History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"linearised"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 413 | 2025-09-20 04:15:49 | linearised | 4 | 161450 | 144 | 12.376 | 13045.4 |
| 412 | 2025-09-14 04:18:41 | linearised | 2 | 108824 | 6 | 2.846 | 38237.5 |
| 411 | 2025-09-12 07:22:01 | linearised | 2 | 108824 | 6 | 2.846 | 38237.5 |
| 410 | 2025-09-06 03:54:20 | linearised | 3 | 140603 | 18 | 6.673 | 21070.4 |
| 409 | 2025-08-27 08:54:12 | linearised | 1 | 67641 | 4 | 1.206 | 56087.1 |
| 408 | 2025-08-16 03:41:29 | linearised | 4 | 161450 | 144 | 11.440 | 14112.8 |
| 407 | 2025-08-15 13:56:29 | linearised | 1 | 67641 | 4 | 6.700 | 10095.7 |
| 406 | 2025-08-09 11:21:04 | linearised | 1 | 67641 | 4 | 7.390 | 9153.0 |
| 405 | 2025-08-09 00:26:52 | linearised | 1 | 67641 | 4 | 5.766 | 11731.0 |
| 404 | 2025-08-07 12:14:30 | linearised | 4 | 161450 | 144 | 33.813 | 4774.8 |
| 403 | 2025-08-02 19:55:15 | linearised | 4 | 161450 | 144 | 51.490 | 3135.6 |
| 402 | 2025-08-02 19:55:13 | linearised | 4 | 161450 | 144 | 32.390 | 4984.6 |
| 401 | 2025-08-02 00:25:12 | linearised | 4 | 161450 | 144 | 69.896 | 2309.9 |
| 400 | 2025-07-31 01:29:40 | linearised | 1 | 67641 | 4 | 5.550 | 12187.6 |
| 399 | 2025-07-30 04:58:19 | linearised | 4 | 161450 | 144 | 28.346 | 5695.7 |
| 398 | 2025-07-26 19:34:09 | linearised | 1 | 67641 | 4 | 5.626 | 12022.9 |
| 397 | 2025-07-23 23:07:05 | linearised | 1 | 67641 | 4 | 2.453 | 27574.8 |
| 396 | 2025-07-17 01:46:07 | linearised | 4 | 161450 | 144 | 29.326 | 5505.4 |
| 395 | 2025-07-13 17:24:06 | linearised | 1 | 67641 | 4 | 1.123 | 60232.4 |
| 394 | 2025-07-03 13:45:51 | linearised | 3 | 140603 | 18 | 6.266 | 22439.0 |
| 393 | 2025-07-03 03:44:55 | linearised | 2 | 108824 | 6 | 17.923 | 6071.8 |
| 392 | 2025-06-28 10:10:05 | linearised | 1 | 67641 | 4 | 8.436 | 8018.1 |
| 391 | 2025-06-25 11:51:28 | linearised | 4 | 161450 | 144 | 10.843 | 14889.8 |
| 390 | 2025-06-23 09:18:03 | linearised | 4 | 161450 | 144 | 50.253 | 3212.7 |
| 389 | 2025-06-21 10:04:37 | linearised | 4 | 161450 | 144 | 15.860 | 10179.7 |
| 388 | 2025-06-20 13:11:27 | linearised | 4 | 161450 | 144 | 12.626 | 12787.1 |
| 387 | 2025-06-18 01:41:26 | linearised | 1 | 67641 | 4 | 3.453 | 19589.1 |
| 386 | 2025-06-17 06:21:27 | linearised | 4 | 161450 | 144 | 10.953 | 14740.3 |
| 385 | 2025-06-15 10:11:37 | linearised | 1 | 67641 | 4 | 2.483 | 27241.6 |
| 384 | 2025-05-24 06:59:34 | linearised | 1 | 67641 | 4 | 4.593 | 14727.0 |
| 383 | 2025-05-21 16:57:02 | linearised | 4 | 161450 | 144 | 12.063 | 13383.9 |
| 382 | 2025-05-17 22:56:45 | linearised | 1 | 67641 | 4 | 5.563 | 12159.1 |
| 381 | 2025-05-15 14:14:12 | linearised | 3 | 140603 | 18 | 6.640 | 21175.2 |
| 380 | 2025-05-15 09:01:08 | linearised | 2 | 108824 | 6 | 3.093 | 35184.0 |
| 379 | 2025-05-14 08:57:37 | linearised | 1 | 67641 | 4 | 5.013 | 13493.1 |
| 378 | 2025-05-07 20:03:29 | linearised | 1 | 67641 | 4 | 6.830 | 9903.5 |
| 377 | 2025-04-30 01:52:15 | linearised | 4 | 161450 | 144 | 58.210 | 2773.6 |
| 376 | 2025-04-23 06:33:10 | linearised | 4 | 161450 | 144 | 48.050 | 3360.0 |
| 375 | 2025-04-23 00:26:25 | linearised | 1 | 67641 | 4 | 5.513 | 12269.4 |
| 374 | 2025-04-21 23:51:34 | linearised | 4 | 161450 | 144 | 9.920 | 16275.2 |
| 373 | 2025-04-13 08:06:03 | linearised | 3 | 140603 | 18 | 7.016 | 20040.3 |
| 372 | 2025-04-13 07:57:03 | linearised | 2 | 108824 | 6 | 3.080 | 35332.5 |
| 371 | 2025-04-10 14:49:47 | linearised | 3 | 140603 | 18 | 6.750 | 20830.1 |
| 370 | 2025-04-10 08:48:17 | linearised | 1 | 67641 | 4 | 1.436 | 47103.8 |
| 369 | 2025-04-09 16:19:36 | linearised | 2 | 108824 | 6 | 15.873 | 6855.9 |
| 368 | 2025-04-09 08:55:54 | linearised | 3 | 140603 | 18 | 31.063 | 4526.4 |
| 367 | 2025-03-28 20:44:24 | linearised | 1 | 67641 | 4 | 7.500 | 9018.8 |
| 366 | 2025-03-28 11:08:33 | linearised | 4 | 161450 | 144 | 51.770 | 3118.6 |
| 365 | 2025-03-26 20:26:07 | linearised | 1 | 67641 | 4 | 2.983 | 22675.5 |
| 364 | 2025-03-26 12:32:29 | linearised | 4 | 161450 | 144 | 60.876 | 2652.1 |
| 363 | 2025-03-21 02:31:43 | linearised | 4 | 161450 | 144 | 55.863 | 2890.1 |
| 362 | 2025-03-18 23:17:02 | linearised | 4 | 161450 | 144 | 11.233 | 14372.8 |
| 361 | 2025-03-17 16:30:10 | linearised | 3 | 140603 | 18 | 25.376 | 5540.8 |
| 360 | 2025-03-08 23:30:56 | linearised | 3 | 140603 | 18 | 31.610 | 4448.1 |
| 359 | 2025-03-06 10:37:26 | linearised | 2 | 108824 | 6 | 22.596 | 4816.1 |
| 358 | 2025-03-06 10:36:03 | linearised | 1 | 67641 | 4 | 5.406 | 12512.2 |
| 357 | 2025-03-06 10:22:52 | linearised | 3 | 140603 | 18 | 32.516 | 4324.1 |
| 356 | 2025-03-05 03:35:52 | linearised | 3 | 140603 | 18 | 37.906 | 3709.3 |
| 355 | 2025-03-05 03:35:51 | linearised | 2 | 108824 | 6 | 7.516 | 14479.0 |
| 354 | 2025-03-05 03:35:03 | linearised | 1 | 67641 | 4 | 3.390 | 19953.1 |
| 353 | 2025-03-03 10:13:02 | linearised | 1 | 67641 | 4 | 0.983 | 68810.8 |
| 352 | 2025-02-22 22:43:01 | linearised | 4 | 161450 | 144 | 59.800 | 2699.8 |
| 351 | 2025-02-22 13:47:58 | linearised | 4 | 161450 | 144 | 62.083 | 2600.6 |
| 350 | 2025-02-21 22:34:24 | linearised | 4 | 161450 | 144 | 59.876 | 2696.4 |
| 349 | 2025-02-21 22:09:33 | linearised | 4 | 161450 | 144 | 71.096 | 2270.9 |
| 348 | 2025-02-21 21:27:42 | linearised | 4 | 161450 | 144 | 38.190 | 4227.5 |
| 347 | 2025-02-18 06:15:12 | linearised | 3 | 140603 | 18 | 28.093 | 5004.9 |
| 346 | 2025-02-18 06:15:11 | linearised | 2 | 108824 | 6 | 15.390 | 7071.1 |
| 345 | 2025-02-18 06:14:02 | linearised | 1 | 67641 | 4 | 8.016 | 8438.2 |
| 344 | 2025-02-03 15:27:23 | linearised | 1 | 67641 | 4 | 4.453 | 15190.0 |
| 343 | 2025-01-27 17:17:52 | linearised | 3 | 140603 | 18 | 33.140 | 4242.7 |
| 342 | 2025-01-27 17:17:56 | linearised | 2 | 108824 | 6 | 8.296 | 13117.6 |
| 341 | 2025-01-27 16:05:01 | linearised | 1 | 67641 | 4 | 3.266 | 20710.7 |
| 340 | 2025-01-22 06:48:51 | linearised | 1 | 67641 | 4 | 6.156 | 10987.8 |
| 339 | 2025-01-21 15:02:16 | linearised | 2 | 108824 | 6 | 15.096 | 7208.8 |
| 338 | 2025-01-19 06:14:55 | linearised | 3 | 140603 | 18 | 27.936 | 5033.0 |
| 337 | 2025-01-17 05:43:48 | linearised | 3 | 140603 | 18 | 28.860 | 4871.9 |
| 336 | 2025-01-17 05:27:50 | linearised | 4 | 161450 | 144 | 80.613 | 2002.8 |
| 335 | 2025-01-17 05:27:48 | linearised | 3 | 140603 | 18 | 48.490 | 2899.6 |
| 334 | 2025-01-17 05:27:49 | linearised | 2 | 108824 | 6 | 22.923 | 4747.4 |
| 333 | 2025-01-17 05:24:03 | linearised | 1 | 67641 | 4 | 5.390 | 12549.4 |
| 332 | 2025-01-01 15:16:19 | linearised | 1 | 67641 | 4 | 5.393 | 12542.4 |
| 331 | 2024-12-21 01:18:39 | linearised | 1 | 67641 | 4 | 5.173 | 13075.8 |
| 330 | 2024-12-21 00:56:39 | linearised | 1 | 67641 | 4 | 5.420 | 12479.9 |
| 329 | 2024-12-14 19:58:04 | linearised | 1 | 67641 | 4 | 6.810 | 9932.6 |
| 328 | 2024-12-11 02:42:28 | linearised | 3 | 140603 | 18 | 27.610 | 5092.5 |
| 327 | 2024-12-08 14:44:35 | linearised | 3 | 140603 | 18 | 39.520 | 3557.8 |
| 326 | 2024-12-08 14:44:39 | linearised | 2 | 108824 | 6 | 15.406 | 7063.7 |
| 325 | 2024-12-08 14:42:58 | linearised | 1 | 67641 | 4 | 5.313 | 12731.2 |
| 324 | 2024-11-25 13:59:50 | linearised | 2 | 108824 | 6 | 11.580 | 9397.6 |
| 323 | 2024-11-25 13:58:28 | linearised | 1 | 67641 | 4 | 1.940 | 34866.5 |
| 322 | 2024-11-20 07:32:39 | linearised | 3 | 140603 | 18 | 39.110 | 3595.1 |
| 321 | 2024-11-19 14:35:11 | linearised | 4 | 161450 | 144 | 57.910 | 2787.9 |
| 320 | 2024-11-19 14:34:47 | linearised | 3 | 140603 | 18 | 23.533 | 5974.7 |
| 319 | 2024-11-19 12:15:50 | linearised | 1 | 67641 | 4 | 2.110 | 32057.3 |
| 318 | 2024-11-18 06:34:28 | linearised | 4 | 161450 | 144 | 64.006 | 2522.4 |
| 317 | 2024-11-16 01:45:45 | linearised | 3 | 140603 | 18 | 21.813 | 6445.8 |
| 316 | 2024-11-15 21:40:51 | linearised | 4 | 161450 | 144 | 61.910 | 2607.8 |
| 315 | 2024-11-15 21:40:58 | linearised | 3 | 140603 | 18 | 32.970 | 4264.6 |
| 314 | 2024-11-15 21:41:03 | linearised | 2 | 108824 | 6 | 14.956 | 7276.3 |