History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"market"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
441 | 2024-05-04 09:09:14 | market | 1 | 48755 | 4 | 0.860 | 56691.9 |
440 | 2024-05-01 15:21:55 | market | 1 | 48755 | 4 | 0.983 | 49598.2 |
439 | 2024-04-28 21:31:57 | market | 1 | 48755 | 4 | 2.063 | 23633.1 |
438 | 2024-04-27 11:52:50 | market | 1 | 48755 | 4 | 1.170 | 41670.9 |
437 | 2024-04-18 20:44:19 | market | 2 | 82551 | 83 | 2.733 | 30205.3 |
436 | 2024-04-06 07:35:27 | market | 1 | 48755 | 4 | 1.453 | 33554.7 |
435 | 2024-03-30 00:47:58 | market | 1 | 48755 | 4 | 2.093 | 23294.3 |
434 | 2024-03-20 04:49:03 | market | 1 | 48755 | 4 | 0.766 | 63648.8 |
433 | 2024-02-28 05:56:18 | market | 2 | 82551 | 83 | 2.796 | 29524.7 |
432 | 2024-02-28 05:55:27 | market | 3 | 112716 | 1001 | 6.063 | 18590.8 |
431 | 2024-02-27 15:10:36 | market | 3 | 112716 | 1001 | 5.406 | 20850.2 |
430 | 2024-02-27 15:10:33 | market | 2 | 82551 | 83 | 2.686 | 30733.8 |
429 | 2024-02-27 15:10:26 | market | 1 | 48755 | 4 | 0.750 | 65006.7 |
428 | 2024-01-07 05:57:05 | market | 1 | 48755 | 4 | 0.750 | 65006.7 |
427 | 2024-01-05 00:54:06 | market | 1 | 48755 | 4 | 0.796 | 61250.0 |
426 | 2024-01-04 16:44:58 | market | 3 | 112716 | 1001 | 7.250 | 15547.0 |
425 | 2024-01-04 16:44:59 | market | 2 | 82551 | 83 | 2.483 | 33246.5 |
424 | 2024-01-01 14:47:37 | market | 3 | 112716 | 1001 | 4.783 | 23566.0 |
423 | 2023-12-16 08:13:08 | market | 2 | 82551 | 83 | 2.190 | 37694.5 |
422 | 2023-12-14 20:19:39 | market | 3 | 112716 | 1001 | 5.360 | 21029.1 |
421 | 2023-12-14 20:19:37 | market | 2 | 82551 | 83 | 2.470 | 33421.5 |
420 | 2023-12-13 00:55:49 | market | 1 | 48755 | 4 | 0.766 | 63648.8 |
419 | 2023-12-08 04:33:07 | market | 1 | 48755 | 4 | 0.843 | 57835.1 |
418 | 2023-12-08 04:33:06 | market | 1 | 48755 | 4 | 0.856 | 56956.8 |
417 | 2023-12-08 04:26:07 | market | 1 | 48755 | 4 | 0.953 | 51159.5 |
416 | 2023-11-27 01:15:23 | market | 3 | 112716 | 1001 | 4.876 | 23116.5 |
415 | 2023-11-27 01:15:20 | market | 2 | 82551 | 83 | 2.173 | 37989.4 |
414 | 2023-11-25 22:37:52 | market | 1 | 48755 | 4 | 0.796 | 61250.0 |
413 | 2023-11-13 20:10:11 | market | 1 | 48755 | 4 | 0.936 | 52088.7 |
412 | 2023-11-12 03:43:15 | market | 1 | 48755 | 4 | 0.873 | 55847.7 |
411 | 2023-11-05 09:33:46 | market | 1 | 48755 | 4 | 0.860 | 56691.9 |
410 | 2023-10-31 15:18:01 | market | 1 | 48755 | 4 | 0.763 | 63899.1 |
409 | 2023-10-21 23:18:11 | market | 1 | 48755 | 4 | 0.796 | 61250.0 |
408 | 2023-10-17 01:34:56 | market | 1 | 48755 | 4 | 0.826 | 59025.4 |
407 | 2023-10-11 13:40:59 | market | 1 | 48755 | 4 | 0.860 | 56691.9 |
406 | 2023-10-07 10:04:57 | market | 3 | 112716 | 1001 | 5.796 | 19447.2 |
405 | 2023-10-05 06:07:53 | market | 1 | 48755 | 4 | 0.843 | 57835.1 |
404 | 2023-09-27 20:13:27 | market | 2 | 82551 | 83 | 2.940 | 28078.6 |
403 | 2023-09-27 04:08:35 | market | 1 | 48755 | 4 | 0.860 | 56691.9 |
402 | 2023-09-17 04:22:48 | market | 2 | 82551 | 83 | 2.156 | 38289.0 |
401 | 2023-09-13 15:20:01 | market | 1 | 48755 | 4 | 0.813 | 59969.2 |
400 | 2023-08-23 10:58:21 | market | 1 | 48755 | 4 | 0.766 | 63648.8 |
399 | 2023-08-16 17:36:48 | market | 1 | 48755 | 4 | 0.843 | 57835.1 |
398 | 2023-07-19 14:19:09 | market | 3 | 112716 | 1001 | 4.890 | 23050.3 |
397 | 2023-06-23 03:44:07 | market | 2 | 82551 | 83 | 3.703 | 22293.0 |
396 | 2023-05-23 18:56:36 | market | 1 | 48755 | 4 | 0.750 | 65006.7 |
395 | 2023-05-13 06:37:55 | market | 1 | 48755 | 4 | 0.890 | 54780.9 |
394 | 2023-04-02 21:02:44 | market | 3 | 112716 | 1001 | 5.330 | 21147.5 |
393 | 2023-03-21 06:47:45 | market | 1 | 48755 | 4 | 0.750 | 65006.7 |
392 | 2023-03-19 03:42:17 | market | 2 | 82551 | 83 | 2.280 | 36206.6 |
391 | 2023-02-06 23:09:47 | market | 1 | 48755 | 4 | 0.736 | 66243.2 |
390 | 2023-01-06 15:06:09 | market | 1 | 48755 | 4 | 0.750 | 65006.7 |
389 | 2022-12-31 13:47:18 | market | 3 | 112716 | 1001 | 4.843 | 23274.0 |
388 | 2022-12-19 21:26:53 | market | 2 | 82551 | 83 | 2.576 | 32046.2 |
387 | 2022-11-25 14:08:11 | market | 1 | 48755 | 4 | 0.750 | 65006.7 |
386 | 2022-10-13 04:11:23 | market | 1 | 48755 | 4 | 0.766 | 63648.8 |
385 | 2022-10-09 12:38:00 | market | 1 | 48755 | 4 | 0.750 | 65006.7 |
384 | 2022-09-19 19:51:11 | market | 1 | 48755 | 4 | 0.766 | 63648.8 |
383 | 2022-09-18 14:42:40 | market | 1 | 48755 | 4 | 0.843 | 57835.1 |
382 | 2022-09-12 08:18:14 | market | 1 | 48755 | 4 | 0.750 | 65006.7 |
381 | 2022-09-06 23:02:15 | market | 3 | 112716 | 1001 | 4.890 | 23050.3 |
380 | 2022-09-03 19:20:03 | market | 1 | 48755 | 4 | 0.750 | 65006.7 |
379 | 2022-09-02 16:45:43 | market | 3 | 112716 | 1001 | 5.236 | 21527.1 |
378 | 2022-08-31 01:33:18 | market | 1 | 48755 | 4 | 0.766 | 63648.8 |
377 | 2022-08-23 00:11:29 | market | 1 | 48755 | 4 | 0.766 | 63648.8 |
376 | 2022-08-20 01:52:03 | market | 2 | 82551 | 83 | 2.186 | 37763.5 |
375 | 2022-08-15 10:02:50 | market | 1 | 48755 | 4 | 0.860 | 56691.9 |
374 | 2022-08-12 23:32:13 | market | 1 | 48755 | 4 | 0.766 | 63648.8 |
373 | 2022-06-19 02:21:24 | market | 1 | 48755 | 4 | 0.846 | 57630.0 |
372 | 2022-05-29 08:40:51 | market | 1 | 48755 | 4 | 0.763 | 63899.1 |
371 | 2022-05-27 04:01:07 | market | 1 | 48755 | 4 | 0.750 | 65006.7 |
370 | 2022-05-16 03:29:38 | market | 3 | 112716 | 1001 | 5.670 | 19879.4 |
369 | 2022-03-26 03:06:35 | market | 3 | 112716 | 1001 | 5.706 | 19753.9 |
368 | 2022-03-03 11:36:27 | market | 1 | 48755 | 4 | 1.013 | 48129.3 |
367 | 2022-02-23 12:49:45 | market | 1 | 48755 | 4 | 0.983 | 49598.2 |
366 | 2021-12-10 21:51:07 | market | 3 | 112716 | 1001 | 6.063 | 18590.8 |
365 | 2021-11-23 06:33:45 | market | 1 | 48755 | 4 | 0.843 | 57835.1 |
364 | 2021-11-11 10:38:36 | market | 1 | 48755 | 4 | 0.763 | 63899.1 |
363 | 2021-10-07 13:16:25 | market | 1 | 48755 | 4 | 0.780 | 62506.4 |
362 | 2021-10-05 09:39:14 | market | 1 | 48755 | 4 | 0.766 | 63648.8 |
361 | 2021-08-31 21:27:56 | market | 1 | 48755 | 4 | 0.750 | 65006.7 |
360 | 2021-08-20 06:35:21 | market | 1 | 48755 | 4 | 0.843 | 57835.1 |
359 | 2021-08-16 15:03:04 | market | 1 | 48755 | 4 | 0.750 | 65006.7 |
358 | 2021-05-19 13:26:21 | market | 1 | 48755 | 4 | 0.783 | 62266.9 |
357 | 2021-03-25 10:07:04 | market | 1 | 48755 | 4 | 1.673 | 29142.3 |
356 | 2021-02-27 15:28:34 | market | 1 | 48755 | 4 | 0.890 | 54780.9 |
355 | 2021-02-27 14:34:50 | market | 1 | 48755 | 4 | 0.890 | 54780.9 |
354 | 2021-02-16 15:58:44 | market | 1 | 48755 | 4 | 0.780 | 62506.4 |
353 | 2020-11-17 11:19:49 | market | 1 | 48755 | 4 | 0.826 | 59025.4 |
352 | 2020-11-17 03:37:00 | market | 1 | 48755 | 4 | 0.766 | 63648.8 |
351 | 2020-10-15 18:15:42 | market | 1 | 48755 | 4 | 0.780 | 62506.4 |
350 | 2020-08-11 19:49:08 | market | 1 | 48755 | 4 | 0.766 | 63648.8 |
349 | 2020-06-19 01:10:56 | market | 1 | 48755 | 4 | 0.860 | 56691.9 |
348 | 2020-05-13 14:35:56 | market | 1 | 48755 | 4 | 0.783 | 62266.9 |
347 | 2020-03-26 06:09:32 | market | 1 | 48755 | 4 | 0.893 | 54596.9 |
346 | 2020-03-25 18:36:28 | market | 1 | 48755 | 4 | 0.846 | 57630.0 |
345 | 2020-03-25 11:58:37 | market | 1 | 48755 | 4 | 0.826 | 59025.4 |
344 | 2020-03-24 00:20:17 | market | 1 | 48755 | 4 | 0.876 | 55656.4 |
343 | 2020-03-23 05:38:17 | market | 1 | 48755 | 4 | 0.860 | 56691.9 |
342 | 2020-03-22 00:04:28 | market | 1 | 48755 | 4 | 0.763 | 63899.1 |