History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"nanometres"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
456 | 2024-04-25 07:08:49 | nanometres | 3 | 140603 | 18 | 30.800 | 4565.0 |
455 | 2024-04-25 07:08:48 | nanometres | 2 | 108824 | 6 | 13.766 | 7905.3 |
454 | 2024-04-25 06:12:15 | nanometres | 1 | 67641 | 3 | 1.140 | 59334.2 |
453 | 2024-04-19 02:30:58 | nanometres | 3 | 140603 | 18 | 5.546 | 25352.1 |
452 | 2024-04-17 23:07:27 | nanometres | 3 | 140603 | 18 | 15.203 | 9248.4 |
451 | 2024-04-17 23:06:59 | nanometres | 2 | 108824 | 6 | 9.826 | 11075.1 |
450 | 2024-04-17 23:06:13 | nanometres | 4 | 161450 | 154 | 29.956 | 5389.6 |
449 | 2024-04-17 23:03:28 | nanometres | 1 | 67641 | 3 | 3.830 | 17660.8 |
448 | 2024-04-17 14:47:29 | nanometres | 3 | 140603 | 18 | 18.766 | 7492.4 |
447 | 2024-04-17 14:47:26 | nanometres | 2 | 108824 | 6 | 9.063 | 12007.5 |
446 | 2024-04-17 13:53:52 | nanometres | 1 | 67641 | 3 | 1.173 | 57665.0 |
445 | 2024-04-05 16:00:13 | nanometres | 4 | 161450 | 154 | 41.096 | 3928.6 |
444 | 2024-04-05 16:00:06 | nanometres | 3 | 140603 | 18 | 22.816 | 6162.5 |
443 | 2024-04-05 16:00:05 | nanometres | 2 | 108824 | 6 | 7.250 | 15010.2 |
442 | 2024-04-05 15:35:30 | nanometres | 1 | 67641 | 3 | 1.300 | 52031.5 |
441 | 2024-03-30 22:15:04 | nanometres | 1 | 67641 | 3 | 2.313 | 29243.8 |
440 | 2024-03-21 18:57:00 | nanometres | 4 | 161450 | 154 | 22.313 | 7235.7 |
439 | 2024-03-21 18:56:56 | nanometres | 3 | 140603 | 18 | 11.906 | 11809.4 |
438 | 2024-03-21 18:56:58 | nanometres | 2 | 108824 | 6 | 4.063 | 26784.1 |
437 | 2024-03-21 18:37:44 | nanometres | 1 | 67641 | 3 | 1.186 | 57032.9 |
436 | 2024-03-18 20:59:38 | nanometres | 1 | 67641 | 3 | 1.140 | 59334.2 |
435 | 2024-03-15 12:36:06 | nanometres | 4 | 161450 | 154 | 39.173 | 4121.5 |
434 | 2024-03-15 12:36:13 | nanometres | 3 | 140603 | 18 | 23.470 | 5990.8 |
433 | 2024-03-15 12:36:08 | nanometres | 2 | 108824 | 6 | 10.906 | 9978.4 |
432 | 2024-03-15 12:31:37 | nanometres | 1 | 67641 | 3 | 1.190 | 56841.2 |
431 | 2024-03-12 07:41:13 | nanometres | 1 | 67641 | 3 | 1.530 | 44209.8 |
430 | 2024-03-05 23:00:58 | nanometres | 3 | 140603 | 18 | 13.953 | 10076.9 |
429 | 2024-03-05 23:00:54 | nanometres | 2 | 108824 | 6 | 8.093 | 13446.7 |
428 | 2024-03-05 22:58:23 | nanometres | 1 | 67641 | 3 | 2.360 | 28661.4 |
427 | 2024-02-29 01:38:02 | nanometres | 1 | 67641 | 3 | 1.186 | 57032.9 |
426 | 2024-02-21 12:35:53 | nanometres | 4 | 161450 | 154 | 14.440 | 11180.7 |
425 | 2024-02-19 07:48:48 | nanometres | 4 | 161450 | 154 | 25.673 | 6288.7 |
424 | 2024-02-17 19:06:15 | nanometres | 4 | 161450 | 154 | 12.890 | 12525.2 |
423 | 2024-02-17 02:56:55 | nanometres | 3 | 140603 | 18 | 27.406 | 5130.4 |
422 | 2024-02-17 02:56:54 | nanometres | 4 | 161450 | 154 | 26.673 | 6052.9 |
421 | 2024-02-17 02:56:55 | nanometres | 2 | 108824 | 6 | 3.673 | 29628.1 |
420 | 2024-02-16 23:52:10 | nanometres | 1 | 67641 | 3 | 2.423 | 27916.2 |
419 | 2024-02-08 14:20:11 | nanometres | 1 | 67641 | 3 | 2.623 | 25787.6 |
418 | 2024-02-02 04:42:31 | nanometres | 1 | 67641 | 3 | 1.013 | 66773.0 |
417 | 2024-01-30 01:02:59 | nanometres | 1 | 67641 | 3 | 1.190 | 56841.2 |
416 | 2024-01-30 01:02:55 | nanometres | 1 | 67641 | 3 | 1.156 | 58513.0 |
415 | 2024-01-29 06:06:03 | nanometres | 1 | 67641 | 3 | 1.033 | 65480.2 |
414 | 2024-01-08 08:38:42 | nanometres | 4 | 161450 | 154 | 10.860 | 14866.5 |
413 | 2023-12-11 23:42:20 | nanometres | 3 | 140603 | 18 | 6.126 | 22951.8 |
412 | 2023-12-08 09:32:18 | nanometres | 1 | 67641 | 3 | 2.313 | 29243.8 |
411 | 2023-12-08 02:01:48 | nanometres | 4 | 161450 | 154 | 14.110 | 11442.2 |
410 | 2023-12-02 17:24:51 | nanometres | 3 | 140603 | 18 | 6.076 | 23140.7 |
409 | 2023-12-02 17:24:47 | nanometres | 2 | 108824 | 6 | 2.640 | 41221.2 |
408 | 2023-12-01 02:37:24 | nanometres | 4 | 161450 | 154 | 14.236 | 11341.0 |
407 | 2023-11-22 09:45:58 | nanometres | 1 | 67641 | 3 | 1.016 | 66575.8 |
406 | 2023-11-17 01:42:44 | nanometres | 1 | 67641 | 3 | 1.186 | 57032.9 |
405 | 2023-11-14 02:40:50 | nanometres | 1 | 67641 | 3 | 1.140 | 59334.2 |
404 | 2023-11-10 05:02:47 | nanometres | 1 | 67641 | 3 | 1.076 | 62863.4 |
403 | 2023-10-26 19:28:10 | nanometres | 4 | 161450 | 154 | 39.626 | 4074.3 |
402 | 2023-10-20 13:52:34 | nanometres | 4 | 161450 | 154 | 14.266 | 11317.1 |
401 | 2023-10-17 11:15:10 | nanometres | 4 | 161450 | 154 | 15.673 | 10301.2 |
400 | 2023-10-16 12:06:55 | nanometres | 4 | 161450 | 154 | 10.593 | 15241.2 |
399 | 2023-10-11 10:51:39 | nanometres | 1 | 67641 | 3 | 1.110 | 60937.8 |
398 | 2023-10-11 10:34:17 | nanometres | 4 | 161450 | 154 | 24.080 | 6704.7 |
397 | 2023-10-04 02:04:53 | nanometres | 4 | 161450 | 154 | 42.676 | 3783.2 |
396 | 2023-09-25 20:17:06 | nanometres | 4 | 161450 | 154 | 10.110 | 15969.3 |
395 | 2023-09-24 08:06:43 | nanometres | 3 | 140603 | 18 | 5.813 | 24187.7 |
394 | 2023-09-24 08:06:38 | nanometres | 2 | 108824 | 6 | 2.813 | 38686.1 |
393 | 2023-09-23 06:21:04 | nanometres | 4 | 161450 | 154 | 22.080 | 7312.0 |
392 | 2023-09-19 10:50:55 | nanometres | 1 | 67641 | 3 | 1.063 | 63632.2 |
391 | 2023-09-14 14:14:18 | nanometres | 4 | 161450 | 154 | 13.156 | 12272.0 |
390 | 2023-09-12 01:15:58 | nanometres | 4 | 161450 | 154 | 14.453 | 11170.7 |
389 | 2023-09-11 16:37:33 | nanometres | 3 | 140603 | 18 | 5.500 | 25564.2 |
388 | 2023-09-11 03:02:40 | nanometres | 1 | 67641 | 3 | 1.093 | 61885.6 |
387 | 2023-09-09 02:52:17 | nanometres | 1 | 67641 | 3 | 1.013 | 66773.0 |
386 | 2023-07-28 03:53:55 | nanometres | 4 | 161450 | 154 | 10.940 | 14757.8 |
385 | 2023-07-19 11:06:06 | nanometres | 1 | 67641 | 3 | 1.000 | 67641.0 |
384 | 2023-06-12 12:32:28 | nanometres | 1 | 67641 | 3 | 1.016 | 66575.8 |
383 | 2023-06-05 10:23:41 | nanometres | 3 | 140603 | 18 | 5.376 | 26153.8 |
382 | 2023-04-28 11:38:54 | nanometres | 4 | 161450 | 154 | 9.483 | 17025.2 |
381 | 2023-04-24 19:20:09 | nanometres | 4 | 161450 | 154 | 10.390 | 15539.0 |
380 | 2023-04-10 09:05:56 | nanometres | 4 | 161450 | 154 | 14.030 | 11507.5 |
379 | 2023-04-09 23:06:21 | nanometres | 4 | 161450 | 154 | 9.390 | 17193.8 |
378 | 2023-03-29 11:23:35 | nanometres | 1 | 67641 | 3 | 1.140 | 59334.2 |
377 | 2023-03-24 04:04:59 | nanometres | 1 | 67641 | 3 | 1.093 | 61885.6 |
376 | 2023-03-10 12:03:53 | nanometres | 3 | 140603 | 18 | 5.406 | 26008.7 |
375 | 2023-02-24 06:17:00 | nanometres | 4 | 161450 | 154 | 10.673 | 15127.0 |
374 | 2023-01-18 20:27:12 | nanometres | 4 | 161450 | 154 | 9.470 | 17048.6 |
373 | 2023-01-12 04:19:45 | nanometres | 1 | 67641 | 3 | 1.000 | 67641.0 |
372 | 2022-12-15 18:39:57 | nanometres | 3 | 140603 | 18 | 6.190 | 22714.5 |
371 | 2022-12-11 07:30:29 | nanometres | 4 | 161450 | 154 | 11.250 | 14351.1 |
370 | 2022-12-08 00:34:23 | nanometres | 4 | 161450 | 154 | 9.766 | 16531.8 |
369 | 2022-12-02 17:37:38 | nanometres | 1 | 67641 | 3 | 0.983 | 68810.8 |
368 | 2022-11-29 10:48:58 | nanometres | 1 | 67641 | 3 | 1.093 | 61885.6 |
367 | 2022-10-29 06:02:49 | nanometres | 4 | 161450 | 154 | 9.376 | 17219.5 |
366 | 2022-10-18 07:14:39 | nanometres | 1 | 67641 | 3 | 0.986 | 68601.4 |
365 | 2022-09-27 12:56:36 | nanometres | 4 | 161450 | 154 | 9.706 | 16634.0 |
364 | 2022-08-17 05:10:29 | nanometres | 4 | 161450 | 154 | 9.873 | 16352.7 |
363 | 2022-08-09 17:54:18 | nanometres | 3 | 140603 | 18 | 5.673 | 24784.6 |
362 | 2022-07-30 00:00:06 | nanometres | 1 | 67641 | 3 | 1.016 | 66575.8 |
361 | 2022-07-13 22:23:30 | nanometres | 4 | 161450 | 154 | 9.610 | 16800.2 |
360 | 2022-07-02 12:00:20 | nanometres | 1 | 67641 | 3 | 1.033 | 65480.2 |
359 | 2022-06-09 21:49:45 | nanometres | 1 | 67641 | 3 | 1.123 | 60232.4 |
358 | 2022-05-25 22:35:16 | nanometres | 1 | 67641 | 3 | 1.016 | 66575.8 |
357 | 2022-05-21 02:52:15 | nanometres | 4 | 161450 | 154 | 11.250 | 14351.1 |