History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"quantizing"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 506 | 2026-03-17 10:27:15 | quantizing | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 505 | 2026-03-17 09:36:27 | quantizing | 3 | 140603 | 29 | 8.576 | 16394.9 |
| 504 | 2026-03-17 08:20:27 | quantizing | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 503 | 2026-03-16 16:47:03 | quantizing | 1 | 67641 | 1 | 5.360 | 12619.6 |
| 502 | 2026-03-15 02:41:51 | quantizing | 3 | 140603 | 29 | 31.753 | 4428.0 |
| 501 | 2026-03-15 02:41:27 | quantizing | 3 | 140603 | 29 | 44.723 | 3143.9 |
| 500 | 2026-03-14 13:39:28 | quantizing | 2 | 108824 | 3 | 15.110 | 7202.1 |
| 499 | 2026-03-11 11:09:47 | quantizing | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 498 | 2026-03-09 19:53:44 | quantizing | 1 | 67641 | 1 | 1.236 | 54725.7 |
| 497 | 2026-03-09 19:01:09 | quantizing | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 496 | 2026-03-09 03:21:08 | quantizing | 1 | 67641 | 1 | 0.983 | 68810.8 |
| 495 | 2026-03-05 09:40:10 | quantizing | 4 | 161450 | 224 | 13.063 | 12359.3 |
| 494 | 2026-02-23 18:19:12 | quantizing | 3 | 140603 | 29 | 7.013 | 20048.9 |
| 493 | 2026-02-22 08:11:18 | quantizing | 2 | 108824 | 3 | 2.763 | 39386.2 |
| 492 | 2026-02-21 19:59:26 | quantizing | 3 | 140603 | 29 | 6.456 | 21778.7 |
| 491 | 2026-02-21 15:55:31 | quantizing | 3 | 140603 | 29 | 6.360 | 22107.4 |
| 490 | 2026-02-17 19:21:45 | quantizing | 3 | 140603 | 29 | 5.830 | 24117.2 |
| 489 | 2026-02-17 19:21:25 | quantizing | 2 | 108824 | 3 | 2.936 | 37065.4 |
| 488 | 2026-02-17 17:56:22 | quantizing | 2 | 108824 | 3 | 5.046 | 21566.4 |
| 487 | 2026-02-17 09:47:38 | quantizing | 3 | 140603 | 29 | 5.560 | 25288.3 |
| 486 | 2026-02-17 07:31:09 | quantizing | 3 | 140603 | 29 | 6.703 | 20976.1 |
| 485 | 2026-02-17 07:05:34 | quantizing | 2 | 108824 | 3 | 9.076 | 11990.3 |
| 484 | 2026-02-17 05:12:03 | quantizing | 3 | 140603 | 29 | 6.326 | 22226.2 |
| 483 | 2026-02-15 03:32:14 | quantizing | 4 | 161450 | 224 | 21.063 | 7665.1 |
| 482 | 2026-02-12 07:39:46 | quantizing | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 481 | 2026-02-10 20:41:02 | quantizing | 1 | 67641 | 1 | 3.330 | 20312.6 |
| 480 | 2026-02-10 20:40:41 | quantizing | 1 | 67641 | 1 | 2.596 | 26055.9 |
| 479 | 2026-02-10 20:40:15 | quantizing | 1 | 67641 | 1 | 7.440 | 9091.5 |
| 478 | 2026-02-09 07:28:52 | quantizing | 4 | 161450 | 224 | 23.533 | 6860.6 |
| 477 | 2026-02-04 12:37:31 | quantizing | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 476 | 2026-02-04 11:34:44 | quantizing | 4 | 161450 | 224 | 11.173 | 14450.0 |
| 475 | 2026-02-04 08:59:13 | quantizing | 4 | 161450 | 224 | 11.780 | 13705.4 |
| 474 | 2026-02-02 23:39:58 | quantizing | 4 | 161450 | 224 | 15.440 | 10456.6 |
| 473 | 2026-02-02 12:42:36 | quantizing | 4 | 161450 | 224 | 12.233 | 13197.9 |
| 472 | 2026-02-02 05:50:18 | quantizing | 4 | 161450 | 224 | 11.283 | 14309.1 |
| 471 | 2026-02-01 15:38:15 | quantizing | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 470 | 2026-01-27 20:42:19 | quantizing | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 469 | 2026-01-25 00:39:20 | quantizing | 1 | 67641 | 1 | 1.046 | 64666.3 |
| 468 | 2026-01-20 18:32:51 | quantizing | 1 | 67641 | 1 | 0.986 | 68601.4 |
| 467 | 2026-01-15 11:13:32 | quantizing | 1 | 67641 | 1 | 1.640 | 41244.5 |
| 466 | 2026-01-09 16:28:59 | quantizing | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 465 | 2026-01-01 07:29:48 | quantizing | 4 | 161450 | 224 | 11.593 | 13926.5 |
| 464 | 2025-12-31 22:37:55 | quantizing | 1 | 67641 | 1 | 1.160 | 58311.2 |
| 463 | 2025-12-31 02:23:44 | quantizing | 4 | 161450 | 224 | 13.123 | 12302.8 |
| 462 | 2025-12-30 01:37:16 | quantizing | 2 | 108824 | 3 | 11.750 | 9261.6 |
| 461 | 2025-12-29 15:42:35 | quantizing | 4 | 161450 | 224 | 12.436 | 12982.5 |
| 460 | 2025-12-29 10:04:51 | quantizing | 4 | 161450 | 224 | 10.533 | 15328.0 |
| 459 | 2025-12-29 05:05:29 | quantizing | 2 | 108824 | 3 | 3.033 | 35880.0 |
| 458 | 2025-12-29 02:22:55 | quantizing | 4 | 161450 | 224 | 11.346 | 14229.7 |
| 457 | 2025-12-28 20:05:20 | quantizing | 2 | 108824 | 3 | 2.923 | 37230.2 |
| 456 | 2025-12-28 18:13:20 | quantizing | 3 | 140603 | 29 | 6.703 | 20976.1 |
| 455 | 2025-12-28 09:18:31 | quantizing | 3 | 140603 | 29 | 6.000 | 23433.8 |
| 454 | 2025-12-25 03:12:37 | quantizing | 1 | 67641 | 1 | 1.143 | 59178.5 |
| 453 | 2025-12-23 02:48:16 | quantizing | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 452 | 2025-12-19 19:58:14 | quantizing | 1 | 67641 | 1 | 2.343 | 28869.4 |
| 451 | 2025-12-17 17:54:01 | quantizing | 3 | 140603 | 29 | 21.876 | 6427.3 |
| 450 | 2025-12-17 00:54:07 | quantizing | 1 | 67641 | 1 | 5.076 | 13325.7 |
| 449 | 2025-12-15 09:44:46 | quantizing | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 448 | 2025-12-15 07:30:33 | quantizing | 4 | 161450 | 224 | 11.360 | 14212.1 |
| 447 | 2025-12-13 04:25:34 | quantizing | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 446 | 2025-12-13 00:07:44 | quantizing | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 445 | 2025-12-10 16:36:45 | quantizing | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 444 | 2025-12-10 08:33:57 | quantizing | 1 | 67641 | 1 | 1.106 | 61158.2 |
| 443 | 2025-12-07 20:11:39 | quantizing | 4 | 161450 | 224 | 12.063 | 13383.9 |
| 442 | 2025-12-04 15:44:33 | quantizing | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 441 | 2025-12-03 13:31:02 | quantizing | 4 | 161450 | 224 | 10.283 | 15700.7 |
| 440 | 2025-12-01 11:12:35 | quantizing | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 439 | 2025-12-01 03:18:53 | quantizing | 3 | 140603 | 29 | 6.530 | 21531.9 |
| 438 | 2025-11-26 20:22:01 | quantizing | 1 | 67641 | 1 | 1.126 | 60071.9 |
| 437 | 2025-11-25 04:05:16 | quantizing | 2 | 108824 | 3 | 3.203 | 33975.6 |
| 436 | 2025-11-24 23:25:37 | quantizing | 4 | 161450 | 224 | 10.970 | 14717.4 |
| 435 | 2025-11-23 19:01:43 | quantizing | 3 | 140603 | 29 | 5.610 | 25062.9 |
| 434 | 2025-11-23 01:38:32 | quantizing | 3 | 140603 | 29 | 6.046 | 23255.5 |
| 433 | 2025-11-22 10:16:08 | quantizing | 3 | 140603 | 29 | 42.750 | 3289.0 |
| 432 | 2025-11-20 17:55:28 | quantizing | 3 | 140603 | 29 | 5.780 | 24325.8 |
| 431 | 2025-11-12 19:29:33 | quantizing | 3 | 140603 | 29 | 12.500 | 11248.2 |
| 430 | 2025-11-06 21:10:54 | quantizing | 2 | 108824 | 3 | 2.983 | 36481.4 |
| 429 | 2025-11-05 15:29:31 | quantizing | 1 | 67641 | 1 | 1.640 | 41244.5 |
| 428 | 2025-10-28 18:58:36 | quantizing | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 427 | 2025-10-28 06:24:49 | quantizing | 4 | 161450 | 224 | 10.970 | 14717.4 |
| 426 | 2025-10-27 23:48:20 | quantizing | 2 | 108824 | 3 | 3.360 | 32388.1 |
| 425 | 2025-10-26 12:38:36 | quantizing | 1 | 67641 | 1 | 1.106 | 61158.2 |
| 424 | 2025-10-18 08:38:01 | quantizing | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 423 | 2025-10-04 15:46:43 | quantizing | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 422 | 2025-09-26 06:55:22 | quantizing | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 421 | 2025-09-24 17:38:55 | quantizing | 3 | 140603 | 29 | 5.940 | 23670.5 |
| 420 | 2025-09-20 02:19:06 | quantizing | 1 | 67641 | 1 | 1.220 | 55443.4 |
| 419 | 2025-09-14 23:53:57 | quantizing | 2 | 108824 | 3 | 3.126 | 34812.5 |
| 418 | 2025-09-11 07:09:38 | quantizing | 2 | 108824 | 3 | 3.093 | 35184.0 |
| 417 | 2025-09-10 19:30:26 | quantizing | 2 | 108824 | 3 | 3.236 | 33629.2 |
| 416 | 2025-09-10 09:33:17 | quantizing | 3 | 140603 | 29 | 6.266 | 22439.0 |
| 415 | 2025-09-08 04:23:24 | quantizing | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 414 | 2025-09-07 09:23:49 | quantizing | 4 | 161450 | 224 | 10.360 | 15584.0 |
| 413 | 2025-09-02 18:48:21 | quantizing | 1 | 67641 | 1 | 1.126 | 60071.9 |
| 412 | 2025-08-24 07:25:04 | quantizing | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 411 | 2025-08-18 21:51:25 | quantizing | 1 | 67641 | 1 | 7.216 | 9373.8 |
| 410 | 2025-08-17 12:23:26 | quantizing | 1 | 67641 | 1 | 2.266 | 29850.4 |
| 409 | 2025-08-15 03:04:30 | quantizing | 1 | 67641 | 1 | 3.263 | 20729.7 |
| 408 | 2025-08-13 00:37:57 | quantizing | 4 | 161450 | 224 | 50.173 | 3217.9 |
| 407 | 2025-08-11 00:24:36 | quantizing | 4 | 161450 | 224 | 11.266 | 14330.7 |