History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"unscalable"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 503 | 2025-11-01 06:06:20 | unscalable | 4 | 161450 | 201 | 10.643 | 15169.6 |
| 502 | 2025-11-01 00:34:18 | unscalable | 1 | 67641 | 2 | 1.030 | 65670.9 |
| 501 | 2025-10-30 01:51:19 | unscalable | 3 | 140603 | 43 | 6.610 | 21271.3 |
| 500 | 2025-10-29 09:14:57 | unscalable | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 499 | 2025-10-27 09:32:56 | unscalable | 4 | 161450 | 201 | 11.860 | 13613.0 |
| 498 | 2025-10-27 06:56:30 | unscalable | 4 | 161450 | 201 | 11.906 | 13560.4 |
| 497 | 2025-10-26 08:44:01 | unscalable | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 496 | 2025-10-25 05:10:23 | unscalable | 4 | 161450 | 201 | 10.733 | 15042.4 |
| 495 | 2025-10-21 01:30:34 | unscalable | 1 | 67641 | 2 | 8.783 | 7701.4 |
| 494 | 2025-10-19 16:45:11 | unscalable | 4 | 161450 | 201 | 41.626 | 3878.6 |
| 493 | 2025-10-18 05:02:38 | unscalable | 4 | 161450 | 201 | 10.750 | 15018.6 |
| 492 | 2025-10-13 22:44:33 | unscalable | 2 | 108824 | 10 | 2.673 | 40712.3 |
| 491 | 2025-10-13 17:31:44 | unscalable | 1 | 67641 | 2 | 1.280 | 52844.5 |
| 490 | 2025-10-13 00:05:20 | unscalable | 2 | 108824 | 10 | 3.030 | 35915.5 |
| 489 | 2025-10-11 16:33:59 | unscalable | 3 | 140603 | 43 | 5.970 | 23551.6 |
| 488 | 2025-10-11 04:30:30 | unscalable | 3 | 140603 | 43 | 6.580 | 21368.2 |
| 487 | 2025-10-08 11:29:40 | unscalable | 2 | 108824 | 10 | 2.626 | 41441.0 |
| 486 | 2025-10-08 06:25:27 | unscalable | 2 | 108824 | 10 | 2.906 | 37448.0 |
| 485 | 2025-10-07 14:26:24 | unscalable | 2 | 108824 | 10 | 2.860 | 38050.3 |
| 484 | 2025-10-03 21:37:47 | unscalable | 4 | 161450 | 201 | 11.813 | 13667.1 |
| 483 | 2025-10-03 05:01:42 | unscalable | 4 | 161450 | 201 | 10.016 | 16119.2 |
| 482 | 2025-10-02 18:31:50 | unscalable | 4 | 161450 | 201 | 11.830 | 13647.5 |
| 481 | 2025-10-02 04:59:28 | unscalable | 1 | 67641 | 2 | 1.016 | 66575.8 |
| 480 | 2025-09-27 08:40:51 | unscalable | 4 | 161450 | 201 | 12.190 | 13244.5 |
| 479 | 2025-09-27 06:10:02 | unscalable | 4 | 161450 | 201 | 10.203 | 15823.8 |
| 478 | 2025-09-24 15:36:53 | unscalable | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 477 | 2025-09-22 00:37:28 | unscalable | 4 | 161450 | 201 | 10.156 | 15897.0 |
| 476 | 2025-09-21 00:38:37 | unscalable | 3 | 140603 | 43 | 6.186 | 22729.2 |
| 475 | 2025-09-19 15:02:25 | unscalable | 4 | 161450 | 201 | 11.000 | 14677.3 |
| 474 | 2025-09-16 20:44:31 | unscalable | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 473 | 2025-09-11 04:15:53 | unscalable | 4 | 161450 | 201 | 11.156 | 14472.0 |
| 472 | 2025-09-09 22:27:37 | unscalable | 1 | 67641 | 2 | 1.080 | 62630.6 |
| 471 | 2025-09-09 06:47:17 | unscalable | 1 | 67641 | 2 | 1.893 | 35732.2 |
| 470 | 2025-09-07 05:21:16 | unscalable | 1 | 67641 | 2 | 1.000 | 67641.0 |
| 469 | 2025-09-06 18:55:45 | unscalable | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 468 | 2025-09-06 09:28:52 | unscalable | 2 | 108824 | 10 | 2.623 | 41488.4 |
| 467 | 2025-09-05 16:58:59 | unscalable | 4 | 161450 | 201 | 12.220 | 13211.9 |
| 466 | 2025-09-02 18:46:27 | unscalable | 3 | 140603 | 43 | 5.563 | 25274.7 |
| 465 | 2025-09-02 15:36:45 | unscalable | 4 | 161450 | 201 | 11.390 | 14174.7 |
| 464 | 2025-09-01 06:49:15 | unscalable | 2 | 108824 | 10 | 3.610 | 30145.2 |
| 463 | 2025-08-30 08:14:46 | unscalable | 4 | 161450 | 201 | 10.093 | 15996.2 |
| 462 | 2025-08-29 15:17:12 | unscalable | 1 | 67641 | 2 | 1.033 | 65480.2 |
| 461 | 2025-08-28 21:39:49 | unscalable | 3 | 140603 | 43 | 6.533 | 21522.0 |
| 460 | 2025-08-26 20:07:59 | unscalable | 3 | 140603 | 43 | 6.016 | 23371.5 |
| 459 | 2025-08-25 05:52:48 | unscalable | 3 | 140603 | 43 | 32.970 | 4264.6 |
| 458 | 2025-08-24 04:37:19 | unscalable | 3 | 140603 | 43 | 9.983 | 14084.2 |
| 457 | 2025-08-23 09:46:21 | unscalable | 1 | 67641 | 2 | 2.860 | 23650.7 |
| 456 | 2025-08-23 04:52:26 | unscalable | 1 | 67641 | 2 | 2.580 | 26217.4 |
| 455 | 2025-08-22 09:19:33 | unscalable | 3 | 140603 | 43 | 13.063 | 10763.5 |
| 454 | 2025-08-22 00:54:07 | unscalable | 3 | 140603 | 43 | 31.783 | 4423.8 |
| 453 | 2025-08-19 22:49:35 | unscalable | 1 | 67641 | 2 | 1.110 | 60937.8 |
| 452 | 2025-08-19 08:37:17 | unscalable | 3 | 140603 | 43 | 29.580 | 4753.3 |
| 451 | 2025-08-16 08:15:26 | unscalable | 4 | 161450 | 201 | 11.470 | 14075.9 |
| 450 | 2025-08-14 04:21:24 | unscalable | 1 | 67641 | 2 | 1.216 | 55625.8 |
| 449 | 2025-08-12 19:23:47 | unscalable | 2 | 108824 | 10 | 11.876 | 9163.4 |
| 448 | 2025-08-12 15:55:15 | unscalable | 1 | 67641 | 2 | 2.530 | 26735.6 |
| 447 | 2025-08-12 06:12:22 | unscalable | 4 | 161450 | 201 | 26.173 | 6168.6 |
| 446 | 2025-08-11 23:16:33 | unscalable | 3 | 140603 | 43 | 27.330 | 5144.6 |
| 445 | 2025-08-11 05:45:48 | unscalable | 2 | 108824 | 10 | 14.343 | 7587.3 |
| 444 | 2025-08-11 04:31:33 | unscalable | 1 | 67641 | 2 | 2.640 | 25621.6 |
| 443 | 2025-08-10 21:12:28 | unscalable | 3 | 140603 | 43 | 17.046 | 8248.4 |
| 442 | 2025-08-09 20:13:33 | unscalable | 1 | 67641 | 2 | 3.826 | 17679.3 |
| 441 | 2025-08-09 18:27:54 | unscalable | 1 | 67641 | 2 | 2.486 | 27208.8 |
| 440 | 2025-08-04 11:41:12 | unscalable | 4 | 161450 | 201 | 52.270 | 3088.8 |
| 439 | 2025-08-04 03:25:15 | unscalable | 1 | 67641 | 2 | 5.360 | 12619.6 |
| 438 | 2025-07-29 16:06:59 | unscalable | 2 | 108824 | 10 | 22.393 | 4859.7 |
| 437 | 2025-07-29 01:27:25 | unscalable | 4 | 161450 | 201 | 45.500 | 3548.4 |
| 436 | 2025-07-28 19:02:26 | unscalable | 2 | 108824 | 10 | 7.220 | 15072.6 |
| 435 | 2025-07-28 11:21:04 | unscalable | 4 | 161450 | 201 | 68.390 | 2360.7 |
| 434 | 2025-07-26 14:02:49 | unscalable | 2 | 108824 | 10 | 5.576 | 19516.5 |
| 433 | 2025-07-25 18:56:30 | unscalable | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 432 | 2025-07-22 22:34:08 | unscalable | 4 | 161450 | 201 | 41.893 | 3853.9 |
| 431 | 2025-07-22 22:34:19 | unscalable | 2 | 108824 | 10 | 15.753 | 6908.1 |
| 430 | 2025-07-22 15:34:14 | unscalable | 2 | 108824 | 10 | 12.096 | 8996.7 |
| 429 | 2025-07-22 15:20:43 | unscalable | 1 | 67641 | 2 | 4.796 | 14103.6 |
| 428 | 2025-07-18 01:25:48 | unscalable | 3 | 140603 | 43 | 18.016 | 7804.3 |
| 427 | 2025-07-17 12:58:32 | unscalable | 4 | 161450 | 201 | 51.223 | 3151.9 |
| 426 | 2025-07-16 05:24:27 | unscalable | 4 | 161450 | 201 | 32.690 | 4938.8 |
| 425 | 2025-07-15 10:59:08 | unscalable | 3 | 140603 | 43 | 27.770 | 5063.1 |
| 424 | 2025-07-15 05:04:54 | unscalable | 3 | 140603 | 43 | 29.473 | 4770.6 |
| 423 | 2025-07-13 12:16:55 | unscalable | 4 | 161450 | 201 | 11.296 | 14292.7 |
| 422 | 2025-07-10 12:05:26 | unscalable | 2 | 108824 | 10 | 14.393 | 7560.9 |
| 421 | 2025-07-10 08:28:32 | unscalable | 1 | 67641 | 2 | 4.843 | 13966.8 |
| 420 | 2025-07-08 22:18:52 | unscalable | 3 | 140603 | 43 | 6.673 | 21070.4 |
| 419 | 2025-07-08 17:35:32 | unscalable | 4 | 161450 | 201 | 18.470 | 8741.2 |
| 418 | 2025-07-08 02:36:54 | unscalable | 3 | 140603 | 43 | 20.143 | 6980.2 |
| 417 | 2025-07-04 20:46:11 | unscalable | 3 | 140603 | 43 | 30.846 | 4558.2 |
| 416 | 2025-07-04 04:36:38 | unscalable | 2 | 108824 | 10 | 10.953 | 9935.5 |
| 415 | 2025-07-03 17:03:49 | unscalable | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 414 | 2025-06-26 18:27:47 | unscalable | 2 | 108824 | 10 | 15.330 | 7098.8 |
| 413 | 2025-06-26 17:39:29 | unscalable | 4 | 161450 | 201 | 56.766 | 2844.1 |
| 412 | 2025-06-24 11:06:46 | unscalable | 1 | 67641 | 2 | 6.093 | 11101.4 |
| 411 | 2025-06-23 19:18:10 | unscalable | 1 | 67641 | 2 | 1.283 | 52721.0 |
| 410 | 2025-06-21 09:05:52 | unscalable | 4 | 161450 | 201 | 63.236 | 2553.1 |
| 409 | 2025-06-20 19:07:27 | unscalable | 2 | 108824 | 10 | 19.970 | 5449.4 |
| 408 | 2025-06-19 23:39:12 | unscalable | 1 | 67641 | 2 | 4.406 | 15352.0 |
| 407 | 2025-06-17 12:07:05 | unscalable | 4 | 161450 | 201 | 11.923 | 13541.1 |
| 406 | 2025-06-14 21:07:48 | unscalable | 1 | 67641 | 2 | 7.796 | 8676.4 |
| 405 | 2025-06-14 03:25:38 | unscalable | 2 | 108824 | 10 | 22.750 | 4783.5 |
| 404 | 2025-06-11 11:43:14 | unscalable | 4 | 161450 | 201 | 52.410 | 3080.5 |