History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"swankiest"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 412 | 2025-12-12 05:12:37 | swankiest | 2 | 121436 | 28 | 18.060 | 6724.0 |
| 411 | 2025-12-10 04:57:27 | swankiest | 1 | 81242 | 3 | 1.483 | 54782.2 |
| 410 | 2025-12-08 03:02:20 | swankiest | 1 | 81242 | 3 | 1.266 | 64172.2 |
| 409 | 2025-12-07 21:47:01 | swankiest | 1 | 81242 | 3 | 1.390 | 58447.5 |
| 408 | 2025-12-07 18:59:20 | swankiest | 1 | 81242 | 3 | 1.513 | 53696.0 |
| 407 | 2025-12-07 16:43:43 | swankiest | 1 | 81242 | 3 | 1.313 | 61875.1 |
| 406 | 2025-12-04 15:33:55 | swankiest | 1 | 81242 | 3 | 1.420 | 57212.7 |
| 405 | 2025-12-01 11:03:01 | swankiest | 1 | 81242 | 3 | 2.063 | 39380.5 |
| 404 | 2025-11-29 23:32:55 | swankiest | 1 | 81242 | 3 | 1.410 | 57618.4 |
| 403 | 2025-11-29 17:57:43 | swankiest | 2 | 121436 | 28 | 3.843 | 31599.3 |
| 402 | 2025-11-21 08:44:24 | swankiest | 3 | 148641 | 178 | 7.826 | 18993.2 |
| 401 | 2025-11-16 11:58:05 | swankiest | 3 | 148641 | 178 | 22.033 | 6746.3 |
| 400 | 2025-10-25 20:03:18 | swankiest | 2 | 121436 | 28 | 3.750 | 32382.9 |
| 399 | 2025-10-22 16:52:22 | swankiest | 2 | 121436 | 28 | 27.286 | 4450.5 |
| 398 | 2025-10-19 01:28:08 | swankiest | 3 | 148641 | 178 | 7.233 | 20550.4 |
| 397 | 2025-10-18 18:50:42 | swankiest | 3 | 148641 | 178 | 7.093 | 20956.0 |
| 396 | 2025-10-02 05:36:26 | swankiest | 1 | 81242 | 3 | 1.420 | 57212.7 |
| 395 | 2025-09-08 22:48:40 | swankiest | 1 | 81242 | 3 | 1.486 | 54671.6 |
| 394 | 2025-09-08 22:32:51 | swankiest | 1 | 81242 | 3 | 1.420 | 57212.7 |
| 393 | 2025-09-08 07:46:24 | swankiest | 1 | 81242 | 3 | 1.456 | 55798.1 |
| 392 | 2025-09-03 14:09:49 | swankiest | 1 | 81242 | 3 | 1.420 | 57212.7 |
| 391 | 2025-09-02 01:00:37 | swankiest | 2 | 121436 | 28 | 3.326 | 36511.1 |
| 390 | 2025-08-27 14:40:14 | swankiest | 1 | 81242 | 3 | 1.310 | 62016.8 |
| 389 | 2025-08-27 13:25:37 | swankiest | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 388 | 2025-08-25 06:57:02 | swankiest | 3 | 148641 | 178 | 20.673 | 7190.1 |
| 387 | 2025-08-24 20:55:35 | swankiest | 1 | 81242 | 3 | 4.123 | 19704.6 |
| 386 | 2025-08-23 15:24:05 | swankiest | 1 | 81242 | 3 | 6.313 | 12869.0 |
| 385 | 2025-08-12 08:47:23 | swankiest | 2 | 121436 | 28 | 8.420 | 14422.3 |
| 384 | 2025-08-10 13:23:42 | swankiest | 2 | 121436 | 28 | 9.800 | 12391.4 |
| 383 | 2025-08-09 22:05:43 | swankiest | 2 | 121436 | 28 | 9.023 | 13458.5 |
| 382 | 2025-08-08 01:43:20 | swankiest | 2 | 121436 | 28 | 3.766 | 32245.4 |
| 381 | 2025-08-03 21:27:05 | swankiest | 1 | 81242 | 3 | 3.266 | 24875.1 |
| 380 | 2025-08-02 05:04:07 | swankiest | 1 | 81242 | 3 | 3.156 | 25742.1 |
| 379 | 2025-07-30 14:37:09 | swankiest | 1 | 81242 | 3 | 3.393 | 23944.0 |
| 378 | 2025-07-28 17:06:14 | swankiest | 2 | 121436 | 28 | 13.596 | 8931.7 |
| 377 | 2025-07-28 16:07:10 | swankiest | 3 | 148641 | 178 | 15.750 | 9437.5 |
| 376 | 2025-07-27 14:43:53 | swankiest | 1 | 81242 | 3 | 3.703 | 21939.5 |
| 375 | 2025-07-26 22:57:01 | swankiest | 3 | 148641 | 178 | 28.486 | 5218.0 |
| 374 | 2025-07-26 16:08:21 | swankiest | 1 | 81242 | 3 | 3.796 | 21402.0 |
| 373 | 2025-07-25 12:51:19 | swankiest | 1 | 81242 | 3 | 5.766 | 14089.8 |
| 372 | 2025-07-21 09:43:36 | swankiest | 1 | 81242 | 3 | 1.343 | 60492.9 |
| 371 | 2025-07-18 17:29:15 | swankiest | 1 | 81242 | 3 | 4.283 | 18968.5 |
| 370 | 2025-07-15 17:44:17 | swankiest | 3 | 148641 | 178 | 13.360 | 11125.8 |
| 369 | 2025-07-13 07:11:34 | swankiest | 2 | 121436 | 28 | 3.500 | 34696.0 |
| 368 | 2025-07-12 16:28:16 | swankiest | 3 | 148641 | 178 | 7.283 | 20409.3 |
| 367 | 2025-07-10 06:32:23 | swankiest | 3 | 148641 | 178 | 27.016 | 5502.0 |
| 366 | 2025-07-07 21:42:04 | swankiest | 2 | 121436 | 28 | 17.956 | 6763.0 |
| 365 | 2025-07-07 21:36:41 | swankiest | 3 | 148641 | 178 | 31.470 | 4723.3 |
| 364 | 2025-07-06 08:23:45 | swankiest | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 363 | 2025-06-30 22:05:07 | swankiest | 1 | 81242 | 3 | 1.466 | 55417.5 |
| 362 | 2025-06-21 22:21:22 | swankiest | 1 | 81242 | 3 | 5.420 | 14989.3 |
| 361 | 2025-06-21 21:12:13 | swankiest | 1 | 81242 | 3 | 7.080 | 11474.9 |
| 360 | 2025-05-31 05:55:23 | swankiest | 1 | 81242 | 3 | 7.220 | 11252.4 |
| 359 | 2025-05-21 22:03:18 | swankiest | 1 | 81242 | 3 | 5.606 | 14492.0 |
| 358 | 2025-05-17 21:29:39 | swankiest | 1 | 81242 | 3 | 8.920 | 9107.8 |
| 357 | 2025-05-13 13:55:11 | swankiest | 1 | 81242 | 3 | 6.796 | 11954.4 |
| 356 | 2025-05-11 16:10:58 | swankiest | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 355 | 2025-05-09 20:28:39 | swankiest | 1 | 81242 | 3 | 6.550 | 12403.4 |
| 354 | 2025-05-05 14:50:36 | swankiest | 1 | 81242 | 3 | 4.876 | 16661.6 |
| 353 | 2025-04-24 07:41:24 | swankiest | 1 | 81242 | 3 | 4.563 | 17804.5 |
| 352 | 2025-04-23 03:14:59 | swankiest | 1 | 81242 | 3 | 5.140 | 15805.8 |
| 351 | 2025-04-20 21:21:49 | swankiest | 1 | 81242 | 3 | 7.376 | 11014.4 |
| 350 | 2025-04-16 17:48:00 | swankiest | 1 | 81242 | 3 | 1.500 | 54161.3 |
| 349 | 2025-04-15 20:17:48 | swankiest | 1 | 81242 | 3 | 7.063 | 11502.5 |
| 348 | 2025-04-12 13:23:12 | swankiest | 1 | 81242 | 3 | 3.330 | 24397.0 |
| 347 | 2025-03-19 21:54:15 | swankiest | 1 | 81242 | 3 | 7.626 | 10653.3 |
| 346 | 2025-03-15 10:39:27 | swankiest | 2 | 121436 | 28 | 10.220 | 11882.2 |
| 345 | 2025-03-15 10:37:58 | swankiest | 1 | 81242 | 3 | 5.313 | 15291.2 |
| 344 | 2025-03-11 13:54:37 | swankiest | 1 | 81242 | 3 | 1.403 | 57905.9 |
| 343 | 2025-03-11 07:46:00 | swankiest | 3 | 148641 | 178 | 46.313 | 3209.5 |
| 342 | 2025-03-10 12:10:07 | swankiest | 3 | 148641 | 178 | 31.693 | 4690.0 |
| 341 | 2025-03-10 12:10:04 | swankiest | 2 | 121436 | 28 | 15.706 | 7731.8 |
| 340 | 2025-03-10 11:41:47 | swankiest | 1 | 81242 | 3 | 3.830 | 21212.0 |
| 339 | 2025-03-06 19:04:52 | swankiest | 2 | 121436 | 28 | 24.436 | 4969.6 |
| 338 | 2025-03-06 17:47:07 | swankiest | 1 | 81242 | 3 | 5.266 | 15427.6 |
| 337 | 2025-03-04 02:07:55 | swankiest | 1 | 81242 | 3 | 5.610 | 14481.6 |
| 336 | 2025-03-03 16:12:35 | swankiest | 3 | 148641 | 178 | 11.250 | 13212.5 |
| 335 | 2025-03-02 19:17:06 | swankiest | 2 | 121436 | 28 | 15.046 | 8071.0 |
| 334 | 2025-03-02 03:13:54 | swankiest | 2 | 121436 | 28 | 9.220 | 13170.9 |
| 333 | 2025-03-02 01:57:27 | swankiest | 1 | 81242 | 3 | 5.310 | 15299.8 |
| 332 | 2025-02-24 04:04:02 | swankiest | 3 | 148641 | 178 | 28.036 | 5301.8 |
| 331 | 2025-02-24 00:14:06 | swankiest | 3 | 148641 | 178 | 38.270 | 3884.0 |
| 330 | 2025-02-23 22:39:06 | swankiest | 3 | 148641 | 178 | 7.280 | 20417.7 |
| 329 | 2025-02-23 13:14:30 | swankiest | 3 | 148641 | 178 | 46.440 | 3200.7 |
| 328 | 2025-02-07 06:17:06 | swankiest | 1 | 81242 | 3 | 1.360 | 59736.8 |
| 327 | 2025-02-06 07:19:07 | swankiest | 1 | 81242 | 3 | 1.373 | 59171.2 |
| 326 | 2025-01-27 17:12:24 | swankiest | 2 | 121436 | 28 | 12.826 | 9468.0 |
| 325 | 2025-01-24 12:30:00 | swankiest | 2 | 121436 | 28 | 21.766 | 5579.2 |
| 324 | 2025-01-24 12:27:42 | swankiest | 1 | 81242 | 3 | 6.390 | 12713.9 |
| 323 | 2025-01-21 21:50:52 | swankiest | 3 | 148641 | 178 | 29.406 | 5054.8 |
| 322 | 2025-01-21 19:41:11 | swankiest | 3 | 148641 | 178 | 15.970 | 9307.5 |
| 321 | 2025-01-21 04:10:15 | swankiest | 3 | 148641 | 178 | 26.876 | 5530.6 |
| 320 | 2025-01-21 01:58:43 | swankiest | 3 | 148641 | 178 | 40.473 | 3672.6 |
| 319 | 2025-01-21 01:58:43 | swankiest | 2 | 121436 | 28 | 21.296 | 5702.3 |
| 318 | 2025-01-21 01:57:03 | swankiest | 1 | 81242 | 3 | 5.686 | 14288.1 |
| 317 | 2024-12-26 05:51:57 | swankiest | 3 | 148641 | 178 | 6.266 | 23721.8 |
| 316 | 2024-12-23 13:14:39 | swankiest | 1 | 81242 | 3 | 6.796 | 11954.4 |
| 315 | 2024-12-21 10:11:55 | swankiest | 1 | 81242 | 3 | 10.186 | 7975.8 |
| 314 | 2024-12-18 00:00:51 | swankiest | 3 | 148641 | 178 | 22.640 | 6565.4 |
| 313 | 2024-12-15 12:05:32 | swankiest | 3 | 148641 | 178 | 42.000 | 3539.1 |