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 |
| 501 | 2024-04-03 10:25:50 | tensor | 1 | 48755 | 6 | 2.170 | 22467.7 |
| 500 | 2024-04-01 01:17:34 | tensor | 3 | 112716 | 402 | 12.906 | 8733.6 |
| 499 | 2024-03-29 21:35:01 | tensor | 1 | 48755 | 6 | 2.173 | 22436.7 |
| 498 | 2024-03-29 20:55:57 | tensor | 3 | 112716 | 402 | 8.140 | 13847.2 |
| 497 | 2024-03-29 20:54:27 | tensor | 3 | 112716 | 402 | 6.483 | 17386.4 |
| 496 | 2024-03-29 20:54:14 | tensor | 2 | 82551 | 38 | 5.203 | 15866.0 |
| 495 | 2024-03-28 19:49:05 | tensor | 2 | 82551 | 38 | 8.686 | 9503.9 |
| 494 | 2024-03-28 18:01:20 | tensor | 1 | 48755 | 6 | 3.016 | 16165.5 |
| 493 | 2024-03-28 18:01:02 | tensor | 2 | 82551 | 38 | 5.780 | 14282.2 |
| 492 | 2024-03-28 18:01:00 | tensor | 1 | 48755 | 6 | 1.313 | 37132.5 |
| 491 | 2024-03-04 09:38:47 | tensor | 3 | 112716 | 402 | 18.703 | 6026.6 |
| 490 | 2024-03-04 03:04:04 | tensor | 2 | 82551 | 38 | 2.656 | 31080.9 |
| 489 | 2024-03-04 03:03:57 | tensor | 3 | 112716 | 402 | 5.716 | 19719.4 |
| 488 | 2024-03-04 03:03:48 | tensor | 1 | 48755 | 6 | 1.690 | 28849.1 |
| 487 | 2024-02-28 05:46:49 | tensor | 1 | 48755 | 6 | 2.670 | 18260.3 |
| 486 | 2024-02-24 09:22:27 | tensor | 1 | 48755 | 6 | 0.766 | 63648.8 |
| 485 | 2024-01-29 06:30:58 | tensor | 2 | 82551 | 38 | 2.156 | 38289.0 |
| 484 | 2024-01-29 06:08:18 | tensor | 3 | 112716 | 402 | 5.860 | 19234.8 |
| 483 | 2024-01-27 08:02:39 | tensor | 2 | 82551 | 38 | 2.186 | 37763.5 |
| 482 | 2024-01-27 08:02:27 | tensor | 3 | 112716 | 402 | 6.123 | 18408.6 |
| 481 | 2024-01-27 08:02:27 | tensor | 3 | 112716 | 402 | 5.796 | 19447.2 |
| 480 | 2024-01-15 00:38:58 | tensor | 3 | 112716 | 402 | 5.690 | 19809.5 |
| 479 | 2024-01-07 20:52:35 | tensor | 2 | 82551 | 38 | 2.686 | 30733.8 |
| 478 | 2023-12-30 10:11:03 | tensor | 2 | 82551 | 38 | 2.200 | 37523.2 |
| 477 | 2023-12-07 12:54:28 | tensor | 1 | 48755 | 6 | 0.763 | 63899.1 |
| 476 | 2023-12-04 22:52:44 | tensor | 1 | 48755 | 6 | 0.733 | 66514.3 |
| 475 | 2023-12-03 19:14:18 | tensor | 1 | 48755 | 6 | 0.733 | 66514.3 |
| 474 | 2023-12-03 03:02:45 | tensor | 3 | 112716 | 402 | 7.000 | 16102.3 |
| 473 | 2023-11-20 01:39:22 | tensor | 1 | 48755 | 6 | 0.780 | 62506.4 |
| 472 | 2023-11-11 20:38:08 | tensor | 1 | 48755 | 6 | 0.750 | 65006.7 |
| 471 | 2023-11-07 04:54:33 | tensor | 1 | 48755 | 6 | 0.843 | 57835.1 |
| 470 | 2023-10-30 16:11:05 | tensor | 1 | 48755 | 6 | 0.890 | 54780.9 |
| 469 | 2023-10-24 14:05:13 | tensor | 3 | 112716 | 402 | 4.670 | 24136.2 |
| 468 | 2023-10-15 09:43:33 | tensor | 2 | 82551 | 38 | 2.106 | 39198.0 |
| 467 | 2023-10-13 15:53:45 | tensor | 1 | 48755 | 6 | 0.763 | 63899.1 |
| 466 | 2023-09-25 00:28:13 | tensor | 1 | 48755 | 6 | 0.860 | 56691.9 |
| 465 | 2023-09-19 18:22:05 | tensor | 1 | 48755 | 6 | 0.826 | 59025.4 |
| 464 | 2023-09-14 11:05:29 | tensor | 1 | 48755 | 6 | 0.840 | 58041.7 |
| 463 | 2023-08-14 07:12:22 | tensor | 3 | 112716 | 402 | 5.153 | 21873.9 |
| 462 | 2023-08-03 01:02:36 | tensor | 3 | 112716 | 402 | 4.796 | 23502.1 |
| 461 | 2023-07-27 09:19:20 | tensor | 2 | 82551 | 38 | 2.280 | 36206.6 |
| 460 | 2023-07-23 10:25:11 | tensor | 1 | 48755 | 6 | 0.750 | 65006.7 |
| 459 | 2023-07-11 23:24:24 | tensor | 1 | 48755 | 6 | 0.813 | 59969.2 |
| 458 | 2023-06-05 17:47:17 | tensor | 3 | 112716 | 402 | 5.156 | 21861.1 |
| 457 | 2023-06-01 17:42:21 | tensor | 3 | 112716 | 402 | 4.813 | 23419.1 |
| 456 | 2023-05-28 17:23:18 | tensor | 1 | 48755 | 6 | 0.763 | 63899.1 |
| 455 | 2023-04-24 17:59:44 | tensor | 3 | 112716 | 402 | 5.643 | 19974.5 |
| 454 | 2023-04-23 18:36:55 | tensor | 3 | 112716 | 402 | 5.236 | 21527.1 |
| 453 | 2023-04-22 07:09:59 | tensor | 3 | 112716 | 402 | 5.313 | 21215.1 |
| 452 | 2023-04-21 09:21:49 | tensor | 3 | 112716 | 402 | 5.046 | 22337.7 |
| 451 | 2023-04-20 07:11:27 | tensor | 3 | 112716 | 402 | 5.640 | 19985.1 |
| 450 | 2023-04-19 14:20:03 | tensor | 3 | 112716 | 402 | 5.546 | 20323.8 |
| 449 | 2023-04-18 20:08:56 | tensor | 3 | 112716 | 402 | 5.390 | 20912.1 |
| 448 | 2023-04-17 20:58:34 | tensor | 3 | 112716 | 402 | 4.686 | 24053.8 |
| 447 | 2023-04-17 19:19:17 | tensor | 1 | 48755 | 6 | 0.733 | 66514.3 |
| 446 | 2023-04-09 04:33:57 | tensor | 3 | 112716 | 402 | 4.983 | 22620.1 |
| 445 | 2023-04-06 16:42:26 | tensor | 2 | 82551 | 38 | 2.143 | 38521.2 |
| 444 | 2023-03-24 06:23:08 | tensor | 1 | 48755 | 6 | 0.750 | 65006.7 |
| 443 | 2023-02-11 08:09:42 | tensor | 1 | 48755 | 6 | 0.766 | 63648.8 |
| 442 | 2023-02-10 03:18:38 | tensor | 1 | 48755 | 6 | 0.733 | 66514.3 |
| 441 | 2023-01-16 07:23:51 | tensor | 3 | 112716 | 402 | 4.876 | 23116.5 |
| 440 | 2023-01-11 14:26:22 | tensor | 3 | 112716 | 402 | 5.376 | 20966.5 |
| 439 | 2023-01-01 12:16:55 | tensor | 2 | 82551 | 38 | 2.093 | 39441.5 |
| 438 | 2022-12-24 05:35:41 | tensor | 3 | 112716 | 402 | 4.670 | 24136.2 |
| 437 | 2022-12-22 15:45:16 | tensor | 1 | 48755 | 6 | 0.750 | 65006.7 |
| 436 | 2022-12-10 06:46:34 | tensor | 1 | 48755 | 6 | 0.733 | 66514.3 |
| 435 | 2022-11-25 23:43:59 | tensor | 1 | 48755 | 6 | 0.796 | 61250.0 |
| 434 | 2022-11-19 10:05:16 | tensor | 1 | 48755 | 6 | 0.763 | 63899.1 |
| 433 | 2022-11-18 18:29:28 | tensor | 3 | 112716 | 402 | 5.826 | 19347.1 |
| 432 | 2022-11-13 17:20:35 | tensor | 3 | 112716 | 402 | 5.440 | 20719.9 |
| 431 | 2022-11-11 12:06:24 | tensor | 1 | 48755 | 6 | 0.750 | 65006.7 |
| 430 | 2022-11-06 16:10:39 | tensor | 1 | 48755 | 6 | 0.750 | 65006.7 |
| 429 | 2022-11-06 16:10:37 | tensor | 1 | 48755 | 6 | 0.750 | 65006.7 |
| 428 | 2022-11-06 16:10:36 | tensor | 1 | 48755 | 6 | 0.750 | 65006.7 |
| 427 | 2022-10-03 14:19:12 | tensor | 3 | 112716 | 402 | 4.750 | 23729.7 |
| 426 | 2022-09-16 04:47:46 | tensor | 3 | 112716 | 402 | 6.046 | 18643.1 |
| 425 | 2022-09-15 08:53:40 | tensor | 3 | 112716 | 402 | 5.436 | 20735.1 |
| 424 | 2022-09-14 06:20:54 | tensor | 3 | 112716 | 402 | 5.673 | 19868.9 |
| 423 | 2022-09-13 17:55:24 | tensor | 3 | 112716 | 402 | 5.360 | 21029.1 |
| 422 | 2022-09-12 05:04:53 | tensor | 3 | 112716 | 402 | 5.733 | 19660.9 |
| 421 | 2022-09-11 05:53:57 | tensor | 3 | 112716 | 402 | 5.906 | 19085.0 |
| 420 | 2022-09-10 14:42:38 | tensor | 3 | 112716 | 402 | 5.530 | 20382.6 |
| 419 | 2022-09-09 05:02:03 | tensor | 3 | 112716 | 402 | 5.656 | 19928.6 |
| 418 | 2022-09-08 14:10:57 | tensor | 3 | 112716 | 402 | 5.410 | 20834.8 |
| 417 | 2022-09-07 04:37:38 | tensor | 3 | 112716 | 402 | 5.626 | 20034.8 |
| 416 | 2022-09-06 05:59:20 | tensor | 3 | 112716 | 402 | 5.720 | 19705.6 |
| 415 | 2022-09-05 06:46:21 | tensor | 3 | 112716 | 402 | 5.780 | 19501.0 |
| 414 | 2022-09-04 06:33:16 | tensor | 3 | 112716 | 402 | 5.453 | 20670.5 |
| 413 | 2022-09-03 07:12:05 | tensor | 2 | 82551 | 38 | 2.360 | 34979.2 |
| 412 | 2022-09-03 04:35:05 | tensor | 3 | 112716 | 402 | 6.563 | 17174.5 |
| 411 | 2022-09-02 08:14:22 | tensor | 3 | 112716 | 402 | 5.983 | 18839.4 |
| 410 | 2022-09-01 03:36:36 | tensor | 3 | 112716 | 402 | 5.686 | 19823.4 |
| 409 | 2022-08-31 15:50:29 | tensor | 3 | 112716 | 402 | 4.780 | 23580.8 |
| 408 | 2022-08-30 13:22:06 | tensor | 3 | 112716 | 402 | 5.800 | 19433.8 |
| 407 | 2022-08-29 06:47:48 | tensor | 3 | 112716 | 402 | 5.563 | 20261.7 |
| 406 | 2022-08-28 16:35:46 | tensor | 3 | 112716 | 402 | 5.720 | 19705.6 |
| 405 | 2022-08-27 03:43:23 | tensor | 3 | 112716 | 402 | 5.690 | 19809.5 |
| 404 | 2022-08-26 05:06:53 | tensor | 3 | 112716 | 402 | 11.436 | 9856.2 |
| 403 | 2022-08-25 03:16:40 | tensor | 3 | 112716 | 402 | 5.986 | 18829.9 |
| 402 | 2022-08-24 08:51:52 | tensor | 3 | 112716 | 402 | 9.423 | 11961.8 |