History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"optimally"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 509 | 2025-10-16 02:52:10 | optimally | 1 | 81242 | 2 | 1.250 | 64993.6 |
| 508 | 2025-10-12 08:00:47 | optimally | 1 | 81242 | 2 | 1.403 | 57905.9 |
| 507 | 2025-09-14 02:50:18 | optimally | 3 | 148641 | 33 | 6.813 | 21817.3 |
| 506 | 2025-09-08 12:39:21 | optimally | 1 | 81242 | 2 | 1.233 | 65889.7 |
| 505 | 2025-08-29 02:42:28 | optimally | 2 | 121436 | 6 | 3.046 | 39867.4 |
| 504 | 2025-08-21 11:09:28 | optimally | 1 | 81242 | 2 | 3.186 | 25499.7 |
| 503 | 2025-08-19 21:05:41 | optimally | 2 | 121436 | 6 | 3.063 | 39646.1 |
| 502 | 2025-08-14 19:41:02 | optimally | 2 | 121436 | 6 | 9.470 | 12823.2 |
| 501 | 2025-08-14 13:52:42 | optimally | 2 | 121436 | 6 | 3.610 | 33638.8 |
| 500 | 2025-08-14 13:34:11 | optimally | 1 | 81242 | 2 | 1.233 | 65889.7 |
| 499 | 2025-08-11 19:30:44 | optimally | 2 | 121436 | 6 | 9.203 | 13195.3 |
| 498 | 2025-08-09 19:02:56 | optimally | 1 | 81242 | 2 | 4.046 | 20079.6 |
| 497 | 2025-08-09 13:10:53 | optimally | 1 | 81242 | 2 | 4.580 | 17738.4 |
| 496 | 2025-08-09 05:45:32 | optimally | 1 | 81242 | 2 | 5.156 | 15756.8 |
| 495 | 2025-08-04 03:39:36 | optimally | 1 | 81242 | 2 | 3.423 | 23734.2 |
| 494 | 2025-07-14 08:36:17 | optimally | 1 | 81242 | 2 | 8.186 | 9924.5 |
| 493 | 2025-07-11 18:03:53 | optimally | 2 | 121436 | 6 | 23.280 | 5216.3 |
| 492 | 2025-07-10 15:45:07 | optimally | 1 | 81242 | 2 | 6.033 | 13466.3 |
| 491 | 2025-07-09 18:10:29 | optimally | 1 | 81242 | 2 | 1.296 | 62686.7 |
| 490 | 2025-07-06 15:22:51 | optimally | 1 | 81242 | 2 | 1.250 | 64993.6 |
| 489 | 2025-07-02 07:54:59 | optimally | 1 | 81242 | 2 | 6.610 | 12290.8 |
| 488 | 2025-07-02 01:00:22 | optimally | 1 | 81242 | 2 | 3.483 | 23325.3 |
| 487 | 2025-06-29 13:09:12 | optimally | 1 | 81242 | 2 | 1.236 | 65729.8 |
| 486 | 2025-06-24 04:40:56 | optimally | 1 | 81242 | 2 | 6.656 | 12205.8 |
| 485 | 2025-06-14 21:15:49 | optimally | 1 | 81242 | 2 | 5.533 | 14683.2 |
| 484 | 2025-06-14 08:51:37 | optimally | 1 | 81242 | 2 | 4.860 | 16716.5 |
| 483 | 2025-06-11 21:29:37 | optimally | 1 | 81242 | 2 | 6.516 | 12468.1 |
| 482 | 2025-06-10 20:22:28 | optimally | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 481 | 2025-06-06 16:51:35 | optimally | 1 | 81242 | 2 | 9.970 | 8148.6 |
| 480 | 2025-05-31 09:21:33 | optimally | 1 | 81242 | 2 | 6.500 | 12498.8 |
| 479 | 2025-05-29 11:35:49 | optimally | 1 | 81242 | 2 | 6.703 | 12120.2 |
| 478 | 2025-05-25 19:19:24 | optimally | 3 | 148641 | 33 | 29.563 | 5027.9 |
| 477 | 2025-05-22 17:24:07 | optimally | 3 | 148641 | 33 | 53.063 | 2801.2 |
| 476 | 2025-05-21 05:59:20 | optimally | 4 | 165329 | 246 | 33.000 | 5010.0 |
| 475 | 2025-05-21 05:26:47 | optimally | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 474 | 2025-05-18 23:47:03 | optimally | 4 | 165329 | 246 | 35.550 | 4650.6 |
| 473 | 2025-05-18 10:10:17 | optimally | 4 | 165329 | 246 | 69.533 | 2377.7 |
| 472 | 2025-05-18 03:01:15 | optimally | 4 | 165329 | 246 | 49.253 | 3356.7 |
| 471 | 2025-05-16 22:33:07 | optimally | 4 | 165329 | 246 | 32.736 | 5050.4 |
| 470 | 2025-05-16 22:20:33 | optimally | 4 | 165329 | 246 | 48.913 | 3380.1 |
| 469 | 2025-05-15 20:13:41 | optimally | 4 | 165329 | 246 | 59.956 | 2757.5 |
| 468 | 2025-05-08 10:31:01 | optimally | 1 | 81242 | 2 | 6.203 | 13097.2 |
| 467 | 2025-05-02 08:37:58 | optimally | 1 | 81242 | 2 | 8.126 | 9997.8 |
| 466 | 2025-04-30 16:52:43 | optimally | 1 | 81242 | 2 | 9.983 | 8138.0 |
| 465 | 2025-04-29 02:22:06 | optimally | 1 | 81242 | 2 | 5.156 | 15756.8 |
| 464 | 2025-04-23 06:33:06 | optimally | 1 | 81242 | 2 | 6.686 | 12151.1 |
| 463 | 2025-04-16 07:54:09 | optimally | 1 | 81242 | 2 | 6.470 | 12556.7 |
| 462 | 2025-04-13 22:46:27 | optimally | 4 | 165329 | 246 | 76.940 | 2148.8 |
| 461 | 2025-04-12 14:47:58 | optimally | 2 | 121436 | 6 | 22.610 | 5370.9 |
| 460 | 2025-04-12 08:38:22 | optimally | 4 | 165329 | 246 | 67.800 | 2438.5 |
| 459 | 2025-04-10 18:56:45 | optimally | 3 | 148641 | 33 | 7.250 | 20502.2 |
| 458 | 2025-04-09 15:47:38 | optimally | 3 | 148641 | 33 | 59.643 | 2492.2 |
| 457 | 2025-04-08 22:46:54 | optimally | 3 | 148641 | 33 | 31.096 | 4780.1 |
| 456 | 2025-04-07 05:52:11 | optimally | 3 | 148641 | 33 | 37.940 | 3917.8 |
| 455 | 2025-04-06 14:56:54 | optimally | 2 | 121436 | 6 | 18.283 | 6642.0 |
| 454 | 2025-04-06 04:59:44 | optimally | 3 | 148641 | 33 | 37.640 | 3949.0 |
| 453 | 2025-04-05 19:52:55 | optimally | 4 | 165329 | 246 | 11.266 | 14675.0 |
| 452 | 2025-04-02 10:18:57 | optimally | 1 | 81242 | 2 | 7.593 | 10699.6 |
| 451 | 2025-03-20 08:01:48 | optimally | 1 | 81242 | 2 | 7.440 | 10919.6 |
| 450 | 2025-03-20 03:04:43 | optimally | 1 | 81242 | 2 | 3.296 | 24648.7 |
| 449 | 2025-03-03 02:09:58 | optimally | 1 | 81242 | 2 | 1.346 | 60358.1 |
| 448 | 2025-02-19 20:18:32 | optimally | 3 | 148641 | 33 | 22.986 | 6466.6 |
| 447 | 2025-02-15 06:09:00 | optimally | 1 | 81242 | 2 | 4.173 | 19468.5 |
| 446 | 2025-02-05 21:58:56 | optimally | 1 | 81242 | 2 | 4.720 | 17212.3 |
| 445 | 2025-02-01 15:14:29 | optimally | 3 | 148641 | 33 | 34.440 | 4315.9 |
| 444 | 2025-02-01 15:14:32 | optimally | 3 | 148641 | 33 | 30.846 | 4818.8 |
| 443 | 2025-02-01 15:14:35 | optimally | 2 | 121436 | 6 | 16.003 | 7588.3 |
| 442 | 2025-02-01 15:13:38 | optimally | 1 | 81242 | 2 | 5.623 | 14448.2 |
| 441 | 2025-01-29 21:37:53 | optimally | 2 | 121436 | 6 | 15.920 | 7627.9 |
| 440 | 2025-01-29 21:37:23 | optimally | 1 | 81242 | 2 | 2.950 | 27539.7 |
| 439 | 2025-01-29 21:35:13 | optimally | 3 | 148641 | 33 | 47.486 | 3130.2 |
| 438 | 2025-01-25 05:55:42 | optimally | 3 | 148641 | 33 | 41.440 | 3586.9 |
| 437 | 2025-01-20 00:32:52 | optimally | 3 | 148641 | 33 | 37.063 | 4010.5 |
| 436 | 2024-12-27 13:04:46 | optimally | 1 | 81242 | 2 | 9.830 | 8264.7 |
| 435 | 2024-12-25 18:35:06 | optimally | 3 | 148641 | 33 | 47.266 | 3144.8 |
| 434 | 2024-12-25 04:01:24 | optimally | 2 | 121436 | 6 | 8.953 | 13563.7 |
| 433 | 2024-12-25 04:01:14 | optimally | 1 | 81242 | 2 | 3.500 | 23212.0 |
| 432 | 2024-12-25 03:54:56 | optimally | 3 | 148641 | 33 | 40.410 | 3678.3 |
| 431 | 2024-12-25 03:54:50 | optimally | 3 | 148641 | 33 | 43.313 | 3431.8 |
| 430 | 2024-12-25 01:49:23 | optimally | 3 | 148641 | 33 | 30.463 | 4879.4 |
| 429 | 2024-12-24 17:57:53 | optimally | 4 | 165329 | 246 | 58.456 | 2828.3 |
| 428 | 2024-12-24 17:57:57 | optimally | 3 | 148641 | 33 | 36.110 | 4116.3 |
| 427 | 2024-12-24 17:58:00 | optimally | 2 | 121436 | 6 | 19.483 | 6232.9 |
| 426 | 2024-12-24 17:55:25 | optimally | 1 | 81242 | 2 | 2.860 | 28406.3 |
| 425 | 2024-12-07 23:54:00 | optimally | 3 | 148641 | 33 | 25.270 | 5882.1 |
| 424 | 2024-12-05 17:16:51 | optimally | 2 | 121436 | 6 | 17.173 | 7071.3 |
| 423 | 2024-12-05 17:16:31 | optimally | 3 | 148641 | 33 | 35.750 | 4157.8 |
| 422 | 2024-12-05 17:15:49 | optimally | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 421 | 2024-11-24 21:34:26 | optimally | 3 | 148641 | 33 | 43.160 | 3444.0 |
| 420 | 2024-11-22 16:52:08 | optimally | 3 | 148641 | 33 | 41.003 | 3625.1 |
| 419 | 2024-11-22 01:12:29 | optimally | 3 | 148641 | 33 | 35.156 | 4228.0 |
| 418 | 2024-11-21 06:34:51 | optimally | 2 | 121436 | 6 | 25.860 | 4695.9 |
| 417 | 2024-11-21 06:34:48 | optimally | 3 | 148641 | 33 | 27.063 | 5492.4 |
| 416 | 2024-11-21 06:30:46 | optimally | 1 | 81242 | 2 | 1.220 | 66591.8 |
| 415 | 2024-11-20 06:24:15 | optimally | 1 | 81242 | 2 | 10.186 | 7975.8 |
| 414 | 2024-11-08 19:08:45 | optimally | 1 | 81242 | 2 | 1.310 | 62016.8 |
| 413 | 2024-10-29 05:48:09 | optimally | 3 | 148641 | 33 | 37.316 | 3983.3 |
| 412 | 2024-10-26 14:39:58 | optimally | 1 | 81242 | 2 | 5.503 | 14763.2 |
| 411 | 2024-10-20 06:55:23 | optimally | 3 | 148641 | 33 | 39.813 | 3733.5 |
| 410 | 2024-10-20 06:55:31 | optimally | 2 | 121436 | 6 | 16.610 | 7311.0 |