History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"subseries"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 456 | 2025-10-16 23:52:50 | subseries | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 455 | 2025-10-10 08:32:16 | subseries | 1 | 81242 | 3 | 1.423 | 57092.1 |
| 454 | 2025-10-07 14:50:41 | subseries | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 453 | 2025-10-05 07:33:21 | subseries | 1 | 81242 | 3 | 1.300 | 62493.8 |
| 452 | 2025-10-04 15:44:32 | subseries | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 451 | 2025-10-01 04:22:27 | subseries | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 450 | 2025-09-29 15:55:43 | subseries | 1 | 81242 | 3 | 1.466 | 55417.5 |
| 449 | 2025-09-29 07:56:52 | subseries | 1 | 81242 | 3 | 1.470 | 55266.7 |
| 448 | 2025-09-29 02:30:10 | subseries | 1 | 81242 | 3 | 1.423 | 57092.1 |
| 447 | 2025-09-23 15:29:59 | subseries | 1 | 81242 | 3 | 1.283 | 63321.9 |
| 446 | 2025-09-20 03:09:36 | subseries | 2 | 121436 | 18 | 3.126 | 38847.1 |
| 445 | 2025-09-06 14:15:08 | subseries | 1 | 81242 | 3 | 1.420 | 57212.7 |
| 444 | 2025-09-04 18:07:49 | subseries | 1 | 81242 | 3 | 1.513 | 53696.0 |
| 443 | 2025-09-04 09:27:36 | subseries | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 442 | 2025-09-03 16:15:37 | subseries | 1 | 81242 | 3 | 1.300 | 62493.8 |
| 441 | 2025-08-29 16:04:27 | subseries | 1 | 81242 | 3 | 1.310 | 62016.8 |
| 440 | 2025-08-12 12:50:19 | subseries | 1 | 81242 | 3 | 2.983 | 27235.0 |
| 439 | 2025-08-09 15:25:10 | subseries | 1 | 81242 | 3 | 7.796 | 10421.0 |
| 438 | 2025-08-05 19:31:04 | subseries | 3 | 148641 | 128 | 34.860 | 4263.9 |
| 437 | 2025-08-05 17:20:34 | subseries | 3 | 148641 | 128 | 18.436 | 8062.5 |
| 436 | 2025-08-05 16:33:48 | subseries | 3 | 148641 | 128 | 19.110 | 7778.2 |
| 435 | 2025-08-04 08:00:53 | subseries | 1 | 81242 | 3 | 6.796 | 11954.4 |
| 434 | 2025-08-01 15:33:25 | subseries | 1 | 81242 | 3 | 3.093 | 26266.4 |
| 433 | 2025-08-01 14:07:38 | subseries | 1 | 81242 | 3 | 6.873 | 11820.5 |
| 432 | 2025-07-31 21:43:46 | subseries | 1 | 81242 | 3 | 9.766 | 8318.9 |
| 431 | 2025-07-27 21:26:41 | subseries | 2 | 121436 | 18 | 8.780 | 13831.0 |
| 430 | 2025-07-27 12:53:27 | subseries | 3 | 148641 | 128 | 30.363 | 4895.5 |
| 429 | 2025-07-27 01:02:25 | subseries | 1 | 81242 | 3 | 5.250 | 15474.7 |
| 428 | 2025-07-24 18:23:48 | subseries | 2 | 121436 | 18 | 15.436 | 7867.1 |
| 427 | 2025-07-23 22:12:02 | subseries | 1 | 81242 | 3 | 5.516 | 14728.4 |
| 426 | 2025-07-22 09:31:02 | subseries | 1 | 81242 | 3 | 1.330 | 61084.2 |
| 425 | 2025-07-18 17:19:14 | subseries | 1 | 81242 | 3 | 8.780 | 9253.1 |
| 424 | 2025-07-16 18:06:35 | subseries | 1 | 81242 | 3 | 1.546 | 52549.8 |
| 423 | 2025-07-16 05:15:13 | subseries | 1 | 81242 | 3 | 3.656 | 22221.6 |
| 422 | 2025-07-11 20:36:05 | subseries | 3 | 148641 | 128 | 24.580 | 6047.2 |
| 421 | 2025-07-11 00:55:40 | subseries | 2 | 121436 | 18 | 10.936 | 11104.2 |
| 420 | 2025-07-10 07:36:01 | subseries | 3 | 148641 | 128 | 27.610 | 5383.6 |
| 419 | 2025-07-05 08:09:22 | subseries | 1 | 81242 | 3 | 10.720 | 7578.5 |
| 418 | 2025-07-02 07:59:48 | subseries | 1 | 81242 | 3 | 7.046 | 11530.2 |
| 417 | 2025-06-30 18:35:24 | subseries | 1 | 81242 | 3 | 3.440 | 23616.9 |
| 416 | 2025-06-29 11:46:44 | subseries | 1 | 81242 | 3 | 6.210 | 13082.4 |
| 415 | 2025-06-26 00:36:04 | subseries | 1 | 81242 | 3 | 5.733 | 14170.9 |
| 414 | 2025-06-24 19:14:32 | subseries | 1 | 81242 | 3 | 1.373 | 59171.2 |
| 413 | 2025-06-24 08:33:55 | subseries | 1 | 81242 | 3 | 4.483 | 18122.2 |
| 412 | 2025-06-18 08:26:28 | subseries | 1 | 81242 | 3 | 4.773 | 17021.2 |
| 411 | 2025-06-16 17:01:12 | subseries | 1 | 81242 | 3 | 4.436 | 18314.2 |
| 410 | 2025-06-15 22:00:07 | subseries | 1 | 81242 | 3 | 3.860 | 21047.2 |
| 409 | 2025-06-12 23:07:19 | subseries | 1 | 81242 | 3 | 3.420 | 23755.0 |
| 408 | 2025-06-09 14:18:23 | subseries | 1 | 81242 | 3 | 1.390 | 58447.5 |
| 407 | 2025-06-09 04:04:28 | subseries | 1 | 81242 | 3 | 1.423 | 57092.1 |
| 406 | 2025-05-30 11:44:38 | subseries | 1 | 81242 | 3 | 4.673 | 17385.4 |
| 405 | 2025-05-25 08:11:00 | subseries | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 404 | 2025-05-24 03:09:11 | subseries | 3 | 148641 | 128 | 40.360 | 3682.9 |
| 403 | 2025-05-22 17:36:51 | subseries | 1 | 81242 | 3 | 6.173 | 13160.9 |
| 402 | 2025-05-22 11:58:14 | subseries | 3 | 148641 | 128 | 39.910 | 3724.4 |
| 401 | 2025-05-22 05:37:24 | subseries | 3 | 148641 | 128 | 30.660 | 4848.0 |
| 400 | 2025-05-20 15:06:43 | subseries | 1 | 81242 | 3 | 5.920 | 13723.3 |
| 399 | 2025-05-18 17:22:34 | subseries | 3 | 148641 | 128 | 38.303 | 3880.7 |
| 398 | 2025-05-18 01:37:48 | subseries | 2 | 121436 | 18 | 16.066 | 7558.6 |
| 397 | 2025-05-17 07:36:02 | subseries | 1 | 81242 | 3 | 1.266 | 64172.2 |
| 396 | 2025-05-12 16:40:31 | subseries | 1 | 81242 | 3 | 6.780 | 11982.6 |
| 395 | 2025-05-11 03:05:11 | subseries | 1 | 81242 | 3 | 1.500 | 54161.3 |
| 394 | 2025-05-02 06:58:03 | subseries | 1 | 81242 | 3 | 8.470 | 9591.7 |
| 393 | 2025-04-27 03:44:30 | subseries | 1 | 81242 | 3 | 1.423 | 57092.1 |
| 392 | 2025-04-23 03:46:46 | subseries | 1 | 81242 | 3 | 3.483 | 23325.3 |
| 391 | 2025-04-23 00:19:30 | subseries | 1 | 81242 | 3 | 6.843 | 11872.3 |
| 390 | 2025-04-04 14:49:28 | subseries | 1 | 81242 | 3 | 6.576 | 12354.3 |
| 389 | 2025-03-23 08:57:57 | subseries | 1 | 81242 | 3 | 3.390 | 23965.2 |
| 388 | 2025-03-22 01:22:47 | subseries | 1 | 81242 | 3 | 6.296 | 12903.7 |
| 387 | 2025-03-07 07:28:09 | subseries | 2 | 121436 | 18 | 18.673 | 6503.3 |
| 386 | 2025-03-07 05:08:11 | subseries | 2 | 121436 | 18 | 26.703 | 4547.7 |
| 385 | 2025-03-07 05:01:59 | subseries | 1 | 81242 | 3 | 8.220 | 9883.5 |
| 384 | 2025-03-06 14:53:22 | subseries | 1 | 81242 | 3 | 7.033 | 11551.5 |
| 383 | 2025-03-06 14:51:57 | subseries | 3 | 148641 | 128 | 46.720 | 3181.5 |
| 382 | 2025-03-06 14:51:56 | subseries | 2 | 121436 | 18 | 13.923 | 8722.0 |
| 381 | 2025-03-06 08:42:35 | subseries | 2 | 121436 | 18 | 13.890 | 8742.7 |
| 380 | 2025-03-05 21:25:21 | subseries | 3 | 148641 | 128 | 35.110 | 4233.6 |
| 379 | 2025-03-05 18:59:50 | subseries | 3 | 148641 | 128 | 54.046 | 2750.3 |
| 378 | 2025-03-05 01:36:59 | subseries | 2 | 121436 | 18 | 20.826 | 5831.0 |
| 377 | 2025-03-05 01:36:36 | subseries | 1 | 81242 | 3 | 4.423 | 18368.1 |
| 376 | 2025-03-03 15:47:08 | subseries | 3 | 148641 | 128 | 44.343 | 3352.1 |
| 375 | 2025-02-23 23:52:22 | subseries | 3 | 148641 | 128 | 35.006 | 4246.2 |
| 374 | 2025-02-12 23:44:59 | subseries | 1 | 81242 | 3 | 5.126 | 15849.0 |
| 373 | 2025-02-04 15:49:59 | subseries | 2 | 121436 | 18 | 14.893 | 8153.9 |
| 372 | 2025-02-03 19:27:29 | subseries | 2 | 121436 | 18 | 17.030 | 7130.7 |
| 371 | 2025-02-03 19:22:54 | subseries | 1 | 81242 | 3 | 5.453 | 14898.6 |
| 370 | 2025-02-03 19:20:55 | subseries | 3 | 148641 | 128 | 36.580 | 4063.4 |
| 369 | 2025-02-02 22:15:01 | subseries | 3 | 148641 | 128 | 51.536 | 2884.2 |
| 368 | 2025-01-31 23:50:43 | subseries | 2 | 121436 | 18 | 25.360 | 4788.5 |
| 367 | 2025-01-31 22:29:19 | subseries | 3 | 148641 | 128 | 25.800 | 5761.3 |
| 366 | 2025-01-30 07:30:42 | subseries | 3 | 148641 | 128 | 19.753 | 7525.0 |
| 365 | 2025-01-30 07:30:37 | subseries | 2 | 121436 | 18 | 14.533 | 8355.9 |
| 364 | 2025-01-30 07:28:15 | subseries | 1 | 81242 | 3 | 5.670 | 14328.4 |
| 363 | 2025-01-22 16:54:54 | subseries | 3 | 148641 | 128 | 29.406 | 5054.8 |
| 362 | 2025-01-02 13:22:07 | subseries | 2 | 121436 | 18 | 15.326 | 7923.5 |
| 361 | 2025-01-02 12:54:22 | subseries | 1 | 81242 | 3 | 8.296 | 9792.9 |
| 360 | 2025-01-02 00:55:20 | subseries | 3 | 148641 | 128 | 35.906 | 4139.7 |
| 359 | 2025-01-01 12:17:42 | subseries | 3 | 148641 | 128 | 34.796 | 4271.8 |
| 358 | 2024-12-30 16:29:40 | subseries | 3 | 148641 | 128 | 35.720 | 4161.3 |
| 357 | 2024-12-30 16:29:39 | subseries | 2 | 121436 | 18 | 12.843 | 9455.4 |