History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"serialised"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 536 | 2025-10-29 05:53:21 | serialised | 3 | 140603 | 44 | 6.500 | 21631.2 |
| 535 | 2025-10-25 15:00:44 | serialised | 1 | 67641 | 4 | 1.096 | 61716.2 |
| 534 | 2025-10-21 10:15:41 | serialised | 4 | 161450 | 261 | 31.610 | 5107.6 |
| 533 | 2025-10-11 05:25:59 | serialised | 4 | 161450 | 261 | 11.656 | 13851.2 |
| 532 | 2025-10-08 11:20:59 | serialised | 1 | 67641 | 4 | 1.250 | 54112.8 |
| 531 | 2025-10-06 05:02:43 | serialised | 3 | 140603 | 44 | 7.500 | 18747.1 |
| 530 | 2025-10-06 05:02:38 | serialised | 4 | 161450 | 261 | 12.143 | 13295.7 |
| 529 | 2025-10-04 13:15:07 | serialised | 1 | 67641 | 4 | 1.106 | 61158.2 |
| 528 | 2025-09-10 09:42:43 | serialised | 2 | 108824 | 13 | 6.813 | 15973.0 |
| 527 | 2025-09-09 13:49:52 | serialised | 1 | 67641 | 4 | 1.080 | 62630.6 |
| 526 | 2025-09-09 13:29:33 | serialised | 1 | 67641 | 4 | 1.280 | 52844.5 |
| 525 | 2025-09-03 13:08:02 | serialised | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 524 | 2025-08-27 09:15:15 | serialised | 1 | 67641 | 4 | 2.796 | 24192.1 |
| 523 | 2025-08-21 09:17:16 | serialised | 4 | 161450 | 261 | 44.546 | 3624.3 |
| 522 | 2025-08-21 01:09:53 | serialised | 1 | 67641 | 4 | 2.890 | 23405.2 |
| 521 | 2025-08-17 03:24:33 | serialised | 1 | 67641 | 4 | 2.530 | 26735.6 |
| 520 | 2025-08-16 17:09:11 | serialised | 4 | 161450 | 261 | 13.140 | 12286.9 |
| 519 | 2025-08-11 16:50:57 | serialised | 3 | 140603 | 44 | 19.593 | 7176.2 |
| 518 | 2025-08-11 12:36:34 | serialised | 4 | 161450 | 261 | 35.520 | 4545.3 |
| 517 | 2025-08-11 03:19:02 | serialised | 2 | 108824 | 13 | 3.686 | 29523.6 |
| 516 | 2025-08-09 18:01:27 | serialised | 1 | 67641 | 4 | 5.500 | 12298.4 |
| 515 | 2025-07-24 01:03:22 | serialised | 1 | 67641 | 4 | 3.076 | 21989.9 |
| 514 | 2025-07-23 05:56:47 | serialised | 1 | 67641 | 4 | 5.500 | 12298.4 |
| 513 | 2025-07-17 19:59:20 | serialised | 1 | 67641 | 4 | 2.580 | 26217.4 |
| 512 | 2025-07-09 04:20:57 | serialised | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 511 | 2025-07-08 16:19:39 | serialised | 1 | 67641 | 4 | 6.533 | 10353.7 |
| 510 | 2025-07-04 01:44:25 | serialised | 1 | 67641 | 4 | 5.423 | 12473.0 |
| 509 | 2025-06-17 22:26:27 | serialised | 1 | 67641 | 4 | 2.940 | 23007.1 |
| 508 | 2025-06-15 23:24:02 | serialised | 1 | 67641 | 4 | 5.733 | 11798.5 |
| 507 | 2025-06-15 16:15:51 | serialised | 1 | 67641 | 4 | 1.283 | 52721.0 |
| 506 | 2025-06-14 00:36:50 | serialised | 1 | 67641 | 4 | 6.030 | 11217.4 |
| 505 | 2025-06-10 16:44:45 | serialised | 4 | 161450 | 261 | 41.296 | 3909.6 |
| 504 | 2025-06-09 23:58:18 | serialised | 4 | 161450 | 261 | 57.236 | 2820.8 |
| 503 | 2025-06-09 03:38:52 | serialised | 4 | 161450 | 261 | 11.360 | 14212.1 |
| 502 | 2025-06-07 10:54:26 | serialised | 3 | 140603 | 44 | 14.313 | 9823.4 |
| 501 | 2025-06-04 09:20:55 | serialised | 3 | 140603 | 44 | 31.816 | 4419.3 |
| 500 | 2025-06-03 01:55:15 | serialised | 3 | 140603 | 44 | 6.203 | 22666.9 |
| 499 | 2025-06-01 02:32:16 | serialised | 4 | 161450 | 261 | 66.850 | 2415.1 |
| 498 | 2025-05-22 09:15:16 | serialised | 1 | 67641 | 4 | 4.330 | 15621.5 |
| 497 | 2025-05-22 08:59:33 | serialised | 1 | 67641 | 4 | 3.423 | 19760.7 |
| 496 | 2025-05-22 07:50:16 | serialised | 1 | 67641 | 4 | 6.610 | 10233.1 |
| 495 | 2025-05-18 11:31:03 | serialised | 1 | 67641 | 4 | 6.296 | 10743.5 |
| 494 | 2025-05-14 21:18:28 | serialised | 1 | 67641 | 4 | 1.186 | 57032.9 |
| 493 | 2025-05-11 23:43:49 | serialised | 1 | 67641 | 4 | 5.376 | 12582.0 |
| 492 | 2025-05-10 08:43:12 | serialised | 4 | 161450 | 261 | 64.986 | 2484.4 |
| 491 | 2025-05-09 08:19:08 | serialised | 1 | 67641 | 4 | 1.266 | 53428.9 |
| 490 | 2025-05-08 04:09:35 | serialised | 4 | 161450 | 261 | 52.380 | 3082.3 |
| 489 | 2025-05-08 00:12:21 | serialised | 1 | 67641 | 4 | 6.016 | 11243.5 |
| 488 | 2025-05-06 16:36:05 | serialised | 4 | 161450 | 261 | 46.940 | 3439.5 |
| 487 | 2025-05-04 16:28:38 | serialised | 4 | 161450 | 261 | 62.440 | 2585.7 |
| 486 | 2025-05-03 23:37:27 | serialised | 2 | 108824 | 13 | 9.190 | 11841.6 |
| 485 | 2025-05-02 18:12:48 | serialised | 3 | 140603 | 44 | 6.953 | 20221.9 |
| 484 | 2025-05-02 15:24:30 | serialised | 1 | 67641 | 4 | 2.966 | 22805.5 |
| 483 | 2025-04-26 16:00:11 | serialised | 3 | 140603 | 44 | 26.863 | 5234.1 |
| 482 | 2025-04-26 09:51:26 | serialised | 3 | 140603 | 44 | 16.580 | 8480.3 |
| 481 | 2025-04-22 02:40:26 | serialised | 3 | 140603 | 44 | 19.593 | 7176.2 |
| 480 | 2025-04-11 01:10:51 | serialised | 1 | 67641 | 4 | 3.690 | 18330.9 |
| 479 | 2025-04-10 23:13:04 | serialised | 1 | 67641 | 4 | 5.580 | 12122.0 |
| 478 | 2025-03-23 11:07:46 | serialised | 1 | 67641 | 4 | 5.530 | 12231.6 |
| 477 | 2025-03-18 17:00:18 | serialised | 1 | 67641 | 4 | 2.673 | 25305.3 |
| 476 | 2025-02-20 00:39:49 | serialised | 1 | 67641 | 4 | 6.016 | 11243.5 |
| 475 | 2025-02-19 13:10:58 | serialised | 3 | 140603 | 44 | 31.813 | 4419.7 |
| 474 | 2025-02-16 15:29:42 | serialised | 3 | 140603 | 44 | 34.440 | 4082.5 |
| 473 | 2025-02-16 15:28:54 | serialised | 1 | 67641 | 4 | 3.546 | 19075.3 |
| 472 | 2025-02-12 12:29:36 | serialised | 3 | 140603 | 44 | 44.456 | 3162.7 |
| 471 | 2025-02-12 12:29:24 | serialised | 2 | 108824 | 13 | 15.593 | 6979.0 |
| 470 | 2025-02-06 03:56:22 | serialised | 3 | 140603 | 44 | 47.046 | 2988.6 |
| 469 | 2025-02-06 03:56:18 | serialised | 3 | 140603 | 44 | 47.190 | 2979.5 |
| 468 | 2025-02-06 03:56:18 | serialised | 2 | 108824 | 13 | 18.953 | 5741.8 |
| 467 | 2025-02-06 03:25:41 | serialised | 1 | 67641 | 4 | 5.720 | 11825.3 |
| 466 | 2025-01-29 09:13:41 | serialised | 3 | 140603 | 44 | 33.133 | 4243.6 |
| 465 | 2025-01-29 09:13:30 | serialised | 3 | 140603 | 44 | 26.020 | 5403.7 |
| 464 | 2025-01-29 09:13:39 | serialised | 2 | 108824 | 13 | 15.706 | 6928.8 |
| 463 | 2025-01-29 09:12:08 | serialised | 1 | 67641 | 4 | 6.830 | 9903.5 |
| 462 | 2025-01-19 14:36:06 | serialised | 1 | 67641 | 4 | 2.953 | 22905.9 |
| 461 | 2025-01-10 11:40:53 | serialised | 1 | 67641 | 4 | 1.186 | 57032.9 |
| 460 | 2025-01-08 22:19:36 | serialised | 3 | 140603 | 44 | 48.750 | 2884.2 |
| 459 | 2024-12-28 08:20:30 | serialised | 1 | 67641 | 4 | 1.046 | 64666.3 |
| 458 | 2024-12-26 00:43:55 | serialised | 3 | 140603 | 44 | 36.330 | 3870.2 |
| 457 | 2024-12-26 00:43:52 | serialised | 3 | 140603 | 44 | 32.893 | 4274.6 |
| 456 | 2024-12-26 00:43:55 | serialised | 2 | 108824 | 13 | 16.876 | 6448.4 |
| 455 | 2024-12-26 00:42:48 | serialised | 1 | 67641 | 4 | 8.080 | 8371.4 |
| 454 | 2024-12-09 17:27:29 | serialised | 1 | 67641 | 4 | 1.063 | 63632.2 |
| 453 | 2024-11-27 15:15:35 | serialised | 1 | 67641 | 4 | 1.220 | 55443.4 |
| 452 | 2024-11-22 07:48:33 | serialised | 1 | 67641 | 4 | 5.906 | 11452.9 |
| 451 | 2024-11-05 13:22:23 | serialised | 3 | 140603 | 44 | 37.656 | 3733.9 |
| 450 | 2024-10-25 03:56:36 | serialised | 2 | 108824 | 13 | 11.890 | 9152.6 |
| 449 | 2024-10-25 03:50:11 | serialised | 1 | 67641 | 4 | 2.593 | 26086.0 |
| 448 | 2024-10-23 11:58:49 | serialised | 2 | 108824 | 13 | 20.546 | 5296.6 |
| 447 | 2024-10-23 11:53:17 | serialised | 1 | 67641 | 4 | 3.936 | 17185.2 |
| 446 | 2024-10-23 11:51:23 | serialised | 3 | 140603 | 44 | 33.453 | 4203.0 |
| 445 | 2024-10-22 21:22:23 | serialised | 3 | 140603 | 44 | 43.003 | 3269.6 |
| 444 | 2024-10-22 21:22:08 | serialised | 2 | 108824 | 13 | 11.263 | 9662.1 |
| 443 | 2024-10-22 14:23:08 | serialised | 3 | 140603 | 44 | 35.160 | 3998.9 |
| 442 | 2024-10-22 14:04:26 | serialised | 1 | 67641 | 4 | 2.250 | 30062.7 |
| 441 | 2024-10-21 21:27:51 | serialised | 3 | 140603 | 44 | 32.753 | 4292.8 |
| 440 | 2024-10-21 21:27:46 | serialised | 3 | 140603 | 44 | 31.110 | 4519.5 |
| 439 | 2024-10-21 21:27:42 | serialised | 2 | 108824 | 13 | 16.576 | 6565.2 |
| 438 | 2024-10-21 21:27:25 | serialised | 1 | 67641 | 4 | 5.203 | 13000.4 |
| 437 | 2024-09-22 23:12:44 | serialised | 1 | 67641 | 4 | 4.453 | 15190.0 |