History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tailored"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 408 | 2025-09-08 08:14:54 | tailored | 1 | 82945 | 1 | 1.513 | 54821.5 |
| 407 | 2025-08-17 09:45:32 | tailored | 1 | 82945 | 1 | 6.703 | 12374.3 |
| 406 | 2025-08-06 00:50:41 | tailored | 2 | 121059 | 10 | 9.013 | 13431.6 |
| 405 | 2025-08-05 19:00:36 | tailored | 3 | 146162 | 137 | 20.466 | 7141.7 |
| 404 | 2025-08-05 11:15:43 | tailored | 2 | 121059 | 10 | 9.266 | 13064.9 |
| 403 | 2025-08-05 05:57:21 | tailored | 1 | 82945 | 1 | 6.623 | 12523.8 |
| 402 | 2025-08-04 15:04:03 | tailored | 1 | 82945 | 1 | 1.500 | 55296.7 |
| 401 | 2025-08-03 00:44:48 | tailored | 1 | 82945 | 1 | 3.516 | 23590.7 |
| 400 | 2025-07-26 07:52:50 | tailored | 1 | 82945 | 1 | 3.486 | 23793.7 |
| 399 | 2025-07-21 03:20:47 | tailored | 2 | 121059 | 10 | 8.046 | 15045.9 |
| 398 | 2025-07-17 12:35:15 | tailored | 1 | 82945 | 1 | 8.703 | 9530.6 |
| 397 | 2025-07-17 00:42:15 | tailored | 2 | 121059 | 10 | 17.000 | 7121.1 |
| 396 | 2025-07-16 16:37:28 | tailored | 3 | 146162 | 137 | 8.076 | 18098.3 |
| 395 | 2025-07-16 03:10:09 | tailored | 1 | 82945 | 1 | 3.483 | 23814.2 |
| 394 | 2025-07-15 14:39:15 | tailored | 1 | 82945 | 1 | 1.456 | 56967.7 |
| 393 | 2025-07-14 19:16:42 | tailored | 1 | 82945 | 1 | 7.283 | 11388.9 |
| 392 | 2025-07-11 15:26:53 | tailored | 2 | 121059 | 10 | 20.486 | 5909.4 |
| 391 | 2025-07-09 14:23:44 | tailored | 2 | 121059 | 10 | 4.360 | 27765.8 |
| 390 | 2025-07-08 20:58:00 | tailored | 1 | 82945 | 1 | 1.296 | 64000.8 |
| 389 | 2025-07-08 06:08:07 | tailored | 1 | 82945 | 1 | 7.580 | 10942.6 |
| 388 | 2025-07-07 23:12:09 | tailored | 1 | 82945 | 1 | 7.670 | 10814.2 |
| 387 | 2025-07-06 10:24:40 | tailored | 1 | 82945 | 1 | 1.483 | 55930.5 |
| 386 | 2025-07-06 05:20:23 | tailored | 3 | 146162 | 137 | 36.880 | 3963.2 |
| 385 | 2025-07-05 04:58:45 | tailored | 3 | 146162 | 137 | 51.706 | 2826.8 |
| 384 | 2025-07-03 17:14:43 | tailored | 3 | 146162 | 137 | 51.770 | 2823.3 |
| 383 | 2025-07-03 09:05:17 | tailored | 3 | 146162 | 137 | 36.876 | 3963.6 |
| 382 | 2025-07-02 01:29:26 | tailored | 3 | 146162 | 137 | 35.673 | 4097.3 |
| 381 | 2025-06-30 18:42:24 | tailored | 3 | 146162 | 137 | 26.486 | 5518.5 |
| 380 | 2025-06-29 16:28:50 | tailored | 3 | 146162 | 137 | 28.956 | 5047.7 |
| 379 | 2025-06-27 17:10:14 | tailored | 3 | 146162 | 137 | 22.483 | 6501.0 |
| 378 | 2025-06-27 04:29:59 | tailored | 2 | 121059 | 10 | 15.406 | 7857.9 |
| 377 | 2025-06-26 10:54:33 | tailored | 1 | 82945 | 1 | 7.843 | 10575.7 |
| 376 | 2025-06-25 12:41:36 | tailored | 3 | 146162 | 137 | 8.186 | 17855.1 |
| 375 | 2025-06-25 07:40:06 | tailored | 1 | 82945 | 1 | 8.530 | 9723.9 |
| 374 | 2025-06-23 19:27:20 | tailored | 1 | 82945 | 1 | 7.016 | 11822.3 |
| 373 | 2025-06-23 18:41:37 | tailored | 3 | 146162 | 137 | 8.016 | 18233.8 |
| 372 | 2025-06-19 02:10:00 | tailored | 1 | 82945 | 1 | 1.283 | 64649.3 |
| 371 | 2025-06-14 16:57:36 | tailored | 1 | 82945 | 1 | 9.453 | 8774.5 |
| 370 | 2025-06-14 10:04:20 | tailored | 1 | 82945 | 1 | 7.610 | 10899.5 |
| 369 | 2025-05-21 19:49:05 | tailored | 1 | 82945 | 1 | 4.830 | 17172.9 |
| 368 | 2025-05-19 10:16:21 | tailored | 1 | 82945 | 1 | 1.466 | 56579.1 |
| 367 | 2025-05-11 15:51:02 | tailored | 1 | 82945 | 1 | 6.626 | 12518.1 |
| 366 | 2025-05-10 09:18:29 | tailored | 3 | 146162 | 137 | 57.086 | 2560.4 |
| 365 | 2025-05-10 01:34:43 | tailored | 2 | 121059 | 10 | 22.300 | 5428.7 |
| 364 | 2025-04-19 19:23:59 | tailored | 1 | 82945 | 1 | 6.046 | 13719.0 |
| 363 | 2025-04-09 03:11:31 | tailored | 1 | 82945 | 1 | 3.533 | 23477.2 |
| 362 | 2025-04-08 15:27:43 | tailored | 1 | 82945 | 1 | 6.906 | 12010.6 |
| 361 | 2025-03-17 23:10:02 | tailored | 1 | 82945 | 1 | 6.203 | 13371.8 |
| 360 | 2025-03-17 05:03:27 | tailored | 1 | 82945 | 1 | 5.596 | 14822.2 |
| 359 | 2025-03-08 23:33:23 | tailored | 1 | 82945 | 1 | 10.126 | 8191.3 |
| 358 | 2025-03-08 22:22:22 | tailored | 1 | 82945 | 1 | 6.390 | 12980.4 |
| 357 | 2025-03-03 00:05:29 | tailored | 3 | 146162 | 137 | 65.736 | 2223.5 |
| 356 | 2025-03-01 01:40:07 | tailored | 3 | 146162 | 137 | 16.846 | 8676.4 |
| 355 | 2025-02-24 15:56:49 | tailored | 2 | 121059 | 10 | 3.890 | 31120.6 |
| 354 | 2025-02-23 15:29:06 | tailored | 3 | 146162 | 137 | 39.330 | 3716.3 |
| 353 | 2025-02-23 15:11:46 | tailored | 3 | 146162 | 137 | 44.750 | 3266.2 |
| 352 | 2025-02-23 15:11:44 | tailored | 2 | 121059 | 10 | 18.593 | 6511.0 |
| 351 | 2025-02-12 14:18:18 | tailored | 2 | 121059 | 10 | 13.550 | 8934.2 |
| 350 | 2025-02-12 14:18:18 | tailored | 1 | 82945 | 1 | 6.000 | 13824.2 |
| 349 | 2025-02-12 13:29:21 | tailored | 3 | 146162 | 137 | 8.186 | 17855.1 |
| 348 | 2025-02-12 08:20:11 | tailored | 3 | 146162 | 137 | 39.030 | 3744.9 |
| 347 | 2025-02-10 06:16:05 | tailored | 3 | 146162 | 137 | 6.673 | 21903.5 |
| 346 | 2025-01-23 23:31:25 | tailored | 3 | 146162 | 137 | 35.720 | 4091.9 |
| 345 | 2025-01-18 05:39:55 | tailored | 3 | 146162 | 137 | 50.300 | 2905.8 |
| 344 | 2025-01-18 05:39:55 | tailored | 2 | 121059 | 10 | 19.266 | 6283.6 |
| 343 | 2025-01-11 08:38:33 | tailored | 3 | 146162 | 137 | 25.170 | 5807.0 |
| 342 | 2025-01-11 08:38:34 | tailored | 2 | 121059 | 10 | 14.440 | 8383.6 |
| 341 | 2025-01-11 08:38:24 | tailored | 1 | 82945 | 1 | 5.466 | 15174.7 |
| 340 | 2025-01-11 06:27:26 | tailored | 3 | 146162 | 137 | 43.393 | 3368.3 |
| 339 | 2025-01-11 06:27:22 | tailored | 2 | 121059 | 10 | 12.003 | 10085.7 |
| 338 | 2025-01-02 22:21:57 | tailored | 1 | 82945 | 1 | 9.843 | 8426.8 |
| 337 | 2024-12-29 20:35:40 | tailored | 1 | 82945 | 1 | 4.140 | 20035.0 |
| 336 | 2024-12-11 23:24:09 | tailored | 1 | 82945 | 1 | 4.140 | 20035.0 |
| 335 | 2024-12-10 16:03:05 | tailored | 3 | 146162 | 137 | 30.280 | 4827.0 |
| 334 | 2024-12-06 22:13:52 | tailored | 3 | 146162 | 137 | 36.243 | 4032.8 |
| 333 | 2024-12-06 09:30:31 | tailored | 3 | 146162 | 137 | 30.080 | 4859.1 |
| 332 | 2024-12-02 02:13:40 | tailored | 3 | 146162 | 137 | 38.113 | 3835.0 |
| 331 | 2024-11-28 08:09:20 | tailored | 1 | 82945 | 1 | 7.346 | 11291.2 |
| 330 | 2024-11-26 05:12:52 | tailored | 1 | 82945 | 1 | 7.550 | 10986.1 |
| 329 | 2024-11-11 20:34:59 | tailored | 2 | 121059 | 10 | 18.470 | 6554.4 |
| 328 | 2024-11-11 06:19:31 | tailored | 1 | 82945 | 1 | 1.280 | 64800.8 |
| 327 | 2024-11-10 07:35:51 | tailored | 2 | 121059 | 10 | 12.296 | 9845.4 |
| 326 | 2024-11-03 20:30:19 | tailored | 3 | 146162 | 137 | 27.186 | 5376.4 |
| 325 | 2024-11-03 15:37:21 | tailored | 3 | 146162 | 137 | 36.500 | 4004.4 |
| 324 | 2024-11-03 08:46:37 | tailored | 3 | 146162 | 137 | 35.940 | 4066.8 |
| 323 | 2024-10-27 15:29:47 | tailored | 1 | 82945 | 1 | 7.313 | 11342.1 |
| 322 | 2024-10-26 08:03:58 | tailored | 3 | 146162 | 137 | 8.296 | 17618.4 |
| 321 | 2024-10-26 01:32:15 | tailored | 1 | 82945 | 1 | 7.423 | 11174.1 |
| 320 | 2024-10-25 00:40:34 | tailored | 1 | 82945 | 1 | 7.953 | 10429.4 |
| 319 | 2024-10-10 16:49:51 | tailored | 2 | 121059 | 10 | 19.390 | 6243.4 |
| 318 | 2024-10-10 16:40:41 | tailored | 1 | 82945 | 1 | 1.546 | 53651.4 |
| 317 | 2024-10-02 09:36:15 | tailored | 3 | 146162 | 137 | 43.850 | 3333.2 |
| 316 | 2024-10-02 06:18:46 | tailored | 3 | 146162 | 137 | 46.626 | 3134.8 |
| 315 | 2024-10-01 20:11:30 | tailored | 3 | 146162 | 137 | 80.426 | 1817.3 |
| 314 | 2024-09-22 01:35:25 | tailored | 3 | 146162 | 137 | 55.813 | 2618.8 |
| 313 | 2024-09-04 09:38:00 | tailored | 1 | 82945 | 1 | 11.203 | 7403.8 |
| 312 | 2024-08-24 12:08:53 | tailored | 1 | 82945 | 1 | 11.406 | 7272.0 |
| 311 | 2024-08-23 03:24:17 | tailored | 1 | 82945 | 1 | 5.233 | 15850.4 |
| 310 | 2024-08-10 14:51:30 | tailored | 3 | 146162 | 137 | 29.863 | 4894.4 |
| 309 | 2024-08-10 14:51:28 | tailored | 2 | 121059 | 10 | 9.080 | 13332.5 |