History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"marplot"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 560 | 2026-03-16 20:13:49 | marplot | 1 | 69583 | 2 | 2.610 | 26660.2 |
| 559 | 2026-03-16 04:23:30 | marplot | 4 | 151207 | 1176 | 17.860 | 8466.2 |
| 558 | 2026-03-14 06:33:31 | marplot | 4 | 151207 | 1176 | 12.156 | 12438.9 |
| 557 | 2026-03-12 16:21:26 | marplot | 4 | 151207 | 1176 | 11.110 | 13610.0 |
| 556 | 2026-03-12 12:27:58 | marplot | 4 | 151207 | 1176 | 13.190 | 11463.8 |
| 555 | 2026-03-12 11:45:48 | marplot | 4 | 151207 | 1176 | 10.703 | 14127.5 |
| 554 | 2026-03-12 03:51:13 | marplot | 4 | 151207 | 1176 | 32.580 | 4641.1 |
| 553 | 2026-03-11 23:23:32 | marplot | 1 | 69583 | 2 | 1.250 | 55666.4 |
| 552 | 2026-03-10 04:08:59 | marplot | 1 | 69583 | 2 | 1.280 | 54361.7 |
| 551 | 2026-03-10 02:35:31 | marplot | 1 | 69583 | 2 | 1.186 | 58670.3 |
| 550 | 2026-03-09 22:28:09 | marplot | 1 | 69583 | 2 | 1.236 | 56296.9 |
| 549 | 2026-03-06 00:53:26 | marplot | 4 | 151207 | 1176 | 11.736 | 12884.0 |
| 548 | 2026-03-06 00:00:22 | marplot | 1 | 69583 | 2 | 1.296 | 53690.6 |
| 547 | 2026-03-04 07:31:48 | marplot | 4 | 151207 | 1176 | 12.580 | 12019.6 |
| 546 | 2026-03-01 21:41:32 | marplot | 3 | 134027 | 93 | 6.733 | 19906.0 |
| 545 | 2026-03-01 11:50:39 | marplot | 2 | 107671 | 8 | 4.000 | 26917.8 |
| 544 | 2026-03-01 10:02:57 | marplot | 2 | 107671 | 8 | 3.140 | 34290.1 |
| 543 | 2026-03-01 09:14:19 | marplot | 2 | 107671 | 8 | 3.423 | 31455.2 |
| 542 | 2026-03-01 08:08:27 | marplot | 1 | 69583 | 2 | 1.233 | 56433.9 |
| 541 | 2026-03-01 06:45:12 | marplot | 3 | 134027 | 93 | 6.750 | 19855.9 |
| 540 | 2026-03-01 05:26:19 | marplot | 2 | 107671 | 8 | 3.393 | 31733.3 |
| 539 | 2026-03-01 03:14:13 | marplot | 3 | 134027 | 93 | 6.890 | 19452.4 |
| 538 | 2026-03-01 01:46:20 | marplot | 3 | 134027 | 93 | 6.093 | 21996.9 |
| 537 | 2026-03-01 01:06:42 | marplot | 3 | 134027 | 93 | 7.830 | 17117.1 |
| 536 | 2026-02-28 22:59:39 | marplot | 1 | 69583 | 2 | 2.580 | 26970.2 |
| 535 | 2026-02-28 20:41:16 | marplot | 4 | 151207 | 1176 | 10.470 | 14441.9 |
| 534 | 2026-02-26 10:40:17 | marplot | 1 | 69583 | 2 | 1.216 | 57222.9 |
| 533 | 2026-02-26 09:41:28 | marplot | 1 | 69583 | 2 | 1.233 | 56433.9 |
| 532 | 2026-02-10 20:01:33 | marplot | 2 | 107671 | 8 | 3.376 | 31893.1 |
| 531 | 2026-02-05 20:40:21 | marplot | 2 | 107671 | 8 | 5.393 | 19965.0 |
| 530 | 2026-02-03 00:19:52 | marplot | 4 | 151207 | 1176 | 12.376 | 12217.8 |
| 529 | 2026-01-31 10:53:11 | marplot | 1 | 69583 | 2 | 1.266 | 54962.9 |
| 528 | 2026-01-31 05:14:21 | marplot | 1 | 69583 | 2 | 2.533 | 27470.6 |
| 527 | 2026-01-26 12:49:36 | marplot | 3 | 134027 | 93 | 7.126 | 18808.2 |
| 526 | 2026-01-25 02:46:28 | marplot | 4 | 151207 | 1176 | 12.376 | 12217.8 |
| 525 | 2026-01-24 18:22:08 | marplot | 4 | 151207 | 1176 | 16.093 | 9395.8 |
| 524 | 2026-01-23 15:43:24 | marplot | 2 | 107671 | 8 | 2.923 | 36835.8 |
| 523 | 2026-01-23 13:59:56 | marplot | 3 | 134027 | 93 | 6.206 | 21596.4 |
| 522 | 2026-01-23 11:19:31 | marplot | 4 | 151207 | 1176 | 40.113 | 3769.5 |
| 521 | 2026-01-22 09:35:56 | marplot | 3 | 134027 | 93 | 7.186 | 18651.1 |
| 520 | 2026-01-21 15:13:44 | marplot | 1 | 69583 | 2 | 1.220 | 57035.2 |
| 519 | 2026-01-21 14:47:51 | marplot | 1 | 69583 | 2 | 1.360 | 51164.0 |
| 518 | 2026-01-16 13:15:59 | marplot | 4 | 151207 | 1176 | 31.906 | 4739.1 |
| 517 | 2026-01-14 12:53:09 | marplot | 1 | 69583 | 2 | 1.330 | 52318.0 |
| 516 | 2026-01-13 14:07:58 | marplot | 1 | 69583 | 2 | 1.110 | 62687.4 |
| 515 | 2026-01-13 13:30:55 | marplot | 3 | 134027 | 93 | 7.250 | 18486.5 |
| 514 | 2026-01-12 16:57:54 | marplot | 2 | 107671 | 8 | 3.093 | 34811.2 |
| 513 | 2026-01-12 13:53:45 | marplot | 4 | 151207 | 1176 | 11.093 | 13630.8 |
| 512 | 2026-01-12 09:52:27 | marplot | 1 | 69583 | 2 | 1.250 | 55666.4 |
| 511 | 2026-01-12 06:31:31 | marplot | 1 | 69583 | 2 | 1.313 | 52995.4 |
| 510 | 2026-01-12 03:06:35 | marplot | 1 | 69583 | 2 | 1.280 | 54361.7 |
| 509 | 2026-01-12 02:21:51 | marplot | 2 | 107671 | 8 | 3.013 | 35735.5 |
| 508 | 2026-01-11 22:44:16 | marplot | 3 | 134027 | 93 | 9.483 | 14133.4 |
| 507 | 2026-01-11 22:36:31 | marplot | 1 | 69583 | 2 | 1.110 | 62687.4 |
| 506 | 2026-01-11 21:30:01 | marplot | 1 | 69583 | 2 | 1.216 | 57222.9 |
| 505 | 2026-01-11 11:19:40 | marplot | 3 | 134027 | 93 | 6.673 | 20085.0 |
| 504 | 2026-01-11 02:48:44 | marplot | 2 | 107671 | 8 | 2.936 | 36672.7 |
| 503 | 2026-01-05 22:31:37 | marplot | 1 | 69583 | 2 | 1.233 | 56433.9 |
| 502 | 2026-01-04 16:18:07 | marplot | 1 | 69583 | 2 | 1.170 | 59472.6 |
| 501 | 2025-12-30 11:40:22 | marplot | 1 | 69583 | 2 | 1.266 | 54962.9 |
| 500 | 2025-12-25 18:54:50 | marplot | 2 | 107671 | 8 | 7.000 | 15381.6 |
| 499 | 2025-12-25 03:07:18 | marplot | 4 | 151207 | 1176 | 27.660 | 5466.6 |
| 498 | 2025-12-24 15:07:36 | marplot | 1 | 69583 | 2 | 5.953 | 11688.7 |
| 497 | 2025-12-24 15:07:19 | marplot | 1 | 69583 | 2 | 3.283 | 21194.9 |
| 496 | 2025-12-24 12:22:26 | marplot | 4 | 151207 | 1176 | 19.126 | 7905.8 |
| 495 | 2025-12-24 12:22:16 | marplot | 4 | 151207 | 1176 | 12.190 | 12404.2 |
| 494 | 2025-12-19 03:54:42 | marplot | 1 | 69583 | 2 | 1.126 | 61796.6 |
| 493 | 2025-12-19 03:53:31 | marplot | 1 | 69583 | 2 | 1.216 | 57222.9 |
| 492 | 2025-12-18 13:48:42 | marplot | 4 | 151207 | 1176 | 14.266 | 10599.1 |
| 491 | 2025-12-17 08:45:11 | marplot | 4 | 151207 | 1176 | 44.550 | 3394.1 |
| 490 | 2025-12-15 23:24:12 | marplot | 1 | 69583 | 2 | 1.376 | 50569.0 |
| 489 | 2025-12-10 19:49:21 | marplot | 4 | 151207 | 1176 | 11.110 | 13610.0 |
| 488 | 2025-12-09 20:18:55 | marplot | 4 | 151207 | 1176 | 11.500 | 13148.4 |
| 487 | 2025-12-09 03:06:28 | marplot | 4 | 151207 | 1176 | 13.173 | 11478.6 |
| 486 | 2025-11-27 15:58:40 | marplot | 1 | 69583 | 2 | 1.283 | 54234.6 |
| 485 | 2025-11-27 11:03:24 | marplot | 1 | 69583 | 2 | 1.300 | 53525.4 |
| 484 | 2025-11-22 22:34:03 | marplot | 1 | 69583 | 2 | 2.640 | 26357.2 |
| 483 | 2025-11-22 09:52:48 | marplot | 2 | 107671 | 8 | 3.410 | 31575.1 |
| 482 | 2025-11-21 10:50:27 | marplot | 3 | 134027 | 93 | 7.453 | 17983.0 |
| 481 | 2025-11-18 02:47:08 | marplot | 2 | 107671 | 8 | 3.643 | 29555.6 |
| 480 | 2025-11-18 01:27:21 | marplot | 3 | 134027 | 93 | 7.486 | 17903.7 |
| 479 | 2025-11-17 15:19:33 | marplot | 4 | 151207 | 1176 | 14.690 | 10293.2 |
| 478 | 2025-11-17 02:36:45 | marplot | 3 | 134027 | 93 | 7.466 | 17951.6 |
| 477 | 2025-11-11 14:41:02 | marplot | 4 | 151207 | 1176 | 11.016 | 13726.1 |
| 476 | 2025-11-08 23:10:16 | marplot | 2 | 107671 | 8 | 3.626 | 29694.2 |
| 475 | 2025-11-05 08:47:55 | marplot | 4 | 151207 | 1176 | 12.063 | 12534.8 |
| 474 | 2025-11-04 05:24:53 | marplot | 4 | 151207 | 1176 | 14.346 | 10540.0 |
| 473 | 2025-11-02 23:55:14 | marplot | 4 | 151207 | 1176 | 12.233 | 12360.6 |
| 472 | 2025-11-02 04:24:23 | marplot | 4 | 151207 | 1176 | 18.783 | 8050.2 |
| 471 | 2025-11-01 22:39:37 | marplot | 4 | 151207 | 1176 | 10.516 | 14378.8 |
| 470 | 2025-10-31 19:43:27 | marplot | 4 | 151207 | 1176 | 11.610 | 13023.9 |
| 469 | 2025-10-30 04:32:23 | marplot | 4 | 151207 | 1176 | 12.766 | 11844.5 |
| 468 | 2025-10-27 20:32:28 | marplot | 4 | 151207 | 1176 | 12.516 | 12081.1 |
| 467 | 2025-10-25 17:35:12 | marplot | 4 | 151207 | 1176 | 11.486 | 13164.5 |
| 466 | 2025-10-23 19:07:04 | marplot | 4 | 151207 | 1176 | 50.753 | 2979.3 |
| 465 | 2025-10-21 23:48:38 | marplot | 4 | 151207 | 1176 | 59.546 | 2539.3 |
| 464 | 2025-10-20 07:12:48 | marplot | 4 | 151207 | 1176 | 39.596 | 3818.7 |
| 463 | 2025-10-20 04:11:37 | marplot | 1 | 69583 | 2 | 1.233 | 56433.9 |
| 462 | 2025-10-19 12:22:15 | marplot | 4 | 151207 | 1176 | 63.940 | 2364.8 |
| 461 | 2025-10-19 12:22:25 | marplot | 4 | 151207 | 1176 | 52.580 | 2875.8 |