History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"milliaries"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 553 | 2026-01-09 06:12:12 | milliaries | 1 | 67641 | 2 | 4.406 | 15352.0 |
| 552 | 2026-01-06 10:09:16 | milliaries | 4 | 161450 | 262 | 9.440 | 17102.8 |
| 551 | 2026-01-04 10:44:59 | milliaries | 4 | 161450 | 262 | 12.233 | 13197.9 |
| 550 | 2026-01-03 01:14:48 | milliaries | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 549 | 2025-12-30 22:37:24 | milliaries | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 548 | 2025-12-29 05:02:33 | milliaries | 1 | 67641 | 2 | 1.190 | 56841.2 |
| 547 | 2025-12-25 19:28:27 | milliaries | 4 | 161450 | 262 | 28.033 | 5759.3 |
| 546 | 2025-12-25 19:28:18 | milliaries | 4 | 161450 | 262 | 18.533 | 8711.5 |
| 545 | 2025-12-23 08:17:21 | milliaries | 4 | 161450 | 262 | 10.220 | 15797.5 |
| 544 | 2025-12-18 12:02:02 | milliaries | 1 | 67641 | 2 | 1.186 | 57032.9 |
| 543 | 2025-12-18 04:16:57 | milliaries | 1 | 67641 | 2 | 1.280 | 52844.5 |
| 542 | 2025-11-30 00:38:58 | milliaries | 2 | 108824 | 9 | 5.703 | 19081.9 |
| 541 | 2025-11-29 22:28:59 | milliaries | 1 | 67641 | 2 | 1.170 | 57812.8 |
| 540 | 2025-11-13 06:14:34 | milliaries | 4 | 161450 | 262 | 11.063 | 14593.7 |
| 539 | 2025-11-12 04:02:24 | milliaries | 4 | 161450 | 262 | 9.940 | 16242.5 |
| 538 | 2025-11-02 01:06:57 | milliaries | 1 | 67641 | 2 | 1.500 | 45094.0 |
| 537 | 2025-10-21 22:05:56 | milliaries | 2 | 108824 | 9 | 9.750 | 11161.4 |
| 536 | 2025-10-21 22:05:48 | milliaries | 2 | 108824 | 9 | 7.486 | 14537.0 |
| 535 | 2025-10-21 22:05:37 | milliaries | 2 | 108824 | 9 | 8.390 | 12970.7 |
| 534 | 2025-10-21 22:05:25 | milliaries | 2 | 108824 | 9 | 15.376 | 7077.5 |
| 533 | 2025-10-21 19:38:17 | milliaries | 1 | 67641 | 2 | 2.546 | 26567.6 |
| 532 | 2025-10-21 19:38:12 | milliaries | 1 | 67641 | 2 | 5.486 | 12329.7 |
| 531 | 2025-10-21 19:38:02 | milliaries | 1 | 67641 | 2 | 5.533 | 12225.0 |
| 530 | 2025-10-21 19:37:51 | milliaries | 1 | 67641 | 2 | 7.953 | 8505.1 |
| 529 | 2025-10-15 05:44:08 | milliaries | 4 | 161450 | 262 | 9.500 | 16994.7 |
| 528 | 2025-10-04 12:32:21 | milliaries | 4 | 161450 | 262 | 9.516 | 16966.2 |
| 527 | 2025-09-26 17:00:00 | milliaries | 4 | 161450 | 262 | 9.860 | 16374.2 |
| 526 | 2025-09-17 12:37:59 | milliaries | 4 | 161450 | 262 | 19.530 | 8266.8 |
| 525 | 2025-09-17 04:03:08 | milliaries | 4 | 161450 | 262 | 9.736 | 16582.8 |
| 524 | 2025-09-04 21:30:14 | milliaries | 4 | 161450 | 262 | 10.406 | 15515.1 |
| 523 | 2025-08-28 04:04:53 | milliaries | 1 | 67641 | 2 | 1.186 | 57032.9 |
| 522 | 2025-08-23 02:49:02 | milliaries | 1 | 67641 | 2 | 4.890 | 13832.5 |
| 521 | 2025-08-19 01:30:18 | milliaries | 3 | 140603 | 45 | 16.310 | 8620.7 |
| 520 | 2025-08-17 02:42:13 | milliaries | 1 | 67641 | 2 | 2.546 | 26567.6 |
| 519 | 2025-08-16 07:00:08 | milliaries | 4 | 161450 | 262 | 11.780 | 13705.4 |
| 518 | 2025-08-12 22:14:17 | milliaries | 4 | 161450 | 262 | 48.260 | 3345.4 |
| 517 | 2025-08-12 13:07:44 | milliaries | 3 | 140603 | 45 | 13.470 | 10438.2 |
| 516 | 2025-08-10 09:17:52 | milliaries | 3 | 140603 | 45 | 13.373 | 10513.9 |
| 515 | 2025-08-02 11:22:21 | milliaries | 4 | 161450 | 262 | 28.000 | 5766.1 |
| 514 | 2025-08-01 15:10:48 | milliaries | 1 | 67641 | 2 | 5.810 | 11642.2 |
| 513 | 2025-08-01 09:15:16 | milliaries | 1 | 67641 | 2 | 5.203 | 13000.4 |
| 512 | 2025-07-31 18:43:54 | milliaries | 4 | 161450 | 262 | 29.813 | 5415.4 |
| 511 | 2025-07-31 07:35:23 | milliaries | 4 | 161450 | 262 | 32.143 | 5022.9 |
| 510 | 2025-07-29 15:21:55 | milliaries | 4 | 161450 | 262 | 47.750 | 3381.2 |
| 509 | 2025-07-25 05:58:28 | milliaries | 4 | 161450 | 262 | 51.446 | 3138.2 |
| 508 | 2025-07-24 06:42:51 | milliaries | 1 | 67641 | 2 | 5.860 | 11542.8 |
| 507 | 2025-07-23 08:28:01 | milliaries | 1 | 67641 | 2 | 3.750 | 18037.6 |
| 506 | 2025-07-14 17:17:39 | milliaries | 2 | 108824 | 9 | 16.470 | 6607.4 |
| 505 | 2025-07-05 21:31:56 | milliaries | 4 | 161450 | 262 | 13.906 | 11610.1 |
| 504 | 2025-07-05 14:07:04 | milliaries | 2 | 108824 | 9 | 15.533 | 7006.0 |
| 503 | 2025-07-04 02:56:30 | milliaries | 1 | 67641 | 2 | 4.466 | 15145.8 |
| 502 | 2025-07-03 18:36:15 | milliaries | 1 | 67641 | 2 | 1.126 | 60071.9 |
| 501 | 2025-07-02 19:48:43 | milliaries | 2 | 108824 | 9 | 15.983 | 6808.7 |
| 500 | 2025-07-01 08:46:59 | milliaries | 4 | 161450 | 262 | 11.483 | 14059.9 |
| 499 | 2025-06-30 08:16:38 | milliaries | 4 | 161450 | 262 | 51.426 | 3139.5 |
| 498 | 2025-06-29 16:52:19 | milliaries | 4 | 161450 | 262 | 11.656 | 13851.2 |
| 497 | 2025-06-27 14:40:19 | milliaries | 4 | 161450 | 262 | 10.780 | 14976.8 |
| 496 | 2025-06-24 14:41:17 | milliaries | 1 | 67641 | 2 | 4.810 | 14062.6 |
| 495 | 2025-06-21 14:56:57 | milliaries | 1 | 67641 | 2 | 4.280 | 15804.0 |
| 494 | 2025-06-19 06:25:01 | milliaries | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 493 | 2025-06-18 09:03:42 | milliaries | 1 | 67641 | 2 | 6.766 | 9997.2 |
| 492 | 2025-06-18 06:15:13 | milliaries | 1 | 67641 | 2 | 5.436 | 12443.2 |
| 491 | 2025-06-16 12:45:47 | milliaries | 1 | 67641 | 2 | 4.640 | 14577.8 |
| 490 | 2025-06-15 15:15:19 | milliaries | 1 | 67641 | 2 | 1.000 | 67641.0 |
| 489 | 2025-06-02 00:15:14 | milliaries | 1 | 67641 | 2 | 4.206 | 16082.0 |
| 488 | 2025-05-27 18:10:27 | milliaries | 1 | 67641 | 2 | 4.046 | 16718.0 |
| 487 | 2025-05-26 11:38:22 | milliaries | 1 | 67641 | 2 | 2.576 | 26258.2 |
| 486 | 2025-05-15 14:33:10 | milliaries | 1 | 67641 | 2 | 1.093 | 61885.6 |
| 485 | 2025-05-10 19:59:40 | milliaries | 3 | 140603 | 45 | 16.846 | 8346.4 |
| 484 | 2025-05-10 13:25:45 | milliaries | 1 | 67641 | 2 | 3.486 | 19403.6 |
| 483 | 2025-05-10 06:45:20 | milliaries | 1 | 67641 | 2 | 5.373 | 12589.1 |
| 482 | 2025-05-08 12:52:48 | milliaries | 1 | 67641 | 2 | 5.500 | 12298.4 |
| 481 | 2025-05-04 16:56:38 | milliaries | 3 | 140603 | 45 | 20.783 | 6765.3 |
| 480 | 2025-04-26 17:25:32 | milliaries | 3 | 140603 | 45 | 20.640 | 6812.2 |
| 479 | 2025-04-26 13:55:28 | milliaries | 2 | 108824 | 9 | 14.000 | 7773.1 |
| 478 | 2025-04-26 11:49:26 | milliaries | 3 | 140603 | 45 | 51.876 | 2710.4 |
| 477 | 2025-04-26 09:38:44 | milliaries | 2 | 108824 | 9 | 13.453 | 8089.2 |
| 476 | 2025-04-26 08:35:34 | milliaries | 3 | 140603 | 45 | 16.470 | 8536.9 |
| 475 | 2025-04-25 23:49:40 | milliaries | 3 | 140603 | 45 | 35.376 | 3974.5 |
| 474 | 2025-04-25 06:45:28 | milliaries | 1 | 67641 | 2 | 5.326 | 12700.2 |
| 473 | 2025-04-14 14:47:57 | milliaries | 1 | 67641 | 2 | 7.330 | 9228.0 |
| 472 | 2025-04-09 06:21:00 | milliaries | 1 | 67641 | 2 | 5.063 | 13359.9 |
| 471 | 2025-04-06 12:30:12 | milliaries | 1 | 67641 | 2 | 4.513 | 14988.0 |
| 470 | 2025-04-02 08:39:15 | milliaries | 1 | 67641 | 2 | 2.670 | 25333.7 |
| 469 | 2025-03-30 22:08:58 | milliaries | 3 | 140603 | 45 | 34.643 | 4058.6 |
| 468 | 2025-03-29 19:12:28 | milliaries | 3 | 140603 | 45 | 20.830 | 6750.0 |
| 467 | 2025-03-29 15:28:57 | milliaries | 2 | 108824 | 9 | 21.720 | 5010.3 |
| 466 | 2025-03-28 19:43:39 | milliaries | 3 | 140603 | 45 | 5.643 | 24916.4 |
| 465 | 2025-03-25 03:26:08 | milliaries | 3 | 140603 | 45 | 36.830 | 3817.6 |
| 464 | 2025-03-24 10:16:58 | milliaries | 2 | 108824 | 9 | 15.173 | 7172.2 |
| 463 | 2025-03-24 09:15:22 | milliaries | 3 | 140603 | 45 | 30.800 | 4565.0 |
| 462 | 2025-03-22 07:39:08 | milliaries | 1 | 67641 | 2 | 2.516 | 26884.3 |
| 461 | 2025-03-06 03:01:13 | milliaries | 1 | 67641 | 2 | 8.360 | 8091.0 |
| 460 | 2025-03-02 14:15:04 | milliaries | 3 | 140603 | 45 | 30.656 | 4586.5 |
| 459 | 2025-03-02 14:14:50 | milliaries | 3 | 140603 | 45 | 15.986 | 8795.4 |
| 458 | 2025-03-02 14:14:50 | milliaries | 2 | 108824 | 9 | 13.000 | 8371.1 |
| 457 | 2025-03-02 14:12:03 | milliaries | 1 | 67641 | 2 | 7.843 | 8624.4 |
| 456 | 2025-02-26 09:33:50 | milliaries | 1 | 67641 | 2 | 1.233 | 54858.9 |
| 455 | 2025-02-26 00:35:55 | milliaries | 3 | 140603 | 45 | 35.236 | 3990.3 |
| 454 | 2025-02-16 00:30:21 | milliaries | 3 | 140603 | 45 | 36.066 | 3898.5 |