History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"linearized"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 448 | 2026-02-01 23:23:37 | linearized | 2 | 108824 | 6 | 3.186 | 34156.9 |
| 447 | 2026-02-01 23:00:16 | linearized | 1 | 67641 | 4 | 1.110 | 60937.8 |
| 446 | 2026-02-01 21:39:32 | linearized | 1 | 67641 | 4 | 1.126 | 60071.9 |
| 445 | 2026-01-28 13:17:18 | linearized | 4 | 161450 | 164 | 12.936 | 12480.7 |
| 444 | 2026-01-28 06:22:59 | linearized | 4 | 161450 | 164 | 12.626 | 12787.1 |
| 443 | 2026-01-23 02:56:13 | linearized | 4 | 161450 | 164 | 10.440 | 15464.6 |
| 442 | 2026-01-21 18:28:00 | linearized | 1 | 67641 | 4 | 1.110 | 60937.8 |
| 441 | 2026-01-21 13:31:08 | linearized | 4 | 161450 | 164 | 12.220 | 13211.9 |
| 440 | 2026-01-19 00:03:25 | linearized | 1 | 67641 | 4 | 1.110 | 60937.8 |
| 439 | 2026-01-16 01:55:05 | linearized | 1 | 67641 | 4 | 3.140 | 21541.7 |
| 438 | 2026-01-16 01:10:52 | linearized | 1 | 67641 | 4 | 1.236 | 54725.7 |
| 437 | 2026-01-15 13:42:17 | linearized | 2 | 108824 | 6 | 2.920 | 37268.5 |
| 436 | 2026-01-13 03:25:43 | linearized | 4 | 161450 | 164 | 10.000 | 16145.0 |
| 435 | 2026-01-11 23:01:04 | linearized | 2 | 108824 | 6 | 2.813 | 38686.1 |
| 434 | 2026-01-11 04:16:13 | linearized | 4 | 161450 | 164 | 12.173 | 13263.0 |
| 433 | 2026-01-10 12:50:18 | linearized | 2 | 108824 | 6 | 3.030 | 35915.5 |
| 432 | 2026-01-03 07:06:25 | linearized | 1 | 67641 | 4 | 1.156 | 58513.0 |
| 431 | 2026-01-01 19:22:49 | linearized | 1 | 67641 | 4 | 1.143 | 59178.5 |
| 430 | 2026-01-01 12:47:58 | linearized | 1 | 67641 | 4 | 1.623 | 41676.5 |
| 429 | 2026-01-01 03:01:21 | linearized | 1 | 67641 | 4 | 1.080 | 62630.6 |
| 428 | 2025-12-30 03:58:53 | linearized | 4 | 161450 | 164 | 11.546 | 13983.2 |
| 427 | 2025-12-28 07:07:06 | linearized | 1 | 67641 | 4 | 1.216 | 55625.8 |
| 426 | 2025-12-27 12:56:14 | linearized | 1 | 67641 | 4 | 1.123 | 60232.4 |
| 425 | 2025-12-24 11:55:54 | linearized | 1 | 67641 | 4 | 1.013 | 66773.0 |
| 424 | 2025-12-23 10:27:20 | linearized | 1 | 67641 | 4 | 1.170 | 57812.8 |
| 423 | 2025-12-23 08:54:55 | linearized | 1 | 67641 | 4 | 1.673 | 40431.0 |
| 422 | 2025-12-17 22:46:52 | linearized | 1 | 67641 | 4 | 1.093 | 61885.6 |
| 421 | 2025-12-16 15:45:05 | linearized | 1 | 67641 | 4 | 1.123 | 60232.4 |
| 420 | 2025-12-14 11:12:37 | linearized | 4 | 161450 | 164 | 11.986 | 13469.9 |
| 419 | 2025-12-13 11:54:07 | linearized | 1 | 67641 | 4 | 1.000 | 67641.0 |
| 418 | 2025-12-13 06:15:30 | linearized | 4 | 161450 | 164 | 32.610 | 4950.9 |
| 417 | 2025-12-13 02:45:11 | linearized | 1 | 67641 | 4 | 1.013 | 66773.0 |
| 416 | 2025-12-10 05:00:06 | linearized | 4 | 161450 | 164 | 10.186 | 15850.2 |
| 415 | 2025-12-04 14:31:44 | linearized | 4 | 161450 | 164 | 11.216 | 14394.6 |
| 414 | 2025-12-04 08:49:40 | linearized | 4 | 161450 | 164 | 12.156 | 13281.5 |
| 413 | 2025-12-02 21:20:50 | linearized | 1 | 67641 | 4 | 5.140 | 13159.7 |
| 412 | 2025-12-01 16:46:45 | linearized | 1 | 67641 | 4 | 1.030 | 65670.9 |
| 411 | 2025-11-24 14:11:04 | linearized | 4 | 161450 | 164 | 14.013 | 11521.4 |
| 410 | 2025-11-22 14:59:33 | linearized | 3 | 140603 | 23 | 6.563 | 21423.6 |
| 409 | 2025-11-22 11:37:17 | linearized | 1 | 67641 | 4 | 1.173 | 57665.0 |
| 408 | 2025-11-21 22:18:43 | linearized | 4 | 161450 | 164 | 11.876 | 13594.6 |
| 407 | 2025-11-21 02:48:31 | linearized | 1 | 67641 | 4 | 2.766 | 24454.4 |
| 406 | 2025-11-20 19:05:47 | linearized | 4 | 161450 | 164 | 10.140 | 15922.1 |
| 405 | 2025-11-18 17:19:04 | linearized | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 404 | 2025-11-14 04:13:22 | linearized | 1 | 67641 | 4 | 1.140 | 59334.2 |
| 403 | 2025-11-13 11:21:14 | linearized | 1 | 67641 | 4 | 1.016 | 66575.8 |
| 402 | 2025-11-13 07:22:08 | linearized | 4 | 161450 | 164 | 10.753 | 15014.4 |
| 401 | 2025-11-07 06:31:05 | linearized | 2 | 108824 | 6 | 2.893 | 37616.3 |
| 400 | 2025-11-05 17:17:13 | linearized | 3 | 140603 | 23 | 6.640 | 21175.2 |
| 399 | 2025-11-05 17:02:16 | linearized | 2 | 108824 | 6 | 3.030 | 35915.5 |
| 398 | 2025-11-04 21:26:24 | linearized | 2 | 108824 | 6 | 3.296 | 33017.0 |
| 397 | 2025-11-04 12:49:00 | linearized | 4 | 161450 | 164 | 11.830 | 13647.5 |
| 396 | 2025-10-28 12:40:50 | linearized | 1 | 67641 | 4 | 1.016 | 66575.8 |
| 395 | 2025-10-28 07:15:12 | linearized | 4 | 161450 | 164 | 10.843 | 14889.8 |
| 394 | 2025-10-26 08:44:06 | linearized | 4 | 161450 | 164 | 10.360 | 15584.0 |
| 393 | 2025-10-26 05:04:30 | linearized | 4 | 161450 | 164 | 12.016 | 13436.3 |
| 392 | 2025-10-25 18:02:12 | linearized | 1 | 67641 | 4 | 1.000 | 67641.0 |
| 391 | 2025-10-25 14:27:54 | linearized | 1 | 67641 | 4 | 1.030 | 65670.9 |
| 390 | 2025-10-25 10:07:01 | linearized | 1 | 67641 | 4 | 1.080 | 62630.6 |
| 389 | 2025-10-23 01:02:21 | linearized | 4 | 161450 | 164 | 74.993 | 2152.9 |
| 388 | 2025-10-21 22:07:40 | linearized | 1 | 67641 | 4 | 5.450 | 12411.2 |
| 387 | 2025-10-17 22:10:40 | linearized | 4 | 161450 | 164 | 13.313 | 12127.2 |
| 386 | 2025-10-17 09:25:04 | linearized | 4 | 161450 | 164 | 31.563 | 5115.2 |
| 385 | 2025-10-09 20:49:37 | linearized | 3 | 140603 | 23 | 6.423 | 21890.5 |
| 384 | 2025-10-09 07:34:25 | linearized | 1 | 67641 | 4 | 1.236 | 54725.7 |
| 383 | 2025-10-04 08:29:29 | linearized | 4 | 161450 | 164 | 10.406 | 15515.1 |
| 382 | 2025-10-03 18:14:40 | linearized | 1 | 67641 | 4 | 1.030 | 65670.9 |
| 381 | 2025-09-25 23:46:15 | linearized | 1 | 67641 | 4 | 5.390 | 12549.4 |
| 380 | 2025-09-24 18:29:42 | linearized | 4 | 161450 | 164 | 11.700 | 13799.1 |
| 379 | 2025-09-18 00:01:18 | linearized | 1 | 67641 | 4 | 1.093 | 61885.6 |
| 378 | 2025-09-16 13:23:37 | linearized | 4 | 161450 | 164 | 12.173 | 13263.0 |
| 377 | 2025-09-15 09:04:03 | linearized | 2 | 108824 | 6 | 2.626 | 41441.0 |
| 376 | 2025-09-11 08:25:43 | linearized | 2 | 108824 | 6 | 3.123 | 34846.0 |
| 375 | 2025-09-09 22:07:28 | linearized | 4 | 161450 | 164 | 11.080 | 14571.3 |
| 374 | 2025-09-07 19:35:42 | linearized | 4 | 161450 | 164 | 10.670 | 15131.2 |
| 373 | 2025-09-07 13:25:22 | linearized | 1 | 67641 | 4 | 1.250 | 54112.8 |
| 372 | 2025-09-06 07:44:13 | linearized | 1 | 67641 | 4 | 1.123 | 60232.4 |
| 371 | 2025-09-05 17:19:12 | linearized | 3 | 140603 | 23 | 5.500 | 25564.2 |
| 370 | 2025-09-01 13:11:50 | linearized | 2 | 108824 | 6 | 2.890 | 37655.4 |
| 369 | 2025-09-01 03:40:50 | linearized | 4 | 161450 | 164 | 11.080 | 14571.3 |
| 368 | 2025-08-31 05:19:18 | linearized | 4 | 161450 | 164 | 11.640 | 13870.3 |
| 367 | 2025-08-29 19:58:12 | linearized | 4 | 161450 | 164 | 13.486 | 11971.7 |
| 366 | 2025-08-25 23:09:04 | linearized | 3 | 140603 | 23 | 6.546 | 21479.2 |
| 365 | 2025-08-24 12:36:29 | linearized | 1 | 67641 | 4 | 1.236 | 54725.7 |
| 364 | 2025-08-23 09:24:55 | linearized | 1 | 67641 | 4 | 7.690 | 8796.0 |
| 363 | 2025-08-20 19:47:59 | linearized | 1 | 67641 | 4 | 2.830 | 23901.4 |
| 362 | 2025-08-18 13:56:36 | linearized | 1 | 67641 | 4 | 1.170 | 57812.8 |
| 361 | 2025-08-15 15:30:16 | linearized | 1 | 67641 | 4 | 5.376 | 12582.0 |
| 360 | 2025-08-10 07:32:08 | linearized | 2 | 108824 | 6 | 6.986 | 15577.4 |
| 359 | 2025-08-09 16:36:34 | linearized | 1 | 67641 | 4 | 1.153 | 58665.2 |
| 358 | 2025-08-09 10:57:18 | linearized | 1 | 67641 | 4 | 5.716 | 11833.6 |
| 357 | 2025-07-29 22:00:40 | linearized | 3 | 140603 | 23 | 42.203 | 3331.6 |
| 356 | 2025-07-22 08:51:17 | linearized | 1 | 67641 | 4 | 1.140 | 59334.2 |
| 355 | 2025-07-22 02:22:23 | linearized | 4 | 161450 | 164 | 47.736 | 3382.1 |
| 354 | 2025-07-20 00:18:37 | linearized | 4 | 161450 | 164 | 12.110 | 13332.0 |
| 353 | 2025-07-19 08:10:02 | linearized | 4 | 161450 | 164 | 12.236 | 13194.7 |
| 352 | 2025-07-18 17:36:08 | linearized | 4 | 161450 | 164 | 53.520 | 3016.6 |
| 351 | 2025-07-16 10:27:59 | linearized | 1 | 67641 | 4 | 5.423 | 12473.0 |
| 350 | 2025-07-14 11:20:59 | linearized | 3 | 140603 | 23 | 27.703 | 5075.4 |
| 349 | 2025-07-14 01:47:22 | linearized | 4 | 161450 | 164 | 61.096 | 2642.6 |