History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"hexameters"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
466 | 2024-03-25 17:43:49 | hexameters | 1 | 67641 | 2 | 1.156 | 58513.0 |
465 | 2024-03-21 05:17:43 | hexameters | 4 | 161450 | 240 | 26.906 | 6000.5 |
464 | 2024-03-19 14:22:14 | hexameters | 1 | 67641 | 2 | 1.156 | 58513.0 |
463 | 2024-03-18 06:07:20 | hexameters | 1 | 67641 | 2 | 1.186 | 57032.9 |
462 | 2024-03-14 16:53:54 | hexameters | 4 | 161450 | 240 | 31.453 | 5133.1 |
461 | 2024-03-11 18:02:21 | hexameters | 4 | 161450 | 240 | 41.080 | 3930.1 |
460 | 2024-03-10 17:06:11 | hexameters | 3 | 140603 | 37 | 21.110 | 6660.5 |
459 | 2024-03-10 17:06:06 | hexameters | 2 | 108824 | 5 | 3.670 | 29652.3 |
458 | 2024-03-10 00:49:24 | hexameters | 4 | 161450 | 240 | 41.316 | 3907.7 |
457 | 2024-03-09 17:28:38 | hexameters | 4 | 161450 | 240 | 23.360 | 6911.4 |
456 | 2024-03-09 17:28:38 | hexameters | 3 | 140603 | 37 | 8.873 | 15846.2 |
455 | 2024-03-09 17:28:34 | hexameters | 2 | 108824 | 5 | 4.250 | 25605.6 |
454 | 2024-03-09 17:22:52 | hexameters | 1 | 67641 | 2 | 2.110 | 32057.3 |
453 | 2024-02-18 00:21:34 | hexameters | 1 | 67641 | 2 | 1.000 | 67641.0 |
452 | 2024-02-15 02:15:57 | hexameters | 3 | 140603 | 37 | 7.500 | 18747.1 |
451 | 2024-02-15 02:15:14 | hexameters | 1 | 67641 | 2 | 0.983 | 68810.8 |
450 | 2024-02-13 08:24:06 | hexameters | 4 | 161450 | 240 | 10.283 | 15700.7 |
449 | 2024-02-11 14:44:28 | hexameters | 1 | 67641 | 2 | 1.203 | 56226.9 |
448 | 2024-02-11 13:42:42 | hexameters | 3 | 140603 | 37 | 10.940 | 12852.2 |
447 | 2024-02-10 21:19:13 | hexameters | 3 | 140603 | 37 | 13.983 | 10055.3 |
446 | 2024-02-10 19:27:30 | hexameters | 1 | 67641 | 2 | 1.033 | 65480.2 |
445 | 2024-01-30 07:01:16 | hexameters | 1 | 67641 | 2 | 2.360 | 28661.4 |
444 | 2024-01-26 09:27:18 | hexameters | 2 | 108824 | 5 | 3.110 | 34991.6 |
443 | 2024-01-24 13:49:45 | hexameters | 4 | 161450 | 240 | 9.313 | 17336.0 |
442 | 2024-01-22 15:34:20 | hexameters | 1 | 67641 | 2 | 1.126 | 60071.9 |
441 | 2024-01-12 01:34:04 | hexameters | 1 | 67641 | 2 | 1.110 | 60937.8 |
440 | 2023-12-11 18:51:16 | hexameters | 3 | 140603 | 37 | 5.280 | 26629.4 |
439 | 2023-12-08 11:56:00 | hexameters | 1 | 67641 | 2 | 1.280 | 52844.5 |
438 | 2023-12-02 16:27:02 | hexameters | 3 | 140603 | 37 | 6.080 | 23125.5 |
437 | 2023-12-02 16:26:57 | hexameters | 2 | 108824 | 5 | 2.703 | 40260.5 |
436 | 2023-11-14 00:48:04 | hexameters | 1 | 67641 | 2 | 1.160 | 58311.2 |
435 | 2023-11-11 01:52:15 | hexameters | 4 | 161450 | 240 | 12.656 | 12756.8 |
434 | 2023-11-10 04:59:32 | hexameters | 1 | 67641 | 2 | 1.000 | 67641.0 |
433 | 2023-11-10 04:43:24 | hexameters | 4 | 161450 | 240 | 12.233 | 13197.9 |
432 | 2023-11-03 19:34:06 | hexameters | 4 | 161450 | 240 | 15.863 | 10177.8 |
431 | 2023-11-02 07:20:40 | hexameters | 2 | 108824 | 5 | 4.330 | 25132.6 |
430 | 2023-10-11 10:51:11 | hexameters | 1 | 67641 | 2 | 2.110 | 32057.3 |
429 | 2023-09-28 06:11:09 | hexameters | 1 | 67641 | 2 | 0.983 | 68810.8 |
428 | 2023-09-11 03:02:23 | hexameters | 1 | 67641 | 2 | 1.250 | 54112.8 |
427 | 2023-09-09 15:34:45 | hexameters | 3 | 140603 | 37 | 5.313 | 26464.0 |
426 | 2023-09-08 14:08:12 | hexameters | 1 | 67641 | 2 | 1.030 | 65670.9 |
425 | 2023-08-11 21:09:57 | hexameters | 4 | 161450 | 240 | 10.283 | 15700.7 |
424 | 2023-08-08 02:24:49 | hexameters | 2 | 108824 | 5 | 2.596 | 41919.9 |
423 | 2023-05-27 13:41:38 | hexameters | 3 | 140603 | 37 | 5.343 | 26315.4 |
422 | 2023-05-08 17:16:42 | hexameters | 1 | 67641 | 2 | 0.983 | 68810.8 |
421 | 2023-04-23 04:12:50 | hexameters | 4 | 161450 | 240 | 10.330 | 15629.2 |
420 | 2023-04-16 01:59:32 | hexameters | 2 | 108824 | 5 | 2.733 | 39818.5 |
419 | 2023-03-08 02:27:00 | hexameters | 3 | 140603 | 37 | 5.343 | 26315.4 |
418 | 2023-02-02 20:31:54 | hexameters | 1 | 67641 | 2 | 1.000 | 67641.0 |
417 | 2023-01-26 20:15:08 | hexameters | 4 | 161450 | 240 | 9.220 | 17510.8 |
416 | 2023-01-21 05:50:48 | hexameters | 2 | 108824 | 5 | 4.123 | 26394.4 |
415 | 2023-01-15 06:00:05 | hexameters | 1 | 67641 | 2 | 1.063 | 63632.2 |
414 | 2023-01-14 07:03:57 | hexameters | 1 | 67641 | 2 | 1.063 | 63632.2 |
413 | 2022-12-17 21:16:51 | hexameters | 1 | 67641 | 2 | 1.170 | 57812.8 |
412 | 2022-12-12 20:26:59 | hexameters | 3 | 140603 | 37 | 5.343 | 26315.4 |
411 | 2022-11-15 22:53:51 | hexameters | 1 | 67641 | 2 | 1.000 | 67641.0 |
410 | 2022-11-07 21:43:54 | hexameters | 4 | 161450 | 240 | 9.360 | 17248.9 |
409 | 2022-11-02 14:18:23 | hexameters | 2 | 108824 | 5 | 2.890 | 37655.4 |
408 | 2022-10-31 06:58:12 | hexameters | 1 | 67641 | 2 | 1.000 | 67641.0 |
407 | 2022-09-29 12:31:46 | hexameters | 1 | 67641 | 2 | 0.983 | 68810.8 |
406 | 2022-09-06 02:49:13 | hexameters | 1 | 67641 | 2 | 1.000 | 67641.0 |
405 | 2022-09-02 19:23:17 | hexameters | 1 | 67641 | 2 | 0.986 | 68601.4 |
404 | 2022-07-30 08:57:21 | hexameters | 3 | 140603 | 37 | 5.423 | 25927.2 |
403 | 2022-07-10 21:03:20 | hexameters | 1 | 67641 | 2 | 1.000 | 67641.0 |
402 | 2022-06-11 11:57:48 | hexameters | 1 | 67641 | 2 | 1.013 | 66773.0 |
401 | 2022-06-09 17:08:27 | hexameters | 4 | 161450 | 240 | 9.983 | 16172.5 |
400 | 2022-06-03 13:56:17 | hexameters | 2 | 108824 | 5 | 2.813 | 38686.1 |
399 | 2022-05-13 18:17:50 | hexameters | 4 | 161450 | 240 | 10.403 | 15519.6 |
398 | 2022-05-09 21:36:49 | hexameters | 1 | 67641 | 2 | 1.530 | 44209.8 |
397 | 2022-04-28 19:56:03 | hexameters | 4 | 161450 | 240 | 11.800 | 13682.2 |
396 | 2022-04-26 18:32:15 | hexameters | 4 | 161450 | 240 | 10.376 | 15559.9 |
395 | 2022-04-25 21:50:46 | hexameters | 4 | 161450 | 240 | 10.560 | 15288.8 |
394 | 2022-04-23 20:34:35 | hexameters | 4 | 161450 | 240 | 9.486 | 17019.8 |
393 | 2022-04-22 20:08:35 | hexameters | 4 | 161450 | 240 | 11.236 | 14369.0 |
392 | 2022-04-21 19:56:07 | hexameters | 4 | 161450 | 240 | 10.593 | 15241.2 |
391 | 2022-04-20 16:15:20 | hexameters | 4 | 161450 | 240 | 10.796 | 14954.6 |
390 | 2022-04-19 18:20:10 | hexameters | 4 | 161450 | 240 | 10.096 | 15991.5 |
389 | 2022-04-16 22:31:41 | hexameters | 4 | 161450 | 240 | 9.970 | 16193.6 |
388 | 2022-04-16 04:45:20 | hexameters | 1 | 67641 | 2 | 0.983 | 68810.8 |
387 | 2022-03-26 06:47:52 | hexameters | 1 | 67641 | 2 | 1.126 | 60071.9 |
386 | 2022-03-20 13:13:35 | hexameters | 3 | 140603 | 37 | 6.343 | 22166.6 |
385 | 2022-03-01 21:51:19 | hexameters | 4 | 161450 | 240 | 10.456 | 15440.9 |
384 | 2022-02-28 22:18:41 | hexameters | 4 | 161450 | 240 | 9.783 | 16503.1 |
383 | 2022-02-27 22:52:01 | hexameters | 4 | 161450 | 240 | 11.296 | 14292.7 |
382 | 2022-02-25 17:00:53 | hexameters | 4 | 161450 | 240 | 13.190 | 12240.3 |
381 | 2022-02-24 15:20:56 | hexameters | 4 | 161450 | 240 | 12.923 | 12493.2 |
380 | 2022-02-24 02:15:41 | hexameters | 4 | 161450 | 240 | 11.000 | 14677.3 |
379 | 2022-02-23 15:05:48 | hexameters | 4 | 161450 | 240 | 11.096 | 14550.3 |
378 | 2022-02-22 19:57:01 | hexameters | 4 | 161450 | 240 | 11.486 | 14056.2 |
377 | 2022-02-22 01:05:32 | hexameters | 4 | 161450 | 240 | 10.860 | 14866.5 |
376 | 2022-02-21 04:55:15 | hexameters | 4 | 161450 | 240 | 10.703 | 15084.6 |
375 | 2022-02-20 15:33:56 | hexameters | 4 | 161450 | 240 | 9.766 | 16531.8 |
374 | 2022-02-20 02:46:42 | hexameters | 4 | 161450 | 240 | 9.330 | 17304.4 |
373 | 2022-02-19 09:21:21 | hexameters | 4 | 161450 | 240 | 10.393 | 15534.5 |
372 | 2022-02-18 22:30:36 | hexameters | 4 | 161450 | 240 | 13.470 | 11985.9 |
371 | 2022-02-18 10:21:28 | hexameters | 4 | 161450 | 240 | 9.720 | 16610.1 |
370 | 2022-02-17 23:52:37 | hexameters | 4 | 161450 | 240 | 22.250 | 7256.2 |
369 | 2022-02-16 20:12:32 | hexameters | 4 | 161450 | 240 | 10.376 | 15559.9 |
368 | 2022-02-16 02:11:00 | hexameters | 4 | 161450 | 240 | 9.610 | 16800.2 |
367 | 2022-02-15 06:05:13 | hexameters | 4 | 161450 | 240 | 9.623 | 16777.5 |