History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"upset"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1713 | 2025-09-07 11:02:03 | upset | 1 | 28756 | 4 | 0.500 | 57512.0 |
1712 | 2025-08-28 10:21:51 | upset | 1 | 28756 | 4 | 1.123 | 25606.4 |
1711 | 2025-08-27 12:45:28 | upset | 1 | 28756 | 4 | 0.436 | 65954.1 |
1710 | 2025-08-27 06:05:12 | upset | 1 | 28756 | 4 | 0.483 | 59536.2 |
1709 | 2025-08-15 18:12:59 | upset | 1 | 28756 | 4 | 1.453 | 19790.8 |
1708 | 2025-08-02 04:34:22 | upset | 1 | 28756 | 4 | 1.330 | 21621.1 |
1707 | 2025-08-01 17:31:33 | upset | 1 | 28756 | 4 | 3.653 | 7871.9 |
1706 | 2025-08-01 15:09:31 | upset | 1 | 28756 | 4 | 2.480 | 11595.2 |
1705 | 2025-07-29 15:56:17 | upset | 1 | 28756 | 4 | 2.110 | 13628.4 |
1704 | 2025-07-28 12:40:15 | upset | 3 | 83667 | 856 | 10.393 | 8050.3 |
1703 | 2025-07-28 10:20:55 | upset | 3 | 83667 | 856 | 9.390 | 8910.2 |
1702 | 2025-07-28 10:05:57 | upset | 2 | 53800 | 48 | 3.236 | 16625.5 |
1701 | 2025-07-27 14:52:23 | upset | 1 | 28756 | 4 | 2.000 | 14378.0 |
1700 | 2025-07-26 18:24:55 | upset | 1 | 28756 | 4 | 1.140 | 25224.6 |
1699 | 2025-07-23 18:09:39 | upset | 1 | 28756 | 4 | 1.733 | 16593.2 |
1698 | 2025-07-23 11:13:26 | upset | 1 | 28756 | 4 | 1.360 | 21144.1 |
1697 | 2025-07-22 15:58:27 | upset | 1 | 28756 | 4 | 3.750 | 7668.3 |
1696 | 2025-07-13 10:50:16 | upset | 1 | 28756 | 4 | 0.513 | 56054.6 |
1695 | 2025-07-07 10:31:16 | upset | 1 | 28756 | 4 | 2.360 | 12184.7 |
1694 | 2025-07-05 13:38:35 | upset | 2 | 53800 | 48 | 6.856 | 7847.1 |
1693 | 2025-07-03 03:50:15 | upset | 1 | 28756 | 4 | 1.563 | 18398.0 |
1692 | 2025-07-02 13:51:10 | upset | 1 | 28756 | 4 | 2.343 | 12273.2 |
1691 | 2025-07-01 01:34:21 | upset | 1 | 28756 | 4 | 0.500 | 57512.0 |
1690 | 2025-06-30 14:24:11 | upset | 1 | 28756 | 4 | 2.423 | 11867.9 |
1689 | 2025-06-24 14:19:34 | upset | 1 | 28756 | 4 | 2.860 | 10054.5 |
1688 | 2025-06-20 19:21:34 | upset | 1 | 28756 | 4 | 1.936 | 14853.3 |
1687 | 2025-06-18 07:41:21 | upset | 1 | 28756 | 4 | 2.983 | 9640.0 |
1686 | 2025-06-17 13:13:15 | upset | 2 | 53800 | 48 | 1.750 | 30742.9 |
1685 | 2025-06-16 18:33:36 | upset | 1 | 28756 | 4 | 3.046 | 9440.6 |
1684 | 2025-06-16 11:04:32 | upset | 1 | 28756 | 4 | 1.373 | 20943.9 |
1683 | 2025-06-15 23:32:39 | upset | 3 | 83667 | 856 | 21.080 | 3969.0 |
1682 | 2025-06-14 23:46:12 | upset | 3 | 83667 | 856 | 3.656 | 22884.8 |
1681 | 2025-06-14 12:48:29 | upset | 3 | 83667 | 856 | 13.406 | 6241.0 |
1680 | 2025-06-13 07:59:08 | upset | 3 | 83667 | 856 | 3.843 | 21771.3 |
1679 | 2025-06-13 00:26:19 | upset | 2 | 53800 | 48 | 1.593 | 33772.8 |
1678 | 2025-06-12 09:05:22 | upset | 1 | 28756 | 4 | 2.500 | 11502.4 |
1677 | 2025-06-12 07:20:09 | upset | 1 | 28756 | 4 | 2.063 | 13938.9 |
1676 | 2025-06-11 04:17:22 | upset | 1 | 28756 | 4 | 2.313 | 12432.3 |
1675 | 2025-06-05 15:49:56 | upset | 1 | 28756 | 4 | 0.500 | 57512.0 |
1674 | 2025-06-03 12:43:02 | upset | 2 | 53800 | 48 | 11.970 | 4494.6 |
1673 | 2025-06-02 03:07:23 | upset | 1 | 28756 | 4 | 1.263 | 22768.0 |
1672 | 2025-06-01 13:13:38 | upset | 2 | 53800 | 48 | 6.810 | 7900.1 |
1671 | 2025-05-30 04:18:07 | upset | 1 | 28756 | 4 | 0.513 | 56054.6 |
1670 | 2025-05-20 14:28:54 | upset | 1 | 28756 | 4 | 1.736 | 16564.5 |
1669 | 2025-05-14 20:37:22 | upset | 2 | 53800 | 48 | 1.670 | 32215.6 |
1668 | 2025-05-13 19:09:03 | upset | 1 | 28756 | 4 | 0.533 | 53951.2 |
1667 | 2025-05-13 08:22:10 | upset | 3 | 83667 | 856 | 23.920 | 3497.8 |
1666 | 2025-05-13 00:16:02 | upset | 2 | 53800 | 48 | 7.780 | 6915.2 |
1665 | 2025-05-12 09:16:05 | upset | 1 | 28756 | 4 | 2.390 | 12031.8 |
1664 | 2025-05-12 08:00:19 | upset | 1 | 28756 | 4 | 1.360 | 21144.1 |
1663 | 2025-05-11 05:07:54 | upset | 1 | 28756 | 4 | 2.376 | 12102.7 |
1662 | 2025-05-06 18:43:56 | upset | 1 | 28756 | 4 | 2.346 | 12257.5 |
1661 | 2025-05-06 07:58:16 | upset | 1 | 28756 | 4 | 3.500 | 8216.0 |
1660 | 2025-04-29 03:35:05 | upset | 1 | 28756 | 4 | 1.970 | 14597.0 |
1659 | 2025-04-22 17:30:11 | upset | 2 | 53800 | 48 | 1.516 | 35488.1 |
1658 | 2025-04-21 03:24:42 | upset | 2 | 53800 | 48 | 8.126 | 6620.7 |
1657 | 2025-04-20 13:08:42 | upset | 1 | 28756 | 4 | 1.343 | 21411.8 |
1656 | 2025-04-12 08:05:58 | upset | 3 | 83667 | 856 | 19.016 | 4399.8 |
1655 | 2025-04-11 17:38:40 | upset | 3 | 83667 | 856 | 18.953 | 4414.4 |
1654 | 2025-04-11 07:01:17 | upset | 1 | 28756 | 4 | 2.483 | 11581.2 |
1653 | 2025-04-10 23:43:14 | upset | 3 | 83667 | 856 | 25.596 | 3268.8 |
1652 | 2025-04-10 00:23:03 | upset | 3 | 83667 | 856 | 3.656 | 22884.8 |
1651 | 2025-04-06 08:24:18 | upset | 1 | 28756 | 4 | 2.000 | 14378.0 |
1650 | 2025-04-01 15:22:48 | upset | 3 | 83667 | 856 | 6.966 | 12010.8 |
1649 | 2025-03-30 14:29:15 | upset | 1 | 28756 | 4 | 0.406 | 70827.6 |
1648 | 2025-03-29 04:00:43 | upset | 1 | 28756 | 4 | 3.906 | 7362.0 |
1647 | 2025-03-24 12:47:07 | upset | 3 | 83667 | 856 | 18.766 | 4458.4 |
1646 | 2025-03-21 17:47:05 | upset | 2 | 53800 | 48 | 7.030 | 7652.9 |
1645 | 2025-03-21 17:29:52 | upset | 3 | 83667 | 856 | 15.890 | 5265.4 |
1644 | 2025-03-20 15:19:16 | upset | 1 | 28756 | 4 | 1.313 | 21901.0 |
1643 | 2025-03-19 15:53:05 | upset | 1 | 28756 | 4 | 0.436 | 65954.1 |
1642 | 2025-03-10 13:02:35 | upset | 1 | 28756 | 4 | 1.153 | 24940.2 |
1641 | 2025-03-10 10:44:40 | upset | 3 | 83667 | 856 | 12.343 | 6778.5 |
1640 | 2025-03-10 07:25:17 | upset | 3 | 83667 | 856 | 17.330 | 4827.9 |
1639 | 2025-03-07 16:24:23 | upset | 2 | 53800 | 48 | 7.876 | 6830.9 |
1638 | 2025-03-07 15:06:37 | upset | 3 | 83667 | 856 | 15.203 | 5503.3 |
1637 | 2025-03-07 04:50:39 | upset | 3 | 83667 | 856 | 18.986 | 4406.8 |
1636 | 2025-03-07 03:05:25 | upset | 3 | 83667 | 856 | 20.470 | 4087.3 |
1635 | 2025-03-07 03:05:22 | upset | 2 | 53800 | 48 | 5.920 | 9087.8 |
1634 | 2025-03-07 02:37:47 | upset | 1 | 28756 | 4 | 0.440 | 65354.5 |
1633 | 2025-03-05 23:41:44 | upset | 1 | 28756 | 4 | 2.253 | 12763.4 |
1632 | 2025-02-27 16:37:23 | upset | 1 | 28756 | 4 | 1.750 | 16432.0 |
1631 | 2025-02-26 06:15:52 | upset | 1 | 28756 | 4 | 1.813 | 15861.0 |
1630 | 2025-02-23 22:55:10 | upset | 1 | 28756 | 4 | 2.036 | 14123.8 |
1629 | 2025-02-17 11:16:36 | upset | 1 | 28756 | 4 | 1.250 | 23004.8 |
1628 | 2025-02-14 19:16:30 | upset | 2 | 53800 | 48 | 4.720 | 11398.3 |
1627 | 2025-02-07 12:12:10 | upset | 1 | 28756 | 4 | 2.470 | 11642.1 |
1626 | 2025-02-01 02:24:49 | upset | 3 | 83667 | 856 | 20.800 | 4022.5 |
1625 | 2025-02-01 02:24:53 | upset | 2 | 53800 | 48 | 7.753 | 6939.2 |
1624 | 2025-02-01 02:24:41 | upset | 1 | 28756 | 4 | 2.296 | 12524.4 |
1623 | 2025-01-28 09:01:21 | upset | 1 | 28756 | 4 | 1.093 | 26309.2 |
1622 | 2025-01-26 16:00:20 | upset | 2 | 53800 | 48 | 4.063 | 13241.4 |
1621 | 2025-01-26 16:00:00 | upset | 3 | 83667 | 856 | 12.640 | 6619.2 |
1620 | 2025-01-26 15:39:42 | upset | 1 | 28756 | 4 | 0.513 | 56054.6 |
1619 | 2025-01-25 22:32:04 | upset | 2 | 53800 | 48 | 1.593 | 33772.8 |
1618 | 2025-01-21 19:41:21 | upset | 2 | 53800 | 48 | 3.623 | 14849.6 |
1617 | 2025-01-08 06:19:18 | upset | 2 | 53800 | 48 | 7.860 | 6844.8 |
1616 | 2025-01-08 06:19:17 | upset | 1 | 28756 | 4 | 2.530 | 11366.0 |
1615 | 2025-01-05 18:35:59 | upset | 3 | 83667 | 856 | 18.953 | 4414.4 |
1614 | 2025-01-05 11:33:01 | upset | 3 | 83667 | 856 | 8.046 | 10398.6 |