History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"axialities"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 490 | 2025-11-05 02:00:51 | axialities | 4 | 161450 | 305 | 16.720 | 9656.1 |
| 489 | 2025-11-03 17:36:44 | axialities | 4 | 161450 | 305 | 10.360 | 15584.0 |
| 488 | 2025-11-02 20:26:34 | axialities | 3 | 140603 | 71 | 6.390 | 22003.6 |
| 487 | 2025-11-02 17:36:18 | axialities | 4 | 161450 | 305 | 11.156 | 14472.0 |
| 486 | 2025-11-02 11:16:41 | axialities | 2 | 108824 | 8 | 2.966 | 36690.5 |
| 485 | 2025-11-01 23:02:54 | axialities | 3 | 140603 | 71 | 12.453 | 11290.7 |
| 484 | 2025-11-01 17:21:19 | axialities | 4 | 161450 | 305 | 11.796 | 13686.8 |
| 483 | 2025-11-01 01:24:52 | axialities | 4 | 161450 | 305 | 11.236 | 14369.0 |
| 482 | 2025-10-31 15:01:15 | axialities | 2 | 108824 | 8 | 2.920 | 37268.5 |
| 481 | 2025-10-31 15:01:08 | axialities | 3 | 140603 | 71 | 6.266 | 22439.0 |
| 480 | 2025-10-23 13:44:53 | axialities | 1 | 67641 | 1 | 5.123 | 13203.4 |
| 479 | 2025-10-01 11:45:21 | axialities | 1 | 67641 | 1 | 1.046 | 64666.3 |
| 478 | 2025-09-28 03:42:50 | axialities | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 477 | 2025-09-24 05:48:55 | axialities | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 476 | 2025-08-27 06:02:56 | axialities | 1 | 67641 | 1 | 1.030 | 65670.9 |
| 475 | 2025-08-17 12:19:21 | axialities | 1 | 67641 | 1 | 2.733 | 24749.7 |
| 474 | 2025-08-11 19:54:34 | axialities | 3 | 140603 | 71 | 37.503 | 3749.1 |
| 473 | 2025-08-09 00:20:40 | axialities | 1 | 67641 | 1 | 5.076 | 13325.7 |
| 472 | 2025-08-08 13:38:10 | axialities | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 471 | 2025-08-06 19:15:18 | axialities | 4 | 161450 | 305 | 56.470 | 2859.0 |
| 470 | 2025-08-06 12:27:57 | axialities | 3 | 140603 | 71 | 23.330 | 6026.7 |
| 469 | 2025-08-04 10:25:53 | axialities | 1 | 67641 | 1 | 2.983 | 22675.5 |
| 468 | 2025-08-02 00:08:59 | axialities | 3 | 140603 | 71 | 15.126 | 9295.5 |
| 467 | 2025-08-01 21:09:06 | axialities | 1 | 67641 | 1 | 2.986 | 22652.7 |
| 466 | 2025-08-01 19:11:39 | axialities | 1 | 67641 | 1 | 3.013 | 22449.7 |
| 465 | 2025-07-31 00:53:50 | axialities | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 464 | 2025-07-28 01:00:20 | axialities | 2 | 108824 | 8 | 14.500 | 7505.1 |
| 463 | 2025-07-27 23:59:59 | axialities | 3 | 140603 | 71 | 27.534 | 5106.5 |
| 462 | 2025-07-26 03:23:52 | axialities | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 461 | 2025-07-21 11:54:46 | axialities | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 460 | 2025-07-17 17:03:39 | axialities | 1 | 67641 | 1 | 2.876 | 23519.1 |
| 459 | 2025-07-12 22:47:28 | axialities | 1 | 67641 | 1 | 4.956 | 13648.3 |
| 458 | 2025-07-06 12:00:57 | axialities | 1 | 67641 | 1 | 1.046 | 64666.3 |
| 457 | 2025-07-04 23:56:42 | axialities | 1 | 67641 | 1 | 3.046 | 22206.5 |
| 456 | 2025-06-30 09:32:57 | axialities | 1 | 67641 | 1 | 7.170 | 9433.9 |
| 455 | 2025-06-16 02:40:35 | axialities | 1 | 67641 | 1 | 8.720 | 7757.0 |
| 454 | 2025-06-14 13:29:57 | axialities | 1 | 67641 | 1 | 5.186 | 13043.0 |
| 453 | 2025-06-14 07:01:28 | axialities | 1 | 67641 | 1 | 5.313 | 12731.2 |
| 452 | 2025-06-11 23:35:24 | axialities | 1 | 67641 | 1 | 3.390 | 19953.1 |
| 451 | 2025-06-10 02:12:31 | axialities | 1 | 67641 | 1 | 5.360 | 12619.6 |
| 450 | 2025-06-03 23:14:21 | axialities | 1 | 67641 | 1 | 3.596 | 18810.1 |
| 449 | 2025-05-31 18:40:20 | axialities | 1 | 67641 | 1 | 3.203 | 21118.0 |
| 448 | 2025-05-30 22:43:03 | axialities | 1 | 67641 | 1 | 4.483 | 15088.3 |
| 447 | 2025-05-30 09:09:05 | axialities | 1 | 67641 | 1 | 3.703 | 18266.5 |
| 446 | 2025-05-27 11:37:23 | axialities | 1 | 67641 | 1 | 5.360 | 12619.6 |
| 445 | 2025-05-14 12:46:46 | axialities | 1 | 67641 | 1 | 5.016 | 13485.0 |
| 444 | 2025-05-08 07:29:31 | axialities | 1 | 67641 | 1 | 3.186 | 21230.7 |
| 443 | 2025-04-26 09:37:41 | axialities | 1 | 67641 | 1 | 7.376 | 9170.4 |
| 442 | 2025-04-22 22:33:35 | axialities | 1 | 67641 | 1 | 5.390 | 12549.4 |
| 441 | 2025-04-09 12:02:13 | axialities | 1 | 67641 | 1 | 5.436 | 12443.2 |
| 440 | 2025-04-06 05:58:31 | axialities | 1 | 67641 | 1 | 5.376 | 12582.0 |
| 439 | 2025-04-04 03:23:20 | axialities | 1 | 67641 | 1 | 5.250 | 12884.0 |
| 438 | 2025-03-31 03:34:44 | axialities | 1 | 67641 | 1 | 4.173 | 16209.2 |
| 437 | 2025-03-29 13:53:50 | axialities | 2 | 108824 | 8 | 13.343 | 8155.9 |
| 436 | 2025-03-27 23:57:30 | axialities | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 435 | 2025-03-22 06:41:27 | axialities | 3 | 140603 | 71 | 47.766 | 2943.6 |
| 434 | 2025-03-21 12:04:34 | axialities | 1 | 67641 | 1 | 4.796 | 14103.6 |
| 433 | 2025-03-20 16:39:13 | axialities | 1 | 67641 | 1 | 2.673 | 25305.3 |
| 432 | 2025-03-17 02:52:10 | axialities | 3 | 140603 | 71 | 44.643 | 3149.5 |
| 431 | 2025-03-06 03:09:14 | axialities | 1 | 67641 | 1 | 3.033 | 22301.7 |
| 430 | 2025-03-04 20:30:26 | axialities | 3 | 140603 | 71 | 38.033 | 3696.9 |
| 429 | 2025-02-20 21:37:40 | axialities | 2 | 108824 | 8 | 14.316 | 7601.6 |
| 428 | 2025-02-20 21:37:29 | axialities | 3 | 140603 | 71 | 19.080 | 7369.1 |
| 427 | 2025-02-20 21:35:05 | axialities | 1 | 67641 | 1 | 2.466 | 27429.4 |
| 426 | 2025-02-18 10:08:04 | axialities | 1 | 67641 | 1 | 2.903 | 23300.4 |
| 425 | 2025-02-16 13:05:43 | axialities | 3 | 140603 | 71 | 32.736 | 4295.1 |
| 424 | 2025-02-15 05:18:49 | axialities | 3 | 140603 | 71 | 29.140 | 4825.1 |
| 423 | 2025-02-15 04:15:41 | axialities | 3 | 140603 | 71 | 33.440 | 4204.6 |
| 422 | 2025-02-15 04:15:34 | axialities | 2 | 108824 | 8 | 7.343 | 14820.1 |
| 421 | 2025-02-15 04:13:34 | axialities | 1 | 67641 | 1 | 5.330 | 12690.6 |
| 420 | 2025-02-03 00:40:56 | axialities | 1 | 67641 | 1 | 5.376 | 12582.0 |
| 419 | 2025-01-15 20:23:54 | axialities | 1 | 67641 | 1 | 2.750 | 24596.7 |
| 418 | 2024-12-31 13:27:24 | axialities | 1 | 67641 | 1 | 2.563 | 26391.3 |
| 417 | 2024-12-23 11:21:11 | axialities | 1 | 67641 | 1 | 5.533 | 12225.0 |
| 416 | 2024-12-17 13:49:15 | axialities | 3 | 140603 | 71 | 45.956 | 3059.5 |
| 415 | 2024-12-16 04:19:46 | axialities | 2 | 108824 | 8 | 15.033 | 7239.0 |
| 414 | 2024-12-16 00:20:03 | axialities | 3 | 140603 | 71 | 36.533 | 3848.7 |
| 413 | 2024-12-14 15:07:57 | axialities | 3 | 140603 | 71 | 31.656 | 4441.6 |
| 412 | 2024-12-13 17:53:48 | axialities | 3 | 140603 | 71 | 33.220 | 4232.5 |
| 411 | 2024-12-13 17:53:42 | axialities | 3 | 140603 | 71 | 28.830 | 4877.0 |
| 410 | 2024-12-13 17:53:44 | axialities | 2 | 108824 | 8 | 9.533 | 11415.5 |
| 409 | 2024-12-13 17:53:32 | axialities | 1 | 67641 | 1 | 3.750 | 18037.6 |
| 408 | 2024-11-11 21:49:44 | axialities | 1 | 67641 | 1 | 8.110 | 8340.4 |
| 407 | 2024-11-10 21:19:54 | axialities | 3 | 140603 | 71 | 33.220 | 4232.5 |
| 406 | 2024-11-10 09:51:42 | axialities | 1 | 67641 | 1 | 6.720 | 10065.6 |
| 405 | 2024-11-09 00:21:34 | axialities | 3 | 140603 | 71 | 40.766 | 3449.0 |
| 404 | 2024-11-05 18:48:54 | axialities | 3 | 140603 | 71 | 32.016 | 4391.6 |
| 403 | 2024-11-05 18:48:58 | axialities | 2 | 108824 | 8 | 13.750 | 7914.5 |
| 402 | 2024-11-05 18:48:23 | axialities | 3 | 140603 | 71 | 33.033 | 4256.4 |
| 401 | 2024-11-05 18:45:26 | axialities | 1 | 67641 | 1 | 1.343 | 50365.6 |
| 400 | 2024-10-30 13:08:26 | axialities | 1 | 67641 | 1 | 1.033 | 65480.2 |
| 399 | 2024-10-05 03:36:19 | axialities | 1 | 67641 | 1 | 8.470 | 7986.0 |
| 398 | 2024-10-04 01:19:32 | axialities | 1 | 67641 | 1 | 7.533 | 8979.3 |
| 397 | 2024-09-14 19:58:32 | axialities | 1 | 67641 | 1 | 9.376 | 7214.3 |
| 396 | 2024-09-03 21:49:36 | axialities | 1 | 67641 | 1 | 7.126 | 9492.1 |
| 395 | 2024-09-03 07:05:24 | axialities | 3 | 140603 | 71 | 55.363 | 2539.7 |
| 394 | 2024-09-02 10:06:27 | axialities | 3 | 140603 | 71 | 53.643 | 2621.1 |
| 393 | 2024-08-29 20:55:32 | axialities | 1 | 67641 | 1 | 7.783 | 8690.9 |
| 392 | 2024-08-26 06:44:32 | axialities | 3 | 140603 | 71 | 24.156 | 5820.6 |
| 391 | 2024-08-25 16:10:04 | axialities | 1 | 67641 | 1 | 9.686 | 6983.4 |