History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"rebate"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
428 | 2024-04-06 09:40:44 | rebate | 2 | 82551 | 101 | 5.846 | 14120.9 |
427 | 2024-04-06 09:40:42 | rebate | 1 | 48755 | 9 | 1.000 | 48755.0 |
426 | 2024-03-28 17:27:28 | rebate | 1 | 48755 | 9 | 1.983 | 24586.5 |
425 | 2024-03-07 00:03:48 | rebate | 1 | 48755 | 9 | 2.326 | 20960.9 |
424 | 2024-03-04 19:40:00 | rebate | 1 | 48755 | 9 | 2.046 | 23829.4 |
423 | 2024-02-28 10:28:22 | rebate | 1 | 48755 | 9 | 1.123 | 43415.0 |
422 | 2024-02-28 04:55:21 | rebate | 1 | 48755 | 9 | 1.890 | 25796.3 |
421 | 2024-01-27 10:41:28 | rebate | 1 | 48755 | 9 | 0.923 | 52822.3 |
420 | 2023-12-12 20:15:04 | rebate | 1 | 48755 | 9 | 0.766 | 63648.8 |
419 | 2023-12-12 07:26:28 | rebate | 2 | 82551 | 101 | 2.313 | 35690.0 |
418 | 2023-12-07 01:19:33 | rebate | 2 | 82551 | 101 | 2.470 | 33421.5 |
417 | 2023-11-30 00:08:14 | rebate | 1 | 48755 | 9 | 1.906 | 25579.7 |
416 | 2023-11-26 17:55:25 | rebate | 1 | 48755 | 9 | 0.843 | 57835.1 |
415 | 2023-11-11 06:40:43 | rebate | 1 | 48755 | 9 | 0.843 | 57835.1 |
414 | 2023-11-10 12:36:19 | rebate | 1 | 48755 | 9 | 0.796 | 61250.0 |
413 | 2023-11-06 12:52:44 | rebate | 1 | 48755 | 9 | 0.750 | 65006.7 |
412 | 2023-10-24 08:50:29 | rebate | 1 | 48755 | 9 | 0.843 | 57835.1 |
411 | 2023-10-18 16:51:02 | rebate | 1 | 48755 | 9 | 0.780 | 62506.4 |
410 | 2023-10-11 05:56:11 | rebate | 1 | 48755 | 9 | 0.843 | 57835.1 |
409 | 2023-10-08 01:06:41 | rebate | 1 | 48755 | 9 | 0.766 | 63648.8 |
408 | 2023-09-27 08:43:53 | rebate | 1 | 48755 | 9 | 0.780 | 62506.4 |
407 | 2023-09-25 16:44:31 | rebate | 1 | 48755 | 9 | 0.766 | 63648.8 |
406 | 2023-09-24 00:37:15 | rebate | 1 | 48755 | 9 | 0.876 | 55656.4 |
405 | 2023-08-14 08:27:52 | rebate | 1 | 48755 | 9 | 0.890 | 54780.9 |
404 | 2023-08-10 22:06:15 | rebate | 1 | 48755 | 9 | 0.860 | 56691.9 |
403 | 2023-07-24 14:15:31 | rebate | 1 | 48755 | 9 | 0.890 | 54780.9 |
402 | 2023-05-07 04:00:27 | rebate | 1 | 48755 | 9 | 0.750 | 65006.7 |
401 | 2023-04-24 01:05:02 | rebate | 1 | 48755 | 9 | 0.766 | 63648.8 |
400 | 2023-02-15 03:38:47 | rebate | 1 | 48755 | 9 | 0.843 | 57835.1 |
399 | 2023-01-28 11:48:02 | rebate | 1 | 48755 | 9 | 0.750 | 65006.7 |
398 | 2022-12-12 18:46:54 | rebate | 1 | 48755 | 9 | 0.873 | 55847.7 |
397 | 2022-10-14 05:36:46 | rebate | 1 | 48755 | 9 | 0.796 | 61250.0 |
396 | 2022-08-17 13:51:18 | rebate | 1 | 48755 | 9 | 0.763 | 63899.1 |
395 | 2022-07-05 09:59:18 | rebate | 1 | 48755 | 9 | 0.763 | 63899.1 |
394 | 2022-03-24 22:17:25 | rebate | 1 | 48755 | 9 | 0.936 | 52088.7 |
393 | 2022-02-28 15:38:59 | rebate | 1 | 48755 | 9 | 1.360 | 35849.3 |
392 | 2021-12-19 15:17:14 | rebate | 1 | 48755 | 9 | 0.813 | 59969.2 |
391 | 2021-12-14 01:56:53 | rebate | 1 | 48755 | 9 | 1.750 | 27860.0 |
390 | 2021-10-24 15:25:13 | rebate | 1 | 48755 | 9 | 0.860 | 56691.9 |
389 | 2021-09-16 23:18:31 | rebate | 1 | 48755 | 9 | 0.766 | 63648.8 |
388 | 2021-09-14 19:58:24 | rebate | 1 | 48755 | 9 | 0.830 | 58741.0 |
387 | 2021-09-06 19:14:31 | rebate | 1 | 48755 | 9 | 0.750 | 65006.7 |
386 | 2021-07-08 19:35:07 | rebate | 1 | 48755 | 9 | 0.873 | 55847.7 |
385 | 2021-06-05 19:07:36 | rebate | 1 | 48755 | 9 | 0.813 | 59969.2 |
384 | 2021-04-24 06:25:01 | rebate | 1 | 48755 | 9 | 0.876 | 55656.4 |
383 | 2021-03-26 05:31:51 | rebate | 1 | 48755 | 9 | 0.873 | 55847.7 |
382 | 2021-03-03 16:05:42 | rebate | 1 | 48755 | 9 | 0.750 | 65006.7 |
381 | 2021-02-22 05:42:02 | rebate | 1 | 48755 | 9 | 0.936 | 52088.7 |
380 | 2021-02-19 01:25:44 | rebate | 1 | 48755 | 9 | 0.876 | 55656.4 |
379 | 2021-01-09 11:41:40 | rebate | 1 | 48755 | 9 | 0.783 | 62266.9 |
378 | 2020-11-28 04:00:06 | rebate | 1 | 48755 | 9 | 0.796 | 61250.0 |
377 | 2020-11-03 08:35:09 | rebate | 1 | 48755 | 9 | 0.970 | 50262.9 |
376 | 2020-10-27 21:06:00 | rebate | 1 | 48755 | 9 | 0.843 | 57835.1 |
375 | 2020-10-19 12:31:24 | rebate | 1 | 48755 | 9 | 0.780 | 62506.4 |
374 | 2020-10-16 21:05:25 | rebate | 1 | 48755 | 9 | 0.780 | 62506.4 |
373 | 2020-09-27 16:10:40 | rebate | 1 | 48755 | 9 | 0.750 | 65006.7 |
372 | 2020-08-25 03:48:00 | rebate | 1 | 48755 | 9 | 1.000 | 48755.0 |
371 | 2020-08-20 18:40:13 | rebate | 1 | 48755 | 9 | 0.796 | 61250.0 |
370 | 2020-08-03 07:27:44 | rebate | 1 | 48755 | 9 | 0.876 | 55656.4 |
369 | 2020-05-23 18:16:51 | rebate | 1 | 48755 | 9 | 0.750 | 65006.7 |
368 | 2020-05-11 23:26:06 | rebate | 1 | 48755 | 9 | 0.796 | 61250.0 |
367 | 2020-03-26 01:01:09 | rebate | 1 | 48755 | 9 | 0.783 | 62266.9 |
366 | 2020-03-25 09:56:34 | rebate | 1 | 48755 | 9 | 1.030 | 47335.0 |
365 | 2020-03-25 00:41:17 | rebate | 1 | 48755 | 9 | 0.936 | 52088.7 |
364 | 2020-03-23 05:24:30 | rebate | 1 | 48755 | 9 | 0.876 | 55656.4 |
363 | 2020-03-21 21:39:34 | rebate | 1 | 48755 | 9 | 0.873 | 55847.7 |
362 | 2020-03-18 16:36:31 | rebate | 1 | 48755 | 9 | 0.893 | 54596.9 |
361 | 2020-02-26 08:55:09 | rebate | 1 | 48755 | 9 | 1.873 | 26030.4 |
360 | 2020-02-26 07:35:44 | rebate | 1 | 48755 | 9 | 0.906 | 53813.5 |
359 | 2020-02-25 10:02:17 | rebate | 1 | 48755 | 9 | 0.970 | 50262.9 |
358 | 2020-02-24 07:59:44 | rebate | 1 | 48755 | 9 | 2.050 | 23782.9 |
357 | 2020-02-20 14:09:04 | rebate | 1 | 48755 | 9 | 1.000 | 48755.0 |
356 | 2020-02-19 12:57:05 | rebate | 1 | 48755 | 9 | 0.860 | 56691.9 |
355 | 2020-02-19 03:31:36 | rebate | 1 | 48755 | 9 | 1.953 | 24964.2 |
354 | 2020-02-14 11:55:12 | rebate | 1 | 48755 | 9 | 1.983 | 24586.5 |
353 | 2020-02-10 07:28:25 | rebate | 1 | 48755 | 9 | 0.920 | 52994.6 |
352 | 2020-01-31 02:32:13 | rebate | 1 | 48755 | 9 | 0.936 | 52088.7 |
351 | 2020-01-30 06:27:19 | rebate | 1 | 48755 | 9 | 1.096 | 44484.5 |
350 | 2020-01-30 02:43:59 | rebate | 1 | 48755 | 9 | 1.920 | 25393.2 |
349 | 2020-01-27 01:48:36 | rebate | 1 | 48755 | 9 | 0.796 | 61250.0 |
348 | 2020-01-25 03:55:10 | rebate | 1 | 48755 | 9 | 4.000 | 12188.8 |
347 | 2020-01-22 15:43:53 | rebate | 1 | 48755 | 9 | 1.016 | 47987.2 |
346 | 2020-01-13 03:19:23 | rebate | 1 | 48755 | 9 | 0.920 | 52994.6 |
345 | 2020-01-11 20:13:29 | rebate | 1 | 48755 | 9 | 0.893 | 54596.9 |
344 | 2020-01-10 21:48:16 | rebate | 1 | 48755 | 9 | 0.953 | 51159.5 |
343 | 2020-01-03 21:47:02 | rebate | 1 | 48755 | 9 | 0.920 | 52994.6 |
342 | 2019-12-26 14:07:04 | rebate | 1 | 48755 | 9 | 0.906 | 53813.5 |
341 | 2019-12-26 13:11:19 | rebate | 1 | 48755 | 9 | 0.860 | 56691.9 |
340 | 2019-12-26 11:35:24 | rebate | 1 | 48755 | 9 | 0.983 | 49598.2 |
339 | 2019-12-25 01:17:53 | rebate | 1 | 48755 | 9 | 0.906 | 53813.5 |
338 | 2019-11-30 10:14:13 | rebate | 1 | 48755 | 9 | 0.843 | 57835.1 |
337 | 2019-11-21 14:22:26 | rebate | 1 | 48755 | 9 | 0.890 | 54780.9 |
336 | 2019-08-19 17:16:47 | rebate | 1 | 48755 | 9 | 0.716 | 68093.6 |
335 | 2019-07-10 17:21:05 | rebate | 1 | 48755 | 9 | 0.746 | 65355.2 |
334 | 2019-06-04 04:00:19 | rebate | 1 | 48755 | 9 | 0.856 | 56956.8 |
333 | 2019-05-24 10:48:15 | rebate | 1 | 48755 | 9 | 1.826 | 26700.4 |
332 | 2019-05-19 23:54:42 | rebate | 1 | 48755 | 9 | 0.763 | 63899.1 |
331 | 2019-02-24 00:08:15 | rebate | 1 | 48755 | 9 | 0.783 | 62266.9 |
330 | 2019-02-17 07:15:45 | rebate | 1 | 48755 | 9 | 0.760 | 64151.3 |
329 | 2019-02-16 23:40:02 | rebate | 1 | 48755 | 9 | 0.770 | 63318.2 |