History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"marplot"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 475 | 2025-11-05 08:47:55 | marplot | 4 | 151207 | 1176 | 12.063 | 12534.8 |
| 474 | 2025-11-04 05:24:53 | marplot | 4 | 151207 | 1176 | 14.346 | 10540.0 |
| 473 | 2025-11-02 23:55:14 | marplot | 4 | 151207 | 1176 | 12.233 | 12360.6 |
| 472 | 2025-11-02 04:24:23 | marplot | 4 | 151207 | 1176 | 18.783 | 8050.2 |
| 471 | 2025-11-01 22:39:37 | marplot | 4 | 151207 | 1176 | 10.516 | 14378.8 |
| 470 | 2025-10-31 19:43:27 | marplot | 4 | 151207 | 1176 | 11.610 | 13023.9 |
| 469 | 2025-10-30 04:32:23 | marplot | 4 | 151207 | 1176 | 12.766 | 11844.5 |
| 468 | 2025-10-27 20:32:28 | marplot | 4 | 151207 | 1176 | 12.516 | 12081.1 |
| 467 | 2025-10-25 17:35:12 | marplot | 4 | 151207 | 1176 | 11.486 | 13164.5 |
| 466 | 2025-10-23 19:07:04 | marplot | 4 | 151207 | 1176 | 50.753 | 2979.3 |
| 465 | 2025-10-21 23:48:38 | marplot | 4 | 151207 | 1176 | 59.546 | 2539.3 |
| 464 | 2025-10-20 07:12:48 | marplot | 4 | 151207 | 1176 | 39.596 | 3818.7 |
| 463 | 2025-10-20 04:11:37 | marplot | 1 | 69583 | 2 | 1.233 | 56433.9 |
| 462 | 2025-10-19 12:22:15 | marplot | 4 | 151207 | 1176 | 63.940 | 2364.8 |
| 461 | 2025-10-19 12:22:25 | marplot | 4 | 151207 | 1176 | 52.580 | 2875.8 |
| 460 | 2025-10-18 22:15:15 | marplot | 4 | 151207 | 1176 | 10.170 | 14867.9 |
| 459 | 2025-10-18 14:46:44 | marplot | 1 | 69583 | 2 | 1.203 | 57841.2 |
| 458 | 2025-10-18 07:18:21 | marplot | 1 | 69583 | 2 | 1.920 | 36241.1 |
| 457 | 2025-10-17 07:59:17 | marplot | 4 | 151207 | 1176 | 11.686 | 12939.2 |
| 456 | 2025-10-16 14:01:20 | marplot | 4 | 151207 | 1176 | 17.220 | 8780.9 |
| 455 | 2025-10-14 21:51:03 | marplot | 4 | 151207 | 1176 | 12.516 | 12081.1 |
| 454 | 2025-10-13 05:43:48 | marplot | 4 | 151207 | 1176 | 10.220 | 14795.2 |
| 453 | 2025-10-12 03:36:50 | marplot | 4 | 151207 | 1176 | 10.953 | 13805.1 |
| 452 | 2025-10-09 10:40:15 | marplot | 4 | 151207 | 1176 | 18.986 | 7964.1 |
| 451 | 2025-10-04 20:53:53 | marplot | 4 | 151207 | 1176 | 10.983 | 13767.4 |
| 450 | 2025-10-03 16:13:11 | marplot | 4 | 151207 | 1176 | 11.736 | 12884.0 |
| 449 | 2025-09-26 16:26:46 | marplot | 4 | 151207 | 1176 | 11.766 | 12851.2 |
| 448 | 2025-09-20 02:16:29 | marplot | 4 | 151207 | 1176 | 10.750 | 14065.8 |
| 447 | 2025-09-18 20:07:09 | marplot | 1 | 69583 | 2 | 1.283 | 54234.6 |
| 446 | 2025-09-16 01:17:55 | marplot | 4 | 151207 | 1176 | 10.016 | 15096.5 |
| 445 | 2025-09-11 17:32:26 | marplot | 4 | 151207 | 1176 | 11.453 | 13202.4 |
| 444 | 2025-09-08 20:26:31 | marplot | 4 | 151207 | 1176 | 18.343 | 8243.3 |
| 443 | 2025-09-06 18:07:27 | marplot | 3 | 134027 | 93 | 6.016 | 22278.4 |
| 442 | 2025-09-04 12:50:39 | marplot | 4 | 151207 | 1176 | 11.810 | 12803.3 |
| 441 | 2025-09-04 12:45:40 | marplot | 3 | 134027 | 93 | 6.563 | 20421.6 |
| 440 | 2025-09-04 12:41:38 | marplot | 2 | 107671 | 8 | 3.173 | 33933.5 |
| 439 | 2025-09-04 06:00:40 | marplot | 3 | 134027 | 93 | 6.716 | 19956.4 |
| 438 | 2025-09-02 10:36:47 | marplot | 4 | 151207 | 1176 | 13.533 | 11173.2 |
| 437 | 2025-09-02 10:32:51 | marplot | 4 | 151207 | 1176 | 19.670 | 7687.2 |
| 436 | 2025-09-01 08:02:45 | marplot | 4 | 151207 | 1176 | 11.110 | 13610.0 |
| 435 | 2025-09-01 07:04:02 | marplot | 1 | 69583 | 2 | 1.140 | 61037.7 |
| 434 | 2025-08-31 15:25:57 | marplot | 4 | 151207 | 1176 | 10.140 | 14911.9 |
| 433 | 2025-08-31 13:17:56 | marplot | 4 | 151207 | 1176 | 12.330 | 12263.3 |
| 432 | 2025-08-29 12:46:59 | marplot | 4 | 151207 | 1176 | 11.686 | 12939.2 |
| 431 | 2025-08-28 01:01:16 | marplot | 4 | 151207 | 1176 | 11.893 | 12713.9 |
| 430 | 2025-08-27 17:05:13 | marplot | 1 | 69583 | 2 | 1.250 | 55666.4 |
| 429 | 2025-08-27 09:09:19 | marplot | 4 | 151207 | 1176 | 11.500 | 13148.4 |
| 428 | 2025-08-27 01:33:17 | marplot | 4 | 151207 | 1176 | 13.156 | 11493.4 |
| 427 | 2025-08-26 17:01:31 | marplot | 1 | 69583 | 2 | 2.360 | 29484.3 |
| 426 | 2025-08-26 01:46:48 | marplot | 4 | 151207 | 1176 | 15.796 | 9572.5 |
| 425 | 2025-08-25 13:10:27 | marplot | 1 | 69583 | 2 | 8.093 | 8597.9 |
| 424 | 2025-08-25 13:00:15 | marplot | 4 | 151207 | 1176 | 60.580 | 2496.0 |
| 423 | 2025-08-25 02:31:46 | marplot | 4 | 151207 | 1176 | 27.080 | 5583.7 |
| 422 | 2025-08-22 21:45:01 | marplot | 1 | 69583 | 2 | 3.000 | 23194.3 |
| 421 | 2025-08-09 02:55:41 | marplot | 1 | 69583 | 2 | 5.826 | 11943.5 |
| 420 | 2025-08-07 23:33:57 | marplot | 4 | 151207 | 1176 | 11.940 | 12663.9 |
| 419 | 2025-08-06 06:02:30 | marplot | 4 | 151207 | 1176 | 25.643 | 5896.6 |
| 418 | 2025-08-05 09:41:37 | marplot | 4 | 151207 | 1176 | 29.110 | 5194.3 |
| 417 | 2025-08-04 09:26:26 | marplot | 4 | 151207 | 1176 | 11.893 | 12713.9 |
| 416 | 2025-08-04 07:07:26 | marplot | 1 | 69583 | 2 | 5.720 | 12164.9 |
| 415 | 2025-08-02 18:16:34 | marplot | 4 | 151207 | 1176 | 58.703 | 2575.8 |
| 414 | 2025-07-31 16:08:55 | marplot | 4 | 151207 | 1176 | 21.830 | 6926.6 |
| 413 | 2025-07-29 22:08:22 | marplot | 4 | 151207 | 1176 | 49.290 | 3067.7 |
| 412 | 2025-07-26 16:40:07 | marplot | 1 | 69583 | 2 | 2.880 | 24160.8 |
| 411 | 2025-07-24 03:39:54 | marplot | 1 | 69583 | 2 | 4.250 | 16372.5 |
| 410 | 2025-07-23 01:43:13 | marplot | 4 | 151207 | 1176 | 62.816 | 2407.1 |
| 409 | 2025-07-22 03:20:08 | marplot | 4 | 151207 | 1176 | 11.580 | 13057.6 |
| 408 | 2025-07-19 10:00:04 | marplot | 4 | 151207 | 1176 | 11.720 | 12901.6 |
| 407 | 2025-07-19 05:15:52 | marplot | 1 | 69583 | 2 | 2.013 | 34566.8 |
| 406 | 2025-07-13 09:31:07 | marplot | 1 | 69583 | 2 | 1.610 | 43219.3 |
| 405 | 2025-07-12 18:55:19 | marplot | 1 | 69583 | 2 | 1.266 | 54962.9 |
| 404 | 2025-07-10 11:25:16 | marplot | 4 | 151207 | 1176 | 40.983 | 3689.5 |
| 403 | 2025-07-09 11:53:38 | marplot | 4 | 151207 | 1176 | 11.906 | 12700.1 |
| 402 | 2025-07-09 04:24:06 | marplot | 1 | 69583 | 2 | 1.203 | 57841.2 |
| 401 | 2025-07-07 02:48:26 | marplot | 1 | 69583 | 2 | 6.733 | 10334.6 |
| 400 | 2025-06-20 17:32:13 | marplot | 1 | 69583 | 2 | 4.733 | 14701.7 |
| 399 | 2025-06-16 01:19:03 | marplot | 1 | 69583 | 2 | 8.936 | 7786.8 |
| 398 | 2025-06-15 08:59:44 | marplot | 1 | 69583 | 2 | 1.126 | 61796.6 |
| 397 | 2025-06-02 02:27:03 | marplot | 1 | 69583 | 2 | 5.986 | 11624.3 |
| 396 | 2025-05-30 16:04:22 | marplot | 3 | 134027 | 93 | 28.720 | 4666.7 |
| 395 | 2025-05-28 01:05:23 | marplot | 1 | 69583 | 2 | 1.263 | 55093.4 |
| 394 | 2025-05-27 16:40:13 | marplot | 4 | 151207 | 1176 | 11.690 | 12934.7 |
| 393 | 2025-05-20 13:35:33 | marplot | 1 | 69583 | 2 | 3.013 | 23094.3 |
| 392 | 2025-05-19 14:26:19 | marplot | 1 | 69583 | 2 | 1.283 | 54234.6 |
| 391 | 2025-05-17 16:41:48 | marplot | 1 | 69583 | 2 | 1.203 | 57841.2 |
| 390 | 2025-05-13 09:58:10 | marplot | 3 | 134027 | 93 | 23.376 | 5733.5 |
| 389 | 2025-05-11 15:33:36 | marplot | 3 | 134027 | 93 | 25.563 | 5243.0 |
| 388 | 2025-05-11 12:09:32 | marplot | 4 | 151207 | 1176 | 65.993 | 2291.3 |
| 387 | 2025-05-10 22:40:20 | marplot | 4 | 151207 | 1176 | 56.800 | 2662.1 |
| 386 | 2025-05-10 13:15:12 | marplot | 4 | 151207 | 1176 | 44.016 | 3435.3 |
| 385 | 2025-05-09 16:01:47 | marplot | 3 | 134027 | 93 | 9.533 | 14059.3 |
| 384 | 2025-05-09 14:21:17 | marplot | 3 | 134027 | 93 | 36.080 | 3714.7 |
| 383 | 2025-05-09 08:15:53 | marplot | 4 | 151207 | 1176 | 24.563 | 6155.9 |
| 382 | 2025-05-09 02:51:04 | marplot | 4 | 151207 | 1176 | 50.470 | 2996.0 |
| 381 | 2025-05-07 10:53:19 | marplot | 4 | 151207 | 1176 | 13.576 | 11137.8 |
| 380 | 2025-05-06 20:42:16 | marplot | 3 | 134027 | 93 | 7.423 | 18055.6 |
| 379 | 2025-05-04 15:40:57 | marplot | 1 | 69583 | 2 | 6.200 | 11223.1 |
| 378 | 2025-05-02 08:48:47 | marplot | 1 | 69583 | 2 | 3.190 | 21812.9 |
| 377 | 2025-04-22 21:26:34 | marplot | 1 | 69583 | 2 | 6.546 | 10629.9 |
| 376 | 2025-04-20 12:11:36 | marplot | 1 | 69583 | 2 | 5.953 | 11688.7 |