroscale | 1 | 67641 | 3 | 5.310 | 12738.4 |
| 372 | 2025-05-28 06:16:49 | macroscale | 1 | 67641 | 3 | 1.220 | 55443.4 |
| 371 | 2025-05-26 10:46:14 | macroscale | 3 | 140603 | 11 | 25.830 | 5443.4 |