History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"photometry"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 578 | 2025-10-20 19:13:41 | photometry | 4 | 161450 | 79 | 51.066 | 3161.6 |
| 577 | 2025-10-20 19:13:49 | photometry | 4 | 161450 | 79 | 42.753 | 3776.3 |
| 576 | 2025-10-20 14:40:37 | photometry | 1 | 67641 | 1 | 1.720 | 39326.2 |
| 575 | 2025-10-10 07:57:20 | photometry | 4 | 161450 | 79 | 11.296 | 14292.7 |
| 574 | 2025-10-06 11:57:47 | photometry | 1 | 67641 | 1 | 2.360 | 28661.4 |
| 573 | 2025-09-11 21:17:01 | photometry | 4 | 161450 | 79 | 11.423 | 14133.8 |
| 572 | 2025-09-09 14:12:30 | photometry | 3 | 140603 | 16 | 6.830 | 20586.1 |
| 571 | 2025-09-09 07:01:10 | photometry | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 570 | 2025-09-07 12:23:14 | photometry | 4 | 161450 | 79 | 13.750 | 11741.8 |
| 569 | 2025-08-28 17:49:18 | photometry | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 568 | 2025-08-28 16:04:26 | photometry | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 567 | 2025-08-26 18:02:59 | photometry | 4 | 161450 | 79 | 11.190 | 14428.1 |
| 566 | 2025-08-25 03:05:19 | photometry | 1 | 67641 | 1 | 5.750 | 11763.7 |
| 565 | 2025-08-23 00:29:28 | photometry | 4 | 161450 | 79 | 42.926 | 3761.1 |
| 564 | 2025-08-20 17:28:33 | photometry | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 563 | 2025-08-17 23:05:17 | photometry | 4 | 161450 | 79 | 29.080 | 5551.9 |
| 562 | 2025-08-17 23:05:16 | photometry | 4 | 161450 | 79 | 29.533 | 5466.8 |
| 561 | 2025-08-17 20:39:32 | photometry | 2 | 108824 | 4 | 7.733 | 14072.7 |
| 560 | 2025-08-16 20:19:16 | photometry | 2 | 108824 | 4 | 7.563 | 14389.0 |
| 559 | 2025-08-16 01:26:13 | photometry | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 558 | 2025-08-16 00:27:53 | photometry | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 557 | 2025-08-10 02:43:18 | photometry | 1 | 67641 | 1 | 2.423 | 27916.2 |
| 556 | 2025-08-09 08:43:19 | photometry | 1 | 67641 | 1 | 3.733 | 18119.7 |
| 555 | 2025-07-25 04:11:03 | photometry | 1 | 67641 | 1 | 2.860 | 23650.7 |
| 554 | 2025-07-24 05:02:41 | photometry | 1 | 67641 | 1 | 6.343 | 10663.9 |
| 553 | 2025-07-23 12:54:38 | photometry | 1 | 67641 | 1 | 5.310 | 12738.4 |
| 552 | 2025-07-22 16:37:19 | photometry | 1 | 67641 | 1 | 3.813 | 17739.6 |
| 551 | 2025-07-22 03:11:41 | photometry | 3 | 140603 | 16 | 5.953 | 23618.8 |
| 550 | 2025-07-15 05:42:34 | photometry | 1 | 67641 | 1 | 2.393 | 28266.2 |
| 549 | 2025-07-02 02:44:34 | photometry | 1 | 67641 | 1 | 4.360 | 15514.0 |
| 548 | 2025-06-26 08:58:28 | photometry | 1 | 67641 | 1 | 5.406 | 12512.2 |
| 547 | 2025-06-16 11:24:49 | photometry | 3 | 140603 | 16 | 29.316 | 4796.1 |
| 546 | 2025-06-16 06:42:12 | photometry | 3 | 140603 | 16 | 29.270 | 4803.7 |
| 545 | 2025-06-16 03:58:46 | photometry | 1 | 67641 | 1 | 2.690 | 25145.4 |
| 544 | 2025-06-12 06:35:07 | photometry | 3 | 140603 | 16 | 33.533 | 4193.0 |
| 543 | 2025-06-09 18:24:12 | photometry | 3 | 140603 | 16 | 6.686 | 21029.5 |
| 542 | 2025-06-06 00:02:32 | photometry | 2 | 108824 | 4 | 10.343 | 10521.5 |
| 541 | 2025-06-05 03:40:59 | photometry | 1 | 67641 | 1 | 5.516 | 12262.7 |
| 540 | 2025-05-27 23:43:27 | photometry | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 539 | 2025-05-14 10:16:42 | photometry | 3 | 140603 | 16 | 23.033 | 6104.4 |
| 538 | 2025-05-14 05:20:49 | photometry | 4 | 161450 | 79 | 44.893 | 3596.3 |
| 537 | 2025-05-11 23:29:21 | photometry | 4 | 161450 | 79 | 45.640 | 3537.5 |
| 536 | 2025-05-11 19:36:53 | photometry | 4 | 161450 | 79 | 11.483 | 14059.9 |
| 535 | 2025-05-09 07:11:27 | photometry | 4 | 161450 | 79 | 11.250 | 14351.1 |
| 534 | 2025-05-08 23:08:43 | photometry | 3 | 140603 | 16 | 6.923 | 20309.5 |
| 533 | 2025-05-07 20:42:51 | photometry | 2 | 108824 | 4 | 10.846 | 10033.6 |
| 532 | 2025-05-07 02:17:16 | photometry | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 531 | 2025-05-06 10:24:26 | photometry | 3 | 140603 | 16 | 16.670 | 8434.5 |
| 530 | 2025-05-06 03:16:00 | photometry | 2 | 108824 | 4 | 17.346 | 6273.7 |
| 529 | 2025-05-05 04:02:22 | photometry | 1 | 67641 | 1 | 3.390 | 19953.1 |
| 528 | 2025-05-04 20:38:23 | photometry | 1 | 67641 | 1 | 1.233 | 54858.9 |
| 527 | 2025-04-06 08:42:04 | photometry | 1 | 67641 | 1 | 2.750 | 24596.7 |
| 526 | 2025-04-04 08:34:31 | photometry | 1 | 67641 | 1 | 5.060 | 13367.8 |
| 525 | 2025-04-04 01:00:22 | photometry | 1 | 67641 | 1 | 5.813 | 11636.2 |
| 524 | 2025-03-31 05:29:56 | photometry | 1 | 67641 | 1 | 3.970 | 17038.0 |
| 523 | 2025-03-26 20:57:01 | photometry | 2 | 108824 | 4 | 12.646 | 8605.4 |
| 522 | 2025-03-26 03:48:05 | photometry | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 521 | 2025-03-25 04:50:56 | photometry | 1 | 67641 | 1 | 2.750 | 24596.7 |
| 520 | 2025-03-02 18:02:40 | photometry | 1 | 67641 | 1 | 5.173 | 13075.8 |
| 519 | 2025-02-15 03:16:33 | photometry | 3 | 140603 | 16 | 31.893 | 4408.6 |
| 518 | 2025-02-15 03:16:28 | photometry | 2 | 108824 | 4 | 30.063 | 3619.9 |
| 517 | 2025-02-15 03:15:26 | photometry | 1 | 67641 | 1 | 3.670 | 18430.8 |
| 516 | 2025-02-05 11:20:53 | photometry | 3 | 140603 | 16 | 37.313 | 3768.2 |
| 515 | 2025-02-05 11:20:50 | photometry | 2 | 108824 | 4 | 13.080 | 8319.9 |
| 514 | 2025-02-02 07:23:30 | photometry | 3 | 140603 | 16 | 44.720 | 3144.1 |
| 513 | 2025-02-02 07:23:43 | photometry | 2 | 108824 | 4 | 16.186 | 6723.3 |
| 512 | 2025-02-02 07:20:13 | photometry | 4 | 161450 | 79 | 60.293 | 2677.8 |
| 511 | 2025-02-02 07:08:52 | photometry | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 510 | 2025-02-01 22:20:13 | photometry | 4 | 161450 | 79 | 62.033 | 2602.6 |
| 509 | 2025-01-31 12:34:03 | photometry | 4 | 161450 | 79 | 77.880 | 2073.1 |
| 508 | 2025-01-30 10:48:16 | photometry | 1 | 67641 | 1 | 6.580 | 10279.8 |
| 507 | 2025-01-20 06:16:15 | photometry | 1 | 67641 | 1 | 7.300 | 9265.9 |
| 506 | 2025-01-13 23:54:57 | photometry | 4 | 161450 | 79 | 66.266 | 2436.4 |
| 505 | 2025-01-13 23:55:03 | photometry | 2 | 108824 | 4 | 7.923 | 13735.2 |
| 504 | 2025-01-13 23:53:33 | photometry | 1 | 67641 | 1 | 4.563 | 14823.8 |
| 503 | 2025-01-04 22:50:44 | photometry | 4 | 161450 | 79 | 50.066 | 3224.7 |
| 502 | 2025-01-03 06:15:48 | photometry | 4 | 161450 | 79 | 64.193 | 2515.1 |
| 501 | 2025-01-03 06:15:53 | photometry | 2 | 108824 | 4 | 22.813 | 4770.3 |
| 500 | 2025-01-03 06:12:41 | photometry | 1 | 67641 | 1 | 4.796 | 14103.6 |
| 499 | 2024-12-31 14:09:25 | photometry | 4 | 161450 | 79 | 66.410 | 2431.1 |
| 498 | 2024-12-28 04:27:34 | photometry | 4 | 161450 | 79 | 49.486 | 3262.5 |
| 497 | 2024-12-26 17:17:56 | photometry | 3 | 140603 | 16 | 25.690 | 5473.1 |
| 496 | 2024-12-26 05:18:04 | photometry | 1 | 67641 | 1 | 5.656 | 11959.2 |
| 495 | 2024-12-24 01:06:30 | photometry | 3 | 140603 | 16 | 31.936 | 4402.6 |
| 494 | 2024-12-20 23:35:07 | photometry | 3 | 140603 | 16 | 22.513 | 6245.4 |
| 493 | 2024-11-29 18:10:19 | photometry | 3 | 140603 | 16 | 31.320 | 4489.2 |
| 492 | 2024-11-29 18:10:13 | photometry | 2 | 108824 | 4 | 21.233 | 5125.2 |
| 491 | 2024-11-26 22:46:09 | photometry | 3 | 140603 | 16 | 29.453 | 4773.8 |
| 490 | 2024-11-26 22:46:12 | photometry | 2 | 108824 | 4 | 15.296 | 7114.5 |
| 489 | 2024-11-26 21:19:29 | photometry | 1 | 67641 | 1 | 1.030 | 65670.9 |
| 488 | 2024-11-25 22:40:05 | photometry | 3 | 140603 | 16 | 32.520 | 4323.6 |
| 487 | 2024-11-24 13:05:53 | photometry | 3 | 140603 | 16 | 47.656 | 2950.4 |
| 486 | 2024-11-24 13:05:52 | photometry | 2 | 108824 | 4 | 22.923 | 4747.4 |
| 485 | 2024-11-23 14:16:29 | photometry | 3 | 140603 | 16 | 31.283 | 4494.5 |
| 484 | 2024-11-23 09:02:59 | photometry | 4 | 161450 | 79 | 66.173 | 2439.8 |
| 483 | 2024-11-23 09:03:37 | photometry | 2 | 108824 | 4 | 23.173 | 4696.2 |
| 482 | 2024-11-23 09:03:23 | photometry | 3 | 140603 | 16 | 22.766 | 6176.0 |
| 481 | 2024-11-23 09:02:17 | photometry | 1 | 67641 | 1 | 6.280 | 10770.9 |
| 480 | 2024-11-19 08:14:25 | photometry | 4 | 161450 | 79 | 53.753 | 3003.6 |
| 479 | 2024-11-14 20:28:38 | photometry | 4 | 161450 | 79 | 57.066 | 2829.2 |