History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"kinetoscope"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 442 | 2025-11-25 04:32:18 | kinetoscope | 2 | 86808 | 4 | 9.936 | 8736.7 |
| 441 | 2025-11-24 20:06:26 | kinetoscope | 2 | 86808 | 4 | 2.656 | 32683.7 |
| 440 | 2025-11-24 18:22:28 | kinetoscope | 4 | 148819 | 26 | 14.453 | 10296.8 |
| 439 | 2025-11-23 15:32:09 | kinetoscope | 1 | 49908 | 2 | 1.233 | 40476.9 |
| 438 | 2025-11-18 22:15:21 | kinetoscope | 4 | 148819 | 26 | 8.673 | 17158.9 |
| 437 | 2025-11-16 10:00:48 | kinetoscope | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 436 | 2025-11-12 12:03:14 | kinetoscope | 1 | 49908 | 2 | 0.810 | 61614.8 |
| 435 | 2025-11-11 05:11:44 | kinetoscope | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 434 | 2025-11-10 00:21:56 | kinetoscope | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 433 | 2025-11-06 11:45:36 | kinetoscope | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 432 | 2025-11-04 04:13:50 | kinetoscope | 1 | 49908 | 2 | 0.780 | 63984.6 |
| 431 | 2025-10-30 08:29:13 | kinetoscope | 1 | 49908 | 2 | 2.360 | 21147.5 |
| 430 | 2025-10-29 07:13:37 | kinetoscope | 5 | 164607 | 86 | 13.906 | 11837.1 |
| 429 | 2025-10-24 12:43:37 | kinetoscope | 2 | 86808 | 4 | 2.313 | 37530.5 |
| 428 | 2025-10-24 09:54:40 | kinetoscope | 4 | 148819 | 26 | 10.140 | 14676.4 |
| 427 | 2025-10-24 05:39:55 | kinetoscope | 4 | 148819 | 26 | 9.560 | 15566.8 |
| 426 | 2025-10-23 17:04:38 | kinetoscope | 1 | 49908 | 2 | 3.750 | 13308.8 |
| 425 | 2025-10-22 22:42:52 | kinetoscope | 3 | 121633 | 9 | 28.673 | 4242.1 |
| 424 | 2025-10-21 07:38:55 | kinetoscope | 3 | 121633 | 9 | 16.906 | 7194.7 |
| 423 | 2025-10-21 07:38:54 | kinetoscope | 2 | 86808 | 4 | 14.126 | 6145.3 |
| 422 | 2025-10-21 05:21:02 | kinetoscope | 1 | 49908 | 2 | 5.186 | 9623.6 |
| 421 | 2025-10-11 06:18:08 | kinetoscope | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 420 | 2025-10-10 01:22:20 | kinetoscope | 1 | 49908 | 2 | 0.733 | 68087.3 |
| 419 | 2025-10-05 12:57:33 | kinetoscope | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 418 | 2025-10-04 09:31:39 | kinetoscope | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 417 | 2025-09-29 08:03:15 | kinetoscope | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 416 | 2025-09-27 02:04:09 | kinetoscope | 2 | 86808 | 4 | 2.360 | 36783.1 |
| 415 | 2025-09-26 11:31:29 | kinetoscope | 1 | 49908 | 2 | 0.750 | 66544.0 |
| 414 | 2025-09-26 11:26:11 | kinetoscope | 2 | 86808 | 4 | 2.030 | 42762.6 |
| 413 | 2025-09-26 10:46:01 | kinetoscope | 1 | 49908 | 2 | 0.763 | 65410.2 |
| 412 | 2025-09-26 09:13:54 | kinetoscope | 2 | 86808 | 4 | 2.076 | 41815.0 |
| 411 | 2025-09-25 21:06:32 | kinetoscope | 3 | 121633 | 9 | 21.843 | 5568.5 |
| 410 | 2025-09-23 16:20:30 | kinetoscope | 2 | 86808 | 4 | 2.016 | 43059.5 |
| 409 | 2025-09-23 14:25:47 | kinetoscope | 4 | 148819 | 26 | 8.750 | 17007.9 |
| 408 | 2025-09-21 16:45:04 | kinetoscope | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 407 | 2025-09-18 18:21:41 | kinetoscope | 2 | 86808 | 4 | 2.403 | 36124.8 |
| 406 | 2025-09-16 20:06:44 | kinetoscope | 2 | 86808 | 4 | 2.546 | 34095.8 |
| 405 | 2025-09-09 06:05:09 | kinetoscope | 1 | 49908 | 2 | 0.810 | 61614.8 |
| 404 | 2025-09-09 01:20:30 | kinetoscope | 1 | 49908 | 2 | 0.766 | 65154.0 |
| 403 | 2025-09-03 13:44:45 | kinetoscope | 1 | 49908 | 2 | 0.750 | 66544.0 |
| 402 | 2025-09-03 04:33:54 | kinetoscope | 1 | 49908 | 2 | 2.156 | 23148.4 |
| 401 | 2025-08-15 18:43:37 | kinetoscope | 5 | 164607 | 86 | 72.366 | 2274.6 |
| 400 | 2025-08-09 17:56:25 | kinetoscope | 5 | 164607 | 86 | 73.550 | 2238.0 |
| 399 | 2025-08-09 01:50:16 | kinetoscope | 1 | 49908 | 2 | 5.393 | 9254.2 |
| 398 | 2025-08-06 07:35:22 | kinetoscope | 4 | 148819 | 26 | 19.816 | 7510.0 |
| 397 | 2025-08-04 14:37:57 | kinetoscope | 1 | 49908 | 2 | 4.346 | 11483.7 |
| 396 | 2025-07-25 15:00:10 | kinetoscope | 1 | 49908 | 2 | 1.736 | 28748.8 |
| 395 | 2025-07-24 08:48:40 | kinetoscope | 1 | 49908 | 2 | 5.203 | 9592.2 |
| 394 | 2025-07-05 11:39:34 | kinetoscope | 1 | 49908 | 2 | 1.940 | 25725.8 |
| 393 | 2025-05-24 18:02:24 | kinetoscope | 4 | 148819 | 26 | 46.100 | 3228.2 |
| 392 | 2025-05-24 15:28:49 | kinetoscope | 2 | 86808 | 4 | 11.596 | 7486.0 |
| 391 | 2025-05-24 05:00:31 | kinetoscope | 3 | 121633 | 9 | 13.033 | 9332.7 |
| 390 | 2025-05-22 07:38:02 | kinetoscope | 1 | 49908 | 2 | 4.123 | 12104.8 |
| 389 | 2025-05-21 05:09:28 | kinetoscope | 1 | 49908 | 2 | 3.906 | 12777.3 |
| 388 | 2025-05-02 16:17:33 | kinetoscope | 1 | 49908 | 2 | 4.060 | 12292.6 |
| 387 | 2025-03-09 05:13:01 | kinetoscope | 1 | 49908 | 2 | 2.593 | 19247.2 |
| 386 | 2025-03-08 13:23:01 | kinetoscope | 1 | 49908 | 2 | 2.126 | 23475.1 |
| 385 | 2025-03-05 15:24:57 | kinetoscope | 1 | 49908 | 2 | 3.573 | 13968.1 |
| 384 | 2025-02-19 14:46:30 | kinetoscope | 2 | 86808 | 4 | 10.720 | 8097.8 |
| 383 | 2025-02-10 20:59:45 | kinetoscope | 4 | 148819 | 26 | 62.033 | 2399.0 |
| 382 | 2025-02-10 20:59:54 | kinetoscope | 3 | 121633 | 9 | 35.253 | 3450.3 |
| 381 | 2025-02-09 16:35:17 | kinetoscope | 3 | 121633 | 9 | 28.000 | 4344.0 |
| 380 | 2025-02-06 16:28:22 | kinetoscope | 3 | 121633 | 9 | 39.503 | 3079.1 |
| 379 | 2025-02-06 16:28:02 | kinetoscope | 4 | 148819 | 26 | 47.516 | 3132.0 |
| 378 | 2025-02-06 16:28:18 | kinetoscope | 2 | 86808 | 4 | 5.936 | 14624.0 |
| 377 | 2025-02-06 16:25:39 | kinetoscope | 1 | 49908 | 2 | 1.313 | 38010.7 |
| 376 | 2025-02-02 16:24:08 | kinetoscope | 4 | 148819 | 26 | 61.493 | 2420.1 |
| 375 | 2025-02-02 16:24:01 | kinetoscope | 3 | 121633 | 9 | 26.720 | 4552.1 |
| 374 | 2025-02-02 16:22:51 | kinetoscope | 2 | 86808 | 4 | 10.546 | 8231.4 |
| 373 | 2025-02-02 05:33:04 | kinetoscope | 4 | 148819 | 26 | 37.690 | 3948.5 |
| 372 | 2025-02-02 05:32:30 | kinetoscope | 4 | 148819 | 26 | 55.393 | 2686.6 |
| 371 | 2025-02-02 05:32:33 | kinetoscope | 3 | 121633 | 9 | 18.500 | 6574.8 |
| 370 | 2025-02-02 05:32:30 | kinetoscope | 2 | 86808 | 4 | 17.623 | 4925.8 |
| 369 | 2025-02-02 05:31:23 | kinetoscope | 1 | 49908 | 2 | 1.233 | 40476.9 |
| 368 | 2025-01-30 13:25:05 | kinetoscope | 1 | 49908 | 2 | 3.376 | 14783.2 |
| 367 | 2025-01-29 01:27:52 | kinetoscope | 1 | 49908 | 2 | 2.436 | 20487.7 |
| 366 | 2025-01-10 00:46:24 | kinetoscope | 4 | 148819 | 26 | 52.846 | 2816.1 |
| 365 | 2024-12-29 23:19:04 | kinetoscope | 4 | 148819 | 26 | 61.423 | 2422.9 |
| 364 | 2024-12-29 23:19:28 | kinetoscope | 3 | 121633 | 9 | 26.126 | 4655.6 |
| 363 | 2024-12-29 23:19:04 | kinetoscope | 4 | 148819 | 26 | 49.193 | 3025.2 |
| 362 | 2024-12-29 23:19:25 | kinetoscope | 2 | 86808 | 4 | 11.483 | 7559.7 |
| 361 | 2024-12-29 23:17:38 | kinetoscope | 1 | 49908 | 2 | 3.800 | 13133.7 |
| 360 | 2024-12-26 11:57:55 | kinetoscope | 3 | 121633 | 9 | 24.453 | 4974.2 |
| 359 | 2024-12-26 11:57:55 | kinetoscope | 2 | 86808 | 4 | 16.533 | 5250.6 |
| 358 | 2024-12-26 11:56:58 | kinetoscope | 1 | 49908 | 2 | 3.860 | 12929.5 |
| 357 | 2024-12-25 23:56:48 | kinetoscope | 4 | 148819 | 26 | 49.003 | 3036.9 |
| 356 | 2024-12-25 23:56:48 | kinetoscope | 4 | 148819 | 26 | 49.203 | 3024.6 |
| 355 | 2024-12-25 23:56:49 | kinetoscope | 3 | 121633 | 9 | 23.890 | 5091.4 |
| 354 | 2024-12-25 23:56:49 | kinetoscope | 2 | 86808 | 4 | 11.720 | 7406.8 |
| 353 | 2024-12-25 07:33:43 | kinetoscope | 4 | 148819 | 26 | 51.783 | 2873.9 |
| 352 | 2024-12-22 13:05:12 | kinetoscope | 4 | 148819 | 26 | 67.160 | 2215.9 |
| 351 | 2024-12-22 10:53:42 | kinetoscope | 4 | 148819 | 26 | 57.253 | 2599.3 |
| 350 | 2024-12-18 08:49:50 | kinetoscope | 1 | 49908 | 2 | 4.063 | 12283.5 |
| 349 | 2024-12-12 14:35:58 | kinetoscope | 1 | 49908 | 2 | 3.596 | 13878.8 |
| 348 | 2024-12-07 20:48:09 | kinetoscope | 4 | 148819 | 26 | 48.643 | 3059.4 |
| 347 | 2024-11-26 05:33:11 | kinetoscope | 2 | 86808 | 4 | 6.953 | 12485.0 |
| 346 | 2024-11-26 05:31:31 | kinetoscope | 1 | 49908 | 2 | 1.906 | 26184.7 |
| 345 | 2024-11-25 03:39:09 | kinetoscope | 2 | 86808 | 4 | 16.686 | 5202.4 |
| 344 | 2024-11-25 03:33:38 | kinetoscope | 3 | 121633 | 9 | 24.206 | 5024.9 |
| 343 | 2024-11-23 23:41:13 | kinetoscope | 4 | 148819 | 26 | 51.350 | 2898.1 |