History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"linearize"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 404 | 2026-02-01 05:05:56 | linearize | 4 | 165329 | 222 | 13.220 | 12506.0 |
| 403 | 2026-02-01 04:50:37 | linearize | 2 | 121436 | 7 | 3.420 | 35507.6 |
| 402 | 2026-02-01 03:27:17 | linearize | 4 | 165329 | 222 | 31.283 | 5284.9 |
| 401 | 2026-02-01 01:12:46 | linearize | 3 | 148641 | 28 | 8.986 | 16541.4 |
| 400 | 2026-01-31 23:56:21 | linearize | 1 | 81242 | 4 | 1.423 | 57092.1 |
| 399 | 2026-01-31 19:15:59 | linearize | 1 | 81242 | 4 | 1.533 | 52995.4 |
| 398 | 2026-01-31 16:04:01 | linearize | 4 | 165329 | 222 | 11.906 | 13886.2 |
| 397 | 2026-01-31 12:09:13 | linearize | 2 | 121436 | 7 | 6.326 | 19196.3 |
| 396 | 2026-01-31 08:40:12 | linearize | 3 | 148641 | 28 | 7.626 | 19491.3 |
| 395 | 2026-01-31 08:40:00 | linearize | 4 | 165329 | 222 | 11.546 | 14319.2 |
| 394 | 2026-01-31 07:08:54 | linearize | 1 | 81242 | 4 | 1.716 | 47343.8 |
| 393 | 2026-01-31 06:41:41 | linearize | 1 | 81242 | 4 | 2.330 | 34867.8 |
| 392 | 2026-01-21 16:31:56 | linearize | 1 | 81242 | 4 | 1.436 | 56575.2 |
| 391 | 2026-01-14 00:52:38 | linearize | 1 | 81242 | 4 | 6.703 | 12120.2 |
| 390 | 2026-01-14 00:52:23 | linearize | 1 | 81242 | 4 | 4.076 | 19931.8 |
| 389 | 2026-01-14 00:51:28 | linearize | 1 | 81242 | 4 | 6.563 | 12378.8 |
| 388 | 2026-01-14 00:51:09 | linearize | 1 | 81242 | 4 | 3.830 | 21212.0 |
| 387 | 2026-01-14 00:50:59 | linearize | 1 | 81242 | 4 | 6.593 | 12322.5 |
| 386 | 2026-01-14 00:50:15 | linearize | 1 | 81242 | 4 | 3.516 | 23106.4 |
| 385 | 2026-01-14 00:47:44 | linearize | 1 | 81242 | 4 | 6.203 | 13097.2 |
| 384 | 2026-01-14 00:47:31 | linearize | 1 | 81242 | 4 | 6.766 | 12007.4 |
| 383 | 2026-01-13 05:27:02 | linearize | 2 | 121436 | 7 | 4.470 | 27166.9 |
| 382 | 2026-01-12 18:31:13 | linearize | 4 | 165329 | 222 | 14.033 | 11781.4 |
| 381 | 2026-01-09 13:46:11 | linearize | 4 | 165329 | 222 | 13.143 | 12579.2 |
| 380 | 2026-01-06 15:53:07 | linearize | 1 | 81242 | 4 | 1.470 | 55266.7 |
| 379 | 2026-01-03 13:04:59 | linearize | 1 | 81242 | 4 | 1.263 | 64324.6 |
| 378 | 2026-01-02 06:13:12 | linearize | 1 | 81242 | 4 | 5.920 | 13723.3 |
| 377 | 2026-01-01 07:49:44 | linearize | 1 | 81242 | 4 | 2.623 | 30972.9 |
| 376 | 2025-12-31 13:20:41 | linearize | 4 | 165329 | 222 | 44.376 | 3725.6 |
| 375 | 2025-12-28 07:55:50 | linearize | 1 | 81242 | 4 | 1.423 | 57092.1 |
| 374 | 2025-12-23 08:47:30 | linearize | 1 | 81242 | 4 | 1.326 | 61268.5 |
| 373 | 2025-12-22 13:20:48 | linearize | 1 | 81242 | 4 | 1.376 | 59042.2 |
| 372 | 2025-12-18 22:08:12 | linearize | 2 | 121436 | 7 | 3.530 | 34401.1 |
| 371 | 2025-12-17 08:08:04 | linearize | 4 | 165329 | 222 | 13.470 | 12273.9 |
| 370 | 2025-12-17 07:08:00 | linearize | 1 | 81242 | 4 | 1.436 | 56575.2 |
| 369 | 2025-12-16 19:29:31 | linearize | 1 | 81242 | 4 | 1.390 | 58447.5 |
| 368 | 2025-12-16 02:14:28 | linearize | 4 | 165329 | 222 | 22.610 | 7312.2 |
| 367 | 2025-12-14 13:51:21 | linearize | 1 | 81242 | 4 | 2.000 | 40621.0 |
| 366 | 2025-12-13 17:40:19 | linearize | 2 | 121436 | 7 | 4.500 | 26985.8 |
| 365 | 2025-12-13 15:21:19 | linearize | 3 | 148641 | 28 | 6.420 | 23152.8 |
| 364 | 2025-12-13 08:17:41 | linearize | 3 | 148641 | 28 | 10.423 | 14260.9 |
| 363 | 2025-12-11 23:44:16 | linearize | 3 | 148641 | 28 | 41.020 | 3623.6 |
| 362 | 2025-11-30 23:23:11 | linearize | 2 | 121436 | 7 | 3.170 | 38307.9 |
| 361 | 2025-11-27 02:08:21 | linearize | 4 | 165329 | 222 | 13.330 | 12402.8 |
| 360 | 2025-11-22 16:29:16 | linearize | 4 | 165329 | 222 | 23.846 | 6933.2 |
| 359 | 2025-11-22 14:38:33 | linearize | 4 | 165329 | 222 | 33.346 | 4958.0 |
| 358 | 2025-11-21 12:54:00 | linearize | 4 | 165329 | 222 | 13.186 | 12538.2 |
| 357 | 2025-11-14 19:48:54 | linearize | 1 | 81242 | 4 | 1.373 | 59171.2 |
| 356 | 2025-11-13 12:12:15 | linearize | 1 | 81242 | 4 | 1.420 | 57212.7 |
| 355 | 2025-11-01 22:50:47 | linearize | 2 | 121436 | 7 | 3.453 | 35168.3 |
| 354 | 2025-10-30 00:08:09 | linearize | 2 | 121436 | 7 | 3.593 | 33797.9 |
| 353 | 2025-10-29 11:08:07 | linearize | 4 | 165329 | 222 | 15.716 | 10519.8 |
| 352 | 2025-10-29 00:23:39 | linearize | 1 | 81242 | 4 | 1.360 | 59736.8 |
| 351 | 2025-10-26 13:33:44 | linearize | 1 | 81242 | 4 | 1.420 | 57212.7 |
| 350 | 2025-10-24 15:35:46 | linearize | 1 | 81242 | 4 | 1.266 | 64172.2 |
| 349 | 2025-10-13 15:59:30 | linearize | 1 | 81242 | 4 | 1.440 | 56418.1 |
| 348 | 2025-10-08 05:22:09 | linearize | 2 | 121436 | 7 | 3.560 | 34111.2 |
| 347 | 2025-09-11 12:48:26 | linearize | 1 | 81242 | 4 | 1.406 | 57782.4 |
| 346 | 2025-09-10 17:20:49 | linearize | 1 | 81242 | 4 | 2.046 | 39707.7 |
| 345 | 2025-09-10 06:00:58 | linearize | 3 | 148641 | 28 | 7.030 | 21143.8 |
| 344 | 2025-09-09 09:54:01 | linearize | 2 | 121436 | 7 | 3.296 | 36843.4 |
| 343 | 2025-09-09 02:17:24 | linearize | 3 | 148641 | 28 | 7.170 | 20731.0 |
| 342 | 2025-09-06 05:36:48 | linearize | 4 | 165329 | 222 | 12.906 | 12810.2 |
| 341 | 2025-09-05 10:20:04 | linearize | 3 | 148641 | 28 | 6.326 | 23496.8 |
| 340 | 2025-08-31 18:12:24 | linearize | 1 | 81242 | 4 | 1.393 | 58321.6 |
| 339 | 2025-08-26 13:36:57 | linearize | 2 | 121436 | 7 | 3.550 | 34207.3 |
| 338 | 2025-08-26 12:01:50 | linearize | 3 | 148641 | 28 | 7.300 | 20361.8 |
| 337 | 2025-08-26 08:52:36 | linearize | 4 | 165329 | 222 | 13.313 | 12418.6 |
| 336 | 2025-08-26 05:17:39 | linearize | 3 | 148641 | 28 | 7.483 | 19863.8 |
| 335 | 2025-08-24 23:05:44 | linearize | 1 | 81242 | 4 | 4.486 | 18110.1 |
| 334 | 2025-08-18 18:42:17 | linearize | 2 | 121436 | 7 | 3.550 | 34207.3 |
| 333 | 2025-08-10 08:18:11 | linearize | 1 | 81242 | 4 | 3.296 | 24648.7 |
| 332 | 2025-08-04 14:24:29 | linearize | 1 | 81242 | 4 | 1.420 | 57212.7 |
| 331 | 2025-07-29 15:06:04 | linearize | 2 | 121436 | 7 | 12.346 | 9836.1 |
| 330 | 2025-07-26 00:01:16 | linearize | 1 | 81242 | 4 | 5.016 | 16196.6 |
| 329 | 2025-07-11 17:51:19 | linearize | 1 | 81242 | 4 | 3.253 | 24974.5 |
| 328 | 2025-07-02 07:05:13 | linearize | 1 | 81242 | 4 | 3.266 | 24875.1 |
| 327 | 2025-06-08 12:28:57 | linearize | 3 | 148641 | 28 | 37.736 | 3939.0 |
| 326 | 2025-06-06 11:46:05 | linearize | 3 | 148641 | 28 | 24.906 | 5968.1 |
| 325 | 2025-06-06 10:30:01 | linearize | 2 | 121436 | 7 | 17.843 | 6805.8 |
| 324 | 2025-06-05 09:50:13 | linearize | 1 | 81242 | 4 | 1.436 | 56575.2 |
| 323 | 2025-06-05 02:28:14 | linearize | 1 | 81242 | 4 | 6.720 | 12089.6 |
| 322 | 2025-05-30 18:28:48 | linearize | 4 | 165329 | 222 | 13.033 | 12685.4 |
| 321 | 2025-05-29 06:34:50 | linearize | 1 | 81242 | 4 | 5.596 | 14517.9 |
| 320 | 2025-05-23 03:00:37 | linearize | 2 | 121436 | 7 | 3.670 | 33088.8 |
| 319 | 2025-05-16 09:37:24 | linearize | 1 | 81242 | 4 | 5.700 | 14253.0 |
| 318 | 2025-05-15 23:46:00 | linearize | 4 | 165329 | 222 | 80.206 | 2061.3 |
| 317 | 2025-05-09 21:01:15 | linearize | 4 | 165329 | 222 | 79.783 | 2072.2 |
| 316 | 2025-05-09 14:18:28 | linearize | 3 | 148641 | 28 | 7.406 | 20070.3 |
| 315 | 2025-05-07 13:03:18 | linearize | 3 | 148641 | 28 | 18.796 | 7908.1 |
| 314 | 2025-05-07 10:25:49 | linearize | 3 | 148641 | 28 | 13.953 | 10653.0 |
| 313 | 2025-05-03 16:40:49 | linearize | 3 | 148641 | 28 | 6.936 | 21430.4 |
| 312 | 2025-04-30 16:32:17 | linearize | 3 | 148641 | 28 | 27.096 | 5485.7 |
| 311 | 2025-04-28 06:45:34 | linearize | 1 | 81242 | 4 | 3.640 | 22319.2 |
| 310 | 2025-04-26 11:22:02 | linearize | 3 | 148641 | 28 | 36.110 | 4116.3 |
| 309 | 2025-04-26 10:07:03 | linearize | 2 | 121436 | 7 | 8.216 | 14780.4 |
| 308 | 2025-04-26 03:58:14 | linearize | 4 | 165329 | 222 | 58.596 | 2821.5 |
| 307 | 2025-04-25 09:54:31 | linearize | 1 | 81242 | 4 | 1.296 | 62686.7 |
| 306 | 2025-04-17 13:33:15 | linearize | 2 | 121436 | 7 | 20.126 | 6033.8 |
| 305 | 2025-04-17 03:15:08 | linearize | 3 | 148641 | 28 | 7.860 | 18911.1 |