History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coarser"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 518 | 2025-11-26 06:18:50 | coarser | 3 | 134027 | 620 | 15.906 | 8426.2 |
| 517 | 2025-11-23 13:16:05 | coarser | 3 | 134027 | 620 | 6.500 | 20619.5 |
| 516 | 2025-11-20 08:51:03 | coarser | 3 | 134027 | 620 | 30.236 | 4432.7 |
| 515 | 2025-11-12 19:32:43 | coarser | 3 | 134027 | 620 | 7.200 | 18614.9 |
| 514 | 2025-11-06 13:06:33 | coarser | 1 | 69583 | 5 | 1.140 | 61037.7 |
| 513 | 2025-10-30 18:00:01 | coarser | 3 | 134027 | 620 | 12.266 | 10926.7 |
| 512 | 2025-10-24 04:16:17 | coarser | 1 | 69583 | 5 | 1.266 | 54962.9 |
| 511 | 2025-10-23 03:53:02 | coarser | 2 | 107671 | 56 | 15.826 | 6803.4 |
| 510 | 2025-10-23 03:53:00 | coarser | 2 | 107671 | 56 | 13.376 | 8049.6 |
| 509 | 2025-10-23 02:23:18 | coarser | 1 | 69583 | 5 | 1.263 | 55093.4 |
| 508 | 2025-10-22 16:16:08 | coarser | 3 | 134027 | 620 | 18.190 | 7368.2 |
| 507 | 2025-10-16 06:18:41 | coarser | 1 | 69583 | 5 | 1.110 | 62687.4 |
| 506 | 2025-10-12 21:11:14 | coarser | 3 | 134027 | 620 | 6.826 | 19634.8 |
| 505 | 2025-10-12 20:54:13 | coarser | 3 | 134027 | 620 | 7.216 | 18573.6 |
| 504 | 2025-10-03 20:23:34 | coarser | 1 | 69583 | 5 | 1.280 | 54361.7 |
| 503 | 2025-10-03 19:16:41 | coarser | 3 | 134027 | 620 | 7.360 | 18210.2 |
| 502 | 2025-10-02 18:25:16 | coarser | 1 | 69583 | 5 | 1.283 | 54234.6 |
| 501 | 2025-09-28 19:26:13 | coarser | 1 | 69583 | 5 | 2.000 | 34791.5 |
| 500 | 2025-09-18 11:53:20 | coarser | 1 | 69583 | 5 | 2.626 | 26497.7 |
| 499 | 2025-09-17 22:11:47 | coarser | 3 | 134027 | 620 | 7.596 | 17644.4 |
| 498 | 2025-09-07 01:33:25 | coarser | 1 | 69583 | 5 | 1.283 | 54234.6 |
| 497 | 2025-09-04 15:27:20 | coarser | 1 | 69583 | 5 | 1.110 | 62687.4 |
| 496 | 2025-08-31 12:01:57 | coarser | 1 | 69583 | 5 | 1.326 | 52475.9 |
| 495 | 2025-08-27 08:43:34 | coarser | 1 | 69583 | 5 | 1.186 | 58670.3 |
| 494 | 2025-08-27 06:24:16 | coarser | 1 | 69583 | 5 | 1.266 | 54962.9 |
| 493 | 2025-08-26 23:55:26 | coarser | 1 | 69583 | 5 | 1.280 | 54361.7 |
| 492 | 2025-08-19 04:10:52 | coarser | 1 | 69583 | 5 | 2.656 | 26198.4 |
| 491 | 2025-08-16 08:56:10 | coarser | 3 | 134027 | 620 | 7.796 | 17191.8 |
| 490 | 2025-08-06 06:11:15 | coarser | 3 | 134027 | 620 | 27.330 | 4904.0 |
| 489 | 2025-08-04 12:54:44 | coarser | 1 | 69583 | 5 | 6.580 | 10574.9 |
| 488 | 2025-08-02 07:06:14 | coarser | 3 | 134027 | 620 | 26.220 | 5111.6 |
| 487 | 2025-08-02 07:06:08 | coarser | 3 | 134027 | 620 | 17.343 | 7728.0 |
| 486 | 2025-08-02 06:15:15 | coarser | 3 | 134027 | 620 | 12.986 | 10320.9 |
| 485 | 2025-08-01 08:12:51 | coarser | 1 | 69583 | 5 | 3.610 | 19275.1 |
| 484 | 2025-08-01 06:19:54 | coarser | 2 | 107671 | 56 | 12.906 | 8342.7 |
| 483 | 2025-07-31 17:54:44 | coarser | 3 | 134027 | 620 | 13.670 | 9804.5 |
| 482 | 2025-07-31 09:45:10 | coarser | 3 | 134027 | 620 | 6.030 | 22226.7 |
| 481 | 2025-07-29 14:11:18 | coarser | 1 | 69583 | 5 | 5.186 | 13417.5 |
| 480 | 2025-07-28 20:31:44 | coarser | 3 | 134027 | 620 | 16.953 | 7905.8 |
| 479 | 2025-07-27 09:34:27 | coarser | 1 | 69583 | 5 | 7.686 | 9053.2 |
| 478 | 2025-07-26 13:46:50 | coarser | 1 | 69583 | 5 | 2.593 | 26834.9 |
| 477 | 2025-07-25 18:36:41 | coarser | 1 | 69583 | 5 | 1.296 | 53690.6 |
| 476 | 2025-07-25 13:04:51 | coarser | 1 | 69583 | 5 | 5.766 | 12067.8 |
| 475 | 2025-07-24 17:47:45 | coarser | 1 | 69583 | 5 | 8.483 | 8202.6 |
| 474 | 2025-07-24 08:23:30 | coarser | 1 | 69583 | 5 | 8.610 | 8081.6 |
| 473 | 2025-07-17 06:32:31 | coarser | 1 | 69583 | 5 | 4.173 | 16674.6 |
| 472 | 2025-07-13 09:42:27 | coarser | 1 | 69583 | 5 | 3.013 | 23094.3 |
| 471 | 2025-07-05 12:03:13 | coarser | 1 | 69583 | 5 | 3.046 | 22844.1 |
| 470 | 2025-07-02 06:36:35 | coarser | 1 | 69583 | 5 | 7.780 | 8943.8 |
| 469 | 2025-06-26 00:43:45 | coarser | 1 | 69583 | 5 | 8.860 | 7853.6 |
| 468 | 2025-06-22 19:59:05 | coarser | 1 | 69583 | 5 | 1.123 | 61961.7 |
| 467 | 2025-06-20 10:04:10 | coarser | 1 | 69583 | 5 | 5.780 | 12038.6 |
| 466 | 2025-06-18 23:44:01 | coarser | 1 | 69583 | 5 | 3.110 | 22374.0 |
| 465 | 2025-06-18 04:56:00 | coarser | 3 | 134027 | 620 | 30.470 | 4398.7 |
| 464 | 2025-06-16 21:32:29 | coarser | 3 | 134027 | 620 | 31.923 | 4198.4 |
| 463 | 2025-06-16 05:50:43 | coarser | 3 | 134027 | 620 | 23.483 | 5707.4 |
| 462 | 2025-06-15 06:03:46 | coarser | 3 | 134027 | 620 | 6.423 | 20866.7 |
| 461 | 2025-06-14 04:55:45 | coarser | 1 | 69583 | 5 | 7.343 | 9476.1 |
| 460 | 2025-06-13 15:31:30 | coarser | 2 | 107671 | 56 | 3.153 | 34148.7 |
| 459 | 2025-06-08 22:15:50 | coarser | 1 | 69583 | 5 | 1.266 | 54962.9 |
| 458 | 2025-06-03 09:08:54 | coarser | 3 | 134027 | 620 | 14.376 | 9323.0 |
| 457 | 2025-06-02 18:20:52 | coarser | 2 | 107671 | 56 | 3.420 | 31482.7 |
| 456 | 2025-06-02 06:12:34 | coarser | 1 | 69583 | 5 | 6.173 | 11272.2 |
| 455 | 2025-05-31 05:19:05 | coarser | 2 | 107671 | 56 | 8.860 | 12152.5 |
| 454 | 2025-05-31 03:58:53 | coarser | 3 | 134027 | 620 | 28.236 | 4746.7 |
| 453 | 2025-05-30 10:35:17 | coarser | 2 | 107671 | 56 | 9.503 | 11330.2 |
| 452 | 2025-05-29 22:07:36 | coarser | 3 | 134027 | 620 | 7.390 | 18136.3 |
| 451 | 2025-05-29 08:58:36 | coarser | 1 | 69583 | 5 | 6.110 | 11388.4 |
| 450 | 2025-05-29 01:00:53 | coarser | 3 | 134027 | 620 | 17.640 | 7597.9 |
| 449 | 2025-05-28 23:13:23 | coarser | 1 | 69583 | 5 | 6.440 | 10804.8 |
| 448 | 2025-05-26 03:52:42 | coarser | 3 | 134027 | 620 | 25.283 | 5301.1 |
| 447 | 2025-05-25 12:34:23 | coarser | 3 | 134027 | 620 | 7.483 | 17910.9 |
| 446 | 2025-05-24 16:49:30 | coarser | 2 | 107671 | 56 | 24.713 | 4356.9 |
| 445 | 2025-05-20 08:08:05 | coarser | 1 | 69583 | 5 | 7.266 | 9576.5 |
| 444 | 2025-05-19 10:10:13 | coarser | 3 | 134027 | 620 | 6.063 | 22105.7 |
| 443 | 2025-05-18 08:22:06 | coarser | 2 | 107671 | 56 | 9.596 | 11220.4 |
| 442 | 2025-05-18 04:17:22 | coarser | 3 | 134027 | 620 | 35.280 | 3799.0 |
| 441 | 2025-05-17 00:34:38 | coarser | 1 | 69583 | 5 | 1.280 | 54361.7 |
| 440 | 2025-05-16 17:47:43 | coarser | 3 | 134027 | 620 | 54.630 | 2453.4 |
| 439 | 2025-05-16 09:09:56 | coarser | 3 | 134027 | 620 | 31.740 | 4222.7 |
| 438 | 2025-05-14 05:56:16 | coarser | 3 | 134027 | 620 | 35.843 | 3739.3 |
| 437 | 2025-05-13 04:07:13 | coarser | 1 | 69583 | 5 | 1.283 | 54234.6 |
| 436 | 2025-05-07 00:24:04 | coarser | 1 | 69583 | 5 | 1.126 | 61796.6 |
| 435 | 2025-05-06 10:40:40 | coarser | 1 | 69583 | 5 | 5.843 | 11908.8 |
| 434 | 2025-05-05 09:47:55 | coarser | 1 | 69583 | 5 | 1.406 | 49490.0 |
| 433 | 2025-05-01 02:02:46 | coarser | 1 | 69583 | 5 | 6.310 | 11027.4 |
| 432 | 2025-04-29 15:38:05 | coarser | 1 | 69583 | 5 | 5.546 | 12546.5 |
| 431 | 2025-04-28 11:36:56 | coarser | 1 | 69583 | 5 | 6.470 | 10754.7 |
| 430 | 2025-04-20 05:36:33 | coarser | 1 | 69583 | 5 | 3.140 | 22160.2 |
| 429 | 2025-04-17 17:45:43 | coarser | 1 | 69583 | 5 | 1.093 | 63662.4 |
| 428 | 2025-04-09 04:02:24 | coarser | 1 | 69583 | 5 | 3.063 | 22717.3 |
| 427 | 2025-04-05 11:20:29 | coarser | 2 | 107671 | 56 | 2.936 | 36672.7 |
| 426 | 2025-03-23 10:31:24 | coarser | 1 | 69583 | 5 | 5.483 | 12690.7 |
| 425 | 2025-03-20 14:09:47 | coarser | 1 | 69583 | 5 | 6.220 | 11187.0 |
| 424 | 2025-03-08 00:42:11 | coarser | 1 | 69583 | 5 | 8.720 | 7979.7 |
| 423 | 2025-03-06 16:39:45 | coarser | 2 | 107671 | 56 | 11.283 | 9542.8 |
| 422 | 2025-03-06 00:39:01 | coarser | 1 | 69583 | 5 | 5.843 | 11908.8 |
| 421 | 2025-03-06 00:38:33 | coarser | 2 | 107671 | 56 | 23.326 | 4615.9 |
| 420 | 2025-03-05 10:42:13 | coarser | 3 | 134027 | 620 | 36.880 | 3634.1 |
| 419 | 2025-03-04 08:35:39 | coarser | 3 | 134027 | 620 | 6.216 | 21561.6 |