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 |
| 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 |
| 434 | 2025-07-13 02:12:16 | python | 1 | 48755 | 2 | 0.890 | 54780.9 |
| 433 | 2025-07-11 02:52:48 | python | 2 | 82551 | 17 | 6.280 | 13145.1 |
| 432 | 2025-07-10 09:35:10 | python | 1 | 48755 | 2 | 3.813 | 12786.5 |
| 431 | 2025-06-30 12:41:04 | python | 3 | 112716 | 191 | 39.080 | 2884.2 |
| 430 | 2025-06-30 06:55:40 | python | 3 | 112716 | 191 | 28.110 | 4009.8 |
| 429 | 2025-06-28 19:59:19 | python | 3 | 112716 | 191 | 5.156 | 21861.1 |
| 428 | 2025-06-23 17:41:45 | python | 1 | 48755 | 2 | 0.940 | 51867.0 |
| 427 | 2025-06-20 12:10:51 | python | 1 | 48755 | 2 | 4.483 | 10875.5 |
| 426 | 2025-06-14 07:38:18 | python | 1 | 48755 | 2 | 4.203 | 11600.0 |
| 425 | 2025-06-10 03:41:00 | python | 1 | 48755 | 2 | 5.903 | 8259.4 |
| 424 | 2025-06-04 20:39:43 | python | 1 | 48755 | 2 | 5.953 | 8190.0 |
| 423 | 2025-06-04 01:01:53 | python | 1 | 48755 | 2 | 3.906 | 12482.1 |
| 422 | 2025-06-01 14:31:30 | python | 3 | 112716 | 191 | 35.893 | 3140.3 |
| 421 | 2025-05-30 15:47:44 | python | 1 | 48755 | 2 | 2.016 | 24184.0 |
| 420 | 2025-05-20 08:45:51 | python | 1 | 48755 | 2 | 4.423 | 11023.1 |
| 419 | 2025-05-14 07:41:47 | python | 1 | 48755 | 2 | 3.643 | 13383.2 |
| 418 | 2025-05-13 01:20:46 | python | 1 | 48755 | 2 | 0.843 | 57835.1 |
| 417 | 2025-05-11 21:56:44 | python | 3 | 112716 | 191 | 22.470 | 5016.3 |
| 416 | 2025-05-11 04:24:58 | python | 3 | 112716 | 191 | 25.643 | 4395.6 |
| 415 | 2025-05-10 03:41:38 | python | 1 | 48755 | 2 | 4.296 | 11348.9 |
| 414 | 2025-05-09 17:28:45 | python | 3 | 112716 | 191 | 5.546 | 20323.8 |
| 413 | 2025-05-09 17:20:31 | python | 2 | 82551 | 17 | 2.453 | 33653.1 |
| 412 | 2025-05-09 14:44:55 | python | 1 | 48755 | 2 | 0.750 | 65006.7 |
| 411 | 2025-05-02 04:06:17 | python | 1 | 48755 | 2 | 3.720 | 13106.2 |
| 410 | 2025-04-29 14:49:32 | python | 1 | 48755 | 2 | 3.890 | 12533.4 |
| 409 | 2025-04-28 22:42:52 | python | 1 | 48755 | 2 | 4.673 | 10433.3 |
| 408 | 2025-04-23 08:52:18 | python | 1 | 48755 | 2 | 1.780 | 27390.4 |
| 407 | 2025-04-21 14:17:53 | python | 2 | 82551 | 17 | 15.000 | 5503.4 |
| 406 | 2025-04-20 07:42:28 | python | 1 | 48755 | 2 | 3.393 | 14369.3 |
| 405 | 2025-04-20 00:29:53 | python | 2 | 82551 | 17 | 7.206 | 11455.9 |
| 404 | 2025-04-09 07:34:18 | python | 1 | 48755 | 2 | 3.486 | 13985.9 |
| 403 | 2025-04-09 02:38:26 | python | 2 | 82551 | 17 | 11.906 | 6933.6 |
| 402 | 2025-04-08 03:19:20 | python | 1 | 48755 | 2 | 2.890 | 16870.2 |
| 401 | 2025-04-04 00:26:56 | python | 1 | 48755 | 2 | 3.906 | 12482.1 |
| 400 | 2025-03-20 09:48:17 | python | 1 | 48755 | 2 | 3.813 | 12786.5 |
| 399 | 2025-03-17 18:58:32 | python | 1 | 48755 | 2 | 5.733 | 8504.3 |
| 398 | 2025-03-17 16:56:47 | python | 1 | 48755 | 2 | 3.826 | 12743.1 |
| 397 | 2025-03-15 10:54:43 | python | 1 | 48755 | 2 | 4.123 | 11825.1 |
| 396 | 2025-03-14 16:37:12 | python | 1 | 48755 | 2 | 4.280 | 11391.4 |
| 395 | 2025-03-12 23:28:49 | python | 1 | 48755 | 2 | 4.050 | 12038.3 |
| 394 | 2025-03-12 21:12:14 | python | 1 | 48755 | 2 | 2.110 | 23106.6 |
| 393 | 2025-03-08 04:24:47 | python | 1 | 48755 | 2 | 4.173 | 11683.4 |
| 392 | 2025-02-27 09:06:30 | python | 1 | 48755 | 2 | 3.780 | 12898.1 |
| 391 | 2025-02-27 05:25:27 | python | 1 | 48755 | 2 | 2.406 | 20263.9 |
| 390 | 2025-02-26 01:43:15 | python | 2 | 82551 | 17 | 6.173 | 13372.9 |
| 389 | 2025-02-25 06:40:08 | python | 1 | 48755 | 2 | 3.890 | 12533.4 |
| 388 | 2025-02-07 18:07:47 | python | 3 | 112716 | 191 | 18.796 | 5996.8 |
| 387 | 2025-02-07 18:07:28 | python | 2 | 82551 | 17 | 6.170 | 13379.4 |
| 386 | 2025-02-06 14:07:34 | python | 2 | 82551 | 17 | 2.486 | 33206.4 |
| 385 | 2025-01-28 00:54:14 | python | 1 | 48755 | 2 | 4.046 | 12050.2 |
| 384 | 2025-01-24 16:57:27 | python | 1 | 48755 | 2 | 2.750 | 17729.1 |
| 383 | 2025-01-23 21:55:51 | python | 3 | 112716 | 191 | 17.063 | 6605.9 |
| 382 | 2025-01-23 02:37:51 | python | 3 | 112716 | 191 | 24.800 | 4545.0 |
| 381 | 2025-01-23 02:38:03 | python | 2 | 82551 | 17 | 9.500 | 8689.6 |
| 380 | 2025-01-23 02:37:30 | python | 1 | 48755 | 2 | 1.936 | 25183.4 |
| 379 | 2024-12-27 19:38:52 | python | 1 | 48755 | 2 | 2.170 | 22467.7 |