History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"subgraphs"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 476 | 2026-02-17 02:46:02 | subgraphs | 1 | 81242 | 2 | 1.423 | 57092.1 |
| 475 | 2026-02-15 00:17:42 | subgraphs | 2 | 121436 | 3 | 25.250 | 4809.3 |
| 474 | 2026-02-13 02:06:58 | subgraphs | 1 | 81242 | 2 | 5.940 | 13677.1 |
| 473 | 2026-02-12 10:57:18 | subgraphs | 4 | 165329 | 176 | 40.250 | 4107.6 |
| 472 | 2026-02-10 19:50:10 | subgraphs | 1 | 81242 | 2 | 1.860 | 43678.5 |
| 471 | 2026-02-06 13:10:22 | subgraphs | 4 | 165329 | 176 | 12.673 | 13045.8 |
| 470 | 2026-02-06 02:10:11 | subgraphs | 2 | 121436 | 3 | 5.280 | 22999.2 |
| 469 | 2026-01-31 03:38:00 | subgraphs | 4 | 165329 | 176 | 32.270 | 5123.3 |
| 468 | 2026-01-30 08:36:36 | subgraphs | 4 | 165329 | 176 | 39.593 | 4175.7 |
| 467 | 2026-01-28 11:47:55 | subgraphs | 4 | 165329 | 176 | 25.283 | 6539.1 |
| 466 | 2026-01-27 16:41:48 | subgraphs | 4 | 165329 | 176 | 12.516 | 13209.4 |
| 465 | 2026-01-27 04:35:02 | subgraphs | 4 | 165329 | 176 | 12.983 | 12734.3 |
| 464 | 2026-01-23 10:49:59 | subgraphs | 1 | 81242 | 2 | 1.623 | 50056.7 |
| 463 | 2026-01-23 07:49:22 | subgraphs | 4 | 165329 | 176 | 12.830 | 12886.1 |
| 462 | 2026-01-20 06:51:29 | subgraphs | 4 | 165329 | 176 | 19.593 | 8438.2 |
| 461 | 2026-01-20 06:51:26 | subgraphs | 4 | 165329 | 176 | 20.703 | 7985.8 |
| 460 | 2026-01-19 23:33:38 | subgraphs | 4 | 165329 | 176 | 11.580 | 14277.1 |
| 459 | 2026-01-19 23:25:13 | subgraphs | 4 | 165329 | 176 | 16.750 | 9870.4 |
| 458 | 2026-01-08 19:29:52 | subgraphs | 4 | 165329 | 176 | 45.643 | 3622.2 |
| 457 | 2026-01-08 14:03:38 | subgraphs | 3 | 148641 | 23 | 7.406 | 20070.3 |
| 456 | 2026-01-07 14:44:38 | subgraphs | 1 | 81242 | 2 | 1.313 | 61875.1 |
| 455 | 2026-01-07 04:10:55 | subgraphs | 3 | 148641 | 23 | 8.126 | 18292.0 |
| 454 | 2026-01-05 07:32:46 | subgraphs | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 453 | 2026-01-04 17:20:06 | subgraphs | 1 | 81242 | 2 | 1.530 | 53099.3 |
| 452 | 2026-01-01 06:55:27 | subgraphs | 1 | 81242 | 2 | 3.656 | 22221.6 |
| 451 | 2025-12-31 14:40:33 | subgraphs | 2 | 121436 | 3 | 3.593 | 33797.9 |
| 450 | 2025-12-29 09:51:30 | subgraphs | 1 | 81242 | 2 | 1.330 | 61084.2 |
| 449 | 2025-12-27 22:22:13 | subgraphs | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 448 | 2025-12-14 09:29:05 | subgraphs | 3 | 148641 | 23 | 6.673 | 22275.0 |
| 447 | 2025-12-06 15:15:13 | subgraphs | 1 | 81242 | 2 | 3.016 | 26937.0 |
| 446 | 2025-12-01 08:13:02 | subgraphs | 1 | 81242 | 2 | 2.533 | 32073.4 |
| 445 | 2025-11-30 10:22:22 | subgraphs | 1 | 81242 | 2 | 1.470 | 55266.7 |
| 444 | 2025-11-24 21:29:27 | subgraphs | 4 | 165329 | 176 | 20.173 | 8195.6 |
| 443 | 2025-11-23 23:07:16 | subgraphs | 1 | 81242 | 2 | 1.466 | 55417.5 |
| 442 | 2025-11-23 15:34:24 | subgraphs | 3 | 148641 | 23 | 7.486 | 19855.9 |
| 441 | 2025-11-23 00:44:28 | subgraphs | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 440 | 2025-11-22 10:19:12 | subgraphs | 3 | 148641 | 23 | 7.013 | 21195.1 |
| 439 | 2025-11-18 10:31:36 | subgraphs | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 438 | 2025-11-18 03:39:59 | subgraphs | 4 | 165329 | 176 | 13.156 | 12566.8 |
| 437 | 2025-11-07 12:21:08 | subgraphs | 4 | 165329 | 176 | 11.686 | 14147.6 |
| 436 | 2025-11-07 07:54:31 | subgraphs | 4 | 165329 | 176 | 10.703 | 15447.0 |
| 435 | 2025-11-05 06:50:31 | subgraphs | 3 | 148641 | 23 | 6.203 | 23962.8 |
| 434 | 2025-11-04 14:06:00 | subgraphs | 2 | 121436 | 3 | 3.580 | 33920.7 |
| 433 | 2025-11-04 07:27:19 | subgraphs | 3 | 148641 | 23 | 6.640 | 22385.7 |
| 432 | 2025-11-04 04:02:46 | subgraphs | 2 | 121436 | 3 | 3.466 | 35036.4 |
| 431 | 2025-11-03 23:30:38 | subgraphs | 3 | 148641 | 23 | 6.780 | 21923.5 |
| 430 | 2025-11-01 19:36:16 | subgraphs | 2 | 121436 | 3 | 3.516 | 34538.1 |
| 429 | 2025-11-01 14:36:43 | subgraphs | 1 | 81242 | 2 | 1.266 | 64172.2 |
| 428 | 2025-11-01 00:45:18 | subgraphs | 2 | 121436 | 3 | 3.140 | 38673.9 |
| 427 | 2025-10-31 23:51:33 | subgraphs | 1 | 81242 | 2 | 1.376 | 59042.2 |
| 426 | 2025-10-30 14:01:04 | subgraphs | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 425 | 2025-10-29 15:39:31 | subgraphs | 2 | 121436 | 3 | 5.940 | 20443.8 |
| 424 | 2025-10-28 14:36:59 | subgraphs | 3 | 148641 | 23 | 8.110 | 18328.1 |
| 423 | 2025-10-28 00:42:42 | subgraphs | 1 | 81242 | 2 | 1.466 | 55417.5 |
| 422 | 2025-10-23 14:54:01 | subgraphs | 1 | 81242 | 2 | 4.296 | 18911.1 |
| 421 | 2025-10-23 07:04:52 | subgraphs | 1 | 81242 | 2 | 6.970 | 11656.0 |
| 420 | 2025-10-20 02:05:08 | subgraphs | 1 | 81242 | 2 | 3.626 | 22405.4 |
| 419 | 2025-10-18 20:09:48 | subgraphs | 1 | 81242 | 2 | 1.530 | 53099.3 |
| 418 | 2025-10-18 20:09:27 | subgraphs | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 417 | 2025-10-14 19:03:34 | subgraphs | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 416 | 2025-09-30 11:15:40 | subgraphs | 2 | 121436 | 3 | 3.623 | 33518.1 |
| 415 | 2025-09-30 05:21:04 | subgraphs | 1 | 81242 | 2 | 1.423 | 57092.1 |
| 414 | 2025-09-28 04:05:38 | subgraphs | 1 | 81242 | 2 | 1.860 | 43678.5 |
| 413 | 2025-09-28 01:09:33 | subgraphs | 1 | 81242 | 2 | 1.606 | 50586.6 |
| 412 | 2025-09-27 13:50:45 | subgraphs | 4 | 165329 | 176 | 13.173 | 12550.6 |
| 411 | 2025-09-26 10:06:44 | subgraphs | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 410 | 2025-09-17 06:06:09 | subgraphs | 4 | 165329 | 176 | 11.186 | 14780.0 |
| 409 | 2025-09-11 15:49:08 | subgraphs | 4 | 165329 | 176 | 10.890 | 15181.7 |
| 408 | 2025-09-09 08:42:50 | subgraphs | 3 | 148641 | 23 | 9.110 | 16316.2 |
| 407 | 2025-09-08 22:08:39 | subgraphs | 1 | 81242 | 2 | 3.033 | 26786.0 |
| 406 | 2025-09-07 05:31:20 | subgraphs | 4 | 165329 | 176 | 10.436 | 15842.2 |
| 405 | 2025-09-03 18:30:54 | subgraphs | 2 | 121436 | 3 | 3.360 | 36141.7 |
| 404 | 2025-09-03 02:36:21 | subgraphs | 1 | 81242 | 2 | 1.530 | 53099.3 |
| 403 | 2025-08-30 21:23:49 | subgraphs | 4 | 165329 | 176 | 11.330 | 14592.1 |
| 402 | 2025-08-30 06:06:01 | subgraphs | 4 | 165329 | 176 | 10.516 | 15721.7 |
| 401 | 2025-08-30 05:23:52 | subgraphs | 2 | 121436 | 3 | 3.486 | 34835.3 |
| 400 | 2025-08-30 03:20:33 | subgraphs | 4 | 165329 | 176 | 11.750 | 14070.6 |
| 399 | 2025-08-30 01:18:05 | subgraphs | 2 | 121436 | 3 | 3.733 | 32530.4 |
| 398 | 2025-08-28 23:13:54 | subgraphs | 4 | 165329 | 176 | 10.890 | 15181.7 |
| 397 | 2025-08-28 22:30:09 | subgraphs | 2 | 121436 | 3 | 3.360 | 36141.7 |
| 396 | 2025-08-28 19:43:50 | subgraphs | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 395 | 2025-08-28 17:43:18 | subgraphs | 3 | 148641 | 23 | 8.360 | 17780.0 |
| 394 | 2025-08-28 16:53:00 | subgraphs | 4 | 165329 | 176 | 15.766 | 10486.4 |
| 393 | 2025-08-28 16:52:22 | subgraphs | 3 | 148641 | 23 | 7.780 | 19105.5 |
| 392 | 2025-08-28 16:51:25 | subgraphs | 2 | 121436 | 3 | 6.126 | 19823.0 |
| 391 | 2025-08-28 14:20:02 | subgraphs | 3 | 148641 | 23 | 6.986 | 21277.0 |
| 390 | 2025-08-28 04:01:39 | subgraphs | 1 | 81242 | 2 | 1.326 | 61268.5 |
| 389 | 2025-08-28 01:03:34 | subgraphs | 1 | 81242 | 2 | 1.986 | 40907.4 |
| 388 | 2025-08-27 02:48:36 | subgraphs | 1 | 81242 | 2 | 1.436 | 56575.2 |
| 387 | 2025-08-26 05:37:43 | subgraphs | 3 | 148641 | 23 | 54.706 | 2717.1 |
| 386 | 2025-08-21 23:57:37 | subgraphs | 3 | 148641 | 23 | 6.750 | 22020.9 |
| 385 | 2025-07-24 10:57:28 | subgraphs | 1 | 81242 | 2 | 6.750 | 12035.9 |
| 384 | 2025-07-19 11:25:29 | subgraphs | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 383 | 2025-07-16 04:21:24 | subgraphs | 1 | 81242 | 2 | 1.873 | 43375.3 |
| 382 | 2025-07-14 11:29:27 | subgraphs | 1 | 81242 | 2 | 3.406 | 23852.6 |
| 381 | 2025-07-10 16:31:19 | subgraphs | 2 | 121436 | 3 | 11.000 | 11039.6 |
| 380 | 2025-07-10 01:16:03 | subgraphs | 1 | 81242 | 2 | 5.143 | 15796.6 |
| 379 | 2025-07-05 02:45:45 | subgraphs | 2 | 121436 | 3 | 12.500 | 9714.9 |
| 378 | 2025-06-20 08:24:32 | subgraphs | 1 | 81242 | 2 | 9.920 | 8189.7 |
| 377 | 2025-06-20 05:14:07 | subgraphs | 1 | 81242 | 2 | 6.453 | 12589.8 |