History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"belts"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1828 | 2026-01-26 19:50:51 | belts | 2 | 53800 | 274 | 1.690 | 31834.3 |
| 1827 | 2026-01-21 17:00:28 | belts | 1 | 28756 | 19 | 1.063 | 27051.7 |
| 1826 | 2026-01-20 04:18:28 | belts | 2 | 53800 | 274 | 1.643 | 32745.0 |
| 1825 | 2026-01-20 04:17:21 | belts | 2 | 53800 | 274 | 1.953 | 27547.4 |
| 1824 | 2026-01-20 04:13:39 | belts | 2 | 53800 | 274 | 1.783 | 30173.9 |
| 1823 | 2026-01-20 04:13:33 | belts | 2 | 53800 | 274 | 1.903 | 28271.2 |
| 1822 | 2026-01-20 04:12:11 | belts | 2 | 53800 | 274 | 1.703 | 31591.3 |
| 1821 | 2026-01-20 04:06:17 | belts | 2 | 53800 | 274 | 1.406 | 38264.6 |
| 1820 | 2026-01-20 03:54:17 | belts | 2 | 53800 | 274 | 1.766 | 30464.3 |
| 1819 | 2026-01-20 03:48:32 | belts | 2 | 53800 | 274 | 1.703 | 31591.3 |
| 1818 | 2026-01-20 03:41:39 | belts | 2 | 53800 | 274 | 1.440 | 37361.1 |
| 1817 | 2026-01-20 03:27:07 | belts | 2 | 53800 | 274 | 1.610 | 33416.1 |
| 1816 | 2026-01-18 21:05:29 | belts | 2 | 53800 | 274 | 1.453 | 37026.8 |
| 1815 | 2026-01-17 08:33:01 | belts | 2 | 53800 | 274 | 1.606 | 33499.4 |
| 1814 | 2026-01-16 07:53:55 | belts | 1 | 28756 | 19 | 1.453 | 19790.8 |
| 1813 | 2026-01-16 07:53:51 | belts | 1 | 28756 | 19 | 2.326 | 12362.9 |
| 1812 | 2026-01-07 20:39:40 | belts | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 1811 | 2025-12-29 03:52:01 | belts | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1810 | 2025-12-27 21:56:16 | belts | 1 | 28756 | 19 | 0.560 | 51350.0 |
| 1809 | 2025-12-19 18:02:28 | belts | 2 | 53800 | 274 | 1.546 | 34799.5 |
| 1808 | 2025-12-15 08:35:05 | belts | 1 | 28756 | 19 | 0.533 | 53951.2 |
| 1807 | 2025-12-13 23:05:27 | belts | 1 | 28756 | 19 | 0.970 | 29645.4 |
| 1806 | 2025-12-12 20:26:25 | belts | 2 | 53800 | 274 | 1.890 | 28465.6 |
| 1805 | 2025-11-25 06:14:52 | belts | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1804 | 2025-11-23 19:47:09 | belts | 1 | 28756 | 19 | 1.440 | 19969.4 |
| 1803 | 2025-11-22 13:02:36 | belts | 2 | 53800 | 274 | 1.700 | 31647.1 |
| 1802 | 2025-11-21 19:47:22 | belts | 2 | 53800 | 274 | 3.376 | 15936.0 |
| 1801 | 2025-11-20 16:45:49 | belts | 1 | 28756 | 19 | 0.580 | 49579.3 |
| 1800 | 2025-11-20 15:47:19 | belts | 1 | 28756 | 19 | 0.550 | 52283.6 |
| 1799 | 2025-11-20 00:33:35 | belts | 1 | 28756 | 19 | 0.450 | 63902.2 |
| 1798 | 2025-11-19 20:44:31 | belts | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1797 | 2025-11-15 20:11:01 | belts | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1796 | 2025-10-14 15:32:55 | belts | 2 | 53800 | 274 | 2.423 | 22203.9 |
| 1795 | 2025-10-06 19:58:26 | belts | 1 | 28756 | 19 | 0.533 | 53951.2 |
| 1794 | 2025-09-25 02:41:49 | belts | 1 | 28756 | 19 | 0.533 | 53951.2 |
| 1793 | 2025-09-17 23:08:11 | belts | 2 | 53800 | 274 | 1.406 | 38264.6 |
| 1792 | 2025-09-14 10:21:50 | belts | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 1791 | 2025-09-01 15:48:37 | belts | 1 | 28756 | 19 | 0.533 | 53951.2 |
| 1790 | 2025-08-27 05:29:16 | belts | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1789 | 2025-08-10 15:44:40 | belts | 1 | 28756 | 19 | 1.093 | 26309.2 |
| 1788 | 2025-08-03 09:58:40 | belts | 2 | 53800 | 274 | 5.280 | 10189.4 |
| 1787 | 2025-08-01 21:25:59 | belts | 2 | 53800 | 274 | 10.830 | 4967.7 |
| 1786 | 2025-08-01 20:05:57 | belts | 1 | 28756 | 19 | 0.920 | 31256.5 |
| 1785 | 2025-08-01 04:17:15 | belts | 1 | 28756 | 19 | 2.296 | 12524.4 |
| 1784 | 2025-07-31 03:33:19 | belts | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 1783 | 2025-07-30 21:59:47 | belts | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1782 | 2025-07-27 07:11:02 | belts | 1 | 28756 | 19 | 2.610 | 11017.6 |
| 1781 | 2025-07-23 18:15:06 | belts | 1 | 28756 | 19 | 2.936 | 9794.3 |
| 1780 | 2025-07-23 03:32:38 | belts | 1 | 28756 | 19 | 3.030 | 9490.4 |
| 1779 | 2025-07-20 13:20:43 | belts | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 1778 | 2025-07-19 21:25:41 | belts | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1777 | 2025-07-12 21:58:09 | belts | 1 | 28756 | 19 | 0.560 | 51350.0 |
| 1776 | 2025-07-07 14:37:01 | belts | 1 | 28756 | 19 | 2.376 | 12102.7 |
| 1775 | 2025-07-04 13:57:07 | belts | 1 | 28756 | 19 | 2.763 | 10407.5 |
| 1774 | 2025-07-02 03:07:58 | belts | 1 | 28756 | 19 | 3.483 | 8256.1 |
| 1773 | 2025-07-01 16:01:11 | belts | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1772 | 2025-07-01 02:32:32 | belts | 2 | 53800 | 274 | 1.436 | 37465.2 |
| 1771 | 2025-06-29 18:23:26 | belts | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1770 | 2025-06-29 00:08:50 | belts | 1 | 28756 | 19 | 3.076 | 9348.5 |
| 1769 | 2025-06-26 06:44:29 | belts | 1 | 28756 | 19 | 0.953 | 30174.2 |
| 1768 | 2025-06-26 00:05:41 | belts | 1 | 28756 | 19 | 1.626 | 17685.1 |
| 1767 | 2025-06-22 12:44:15 | belts | 1 | 28756 | 19 | 2.890 | 9950.2 |
| 1766 | 2025-06-21 09:16:52 | belts | 1 | 28756 | 19 | 0.470 | 61183.0 |
| 1765 | 2025-06-19 12:05:52 | belts | 1 | 28756 | 19 | 2.623 | 10963.0 |
| 1764 | 2025-06-14 06:18:09 | belts | 2 | 53800 | 274 | 7.923 | 6790.4 |
| 1763 | 2025-06-13 08:34:32 | belts | 1 | 28756 | 19 | 0.470 | 61183.0 |
| 1762 | 2025-06-12 13:45:30 | belts | 2 | 53800 | 274 | 11.250 | 4782.2 |
| 1761 | 2025-06-10 20:29:07 | belts | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1760 | 2025-06-06 14:08:31 | belts | 1 | 28756 | 19 | 2.016 | 14263.9 |
| 1759 | 2025-06-03 01:12:25 | belts | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1758 | 2025-06-02 02:00:26 | belts | 1 | 28756 | 19 | 1.390 | 20687.8 |
| 1757 | 2025-06-01 14:30:59 | belts | 1 | 28756 | 19 | 2.296 | 12524.4 |
| 1756 | 2025-06-01 07:47:43 | belts | 1 | 28756 | 19 | 0.483 | 59536.2 |
| 1755 | 2025-05-30 08:15:24 | belts | 1 | 28756 | 19 | 2.313 | 12432.3 |
| 1754 | 2025-05-29 17:18:55 | belts | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 1753 | 2025-05-28 06:24:39 | belts | 1 | 28756 | 19 | 1.313 | 21901.0 |
| 1752 | 2025-05-19 12:01:25 | belts | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 1751 | 2025-05-16 21:52:54 | belts | 2 | 53800 | 274 | 3.766 | 14285.7 |
| 1750 | 2025-05-15 10:46:38 | belts | 2 | 53800 | 274 | 1.690 | 31834.3 |
| 1749 | 2025-05-13 00:35:30 | belts | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1748 | 2025-05-06 14:32:39 | belts | 1 | 28756 | 19 | 1.423 | 20208.0 |
| 1747 | 2025-05-03 14:28:02 | belts | 1 | 28756 | 19 | 0.483 | 59536.2 |
| 1746 | 2025-05-02 22:51:10 | belts | 1 | 28756 | 19 | 1.986 | 14479.4 |
| 1745 | 2025-05-02 04:04:37 | belts | 2 | 53800 | 274 | 4.250 | 12658.8 |
| 1744 | 2025-05-02 02:17:08 | belts | 2 | 53800 | 274 | 6.173 | 8715.4 |
| 1743 | 2025-05-02 02:06:47 | belts | 1 | 28756 | 19 | 1.393 | 20643.2 |
| 1742 | 2025-05-01 14:52:23 | belts | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 1741 | 2025-04-28 17:26:01 | belts | 1 | 28756 | 19 | 1.153 | 24940.2 |
| 1740 | 2025-04-27 14:30:55 | belts | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 1739 | 2025-04-27 06:48:32 | belts | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1738 | 2025-04-27 06:35:37 | belts | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1737 | 2025-04-26 06:56:14 | belts | 1 | 28756 | 19 | 2.373 | 12118.0 |
| 1736 | 2025-04-26 04:49:35 | belts | 2 | 53800 | 274 | 9.703 | 5544.7 |
| 1735 | 2025-04-25 22:35:07 | belts | 2 | 53800 | 274 | 3.983 | 13507.4 |
| 1734 | 2025-04-25 01:28:07 | belts | 2 | 53800 | 274 | 4.563 | 11790.5 |
| 1733 | 2025-04-19 11:25:27 | belts | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1732 | 2025-04-14 20:43:08 | belts | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 1731 | 2025-04-09 05:41:18 | belts | 2 | 53800 | 274 | 4.283 | 12561.3 |
| 1730 | 2025-04-06 13:44:19 | belts | 1 | 28756 | 19 | 2.016 | 14263.9 |
| 1729 | 2025-03-31 16:33:32 | belts | 1 | 28756 | 19 | 1.153 | 24940.2 |