History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "encoder"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
		| 545 | 2025-10-30 06:24:26 | encoder | 3 | 134027 | 216 | 14.940 | 8971.0 | 
		| 544 | 2025-10-26 15:05:11 | encoder | 3 | 134027 | 216 | 6.720 | 19944.5 | 
		| 543 | 2025-10-24 11:55:23 | encoder | 1 | 69583 | 5 | 1.186 | 58670.3 | 
		| 542 | 2025-10-21 18:23:43 | encoder | 3 | 134027 | 216 | 23.783 | 5635.4 | 
		| 541 | 2025-10-21 09:03:42 | encoder | 3 | 134027 | 216 | 20.910 | 6409.7 | 
		| 540 | 2025-10-21 04:37:10 | encoder | 3 | 134027 | 216 | 6.140 | 21828.5 | 
		| 539 | 2025-10-20 07:18:55 | encoder | 1 | 69583 | 5 | 5.953 | 11688.7 | 
		| 538 | 2025-10-20 07:18:46 | encoder | 1 | 69583 | 5 | 3.733 | 18640.0 | 
		| 537 | 2025-10-20 07:18:31 | encoder | 1 | 69583 | 5 | 5.903 | 11787.7 | 
		| 536 | 2025-10-20 07:18:18 | encoder | 1 | 69583 | 5 | 4.936 | 14097.0 | 
		| 535 | 2025-10-10 19:27:56 | encoder | 1 | 69583 | 5 | 1.250 | 55666.4 | 
		| 534 | 2025-10-06 22:44:08 | encoder | 1 | 69583 | 5 | 1.156 | 60192.9 | 
		| 533 | 2025-10-04 08:51:24 | encoder | 3 | 134027 | 216 | 6.670 | 20094.0 | 
		| 532 | 2025-10-03 00:55:05 | encoder | 1 | 69583 | 5 | 1.283 | 54234.6 | 
		| 531 | 2025-09-30 20:53:13 | encoder | 3 | 134027 | 216 | 6.953 | 19276.1 | 
		| 530 | 2025-09-22 03:37:24 | encoder | 3 | 134027 | 216 | 5.940 | 22563.5 | 
		| 529 | 2025-09-20 09:00:39 | encoder | 2 | 107671 | 22 | 2.966 | 36301.8 | 
		| 528 | 2025-09-18 14:35:28 | encoder | 1 | 69583 | 5 | 1.250 | 55666.4 | 
		| 527 | 2025-09-17 06:10:05 | encoder | 3 | 134027 | 216 | 6.360 | 21073.4 | 
		| 526 | 2025-09-16 23:57:01 | encoder | 3 | 134027 | 216 | 6.813 | 19672.2 | 
		| 525 | 2025-09-16 16:40:17 | encoder | 1 | 69583 | 5 | 1.186 | 58670.3 | 
		| 524 | 2025-09-16 13:20:33 | encoder | 2 | 107671 | 22 | 3.216 | 33479.8 | 
		| 523 | 2025-09-16 02:13:39 | encoder | 3 | 134027 | 216 | 7.046 | 19021.7 | 
		| 522 | 2025-09-10 14:56:02 | encoder | 3 | 134027 | 216 | 6.766 | 19808.9 | 
		| 521 | 2025-09-03 07:12:24 | encoder | 3 | 134027 | 216 | 27.906 | 4802.8 | 
		| 520 | 2025-09-01 18:23:05 | encoder | 2 | 107671 | 22 | 3.140 | 34290.1 | 
		| 519 | 2025-09-01 09:11:40 | encoder | 1 | 69583 | 5 | 1.093 | 63662.4 | 
		| 518 | 2025-09-01 05:47:42 | encoder | 3 | 134027 | 216 | 15.656 | 8560.7 | 
		| 517 | 2025-08-31 22:50:05 | encoder | 2 | 107671 | 22 | 3.783 | 28461.8 | 
		| 516 | 2025-08-31 17:38:35 | encoder | 3 | 134027 | 216 | 6.140 | 21828.5 | 
		| 515 | 2025-08-31 16:55:38 | encoder | 3 | 134027 | 216 | 5.940 | 22563.5 | 
		| 514 | 2025-08-31 14:39:44 | encoder | 2 | 107671 | 22 | 3.250 | 33129.5 | 
		| 513 | 2025-08-31 00:12:16 | encoder | 3 | 134027 | 216 | 6.143 | 21817.8 | 
		| 512 | 2025-08-30 11:10:47 | encoder | 1 | 69583 | 5 | 1.110 | 62687.4 | 
		| 511 | 2025-08-29 21:44:31 | encoder | 3 | 134027 | 216 | 6.983 | 19193.3 | 
		| 510 | 2025-08-29 20:31:08 | encoder | 3 | 134027 | 216 | 6.826 | 19634.8 | 
		| 509 | 2025-08-25 18:37:57 | encoder | 1 | 69583 | 5 | 1.236 | 56296.9 | 
		| 508 | 2025-08-25 07:20:42 | encoder | 1 | 69583 | 5 | 4.216 | 16504.5 | 
		| 507 | 2025-08-22 23:18:55 | encoder | 1 | 69583 | 5 | 5.780 | 12038.6 | 
		| 506 | 2025-08-17 14:34:43 | encoder | 1 | 69583 | 5 | 5.453 | 12760.5 | 
		| 505 | 2025-08-12 22:46:39 | encoder | 1 | 69583 | 5 | 2.643 | 26327.3 | 
		| 504 | 2025-08-02 13:41:40 | encoder | 1 | 69583 | 5 | 2.906 | 23944.6 | 
		| 503 | 2025-07-28 01:53:41 | encoder | 2 | 107671 | 22 | 8.063 | 13353.7 | 
		| 502 | 2025-07-27 00:50:42 | encoder | 3 | 134027 | 216 | 27.456 | 4881.5 | 
		| 501 | 2025-07-26 23:25:06 | encoder | 3 | 134027 | 216 | 23.016 | 5823.2 | 
		| 500 | 2025-07-26 12:42:24 | encoder | 3 | 134027 | 216 | 8.516 | 15738.3 | 
		| 499 | 2025-07-25 03:23:58 | encoder | 1 | 69583 | 5 | 5.263 | 13221.2 | 
		| 498 | 2025-07-25 03:15:21 | encoder | 1 | 69583 | 5 | 4.216 | 16504.5 | 
		| 497 | 2025-07-24 12:59:24 | encoder | 3 | 134027 | 216 | 33.486 | 4002.5 | 
		| 496 | 2025-07-24 03:58:54 | encoder | 1 | 69583 | 5 | 6.766 | 10284.2 | 
		| 495 | 2025-07-23 04:13:14 | encoder | 1 | 69583 | 5 | 8.126 | 8563.0 | 
		| 494 | 2025-07-23 02:26:51 | encoder | 1 | 69583 | 5 | 2.923 | 23805.3 | 
		| 493 | 2025-07-22 14:26:24 | encoder | 1 | 69583 | 5 | 3.140 | 22160.2 | 
		| 492 | 2025-07-22 01:56:48 | encoder | 2 | 107671 | 22 | 3.403 | 31640.0 | 
		| 491 | 2025-07-21 01:27:35 | encoder | 3 | 134027 | 216 | 6.780 | 19768.0 | 
		| 490 | 2025-07-18 18:33:17 | encoder | 2 | 107671 | 22 | 10.296 | 10457.6 | 
		| 489 | 2025-07-16 20:20:23 | encoder | 1 | 69583 | 5 | 1.153 | 60349.5 | 
		| 488 | 2025-07-16 00:32:24 | encoder | 3 | 134027 | 216 | 44.643 | 3002.2 | 
		| 487 | 2025-07-12 12:59:03 | encoder | 2 | 107671 | 22 | 2.906 | 37051.3 | 
		| 486 | 2025-07-10 18:06:29 | encoder | 2 | 107671 | 22 | 18.330 | 5874.0 | 
		| 485 | 2025-07-07 19:23:25 | encoder | 3 | 134027 | 216 | 6.843 | 19586.0 | 
		| 484 | 2025-07-04 01:32:28 | encoder | 3 | 134027 | 216 | 33.926 | 3950.6 | 
		| 483 | 2025-07-03 19:04:13 | encoder | 3 | 134027 | 216 | 7.813 | 17154.4 | 
		| 482 | 2025-07-02 21:26:52 | encoder | 3 | 134027 | 216 | 27.953 | 4794.7 | 
		| 481 | 2025-06-24 15:15:23 | encoder | 1 | 69583 | 5 | 4.783 | 14548.0 | 
		| 480 | 2025-06-24 03:14:10 | encoder | 3 | 134027 | 216 | 34.453 | 3890.1 | 
		| 479 | 2025-06-23 13:48:50 | encoder | 3 | 134027 | 216 | 6.313 | 21230.3 | 
		| 478 | 2025-06-22 14:26:50 | encoder | 2 | 107671 | 22 | 18.373 | 5860.3 | 
		| 477 | 2025-06-22 03:27:34 | encoder | 3 | 134027 | 216 | 32.460 | 4129.0 | 
		| 476 | 2025-06-21 23:15:45 | encoder | 3 | 134027 | 216 | 42.923 | 3122.5 | 
		| 475 | 2025-06-21 02:04:24 | encoder | 1 | 69583 | 5 | 1.250 | 55666.4 | 
		| 474 | 2025-06-20 01:47:16 | encoder | 1 | 69583 | 5 | 3.143 | 22139.0 | 
		| 473 | 2025-06-19 23:54:16 | encoder | 1 | 69583 | 5 | 5.796 | 12005.3 | 
		| 472 | 2025-06-18 15:58:00 | encoder | 3 | 134027 | 216 | 29.826 | 4493.6 | 
		| 471 | 2025-06-13 12:29:34 | encoder | 2 | 107671 | 22 | 3.470 | 31029.1 | 
		| 470 | 2025-06-12 15:11:54 | encoder | 2 | 107671 | 22 | 14.750 | 7299.7 | 
		| 469 | 2025-06-11 17:12:47 | encoder | 1 | 69583 | 5 | 1.280 | 54361.7 | 
		| 468 | 2025-06-10 10:26:41 | encoder | 2 | 107671 | 22 | 16.093 | 6690.5 | 
		| 467 | 2025-06-09 06:48:53 | encoder | 1 | 69583 | 5 | 1.250 | 55666.4 | 
		| 466 | 2025-05-27 20:38:59 | encoder | 1 | 69583 | 5 | 1.873 | 37150.6 | 
		| 465 | 2025-05-27 17:24:04 | encoder | 3 | 134027 | 216 | 25.643 | 5226.7 | 
		| 464 | 2025-05-25 19:50:19 | encoder | 1 | 69583 | 5 | 1.173 | 59320.5 | 
		| 463 | 2025-05-21 02:12:07 | encoder | 1 | 69583 | 5 | 1.313 | 52995.4 | 
		| 462 | 2025-05-20 02:02:01 | encoder | 1 | 69583 | 5 | 5.156 | 13495.5 | 
		| 461 | 2025-05-13 08:05:56 | encoder | 1 | 69583 | 5 | 3.610 | 19275.1 | 
		| 460 | 2025-05-06 15:13:02 | encoder | 3 | 134027 | 216 | 25.190 | 5320.6 | 
		| 459 | 2025-05-02 12:59:46 | encoder | 2 | 107671 | 22 | 11.970 | 8995.1 | 
		| 458 | 2025-05-02 03:30:40 | encoder | 1 | 69583 | 5 | 5.703 | 12201.1 | 
		| 457 | 2025-04-30 11:06:46 | encoder | 2 | 107671 | 22 | 8.690 | 12390.2 | 
		| 456 | 2025-04-30 01:09:31 | encoder | 3 | 134027 | 216 | 31.766 | 4219.2 | 
		| 455 | 2025-04-29 06:56:54 | encoder | 1 | 69583 | 5 | 1.200 | 57985.8 | 
		| 454 | 2025-04-23 15:12:17 | encoder | 1 | 69583 | 5 | 3.690 | 18857.2 | 
		| 453 | 2025-04-19 23:01:39 | encoder | 1 | 69583 | 5 | 8.783 | 7922.5 | 
		| 452 | 2025-04-18 02:38:31 | encoder | 1 | 69583 | 5 | 3.296 | 21111.3 | 
		| 451 | 2025-03-25 03:58:52 | encoder | 3 | 134027 | 216 | 33.500 | 4000.8 | 
		| 450 | 2025-03-25 01:34:20 | encoder | 3 | 134027 | 216 | 18.813 | 7124.2 | 
		| 449 | 2025-03-23 16:50:10 | encoder | 3 | 134027 | 216 | 37.833 | 3542.6 | 
		| 448 | 2025-03-22 21:25:45 | encoder | 2 | 107671 | 22 | 22.406 | 4805.5 | 
		| 447 | 2025-03-22 15:56:05 | encoder | 1 | 69583 | 5 | 6.060 | 11482.3 | 
		| 446 | 2025-03-20 03:45:44 | encoder | 1 | 69583 | 5 | 5.700 | 12207.5 |