History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"biannually"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 440 | 2025-11-05 04:49:55 | biannually | 5 | 173545 | 441 | 17.563 | 9881.3 |
| 439 | 2025-11-05 00:18:21 | biannually | 3 | 140603 | 13 | 6.263 | 22449.8 |
| 438 | 2025-11-01 15:46:58 | biannually | 5 | 173545 | 441 | 20.283 | 8556.2 |
| 437 | 2025-10-27 08:25:50 | biannually | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 436 | 2025-10-20 15:59:36 | biannually | 1 | 67641 | 1 | 3.360 | 20131.3 |
| 435 | 2025-10-20 15:59:17 | biannually | 1 | 67641 | 1 | 6.203 | 10904.6 |
| 434 | 2025-10-20 15:58:44 | biannually | 1 | 67641 | 1 | 5.390 | 12549.4 |
| 433 | 2025-10-20 15:58:06 | biannually | 1 | 67641 | 1 | 5.830 | 11602.2 |
| 432 | 2025-09-26 06:32:48 | biannually | 1 | 67641 | 1 | 1.096 | 61716.2 |
| 431 | 2025-09-23 00:46:41 | biannually | 4 | 161450 | 71 | 11.173 | 14450.0 |
| 430 | 2025-09-07 13:47:01 | biannually | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 429 | 2025-09-04 09:27:48 | biannually | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 428 | 2025-08-21 16:17:20 | biannually | 1 | 67641 | 1 | 2.436 | 27767.2 |
| 427 | 2025-08-17 22:00:51 | biannually | 1 | 67641 | 1 | 2.766 | 24454.4 |
| 426 | 2025-08-16 05:49:07 | biannually | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 425 | 2025-07-25 05:28:13 | biannually | 1 | 67641 | 1 | 2.876 | 23519.1 |
| 424 | 2025-07-24 18:42:02 | biannually | 1 | 67641 | 1 | 6.830 | 9903.5 |
| 423 | 2025-07-23 16:53:08 | biannually | 4 | 161450 | 71 | 54.610 | 2956.4 |
| 422 | 2025-07-23 08:59:34 | biannually | 1 | 67641 | 1 | 4.250 | 15915.5 |
| 421 | 2025-07-22 14:28:54 | biannually | 4 | 161450 | 71 | 26.533 | 6084.9 |
| 420 | 2025-07-18 16:45:47 | biannually | 1 | 67641 | 1 | 5.373 | 12589.1 |
| 419 | 2025-07-17 20:17:31 | biannually | 4 | 161450 | 71 | 57.690 | 2798.6 |
| 418 | 2025-06-27 16:10:27 | biannually | 1 | 67641 | 1 | 2.453 | 27574.8 |
| 417 | 2025-06-18 11:41:25 | biannually | 1 | 67641 | 1 | 3.063 | 22083.3 |
| 416 | 2025-06-12 03:20:41 | biannually | 4 | 161450 | 71 | 66.583 | 2424.8 |
| 415 | 2025-06-08 04:52:59 | biannually | 4 | 161450 | 71 | 53.003 | 3046.1 |
| 414 | 2025-06-07 08:00:06 | biannually | 4 | 161450 | 71 | 22.893 | 7052.4 |
| 413 | 2025-05-31 19:28:27 | biannually | 4 | 161450 | 71 | 43.423 | 3718.1 |
| 412 | 2025-05-30 00:06:56 | biannually | 1 | 67641 | 1 | 3.296 | 20522.1 |
| 411 | 2025-05-30 00:02:00 | biannually | 4 | 161450 | 71 | 10.126 | 15944.1 |
| 410 | 2025-05-28 10:36:55 | biannually | 4 | 161450 | 71 | 52.033 | 3102.8 |
| 409 | 2025-05-24 17:19:26 | biannually | 4 | 161450 | 71 | 59.423 | 2717.0 |
| 408 | 2025-05-18 16:43:40 | biannually | 4 | 161450 | 71 | 63.333 | 2549.2 |
| 407 | 2025-05-17 16:07:32 | biannually | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 406 | 2025-05-13 21:56:29 | biannually | 1 | 67641 | 1 | 5.546 | 12196.4 |
| 405 | 2025-04-14 12:20:48 | biannually | 1 | 67641 | 1 | 5.453 | 12404.4 |
| 404 | 2025-04-10 17:41:33 | biannually | 2 | 108824 | 5 | 3.233 | 33660.4 |
| 403 | 2025-03-30 18:07:07 | biannually | 4 | 161450 | 71 | 53.443 | 3021.0 |
| 402 | 2025-03-30 05:52:03 | biannually | 4 | 161450 | 71 | 21.113 | 7646.9 |
| 401 | 2025-03-27 14:23:58 | biannually | 4 | 161450 | 71 | 60.410 | 2672.6 |
| 400 | 2025-03-26 20:38:45 | biannually | 4 | 161450 | 71 | 56.890 | 2837.9 |
| 399 | 2025-03-25 18:39:39 | biannually | 4 | 161450 | 71 | 50.910 | 3171.3 |
| 398 | 2025-03-24 16:31:23 | biannually | 3 | 140603 | 13 | 6.173 | 22777.1 |
| 397 | 2025-03-24 12:03:35 | biannually | 2 | 108824 | 5 | 7.843 | 13875.3 |
| 396 | 2025-03-22 07:27:43 | biannually | 1 | 67641 | 1 | 5.483 | 12336.5 |
| 395 | 2025-03-13 14:01:29 | biannually | 2 | 108824 | 5 | 14.063 | 7738.3 |
| 394 | 2025-03-13 14:00:45 | biannually | 1 | 67641 | 1 | 2.550 | 26525.9 |
| 393 | 2025-03-13 12:59:42 | biannually | 3 | 140603 | 13 | 25.500 | 5513.8 |
| 392 | 2025-03-11 13:26:59 | biannually | 2 | 108824 | 5 | 16.173 | 6728.7 |
| 391 | 2025-03-11 12:00:07 | biannually | 1 | 67641 | 1 | 5.393 | 12542.4 |
| 390 | 2025-03-10 14:44:46 | biannually | 1 | 67641 | 1 | 1.106 | 61158.2 |
| 389 | 2025-03-05 12:26:53 | biannually | 1 | 67641 | 1 | 5.406 | 12512.2 |
| 388 | 2025-03-01 21:51:29 | biannually | 1 | 67641 | 1 | 2.580 | 26217.4 |
| 387 | 2025-02-17 04:49:28 | biannually | 4 | 161450 | 71 | 65.350 | 2470.5 |
| 386 | 2025-02-12 16:16:45 | biannually | 4 | 161450 | 71 | 37.520 | 4303.0 |
| 385 | 2025-02-12 12:03:04 | biannually | 4 | 161450 | 71 | 61.563 | 2622.5 |
| 384 | 2025-02-11 10:52:32 | biannually | 4 | 161450 | 71 | 62.943 | 2565.0 |
| 383 | 2025-02-03 16:54:06 | biannually | 2 | 108824 | 5 | 11.916 | 9132.6 |
| 382 | 2025-02-02 19:08:12 | biannually | 1 | 67641 | 1 | 3.640 | 18582.7 |
| 381 | 2025-02-02 18:28:54 | biannually | 2 | 108824 | 5 | 11.720 | 9285.3 |
| 380 | 2025-02-02 18:28:00 | biannually | 4 | 161450 | 71 | 56.986 | 2833.2 |
| 379 | 2025-02-02 18:26:57 | biannually | 1 | 67641 | 1 | 5.826 | 11610.2 |
| 378 | 2025-01-23 20:49:46 | biannually | 1 | 67641 | 1 | 2.606 | 25955.9 |
| 377 | 2025-01-22 23:45:31 | biannually | 3 | 140603 | 13 | 23.330 | 6026.7 |
| 376 | 2025-01-22 19:55:19 | biannually | 3 | 140603 | 13 | 32.373 | 4343.2 |
| 375 | 2025-01-22 19:55:20 | biannually | 2 | 108824 | 5 | 18.686 | 5823.8 |
| 374 | 2025-01-21 17:50:01 | biannually | 3 | 140603 | 13 | 28.033 | 5015.6 |
| 373 | 2025-01-21 17:50:04 | biannually | 2 | 108824 | 5 | 15.530 | 7007.3 |
| 372 | 2025-01-21 17:48:21 | biannually | 4 | 161450 | 71 | 54.813 | 2945.5 |
| 371 | 2025-01-21 17:44:58 | biannually | 1 | 67641 | 1 | 2.796 | 24192.1 |
| 370 | 2025-01-19 20:49:02 | biannually | 4 | 161450 | 71 | 44.456 | 3631.7 |
| 369 | 2025-01-13 04:10:00 | biannually | 4 | 161450 | 71 | 55.833 | 2891.7 |
| 368 | 2025-01-12 01:50:19 | biannually | 4 | 161450 | 71 | 67.756 | 2382.8 |
| 367 | 2025-01-11 12:04:24 | biannually | 4 | 161450 | 71 | 61.960 | 2605.7 |
| 366 | 2025-01-11 10:20:52 | biannually | 4 | 161450 | 71 | 55.886 | 2888.9 |
| 365 | 2025-01-11 05:46:52 | biannually | 4 | 161450 | 71 | 45.330 | 3561.7 |
| 364 | 2025-01-02 14:21:15 | biannually | 2 | 108824 | 5 | 15.776 | 6898.1 |
| 363 | 2025-01-02 14:20:47 | biannually | 3 | 140603 | 13 | 23.230 | 6052.6 |
| 362 | 2025-01-02 14:18:26 | biannually | 1 | 67641 | 1 | 2.576 | 26258.2 |
| 361 | 2024-12-24 20:55:31 | biannually | 3 | 140603 | 13 | 29.863 | 4708.3 |
| 360 | 2024-12-23 09:43:39 | biannually | 3 | 140603 | 13 | 30.503 | 4609.5 |
| 359 | 2024-12-21 18:37:50 | biannually | 3 | 140603 | 13 | 28.140 | 4996.6 |
| 358 | 2024-12-21 06:53:42 | biannually | 1 | 67641 | 1 | 4.953 | 13656.6 |
| 357 | 2024-12-20 01:08:32 | biannually | 3 | 140603 | 13 | 34.766 | 4044.3 |
| 356 | 2024-12-20 01:08:30 | biannually | 2 | 108824 | 5 | 13.126 | 8290.7 |
| 355 | 2024-12-10 09:24:16 | biannually | 1 | 67641 | 1 | 5.123 | 13203.4 |
| 354 | 2024-12-09 20:25:28 | biannually | 4 | 161450 | 71 | 63.266 | 2551.9 |
| 353 | 2024-12-05 22:01:48 | biannually | 4 | 161450 | 71 | 80.113 | 2015.3 |
| 352 | 2024-12-05 04:29:15 | biannually | 4 | 161450 | 71 | 56.003 | 2882.9 |
| 351 | 2024-11-19 09:28:08 | biannually | 3 | 140603 | 13 | 18.126 | 7757.0 |
| 350 | 2024-11-08 18:49:44 | biannually | 1 | 67641 | 1 | 0.983 | 68810.8 |
| 349 | 2024-11-07 15:05:45 | biannually | 3 | 140603 | 13 | 24.236 | 5801.4 |
| 348 | 2024-11-07 15:05:49 | biannually | 2 | 108824 | 5 | 15.283 | 7120.6 |
| 347 | 2024-11-07 12:59:35 | biannually | 1 | 67641 | 1 | 5.216 | 12968.0 |
| 346 | 2024-11-04 21:00:29 | biannually | 1 | 67641 | 1 | 4.920 | 13748.2 |
| 345 | 2024-11-04 05:00:30 | biannually | 1 | 67641 | 1 | 5.473 | 12359.0 |
| 344 | 2024-11-01 19:27:06 | biannually | 3 | 140603 | 13 | 38.393 | 3662.2 |
| 343 | 2024-11-01 06:21:44 | biannually | 3 | 140603 | 13 | 40.066 | 3509.3 |
| 342 | 2024-11-01 06:21:36 | biannually | 2 | 108824 | 5 | 7.923 | 13735.2 |
| 341 | 2024-10-29 20:09:34 | biannually | 3 | 140603 | 13 | 26.270 | 5352.2 |