History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "bads"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
		| 1709 | 2025-10-27 08:11:00 | bads | 1 | 13983 | 36 | 0.266 | 52567.7 | 
		| 1708 | 2025-10-27 02:23:10 | bads | 1 | 13983 | 36 | 0.233 | 60012.9 | 
		| 1707 | 2025-10-19 23:04:08 | bads | 2 | 29872 | 547 | 0.953 | 31345.2 | 
		| 1706 | 2025-10-19 21:30:46 | bads | 2 | 29872 | 547 | 2.420 | 12343.8 | 
		| 1705 | 2025-10-19 10:29:52 | bads | 1 | 13983 | 36 | 1.186 | 11790.1 | 
		| 1704 | 2025-10-19 10:29:49 | bads | 1 | 13983 | 36 | 0.610 | 22923.0 | 
		| 1703 | 2025-10-19 10:29:44 | bads | 1 | 13983 | 36 | 0.906 | 15433.8 | 
		| 1702 | 2025-10-19 10:29:37 | bads | 1 | 13983 | 36 | 0.720 | 19420.8 | 
		| 1701 | 2025-10-17 16:22:21 | bads | 1 | 13983 | 36 | 0.266 | 52567.7 | 
		| 1700 | 2025-10-16 21:36:51 | bads | 1 | 13983 | 36 | 0.250 | 55932.0 | 
		| 1699 | 2025-10-15 07:56:49 | bads | 1 | 13983 | 36 | 0.220 | 63559.1 | 
		| 1698 | 2025-10-05 20:28:54 | bads | 1 | 13983 | 36 | 0.296 | 47239.9 | 
		| 1697 | 2025-09-28 23:07:28 | bads | 1 | 13983 | 36 | 0.233 | 60012.9 | 
		| 1696 | 2025-09-27 18:05:18 | bads | 1 | 13983 | 36 | 0.236 | 59250.0 | 
		| 1695 | 2025-09-24 22:37:42 | bads | 2 | 29872 | 547 | 16.096 | 1855.9 | 
		| 1694 | 2025-09-24 22:25:37 | bads | 1 | 13983 | 36 | 0.783 | 17858.2 | 
		| 1693 | 2025-09-14 02:09:33 | bads | 1 | 13983 | 36 | 0.250 | 55932.0 | 
		| 1692 | 2025-09-11 10:11:30 | bads | 1 | 13983 | 36 | 0.250 | 55932.0 | 
		| 1691 | 2025-09-01 03:10:42 | bads | 1 | 13983 | 36 | 0.250 | 55932.0 | 
		| 1690 | 2025-09-01 02:25:44 | bads | 1 | 13983 | 36 | 0.266 | 52567.7 | 
		| 1689 | 2025-08-31 11:27:44 | bads | 1 | 13983 | 36 | 0.250 | 55932.0 | 
		| 1688 | 2025-08-27 04:55:55 | bads | 1 | 13983 | 36 | 0.266 | 52567.7 | 
		| 1687 | 2025-08-27 00:16:42 | bads | 1 | 13983 | 36 | 0.250 | 55932.0 | 
		| 1686 | 2025-08-24 00:48:26 | bads | 1 | 13983 | 36 | 1.720 | 8129.7 | 
		| 1685 | 2025-08-09 14:04:27 | bads | 1 | 13983 | 36 | 0.356 | 39278.1 | 
		| 1684 | 2025-08-01 14:10:57 | bads | 1 | 13983 | 36 | 0.983 | 14224.8 | 
		| 1683 | 2025-07-27 05:57:47 | bads | 1 | 13983 | 36 | 0.686 | 20383.4 | 
		| 1682 | 2025-07-27 05:27:23 | bads | 1 | 13983 | 36 | 1.126 | 12418.3 | 
		| 1681 | 2025-07-27 01:33:52 | bads | 1 | 13983 | 36 | 1.330 | 10513.5 | 
		| 1680 | 2025-07-17 18:15:36 | bads | 2 | 29872 | 547 | 5.893 | 5069.1 | 
		| 1679 | 2025-07-14 21:48:21 | bads | 2 | 29872 | 547 | 5.033 | 5935.2 | 
		| 1678 | 2025-07-13 12:32:07 | bads | 1 | 13983 | 36 | 0.796 | 17566.6 | 
		| 1677 | 2025-07-07 12:46:27 | bads | 1 | 13983 | 36 | 1.860 | 7517.7 | 
		| 1676 | 2025-07-02 17:47:16 | bads | 1 | 13983 | 36 | 0.466 | 30006.4 | 
		| 1675 | 2025-07-01 12:35:52 | bads | 1 | 13983 | 36 | 0.220 | 63559.1 | 
		| 1674 | 2025-06-30 08:25:26 | bads | 2 | 29872 | 547 | 4.313 | 6926.0 | 
		| 1673 | 2025-06-29 13:38:40 | bads | 1 | 13983 | 36 | 1.093 | 12793.2 | 
		| 1672 | 2025-06-28 23:36:55 | bads | 1 | 13983 | 36 | 0.250 | 55932.0 | 
		| 1671 | 2025-06-21 02:53:01 | bads | 1 | 13983 | 36 | 1.280 | 10924.2 | 
		| 1670 | 2025-06-16 14:41:54 | bads | 1 | 13983 | 36 | 1.170 | 11951.3 | 
		| 1669 | 2025-06-12 12:12:19 | bads | 1 | 13983 | 36 | 0.656 | 21315.5 | 
		| 1668 | 2025-06-11 14:53:30 | bads | 1 | 13983 | 36 | 0.266 | 52567.7 | 
		| 1667 | 2025-06-08 04:27:45 | bads | 2 | 29872 | 547 | 4.906 | 6088.9 | 
		| 1666 | 2025-06-07 11:55:39 | bads | 1 | 13983 | 36 | 0.266 | 52567.7 | 
		| 1665 | 2025-06-03 21:43:23 | bads | 2 | 29872 | 547 | 4.376 | 6826.3 | 
		| 1664 | 2025-06-03 18:22:04 | bads | 1 | 13983 | 36 | 0.220 | 63559.1 | 
		| 1663 | 2025-06-03 05:40:49 | bads | 2 | 29872 | 547 | 0.873 | 34217.6 | 
		| 1662 | 2025-06-02 16:18:01 | bads | 1 | 13983 | 36 | 1.843 | 7587.1 | 
		| 1661 | 2025-06-01 19:42:54 | bads | 2 | 29872 | 547 | 2.170 | 13765.9 | 
		| 1660 | 2025-06-01 11:34:00 | bads | 1 | 13983 | 36 | 0.266 | 52567.7 | 
		| 1659 | 2025-05-31 06:04:24 | bads | 1 | 13983 | 36 | 1.063 | 13154.3 | 
		| 1658 | 2025-05-29 13:47:00 | bads | 1 | 13983 | 36 | 0.766 | 18254.6 | 
		| 1657 | 2025-05-28 20:48:16 | bads | 1 | 13983 | 36 | 0.783 | 17858.2 | 
		| 1656 | 2025-05-28 16:26:46 | bads | 1 | 13983 | 36 | 0.233 | 60012.9 | 
		| 1655 | 2025-05-26 01:10:54 | bads | 1 | 13983 | 36 | 1.593 | 8777.8 | 
		| 1654 | 2025-05-17 15:45:57 | bads | 1 | 13983 | 36 | 0.250 | 55932.0 | 
		| 1653 | 2025-05-17 03:31:23 | bads | 1 | 13983 | 36 | 0.686 | 20383.4 | 
		| 1652 | 2025-05-09 11:02:06 | bads | 1 | 13983 | 36 | 0.250 | 55932.0 | 
		| 1651 | 2025-05-08 05:28:41 | bads | 1 | 13983 | 36 | 1.780 | 7855.6 | 
		| 1650 | 2025-05-08 04:27:06 | bads | 1 | 13983 | 36 | 0.813 | 17199.3 | 
		| 1649 | 2025-05-08 04:12:07 | bads | 2 | 29872 | 547 | 4.123 | 7245.2 | 
		| 1648 | 2025-05-07 12:04:43 | bads | 1 | 13983 | 36 | 0.233 | 60012.9 | 
		| 1647 | 2025-05-03 19:44:06 | bads | 1 | 13983 | 36 | 1.360 | 10281.6 | 
		| 1646 | 2025-05-03 15:22:38 | bads | 1 | 13983 | 36 | 0.250 | 55932.0 | 
		| 1645 | 2025-05-02 21:20:08 | bads | 2 | 29872 | 547 | 2.190 | 13640.2 | 
		| 1644 | 2025-05-01 12:12:20 | bads | 1 | 13983 | 36 | 0.266 | 52567.7 | 
		| 1643 | 2025-04-30 19:47:14 | bads | 2 | 29872 | 547 | 0.843 | 35435.3 | 
		| 1642 | 2025-04-30 17:07:01 | bads | 1 | 13983 | 36 | 1.406 | 9945.2 | 
		| 1641 | 2025-04-30 05:53:16 | bads | 2 | 29872 | 547 | 2.186 | 13665.1 | 
		| 1640 | 2025-04-29 19:31:34 | bads | 2 | 29872 | 547 | 4.283 | 6974.6 | 
		| 1639 | 2025-04-28 09:22:41 | bads | 2 | 29872 | 547 | 3.156 | 9465.1 | 
		| 1638 | 2025-04-25 00:17:50 | bads | 1 | 13983 | 36 | 0.283 | 49409.9 | 
		| 1637 | 2025-04-16 19:41:57 | bads | 1 | 13983 | 36 | 0.220 | 63559.1 | 
		| 1636 | 2025-04-16 14:43:14 | bads | 1 | 13983 | 36 | 1.140 | 12265.8 | 
		| 1635 | 2025-04-14 14:58:32 | bads | 1 | 13983 | 36 | 1.780 | 7855.6 | 
		| 1634 | 2025-04-11 09:26:50 | bads | 2 | 29872 | 547 | 5.750 | 5195.1 | 
		| 1633 | 2025-04-08 02:06:39 | bads | 1 | 13983 | 36 | 2.080 | 6722.6 | 
		| 1632 | 2025-04-06 11:53:03 | bads | 1 | 13983 | 36 | 1.593 | 8777.8 | 
		| 1631 | 2025-04-04 02:22:10 | bads | 1 | 13983 | 36 | 1.186 | 11790.1 | 
		| 1630 | 2025-03-31 13:54:54 | bads | 1 | 13983 | 36 | 1.623 | 8615.5 | 
		| 1629 | 2025-03-30 01:16:11 | bads | 2 | 29872 | 547 | 2.143 | 13939.3 | 
		| 1628 | 2025-03-29 18:34:47 | bads | 1 | 13983 | 36 | 1.533 | 9121.3 | 
		| 1627 | 2025-03-26 16:33:04 | bads | 1 | 13983 | 36 | 1.423 | 9826.4 | 
		| 1626 | 2025-03-26 08:51:16 | bads | 1 | 13983 | 36 | 1.170 | 11951.3 | 
		| 1625 | 2025-03-25 13:51:14 | bads | 2 | 29872 | 547 | 2.630 | 11358.2 | 
		| 1624 | 2025-03-25 01:44:34 | bads | 1 | 13983 | 36 | 1.656 | 8443.8 | 
		| 1623 | 2025-03-23 03:30:56 | bads | 1 | 13983 | 36 | 1.063 | 13154.3 | 
		| 1622 | 2025-03-14 20:27:04 | bads | 1 | 13983 | 36 | 0.966 | 14475.2 | 
		| 1621 | 2025-03-13 16:18:49 | bads | 1 | 13983 | 36 | 0.673 | 20777.1 | 
		| 1620 | 2025-03-11 10:56:27 | bads | 1 | 13983 | 36 | 1.313 | 10649.7 | 
		| 1619 | 2025-03-09 18:38:28 | bads | 2 | 29872 | 547 | 2.766 | 10799.7 | 
		| 1618 | 2025-03-06 23:30:28 | bads | 2 | 29872 | 547 | 4.093 | 7298.3 | 
		| 1617 | 2025-03-06 23:20:47 | bads | 1 | 13983 | 36 | 0.970 | 14415.5 | 
		| 1616 | 2025-03-05 17:21:43 | bads | 2 | 29872 | 547 | 2.450 | 12192.7 | 
		| 1615 | 2025-03-05 08:17:56 | bads | 2 | 29872 | 547 | 4.440 | 6727.9 | 
		| 1614 | 2025-03-05 07:34:34 | bads | 2 | 29872 | 547 | 3.923 | 7614.6 | 
		| 1613 | 2025-03-01 19:14:35 | bads | 1 | 13983 | 36 | 1.440 | 9710.4 | 
		| 1612 | 2025-02-27 23:57:24 | bads | 1 | 13983 | 36 | 0.250 | 55932.0 | 
		| 1611 | 2025-02-25 13:39:53 | bads | 1 | 13983 | 36 | 0.780 | 17926.9 | 
		| 1610 | 2025-02-24 10:06:44 | bads | 1 | 13983 | 36 | 0.236 | 59250.0 |