History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coronaries"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 527 | 2026-04-09 12:39:29 | coronaries | 1 | 67641 | 1 | 2.516 | 26884.3 |
| 526 | 2026-04-06 19:30:13 | coronaries | 3 | 140603 | 46 | 27.190 | 5171.1 |
| 525 | 2026-04-05 07:36:21 | coronaries | 4 | 161450 | 326 | 34.046 | 4742.1 |
| 524 | 2026-04-01 12:25:37 | coronaries | 3 | 140603 | 46 | 27.033 | 5201.2 |
| 523 | 2026-04-01 11:14:13 | coronaries | 4 | 161450 | 326 | 50.716 | 3183.4 |
| 522 | 2026-03-30 04:43:32 | coronaries | 1 | 67641 | 1 | 4.403 | 15362.5 |
| 521 | 2026-03-24 19:43:55 | coronaries | 4 | 161450 | 326 | 32.346 | 4991.3 |
| 520 | 2026-03-22 16:44:11 | coronaries | 4 | 161450 | 326 | 41.923 | 3851.1 |
| 519 | 2026-03-22 14:26:21 | coronaries | 4 | 161450 | 326 | 50.956 | 3168.4 |
| 518 | 2026-03-22 10:47:40 | coronaries | 1 | 67641 | 1 | 2.720 | 24868.0 |
| 517 | 2026-03-20 20:18:57 | coronaries | 1 | 67641 | 1 | 3.016 | 22427.4 |
| 516 | 2026-03-20 20:18:17 | coronaries | 1 | 67641 | 1 | 5.390 | 12549.4 |
| 515 | 2026-03-19 08:26:11 | coronaries | 4 | 161450 | 326 | 52.330 | 3085.2 |
| 514 | 2026-03-19 08:25:50 | coronaries | 4 | 161450 | 326 | 49.376 | 3269.8 |
| 513 | 2026-03-18 05:08:08 | coronaries | 1 | 67641 | 1 | 6.173 | 10957.6 |
| 512 | 2026-03-18 03:52:58 | coronaries | 1 | 67641 | 1 | 8.126 | 8324.0 |
| 511 | 2026-03-15 15:31:49 | coronaries | 4 | 161450 | 326 | 63.473 | 2543.6 |
| 510 | 2026-03-15 15:31:07 | coronaries | 4 | 161450 | 326 | 61.223 | 2637.1 |
| 509 | 2026-03-14 08:43:40 | coronaries | 1 | 67641 | 1 | 5.453 | 12404.4 |
| 508 | 2026-03-11 16:38:31 | coronaries | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 507 | 2026-02-18 01:56:32 | coronaries | 2 | 108824 | 5 | 3.220 | 33796.3 |
| 506 | 2026-02-15 22:08:21 | coronaries | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 505 | 2026-02-14 15:13:40 | coronaries | 1 | 67641 | 1 | 2.403 | 28148.6 |
| 504 | 2026-02-13 06:40:29 | coronaries | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 503 | 2026-02-12 05:45:06 | coronaries | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 502 | 2026-02-12 03:11:53 | coronaries | 1 | 67641 | 1 | 2.453 | 27574.8 |
| 501 | 2026-02-11 09:00:41 | coronaries | 1 | 67641 | 1 | 1.263 | 53555.8 |
| 500 | 2026-02-09 01:33:05 | coronaries | 1 | 67641 | 1 | 2.200 | 30745.9 |
| 499 | 2026-02-04 08:41:09 | coronaries | 4 | 161450 | 326 | 12.486 | 12930.5 |
| 498 | 2026-02-02 16:56:38 | coronaries | 4 | 161450 | 326 | 12.643 | 12769.9 |
| 497 | 2026-01-25 10:46:54 | coronaries | 1 | 67641 | 1 | 1.606 | 42117.7 |
| 496 | 2026-01-21 05:18:40 | coronaries | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 495 | 2026-01-11 07:11:23 | coronaries | 1 | 67641 | 1 | 2.500 | 27056.4 |
| 494 | 2026-01-11 07:10:09 | coronaries | 1 | 67641 | 1 | 1.266 | 53428.9 |
| 493 | 2025-12-27 06:59:12 | coronaries | 1 | 67641 | 1 | 1.126 | 60071.9 |
| 492 | 2025-12-14 23:41:04 | coronaries | 1 | 67641 | 1 | 1.236 | 54725.7 |
| 491 | 2025-12-04 06:21:19 | coronaries | 3 | 140603 | 46 | 6.623 | 21229.5 |
| 490 | 2025-11-02 01:23:34 | coronaries | 3 | 140603 | 46 | 5.780 | 24325.8 |
| 489 | 2025-10-29 08:40:23 | coronaries | 4 | 161450 | 326 | 11.030 | 14637.4 |
| 488 | 2025-10-28 20:36:31 | coronaries | 4 | 161450 | 326 | 12.156 | 13281.5 |
| 487 | 2025-10-25 12:18:40 | coronaries | 4 | 161450 | 326 | 15.126 | 10673.7 |
| 486 | 2025-10-18 13:09:02 | coronaries | 4 | 161450 | 326 | 10.500 | 15376.2 |
| 485 | 2025-10-16 21:51:53 | coronaries | 4 | 161450 | 326 | 12.156 | 13281.5 |
| 484 | 2025-10-12 01:09:03 | coronaries | 4 | 161450 | 326 | 11.406 | 14154.8 |
| 483 | 2025-10-10 01:11:18 | coronaries | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 482 | 2025-10-06 01:56:39 | coronaries | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 481 | 2025-10-02 04:55:35 | coronaries | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 480 | 2025-09-28 06:56:21 | coronaries | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 479 | 2025-09-18 01:32:11 | coronaries | 4 | 161450 | 326 | 10.920 | 14784.8 |
| 478 | 2025-09-06 22:16:42 | coronaries | 4 | 161450 | 326 | 14.360 | 11243.0 |
| 477 | 2025-09-02 06:32:44 | coronaries | 4 | 161450 | 326 | 11.420 | 14137.5 |
| 476 | 2025-08-25 16:36:49 | coronaries | 4 | 161450 | 326 | 39.270 | 4111.3 |
| 475 | 2025-08-25 11:19:49 | coronaries | 4 | 161450 | 326 | 49.940 | 3232.9 |
| 474 | 2025-08-23 09:30:00 | coronaries | 4 | 161450 | 326 | 63.270 | 2551.8 |
| 473 | 2025-08-21 05:53:02 | coronaries | 4 | 161450 | 326 | 26.580 | 6074.1 |
| 472 | 2025-08-19 16:16:31 | coronaries | 2 | 108824 | 5 | 14.720 | 7392.9 |
| 471 | 2025-08-19 08:18:53 | coronaries | 4 | 161450 | 326 | 52.690 | 3064.1 |
| 470 | 2025-08-19 00:08:18 | coronaries | 3 | 140603 | 46 | 20.796 | 6761.1 |
| 469 | 2025-08-18 15:36:55 | coronaries | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 468 | 2025-08-17 03:20:58 | coronaries | 2 | 108824 | 5 | 7.750 | 14041.8 |
| 467 | 2025-08-16 19:56:42 | coronaries | 3 | 140603 | 46 | 38.740 | 3629.4 |
| 466 | 2025-08-16 02:34:39 | coronaries | 1 | 67641 | 1 | 1.216 | 55625.8 |
| 465 | 2025-07-31 15:56:30 | coronaries | 1 | 67641 | 1 | 8.280 | 8169.2 |
| 464 | 2025-07-27 07:32:06 | coronaries | 1 | 67641 | 1 | 2.436 | 27767.2 |
| 463 | 2025-07-27 06:04:12 | coronaries | 1 | 67641 | 1 | 5.703 | 11860.6 |
| 462 | 2025-07-22 12:53:44 | coronaries | 1 | 67641 | 1 | 3.063 | 22083.3 |
| 461 | 2025-07-12 22:41:12 | coronaries | 1 | 67641 | 1 | 1.280 | 52844.5 |
| 460 | 2025-07-02 06:49:41 | coronaries | 3 | 140603 | 46 | 36.440 | 3858.5 |
| 459 | 2025-06-30 15:38:58 | coronaries | 1 | 67641 | 1 | 5.986 | 11299.9 |
| 458 | 2025-06-28 02:59:41 | coronaries | 3 | 140603 | 46 | 34.940 | 4024.1 |
| 457 | 2025-06-26 05:20:58 | coronaries | 1 | 67641 | 1 | 7.283 | 9287.5 |
| 456 | 2025-06-18 00:10:24 | coronaries | 3 | 140603 | 46 | 34.486 | 4077.1 |
| 455 | 2025-06-17 20:17:30 | coronaries | 3 | 140603 | 46 | 20.843 | 6745.8 |
| 454 | 2025-06-17 01:34:16 | coronaries | 3 | 140603 | 46 | 26.343 | 5337.4 |
| 453 | 2025-06-16 23:44:53 | coronaries | 3 | 140603 | 46 | 48.800 | 2881.2 |
| 452 | 2025-06-16 00:51:26 | coronaries | 1 | 67641 | 1 | 7.033 | 9617.7 |
| 451 | 2025-06-13 23:35:44 | coronaries | 1 | 67641 | 1 | 4.360 | 15514.0 |
| 450 | 2025-06-12 01:41:43 | coronaries | 1 | 67641 | 1 | 2.890 | 23405.2 |
| 449 | 2025-06-09 23:50:55 | coronaries | 1 | 67641 | 1 | 5.826 | 11610.2 |
| 448 | 2025-06-08 01:54:51 | coronaries | 1 | 67641 | 1 | 4.186 | 16158.9 |
| 447 | 2025-05-27 21:43:13 | coronaries | 1 | 67641 | 1 | 1.096 | 61716.2 |
| 446 | 2025-05-20 05:17:09 | coronaries | 3 | 140603 | 46 | 34.423 | 4084.6 |
| 445 | 2025-05-16 05:38:06 | coronaries | 1 | 67641 | 1 | 6.420 | 10536.0 |
| 444 | 2025-05-08 15:09:36 | coronaries | 1 | 67641 | 1 | 3.466 | 19515.6 |
| 443 | 2025-05-05 02:14:17 | coronaries | 1 | 67641 | 1 | 4.593 | 14727.0 |
| 442 | 2025-05-04 01:31:44 | coronaries | 1 | 67641 | 1 | 2.656 | 25467.2 |
| 441 | 2025-05-04 00:57:38 | coronaries | 2 | 108824 | 5 | 17.643 | 6168.1 |
| 440 | 2025-05-03 23:39:46 | coronaries | 3 | 140603 | 46 | 35.860 | 3920.9 |
| 439 | 2025-05-02 23:25:51 | coronaries | 3 | 140603 | 46 | 58.830 | 2390.0 |
| 438 | 2025-05-02 14:23:13 | coronaries | 1 | 67641 | 1 | 6.703 | 10091.2 |
| 437 | 2025-04-26 15:04:33 | coronaries | 3 | 140603 | 46 | 19.673 | 7147.0 |
| 436 | 2025-04-26 04:54:17 | coronaries | 2 | 108824 | 5 | 12.453 | 8738.8 |
| 435 | 2025-04-26 04:04:08 | coronaries | 2 | 108824 | 5 | 16.670 | 6528.1 |
| 434 | 2025-04-25 20:12:52 | coronaries | 3 | 140603 | 46 | 26.706 | 5264.8 |
| 433 | 2025-04-24 23:39:44 | coronaries | 1 | 67641 | 1 | 1.236 | 54725.7 |
| 432 | 2025-04-24 22:38:56 | coronaries | 1 | 67641 | 1 | 1.390 | 48662.6 |
| 431 | 2025-03-31 17:00:37 | coronaries | 1 | 67641 | 1 | 4.610 | 14672.7 |
| 430 | 2025-03-26 06:08:27 | coronaries | 1 | 67641 | 1 | 3.360 | 20131.3 |
| 429 | 2025-03-07 12:11:57 | coronaries | 1 | 67641 | 1 | 3.626 | 18654.4 |
| 428 | 2025-03-05 12:31:51 | coronaries | 1 | 67641 | 1 | 4.576 | 14781.7 |