History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"muras"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
2828 | 2025-10-12 10:59:35 | muras | 1 | 28756 | 15 | 0.500 | 57512.0 |
2827 | 2025-10-05 11:28:32 | muras | 1 | 28756 | 15 | 0.500 | 57512.0 |
2826 | 2025-09-29 02:47:54 | muras | 2 | 53800 | 219 | 1.783 | 30173.9 |
2825 | 2025-09-20 18:55:00 | muras | 2 | 53800 | 219 | 2.876 | 18706.5 |
2824 | 2025-09-19 19:52:09 | muras | 2 | 53800 | 219 | 1.716 | 31352.0 |
2823 | 2025-09-13 07:35:17 | muras | 1 | 28756 | 15 | 0.576 | 49923.6 |
2822 | 2025-09-04 15:49:02 | muras | 1 | 28756 | 15 | 0.483 | 59536.2 |
2821 | 2025-09-03 09:18:28 | muras | 1 | 28756 | 15 | 0.533 | 53951.2 |
2820 | 2025-08-31 09:05:30 | muras | 1 | 28756 | 15 | 1.500 | 19170.7 |
2819 | 2025-08-31 09:05:30 | muras | 1 | 28756 | 15 | 1.546 | 18600.3 |
2818 | 2025-08-31 09:05:30 | muras | 1 | 28756 | 15 | 1.033 | 27837.4 |
2817 | 2025-08-31 09:05:30 | muras | 1 | 28756 | 15 | 0.513 | 56054.6 |
2816 | 2025-08-31 09:05:30 | muras | 1 | 28756 | 15 | 0.940 | 30591.5 |
2815 | 2025-08-31 09:05:30 | muras | 1 | 28756 | 15 | 1.063 | 27051.7 |
2814 | 2025-08-31 09:05:30 | muras | 1 | 28756 | 15 | 0.940 | 30591.5 |
2813 | 2025-08-31 09:05:29 | muras | 1 | 28756 | 15 | 1.376 | 20898.3 |
2812 | 2025-08-31 09:05:29 | muras | 1 | 28756 | 15 | 1.360 | 21144.1 |
2811 | 2025-08-31 09:05:29 | muras | 1 | 28756 | 15 | 1.390 | 20687.8 |
2810 | 2025-08-31 09:05:29 | muras | 1 | 28756 | 15 | 1.106 | 26000.0 |
2809 | 2025-08-31 09:05:29 | muras | 1 | 28756 | 15 | 1.140 | 25224.6 |
2808 | 2025-08-31 09:05:29 | muras | 1 | 28756 | 15 | 1.140 | 25224.6 |
2807 | 2025-08-31 09:05:29 | muras | 1 | 28756 | 15 | 0.546 | 52666.7 |
2806 | 2025-08-31 09:05:29 | muras | 1 | 28756 | 15 | 0.546 | 52666.7 |
2805 | 2025-08-31 09:05:29 | muras | 1 | 28756 | 15 | 0.543 | 52957.6 |
2804 | 2025-08-31 09:05:29 | muras | 1 | 28756 | 15 | 0.546 | 52666.7 |
2803 | 2025-08-31 09:05:28 | muras | 1 | 28756 | 15 | 0.516 | 55728.7 |
2802 | 2025-08-31 09:05:27 | muras | 1 | 28756 | 15 | 0.516 | 55728.7 |
2801 | 2025-08-31 09:05:24 | muras | 1 | 28756 | 15 | 0.513 | 56054.6 |
2799 | 2025-08-31 09:05:27 | muras | 1 | 28756 | 15 | 0.516 | 55728.7 |
2796 | 2025-08-31 09:05:12 | muras | 1 | 28756 | 15 | 2.560 | 11232.8 |
2781 | 2025-08-31 09:05:12 | muras | 1 | 28756 | 15 | 2.330 | 12341.6 |
2780 | 2025-08-31 09:05:26 | muras | 1 | 28756 | 15 | 0.500 | 57512.0 |
2774 | 2025-08-31 09:05:24 | muras | 1 | 28756 | 15 | 0.516 | 55728.7 |
2760 | 2025-08-31 09:05:14 | muras | 1 | 28756 | 15 | 0.500 | 57512.0 |
2758 | 2025-08-31 09:05:19 | muras | 1 | 28756 | 15 | 0.500 | 57512.0 |
2740 | 2025-08-31 09:05:10 | muras | 1 | 28756 | 15 | 3.266 | 8804.7 |
2739 | 2025-08-31 09:05:10 | muras | 1 | 28756 | 15 | 2.856 | 10068.6 |
2738 | 2025-08-31 09:05:10 | muras | 1 | 28756 | 15 | 2.920 | 9847.9 |
2737 | 2025-08-31 09:05:10 | muras | 1 | 28756 | 15 | 2.940 | 9781.0 |
2736 | 2025-08-31 09:05:08 | muras | 1 | 28756 | 15 | 3.126 | 9199.0 |
2735 | 2025-08-31 09:05:07 | muras | 1 | 28756 | 15 | 3.250 | 8848.0 |
2734 | 2025-08-31 09:05:08 | muras | 1 | 28756 | 15 | 2.420 | 11882.6 |
2733 | 2025-08-31 09:05:09 | muras | 1 | 28756 | 15 | 1.250 | 23004.8 |
2732 | 2025-08-31 09:05:08 | muras | 1 | 28756 | 15 | 2.436 | 11804.6 |
2731 | 2025-08-31 09:05:08 | muras | 1 | 28756 | 15 | 2.360 | 12184.7 |
2730 | 2025-08-31 09:05:07 | muras | 1 | 28756 | 15 | 3.016 | 9534.5 |
2729 | 2025-08-31 09:05:08 | muras | 1 | 28756 | 15 | 2.420 | 11882.6 |