History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"python"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 534 | 2026-01-11 00:25:11 | python | 1 | 48755 | 2 | 0.796 | 61250.0 |
| 533 | 2026-01-10 17:06:42 | python | 1 | 48755 | 2 | 1.076 | 45311.3 |
| 532 | 2026-01-10 15:22:17 | python | 2 | 82551 | 17 | 2.360 | 34979.2 |
| 531 | 2026-01-10 13:49:16 | python | 2 | 82551 | 17 | 2.080 | 39688.0 |
| 530 | 2026-01-10 12:51:28 | python | 2 | 82551 | 17 | 2.470 | 33421.5 |
| 529 | 2026-01-10 03:15:50 | python | 3 | 112716 | 191 | 9.216 | 12230.5 |
| 528 | 2026-01-10 01:36:48 | python | 2 | 82551 | 17 | 2.513 | 32849.6 |
| 527 | 2026-01-09 21:29:15 | python | 3 | 112716 | 191 | 4.843 | 23274.0 |
| 526 | 2026-01-09 20:44:40 | python | 3 | 112716 | 191 | 4.983 | 22620.1 |
| 525 | 2026-01-09 20:38:40 | python | 3 | 112716 | 191 | 5.263 | 21416.7 |
| 524 | 2026-01-09 19:08:36 | python | 1 | 48755 | 2 | 0.796 | 61250.0 |
| 523 | 2026-01-09 18:27:57 | python | 3 | 112716 | 191 | 5.390 | 20912.1 |
| 522 | 2026-01-09 18:19:49 | python | 3 | 112716 | 191 | 12.110 | 9307.7 |
| 521 | 2026-01-09 17:59:41 | python | 3 | 112716 | 191 | 4.843 | 23274.0 |
| 520 | 2026-01-09 07:28:13 | python | 1 | 48755 | 2 | 0.830 | 58741.0 |
| 519 | 2026-01-09 05:00:35 | python | 2 | 82551 | 17 | 2.093 | 39441.5 |
| 518 | 2026-01-09 02:02:23 | python | 2 | 82551 | 17 | 2.373 | 34787.6 |
| 517 | 2026-01-09 02:01:30 | python | 2 | 82551 | 17 | 6.796 | 12147.0 |
| 516 | 2026-01-09 02:01:19 | python | 3 | 112716 | 191 | 7.470 | 15089.2 |
| 515 | 2026-01-08 16:15:07 | python | 2 | 82551 | 17 | 2.703 | 30540.5 |
| 514 | 2026-01-08 03:56:47 | python | 1 | 48755 | 2 | 1.656 | 29441.4 |
| 513 | 2026-01-07 22:10:51 | python | 1 | 48755 | 2 | 1.953 | 24964.2 |
| 512 | 2026-01-07 16:16:38 | python | 2 | 82551 | 17 | 2.393 | 34496.9 |
| 511 | 2026-01-07 10:53:09 | python | 1 | 48755 | 2 | 0.810 | 60191.4 |
| 510 | 2026-01-06 18:15:40 | python | 2 | 82551 | 17 | 2.330 | 35429.6 |
| 509 | 2026-01-06 04:36:24 | python | 1 | 48755 | 2 | 0.860 | 56691.9 |
| 508 | 2026-01-04 00:07:25 | python | 1 | 48755 | 2 | 1.330 | 36657.9 |
| 507 | 2026-01-04 00:06:55 | python | 1 | 48755 | 2 | 0.860 | 56691.9 |
| 506 | 2026-01-03 05:56:29 | python | 2 | 82551 | 17 | 2.606 | 31677.3 |
| 505 | 2025-12-29 01:45:31 | python | 1 | 48755 | 2 | 0.826 | 59025.4 |
| 504 | 2025-12-24 13:20:26 | python | 1 | 48755 | 2 | 0.843 | 57835.1 |
| 503 | 2025-12-24 09:58:00 | python | 1 | 48755 | 2 | 0.860 | 56691.9 |
| 502 | 2025-12-24 05:51:57 | python | 1 | 48755 | 2 | 0.846 | 57630.0 |
| 501 | 2025-12-23 21:49:26 | python | 1 | 48755 | 2 | 0.843 | 57835.1 |
| 500 | 2025-12-22 14:58:40 | python | 1 | 48755 | 2 | 0.923 | 52822.3 |
| 499 | 2025-12-16 23:01:04 | python | 1 | 48755 | 2 | 0.986 | 49447.3 |
| 498 | 2025-12-15 02:29:24 | python | 1 | 48755 | 2 | 0.876 | 55656.4 |
| 497 | 2025-12-06 15:51:44 | python | 1 | 48755 | 2 | 0.843 | 57835.1 |
| 496 | 2025-12-06 12:22:31 | python | 1 | 48755 | 2 | 1.686 | 28917.6 |
| 495 | 2025-12-04 11:34:44 | python | 1 | 48755 | 2 | 0.780 | 62506.4 |
| 494 | 2025-12-04 11:33:18 | python | 1 | 48755 | 2 | 0.843 | 57835.1 |
| 493 | 2025-11-30 17:18:02 | python | 3 | 112716 | 191 | 5.376 | 20966.5 |
| 492 | 2025-11-24 07:15:48 | python | 3 | 112716 | 191 | 7.060 | 15965.4 |
| 491 | 2025-11-21 20:13:51 | python | 3 | 112716 | 191 | 15.500 | 7272.0 |
| 490 | 2025-11-21 15:50:15 | python | 1 | 48755 | 2 | 0.893 | 54596.9 |
| 489 | 2025-11-17 07:21:55 | python | 1 | 48755 | 2 | 0.750 | 65006.7 |
| 488 | 2025-11-13 12:58:05 | python | 3 | 112716 | 191 | 10.983 | 10262.8 |
| 487 | 2025-11-11 18:01:21 | python | 2 | 82551 | 17 | 2.096 | 39385.0 |
| 486 | 2025-11-09 22:57:50 | python | 2 | 82551 | 17 | 2.376 | 34743.7 |
| 485 | 2025-11-09 16:03:43 | python | 2 | 82551 | 17 | 2.063 | 40015.0 |
| 484 | 2025-11-09 15:40:58 | python | 3 | 112716 | 191 | 5.360 | 21029.1 |
| 483 | 2025-11-09 00:31:49 | python | 2 | 82551 | 17 | 2.376 | 34743.7 |
| 482 | 2025-11-07 09:46:11 | python | 2 | 82551 | 17 | 2.313 | 35690.0 |
| 481 | 2025-11-07 05:05:25 | python | 2 | 82551 | 17 | 4.936 | 16724.3 |
| 480 | 2025-11-06 13:39:38 | python | 3 | 112716 | 191 | 5.720 | 19705.6 |
| 479 | 2025-11-06 10:56:47 | python | 1 | 48755 | 2 | 0.750 | 65006.7 |
| 478 | 2025-11-01 00:28:19 | python | 1 | 48755 | 2 | 1.703 | 28628.9 |
| 477 | 2025-10-23 01:58:59 | python | 3 | 112716 | 191 | 19.753 | 5706.3 |
| 476 | 2025-10-14 14:55:07 | python | 1 | 48755 | 2 | 0.750 | 65006.7 |
| 475 | 2025-10-03 21:09:12 | python | 3 | 112716 | 191 | 5.423 | 20784.8 |
| 474 | 2025-10-03 15:27:15 | python | 3 | 112716 | 191 | 4.716 | 23900.8 |
| 473 | 2025-10-03 12:39:34 | python | 1 | 48755 | 2 | 0.763 | 63899.1 |
| 472 | 2025-09-18 03:12:21 | python | 3 | 112716 | 191 | 6.453 | 17467.2 |
| 471 | 2025-09-17 07:21:47 | python | 2 | 82551 | 17 | 2.593 | 31836.1 |
| 470 | 2025-09-15 03:40:38 | python | 3 | 112716 | 191 | 5.110 | 22057.9 |
| 469 | 2025-09-14 08:20:28 | python | 2 | 82551 | 17 | 2.203 | 37472.1 |
| 468 | 2025-09-14 06:39:39 | python | 1 | 48755 | 2 | 0.860 | 56691.9 |
| 467 | 2025-09-04 00:22:35 | python | 1 | 48755 | 2 | 0.876 | 55656.4 |
| 466 | 2025-08-25 14:58:44 | python | 1 | 48755 | 2 | 3.843 | 12686.7 |
| 465 | 2025-08-25 08:18:29 | python | 1 | 48755 | 2 | 3.843 | 12686.7 |
| 464 | 2025-08-19 20:17:08 | python | 1 | 48755 | 2 | 0.813 | 59969.2 |
| 463 | 2025-08-14 13:01:13 | python | 1 | 48755 | 2 | 0.800 | 60943.8 |
| 462 | 2025-08-14 10:13:56 | python | 2 | 82551 | 17 | 2.343 | 35233.0 |
| 461 | 2025-08-14 08:17:07 | python | 1 | 48755 | 2 | 0.780 | 62506.4 |
| 460 | 2025-08-14 03:18:55 | python | 3 | 112716 | 191 | 4.563 | 24702.2 |
| 459 | 2025-08-14 00:21:44 | python | 3 | 112716 | 191 | 5.843 | 19290.8 |
| 458 | 2025-08-13 18:53:17 | python | 3 | 112716 | 191 | 12.656 | 8906.1 |
| 457 | 2025-08-12 09:43:01 | python | 1 | 48755 | 2 | 2.220 | 21961.7 |
| 456 | 2025-08-10 05:22:04 | python | 1 | 48755 | 2 | 1.813 | 26891.9 |
| 455 | 2025-08-08 18:03:13 | python | 1 | 48755 | 2 | 0.796 | 61250.0 |
| 454 | 2025-08-05 05:24:47 | python | 3 | 112716 | 191 | 19.610 | 5747.9 |
| 453 | 2025-08-05 02:10:07 | python | 1 | 48755 | 2 | 1.750 | 27860.0 |
| 452 | 2025-08-05 01:29:30 | python | 3 | 112716 | 191 | 15.220 | 7405.8 |
| 451 | 2025-08-04 23:50:19 | python | 1 | 48755 | 2 | 1.813 | 26891.9 |
| 450 | 2025-08-04 01:59:01 | python | 3 | 112716 | 191 | 22.220 | 5072.7 |
| 449 | 2025-08-02 15:47:32 | python | 2 | 82551 | 17 | 8.530 | 9677.7 |
| 448 | 2025-08-02 15:43:50 | python | 3 | 112716 | 191 | 17.970 | 6272.5 |
| 447 | 2025-08-01 06:47:09 | python | 1 | 48755 | 2 | 2.220 | 21961.7 |
| 446 | 2025-07-31 12:46:01 | python | 1 | 48755 | 2 | 1.966 | 24799.1 |
| 445 | 2025-07-24 20:37:21 | python | 1 | 48755 | 2 | 3.250 | 15001.5 |
| 444 | 2025-07-24 10:21:25 | python | 3 | 112716 | 191 | 36.160 | 3117.1 |
| 443 | 2025-07-23 16:45:55 | python | 1 | 48755 | 2 | 2.236 | 21804.6 |
| 442 | 2025-07-23 03:15:30 | python | 1 | 48755 | 2 | 1.813 | 26891.9 |
| 441 | 2025-07-22 15:21:05 | python | 1 | 48755 | 2 | 1.923 | 25353.6 |
| 440 | 2025-07-20 02:09:26 | python | 3 | 112716 | 191 | 5.360 | 21029.1 |
| 439 | 2025-07-13 18:23:07 | python | 2 | 82551 | 17 | 2.050 | 40268.8 |
| 438 | 2025-07-13 15:47:02 | python | 3 | 112716 | 191 | 5.516 | 20434.4 |
| 437 | 2025-07-13 12:43:26 | python | 3 | 112716 | 191 | 10.156 | 11098.5 |
| 436 | 2025-07-13 12:41:25 | python | 2 | 82551 | 17 | 2.466 | 33475.7 |
| 435 | 2025-07-13 03:51:27 | python | 1 | 48755 | 2 | 0.966 | 50471.0 |