History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"robustly"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 461 | 2025-09-08 07:51:00 | robustly | 1 | 82945 | 1 | 1.610 | 51518.6 |
| 460 | 2025-09-08 05:04:24 | robustly | 1 | 82945 | 1 | 1.300 | 63803.8 |
| 459 | 2025-08-09 09:03:26 | robustly | 1 | 82945 | 1 | 1.546 | 53651.4 |
| 458 | 2025-08-06 10:23:13 | robustly | 2 | 121059 | 5 | 17.613 | 6873.3 |
| 457 | 2025-07-31 09:37:26 | robustly | 1 | 82945 | 1 | 2.093 | 39629.7 |
| 456 | 2025-07-27 05:01:08 | robustly | 1 | 82945 | 1 | 7.093 | 11693.9 |
| 455 | 2025-07-27 04:39:46 | robustly | 1 | 82945 | 1 | 4.050 | 20480.2 |
| 454 | 2025-07-24 13:16:04 | robustly | 1 | 82945 | 1 | 10.190 | 8139.8 |
| 453 | 2025-07-24 02:26:23 | robustly | 1 | 82945 | 1 | 9.330 | 8890.1 |
| 452 | 2025-07-17 14:41:47 | robustly | 1 | 82945 | 1 | 3.233 | 25655.7 |
| 451 | 2025-07-17 06:40:05 | robustly | 1 | 82945 | 1 | 3.500 | 23698.6 |
| 450 | 2025-06-29 19:56:55 | robustly | 2 | 121059 | 5 | 19.063 | 6350.5 |
| 449 | 2025-06-28 21:26:20 | robustly | 1 | 82945 | 1 | 1.500 | 55296.7 |
| 448 | 2025-06-26 05:00:58 | robustly | 1 | 82945 | 1 | 5.216 | 15902.0 |
| 447 | 2025-06-16 05:42:50 | robustly | 1 | 82945 | 1 | 10.346 | 8017.1 |
| 446 | 2025-06-14 10:29:46 | robustly | 1 | 82945 | 1 | 6.626 | 12518.1 |
| 445 | 2025-06-13 20:19:57 | robustly | 1 | 82945 | 1 | 5.236 | 15841.3 |
| 444 | 2025-05-31 19:23:13 | robustly | 1 | 82945 | 1 | 7.123 | 11644.7 |
| 443 | 2025-05-23 10:12:54 | robustly | 1 | 82945 | 1 | 3.843 | 21583.4 |
| 442 | 2025-05-23 02:03:57 | robustly | 1 | 82945 | 1 | 1.423 | 58288.8 |
| 441 | 2025-05-18 12:39:52 | robustly | 1 | 82945 | 1 | 7.080 | 11715.4 |
| 440 | 2025-05-10 05:37:00 | robustly | 1 | 82945 | 1 | 5.253 | 15790.0 |
| 439 | 2025-05-10 00:43:56 | robustly | 3 | 146162 | 41 | 33.096 | 4416.3 |
| 438 | 2025-05-10 00:10:02 | robustly | 2 | 121059 | 5 | 20.376 | 5941.3 |
| 437 | 2025-05-09 04:34:08 | robustly | 1 | 82945 | 1 | 1.346 | 61623.3 |
| 436 | 2025-05-08 10:01:47 | robustly | 1 | 82945 | 1 | 4.080 | 20329.7 |
| 435 | 2025-05-03 19:51:05 | robustly | 1 | 82945 | 1 | 4.030 | 20581.9 |
| 434 | 2025-04-24 03:57:52 | robustly | 2 | 121059 | 5 | 17.470 | 6929.5 |
| 433 | 2025-04-08 22:02:00 | robustly | 1 | 82945 | 1 | 10.046 | 8256.5 |
| 432 | 2025-04-07 00:50:23 | robustly | 1 | 82945 | 1 | 10.863 | 7635.6 |
| 431 | 2025-04-02 01:34:00 | robustly | 3 | 146162 | 41 | 26.486 | 5518.5 |
| 430 | 2025-04-02 00:08:16 | robustly | 3 | 146162 | 41 | 52.176 | 2801.3 |
| 429 | 2025-03-31 19:06:20 | robustly | 3 | 146162 | 41 | 47.016 | 3108.8 |
| 428 | 2025-03-31 06:56:00 | robustly | 1 | 82945 | 1 | 6.626 | 12518.1 |
| 427 | 2025-03-30 06:16:52 | robustly | 3 | 146162 | 41 | 6.596 | 22159.2 |
| 426 | 2025-03-28 17:34:22 | robustly | 3 | 146162 | 41 | 44.376 | 3293.7 |
| 425 | 2025-03-25 19:10:35 | robustly | 2 | 121059 | 5 | 9.060 | 13361.9 |
| 424 | 2025-03-21 12:07:02 | robustly | 3 | 146162 | 41 | 33.300 | 4389.2 |
| 423 | 2025-03-21 10:41:38 | robustly | 3 | 146162 | 41 | 31.090 | 4701.3 |
| 422 | 2025-03-20 20:24:11 | robustly | 2 | 121059 | 5 | 5.970 | 20277.9 |
| 421 | 2025-03-19 20:23:54 | robustly | 1 | 82945 | 1 | 1.563 | 53067.8 |
| 420 | 2025-03-18 01:34:50 | robustly | 4 | 161609 | 374 | 87.363 | 1849.9 |
| 419 | 2025-03-14 15:37:02 | robustly | 1 | 82945 | 1 | 1.440 | 57600.7 |
| 418 | 2025-03-02 07:39:24 | robustly | 1 | 82945 | 1 | 6.953 | 11929.4 |
| 417 | 2025-03-02 04:06:01 | robustly | 1 | 82945 | 1 | 6.906 | 12010.6 |
| 416 | 2025-03-01 02:19:44 | robustly | 4 | 161609 | 374 | 53.316 | 3031.2 |
| 415 | 2025-02-28 10:49:47 | robustly | 4 | 161609 | 374 | 12.470 | 12959.8 |
| 414 | 2025-02-28 10:16:18 | robustly | 4 | 161609 | 374 | 58.206 | 2776.5 |
| 413 | 2025-02-28 07:42:25 | robustly | 4 | 161609 | 374 | 57.410 | 2815.0 |
| 412 | 2025-02-28 04:35:34 | robustly | 4 | 161609 | 374 | 50.170 | 3221.2 |
| 411 | 2025-02-28 00:36:27 | robustly | 4 | 161609 | 374 | 57.643 | 2803.6 |
| 410 | 2025-02-17 14:02:16 | robustly | 1 | 82945 | 1 | 6.860 | 12091.1 |
| 409 | 2025-02-04 01:35:16 | robustly | 2 | 121059 | 5 | 4.016 | 30144.2 |
| 408 | 2025-02-04 01:27:59 | robustly | 1 | 82945 | 1 | 7.673 | 10810.0 |
| 407 | 2025-02-04 00:54:23 | robustly | 3 | 146162 | 41 | 28.890 | 5059.3 |
| 406 | 2025-02-02 07:42:14 | robustly | 3 | 146162 | 41 | 40.926 | 3571.4 |
| 405 | 2025-02-01 23:23:56 | robustly | 3 | 146162 | 41 | 20.283 | 7206.1 |
| 404 | 2025-01-27 13:08:44 | robustly | 1 | 82945 | 1 | 7.033 | 11793.7 |
| 403 | 2025-01-16 14:01:33 | robustly | 3 | 146162 | 41 | 37.270 | 3921.7 |
| 402 | 2025-01-15 03:25:14 | robustly | 3 | 146162 | 41 | 50.423 | 2898.7 |
| 401 | 2025-01-14 23:10:08 | robustly | 4 | 161609 | 374 | 31.906 | 5065.2 |
| 400 | 2025-01-14 00:37:39 | robustly | 4 | 161609 | 374 | 72.140 | 2240.2 |
| 399 | 2025-01-13 10:37:00 | robustly | 4 | 161609 | 374 | 55.720 | 2900.4 |
| 398 | 2025-01-10 11:18:53 | robustly | 1 | 82945 | 1 | 7.030 | 11798.7 |
| 397 | 2025-01-10 11:05:56 | robustly | 4 | 161609 | 374 | 51.546 | 3135.2 |
| 396 | 2025-01-10 11:06:00 | robustly | 2 | 121059 | 5 | 14.826 | 8165.3 |
| 395 | 2025-01-10 11:02:02 | robustly | 3 | 146162 | 41 | 6.983 | 20931.1 |
| 394 | 2025-01-02 21:56:08 | robustly | 3 | 146162 | 41 | 31.156 | 4691.3 |
| 393 | 2025-01-02 21:56:12 | robustly | 2 | 121059 | 5 | 26.393 | 4586.8 |
| 392 | 2025-01-02 21:56:14 | robustly | 1 | 82945 | 1 | 3.983 | 20824.8 |
| 391 | 2024-12-30 09:55:15 | robustly | 2 | 121059 | 5 | 19.220 | 6298.6 |
| 390 | 2024-12-30 09:54:32 | robustly | 1 | 82945 | 1 | 4.030 | 20581.9 |
| 389 | 2024-12-14 21:01:05 | robustly | 3 | 146162 | 41 | 53.986 | 2707.4 |
| 388 | 2024-12-13 22:36:12 | robustly | 3 | 146162 | 41 | 37.176 | 3931.6 |
| 387 | 2024-12-12 18:00:29 | robustly | 3 | 146162 | 41 | 55.156 | 2650.0 |
| 386 | 2024-12-11 20:54:22 | robustly | 4 | 161609 | 374 | 56.456 | 2862.6 |
| 385 | 2024-12-11 20:54:24 | robustly | 3 | 146162 | 41 | 34.376 | 4251.9 |
| 384 | 2024-12-11 20:54:35 | robustly | 2 | 121059 | 5 | 19.050 | 6354.8 |
| 383 | 2024-12-11 20:52:52 | robustly | 1 | 82945 | 1 | 5.076 | 16340.6 |
| 382 | 2024-12-08 22:28:46 | robustly | 3 | 146162 | 41 | 7.236 | 20199.3 |
| 381 | 2024-12-08 22:28:45 | robustly | 3 | 146162 | 41 | 7.346 | 19896.8 |
| 380 | 2024-12-08 22:28:47 | robustly | 2 | 121059 | 5 | 3.813 | 31749.0 |
| 379 | 2024-12-02 03:20:09 | robustly | 1 | 82945 | 1 | 9.906 | 8373.2 |
| 378 | 2024-11-28 17:05:23 | robustly | 1 | 82945 | 1 | 3.766 | 22024.7 |
| 377 | 2024-11-22 12:48:53 | robustly | 1 | 82945 | 1 | 7.513 | 11040.2 |
| 376 | 2024-10-30 06:49:44 | robustly | 2 | 121059 | 5 | 18.403 | 6578.2 |
| 375 | 2024-10-29 21:51:31 | robustly | 3 | 146162 | 41 | 35.156 | 4157.5 |
| 374 | 2024-10-28 23:57:37 | robustly | 1 | 82945 | 1 | 7.890 | 10512.7 |
| 373 | 2024-10-28 23:33:25 | robustly | 2 | 121059 | 5 | 4.170 | 29030.9 |
| 372 | 2024-10-24 18:03:45 | robustly | 1 | 82945 | 1 | 5.843 | 14195.6 |
| 371 | 2024-10-22 19:18:32 | robustly | 3 | 146162 | 41 | 33.846 | 4318.4 |
| 370 | 2024-10-21 11:21:46 | robustly | 3 | 146162 | 41 | 27.893 | 5240.1 |
| 369 | 2024-10-21 08:10:32 | robustly | 3 | 146162 | 41 | 35.550 | 4111.4 |
| 368 | 2024-10-21 08:10:21 | robustly | 3 | 146162 | 41 | 40.283 | 3628.4 |
| 367 | 2024-10-21 00:58:19 | robustly | 3 | 146162 | 41 | 32.533 | 4492.7 |
| 366 | 2024-10-21 00:07:40 | robustly | 4 | 161609 | 374 | 60.943 | 2651.8 |
| 365 | 2024-10-21 00:07:43 | robustly | 3 | 146162 | 41 | 35.000 | 4176.1 |
| 364 | 2024-10-21 00:07:40 | robustly | 2 | 121059 | 5 | 19.063 | 6350.5 |
| 363 | 2024-10-21 00:07:24 | robustly | 1 | 82945 | 1 | 8.953 | 9264.5 |
| 362 | 2024-10-01 10:16:16 | robustly | 1 | 82945 | 1 | 8.640 | 9600.1 |