History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cheapest"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 408 | 2025-12-05 01:00:56 | cheapest | 1 | 82945 | 1 | 1.530 | 54212.4 |
| 407 | 2025-11-19 05:41:59 | cheapest | 1 | 82945 | 1 | 1.296 | 64000.8 |
| 406 | 2025-10-21 14:18:45 | cheapest | 1 | 82945 | 1 | 5.796 | 14310.7 |
| 405 | 2025-10-11 20:05:12 | cheapest | 1 | 82945 | 1 | 1.423 | 58288.8 |
| 404 | 2025-10-05 23:19:10 | cheapest | 1 | 82945 | 1 | 2.750 | 30161.8 |
| 403 | 2025-09-19 06:24:02 | cheapest | 1 | 82945 | 1 | 1.563 | 53067.8 |
| 402 | 2025-09-13 20:09:01 | cheapest | 3 | 146162 | 127 | 7.063 | 20694.0 |
| 401 | 2025-08-15 08:32:33 | cheapest | 2 | 121059 | 14 | 10.610 | 11409.9 |
| 400 | 2025-08-13 14:10:13 | cheapest | 2 | 121059 | 14 | 18.253 | 6632.3 |
| 399 | 2025-08-10 01:12:06 | cheapest | 1 | 82945 | 1 | 7.096 | 11689.0 |
| 398 | 2025-08-09 17:36:15 | cheapest | 1 | 82945 | 1 | 3.750 | 22118.7 |
| 397 | 2025-08-09 04:34:03 | cheapest | 1 | 82945 | 1 | 5.703 | 14544.1 |
| 396 | 2025-08-04 15:30:38 | cheapest | 1 | 82945 | 1 | 7.140 | 11616.9 |
| 395 | 2025-07-29 18:07:48 | cheapest | 1 | 82945 | 1 | 9.076 | 9138.9 |
| 394 | 2025-07-26 07:16:51 | cheapest | 1 | 82945 | 1 | 1.500 | 55296.7 |
| 393 | 2025-07-24 18:03:30 | cheapest | 1 | 82945 | 1 | 3.453 | 24021.1 |
| 392 | 2025-07-24 17:56:00 | cheapest | 1 | 82945 | 1 | 4.250 | 19516.5 |
| 391 | 2025-07-23 20:14:06 | cheapest | 1 | 82945 | 1 | 8.516 | 9739.9 |
| 390 | 2025-07-20 16:30:25 | cheapest | 3 | 146162 | 127 | 7.623 | 19173.8 |
| 389 | 2025-07-14 18:15:18 | cheapest | 3 | 146162 | 127 | 39.626 | 3688.5 |
| 388 | 2025-07-08 21:44:33 | cheapest | 1 | 82945 | 1 | 1.453 | 57085.3 |
| 387 | 2025-07-08 05:11:59 | cheapest | 3 | 146162 | 127 | 53.553 | 2729.3 |
| 386 | 2025-07-08 04:13:12 | cheapest | 2 | 121059 | 14 | 18.910 | 6401.9 |
| 385 | 2025-07-06 23:57:39 | cheapest | 1 | 82945 | 1 | 4.390 | 18894.1 |
| 384 | 2025-07-06 21:11:56 | cheapest | 3 | 146162 | 127 | 6.860 | 21306.4 |
| 383 | 2025-07-06 16:38:11 | cheapest | 2 | 121059 | 14 | 3.673 | 32959.2 |
| 382 | 2025-07-04 15:07:09 | cheapest | 1 | 82945 | 1 | 7.046 | 11771.9 |
| 381 | 2025-06-24 01:50:41 | cheapest | 1 | 82945 | 1 | 4.000 | 20736.3 |
| 380 | 2025-06-22 12:30:38 | cheapest | 1 | 82945 | 1 | 6.486 | 12788.3 |
| 379 | 2025-06-07 05:23:22 | cheapest | 1 | 82945 | 1 | 1.390 | 59672.7 |
| 378 | 2025-06-06 20:45:24 | cheapest | 1 | 82945 | 1 | 6.420 | 12919.8 |
| 377 | 2025-06-06 00:00:41 | cheapest | 1 | 82945 | 1 | 5.450 | 15219.3 |
| 376 | 2025-06-04 20:57:25 | cheapest | 2 | 121059 | 14 | 23.843 | 5077.3 |
| 375 | 2025-06-03 21:01:31 | cheapest | 1 | 82945 | 1 | 4.233 | 19594.8 |
| 374 | 2025-06-01 14:39:53 | cheapest | 1 | 82945 | 1 | 1.470 | 56425.2 |
| 373 | 2025-05-31 14:45:34 | cheapest | 1 | 82945 | 1 | 3.266 | 25396.5 |
| 372 | 2025-05-30 16:34:13 | cheapest | 2 | 121059 | 14 | 12.783 | 9470.3 |
| 371 | 2025-05-27 00:10:06 | cheapest | 3 | 146162 | 127 | 37.676 | 3879.4 |
| 370 | 2025-05-24 21:23:56 | cheapest | 1 | 82945 | 1 | 1.280 | 64800.8 |
| 369 | 2025-05-22 13:34:15 | cheapest | 1 | 82945 | 1 | 10.503 | 7897.3 |
| 368 | 2025-05-09 19:04:42 | cheapest | 1 | 82945 | 1 | 5.580 | 14864.7 |
| 367 | 2025-05-05 13:53:47 | cheapest | 1 | 82945 | 1 | 3.233 | 25655.7 |
| 366 | 2025-05-02 03:33:43 | cheapest | 3 | 146162 | 127 | 42.623 | 3429.2 |
| 365 | 2025-05-02 01:39:12 | cheapest | 1 | 82945 | 1 | 3.283 | 25265.0 |
| 364 | 2025-05-01 20:54:36 | cheapest | 1 | 82945 | 1 | 6.140 | 13509.0 |
| 363 | 2025-05-01 03:42:38 | cheapest | 3 | 146162 | 127 | 34.613 | 4222.7 |
| 362 | 2025-04-30 13:13:07 | cheapest | 3 | 146162 | 127 | 22.266 | 6564.4 |
| 361 | 2025-04-28 04:59:05 | cheapest | 3 | 146162 | 127 | 24.720 | 5912.7 |
| 360 | 2025-04-26 23:13:15 | cheapest | 1 | 82945 | 1 | 1.486 | 55817.6 |
| 359 | 2025-04-22 16:30:19 | cheapest | 1 | 82945 | 1 | 1.440 | 57600.7 |
| 358 | 2025-04-21 18:04:18 | cheapest | 1 | 82945 | 1 | 7.030 | 11798.7 |
| 357 | 2025-04-21 01:07:39 | cheapest | 1 | 82945 | 1 | 7.156 | 11591.0 |
| 356 | 2025-04-06 11:27:42 | cheapest | 1 | 82945 | 1 | 6.640 | 12491.7 |
| 355 | 2025-04-01 20:37:54 | cheapest | 1 | 82945 | 1 | 5.750 | 14425.2 |
| 354 | 2025-03-27 17:17:36 | cheapest | 1 | 82945 | 1 | 7.283 | 11388.9 |
| 353 | 2025-03-20 01:39:26 | cheapest | 1 | 82945 | 1 | 3.813 | 21753.2 |
| 352 | 2025-03-20 00:37:48 | cheapest | 1 | 82945 | 1 | 3.080 | 26930.2 |
| 351 | 2025-03-19 14:58:49 | cheapest | 1 | 82945 | 1 | 3.576 | 23194.9 |
| 350 | 2025-03-13 20:55:25 | cheapest | 1 | 82945 | 1 | 8.016 | 10347.4 |
| 349 | 2025-03-06 01:07:09 | cheapest | 1 | 82945 | 1 | 6.096 | 13606.5 |
| 348 | 2025-03-05 22:14:42 | cheapest | 1 | 82945 | 1 | 7.376 | 11245.3 |
| 347 | 2025-02-22 06:27:29 | cheapest | 1 | 82945 | 1 | 10.360 | 8006.3 |
| 346 | 2025-02-21 00:46:37 | cheapest | 1 | 82945 | 1 | 8.093 | 10249.0 |
| 345 | 2025-01-28 22:51:23 | cheapest | 1 | 82945 | 1 | 9.050 | 9165.2 |
| 344 | 2025-01-28 03:28:21 | cheapest | 3 | 146162 | 127 | 38.676 | 3779.1 |
| 343 | 2025-01-27 20:34:56 | cheapest | 3 | 146162 | 127 | 25.936 | 5635.5 |
| 342 | 2025-01-27 14:03:55 | cheapest | 3 | 146162 | 127 | 38.390 | 3807.3 |
| 341 | 2025-01-26 23:53:55 | cheapest | 3 | 146162 | 127 | 27.206 | 5372.4 |
| 340 | 2025-01-26 23:53:50 | cheapest | 2 | 121059 | 14 | 18.546 | 6527.5 |
| 339 | 2025-01-26 23:53:41 | cheapest | 1 | 82945 | 1 | 9.046 | 9169.2 |
| 338 | 2025-01-26 18:19:19 | cheapest | 1 | 82945 | 1 | 7.530 | 11015.3 |
| 337 | 2025-01-07 14:27:36 | cheapest | 1 | 82945 | 1 | 7.813 | 10616.3 |
| 336 | 2025-01-06 06:44:40 | cheapest | 1 | 82945 | 1 | 5.766 | 14385.2 |
| 335 | 2024-12-19 12:26:42 | cheapest | 3 | 146162 | 127 | 31.563 | 4630.8 |
| 334 | 2024-12-18 02:50:09 | cheapest | 3 | 146162 | 127 | 31.813 | 4594.4 |
| 333 | 2024-12-16 09:19:30 | cheapest | 3 | 146162 | 127 | 41.766 | 3499.5 |
| 332 | 2024-12-16 09:16:21 | cheapest | 2 | 121059 | 14 | 18.533 | 6532.1 |
| 331 | 2024-12-15 17:46:29 | cheapest | 3 | 146162 | 127 | 7.686 | 19016.7 |
| 330 | 2024-12-15 17:46:28 | cheapest | 2 | 121059 | 14 | 3.843 | 31501.2 |
| 329 | 2024-12-15 17:46:23 | cheapest | 1 | 82945 | 1 | 1.546 | 53651.4 |
| 328 | 2024-12-11 23:58:55 | cheapest | 1 | 82945 | 1 | 8.750 | 9479.4 |
| 327 | 2024-12-05 14:50:18 | cheapest | 3 | 146162 | 127 | 48.773 | 2996.8 |
| 326 | 2024-12-05 05:53:33 | cheapest | 1 | 82945 | 1 | 7.016 | 11822.3 |
| 325 | 2024-12-03 08:13:26 | cheapest | 2 | 121059 | 14 | 14.863 | 8145.0 |
| 324 | 2024-12-03 08:13:19 | cheapest | 1 | 82945 | 1 | 5.140 | 16137.2 |
| 323 | 2024-11-10 11:15:04 | cheapest | 3 | 146162 | 127 | 53.266 | 2744.0 |
| 322 | 2024-11-10 06:12:54 | cheapest | 2 | 121059 | 14 | 18.453 | 6560.4 |
| 321 | 2024-11-09 23:28:16 | cheapest | 1 | 82945 | 1 | 1.296 | 64000.8 |
| 320 | 2024-11-09 10:04:10 | cheapest | 3 | 146162 | 127 | 12.736 | 11476.3 |
| 319 | 2024-11-08 13:05:44 | cheapest | 3 | 146162 | 127 | 35.626 | 4102.7 |
| 318 | 2024-11-08 10:10:19 | cheapest | 3 | 146162 | 127 | 28.143 | 5193.5 |
| 317 | 2024-11-08 10:10:21 | cheapest | 2 | 121059 | 14 | 19.580 | 6182.8 |
| 316 | 2024-11-08 09:46:41 | cheapest | 1 | 82945 | 1 | 2.063 | 40206.0 |
| 315 | 2024-10-28 19:27:38 | cheapest | 1 | 82945 | 1 | 8.233 | 10074.7 |
| 314 | 2024-10-25 07:53:02 | cheapest | 1 | 82945 | 1 | 5.080 | 16327.8 |
| 313 | 2024-10-17 05:45:58 | cheapest | 1 | 82945 | 1 | 6.873 | 12068.2 |
| 312 | 2024-10-10 15:14:55 | cheapest | 1 | 82945 | 1 | 3.673 | 22582.4 |
| 311 | 2024-09-23 15:50:42 | cheapest | 1 | 82945 | 1 | 10.750 | 7715.8 |
| 310 | 2024-09-12 02:02:34 | cheapest | 1 | 82945 | 1 | 5.530 | 14999.1 |
| 309 | 2024-09-10 04:48:40 | cheapest | 1 | 82945 | 1 | 5.580 | 14864.7 |