History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"multigrain"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 491 | 2025-10-19 06:24:06 | multigrain | 5 | 173545 | 311 | 17.326 | 10016.4 |
| 490 | 2025-10-08 03:06:31 | multigrain | 5 | 173545 | 311 | 15.126 | 11473.3 |
| 489 | 2025-10-02 11:13:37 | multigrain | 4 | 161450 | 66 | 9.670 | 16696.0 |
| 488 | 2025-09-27 07:29:13 | multigrain | 4 | 161450 | 66 | 11.283 | 14309.1 |
| 487 | 2025-09-18 10:36:41 | multigrain | 5 | 173545 | 311 | 16.860 | 10293.3 |
| 486 | 2025-09-18 10:04:15 | multigrain | 5 | 173545 | 311 | 15.173 | 11437.8 |
| 485 | 2025-09-18 07:24:38 | multigrain | 5 | 173545 | 311 | 17.190 | 10095.7 |
| 484 | 2025-09-15 12:58:46 | multigrain | 2 | 108824 | 4 | 7.500 | 14509.9 |
| 483 | 2025-09-11 17:56:11 | multigrain | 4 | 161450 | 66 | 11.003 | 14673.3 |
| 482 | 2025-08-25 14:33:50 | multigrain | 1 | 67641 | 1 | 5.546 | 12196.4 |
| 481 | 2025-08-25 13:27:57 | multigrain | 1 | 67641 | 1 | 5.440 | 12434.0 |
| 480 | 2025-08-25 01:18:59 | multigrain | 1 | 67641 | 1 | 5.376 | 12582.0 |
| 479 | 2025-07-25 09:36:11 | multigrain | 1 | 67641 | 1 | 2.453 | 27574.8 |
| 478 | 2025-07-25 00:16:01 | multigrain | 1 | 67641 | 1 | 4.643 | 14568.4 |
| 477 | 2025-07-24 22:10:10 | multigrain | 1 | 67641 | 1 | 2.750 | 24596.7 |
| 476 | 2025-07-24 14:00:58 | multigrain | 1 | 67641 | 1 | 4.690 | 14422.4 |
| 475 | 2025-07-13 19:58:10 | multigrain | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 474 | 2025-06-11 07:24:41 | multigrain | 1 | 67641 | 1 | 2.763 | 24481.0 |
| 473 | 2025-06-09 12:32:26 | multigrain | 1 | 67641 | 1 | 5.373 | 12589.1 |
| 472 | 2025-04-08 15:04:08 | multigrain | 1 | 67641 | 1 | 6.580 | 10279.8 |
| 471 | 2025-03-25 18:06:22 | multigrain | 3 | 140603 | 9 | 25.253 | 5567.8 |
| 470 | 2025-03-20 12:59:04 | multigrain | 1 | 67641 | 1 | 2.576 | 26258.2 |
| 469 | 2025-03-16 19:03:21 | multigrain | 1 | 67641 | 1 | 7.093 | 9536.3 |
| 468 | 2025-03-16 01:56:24 | multigrain | 1 | 67641 | 1 | 6.406 | 10559.0 |
| 467 | 2025-03-11 02:26:28 | multigrain | 3 | 140603 | 9 | 54.193 | 2594.5 |
| 466 | 2025-03-10 00:32:27 | multigrain | 3 | 140603 | 9 | 31.693 | 4436.4 |
| 465 | 2025-02-09 19:56:04 | multigrain | 1 | 67641 | 1 | 3.000 | 22547.0 |
| 464 | 2025-02-09 16:38:10 | multigrain | 4 | 161450 | 66 | 65.876 | 2450.8 |
| 463 | 2025-02-09 16:04:38 | multigrain | 3 | 140603 | 9 | 29.846 | 4710.9 |
| 462 | 2025-02-09 01:01:35 | multigrain | 4 | 161450 | 66 | 29.393 | 5492.8 |
| 461 | 2025-02-09 01:01:31 | multigrain | 3 | 140603 | 9 | 28.736 | 4892.9 |
| 460 | 2025-02-09 01:01:27 | multigrain | 2 | 108824 | 4 | 7.640 | 14244.0 |
| 459 | 2025-02-09 00:54:25 | multigrain | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 458 | 2025-02-07 10:08:37 | multigrain | 3 | 140603 | 9 | 28.953 | 4856.2 |
| 457 | 2025-02-07 10:08:35 | multigrain | 2 | 108824 | 4 | 15.800 | 6887.6 |
| 456 | 2025-02-03 22:21:25 | multigrain | 3 | 140603 | 9 | 43.830 | 3207.9 |
| 455 | 2025-02-03 22:16:42 | multigrain | 3 | 140603 | 9 | 27.926 | 5034.8 |
| 454 | 2025-02-03 22:16:44 | multigrain | 2 | 108824 | 4 | 16.236 | 6702.6 |
| 453 | 2025-02-03 22:16:40 | multigrain | 3 | 140603 | 9 | 15.690 | 8961.3 |
| 452 | 2025-02-03 22:15:38 | multigrain | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 451 | 2025-01-31 10:09:16 | multigrain | 2 | 108824 | 4 | 12.626 | 8619.0 |
| 450 | 2025-01-31 10:08:39 | multigrain | 3 | 140603 | 9 | 43.533 | 3229.8 |
| 449 | 2025-01-31 10:08:38 | multigrain | 3 | 140603 | 9 | 30.376 | 4628.8 |
| 448 | 2025-01-31 10:06:39 | multigrain | 1 | 67641 | 1 | 3.016 | 22427.4 |
| 447 | 2025-01-23 07:33:34 | multigrain | 1 | 67641 | 1 | 8.250 | 8198.9 |
| 446 | 2025-01-06 05:08:50 | multigrain | 3 | 140603 | 9 | 31.563 | 4454.7 |
| 445 | 2024-12-31 17:02:57 | multigrain | 3 | 140603 | 9 | 32.033 | 4389.3 |
| 444 | 2024-12-30 21:49:29 | multigrain | 1 | 67641 | 1 | 2.080 | 32519.7 |
| 443 | 2024-12-13 11:25:16 | multigrain | 3 | 140603 | 9 | 30.520 | 4606.9 |
| 442 | 2024-12-11 13:23:03 | multigrain | 2 | 108824 | 4 | 13.406 | 8117.6 |
| 441 | 2024-11-29 21:02:37 | multigrain | 3 | 140603 | 9 | 32.503 | 4325.8 |
| 440 | 2024-11-29 21:02:29 | multigrain | 3 | 140603 | 9 | 20.396 | 6893.7 |
| 439 | 2024-11-29 18:51:27 | multigrain | 4 | 161450 | 66 | 55.550 | 2906.4 |
| 438 | 2024-11-29 18:51:08 | multigrain | 4 | 161450 | 66 | 70.536 | 2288.9 |
| 437 | 2024-11-29 18:51:29 | multigrain | 3 | 140603 | 9 | 32.533 | 4321.9 |
| 436 | 2024-11-29 18:51:30 | multigrain | 2 | 108824 | 4 | 16.346 | 6657.5 |
| 435 | 2024-11-29 18:49:44 | multigrain | 1 | 67641 | 1 | 2.826 | 23935.2 |
| 434 | 2024-11-19 19:04:59 | multigrain | 1 | 67641 | 1 | 5.593 | 12093.9 |
| 433 | 2024-11-06 02:58:46 | multigrain | 1 | 67641 | 1 | 2.000 | 33820.5 |
| 432 | 2024-11-05 03:53:05 | multigrain | 3 | 140603 | 9 | 25.346 | 5547.3 |
| 431 | 2024-10-18 10:55:36 | multigrain | 3 | 140603 | 9 | 31.476 | 4467.0 |
| 430 | 2024-10-18 10:55:28 | multigrain | 2 | 108824 | 4 | 24.833 | 4382.2 |
| 429 | 2024-10-15 23:06:58 | multigrain | 3 | 140603 | 9 | 30.876 | 4553.8 |
| 428 | 2024-10-15 23:06:52 | multigrain | 2 | 108824 | 4 | 14.826 | 7340.1 |
| 427 | 2024-10-10 12:04:38 | multigrain | 1 | 67641 | 1 | 5.500 | 12298.4 |
| 426 | 2024-10-09 13:57:55 | multigrain | 3 | 140603 | 9 | 31.316 | 4489.8 |
| 425 | 2024-10-07 17:02:16 | multigrain | 3 | 140603 | 9 | 49.593 | 2835.1 |
| 424 | 2024-10-05 07:48:06 | multigrain | 2 | 108824 | 4 | 28.190 | 3860.4 |
| 423 | 2024-10-05 01:54:11 | multigrain | 4 | 161450 | 66 | 99.253 | 1626.7 |
| 422 | 2024-10-05 01:53:59 | multigrain | 4 | 161450 | 66 | 87.380 | 1847.7 |
| 421 | 2024-10-05 01:54:20 | multigrain | 3 | 140603 | 9 | 48.190 | 2917.7 |
| 420 | 2024-10-05 01:54:26 | multigrain | 2 | 108824 | 4 | 35.753 | 3043.8 |
| 419 | 2024-10-05 01:51:37 | multigrain | 1 | 67641 | 1 | 6.783 | 9972.1 |
| 418 | 2024-10-04 21:52:24 | multigrain | 1 | 67641 | 1 | 7.296 | 9271.0 |
| 417 | 2024-09-24 13:38:23 | multigrain | 1 | 67641 | 1 | 8.266 | 8183.0 |
| 416 | 2024-09-04 07:49:02 | multigrain | 1 | 67641 | 1 | 11.266 | 6004.0 |
| 415 | 2024-08-25 06:42:47 | multigrain | 1 | 67641 | 1 | 5.580 | 12122.0 |
| 414 | 2024-08-12 12:00:03 | multigrain | 1 | 67641 | 1 | 8.470 | 7986.0 |
| 413 | 2024-07-28 19:45:11 | multigrain | 4 | 161450 | 66 | 37.143 | 4346.7 |
| 412 | 2024-07-27 22:58:24 | multigrain | 4 | 161450 | 66 | 40.330 | 4003.2 |
| 411 | 2024-07-26 20:55:22 | multigrain | 1 | 67641 | 1 | 5.780 | 11702.6 |
| 410 | 2024-07-26 04:03:11 | multigrain | 1 | 67641 | 1 | 6.140 | 11016.4 |
| 409 | 2024-07-24 06:17:39 | multigrain | 4 | 161450 | 66 | 34.110 | 4733.2 |
| 408 | 2024-07-23 22:14:36 | multigrain | 4 | 161450 | 66 | 52.470 | 3077.0 |
| 407 | 2024-07-23 22:14:14 | multigrain | 3 | 140603 | 9 | 10.313 | 13633.6 |
| 406 | 2024-07-22 18:40:17 | multigrain | 4 | 161450 | 66 | 41.063 | 3931.8 |
| 405 | 2024-07-22 16:30:52 | multigrain | 4 | 161450 | 66 | 51.563 | 3131.1 |
| 404 | 2024-07-22 16:30:20 | multigrain | 3 | 140603 | 9 | 24.190 | 5812.4 |
| 403 | 2024-07-20 10:49:22 | multigrain | 1 | 67641 | 1 | 4.373 | 15467.9 |
| 402 | 2024-07-19 10:34:13 | multigrain | 1 | 67641 | 1 | 5.703 | 11860.6 |
| 401 | 2024-07-19 10:32:12 | multigrain | 1 | 67641 | 1 | 2.046 | 33060.1 |
| 400 | 2024-07-15 16:15:07 | multigrain | 1 | 67641 | 1 | 2.610 | 25916.1 |
| 399 | 2024-07-07 16:41:47 | multigrain | 1 | 67641 | 1 | 2.950 | 22929.2 |
| 398 | 2024-06-17 18:24:47 | multigrain | 1 | 67641 | 1 | 2.046 | 33060.1 |
| 397 | 2024-06-17 03:34:35 | multigrain | 1 | 67641 | 1 | 6.563 | 10306.4 |
| 396 | 2024-06-16 16:48:53 | multigrain | 3 | 140603 | 9 | 33.660 | 4177.2 |
| 395 | 2024-06-15 17:30:01 | multigrain | 3 | 140603 | 9 | 34.910 | 4027.6 |
| 394 | 2024-06-15 17:30:01 | multigrain | 2 | 108824 | 4 | 8.016 | 13575.8 |
| 393 | 2024-06-15 17:28:47 | multigrain | 1 | 67641 | 1 | 5.046 | 13404.9 |
| 392 | 2024-06-05 17:33:29 | multigrain | 4 | 161450 | 66 | 53.430 | 3021.7 |