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 |
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 |
1728 | 2025-03-31 02:13:36 | belts | 1 | 28756 | 19 | 2.326 | 12362.9 |
1727 | 2025-03-30 04:31:50 | belts | 2 | 53800 | 274 | 1.610 | 33416.1 |
1726 | 2025-03-29 03:28:34 | belts | 1 | 28756 | 19 | 2.873 | 10009.0 |
1725 | 2025-03-28 19:19:42 | belts | 1 | 28756 | 19 | 0.486 | 59168.7 |
1724 | 2025-03-27 03:37:33 | belts | 1 | 28756 | 19 | 0.986 | 29164.3 |
1723 | 2025-03-26 07:12:11 | belts | 1 | 28756 | 19 | 1.110 | 25906.3 |
1722 | 2025-03-22 11:15:40 | belts | 1 | 28756 | 19 | 0.470 | 61183.0 |
1721 | 2025-03-21 16:12:13 | belts | 1 | 28756 | 19 | 3.673 | 7829.0 |
1720 | 2025-03-21 04:53:50 | belts | 2 | 53800 | 274 | 7.000 | 7685.7 |
1719 | 2025-03-19 13:57:42 | belts | 1 | 28756 | 19 | 0.890 | 32310.1 |
1718 | 2025-03-14 11:37:53 | belts | 1 | 28756 | 19 | 0.436 | 65954.1 |
1717 | 2025-03-07 04:35:31 | belts | 1 | 28756 | 19 | 2.500 | 11502.4 |
1716 | 2025-02-27 23:49:27 | belts | 2 | 53800 | 274 | 6.076 | 8854.5 |
1715 | 2025-02-27 23:49:10 | belts | 1 | 28756 | 19 | 2.203 | 13053.1 |
1714 | 2025-02-26 16:30:02 | belts | 1 | 28756 | 19 | 2.983 | 9640.0 |
1713 | 2025-02-26 10:40:03 | belts | 2 | 53800 | 274 | 7.796 | 6901.0 |
1712 | 2025-02-26 10:29:06 | belts | 1 | 28756 | 19 | 0.936 | 30722.2 |
1711 | 2025-02-26 05:27:01 | belts | 1 | 28756 | 19 | 2.326 | 12362.9 |
1710 | 2025-02-23 18:57:00 | belts | 1 | 28756 | 19 | 2.450 | 11737.1 |
1709 | 2025-02-04 20:27:07 | belts | 1 | 28756 | 19 | 0.813 | 35370.2 |
1708 | 2025-02-03 12:13:13 | belts | 2 | 53800 | 274 | 5.500 | 9781.8 |
1707 | 2025-02-02 23:27:16 | belts | 2 | 53800 | 274 | 9.500 | 5663.2 |
1706 | 2025-01-27 00:21:40 | belts | 1 | 28756 | 19 | 1.906 | 15087.1 |
1705 | 2025-01-26 18:49:36 | belts | 2 | 53800 | 274 | 9.236 | 5825.0 |
1704 | 2025-01-26 17:28:10 | belts | 2 | 53800 | 274 | 1.703 | 31591.3 |
1703 | 2025-01-26 17:28:01 | belts | 1 | 28756 | 19 | 0.533 | 53951.2 |
1702 | 2025-01-24 17:11:35 | belts | 1 | 28756 | 19 | 1.780 | 16155.1 |
1701 | 2025-01-22 16:51:00 | belts | 1 | 28756 | 19 | 1.203 | 23903.6 |
1700 | 2025-01-15 03:30:21 | belts | 1 | 28756 | 19 | 1.000 | 28756.0 |
1699 | 2025-01-05 16:36:58 | belts | 1 | 28756 | 19 | 2.890 | 9950.2 |
1698 | 2024-12-27 15:26:12 | belts | 1 | 28756 | 19 | 1.906 | 15087.1 |
1697 | 2024-12-27 14:36:44 | belts | 1 | 28756 | 19 | 0.470 | 61183.0 |
1696 | 2024-12-25 08:49:17 | belts | 1 | 28756 | 19 | 2.186 | 13154.6 |
1695 | 2024-12-06 14:34:05 | belts | 1 | 28756 | 19 | 1.453 | 19790.8 |
1694 | 2024-11-30 15:38:06 | belts | 2 | 53800 | 274 | 7.876 | 6830.9 |
1693 | 2024-11-28 03:47:42 | belts | 2 | 53800 | 274 | 9.800 | 5489.8 |
1692 | 2024-11-27 22:55:25 | belts | 2 | 53800 | 274 | 10.766 | 4997.2 |
1691 | 2024-11-27 12:04:23 | belts | 2 | 53800 | 274 | 5.953 | 9037.5 |
1690 | 2024-11-27 12:03:06 | belts | 1 | 28756 | 19 | 2.313 | 12432.3 |
1689 | 2024-11-27 09:29:41 | belts | 1 | 28756 | 19 | 1.606 | 17905.4 |
1688 | 2024-11-25 07:36:53 | belts | 1 | 28756 | 19 | 1.720 | 16718.6 |
1687 | 2024-11-13 22:50:11 | belts | 1 | 28756 | 19 | 2.466 | 11661.0 |
1686 | 2024-11-06 09:07:46 | belts | 1 | 28756 | 19 | 1.313 | 21901.0 |
1685 | 2024-11-02 03:54:48 | belts | 2 | 53800 | 274 | 4.343 | 12387.8 |
1684 | 2024-10-29 01:09:35 | belts | 2 | 53800 | 274 | 7.860 | 6844.8 |
1683 | 2024-10-28 17:41:59 | belts | 2 | 53800 | 274 | 8.313 | 6471.8 |
1682 | 2024-10-28 12:18:47 | belts | 2 | 53800 | 274 | 12.110 | 4442.6 |
1681 | 2024-10-28 11:36:56 | belts | 1 | 28756 | 19 | 0.453 | 63479.0 |
1680 | 2024-10-28 00:44:54 | belts | 1 | 28756 | 19 | 2.703 | 10638.5 |