History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cohorts"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 519 | 2025-10-28 21:41:19 | cohorts | 1 | 69583 | 3 | 1.280 | 54361.7 |
| 518 | 2025-10-27 18:25:37 | cohorts | 1 | 69583 | 3 | 1.233 | 56433.9 |
| 517 | 2025-10-25 16:23:02 | cohorts | 1 | 69583 | 3 | 1.280 | 54361.7 |
| 516 | 2025-10-21 02:19:19 | cohorts | 1 | 69583 | 3 | 1.720 | 40455.2 |
| 515 | 2025-10-01 10:37:59 | cohorts | 1 | 69583 | 3 | 1.263 | 55093.4 |
| 514 | 2025-09-20 18:19:00 | cohorts | 1 | 69583 | 3 | 1.110 | 62687.4 |
| 513 | 2025-09-18 12:02:15 | cohorts | 1 | 69583 | 3 | 2.360 | 29484.3 |
| 512 | 2025-09-02 20:32:02 | cohorts | 1 | 69583 | 3 | 1.203 | 57841.2 |
| 511 | 2025-08-26 05:37:04 | cohorts | 1 | 69583 | 3 | 8.190 | 8496.1 |
| 510 | 2025-08-23 09:26:08 | cohorts | 1 | 69583 | 3 | 7.376 | 9433.7 |
| 509 | 2025-08-09 02:58:10 | cohorts | 3 | 134027 | 326 | 17.843 | 7511.5 |
| 508 | 2025-08-08 15:27:42 | cohorts | 1 | 69583 | 3 | 1.110 | 62687.4 |
| 507 | 2025-08-07 21:28:28 | cohorts | 2 | 107671 | 29 | 3.596 | 29941.9 |
| 506 | 2025-08-07 13:49:46 | cohorts | 3 | 134027 | 326 | 19.953 | 6717.1 |
| 505 | 2025-08-05 03:40:07 | cohorts | 3 | 134027 | 326 | 29.643 | 4521.4 |
| 504 | 2025-08-03 03:39:35 | cohorts | 1 | 69583 | 3 | 6.203 | 11217.6 |
| 503 | 2025-07-28 08:40:48 | cohorts | 1 | 69583 | 3 | 2.390 | 29114.2 |
| 502 | 2025-07-27 04:01:50 | cohorts | 1 | 69583 | 3 | 5.826 | 11943.5 |
| 501 | 2025-07-26 05:04:06 | cohorts | 1 | 69583 | 3 | 2.970 | 23428.6 |
| 500 | 2025-07-24 08:11:22 | cohorts | 1 | 69583 | 3 | 4.750 | 14649.1 |
| 499 | 2025-07-23 21:13:39 | cohorts | 1 | 69583 | 3 | 7.420 | 9377.8 |
| 498 | 2025-07-23 07:37:51 | cohorts | 1 | 69583 | 3 | 5.970 | 11655.4 |
| 497 | 2025-07-23 06:43:14 | cohorts | 1 | 69583 | 3 | 6.343 | 10970.0 |
| 496 | 2025-07-22 20:47:53 | cohorts | 1 | 69583 | 3 | 5.063 | 13743.4 |
| 495 | 2025-07-22 14:13:41 | cohorts | 1 | 69583 | 3 | 4.640 | 14996.3 |
| 494 | 2025-07-15 16:11:45 | cohorts | 2 | 107671 | 29 | 4.533 | 23752.7 |
| 493 | 2025-07-13 02:07:15 | cohorts | 2 | 107671 | 29 | 3.266 | 32967.2 |
| 492 | 2025-07-12 11:39:19 | cohorts | 3 | 134027 | 326 | 6.800 | 19709.9 |
| 491 | 2025-07-12 08:51:02 | cohorts | 2 | 107671 | 29 | 4.470 | 24087.5 |
| 490 | 2025-07-09 09:38:56 | cohorts | 1 | 69583 | 3 | 1.233 | 56433.9 |
| 489 | 2025-07-03 20:49:56 | cohorts | 2 | 107671 | 29 | 3.466 | 31064.9 |
| 488 | 2025-07-01 21:43:06 | cohorts | 2 | 107671 | 29 | 10.843 | 9930.0 |
| 487 | 2025-06-30 23:46:35 | cohorts | 1 | 69583 | 3 | 1.173 | 59320.5 |
| 486 | 2025-06-29 17:08:03 | cohorts | 1 | 69583 | 3 | 1.233 | 56433.9 |
| 485 | 2025-06-29 15:21:54 | cohorts | 3 | 134027 | 326 | 6.760 | 19826.5 |
| 484 | 2025-06-28 01:37:23 | cohorts | 3 | 134027 | 326 | 26.690 | 5021.6 |
| 483 | 2025-06-27 02:45:38 | cohorts | 3 | 134027 | 326 | 17.580 | 7623.8 |
| 482 | 2025-06-25 10:01:36 | cohorts | 1 | 69583 | 3 | 7.280 | 9558.1 |
| 481 | 2025-06-25 03:08:12 | cohorts | 3 | 134027 | 326 | 26.516 | 5054.6 |
| 480 | 2025-06-24 19:59:35 | cohorts | 2 | 107671 | 29 | 3.263 | 32997.5 |
| 479 | 2025-06-24 11:07:05 | cohorts | 1 | 69583 | 3 | 3.296 | 21111.3 |
| 478 | 2025-06-23 12:44:35 | cohorts | 3 | 134027 | 326 | 24.690 | 5428.4 |
| 477 | 2025-06-22 06:04:24 | cohorts | 1 | 69583 | 3 | 3.970 | 17527.2 |
| 476 | 2025-06-20 21:31:40 | cohorts | 1 | 69583 | 3 | 4.876 | 14270.5 |
| 475 | 2025-06-16 05:52:45 | cohorts | 1 | 69583 | 3 | 6.750 | 10308.6 |
| 474 | 2025-06-15 15:11:51 | cohorts | 3 | 134027 | 326 | 11.690 | 11465.1 |
| 473 | 2025-06-13 21:44:58 | cohorts | 3 | 134027 | 326 | 35.733 | 3750.8 |
| 472 | 2025-06-11 12:56:21 | cohorts | 1 | 69583 | 3 | 3.766 | 18476.6 |
| 471 | 2025-06-08 10:12:23 | cohorts | 1 | 69583 | 3 | 2.893 | 24052.2 |
| 470 | 2025-06-06 05:13:47 | cohorts | 2 | 107671 | 29 | 11.750 | 9163.5 |
| 469 | 2025-06-03 05:55:24 | cohorts | 2 | 107671 | 29 | 10.643 | 10116.6 |
| 468 | 2025-06-02 23:39:02 | cohorts | 3 | 134027 | 326 | 33.113 | 4047.6 |
| 467 | 2025-06-01 18:28:31 | cohorts | 1 | 69583 | 3 | 2.763 | 25183.9 |
| 466 | 2025-05-31 17:33:45 | cohorts | 2 | 107671 | 29 | 9.783 | 11005.9 |
| 465 | 2025-05-30 17:06:30 | cohorts | 1 | 69583 | 3 | 1.153 | 60349.5 |
| 464 | 2025-05-22 02:47:01 | cohorts | 3 | 134027 | 326 | 34.360 | 3900.7 |
| 463 | 2025-05-21 07:05:59 | cohorts | 1 | 69583 | 3 | 8.796 | 7910.8 |
| 462 | 2025-05-20 16:09:00 | cohorts | 3 | 134027 | 326 | 33.703 | 3976.7 |
| 461 | 2025-05-20 03:42:19 | cohorts | 3 | 134027 | 326 | 22.596 | 5931.4 |
| 460 | 2025-05-19 01:39:49 | cohorts | 3 | 134027 | 326 | 6.050 | 22153.2 |
| 459 | 2025-05-17 08:51:47 | cohorts | 3 | 134027 | 326 | 18.263 | 7338.7 |
| 458 | 2025-05-12 05:36:07 | cohorts | 1 | 69583 | 3 | 5.390 | 12909.6 |
| 457 | 2025-04-22 12:50:57 | cohorts | 2 | 107671 | 29 | 2.856 | 37699.9 |
| 456 | 2025-04-21 07:27:14 | cohorts | 2 | 107671 | 29 | 12.266 | 8778.0 |
| 455 | 2025-04-20 11:54:37 | cohorts | 3 | 134027 | 326 | 15.953 | 8401.4 |
| 454 | 2025-04-20 09:47:16 | cohorts | 1 | 69583 | 3 | 1.266 | 54962.9 |
| 453 | 2025-04-19 18:54:11 | cohorts | 1 | 69583 | 3 | 1.266 | 54962.9 |
| 452 | 2025-04-18 23:58:38 | cohorts | 3 | 134027 | 326 | 15.766 | 8501.0 |
| 451 | 2025-04-18 09:30:17 | cohorts | 1 | 69583 | 3 | 5.110 | 13617.0 |
| 450 | 2025-04-18 04:03:22 | cohorts | 2 | 107671 | 29 | 7.766 | 13864.4 |
| 449 | 2025-04-17 13:17:34 | cohorts | 2 | 107671 | 29 | 3.470 | 31029.1 |
| 448 | 2025-04-17 11:51:01 | cohorts | 3 | 134027 | 326 | 6.516 | 20568.9 |
| 447 | 2025-04-16 04:50:43 | cohorts | 1 | 69583 | 3 | 6.186 | 11248.5 |
| 446 | 2025-04-11 07:41:07 | cohorts | 1 | 69583 | 3 | 7.190 | 9677.7 |
| 445 | 2025-04-06 11:18:17 | cohorts | 1 | 69583 | 3 | 6.296 | 11051.9 |
| 444 | 2025-03-20 12:15:05 | cohorts | 1 | 69583 | 3 | 6.156 | 11303.3 |
| 443 | 2025-03-18 19:51:41 | cohorts | 1 | 69583 | 3 | 1.060 | 65644.3 |
| 442 | 2025-03-17 19:23:54 | cohorts | 1 | 69583 | 3 | 8.060 | 8633.1 |
| 441 | 2025-03-15 00:31:00 | cohorts | 1 | 69583 | 3 | 6.533 | 10651.0 |
| 440 | 2025-03-08 18:24:18 | cohorts | 1 | 69583 | 3 | 4.593 | 15149.8 |
| 439 | 2025-03-04 03:34:30 | cohorts | 1 | 69583 | 3 | 5.830 | 11935.3 |
| 438 | 2025-02-19 17:42:25 | cohorts | 1 | 69583 | 3 | 5.546 | 12546.5 |
| 437 | 2025-02-04 20:48:12 | cohorts | 1 | 69583 | 3 | 6.796 | 10238.8 |
| 436 | 2025-01-29 22:07:19 | cohorts | 1 | 69583 | 3 | 2.940 | 23667.7 |
| 435 | 2024-12-29 14:01:59 | cohorts | 1 | 69583 | 3 | 3.110 | 22374.0 |
| 434 | 2024-12-26 18:23:40 | cohorts | 1 | 69583 | 3 | 3.296 | 21111.3 |
| 433 | 2024-11-28 18:15:34 | cohorts | 1 | 69583 | 3 | 7.483 | 9298.8 |
| 432 | 2024-11-26 12:18:11 | cohorts | 1 | 69583 | 3 | 4.096 | 16988.0 |
| 431 | 2024-11-09 17:21:37 | cohorts | 1 | 69583 | 3 | 5.390 | 12909.6 |
| 430 | 2024-11-02 10:28:14 | cohorts | 1 | 69583 | 3 | 1.296 | 53690.6 |
| 429 | 2024-10-28 13:22:16 | cohorts | 1 | 69583 | 3 | 7.953 | 8749.3 |
| 428 | 2024-10-21 18:31:58 | cohorts | 3 | 134027 | 326 | 32.330 | 4145.6 |
| 427 | 2024-10-20 23:59:35 | cohorts | 3 | 134027 | 326 | 37.020 | 3620.4 |
| 426 | 2024-10-20 10:48:14 | cohorts | 3 | 134027 | 326 | 30.313 | 4421.4 |
| 425 | 2024-10-18 14:27:19 | cohorts | 3 | 134027 | 326 | 34.546 | 3879.7 |
| 424 | 2024-10-18 14:27:21 | cohorts | 2 | 107671 | 29 | 13.736 | 7838.6 |
| 423 | 2024-10-18 14:25:51 | cohorts | 1 | 69583 | 3 | 5.483 | 12690.7 |
| 422 | 2024-10-11 10:10:20 | cohorts | 1 | 69583 | 3 | 3.656 | 19032.5 |
| 421 | 2024-09-26 03:13:33 | cohorts | 1 | 69583 | 3 | 7.813 | 8906.1 |
| 420 | 2024-09-22 08:21:07 | cohorts | 1 | 69583 | 3 | 10.876 | 6397.8 |