History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"insights"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 601 | 2025-10-24 19:33:48 | insights | 3 | 146162 | 96 | 7.173 | 20376.7 |
| 600 | 2025-10-24 14:11:40 | insights | 1 | 82945 | 4 | 3.033 | 27347.5 |
| 599 | 2025-10-12 16:06:28 | insights | 1 | 82945 | 4 | 1.390 | 59672.7 |
| 598 | 2025-10-10 07:22:49 | insights | 1 | 82945 | 4 | 1.420 | 58412.0 |
| 597 | 2025-10-07 21:20:02 | insights | 1 | 82945 | 4 | 1.330 | 62364.7 |
| 596 | 2025-09-23 11:50:22 | insights | 4 | 161609 | 500 | 10.670 | 15146.1 |
| 595 | 2025-09-19 21:08:51 | insights | 1 | 82945 | 4 | 1.420 | 58412.0 |
| 594 | 2025-09-18 11:03:59 | insights | 4 | 161609 | 500 | 12.940 | 12489.1 |
| 593 | 2025-09-18 07:40:48 | insights | 2 | 121059 | 12 | 7.080 | 17098.7 |
| 592 | 2025-09-18 07:23:15 | insights | 3 | 146162 | 96 | 13.313 | 10978.9 |
| 591 | 2025-09-16 03:12:57 | insights | 4 | 161609 | 500 | 13.016 | 12416.2 |
| 590 | 2025-09-13 11:49:37 | insights | 3 | 146162 | 96 | 7.783 | 18779.6 |
| 589 | 2025-09-11 09:55:32 | insights | 2 | 121059 | 12 | 3.173 | 38152.9 |
| 588 | 2025-08-26 19:35:10 | insights | 1 | 82945 | 4 | 1.500 | 55296.7 |
| 587 | 2025-08-17 13:45:38 | insights | 1 | 82945 | 4 | 2.936 | 28251.0 |
| 586 | 2025-07-27 03:43:44 | insights | 1 | 82945 | 4 | 6.440 | 12879.7 |
| 585 | 2025-07-26 21:41:44 | insights | 1 | 82945 | 4 | 3.360 | 24686.0 |
| 584 | 2025-07-24 10:10:33 | insights | 1 | 82945 | 4 | 10.453 | 7935.0 |
| 583 | 2025-07-22 08:34:26 | insights | 1 | 82945 | 4 | 5.296 | 15661.8 |
| 582 | 2025-07-21 19:16:09 | insights | 1 | 82945 | 4 | 1.436 | 57761.1 |
| 581 | 2025-07-15 01:27:49 | insights | 1 | 82945 | 4 | 6.953 | 11929.4 |
| 580 | 2025-07-10 19:11:46 | insights | 1 | 82945 | 4 | 7.423 | 11174.1 |
| 579 | 2025-06-28 03:43:42 | insights | 1 | 82945 | 4 | 9.326 | 8894.0 |
| 578 | 2025-06-26 03:27:07 | insights | 1 | 82945 | 4 | 3.390 | 24467.6 |
| 577 | 2025-06-23 03:22:56 | insights | 1 | 82945 | 4 | 1.500 | 55296.7 |
| 576 | 2025-06-13 20:33:41 | insights | 1 | 82945 | 4 | 4.796 | 17294.6 |
| 575 | 2025-06-08 01:22:31 | insights | 2 | 121059 | 12 | 14.393 | 8411.0 |
| 574 | 2025-06-07 13:13:00 | insights | 1 | 82945 | 4 | 6.953 | 11929.4 |
| 573 | 2025-06-07 00:29:00 | insights | 1 | 82945 | 4 | 1.436 | 57761.1 |
| 572 | 2025-06-03 05:21:54 | insights | 1 | 82945 | 4 | 1.486 | 55817.6 |
| 571 | 2025-05-28 13:04:34 | insights | 1 | 82945 | 4 | 2.813 | 29486.3 |
| 570 | 2025-05-26 03:29:58 | insights | 1 | 82945 | 4 | 3.546 | 23391.1 |
| 569 | 2025-05-18 00:58:14 | insights | 3 | 146162 | 96 | 29.796 | 4905.4 |
| 568 | 2025-05-10 16:01:10 | insights | 1 | 82945 | 4 | 6.610 | 12548.4 |
| 567 | 2025-05-09 23:21:52 | insights | 3 | 146162 | 96 | 32.286 | 4527.1 |
| 566 | 2025-05-08 09:58:49 | insights | 1 | 82945 | 4 | 6.826 | 12151.3 |
| 565 | 2025-05-05 12:02:13 | insights | 1 | 82945 | 4 | 3.686 | 22502.7 |
| 564 | 2025-05-04 07:39:26 | insights | 3 | 146162 | 96 | 30.233 | 4834.5 |
| 563 | 2025-05-02 09:20:42 | insights | 4 | 161609 | 500 | 51.160 | 3158.9 |
| 562 | 2025-05-02 08:35:41 | insights | 1 | 82945 | 4 | 7.296 | 11368.6 |
| 561 | 2025-05-01 16:11:10 | insights | 3 | 146162 | 96 | 11.906 | 12276.3 |
| 560 | 2025-05-01 09:38:37 | insights | 3 | 146162 | 96 | 37.126 | 3936.9 |
| 559 | 2025-05-01 06:01:57 | insights | 4 | 161609 | 500 | 12.280 | 13160.3 |
| 558 | 2025-04-29 14:41:56 | insights | 4 | 161609 | 500 | 12.703 | 12722.1 |
| 557 | 2025-04-29 06:01:13 | insights | 2 | 121059 | 12 | 18.346 | 6598.7 |
| 556 | 2025-04-28 19:34:02 | insights | 3 | 146162 | 96 | 7.403 | 19743.6 |
| 555 | 2025-04-27 20:09:55 | insights | 1 | 82945 | 4 | 5.236 | 15841.3 |
| 554 | 2025-04-27 10:07:59 | insights | 3 | 146162 | 96 | 8.406 | 17387.8 |
| 553 | 2025-04-27 06:24:55 | insights | 1 | 82945 | 4 | 1.470 | 56425.2 |
| 552 | 2025-04-23 01:48:01 | insights | 1 | 82945 | 4 | 7.016 | 11822.3 |
| 551 | 2025-04-16 08:43:23 | insights | 3 | 146162 | 96 | 30.766 | 4750.8 |
| 550 | 2025-04-14 16:20:37 | insights | 3 | 146162 | 96 | 33.486 | 4364.9 |
| 549 | 2025-04-14 13:41:04 | insights | 1 | 82945 | 4 | 3.220 | 25759.3 |
| 548 | 2025-04-11 08:19:00 | insights | 3 | 146162 | 96 | 27.483 | 5318.3 |
| 547 | 2025-04-09 11:51:48 | insights | 1 | 82945 | 4 | 3.030 | 27374.6 |
| 546 | 2025-03-29 10:56:12 | insights | 1 | 82945 | 4 | 3.953 | 20982.8 |
| 545 | 2025-03-26 21:10:08 | insights | 1 | 82945 | 4 | 6.670 | 12435.5 |
| 544 | 2025-03-26 09:12:51 | insights | 3 | 146162 | 96 | 39.923 | 3661.1 |
| 543 | 2025-03-25 20:32:39 | insights | 3 | 146162 | 96 | 35.650 | 4099.9 |
| 542 | 2025-03-24 14:06:21 | insights | 3 | 146162 | 96 | 6.640 | 22012.3 |
| 541 | 2025-03-24 02:44:01 | insights | 2 | 121059 | 12 | 17.983 | 6731.9 |
| 540 | 2025-03-24 02:33:09 | insights | 3 | 146162 | 96 | 36.593 | 3994.3 |
| 539 | 2025-03-22 02:59:53 | insights | 1 | 82945 | 4 | 1.486 | 55817.6 |
| 538 | 2025-03-16 14:15:27 | insights | 2 | 121059 | 12 | 9.000 | 13451.0 |
| 537 | 2025-03-12 15:10:55 | insights | 3 | 146162 | 96 | 34.876 | 4190.9 |
| 536 | 2025-03-11 19:58:26 | insights | 4 | 161609 | 500 | 51.533 | 3136.0 |
| 535 | 2025-03-11 19:58:11 | insights | 3 | 146162 | 96 | 37.703 | 3876.7 |
| 534 | 2025-03-11 10:54:01 | insights | 4 | 161609 | 500 | 50.270 | 3214.8 |
| 533 | 2025-03-11 07:17:21 | insights | 4 | 161609 | 500 | 83.660 | 1931.7 |
| 532 | 2025-03-10 09:02:06 | insights | 3 | 146162 | 96 | 21.533 | 6787.8 |
| 531 | 2025-03-10 02:43:05 | insights | 1 | 82945 | 4 | 5.190 | 15981.7 |
| 530 | 2025-03-09 20:32:19 | insights | 3 | 146162 | 96 | 45.173 | 3235.6 |
| 529 | 2025-03-09 20:32:18 | insights | 3 | 146162 | 96 | 45.223 | 3232.0 |
| 528 | 2025-03-09 20:32:30 | insights | 1 | 82945 | 4 | 9.733 | 8522.0 |
| 527 | 2025-03-09 20:32:11 | insights | 2 | 121059 | 12 | 20.863 | 5802.6 |
| 526 | 2025-03-09 17:53:04 | insights | 1 | 82945 | 4 | 6.703 | 12374.3 |
| 525 | 2025-03-09 17:51:45 | insights | 3 | 146162 | 96 | 53.016 | 2756.9 |
| 524 | 2025-03-09 17:51:42 | insights | 2 | 121059 | 12 | 14.813 | 8172.5 |
| 523 | 2025-02-23 05:33:04 | insights | 3 | 146162 | 96 | 32.296 | 4525.7 |
| 522 | 2025-02-07 18:06:57 | insights | 3 | 146162 | 96 | 36.486 | 4006.0 |
| 521 | 2025-02-07 16:04:24 | insights | 4 | 161609 | 500 | 75.503 | 2140.4 |
| 520 | 2025-02-07 14:50:44 | insights | 4 | 161609 | 500 | 13.470 | 11997.7 |
| 519 | 2025-02-07 10:41:11 | insights | 3 | 146162 | 96 | 10.200 | 14329.6 |
| 518 | 2025-02-07 10:41:12 | insights | 1 | 82945 | 4 | 1.890 | 43886.2 |
| 517 | 2025-02-06 17:34:55 | insights | 4 | 161609 | 500 | 32.470 | 4977.2 |
| 516 | 2025-02-06 13:52:55 | insights | 4 | 161609 | 500 | 41.366 | 3906.8 |
| 515 | 2025-02-04 19:55:11 | insights | 1 | 82945 | 4 | 6.563 | 12638.3 |
| 514 | 2025-02-03 21:32:52 | insights | 1 | 82945 | 4 | 3.606 | 23001.9 |
| 513 | 2025-02-03 17:38:14 | insights | 4 | 161609 | 500 | 36.600 | 4415.5 |
| 512 | 2025-01-31 22:18:54 | insights | 2 | 121059 | 12 | 26.673 | 4538.6 |
| 511 | 2025-01-28 18:46:09 | insights | 2 | 121059 | 12 | 3.843 | 31501.2 |
| 510 | 2025-01-25 00:23:25 | insights | 1 | 82945 | 4 | 6.656 | 12461.7 |
| 509 | 2025-01-07 19:57:01 | insights | 4 | 161609 | 500 | 45.440 | 3556.5 |
| 508 | 2025-01-07 13:05:09 | insights | 4 | 161609 | 500 | 62.736 | 2576.0 |
| 507 | 2025-01-07 04:49:01 | insights | 4 | 161609 | 500 | 58.540 | 2760.7 |
| 506 | 2025-01-06 17:54:03 | insights | 3 | 146162 | 96 | 18.686 | 7822.0 |
| 505 | 2025-01-04 14:29:24 | insights | 3 | 146162 | 96 | 47.563 | 3073.0 |
| 504 | 2025-01-03 21:15:19 | insights | 3 | 146162 | 96 | 37.330 | 3915.4 |
| 503 | 2025-01-02 17:03:06 | insights | 3 | 146162 | 96 | 34.016 | 4296.9 |
| 502 | 2025-01-01 21:30:59 | insights | 3 | 146162 | 96 | 28.300 | 5164.7 |