History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"pronenesses"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 620 | 2025-10-24 14:37:53 | pronenesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 619 | 2025-10-21 07:55:42 | pronenesses | 1 | 49908 | 1 | 2.030 | 24585.2 |
| 618 | 2025-10-21 07:55:35 | pronenesses | 1 | 49908 | 1 | 5.953 | 8383.7 |
| 617 | 2025-10-21 07:55:26 | pronenesses | 1 | 49908 | 1 | 4.546 | 10978.4 |
| 616 | 2025-10-21 07:55:16 | pronenesses | 1 | 49908 | 1 | 2.280 | 21889.5 |
| 615 | 2025-10-01 13:03:16 | pronenesses | 1 | 49908 | 1 | 0.813 | 61387.5 |
| 614 | 2025-09-20 12:12:52 | pronenesses | 4 | 148819 | 464 | 8.753 | 17002.1 |
| 613 | 2025-09-20 03:22:42 | pronenesses | 1 | 49908 | 1 | 1.580 | 31587.3 |
| 612 | 2025-08-23 08:49:46 | pronenesses | 1 | 49908 | 1 | 2.110 | 23653.1 |
| 611 | 2025-08-15 15:43:02 | pronenesses | 2 | 86808 | 16 | 10.560 | 8220.5 |
| 610 | 2025-08-14 16:21:58 | pronenesses | 3 | 121633 | 92 | 5.220 | 23301.3 |
| 609 | 2025-08-14 01:06:37 | pronenesses | 1 | 49908 | 1 | 0.906 | 55086.1 |
| 608 | 2025-08-13 11:53:41 | pronenesses | 4 | 148819 | 464 | 71.986 | 2067.3 |
| 607 | 2025-08-11 13:38:25 | pronenesses | 1 | 49908 | 1 | 1.610 | 30998.8 |
| 606 | 2025-08-10 11:16:05 | pronenesses | 3 | 121633 | 92 | 12.983 | 9368.6 |
| 605 | 2025-08-10 00:40:08 | pronenesses | 2 | 86808 | 16 | 6.326 | 13722.4 |
| 604 | 2025-08-09 23:08:12 | pronenesses | 4 | 148819 | 464 | 26.643 | 5585.7 |
| 603 | 2025-08-04 07:51:29 | pronenesses | 1 | 49908 | 1 | 0.890 | 56076.4 |
| 602 | 2025-08-01 00:34:40 | pronenesses | 1 | 49908 | 1 | 4.250 | 11743.1 |
| 601 | 2025-07-31 15:08:27 | pronenesses | 1 | 49908 | 1 | 3.080 | 16203.9 |
| 600 | 2025-07-31 02:03:42 | pronenesses | 1 | 49908 | 1 | 4.390 | 11368.6 |
| 599 | 2025-07-30 22:34:47 | pronenesses | 1 | 49908 | 1 | 2.013 | 24792.8 |
| 598 | 2025-07-25 02:45:05 | pronenesses | 1 | 49908 | 1 | 4.546 | 10978.4 |
| 597 | 2025-07-17 18:45:22 | pronenesses | 1 | 49908 | 1 | 2.076 | 24040.5 |
| 596 | 2025-07-05 00:30:26 | pronenesses | 2 | 86808 | 16 | 11.860 | 7319.4 |
| 595 | 2025-07-03 14:19:40 | pronenesses | 2 | 86808 | 16 | 2.376 | 36535.4 |
| 594 | 2025-06-30 00:57:27 | pronenesses | 1 | 49908 | 1 | 5.860 | 8516.7 |
| 593 | 2025-06-13 23:40:31 | pronenesses | 1 | 49908 | 1 | 3.296 | 15142.0 |
| 592 | 2025-06-13 20:56:29 | pronenesses | 1 | 49908 | 1 | 6.563 | 7604.4 |
| 591 | 2025-06-13 11:24:44 | pronenesses | 1 | 49908 | 1 | 0.876 | 56972.6 |
| 590 | 2025-06-12 12:25:10 | pronenesses | 1 | 49908 | 1 | 4.373 | 11412.8 |
| 589 | 2025-06-11 03:50:34 | pronenesses | 2 | 86808 | 16 | 2.346 | 37002.6 |
| 588 | 2025-06-05 21:52:09 | pronenesses | 1 | 49908 | 1 | 4.033 | 12374.9 |
| 587 | 2025-05-29 14:08:28 | pronenesses | 1 | 49908 | 1 | 3.923 | 12721.9 |
| 586 | 2025-05-29 04:51:13 | pronenesses | 1 | 49908 | 1 | 4.003 | 12467.6 |
| 585 | 2025-05-26 01:59:47 | pronenesses | 1 | 49908 | 1 | 1.750 | 28518.9 |
| 584 | 2025-05-25 23:42:04 | pronenesses | 1 | 49908 | 1 | 4.170 | 11968.3 |
| 583 | 2025-05-25 23:24:49 | pronenesses | 1 | 49908 | 1 | 5.846 | 8537.1 |
| 582 | 2025-05-24 15:19:22 | pronenesses | 1 | 49908 | 1 | 4.393 | 11360.8 |
| 581 | 2025-05-22 14:40:21 | pronenesses | 1 | 49908 | 1 | 4.046 | 12335.1 |
| 580 | 2025-05-14 22:38:15 | pronenesses | 4 | 148819 | 464 | 10.343 | 14388.4 |
| 579 | 2025-05-14 13:12:32 | pronenesses | 4 | 148819 | 464 | 36.783 | 4045.9 |
| 578 | 2025-05-13 00:23:13 | pronenesses | 4 | 148819 | 464 | 34.640 | 4296.2 |
| 577 | 2025-05-06 15:13:53 | pronenesses | 4 | 148819 | 464 | 59.223 | 2512.9 |
| 576 | 2025-05-05 15:51:05 | pronenesses | 1 | 49908 | 1 | 1.720 | 29016.3 |
| 575 | 2025-05-05 07:24:51 | pronenesses | 1 | 49908 | 1 | 2.216 | 22521.7 |
| 574 | 2025-05-03 21:53:36 | pronenesses | 1 | 49908 | 1 | 2.170 | 22999.1 |
| 573 | 2025-04-29 06:14:08 | pronenesses | 4 | 148819 | 464 | 50.096 | 2970.7 |
| 572 | 2025-04-29 04:39:09 | pronenesses | 1 | 49908 | 1 | 0.920 | 54247.8 |
| 571 | 2025-04-26 19:23:50 | pronenesses | 4 | 148819 | 464 | 78.426 | 1897.6 |
| 570 | 2025-04-26 00:22:54 | pronenesses | 1 | 49908 | 1 | 4.440 | 11240.5 |
| 569 | 2025-04-25 22:23:13 | pronenesses | 1 | 49908 | 1 | 5.003 | 9975.6 |
| 568 | 2025-04-23 01:55:08 | pronenesses | 1 | 49908 | 1 | 1.610 | 30998.8 |
| 567 | 2025-04-22 21:17:50 | pronenesses | 4 | 148819 | 464 | 46.630 | 3191.5 |
| 566 | 2025-04-22 04:29:37 | pronenesses | 4 | 148819 | 464 | 31.126 | 4781.2 |
| 565 | 2025-04-21 15:13:31 | pronenesses | 4 | 148819 | 464 | 49.360 | 3015.0 |
| 564 | 2025-04-20 12:57:29 | pronenesses | 1 | 49908 | 1 | 1.423 | 35072.4 |
| 563 | 2025-04-16 13:28:45 | pronenesses | 1 | 49908 | 1 | 4.266 | 11699.0 |
| 562 | 2025-04-02 00:48:07 | pronenesses | 4 | 148819 | 464 | 49.360 | 3015.0 |
| 561 | 2025-04-01 22:23:14 | pronenesses | 1 | 49908 | 1 | 4.360 | 11446.8 |
| 560 | 2025-03-30 08:27:53 | pronenesses | 4 | 148819 | 464 | 9.593 | 15513.3 |
| 559 | 2025-03-26 07:00:05 | pronenesses | 4 | 148819 | 464 | 9.486 | 15688.3 |
| 558 | 2025-03-26 02:31:36 | pronenesses | 2 | 86808 | 16 | 12.093 | 7178.4 |
| 557 | 2025-03-25 08:19:40 | pronenesses | 2 | 86808 | 16 | 7.296 | 11898.0 |
| 556 | 2025-03-24 22:52:33 | pronenesses | 1 | 49908 | 1 | 1.953 | 25554.5 |
| 555 | 2025-03-24 20:30:06 | pronenesses | 3 | 121633 | 92 | 4.920 | 24722.2 |
| 554 | 2025-03-24 01:15:28 | pronenesses | 1 | 49908 | 1 | 4.390 | 11368.6 |
| 553 | 2025-03-23 02:54:06 | pronenesses | 1 | 49908 | 1 | 3.093 | 16135.8 |
| 552 | 2025-03-23 02:22:14 | pronenesses | 3 | 121633 | 92 | 20.940 | 5808.6 |
| 551 | 2025-03-22 12:26:35 | pronenesses | 3 | 121633 | 92 | 27.940 | 4353.4 |
| 550 | 2025-03-22 08:32:07 | pronenesses | 4 | 148819 | 464 | 54.970 | 2707.3 |
| 549 | 2025-03-21 21:55:00 | pronenesses | 4 | 148819 | 464 | 11.563 | 12870.3 |
| 548 | 2025-03-20 18:04:38 | pronenesses | 4 | 148819 | 464 | 32.733 | 4546.5 |
| 547 | 2025-03-20 05:49:42 | pronenesses | 3 | 121633 | 92 | 17.156 | 7089.8 |
| 546 | 2025-03-20 03:06:51 | pronenesses | 2 | 86808 | 16 | 9.110 | 9528.9 |
| 545 | 2025-03-19 15:40:04 | pronenesses | 1 | 49908 | 1 | 0.763 | 65410.2 |
| 544 | 2025-03-17 03:04:42 | pronenesses | 1 | 49908 | 1 | 3.813 | 13088.9 |
| 543 | 2025-03-02 14:58:53 | pronenesses | 4 | 148819 | 464 | 49.736 | 2992.2 |
| 542 | 2025-02-17 20:36:34 | pronenesses | 4 | 148819 | 464 | 51.096 | 2912.5 |
| 541 | 2025-02-16 22:46:27 | pronenesses | 4 | 148819 | 464 | 46.236 | 3218.7 |
| 540 | 2025-02-16 11:45:48 | pronenesses | 4 | 148819 | 464 | 50.000 | 2976.4 |
| 539 | 2025-02-15 04:13:31 | pronenesses | 4 | 148819 | 464 | 51.036 | 2916.0 |
| 538 | 2025-02-14 16:52:29 | pronenesses | 1 | 49908 | 1 | 4.220 | 11826.5 |
| 537 | 2025-02-10 23:41:44 | pronenesses | 2 | 86808 | 16 | 9.390 | 9244.7 |
| 536 | 2025-02-10 23:41:30 | pronenesses | 1 | 49908 | 1 | 2.986 | 16714.0 |
| 535 | 2025-02-10 13:35:29 | pronenesses | 4 | 148819 | 464 | 30.050 | 4952.4 |
| 534 | 2025-02-02 20:31:40 | pronenesses | 3 | 121633 | 92 | 27.316 | 4452.8 |
| 533 | 2025-02-01 23:03:44 | pronenesses | 3 | 121633 | 92 | 33.436 | 3637.8 |
| 532 | 2025-02-01 17:21:36 | pronenesses | 3 | 121633 | 92 | 30.143 | 4035.2 |
| 531 | 2025-01-30 11:01:52 | pronenesses | 3 | 121633 | 92 | 27.276 | 4459.3 |
| 530 | 2025-01-30 11:01:54 | pronenesses | 2 | 86808 | 16 | 7.936 | 10938.5 |
| 529 | 2025-01-30 10:59:28 | pronenesses | 1 | 49908 | 1 | 4.293 | 11625.4 |
| 528 | 2025-01-26 05:38:19 | pronenesses | 4 | 148819 | 464 | 56.953 | 2613.0 |
| 527 | 2025-01-17 21:59:38 | pronenesses | 4 | 148819 | 464 | 50.403 | 2952.6 |
| 526 | 2025-01-17 19:43:00 | pronenesses | 2 | 86808 | 16 | 6.516 | 13322.3 |
| 525 | 2025-01-17 19:38:07 | pronenesses | 1 | 49908 | 1 | 4.156 | 12008.7 |
| 524 | 2025-01-17 16:34:50 | pronenesses | 4 | 148819 | 464 | 53.456 | 2784.0 |
| 523 | 2025-01-17 08:58:16 | pronenesses | 4 | 148819 | 464 | 47.180 | 3154.3 |
| 522 | 2025-01-14 00:11:16 | pronenesses | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 521 | 2025-01-03 20:54:26 | pronenesses | 4 | 148819 | 464 | 86.226 | 1725.9 |