History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"factorship"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 434 | 2025-11-01 12:57:23 | factorship | 1 | 67641 | 2 | 1.220 | 55443.4 |
| 433 | 2025-09-13 00:24:46 | factorship | 3 | 140603 | 18 | 6.236 | 22547.0 |
| 432 | 2025-08-31 07:42:00 | factorship | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 431 | 2025-08-30 04:41:28 | factorship | 1 | 67641 | 2 | 1.033 | 65480.2 |
| 430 | 2025-08-25 04:45:50 | factorship | 1 | 67641 | 2 | 5.330 | 12690.6 |
| 429 | 2025-08-09 07:27:15 | factorship | 1 | 67641 | 2 | 2.986 | 22652.7 |
| 428 | 2025-07-25 23:33:29 | factorship | 1 | 67641 | 2 | 1.626 | 41599.6 |
| 427 | 2025-07-25 01:13:57 | factorship | 1 | 67641 | 2 | 4.893 | 13824.0 |
| 426 | 2025-07-24 21:28:24 | factorship | 1 | 67641 | 2 | 4.186 | 16158.9 |
| 425 | 2025-07-23 05:20:02 | factorship | 1 | 67641 | 2 | 2.656 | 25467.2 |
| 424 | 2025-07-02 10:27:21 | factorship | 3 | 140603 | 18 | 44.000 | 3195.5 |
| 423 | 2025-07-02 07:40:17 | factorship | 2 | 108824 | 5 | 9.190 | 11841.6 |
| 422 | 2025-06-20 14:50:56 | factorship | 2 | 108824 | 5 | 17.936 | 6067.4 |
| 421 | 2025-06-18 13:45:02 | factorship | 3 | 140603 | 18 | 21.580 | 6515.4 |
| 420 | 2025-06-12 10:54:33 | factorship | 3 | 140603 | 18 | 37.626 | 3736.9 |
| 419 | 2025-06-12 10:16:57 | factorship | 2 | 108824 | 5 | 11.110 | 9795.1 |
| 418 | 2025-06-12 02:05:53 | factorship | 1 | 67641 | 2 | 5.576 | 12130.7 |
| 417 | 2025-06-07 20:39:21 | factorship | 1 | 67641 | 2 | 5.560 | 12165.6 |
| 416 | 2025-06-02 02:22:33 | factorship | 3 | 140603 | 18 | 19.330 | 7273.8 |
| 415 | 2025-05-31 07:14:39 | factorship | 2 | 108824 | 5 | 8.250 | 13190.8 |
| 414 | 2025-05-30 20:35:29 | factorship | 3 | 140603 | 18 | 11.733 | 11983.6 |
| 413 | 2025-05-30 05:13:07 | factorship | 1 | 67641 | 2 | 3.376 | 20035.8 |
| 412 | 2025-05-12 01:13:09 | factorship | 1 | 67641 | 2 | 4.873 | 13880.8 |
| 411 | 2025-04-28 05:51:16 | factorship | 1 | 67641 | 2 | 5.266 | 12844.9 |
| 410 | 2025-04-06 09:16:53 | factorship | 1 | 67641 | 2 | 8.030 | 8423.5 |
| 409 | 2025-04-02 05:01:15 | factorship | 1 | 67641 | 2 | 8.016 | 8438.2 |
| 408 | 2025-03-20 01:42:55 | factorship | 1 | 67641 | 2 | 5.313 | 12731.2 |
| 407 | 2025-03-01 05:58:55 | factorship | 1 | 67641 | 2 | 5.250 | 12884.0 |
| 406 | 2025-03-01 05:18:19 | factorship | 3 | 140603 | 18 | 41.436 | 3393.3 |
| 405 | 2025-02-23 18:35:52 | factorship | 1 | 67641 | 2 | 5.346 | 12652.6 |
| 404 | 2025-02-21 07:00:29 | factorship | 3 | 140603 | 18 | 32.093 | 4381.1 |
| 403 | 2025-02-21 07:00:20 | factorship | 2 | 108824 | 5 | 15.423 | 7056.0 |
| 402 | 2025-02-20 14:38:49 | factorship | 2 | 108824 | 5 | 7.313 | 14880.9 |
| 401 | 2025-02-20 14:38:30 | factorship | 2 | 108824 | 5 | 16.266 | 6690.3 |
| 400 | 2025-02-20 14:37:47 | factorship | 1 | 67641 | 2 | 5.860 | 11542.8 |
| 399 | 2025-02-20 14:26:12 | factorship | 3 | 140603 | 18 | 49.876 | 2819.1 |
| 398 | 2025-02-20 14:26:21 | factorship | 3 | 140603 | 18 | 32.546 | 4320.1 |
| 397 | 2025-02-18 13:28:41 | factorship | 3 | 140603 | 18 | 32.160 | 4372.0 |
| 396 | 2025-02-16 12:25:34 | factorship | 3 | 140603 | 18 | 37.826 | 3717.1 |
| 395 | 2025-02-16 12:25:32 | factorship | 2 | 108824 | 5 | 23.110 | 4709.0 |
| 394 | 2025-02-16 12:22:27 | factorship | 3 | 140603 | 18 | 33.076 | 4250.9 |
| 393 | 2025-02-16 12:22:22 | factorship | 2 | 108824 | 5 | 15.093 | 7210.2 |
| 392 | 2025-02-16 12:21:09 | factorship | 1 | 67641 | 2 | 5.593 | 12093.9 |
| 391 | 2025-02-16 12:21:09 | factorship | 1 | 67641 | 2 | 5.640 | 11993.1 |
| 390 | 2025-02-15 13:53:12 | factorship | 4 | 161450 | 67 | 56.313 | 2867.0 |
| 389 | 2025-02-14 01:09:09 | factorship | 4 | 161450 | 67 | 56.406 | 2862.3 |
| 388 | 2025-01-19 04:43:52 | factorship | 4 | 161450 | 67 | 50.190 | 3216.8 |
| 387 | 2025-01-17 11:00:49 | factorship | 3 | 140603 | 18 | 26.206 | 5365.3 |
| 386 | 2025-01-17 11:00:52 | factorship | 2 | 108824 | 5 | 15.906 | 6841.7 |
| 385 | 2025-01-17 10:58:47 | factorship | 1 | 67641 | 2 | 5.360 | 12619.6 |
| 384 | 2025-01-14 17:09:54 | factorship | 4 | 161450 | 67 | 53.766 | 3002.8 |
| 383 | 2025-01-11 19:52:22 | factorship | 1 | 67641 | 2 | 5.906 | 11452.9 |
| 382 | 2025-01-11 16:05:37 | factorship | 3 | 140603 | 18 | 28.643 | 4908.8 |
| 381 | 2025-01-11 16:05:32 | factorship | 2 | 108824 | 5 | 14.516 | 7496.8 |
| 380 | 2025-01-11 03:52:54 | factorship | 1 | 67641 | 2 | 3.796 | 17819.0 |
| 379 | 2025-01-08 13:59:21 | factorship | 3 | 140603 | 18 | 30.113 | 4669.2 |
| 378 | 2025-01-08 02:31:16 | factorship | 3 | 140603 | 18 | 32.876 | 4276.8 |
| 377 | 2025-01-08 02:30:52 | factorship | 3 | 140603 | 18 | 39.906 | 3523.4 |
| 376 | 2025-01-08 02:30:57 | factorship | 2 | 108824 | 5 | 23.016 | 4728.2 |
| 375 | 2025-01-04 19:34:40 | factorship | 4 | 161450 | 67 | 49.063 | 3290.7 |
| 374 | 2025-01-04 19:34:44 | factorship | 3 | 140603 | 18 | 30.703 | 4579.5 |
| 373 | 2025-01-04 19:34:41 | factorship | 2 | 108824 | 5 | 15.376 | 7077.5 |
| 372 | 2025-01-04 19:34:25 | factorship | 1 | 67641 | 2 | 5.420 | 12479.9 |
| 371 | 2024-12-19 04:02:12 | factorship | 4 | 161450 | 67 | 73.630 | 2192.7 |
| 370 | 2024-12-14 03:03:08 | factorship | 3 | 140603 | 18 | 28.160 | 4993.0 |
| 369 | 2024-12-14 03:03:00 | factorship | 1 | 67641 | 2 | 3.720 | 18183.1 |
| 368 | 2024-12-12 19:15:09 | factorship | 3 | 140603 | 18 | 28.770 | 4887.1 |
| 367 | 2024-12-03 21:42:59 | factorship | 3 | 140603 | 18 | 32.096 | 4380.7 |
| 366 | 2024-12-03 21:42:30 | factorship | 3 | 140603 | 18 | 45.876 | 3064.8 |
| 365 | 2024-12-03 21:39:57 | factorship | 1 | 67641 | 2 | 4.436 | 15248.2 |
| 364 | 2024-12-03 13:47:51 | factorship | 3 | 140603 | 18 | 31.890 | 4409.0 |
| 363 | 2024-12-03 13:47:48 | factorship | 2 | 108824 | 5 | 15.860 | 6861.5 |
| 362 | 2024-12-03 13:47:10 | factorship | 3 | 140603 | 18 | 31.346 | 4485.5 |
| 361 | 2024-12-03 09:04:19 | factorship | 3 | 140603 | 18 | 31.913 | 4405.8 |
| 360 | 2024-12-03 09:04:20 | factorship | 2 | 108824 | 5 | 22.820 | 4768.8 |
| 359 | 2024-12-03 09:03:41 | factorship | 4 | 161450 | 67 | 61.160 | 2639.8 |
| 358 | 2024-12-03 08:56:55 | factorship | 1 | 67641 | 2 | 2.533 | 26703.9 |
| 357 | 2024-11-23 10:02:07 | factorship | 2 | 108824 | 5 | 10.750 | 10123.2 |
| 356 | 2024-11-22 16:40:08 | factorship | 4 | 161450 | 67 | 59.503 | 2713.3 |
| 355 | 2024-11-22 16:40:20 | factorship | 2 | 108824 | 5 | 9.640 | 11288.8 |
| 354 | 2024-11-20 07:12:54 | factorship | 1 | 67641 | 2 | 5.266 | 12844.9 |
| 353 | 2024-11-15 06:15:11 | factorship | 4 | 161450 | 67 | 33.173 | 4866.9 |
| 352 | 2024-11-14 23:11:34 | factorship | 4 | 161450 | 67 | 64.610 | 2498.8 |
| 351 | 2024-11-08 14:29:05 | factorship | 4 | 161450 | 67 | 73.250 | 2204.1 |
| 350 | 2024-11-07 15:58:10 | factorship | 1 | 67641 | 2 | 2.593 | 26086.0 |
| 349 | 2024-11-02 14:52:07 | factorship | 1 | 67641 | 2 | 3.203 | 21118.0 |
| 348 | 2024-11-01 01:57:08 | factorship | 3 | 140603 | 18 | 28.876 | 4869.2 |
| 347 | 2024-10-31 15:36:21 | factorship | 3 | 140603 | 18 | 30.206 | 4654.8 |
| 346 | 2024-10-24 13:47:05 | factorship | 3 | 140603 | 18 | 25.060 | 5610.7 |
| 345 | 2024-10-19 20:55:07 | factorship | 3 | 140603 | 18 | 30.533 | 4605.0 |
| 344 | 2024-10-19 20:55:13 | factorship | 2 | 108824 | 5 | 22.316 | 4876.5 |
| 343 | 2024-10-19 09:43:54 | factorship | 2 | 108824 | 5 | 8.220 | 13238.9 |
| 342 | 2024-10-19 09:42:32 | factorship | 1 | 67641 | 2 | 6.266 | 10794.9 |
| 341 | 2024-10-15 22:26:53 | factorship | 3 | 140603 | 18 | 40.393 | 3480.9 |
| 340 | 2024-10-15 22:27:07 | factorship | 2 | 108824 | 5 | 13.796 | 7888.1 |
| 339 | 2024-10-15 22:19:16 | factorship | 1 | 67641 | 2 | 5.266 | 12844.9 |
| 338 | 2024-10-15 00:22:51 | factorship | 3 | 140603 | 18 | 36.300 | 3873.4 |
| 337 | 2024-10-12 19:08:42 | factorship | 3 | 140603 | 18 | 27.643 | 5086.4 |
| 336 | 2024-10-12 06:31:15 | factorship | 3 | 140603 | 18 | 37.016 | 3798.4 |
| 335 | 2024-10-01 05:09:45 | factorship | 1 | 67641 | 2 | 10.203 | 6629.5 |