History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tensor"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 618 | 2025-04-26 23:00:13 | tensor | 3 | 112716 | 402 | 21.640 | 5208.7 |
| 617 | 2025-04-20 21:56:14 | tensor | 3 | 112716 | 402 | 25.070 | 4496.1 |
| 616 | 2025-04-20 14:24:58 | tensor | 1 | 48755 | 6 | 2.313 | 21078.7 |
| 615 | 2025-04-20 01:38:05 | tensor | 3 | 112716 | 402 | 26.686 | 4223.8 |
| 614 | 2025-04-14 10:24:43 | tensor | 1 | 48755 | 6 | 3.780 | 12898.1 |
| 613 | 2025-04-13 22:41:13 | tensor | 1 | 48755 | 6 | 4.203 | 11600.0 |
| 612 | 2025-03-31 07:13:48 | tensor | 1 | 48755 | 6 | 6.030 | 8085.4 |
| 611 | 2025-03-24 17:26:54 | tensor | 2 | 82551 | 38 | 2.516 | 32810.4 |
| 610 | 2025-03-20 18:57:42 | tensor | 1 | 48755 | 6 | 4.093 | 11911.8 |
| 609 | 2025-03-20 18:42:58 | tensor | 2 | 82551 | 38 | 13.110 | 6296.8 |
| 608 | 2025-03-19 23:36:37 | tensor | 3 | 112716 | 402 | 18.736 | 6016.0 |
| 607 | 2025-03-19 16:41:21 | tensor | 1 | 48755 | 6 | 0.733 | 66514.3 |
| 606 | 2025-03-18 13:10:25 | tensor | 1 | 48755 | 6 | 2.156 | 22613.6 |
| 605 | 2025-03-12 23:05:05 | tensor | 1 | 48755 | 6 | 4.423 | 11023.1 |
| 604 | 2025-03-12 17:30:20 | tensor | 1 | 48755 | 6 | 3.800 | 12830.3 |
| 603 | 2025-03-11 10:03:12 | tensor | 3 | 112716 | 402 | 23.533 | 4789.7 |
| 602 | 2025-03-11 08:33:54 | tensor | 3 | 112716 | 402 | 36.190 | 3114.6 |
| 601 | 2025-03-11 06:07:04 | tensor | 3 | 112716 | 402 | 28.033 | 4020.8 |
| 600 | 2025-03-01 04:07:12 | tensor | 3 | 112716 | 402 | 23.203 | 4857.8 |
| 599 | 2025-02-28 02:19:38 | tensor | 3 | 112716 | 402 | 12.796 | 8808.7 |
| 598 | 2025-02-28 00:36:24 | tensor | 1 | 48755 | 6 | 2.470 | 19738.9 |
| 597 | 2025-02-28 00:35:38 | tensor | 3 | 112716 | 402 | 17.233 | 6540.7 |
| 596 | 2025-02-28 00:35:32 | tensor | 2 | 82551 | 38 | 11.860 | 6960.5 |
| 595 | 2025-02-17 02:05:17 | tensor | 1 | 48755 | 6 | 3.530 | 13811.6 |
| 594 | 2025-02-14 22:46:47 | tensor | 1 | 48755 | 6 | 2.063 | 23633.1 |
| 593 | 2025-02-10 04:40:49 | tensor | 1 | 48755 | 6 | 5.530 | 8816.5 |
| 592 | 2025-02-09 07:25:40 | tensor | 1 | 48755 | 6 | 6.110 | 7979.5 |
| 591 | 2025-01-10 02:31:03 | tensor | 3 | 112716 | 402 | 30.220 | 3729.8 |
| 590 | 2025-01-10 02:22:54 | tensor | 1 | 48755 | 6 | 4.936 | 9877.4 |
| 589 | 2025-01-10 01:19:28 | tensor | 1 | 48755 | 6 | 4.373 | 11149.1 |
| 588 | 2025-01-09 22:36:10 | tensor | 1 | 48755 | 6 | 1.733 | 28133.3 |
| 587 | 2025-01-09 16:52:03 | tensor | 3 | 112716 | 402 | 19.173 | 5878.9 |
| 586 | 2025-01-09 16:50:20 | tensor | 2 | 82551 | 38 | 10.436 | 7910.2 |
| 585 | 2025-01-09 16:13:36 | tensor | 3 | 112716 | 402 | 7.140 | 15786.6 |
| 584 | 2025-01-09 16:13:37 | tensor | 2 | 82551 | 38 | 2.690 | 30688.1 |
| 583 | 2024-12-28 22:48:28 | tensor | 1 | 48755 | 6 | 4.546 | 10724.8 |
| 582 | 2024-12-10 17:21:32 | tensor | 1 | 48755 | 6 | 1.923 | 25353.6 |
| 581 | 2024-12-10 16:48:13 | tensor | 2 | 82551 | 38 | 9.626 | 8575.8 |
| 580 | 2024-12-10 14:16:08 | tensor | 2 | 82551 | 38 | 12.736 | 6481.7 |
| 579 | 2024-12-10 04:44:33 | tensor | 1 | 48755 | 6 | 1.763 | 27654.6 |
| 578 | 2024-12-10 04:19:38 | tensor | 2 | 82551 | 38 | 6.206 | 13301.8 |
| 577 | 2024-12-10 04:19:06 | tensor | 3 | 112716 | 402 | 5.656 | 19928.6 |
| 576 | 2024-12-10 01:19:53 | tensor | 3 | 112716 | 402 | 29.406 | 3833.1 |
| 575 | 2024-12-10 00:00:36 | tensor | 3 | 112716 | 402 | 28.203 | 3996.6 |
| 574 | 2024-12-10 00:00:34 | tensor | 2 | 82551 | 38 | 13.296 | 6208.7 |
| 573 | 2024-12-10 00:00:05 | tensor | 1 | 48755 | 6 | 1.970 | 24748.7 |
| 572 | 2024-11-28 09:54:37 | tensor | 1 | 48755 | 6 | 3.920 | 12437.5 |
| 571 | 2024-11-11 00:23:31 | tensor | 3 | 112716 | 402 | 39.393 | 2861.3 |
| 570 | 2024-11-09 07:49:20 | tensor | 2 | 82551 | 38 | 17.503 | 4716.4 |
| 569 | 2024-11-09 06:38:48 | tensor | 1 | 48755 | 6 | 5.186 | 9401.3 |
| 568 | 2024-11-09 04:03:32 | tensor | 3 | 112716 | 402 | 24.390 | 4621.4 |
| 567 | 2024-11-09 02:08:51 | tensor | 1 | 48755 | 6 | 0.750 | 65006.7 |
| 566 | 2024-11-08 16:39:45 | tensor | 2 | 82551 | 38 | 18.766 | 4399.0 |
| 565 | 2024-11-08 12:50:45 | tensor | 3 | 112716 | 402 | 14.906 | 7561.8 |
| 564 | 2024-11-08 00:35:00 | tensor | 3 | 112716 | 402 | 19.610 | 5747.9 |
| 563 | 2024-11-08 00:35:02 | tensor | 2 | 82551 | 38 | 8.153 | 10125.2 |
| 562 | 2024-11-08 00:28:43 | tensor | 1 | 48755 | 6 | 0.783 | 62266.9 |
| 561 | 2024-10-29 02:48:18 | tensor | 1 | 48755 | 6 | 4.346 | 11218.4 |
| 560 | 2024-10-09 23:54:10 | tensor | 1 | 48755 | 6 | 1.750 | 27860.0 |
| 559 | 2024-10-09 13:29:59 | tensor | 1 | 48755 | 6 | 2.250 | 21668.9 |
| 558 | 2024-10-09 08:45:31 | tensor | 2 | 82551 | 38 | 18.423 | 4480.9 |
| 557 | 2024-10-09 08:42:18 | tensor | 3 | 112716 | 402 | 28.240 | 3991.4 |
| 556 | 2024-10-09 04:23:50 | tensor | 3 | 112716 | 402 | 14.656 | 7690.8 |
| 555 | 2024-10-09 01:49:23 | tensor | 2 | 82551 | 38 | 8.096 | 10196.5 |
| 554 | 2024-10-08 18:25:14 | tensor | 3 | 112716 | 402 | 20.860 | 5403.5 |
| 553 | 2024-10-08 18:25:13 | tensor | 2 | 82551 | 38 | 11.296 | 7308.0 |
| 552 | 2024-10-08 18:25:08 | tensor | 1 | 48755 | 6 | 1.766 | 27607.6 |
| 551 | 2024-09-28 23:44:07 | tensor | 1 | 48755 | 6 | 4.296 | 11348.9 |
| 550 | 2024-09-10 05:14:25 | tensor | 3 | 112716 | 402 | 38.346 | 2939.4 |
| 549 | 2024-09-08 15:00:33 | tensor | 3 | 112716 | 402 | 30.236 | 3727.9 |
| 548 | 2024-09-08 12:52:06 | tensor | 2 | 82551 | 38 | 19.203 | 4298.9 |
| 547 | 2024-09-08 12:52:02 | tensor | 1 | 48755 | 6 | 4.080 | 11949.8 |
| 546 | 2024-09-08 12:40:54 | tensor | 3 | 112716 | 402 | 7.190 | 15676.8 |
| 545 | 2024-09-08 08:04:44 | tensor | 3 | 112716 | 402 | 49.060 | 2297.5 |
| 544 | 2024-09-08 08:04:45 | tensor | 2 | 82551 | 38 | 25.373 | 3253.5 |
| 543 | 2024-09-08 08:03:03 | tensor | 1 | 48755 | 6 | 2.686 | 18151.5 |
| 542 | 2024-09-07 03:56:12 | tensor | 1 | 48755 | 6 | 2.906 | 16777.4 |
| 541 | 2024-08-29 21:59:55 | tensor | 1 | 48755 | 6 | 4.140 | 11776.6 |
| 540 | 2024-08-29 15:11:49 | tensor | 1 | 48755 | 6 | 2.953 | 16510.3 |
| 539 | 2024-08-15 07:11:52 | tensor | 1 | 48755 | 6 | 2.983 | 16344.3 |
| 538 | 2024-08-13 16:34:45 | tensor | 1 | 48755 | 6 | 7.153 | 6816.0 |
| 537 | 2024-08-04 21:34:25 | tensor | 2 | 82551 | 38 | 10.906 | 7569.3 |
| 536 | 2024-08-04 21:34:18 | tensor | 1 | 48755 | 6 | 1.750 | 27860.0 |
| 535 | 2024-08-01 10:30:49 | tensor | 1 | 48755 | 6 | 4.876 | 9999.0 |
| 534 | 2024-07-30 23:37:10 | tensor | 1 | 48755 | 6 | 3.106 | 15697.0 |
| 533 | 2024-07-30 22:55:27 | tensor | 1 | 48755 | 6 | 1.500 | 32503.3 |
| 532 | 2024-07-30 22:49:29 | tensor | 1 | 48755 | 6 | 0.936 | 52088.7 |
| 531 | 2024-07-30 09:20:29 | tensor | 1 | 48755 | 6 | 2.500 | 19502.0 |
| 530 | 2024-07-29 18:41:45 | tensor | 1 | 48755 | 6 | 1.063 | 45865.5 |
| 529 | 2024-07-29 15:26:19 | tensor | 1 | 48755 | 6 | 0.860 | 56691.9 |
| 528 | 2024-07-19 21:09:34 | tensor | 1 | 48755 | 6 | 3.233 | 15080.4 |
| 527 | 2024-07-17 00:55:28 | tensor | 3 | 112716 | 402 | 17.706 | 6366.0 |
| 526 | 2024-07-16 21:42:24 | tensor | 3 | 112716 | 402 | 20.890 | 5395.7 |
| 525 | 2024-07-14 21:35:56 | tensor | 3 | 112716 | 402 | 22.126 | 5094.3 |
| 524 | 2024-07-10 10:30:16 | tensor | 1 | 48755 | 6 | 1.813 | 26891.9 |
| 523 | 2024-07-04 21:51:58 | tensor | 1 | 48755 | 6 | 3.283 | 14850.7 |
| 522 | 2024-07-04 21:33:28 | tensor | 1 | 48755 | 6 | 2.733 | 17839.4 |
| 521 | 2024-07-04 21:33:19 | tensor | 1 | 48755 | 6 | 3.046 | 16006.2 |
| 520 | 2024-07-04 21:25:43 | tensor | 1 | 48755 | 6 | 2.953 | 16510.3 |
| 519 | 2024-07-02 01:09:38 | tensor | 3 | 112716 | 402 | 21.266 | 5300.3 |