History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"dens"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1835 | 2026-01-01 18:39:13 | dens | 2 | 29872 | 511 | 0.766 | 38997.4 |
| 1834 | 2025-12-31 04:07:14 | dens | 1 | 13983 | 31 | 0.216 | 64736.1 |
| 1833 | 2025-12-30 13:41:31 | dens | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1832 | 2025-12-30 01:12:05 | dens | 1 | 13983 | 31 | 0.766 | 18254.6 |
| 1831 | 2025-12-28 01:37:59 | dens | 1 | 13983 | 31 | 0.236 | 59250.0 |
| 1830 | 2025-12-27 16:12:23 | dens | 2 | 29872 | 511 | 0.856 | 34897.2 |
| 1829 | 2025-12-26 04:28:52 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1828 | 2025-12-25 10:51:38 | dens | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1827 | 2025-12-24 08:29:59 | dens | 2 | 29872 | 511 | 0.906 | 32971.3 |
| 1826 | 2025-12-23 21:16:26 | dens | 2 | 29872 | 511 | 1.673 | 17855.3 |
| 1825 | 2025-12-22 08:33:19 | dens | 2 | 29872 | 511 | 2.486 | 12016.1 |
| 1824 | 2025-12-22 08:08:31 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1823 | 2025-12-21 04:31:53 | dens | 1 | 13983 | 31 | 0.296 | 47239.9 |
| 1822 | 2025-12-19 16:19:55 | dens | 1 | 13983 | 31 | 0.500 | 27966.0 |
| 1821 | 2025-12-19 11:10:08 | dens | 2 | 29872 | 511 | 0.923 | 32364.0 |
| 1820 | 2025-12-19 04:16:08 | dens | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1819 | 2025-12-18 04:29:04 | dens | 1 | 13983 | 31 | 0.280 | 49939.3 |
| 1818 | 2025-12-18 04:27:39 | dens | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1817 | 2025-12-14 14:01:04 | dens | 1 | 13983 | 31 | 0.516 | 27098.8 |
| 1816 | 2025-12-14 01:26:56 | dens | 2 | 29872 | 511 | 0.923 | 32364.0 |
| 1815 | 2025-12-13 22:28:20 | dens | 2 | 29872 | 511 | 3.843 | 7773.1 |
| 1814 | 2025-12-13 14:16:46 | dens | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1813 | 2025-12-13 11:36:14 | dens | 1 | 13983 | 31 | 1.160 | 12054.3 |
| 1812 | 2025-12-12 01:52:23 | dens | 2 | 29872 | 511 | 4.483 | 6663.4 |
| 1811 | 2025-12-10 13:14:14 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1810 | 2025-12-08 08:42:30 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1809 | 2025-12-08 07:23:15 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1808 | 2025-12-08 03:42:24 | dens | 1 | 13983 | 31 | 0.216 | 64736.1 |
| 1807 | 2025-12-07 15:14:49 | dens | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1806 | 2025-12-07 04:32:16 | dens | 1 | 13983 | 31 | 1.313 | 10649.7 |
| 1805 | 2025-12-07 04:32:12 | dens | 1 | 13983 | 31 | 1.000 | 13983.0 |
| 1804 | 2025-12-07 04:32:03 | dens | 1 | 13983 | 31 | 1.283 | 10898.7 |
| 1803 | 2025-12-07 04:31:55 | dens | 1 | 13983 | 31 | 0.716 | 19529.3 |
| 1802 | 2025-12-04 21:43:21 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1801 | 2025-12-03 13:33:13 | dens | 2 | 29872 | 511 | 0.906 | 32971.3 |
| 1800 | 2025-12-03 13:24:21 | dens | 2 | 29872 | 511 | 0.826 | 36164.6 |
| 1799 | 2025-12-03 13:16:38 | dens | 2 | 29872 | 511 | 0.860 | 34734.9 |
| 1798 | 2025-12-02 16:49:05 | dens | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1797 | 2025-12-02 08:53:26 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1796 | 2025-11-28 23:10:26 | dens | 1 | 13983 | 31 | 1.110 | 12597.3 |
| 1795 | 2025-11-28 14:45:43 | dens | 1 | 13983 | 31 | 0.280 | 49939.3 |
| 1794 | 2025-11-24 12:57:49 | dens | 1 | 13983 | 31 | 0.846 | 16528.4 |
| 1793 | 2025-11-24 02:09:08 | dens | 1 | 13983 | 31 | 0.216 | 64736.1 |
| 1792 | 2025-11-23 08:52:57 | dens | 1 | 13983 | 31 | 1.420 | 9847.2 |
| 1791 | 2025-11-22 18:39:24 | dens | 2 | 29872 | 511 | 0.906 | 32971.3 |
| 1790 | 2025-11-20 17:29:11 | dens | 2 | 29872 | 511 | 0.903 | 33080.8 |
| 1789 | 2025-11-20 14:15:34 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1788 | 2025-11-19 23:39:36 | dens | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1787 | 2025-11-18 22:01:26 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1786 | 2025-11-17 01:06:57 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1785 | 2025-11-16 22:23:40 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1784 | 2025-11-14 18:49:25 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1783 | 2025-11-12 20:26:13 | dens | 2 | 29872 | 511 | 0.810 | 36879.0 |
| 1782 | 2025-11-11 18:26:10 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1781 | 2025-11-10 18:28:56 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1780 | 2025-11-09 10:02:06 | dens | 1 | 13983 | 31 | 0.216 | 64736.1 |
| 1779 | 2025-11-07 08:51:04 | dens | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1778 | 2025-11-06 04:04:28 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1777 | 2025-11-05 18:16:09 | dens | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1776 | 2025-11-01 06:24:39 | dens | 2 | 29872 | 511 | 0.846 | 35309.7 |
| 1775 | 2025-10-29 00:26:05 | dens | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1774 | 2025-10-28 16:01:10 | dens | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1773 | 2025-10-25 16:58:01 | dens | 1 | 13983 | 31 | 0.656 | 21315.5 |
| 1772 | 2025-10-25 12:38:10 | dens | 1 | 13983 | 31 | 0.216 | 64736.1 |
| 1771 | 2025-10-24 09:44:39 | dens | 2 | 29872 | 511 | 0.890 | 33564.0 |
| 1770 | 2025-10-22 01:37:02 | dens | 1 | 13983 | 31 | 1.563 | 8946.3 |
| 1769 | 2025-10-19 12:52:00 | dens | 1 | 13983 | 31 | 1.826 | 7657.7 |
| 1768 | 2025-10-19 12:51:56 | dens | 1 | 13983 | 31 | 0.846 | 16528.4 |
| 1767 | 2025-10-19 12:51:51 | dens | 1 | 13983 | 31 | 0.703 | 19890.5 |
| 1766 | 2025-10-19 12:51:46 | dens | 1 | 13983 | 31 | 1.186 | 11790.1 |
| 1765 | 2025-10-18 23:51:59 | dens | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1764 | 2025-10-16 18:20:07 | dens | 1 | 13983 | 31 | 0.216 | 64736.1 |
| 1763 | 2025-10-15 23:28:42 | dens | 1 | 13983 | 31 | 0.236 | 59250.0 |
| 1762 | 2025-10-11 11:33:50 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1761 | 2025-10-11 04:52:43 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1760 | 2025-10-09 17:14:56 | dens | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1759 | 2025-10-06 18:42:27 | dens | 2 | 29872 | 511 | 0.860 | 34734.9 |
| 1758 | 2025-10-06 11:01:38 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1757 | 2025-10-06 05:05:20 | dens | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1756 | 2025-10-05 10:05:24 | dens | 1 | 13983 | 31 | 0.236 | 59250.0 |
| 1755 | 2025-10-04 16:49:57 | dens | 2 | 29872 | 511 | 1.830 | 16323.5 |
| 1754 | 2025-10-04 06:40:04 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1753 | 2025-09-30 17:02:38 | dens | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1752 | 2025-09-28 21:49:09 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1751 | 2025-09-28 00:10:25 | dens | 1 | 13983 | 31 | 0.283 | 49409.9 |
| 1750 | 2025-09-27 15:28:38 | dens | 1 | 13983 | 31 | 0.236 | 59250.0 |
| 1749 | 2025-09-24 12:40:20 | dens | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1748 | 2025-09-23 19:47:28 | dens | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1747 | 2025-09-19 15:31:09 | dens | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1746 | 2025-09-19 10:21:40 | dens | 2 | 29872 | 511 | 0.830 | 35990.4 |
| 1745 | 2025-09-18 23:07:06 | dens | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1744 | 2025-09-17 21:55:50 | dens | 1 | 13983 | 31 | 0.236 | 59250.0 |
| 1743 | 2025-09-16 00:31:17 | dens | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1742 | 2025-09-14 14:05:27 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1741 | 2025-09-13 17:51:21 | dens | 1 | 13983 | 31 | 0.236 | 59250.0 |
| 1740 | 2025-09-11 06:05:31 | dens | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1739 | 2025-09-09 20:23:02 | dens | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1738 | 2025-09-09 11:51:52 | dens | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1737 | 2025-09-09 00:01:01 | dens | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1736 | 2025-09-07 23:10:45 | dens | 1 | 13983 | 31 | 0.280 | 49939.3 |