History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"encoding"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 459 | 2025-10-31 08:02:28 | encoding | 2 | 121059 | 20 | 3.890 | 31120.6 |
| 458 | 2025-10-30 09:36:39 | encoding | 2 | 121059 | 20 | 3.623 | 33414.0 |
| 457 | 2025-10-30 03:53:50 | encoding | 1 | 82945 | 2 | 1.313 | 63172.1 |
| 456 | 2025-10-30 03:29:17 | encoding | 3 | 146162 | 240 | 6.983 | 20931.1 |
| 455 | 2025-10-30 02:48:33 | encoding | 1 | 82945 | 2 | 1.313 | 63172.1 |
| 454 | 2025-10-30 00:46:02 | encoding | 1 | 82945 | 2 | 1.516 | 54713.1 |
| 453 | 2025-10-29 13:43:12 | encoding | 3 | 146162 | 240 | 7.343 | 19904.9 |
| 452 | 2025-10-29 13:38:33 | encoding | 3 | 146162 | 240 | 7.390 | 19778.3 |
| 451 | 2025-10-29 06:06:49 | encoding | 2 | 121059 | 20 | 4.200 | 28823.6 |
| 450 | 2025-10-28 21:50:37 | encoding | 2 | 121059 | 20 | 3.410 | 35501.2 |
| 449 | 2025-10-28 07:27:02 | encoding | 1 | 82945 | 2 | 1.500 | 55296.7 |
| 448 | 2025-10-27 10:30:16 | encoding | 1 | 82945 | 2 | 1.390 | 59672.7 |
| 447 | 2025-10-24 21:24:20 | encoding | 2 | 121059 | 20 | 3.686 | 32842.9 |
| 446 | 2025-10-24 04:21:57 | encoding | 2 | 121059 | 20 | 3.453 | 35059.1 |
| 445 | 2025-10-19 05:42:02 | encoding | 3 | 146162 | 240 | 9.126 | 16016.0 |
| 444 | 2025-10-18 21:15:40 | encoding | 2 | 121059 | 20 | 3.703 | 32692.1 |
| 443 | 2025-10-18 14:53:12 | encoding | 1 | 82945 | 2 | 1.516 | 54713.1 |
| 442 | 2025-10-18 07:56:16 | encoding | 1 | 82945 | 2 | 1.453 | 57085.3 |
| 441 | 2025-10-18 07:13:54 | encoding | 3 | 146162 | 240 | 7.500 | 19488.3 |
| 440 | 2025-10-17 22:09:52 | encoding | 2 | 121059 | 20 | 3.783 | 32000.8 |
| 439 | 2025-10-17 05:57:40 | encoding | 3 | 146162 | 240 | 7.656 | 19091.2 |
| 438 | 2025-10-16 22:12:41 | encoding | 2 | 121059 | 20 | 4.300 | 28153.3 |
| 437 | 2025-10-16 19:54:29 | encoding | 3 | 146162 | 240 | 7.266 | 20115.9 |
| 436 | 2025-10-16 15:43:38 | encoding | 1 | 82945 | 2 | 1.436 | 57761.1 |
| 435 | 2025-10-15 18:47:28 | encoding | 3 | 146162 | 240 | 6.610 | 22112.3 |
| 434 | 2025-10-14 23:13:03 | encoding | 1 | 82945 | 2 | 1.296 | 64000.8 |
| 433 | 2025-10-14 15:17:25 | encoding | 3 | 146162 | 240 | 7.343 | 19904.9 |
| 432 | 2025-10-13 10:20:19 | encoding | 3 | 146162 | 240 | 7.263 | 20124.2 |
| 431 | 2025-10-12 17:56:41 | encoding | 2 | 121059 | 20 | 3.343 | 36212.7 |
| 430 | 2025-10-12 04:36:00 | encoding | 3 | 146162 | 240 | 6.626 | 22058.9 |
| 429 | 2025-10-12 00:34:30 | encoding | 2 | 121059 | 20 | 3.766 | 32145.2 |
| 428 | 2025-10-10 15:34:38 | encoding | 2 | 121059 | 20 | 4.000 | 30264.8 |
| 427 | 2025-10-10 13:19:46 | encoding | 1 | 82945 | 2 | 1.326 | 62552.8 |
| 426 | 2025-10-09 15:20:10 | encoding | 1 | 82945 | 2 | 1.406 | 58993.6 |
| 425 | 2025-10-07 18:19:15 | encoding | 1 | 82945 | 2 | 1.453 | 57085.3 |
| 424 | 2025-10-05 11:54:18 | encoding | 1 | 82945 | 2 | 2.796 | 29665.6 |
| 423 | 2025-09-30 08:08:41 | encoding | 2 | 121059 | 20 | 4.076 | 29700.4 |
| 422 | 2025-09-29 06:44:14 | encoding | 3 | 146162 | 240 | 6.906 | 21164.5 |
| 421 | 2025-09-29 03:52:33 | encoding | 1 | 82945 | 2 | 1.376 | 60279.8 |
| 420 | 2025-09-29 00:54:23 | encoding | 1 | 82945 | 2 | 1.300 | 63803.8 |
| 419 | 2025-09-28 18:36:56 | encoding | 3 | 146162 | 240 | 7.126 | 20511.1 |
| 418 | 2025-09-28 18:26:45 | encoding | 2 | 121059 | 20 | 3.656 | 33112.4 |
| 417 | 2025-09-28 12:32:35 | encoding | 3 | 146162 | 240 | 7.343 | 19904.9 |
| 416 | 2025-09-28 09:38:05 | encoding | 2 | 121059 | 20 | 3.466 | 34927.6 |
| 415 | 2025-09-28 06:22:06 | encoding | 2 | 121059 | 20 | 3.390 | 35710.6 |
| 414 | 2025-09-28 02:51:38 | encoding | 3 | 146162 | 240 | 7.580 | 19282.6 |
| 413 | 2025-09-28 01:50:29 | encoding | 2 | 121059 | 20 | 3.263 | 37100.5 |
| 412 | 2025-09-27 21:53:00 | encoding | 2 | 121059 | 20 | 8.173 | 14812.1 |
| 411 | 2025-09-27 07:15:30 | encoding | 1 | 82945 | 2 | 1.470 | 56425.2 |
| 410 | 2025-09-27 02:54:42 | encoding | 1 | 82945 | 2 | 1.483 | 55930.5 |
| 409 | 2025-09-26 10:53:36 | encoding | 1 | 82945 | 2 | 1.296 | 64000.8 |
| 408 | 2025-09-26 10:23:06 | encoding | 3 | 146162 | 240 | 6.563 | 22270.6 |
| 407 | 2025-09-22 09:59:35 | encoding | 3 | 146162 | 240 | 7.500 | 19488.3 |
| 406 | 2025-09-21 10:20:33 | encoding | 2 | 121059 | 20 | 3.173 | 38152.9 |
| 405 | 2025-09-19 13:16:34 | encoding | 1 | 82945 | 2 | 1.436 | 57761.1 |
| 404 | 2025-09-18 02:20:05 | encoding | 3 | 146162 | 240 | 12.283 | 11899.5 |
| 403 | 2025-09-17 06:06:22 | encoding | 3 | 146162 | 240 | 7.203 | 20291.8 |
| 402 | 2025-09-16 22:02:39 | encoding | 2 | 121059 | 20 | 7.470 | 16206.0 |
| 401 | 2025-09-16 14:45:29 | encoding | 1 | 82945 | 2 | 1.296 | 64000.8 |
| 400 | 2025-09-16 05:25:39 | encoding | 3 | 146162 | 240 | 6.843 | 21359.3 |
| 399 | 2025-09-14 19:56:21 | encoding | 3 | 146162 | 240 | 7.673 | 19048.9 |
| 398 | 2025-09-14 18:41:39 | encoding | 3 | 146162 | 240 | 6.923 | 21112.5 |
| 397 | 2025-09-13 09:43:55 | encoding | 3 | 146162 | 240 | 6.950 | 21030.5 |
| 396 | 2025-09-11 04:46:53 | encoding | 3 | 146162 | 240 | 7.406 | 19735.6 |
| 395 | 2025-09-10 17:32:12 | encoding | 2 | 121059 | 20 | 4.093 | 29577.1 |
| 394 | 2025-09-09 13:11:10 | encoding | 1 | 82945 | 2 | 1.436 | 57761.1 |
| 393 | 2025-09-07 00:42:21 | encoding | 2 | 121059 | 20 | 3.216 | 37642.7 |
| 392 | 2025-09-05 13:38:42 | encoding | 1 | 82945 | 2 | 1.940 | 42755.2 |
| 391 | 2025-09-04 16:21:35 | encoding | 2 | 121059 | 20 | 3.420 | 35397.4 |
| 390 | 2025-09-02 12:43:07 | encoding | 2 | 121059 | 20 | 3.516 | 34430.9 |
| 389 | 2025-09-02 07:30:42 | encoding | 1 | 82945 | 2 | 1.313 | 63172.1 |
| 388 | 2025-09-01 17:45:02 | encoding | 3 | 146162 | 240 | 6.453 | 22650.2 |
| 387 | 2025-08-30 19:48:39 | encoding | 2 | 121059 | 20 | 5.516 | 21946.9 |
| 386 | 2025-08-30 01:08:57 | encoding | 2 | 121059 | 20 | 3.623 | 33414.0 |
| 385 | 2025-08-29 03:30:45 | encoding | 1 | 82945 | 2 | 1.436 | 57761.1 |
| 384 | 2025-08-29 00:25:11 | encoding | 1 | 82945 | 2 | 1.440 | 57600.7 |
| 383 | 2025-08-28 12:38:25 | encoding | 3 | 146162 | 240 | 8.860 | 16496.8 |
| 382 | 2025-08-28 09:00:14 | encoding | 2 | 121059 | 20 | 3.300 | 36684.5 |
| 381 | 2025-08-28 06:14:16 | encoding | 3 | 146162 | 240 | 6.860 | 21306.4 |
| 380 | 2025-08-28 06:13:15 | encoding | 2 | 121059 | 20 | 3.670 | 32986.1 |
| 379 | 2025-08-28 06:01:58 | encoding | 2 | 121059 | 20 | 3.830 | 31608.1 |
| 378 | 2025-08-28 04:43:09 | encoding | 2 | 121059 | 20 | 4.233 | 28598.9 |
| 377 | 2025-08-28 03:03:47 | encoding | 3 | 146162 | 240 | 10.173 | 14367.6 |
| 376 | 2025-08-28 01:50:05 | encoding | 3 | 146162 | 240 | 9.190 | 15904.5 |
| 375 | 2025-08-27 21:56:46 | encoding | 2 | 121059 | 20 | 3.796 | 31891.2 |
| 374 | 2025-08-27 16:09:00 | encoding | 1 | 82945 | 2 | 1.436 | 57761.1 |
| 373 | 2025-08-27 10:23:36 | encoding | 1 | 82945 | 2 | 1.423 | 58288.8 |
| 372 | 2025-08-27 07:02:58 | encoding | 1 | 82945 | 2 | 2.373 | 34953.6 |
| 371 | 2025-08-27 03:16:21 | encoding | 1 | 82945 | 2 | 1.560 | 53169.9 |
| 370 | 2025-08-17 05:45:21 | encoding | 3 | 146162 | 240 | 22.890 | 6385.4 |
| 369 | 2025-08-16 05:33:40 | encoding | 3 | 146162 | 240 | 6.796 | 21507.1 |
| 368 | 2025-08-14 20:40:32 | encoding | 3 | 146162 | 240 | 23.643 | 6182.0 |
| 367 | 2025-08-14 19:31:07 | encoding | 3 | 146162 | 240 | 31.050 | 4707.3 |
| 366 | 2025-08-12 13:54:36 | encoding | 3 | 146162 | 240 | 26.800 | 5453.8 |
| 365 | 2025-08-10 07:42:38 | encoding | 3 | 146162 | 240 | 28.140 | 5194.1 |
| 364 | 2025-08-09 15:24:56 | encoding | 1 | 82945 | 2 | 6.640 | 12491.7 |
| 363 | 2025-08-09 15:00:20 | encoding | 1 | 82945 | 2 | 6.296 | 13174.2 |
| 362 | 2025-08-05 15:51:51 | encoding | 1 | 82945 | 2 | 4.766 | 17403.5 |
| 361 | 2025-07-27 17:57:32 | encoding | 3 | 146162 | 240 | 34.813 | 4198.5 |
| 360 | 2025-07-27 10:57:21 | encoding | 1 | 82945 | 2 | 4.030 | 20581.9 |