History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"clustered"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 434 | 2025-11-29 16:26:27 | clustered | 1 | 81242 | 5 | 1.436 | 56575.2 |
| 433 | 2025-11-25 21:07:37 | clustered | 1 | 81242 | 5 | 1.533 | 52995.4 |
| 432 | 2025-11-25 00:19:06 | clustered | 1 | 81242 | 5 | 1.390 | 58447.5 |
| 431 | 2025-11-24 00:16:52 | clustered | 3 | 148641 | 117 | 22.613 | 6573.3 |
| 430 | 2025-11-23 01:28:10 | clustered | 3 | 148641 | 117 | 11.550 | 12869.4 |
| 429 | 2025-11-13 09:22:24 | clustered | 3 | 148641 | 117 | 11.250 | 13212.5 |
| 428 | 2025-11-08 15:57:39 | clustered | 3 | 148641 | 117 | 6.173 | 24079.2 |
| 427 | 2025-11-07 13:28:17 | clustered | 3 | 148641 | 117 | 7.376 | 20152.0 |
| 426 | 2025-11-05 19:56:56 | clustered | 3 | 148641 | 117 | 7.876 | 18872.7 |
| 425 | 2025-11-04 14:26:06 | clustered | 3 | 148641 | 117 | 6.420 | 23152.8 |
| 424 | 2025-11-04 01:29:51 | clustered | 3 | 148641 | 117 | 7.186 | 20684.8 |
| 423 | 2025-11-02 07:08:33 | clustered | 3 | 148641 | 117 | 17.800 | 8350.6 |
| 422 | 2025-10-31 13:33:11 | clustered | 3 | 148641 | 117 | 6.953 | 21378.0 |
| 421 | 2025-10-29 18:46:55 | clustered | 2 | 121436 | 20 | 3.670 | 33088.8 |
| 420 | 2025-10-29 06:22:30 | clustered | 3 | 148641 | 117 | 10.766 | 13806.5 |
| 419 | 2025-10-27 06:01:15 | clustered | 3 | 148641 | 117 | 6.873 | 21626.8 |
| 418 | 2025-10-25 01:18:17 | clustered | 1 | 81242 | 5 | 1.436 | 56575.2 |
| 417 | 2025-10-24 21:55:27 | clustered | 1 | 81242 | 5 | 1.266 | 64172.2 |
| 416 | 2025-10-20 22:00:06 | clustered | 1 | 81242 | 5 | 6.110 | 13296.6 |
| 415 | 2025-10-17 21:00:00 | clustered | 3 | 148641 | 117 | 6.623 | 22443.2 |
| 414 | 2025-10-16 22:46:24 | clustered | 3 | 148641 | 117 | 7.406 | 20070.3 |
| 413 | 2025-10-10 03:18:03 | clustered | 2 | 121436 | 20 | 3.170 | 38307.9 |
| 412 | 2025-10-09 08:34:27 | clustered | 1 | 81242 | 5 | 1.390 | 58447.5 |
| 411 | 2025-10-08 16:28:28 | clustered | 1 | 81242 | 5 | 1.300 | 62493.8 |
| 410 | 2025-09-25 18:09:23 | clustered | 3 | 148641 | 117 | 25.936 | 5731.1 |
| 409 | 2025-09-17 15:40:55 | clustered | 3 | 148641 | 117 | 6.736 | 22066.7 |
| 408 | 2025-09-16 03:20:42 | clustered | 1 | 81242 | 5 | 1.423 | 57092.1 |
| 407 | 2025-09-13 10:52:11 | clustered | 3 | 148641 | 117 | 10.046 | 14796.0 |
| 406 | 2025-09-13 07:27:08 | clustered | 3 | 148641 | 117 | 7.280 | 20417.7 |
| 405 | 2025-09-12 17:58:44 | clustered | 3 | 148641 | 117 | 6.236 | 23836.0 |
| 404 | 2025-09-11 18:18:50 | clustered | 1 | 81242 | 5 | 1.593 | 50999.4 |
| 403 | 2025-09-05 18:26:54 | clustered | 2 | 121436 | 20 | 3.076 | 39478.5 |
| 402 | 2025-09-04 18:33:25 | clustered | 1 | 81242 | 5 | 1.643 | 49447.4 |
| 401 | 2025-09-01 12:16:05 | clustered | 3 | 148641 | 117 | 6.126 | 24264.0 |
| 400 | 2025-08-31 13:35:14 | clustered | 3 | 148641 | 117 | 7.203 | 20636.0 |
| 399 | 2025-08-29 17:26:18 | clustered | 1 | 81242 | 5 | 1.376 | 59042.2 |
| 398 | 2025-08-27 11:51:27 | clustered | 1 | 81242 | 5 | 1.423 | 57092.1 |
| 397 | 2025-08-27 02:43:08 | clustered | 1 | 81242 | 5 | 1.263 | 64324.6 |
| 396 | 2025-08-27 01:20:39 | clustered | 1 | 81242 | 5 | 1.373 | 59171.2 |
| 395 | 2025-08-26 08:34:07 | clustered | 3 | 148641 | 117 | 10.266 | 14479.0 |
| 394 | 2025-08-25 07:29:24 | clustered | 3 | 148641 | 117 | 33.956 | 4377.5 |
| 393 | 2025-08-23 07:50:00 | clustered | 3 | 148641 | 117 | 36.283 | 4096.7 |
| 392 | 2025-08-23 00:49:10 | clustered | 2 | 121436 | 20 | 13.440 | 9035.4 |
| 391 | 2025-08-22 00:18:14 | clustered | 2 | 121436 | 20 | 3.796 | 31990.5 |
| 390 | 2025-08-21 00:14:17 | clustered | 2 | 121436 | 20 | 10.640 | 11413.2 |
| 389 | 2025-08-20 11:26:13 | clustered | 1 | 81242 | 5 | 1.390 | 58447.5 |
| 388 | 2025-08-20 09:11:31 | clustered | 2 | 121436 | 20 | 3.143 | 38637.0 |
| 387 | 2025-08-19 02:51:25 | clustered | 2 | 121436 | 20 | 16.453 | 7380.8 |
| 386 | 2025-08-10 04:08:35 | clustered | 1 | 81242 | 5 | 2.766 | 29371.7 |
| 385 | 2025-08-01 14:07:26 | clustered | 1 | 81242 | 5 | 6.656 | 12205.8 |
| 384 | 2025-07-26 11:18:25 | clustered | 1 | 81242 | 5 | 2.830 | 28707.4 |
| 383 | 2025-07-26 10:20:17 | clustered | 1 | 81242 | 5 | 1.890 | 42985.2 |
| 382 | 2025-07-23 11:50:36 | clustered | 1 | 81242 | 5 | 6.780 | 11982.6 |
| 381 | 2025-07-22 19:54:54 | clustered | 1 | 81242 | 5 | 3.343 | 24302.1 |
| 380 | 2025-07-22 13:35:09 | clustered | 1 | 81242 | 5 | 6.080 | 13362.2 |
| 379 | 2025-07-21 19:41:14 | clustered | 1 | 81242 | 5 | 1.436 | 56575.2 |
| 378 | 2025-07-17 03:11:52 | clustered | 2 | 121436 | 20 | 12.013 | 10108.7 |
| 377 | 2025-07-16 02:21:11 | clustered | 3 | 148641 | 117 | 7.390 | 20113.8 |
| 376 | 2025-07-14 19:55:10 | clustered | 3 | 148641 | 117 | 34.390 | 4322.2 |
| 375 | 2025-07-12 22:58:32 | clustered | 1 | 81242 | 5 | 3.970 | 20464.0 |
| 374 | 2025-07-12 21:43:24 | clustered | 1 | 81242 | 5 | 2.690 | 30201.5 |
| 373 | 2025-07-10 18:22:08 | clustered | 1 | 81242 | 5 | 6.140 | 13231.6 |
| 372 | 2025-07-07 14:59:14 | clustered | 1 | 81242 | 5 | 3.283 | 24746.3 |
| 371 | 2025-06-10 03:19:49 | clustered | 1 | 81242 | 5 | 3.800 | 21379.5 |
| 370 | 2025-06-09 22:38:28 | clustered | 1 | 81242 | 5 | 4.420 | 18380.5 |
| 369 | 2025-06-05 14:34:51 | clustered | 1 | 81242 | 5 | 7.220 | 11252.4 |
| 368 | 2025-05-23 02:28:08 | clustered | 1 | 81242 | 5 | 1.450 | 56029.0 |
| 367 | 2025-05-10 03:44:45 | clustered | 1 | 81242 | 5 | 6.483 | 12531.5 |
| 366 | 2025-05-08 04:06:06 | clustered | 1 | 81242 | 5 | 10.593 | 7669.4 |
| 365 | 2025-05-05 13:40:17 | clustered | 1 | 81242 | 5 | 3.000 | 27080.7 |
| 364 | 2025-05-04 14:57:26 | clustered | 1 | 81242 | 5 | 7.093 | 11453.8 |
| 363 | 2025-05-04 12:39:37 | clustered | 1 | 81242 | 5 | 6.126 | 13261.8 |
| 362 | 2025-05-03 22:48:39 | clustered | 1 | 81242 | 5 | 6.686 | 12151.1 |
| 361 | 2025-04-23 01:50:00 | clustered | 1 | 81242 | 5 | 3.313 | 24522.2 |
| 360 | 2025-04-08 03:25:27 | clustered | 1 | 81242 | 5 | 8.076 | 10059.7 |
| 359 | 2025-04-06 03:22:54 | clustered | 1 | 81242 | 5 | 6.466 | 12564.5 |
| 358 | 2025-04-04 14:31:33 | clustered | 1 | 81242 | 5 | 6.313 | 12869.0 |
| 357 | 2025-04-03 22:38:08 | clustered | 1 | 81242 | 5 | 7.563 | 10742.0 |
| 356 | 2025-04-03 04:59:34 | clustered | 1 | 81242 | 5 | 1.203 | 67532.8 |
| 355 | 2025-03-29 09:12:14 | clustered | 3 | 148641 | 117 | 51.520 | 2885.1 |
| 354 | 2025-03-24 07:32:54 | clustered | 2 | 121436 | 20 | 13.456 | 9024.7 |
| 353 | 2025-03-24 04:58:42 | clustered | 3 | 148641 | 117 | 34.016 | 4369.7 |
| 352 | 2025-03-22 02:24:12 | clustered | 1 | 81242 | 5 | 1.266 | 64172.2 |
| 351 | 2025-03-12 00:55:57 | clustered | 3 | 148641 | 117 | 42.080 | 3532.3 |
| 350 | 2025-03-08 20:32:16 | clustered | 3 | 148641 | 117 | 44.490 | 3341.0 |
| 349 | 2025-03-08 20:32:17 | clustered | 2 | 121436 | 20 | 16.126 | 7530.4 |
| 348 | 2025-03-08 20:24:40 | clustered | 1 | 81242 | 5 | 3.580 | 22693.3 |
| 347 | 2025-02-25 11:33:17 | clustered | 1 | 81242 | 5 | 2.970 | 27354.2 |
| 346 | 2025-02-25 02:00:52 | clustered | 3 | 148641 | 117 | 30.063 | 4944.3 |
| 345 | 2025-02-25 02:00:52 | clustered | 2 | 121436 | 20 | 16.983 | 7150.4 |
| 344 | 2025-02-24 15:44:00 | clustered | 1 | 81242 | 5 | 1.250 | 64993.6 |
| 343 | 2025-02-24 05:08:03 | clustered | 3 | 148641 | 117 | 31.296 | 4749.5 |
| 342 | 2025-02-19 08:55:25 | clustered | 3 | 148641 | 117 | 36.033 | 4125.1 |
| 341 | 2025-02-16 20:50:33 | clustered | 1 | 81242 | 5 | 4.110 | 19766.9 |
| 340 | 2025-01-25 15:12:23 | clustered | 1 | 81242 | 5 | 1.406 | 57782.4 |
| 339 | 2025-01-22 00:49:40 | clustered | 1 | 81242 | 5 | 5.360 | 15157.1 |
| 338 | 2025-01-20 22:16:27 | clustered | 1 | 81242 | 5 | 4.686 | 17337.2 |
| 337 | 2024-12-31 20:23:02 | clustered | 3 | 148641 | 117 | 34.956 | 4252.2 |
| 336 | 2024-12-31 08:09:09 | clustered | 1 | 81242 | 5 | 6.330 | 12834.4 |
| 335 | 2024-12-27 11:30:48 | clustered | 3 | 148641 | 117 | 21.313 | 6974.2 |