History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"normalised"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 522 | 2025-10-27 10:58:55 | normalised | 4 | 161450 | 222 | 11.860 | 13613.0 |
| 521 | 2025-10-26 08:51:33 | normalised | 3 | 140603 | 44 | 6.203 | 22666.9 |
| 520 | 2025-10-21 21:55:01 | normalised | 1 | 67641 | 5 | 7.470 | 9055.0 |
| 519 | 2025-10-18 18:35:26 | normalised | 1 | 67641 | 5 | 1.343 | 50365.6 |
| 518 | 2025-10-16 18:24:01 | normalised | 1 | 67641 | 5 | 1.033 | 65480.2 |
| 517 | 2025-10-11 20:28:21 | normalised | 1 | 67641 | 5 | 1.063 | 63632.2 |
| 516 | 2025-10-11 20:28:20 | normalised | 1 | 67641 | 5 | 1.063 | 63632.2 |
| 515 | 2025-10-11 18:40:22 | normalised | 1 | 67641 | 5 | 1.156 | 58513.0 |
| 514 | 2025-10-11 18:40:15 | normalised | 1 | 67641 | 5 | 1.030 | 65670.9 |
| 513 | 2025-10-11 06:33:11 | normalised | 1 | 67641 | 5 | 1.123 | 60232.4 |
| 512 | 2025-10-07 10:23:01 | normalised | 1 | 67641 | 5 | 1.170 | 57812.8 |
| 511 | 2025-10-03 12:39:12 | normalised | 1 | 67641 | 5 | 1.140 | 59334.2 |
| 510 | 2025-10-01 16:07:49 | normalised | 2 | 108824 | 12 | 2.733 | 39818.5 |
| 509 | 2025-09-25 23:19:34 | normalised | 1 | 67641 | 5 | 4.903 | 13795.8 |
| 508 | 2025-09-20 03:23:43 | normalised | 2 | 108824 | 12 | 3.546 | 30689.2 |
| 507 | 2025-09-18 12:03:43 | normalised | 4 | 161450 | 222 | 16.860 | 9575.9 |
| 506 | 2025-09-18 07:30:46 | normalised | 1 | 67641 | 5 | 1.050 | 64420.0 |
| 505 | 2025-09-14 17:06:00 | normalised | 1 | 67641 | 5 | 1.220 | 55443.4 |
| 504 | 2025-09-09 04:01:59 | normalised | 1 | 67641 | 5 | 1.046 | 64666.3 |
| 503 | 2025-08-28 14:14:53 | normalised | 1 | 67641 | 5 | 1.186 | 57032.9 |
| 502 | 2025-08-27 23:06:38 | normalised | 1 | 67641 | 5 | 1.156 | 58513.0 |
| 501 | 2025-08-27 03:45:51 | normalised | 1 | 67641 | 5 | 1.220 | 55443.4 |
| 500 | 2025-08-16 02:30:47 | normalised | 1 | 67641 | 5 | 2.750 | 24596.7 |
| 499 | 2025-08-10 12:09:38 | normalised | 1 | 67641 | 5 | 3.050 | 22177.4 |
| 498 | 2025-08-09 14:44:33 | normalised | 1 | 67641 | 5 | 5.063 | 13359.9 |
| 497 | 2025-08-09 14:04:24 | normalised | 1 | 67641 | 5 | 2.766 | 24454.4 |
| 496 | 2025-08-06 18:13:46 | normalised | 4 | 161450 | 222 | 43.626 | 3700.8 |
| 495 | 2025-08-06 04:18:10 | normalised | 4 | 161450 | 222 | 29.110 | 5546.2 |
| 494 | 2025-08-04 17:08:05 | normalised | 4 | 161450 | 222 | 55.073 | 2931.6 |
| 493 | 2025-08-04 11:48:13 | normalised | 4 | 161450 | 222 | 27.690 | 5830.6 |
| 492 | 2025-08-03 17:13:10 | normalised | 1 | 67641 | 5 | 1.013 | 66773.0 |
| 491 | 2025-08-03 00:26:41 | normalised | 1 | 67641 | 5 | 6.563 | 10306.4 |
| 490 | 2025-08-02 03:55:58 | normalised | 4 | 161450 | 222 | 73.040 | 2210.4 |
| 489 | 2025-07-28 10:32:04 | normalised | 4 | 161450 | 222 | 59.300 | 2722.6 |
| 488 | 2025-07-28 10:17:00 | normalised | 4 | 161450 | 222 | 39.046 | 4134.9 |
| 487 | 2025-07-26 23:45:20 | normalised | 4 | 161450 | 222 | 31.936 | 5055.4 |
| 486 | 2025-07-23 12:10:58 | normalised | 1 | 67641 | 5 | 10.830 | 6245.7 |
| 485 | 2025-07-21 21:47:42 | normalised | 1 | 67641 | 5 | 1.250 | 54112.8 |
| 484 | 2025-07-21 03:51:30 | normalised | 1 | 67641 | 5 | 1.170 | 57812.8 |
| 483 | 2025-07-18 10:14:04 | normalised | 4 | 161450 | 222 | 69.626 | 2318.8 |
| 482 | 2025-07-17 03:08:10 | normalised | 1 | 67641 | 5 | 6.906 | 9794.5 |
| 481 | 2025-07-13 07:08:41 | normalised | 1 | 67641 | 5 | 1.203 | 56226.9 |
| 480 | 2025-07-12 15:49:12 | normalised | 1 | 67641 | 5 | 1.220 | 55443.4 |
| 479 | 2025-07-11 18:45:18 | normalised | 4 | 161450 | 222 | 65.550 | 2463.0 |
| 478 | 2025-07-11 17:25:23 | normalised | 3 | 140603 | 44 | 22.000 | 6391.0 |
| 477 | 2025-07-10 16:21:01 | normalised | 3 | 140603 | 44 | 48.716 | 2886.2 |
| 476 | 2025-07-07 16:12:31 | normalised | 3 | 140603 | 44 | 33.203 | 4234.6 |
| 475 | 2025-07-07 14:26:26 | normalised | 1 | 67641 | 5 | 2.606 | 25955.9 |
| 474 | 2025-07-06 13:35:49 | normalised | 3 | 140603 | 44 | 32.753 | 4292.8 |
| 473 | 2025-07-05 23:34:38 | normalised | 2 | 108824 | 12 | 7.626 | 14270.1 |
| 472 | 2025-07-05 11:11:20 | normalised | 2 | 108824 | 12 | 11.953 | 9104.3 |
| 471 | 2025-07-05 01:51:29 | normalised | 3 | 140603 | 44 | 39.316 | 3576.2 |
| 470 | 2025-07-04 17:25:22 | normalised | 4 | 161450 | 222 | 11.203 | 14411.3 |
| 469 | 2025-07-04 10:56:15 | normalised | 1 | 67641 | 5 | 3.203 | 21118.0 |
| 468 | 2025-06-30 17:30:34 | normalised | 4 | 161450 | 222 | 36.886 | 4377.0 |
| 467 | 2025-06-29 15:07:58 | normalised | 4 | 161450 | 222 | 11.483 | 14059.9 |
| 466 | 2025-06-28 01:24:40 | normalised | 1 | 67641 | 5 | 5.330 | 12690.6 |
| 465 | 2025-06-27 01:21:30 | normalised | 4 | 161450 | 222 | 50.753 | 3181.1 |
| 464 | 2025-06-24 06:25:34 | normalised | 1 | 67641 | 5 | 3.686 | 18350.8 |
| 463 | 2025-06-23 08:57:09 | normalised | 4 | 161450 | 222 | 42.330 | 3814.1 |
| 462 | 2025-06-22 12:34:18 | normalised | 1 | 67641 | 5 | 2.686 | 25182.8 |
| 461 | 2025-06-22 08:35:19 | normalised | 4 | 161450 | 222 | 51.173 | 3155.0 |
| 460 | 2025-06-19 12:10:38 | normalised | 4 | 161450 | 222 | 43.566 | 3705.9 |
| 459 | 2025-06-18 14:15:54 | normalised | 1 | 67641 | 5 | 3.093 | 21869.1 |
| 458 | 2025-06-17 13:50:40 | normalised | 1 | 67641 | 5 | 1.143 | 59178.5 |
| 457 | 2025-06-07 13:37:56 | normalised | 1 | 67641 | 5 | 5.393 | 12542.4 |
| 456 | 2025-06-02 03:24:48 | normalised | 2 | 108824 | 12 | 11.173 | 9739.9 |
| 455 | 2025-05-28 18:26:27 | normalised | 2 | 108824 | 12 | 3.326 | 32719.2 |
| 454 | 2025-05-28 06:45:22 | normalised | 4 | 161450 | 222 | 16.126 | 10011.8 |
| 453 | 2025-05-28 04:56:00 | normalised | 4 | 161450 | 222 | 11.653 | 13854.8 |
| 452 | 2025-05-25 22:27:33 | normalised | 1 | 67641 | 5 | 3.216 | 21032.6 |
| 451 | 2025-05-23 11:23:25 | normalised | 4 | 161450 | 222 | 80.003 | 2018.0 |
| 450 | 2025-05-23 05:40:52 | normalised | 4 | 161450 | 222 | 62.116 | 2599.2 |
| 449 | 2025-05-22 18:09:54 | normalised | 1 | 67641 | 5 | 3.800 | 17800.3 |
| 448 | 2025-05-22 10:20:53 | normalised | 4 | 161450 | 222 | 36.343 | 4442.4 |
| 447 | 2025-05-22 09:01:46 | normalised | 4 | 161450 | 222 | 74.406 | 2169.9 |
| 446 | 2025-05-21 00:17:55 | normalised | 4 | 161450 | 222 | 12.156 | 13281.5 |
| 445 | 2025-05-20 01:22:32 | normalised | 1 | 67641 | 5 | 5.186 | 13043.0 |
| 444 | 2025-05-17 16:36:35 | normalised | 1 | 67641 | 5 | 1.000 | 67641.0 |
| 443 | 2025-05-14 00:24:32 | normalised | 1 | 67641 | 5 | 7.423 | 9112.4 |
| 442 | 2025-05-08 04:28:15 | normalised | 1 | 67641 | 5 | 4.000 | 16910.3 |
| 441 | 2025-05-02 19:03:10 | normalised | 1 | 67641 | 5 | 3.220 | 21006.5 |
| 440 | 2025-05-02 06:42:26 | normalised | 1 | 67641 | 5 | 2.920 | 23164.7 |
| 439 | 2025-04-29 15:01:08 | normalised | 3 | 140603 | 44 | 6.516 | 21578.1 |
| 438 | 2025-04-26 13:37:52 | normalised | 1 | 67641 | 5 | 5.733 | 11798.5 |
| 437 | 2025-04-26 13:33:48 | normalised | 3 | 140603 | 44 | 32.683 | 4302.0 |
| 436 | 2025-04-24 19:22:14 | normalised | 3 | 140603 | 44 | 6.560 | 21433.4 |
| 435 | 2025-04-14 00:57:18 | normalised | 3 | 140603 | 44 | 36.923 | 3808.0 |
| 434 | 2025-04-13 02:25:32 | normalised | 3 | 140603 | 44 | 6.593 | 21326.1 |
| 433 | 2025-04-09 00:38:51 | normalised | 1 | 67641 | 5 | 5.563 | 12159.1 |
| 432 | 2025-04-06 14:43:11 | normalised | 3 | 140603 | 44 | 33.993 | 4136.2 |
| 431 | 2025-04-04 03:12:09 | normalised | 2 | 108824 | 12 | 16.250 | 6696.9 |
| 430 | 2025-04-02 03:33:05 | normalised | 4 | 161450 | 222 | 41.436 | 3896.4 |
| 429 | 2025-04-02 02:56:34 | normalised | 4 | 161450 | 222 | 69.363 | 2327.6 |
| 428 | 2025-03-27 09:43:51 | normalised | 3 | 140603 | 44 | 16.830 | 8354.3 |
| 427 | 2025-03-25 14:59:44 | normalised | 3 | 140603 | 44 | 37.343 | 3765.2 |
| 426 | 2025-03-25 00:06:59 | normalised | 4 | 161450 | 222 | 71.766 | 2249.7 |
| 425 | 2025-03-24 23:49:12 | normalised | 2 | 108824 | 12 | 15.720 | 6922.6 |
| 424 | 2025-03-23 16:29:20 | normalised | 1 | 67641 | 5 | 7.530 | 8982.9 |
| 423 | 2025-03-23 12:52:20 | normalised | 1 | 67641 | 5 | 5.640 | 11993.1 |