History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"nimbleness"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 514 | 2026-01-08 01:02:12 | nimbleness | 4 | 161450 | 189 | 11.923 | 13541.1 |
| 513 | 2026-01-05 08:32:06 | nimbleness | 1 | 67641 | 1 | 3.970 | 17038.0 |
| 512 | 2025-12-31 17:42:07 | nimbleness | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 511 | 2025-12-28 23:04:36 | nimbleness | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 510 | 2025-12-24 00:57:57 | nimbleness | 1 | 67641 | 1 | 1.046 | 64666.3 |
| 509 | 2025-12-23 02:03:02 | nimbleness | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 508 | 2025-12-14 12:24:21 | nimbleness | 4 | 161450 | 189 | 54.036 | 2987.8 |
| 507 | 2025-12-09 21:26:03 | nimbleness | 1 | 67641 | 1 | 1.013 | 66773.0 |
| 506 | 2025-11-22 09:09:53 | nimbleness | 4 | 161450 | 189 | 10.483 | 15401.1 |
| 505 | 2025-11-18 17:37:47 | nimbleness | 4 | 161450 | 189 | 11.673 | 13831.1 |
| 504 | 2025-11-17 05:09:03 | nimbleness | 3 | 140603 | 34 | 10.500 | 13390.8 |
| 503 | 2025-11-16 11:37:12 | nimbleness | 2 | 108824 | 6 | 8.593 | 12664.3 |
| 502 | 2025-11-16 09:32:18 | nimbleness | 4 | 161450 | 189 | 10.266 | 15726.7 |
| 501 | 2025-11-14 23:30:20 | nimbleness | 4 | 161450 | 189 | 11.406 | 14154.8 |
| 500 | 2025-11-14 23:29:57 | nimbleness | 4 | 161450 | 189 | 10.890 | 14825.5 |
| 499 | 2025-11-12 17:13:32 | nimbleness | 4 | 161450 | 189 | 11.123 | 14515.0 |
| 498 | 2025-11-02 07:01:14 | nimbleness | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 497 | 2025-10-29 01:49:49 | nimbleness | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 496 | 2025-10-16 20:23:08 | nimbleness | 1 | 67641 | 1 | 1.936 | 34938.5 |
| 495 | 2025-10-13 01:28:30 | nimbleness | 2 | 108824 | 6 | 2.610 | 41695.0 |
| 494 | 2025-09-23 23:07:27 | nimbleness | 2 | 108824 | 6 | 2.653 | 41019.2 |
| 493 | 2025-09-20 05:56:45 | nimbleness | 2 | 108824 | 6 | 2.826 | 38508.1 |
| 492 | 2025-09-16 10:59:21 | nimbleness | 4 | 161450 | 189 | 10.016 | 16119.2 |
| 491 | 2025-08-27 16:07:25 | nimbleness | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 490 | 2025-08-19 04:07:59 | nimbleness | 1 | 67641 | 1 | 2.373 | 28504.4 |
| 489 | 2025-08-17 06:42:59 | nimbleness | 1 | 67641 | 1 | 2.016 | 33552.1 |
| 488 | 2025-08-16 22:29:06 | nimbleness | 3 | 140603 | 34 | 15.610 | 9007.2 |
| 487 | 2025-08-15 01:13:29 | nimbleness | 2 | 108824 | 6 | 6.956 | 15644.6 |
| 486 | 2025-08-14 14:28:55 | nimbleness | 3 | 140603 | 34 | 9.423 | 14921.3 |
| 485 | 2025-08-14 02:44:14 | nimbleness | 3 | 140603 | 34 | 30.096 | 4671.8 |
| 484 | 2025-08-14 02:44:12 | nimbleness | 3 | 140603 | 34 | 15.266 | 9210.2 |
| 483 | 2025-08-11 21:04:32 | nimbleness | 1 | 67641 | 1 | 2.780 | 24331.3 |
| 482 | 2025-08-11 08:30:02 | nimbleness | 2 | 108824 | 6 | 14.406 | 7554.1 |
| 481 | 2025-08-11 02:50:43 | nimbleness | 3 | 140603 | 34 | 31.660 | 4441.0 |
| 480 | 2025-08-08 22:40:02 | nimbleness | 4 | 161450 | 189 | 49.676 | 3250.1 |
| 479 | 2025-08-07 19:19:58 | nimbleness | 4 | 161450 | 189 | 28.080 | 5749.6 |
| 478 | 2025-08-04 06:05:56 | nimbleness | 1 | 67641 | 1 | 2.423 | 27916.2 |
| 477 | 2025-08-02 01:34:09 | nimbleness | 1 | 67641 | 1 | 2.186 | 30942.8 |
| 476 | 2025-08-02 01:34:01 | nimbleness | 1 | 67641 | 1 | 2.936 | 23038.5 |
| 475 | 2025-08-01 07:34:56 | nimbleness | 2 | 108824 | 6 | 7.640 | 14244.0 |
| 474 | 2025-07-28 01:39:07 | nimbleness | 1 | 67641 | 1 | 2.860 | 23650.7 |
| 473 | 2025-07-17 08:39:41 | nimbleness | 1 | 67641 | 1 | 2.653 | 25496.0 |
| 472 | 2025-07-16 02:16:41 | nimbleness | 4 | 161450 | 189 | 19.986 | 8078.2 |
| 471 | 2025-07-13 05:32:53 | nimbleness | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 470 | 2025-07-10 14:44:41 | nimbleness | 3 | 140603 | 34 | 26.876 | 5231.5 |
| 469 | 2025-07-05 08:36:49 | nimbleness | 3 | 140603 | 34 | 16.906 | 8316.8 |
| 468 | 2025-07-02 06:24:23 | nimbleness | 3 | 140603 | 34 | 35.080 | 4008.1 |
| 467 | 2025-07-02 06:09:48 | nimbleness | 1 | 67641 | 1 | 5.330 | 12690.6 |
| 466 | 2025-07-01 02:15:58 | nimbleness | 1 | 67641 | 1 | 1.143 | 59178.5 |
| 465 | 2025-06-29 04:15:55 | nimbleness | 4 | 161450 | 189 | 9.296 | 17367.7 |
| 464 | 2025-06-24 11:20:25 | nimbleness | 1 | 67641 | 1 | 3.063 | 22083.3 |
| 463 | 2025-06-19 21:47:51 | nimbleness | 4 | 161450 | 189 | 38.593 | 4183.4 |
| 462 | 2025-06-18 05:45:12 | nimbleness | 3 | 140603 | 34 | 16.640 | 8449.7 |
| 461 | 2025-06-16 15:25:06 | nimbleness | 1 | 67641 | 1 | 7.030 | 9621.8 |
| 460 | 2025-06-16 07:08:54 | nimbleness | 1 | 67641 | 1 | 8.173 | 8276.2 |
| 459 | 2025-06-15 00:03:11 | nimbleness | 4 | 161450 | 189 | 16.626 | 9710.7 |
| 458 | 2025-06-13 10:41:47 | nimbleness | 4 | 161450 | 189 | 45.170 | 3574.3 |
| 457 | 2025-06-13 10:22:32 | nimbleness | 4 | 161450 | 189 | 37.313 | 4326.9 |
| 456 | 2025-06-13 03:40:11 | nimbleness | 3 | 140603 | 34 | 8.873 | 15846.2 |
| 455 | 2025-06-11 14:10:35 | nimbleness | 3 | 140603 | 34 | 32.796 | 4287.2 |
| 454 | 2025-06-11 10:53:48 | nimbleness | 2 | 108824 | 6 | 7.343 | 14820.1 |
| 453 | 2025-06-11 07:15:29 | nimbleness | 4 | 161450 | 189 | 47.986 | 3364.5 |
| 452 | 2025-06-11 04:55:16 | nimbleness | 1 | 67641 | 1 | 2.893 | 23380.9 |
| 451 | 2025-06-09 20:50:21 | nimbleness | 1 | 67641 | 1 | 5.076 | 13325.7 |
| 450 | 2025-05-31 05:21:54 | nimbleness | 1 | 67641 | 1 | 6.220 | 10874.8 |
| 449 | 2025-05-20 07:51:17 | nimbleness | 3 | 140603 | 34 | 26.123 | 5382.3 |
| 448 | 2025-05-16 08:01:21 | nimbleness | 3 | 140603 | 34 | 40.033 | 3512.2 |
| 447 | 2025-05-16 07:08:38 | nimbleness | 2 | 108824 | 6 | 14.953 | 7277.7 |
| 446 | 2025-05-15 22:13:35 | nimbleness | 4 | 161450 | 189 | 43.393 | 3720.6 |
| 445 | 2025-05-14 19:43:44 | nimbleness | 3 | 140603 | 34 | 6.046 | 23255.5 |
| 444 | 2025-05-14 07:09:29 | nimbleness | 3 | 140603 | 34 | 35.703 | 3938.1 |
| 443 | 2025-05-13 15:04:27 | nimbleness | 1 | 67641 | 1 | 5.140 | 13159.7 |
| 442 | 2025-05-13 06:24:00 | nimbleness | 3 | 140603 | 34 | 12.766 | 11013.9 |
| 441 | 2025-05-13 03:58:41 | nimbleness | 4 | 161450 | 189 | 39.973 | 4039.0 |
| 440 | 2025-05-13 02:02:06 | nimbleness | 2 | 108824 | 6 | 5.173 | 21036.9 |
| 439 | 2025-04-29 21:09:24 | nimbleness | 1 | 67641 | 1 | 5.813 | 11636.2 |
| 438 | 2025-04-28 05:15:23 | nimbleness | 1 | 67641 | 1 | 5.563 | 12159.1 |
| 437 | 2025-04-14 07:42:18 | nimbleness | 2 | 108824 | 6 | 7.970 | 13654.2 |
| 436 | 2025-04-14 06:53:41 | nimbleness | 1 | 67641 | 1 | 5.813 | 11636.2 |
| 435 | 2025-04-12 18:58:07 | nimbleness | 3 | 140603 | 34 | 6.300 | 22317.9 |
| 434 | 2025-04-10 20:39:42 | nimbleness | 2 | 108824 | 6 | 13.173 | 8261.1 |
| 433 | 2025-04-08 06:22:27 | nimbleness | 3 | 140603 | 34 | 31.546 | 4457.1 |
| 432 | 2025-04-08 03:39:33 | nimbleness | 4 | 161450 | 189 | 44.203 | 3652.5 |
| 431 | 2025-04-08 01:49:18 | nimbleness | 2 | 108824 | 6 | 13.173 | 8261.1 |
| 430 | 2025-04-06 04:35:26 | nimbleness | 1 | 67641 | 1 | 4.516 | 14978.1 |
| 429 | 2025-04-02 20:03:44 | nimbleness | 3 | 140603 | 34 | 17.313 | 8121.2 |
| 428 | 2025-04-01 01:46:44 | nimbleness | 3 | 140603 | 34 | 13.876 | 10132.8 |
| 427 | 2025-03-23 15:47:26 | nimbleness | 3 | 140603 | 34 | 21.610 | 6506.4 |
| 426 | 2025-03-23 07:10:45 | nimbleness | 1 | 67641 | 1 | 5.903 | 11458.7 |
| 425 | 2025-03-23 06:55:16 | nimbleness | 3 | 140603 | 34 | 32.393 | 4340.5 |
| 424 | 2025-03-23 06:45:17 | nimbleness | 3 | 140603 | 34 | 14.753 | 9530.5 |
| 423 | 2025-03-21 10:55:45 | nimbleness | 3 | 140603 | 34 | 32.190 | 4367.9 |
| 422 | 2025-03-19 21:46:35 | nimbleness | 1 | 67641 | 1 | 5.203 | 13000.4 |
| 421 | 2025-03-17 14:49:18 | nimbleness | 1 | 67641 | 1 | 4.890 | 13832.5 |
| 420 | 2025-03-12 07:05:36 | nimbleness | 1 | 67641 | 1 | 7.483 | 9039.3 |
| 419 | 2025-03-09 23:25:52 | nimbleness | 1 | 67641 | 1 | 7.453 | 9075.7 |
| 418 | 2025-02-12 07:17:13 | nimbleness | 3 | 140603 | 34 | 45.126 | 3115.8 |
| 417 | 2025-02-12 07:17:12 | nimbleness | 3 | 140603 | 34 | 32.720 | 4297.2 |
| 416 | 2025-02-09 21:52:42 | nimbleness | 3 | 140603 | 34 | 30.923 | 4546.9 |
| 415 | 2025-02-09 21:52:44 | nimbleness | 2 | 108824 | 6 | 14.753 | 7376.4 |