History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"adjustment"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 581 | 2026-03-18 16:58:25 | adjustment | 1 | 67641 | 2 | 2.423 | 27916.2 |
| 580 | 2026-03-18 00:13:01 | adjustment | 4 | 161450 | 71 | 45.376 | 3558.0 |
| 579 | 2026-03-17 14:18:30 | adjustment | 1 | 67641 | 2 | 2.186 | 30942.8 |
| 578 | 2026-03-15 08:24:14 | adjustment | 4 | 161450 | 71 | 32.423 | 4979.5 |
| 577 | 2026-03-13 02:06:18 | adjustment | 3 | 140603 | 18 | 27.953 | 5030.0 |
| 576 | 2026-03-13 02:05:56 | adjustment | 3 | 140603 | 18 | 29.906 | 4701.5 |
| 575 | 2026-03-13 02:05:20 | adjustment | 3 | 140603 | 18 | 23.466 | 5991.8 |
| 574 | 2026-03-12 05:43:03 | adjustment | 1 | 67641 | 2 | 1.173 | 57665.0 |
| 573 | 2026-03-10 14:21:29 | adjustment | 4 | 161450 | 71 | 10.063 | 16043.9 |
| 572 | 2026-03-03 01:42:21 | adjustment | 4 | 161450 | 71 | 10.233 | 15777.4 |
| 571 | 2026-03-01 14:01:39 | adjustment | 1 | 67641 | 2 | 1.126 | 60071.9 |
| 570 | 2026-02-27 14:44:22 | adjustment | 4 | 161450 | 71 | 76.950 | 2098.1 |
| 569 | 2026-02-27 12:36:16 | adjustment | 3 | 140603 | 18 | 27.843 | 5049.9 |
| 568 | 2026-02-27 12:29:43 | adjustment | 4 | 161450 | 71 | 52.826 | 3056.3 |
| 567 | 2026-02-27 11:11:56 | adjustment | 2 | 108824 | 4 | 15.236 | 7142.6 |
| 566 | 2026-02-27 04:47:57 | adjustment | 4 | 161450 | 71 | 55.706 | 2898.3 |
| 565 | 2026-02-27 02:32:44 | adjustment | 3 | 140603 | 18 | 17.796 | 7900.8 |
| 564 | 2026-02-25 07:36:50 | adjustment | 4 | 161450 | 71 | 53.940 | 2993.1 |
| 563 | 2026-02-23 07:12:23 | adjustment | 5 | 173545 | 334 | 15.720 | 11039.8 |
| 562 | 2026-02-22 04:48:41 | adjustment | 1 | 67641 | 2 | 1.326 | 51011.3 |
| 561 | 2026-02-21 02:21:50 | adjustment | 5 | 173545 | 334 | 18.890 | 9187.1 |
| 560 | 2026-02-20 08:08:14 | adjustment | 1 | 67641 | 2 | 1.093 | 61885.6 |
| 559 | 2026-02-19 23:05:48 | adjustment | 4 | 161450 | 71 | 20.970 | 7699.1 |
| 558 | 2026-02-19 09:20:02 | adjustment | 1 | 67641 | 2 | 1.170 | 57812.8 |
| 557 | 2026-02-19 00:44:51 | adjustment | 1 | 67641 | 2 | 1.186 | 57032.9 |
| 556 | 2026-02-17 07:49:11 | adjustment | 4 | 161450 | 71 | 48.613 | 3321.1 |
| 555 | 2026-02-17 02:30:22 | adjustment | 3 | 140603 | 18 | 11.580 | 12141.9 |
| 554 | 2026-02-17 00:00:56 | adjustment | 1 | 67641 | 2 | 1.123 | 60232.4 |
| 553 | 2026-02-14 02:28:13 | adjustment | 4 | 161450 | 71 | 55.646 | 2901.4 |
| 552 | 2026-02-09 08:45:49 | adjustment | 3 | 140603 | 18 | 33.456 | 4202.6 |
| 551 | 2026-02-09 01:48:51 | adjustment | 2 | 108824 | 4 | 2.860 | 38050.3 |
| 550 | 2026-01-30 15:24:04 | adjustment | 2 | 108824 | 4 | 8.500 | 12802.8 |
| 549 | 2026-01-25 16:18:25 | adjustment | 2 | 108824 | 4 | 3.110 | 34991.6 |
| 548 | 2026-01-08 13:43:44 | adjustment | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 547 | 2026-01-04 00:07:29 | adjustment | 1 | 67641 | 2 | 1.843 | 36701.6 |
| 546 | 2026-01-02 19:33:19 | adjustment | 5 | 173545 | 334 | 61.413 | 2825.9 |
| 545 | 2025-12-30 22:57:29 | adjustment | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 544 | 2025-12-29 17:27:59 | adjustment | 1 | 67641 | 2 | 1.750 | 38652.0 |
| 543 | 2025-12-28 15:30:09 | adjustment | 2 | 108824 | 4 | 3.170 | 34329.3 |
| 542 | 2025-12-26 17:57:43 | adjustment | 1 | 67641 | 2 | 1.220 | 55443.4 |
| 541 | 2025-12-26 02:37:15 | adjustment | 1 | 67641 | 2 | 1.110 | 60937.8 |
| 540 | 2025-12-24 00:49:01 | adjustment | 1 | 67641 | 2 | 5.953 | 11362.5 |
| 539 | 2025-12-24 00:48:38 | adjustment | 1 | 67641 | 2 | 6.283 | 10765.7 |
| 538 | 2025-12-19 03:07:49 | adjustment | 5 | 173545 | 334 | 79.986 | 2169.7 |
| 537 | 2025-12-19 00:44:47 | adjustment | 5 | 173545 | 334 | 51.283 | 3384.1 |
| 536 | 2025-11-25 07:09:33 | adjustment | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 535 | 2025-11-22 01:36:39 | adjustment | 1 | 67641 | 2 | 3.063 | 22083.3 |
| 534 | 2025-11-20 01:44:44 | adjustment | 1 | 67641 | 2 | 1.160 | 58311.2 |
| 533 | 2025-11-17 21:19:51 | adjustment | 5 | 173545 | 334 | 15.923 | 10899.0 |
| 532 | 2025-11-16 12:13:09 | adjustment | 1 | 67641 | 2 | 1.783 | 37936.6 |
| 531 | 2025-11-12 20:03:24 | adjustment | 5 | 173545 | 334 | 15.733 | 11030.6 |
| 530 | 2025-11-01 06:19:12 | adjustment | 1 | 67641 | 2 | 1.263 | 53555.8 |
| 529 | 2025-10-12 06:10:26 | adjustment | 2 | 108824 | 4 | 2.673 | 40712.3 |
| 528 | 2025-10-10 11:33:32 | adjustment | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 527 | 2025-10-10 03:37:52 | adjustment | 1 | 67641 | 2 | 1.046 | 64666.3 |
| 526 | 2025-10-09 22:39:39 | adjustment | 1 | 67641 | 2 | 1.016 | 66575.8 |
| 525 | 2025-10-06 11:49:21 | adjustment | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 524 | 2025-10-01 18:02:36 | adjustment | 1 | 67641 | 2 | 1.033 | 65480.2 |
| 523 | 2025-09-27 21:03:05 | adjustment | 5 | 173545 | 334 | 16.983 | 10218.7 |
| 522 | 2025-09-22 10:23:30 | adjustment | 5 | 173545 | 334 | 14.596 | 11889.9 |
| 521 | 2025-09-15 17:43:24 | adjustment | 3 | 140603 | 18 | 5.750 | 24452.7 |
| 520 | 2025-09-11 06:19:29 | adjustment | 2 | 108824 | 4 | 2.986 | 36444.7 |
| 519 | 2025-09-10 19:12:35 | adjustment | 5 | 173545 | 334 | 16.986 | 10216.9 |
| 518 | 2025-09-10 17:48:03 | adjustment | 4 | 161450 | 71 | 9.126 | 17691.2 |
| 517 | 2025-09-04 19:52:46 | adjustment | 1 | 67641 | 2 | 1.046 | 64666.3 |
| 516 | 2025-08-29 03:28:46 | adjustment | 1 | 67641 | 2 | 1.216 | 55625.8 |
| 515 | 2025-08-28 06:11:57 | adjustment | 1 | 67641 | 2 | 1.126 | 60071.9 |
| 514 | 2025-08-28 02:29:42 | adjustment | 1 | 67641 | 2 | 1.093 | 61885.6 |
| 513 | 2025-08-17 10:06:56 | adjustment | 4 | 161450 | 71 | 23.690 | 6815.1 |
| 512 | 2025-08-16 19:07:31 | adjustment | 2 | 108824 | 4 | 15.550 | 6998.3 |
| 511 | 2025-08-15 12:36:04 | adjustment | 1 | 67641 | 2 | 2.750 | 24596.7 |
| 510 | 2025-08-15 09:18:16 | adjustment | 4 | 161450 | 71 | 30.266 | 5334.4 |
| 509 | 2025-08-15 06:10:16 | adjustment | 3 | 140603 | 18 | 15.160 | 9274.6 |
| 508 | 2025-08-14 22:18:52 | adjustment | 2 | 108824 | 4 | 5.813 | 18720.8 |
| 507 | 2025-08-14 01:42:04 | adjustment | 1 | 67641 | 2 | 1.170 | 57812.8 |
| 506 | 2025-08-01 13:59:32 | adjustment | 2 | 108824 | 4 | 12.950 | 8403.4 |
| 505 | 2025-08-01 12:41:45 | adjustment | 3 | 140603 | 18 | 32.080 | 4382.9 |
| 504 | 2025-08-01 01:26:42 | adjustment | 3 | 140603 | 18 | 33.410 | 4208.4 |
| 503 | 2025-07-25 06:28:17 | adjustment | 1 | 67641 | 2 | 4.780 | 14150.8 |
| 502 | 2025-07-24 07:08:01 | adjustment | 1 | 67641 | 2 | 3.096 | 21847.9 |
| 501 | 2025-07-18 04:34:55 | adjustment | 3 | 140603 | 18 | 14.970 | 9392.3 |
| 500 | 2025-07-16 05:31:48 | adjustment | 1 | 67641 | 2 | 6.923 | 9770.5 |
| 499 | 2025-07-13 09:00:12 | adjustment | 1 | 67641 | 2 | 5.466 | 12374.9 |
| 498 | 2025-07-12 18:36:23 | adjustment | 3 | 140603 | 18 | 5.966 | 23567.4 |
| 497 | 2025-07-05 10:45:34 | adjustment | 3 | 140603 | 18 | 25.736 | 5463.3 |
| 496 | 2025-07-05 06:02:02 | adjustment | 2 | 108824 | 4 | 8.016 | 13575.8 |
| 495 | 2025-07-05 01:50:24 | adjustment | 4 | 161450 | 71 | 50.893 | 3172.3 |
| 494 | 2025-07-02 04:01:57 | adjustment | 1 | 67641 | 2 | 7.563 | 8943.7 |
| 493 | 2025-06-30 03:41:59 | adjustment | 4 | 161450 | 71 | 55.893 | 2888.6 |
| 492 | 2025-06-27 11:58:29 | adjustment | 4 | 161450 | 71 | 33.440 | 4828.1 |
| 491 | 2025-06-21 14:24:25 | adjustment | 4 | 161450 | 71 | 47.733 | 3382.4 |
| 490 | 2025-05-31 09:04:32 | adjustment | 1 | 67641 | 2 | 5.156 | 13118.9 |
| 489 | 2025-05-15 08:48:25 | adjustment | 3 | 140603 | 18 | 6.420 | 21900.8 |
| 488 | 2025-05-14 03:12:22 | adjustment | 1 | 67641 | 2 | 6.220 | 10874.8 |
| 487 | 2025-05-10 16:47:14 | adjustment | 3 | 140603 | 18 | 23.673 | 5939.4 |
| 486 | 2025-05-06 03:32:30 | adjustment | 4 | 161450 | 71 | 43.936 | 3674.7 |
| 485 | 2025-05-04 09:58:12 | adjustment | 4 | 161450 | 71 | 49.406 | 3267.8 |
| 484 | 2025-05-01 17:58:06 | adjustment | 4 | 161450 | 71 | 11.673 | 13831.1 |
| 483 | 2025-04-28 03:52:24 | adjustment | 1 | 67641 | 2 | 2.436 | 27767.2 |
| 482 | 2025-04-26 08:38:42 | adjustment | 1 | 67641 | 2 | 3.046 | 22206.5 |