History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"affinities"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 572 | 2025-11-03 21:22:23 | affinities | 4 | 161450 | 233 | 11.953 | 13507.1 |
| 571 | 2025-11-02 13:11:03 | affinities | 4 | 161450 | 233 | 11.753 | 13736.9 |
| 570 | 2025-11-01 07:03:25 | affinities | 1 | 67641 | 1 | 1.046 | 64666.3 |
| 569 | 2025-10-30 02:44:44 | affinities | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 568 | 2025-10-29 01:05:36 | affinities | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 567 | 2025-10-27 09:46:54 | affinities | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 566 | 2025-10-26 10:08:25 | affinities | 4 | 161450 | 233 | 9.780 | 16508.2 |
| 565 | 2025-10-21 18:07:48 | affinities | 4 | 161450 | 233 | 60.426 | 2671.9 |
| 564 | 2025-10-21 18:07:25 | affinities | 4 | 161450 | 233 | 63.986 | 2523.2 |
| 563 | 2025-10-21 18:07:06 | affinities | 4 | 161450 | 233 | 56.300 | 2867.7 |
| 562 | 2025-10-21 18:06:43 | affinities | 4 | 161450 | 233 | 55.160 | 2926.9 |
| 561 | 2025-10-14 02:28:39 | affinities | 2 | 108824 | 3 | 3.390 | 32101.5 |
| 560 | 2025-10-11 02:57:46 | affinities | 4 | 161450 | 233 | 11.063 | 14593.7 |
| 559 | 2025-09-29 17:43:58 | affinities | 1 | 67641 | 1 | 1.030 | 65670.9 |
| 558 | 2025-09-24 10:34:06 | affinities | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 557 | 2025-09-22 14:33:55 | affinities | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 556 | 2025-09-22 03:42:19 | affinities | 1 | 67641 | 1 | 1.250 | 54112.8 |
| 555 | 2025-09-21 11:47:39 | affinities | 2 | 108824 | 3 | 4.186 | 25997.1 |
| 554 | 2025-09-19 00:52:30 | affinities | 3 | 140603 | 37 | 5.343 | 26315.4 |
| 553 | 2025-09-16 17:35:19 | affinities | 3 | 140603 | 37 | 5.190 | 27091.1 |
| 552 | 2025-08-30 22:01:30 | affinities | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 551 | 2025-08-28 02:07:11 | affinities | 1 | 67641 | 1 | 1.153 | 58665.2 |
| 550 | 2025-08-25 03:05:04 | affinities | 1 | 67641 | 1 | 5.093 | 13281.2 |
| 549 | 2025-08-18 02:32:42 | affinities | 1 | 67641 | 1 | 2.766 | 24454.4 |
| 548 | 2025-08-17 10:08:35 | affinities | 1 | 67641 | 1 | 2.343 | 28869.4 |
| 547 | 2025-08-14 19:07:24 | affinities | 4 | 161450 | 233 | 16.970 | 9513.8 |
| 546 | 2025-08-13 15:49:53 | affinities | 4 | 161450 | 233 | 11.156 | 14472.0 |
| 545 | 2025-08-08 23:19:33 | affinities | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 544 | 2025-08-01 17:08:45 | affinities | 1 | 67641 | 1 | 5.503 | 12291.7 |
| 543 | 2025-07-28 12:08:46 | affinities | 4 | 161450 | 233 | 51.843 | 3114.2 |
| 542 | 2025-07-27 03:54:00 | affinities | 4 | 161450 | 233 | 34.346 | 4700.7 |
| 541 | 2025-07-26 03:45:48 | affinities | 1 | 67641 | 1 | 7.780 | 8694.2 |
| 540 | 2025-07-25 04:54:31 | affinities | 1 | 67641 | 1 | 4.470 | 15132.2 |
| 539 | 2025-07-25 02:57:50 | affinities | 4 | 161450 | 233 | 38.236 | 4222.5 |
| 538 | 2025-07-24 19:02:01 | affinities | 1 | 67641 | 1 | 3.093 | 21869.1 |
| 537 | 2025-07-24 07:13:26 | affinities | 1 | 67641 | 1 | 6.516 | 10380.8 |
| 536 | 2025-07-24 05:39:33 | affinities | 1 | 67641 | 1 | 4.250 | 15915.5 |
| 535 | 2025-07-20 13:55:56 | affinities | 4 | 161450 | 233 | 10.186 | 15850.2 |
| 534 | 2025-07-17 15:11:29 | affinities | 1 | 67641 | 1 | 5.343 | 12659.7 |
| 533 | 2025-07-12 22:24:56 | affinities | 2 | 108824 | 3 | 6.030 | 18047.1 |
| 532 | 2025-07-09 23:41:47 | affinities | 2 | 108824 | 3 | 7.876 | 13817.2 |
| 531 | 2025-07-09 19:58:04 | affinities | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 530 | 2025-07-07 09:49:28 | affinities | 2 | 108824 | 3 | 12.360 | 8804.5 |
| 529 | 2025-06-23 16:11:24 | affinities | 1 | 67641 | 1 | 2.360 | 28661.4 |
| 528 | 2025-06-18 07:01:49 | affinities | 1 | 67641 | 1 | 4.500 | 15031.3 |
| 527 | 2025-06-10 15:24:45 | affinities | 1 | 67641 | 1 | 2.920 | 23164.7 |
| 526 | 2025-06-10 03:44:39 | affinities | 1 | 67641 | 1 | 7.266 | 9309.2 |
| 525 | 2025-06-06 14:39:01 | affinities | 4 | 161450 | 233 | 45.176 | 3573.8 |
| 524 | 2025-06-04 06:42:32 | affinities | 2 | 108824 | 3 | 12.813 | 8493.2 |
| 523 | 2025-06-04 03:20:47 | affinities | 4 | 161450 | 233 | 39.643 | 4072.6 |
| 522 | 2025-06-03 03:17:44 | affinities | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 521 | 2025-05-29 02:37:54 | affinities | 1 | 67641 | 1 | 6.860 | 9860.2 |
| 520 | 2025-05-26 12:20:35 | affinities | 1 | 67641 | 1 | 5.250 | 12884.0 |
| 519 | 2025-05-22 14:31:09 | affinities | 1 | 67641 | 1 | 5.953 | 11362.5 |
| 518 | 2025-05-15 06:36:52 | affinities | 1 | 67641 | 1 | 2.436 | 27767.2 |
| 517 | 2025-05-13 03:03:50 | affinities | 1 | 67641 | 1 | 4.876 | 13872.2 |
| 516 | 2025-05-11 16:02:03 | affinities | 1 | 67641 | 1 | 1.013 | 66773.0 |
| 515 | 2025-05-08 03:26:28 | affinities | 1 | 67641 | 1 | 5.970 | 11330.2 |
| 514 | 2025-05-01 21:35:20 | affinities | 1 | 67641 | 1 | 5.313 | 12731.2 |
| 513 | 2025-04-23 10:20:57 | affinities | 1 | 67641 | 1 | 5.983 | 11305.5 |
| 512 | 2025-04-23 03:40:32 | affinities | 1 | 67641 | 1 | 6.876 | 9837.3 |
| 511 | 2025-04-22 13:01:23 | affinities | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 510 | 2025-04-09 01:45:14 | affinities | 3 | 140603 | 37 | 28.643 | 4908.8 |
| 509 | 2025-04-08 06:11:34 | affinities | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 508 | 2025-04-06 02:34:31 | affinities | 3 | 140603 | 37 | 31.016 | 4533.2 |
| 507 | 2025-04-04 03:28:33 | affinities | 1 | 67641 | 1 | 5.986 | 11299.9 |
| 506 | 2025-04-02 21:03:35 | affinities | 3 | 140603 | 37 | 30.423 | 4621.6 |
| 505 | 2025-03-30 19:32:23 | affinities | 3 | 140603 | 37 | 26.266 | 5353.0 |
| 504 | 2025-03-23 12:04:45 | affinities | 1 | 67641 | 1 | 4.873 | 13880.8 |
| 503 | 2025-02-28 13:46:57 | affinities | 1 | 67641 | 1 | 8.143 | 8306.6 |
| 502 | 2025-02-22 19:25:02 | affinities | 3 | 140603 | 37 | 22.733 | 6185.0 |
| 501 | 2025-02-22 09:43:13 | affinities | 3 | 140603 | 37 | 28.986 | 4850.7 |
| 500 | 2025-02-22 09:43:16 | affinities | 2 | 108824 | 3 | 9.860 | 11036.9 |
| 499 | 2025-02-22 09:38:40 | affinities | 1 | 67641 | 1 | 3.220 | 21006.5 |
| 498 | 2025-02-18 10:07:19 | affinities | 1 | 67641 | 1 | 5.296 | 12772.1 |
| 497 | 2025-02-17 12:41:45 | affinities | 3 | 140603 | 37 | 30.750 | 4572.5 |
| 496 | 2025-02-16 10:42:34 | affinities | 3 | 140603 | 37 | 31.393 | 4478.8 |
| 495 | 2025-02-15 04:56:58 | affinities | 3 | 140603 | 37 | 26.563 | 5293.2 |
| 494 | 2025-02-14 11:39:26 | affinities | 3 | 140603 | 37 | 43.740 | 3214.5 |
| 493 | 2025-02-14 11:39:49 | affinities | 3 | 140603 | 37 | 18.156 | 7744.2 |
| 492 | 2025-02-14 11:39:45 | affinities | 2 | 108824 | 3 | 18.093 | 6014.7 |
| 491 | 2025-02-14 11:36:02 | affinities | 1 | 67641 | 1 | 3.546 | 19075.3 |
| 490 | 2025-02-10 21:16:27 | affinities | 1 | 67641 | 1 | 8.093 | 8358.0 |
| 489 | 2025-01-17 05:27:02 | affinities | 2 | 108824 | 3 | 17.890 | 6083.0 |
| 488 | 2025-01-17 05:23:53 | affinities | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 487 | 2025-01-16 00:57:05 | affinities | 3 | 140603 | 37 | 30.483 | 4612.5 |
| 486 | 2025-01-12 23:36:06 | affinities | 3 | 140603 | 37 | 34.266 | 4103.3 |
| 485 | 2025-01-11 09:16:56 | affinities | 2 | 108824 | 3 | 14.550 | 7479.3 |
| 484 | 2025-01-11 09:16:42 | affinities | 1 | 67641 | 1 | 5.406 | 12512.2 |
| 483 | 2025-01-11 09:15:03 | affinities | 3 | 140603 | 37 | 29.843 | 4711.4 |
| 482 | 2025-01-10 20:40:34 | affinities | 3 | 140603 | 37 | 23.953 | 5870.0 |
| 481 | 2025-01-09 08:33:11 | affinities | 3 | 140603 | 37 | 39.016 | 3603.7 |
| 480 | 2025-01-08 21:47:59 | affinities | 4 | 161450 | 233 | 50.853 | 3174.8 |
| 479 | 2025-01-08 21:48:34 | affinities | 2 | 108824 | 3 | 12.113 | 8984.1 |
| 478 | 2025-01-08 21:48:00 | affinities | 3 | 140603 | 37 | 29.456 | 4773.3 |
| 477 | 2025-01-08 21:47:37 | affinities | 1 | 67641 | 1 | 6.453 | 10482.1 |
| 476 | 2025-01-04 06:37:29 | affinities | 1 | 67641 | 1 | 8.326 | 8124.1 |
| 475 | 2024-12-06 01:59:42 | affinities | 1 | 67641 | 1 | 3.283 | 20603.4 |
| 474 | 2024-12-05 14:51:15 | affinities | 3 | 140603 | 37 | 26.720 | 5262.1 |
| 473 | 2024-12-04 18:25:17 | affinities | 3 | 140603 | 37 | 38.596 | 3642.9 |