History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"bests"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1704 | 2024-03-27 07:00:07 | bests | 1 | 28756 | 24 | 0.546 | 52666.7 |
1703 | 2024-03-12 10:33:48 | bests | 1 | 28756 | 24 | 0.436 | 65954.1 |
1702 | 2024-03-02 18:02:48 | bests | 2 | 53800 | 280 | 1.906 | 28226.7 |
1701 | 2024-03-02 17:52:43 | bests | 1 | 28756 | 24 | 0.580 | 49579.3 |
1700 | 2024-03-01 22:08:01 | bests | 2 | 53800 | 280 | 4.173 | 12892.4 |
1699 | 2024-03-01 09:41:14 | bests | 2 | 53800 | 280 | 4.826 | 11147.9 |
1698 | 2024-03-01 09:23:53 | bests | 1 | 28756 | 24 | 0.516 | 55728.7 |
1697 | 2024-02-27 01:20:17 | bests | 1 | 28756 | 24 | 1.123 | 25606.4 |
1696 | 2024-02-25 22:18:29 | bests | 1 | 28756 | 24 | 1.203 | 23903.6 |
1695 | 2024-02-13 23:59:35 | bests | 1 | 28756 | 24 | 1.140 | 25224.6 |
1694 | 2024-01-28 17:33:07 | bests | 1 | 28756 | 24 | 0.436 | 65954.1 |
1693 | 2024-01-28 06:43:28 | bests | 1 | 28756 | 24 | 0.936 | 30722.2 |
1692 | 2024-01-26 20:36:17 | bests | 1 | 28756 | 24 | 0.500 | 57512.0 |
1691 | 2024-01-20 14:51:05 | bests | 2 | 53800 | 280 | 1.560 | 34487.2 |
1690 | 2024-01-20 02:47:37 | bests | 1 | 28756 | 24 | 0.500 | 57512.0 |
1689 | 2024-01-07 03:48:19 | bests | 1 | 28756 | 24 | 0.546 | 52666.7 |
1688 | 2024-01-04 11:36:12 | bests | 1 | 28756 | 24 | 0.483 | 59536.2 |
1687 | 2024-01-03 06:11:42 | bests | 2 | 53800 | 280 | 1.563 | 34421.0 |
1686 | 2023-12-12 18:54:05 | bests | 2 | 53800 | 280 | 1.453 | 37026.8 |
1685 | 2023-12-09 02:17:58 | bests | 1 | 28756 | 24 | 1.033 | 27837.4 |
1684 | 2023-12-03 19:54:39 | bests | 2 | 53800 | 280 | 1.550 | 34709.7 |
1683 | 2023-11-23 10:48:43 | bests | 1 | 28756 | 24 | 0.483 | 59536.2 |
1682 | 2023-11-18 09:38:40 | bests | 1 | 28756 | 24 | 0.500 | 57512.0 |
1681 | 2023-11-14 01:30:46 | bests | 1 | 28756 | 24 | 0.486 | 59168.7 |
1680 | 2023-10-31 09:27:41 | bests | 2 | 53800 | 280 | 3.140 | 17133.8 |
1679 | 2023-10-28 15:32:18 | bests | 1 | 28756 | 24 | 0.453 | 63479.0 |
1678 | 2023-10-27 21:40:20 | bests | 1 | 28756 | 24 | 0.513 | 56054.6 |
1677 | 2023-10-20 20:14:42 | bests | 1 | 28756 | 24 | 0.873 | 32939.3 |
1676 | 2023-10-19 01:58:15 | bests | 1 | 28756 | 24 | 0.486 | 59168.7 |
1675 | 2023-10-13 23:54:14 | bests | 1 | 28756 | 24 | 0.486 | 59168.7 |
1674 | 2023-10-13 04:31:01 | bests | 2 | 53800 | 280 | 1.766 | 30464.3 |
1673 | 2023-10-11 01:14:43 | bests | 2 | 53800 | 280 | 3.373 | 15950.2 |
1672 | 2023-10-09 16:06:13 | bests | 2 | 53800 | 280 | 1.733 | 31044.4 |
1671 | 2023-10-07 07:53:41 | bests | 2 | 53800 | 280 | 1.406 | 38264.6 |
1670 | 2023-10-05 03:31:13 | bests | 1 | 28756 | 24 | 0.470 | 61183.0 |
1669 | 2023-09-26 16:04:09 | bests | 1 | 28756 | 24 | 0.470 | 61183.0 |
1668 | 2023-09-25 10:49:21 | bests | 2 | 53800 | 280 | 1.453 | 37026.8 |
1667 | 2023-09-19 13:44:02 | bests | 1 | 28756 | 24 | 0.453 | 63479.0 |
1666 | 2023-09-01 06:23:52 | bests | 2 | 53800 | 280 | 1.346 | 39970.3 |
1665 | 2023-08-30 05:22:21 | bests | 1 | 28756 | 24 | 0.470 | 61183.0 |
1664 | 2023-08-21 00:26:23 | bests | 1 | 28756 | 24 | 0.436 | 65954.1 |
1663 | 2023-08-13 02:33:06 | bests | 2 | 53800 | 280 | 1.390 | 38705.0 |
1662 | 2023-07-26 15:11:20 | bests | 1 | 28756 | 24 | 0.500 | 57512.0 |
1661 | 2023-05-29 23:19:00 | bests | 1 | 28756 | 24 | 0.470 | 61183.0 |
1660 | 2023-05-21 22:54:17 | bests | 1 | 28756 | 24 | 0.436 | 65954.1 |
1659 | 2023-05-18 07:36:11 | bests | 2 | 53800 | 280 | 1.376 | 39098.8 |
1658 | 2023-05-04 12:37:37 | bests | 2 | 53800 | 280 | 1.453 | 37026.8 |
1657 | 2023-04-30 18:52:22 | bests | 2 | 53800 | 280 | 1.343 | 40059.6 |
1656 | 2023-03-31 13:49:31 | bests | 1 | 28756 | 24 | 0.533 | 53951.2 |
1655 | 2023-03-17 00:23:27 | bests | 1 | 28756 | 24 | 0.440 | 65354.5 |
1654 | 2023-02-27 11:09:44 | bests | 1 | 28756 | 24 | 0.483 | 59536.2 |
1653 | 2023-02-25 15:29:10 | bests | 2 | 53800 | 280 | 1.530 | 35163.4 |
1652 | 2023-01-24 17:36:15 | bests | 2 | 53800 | 280 | 1.360 | 39558.8 |
1651 | 2023-01-24 16:05:00 | bests | 2 | 53800 | 280 | 1.550 | 34709.7 |
1650 | 2023-01-04 21:51:53 | bests | 1 | 28756 | 24 | 0.483 | 59536.2 |
1649 | 2022-12-21 07:12:08 | bests | 2 | 53800 | 280 | 1.610 | 33416.1 |
1648 | 2022-12-13 07:22:58 | bests | 2 | 53800 | 280 | 1.606 | 33499.4 |
1647 | 2022-12-06 11:21:01 | bests | 2 | 53800 | 280 | 1.343 | 40059.6 |
1646 | 2022-11-24 04:47:47 | bests | 2 | 53800 | 280 | 1.610 | 33416.1 |
1645 | 2022-11-23 14:21:06 | bests | 2 | 53800 | 280 | 1.360 | 39558.8 |
1644 | 2022-11-21 10:20:55 | bests | 1 | 28756 | 24 | 0.500 | 57512.0 |
1643 | 2022-11-03 04:23:36 | bests | 2 | 53800 | 280 | 1.373 | 39184.3 |
1642 | 2022-10-26 05:10:15 | bests | 2 | 53800 | 280 | 1.360 | 39558.8 |
1641 | 2022-10-11 07:24:14 | bests | 2 | 53800 | 280 | 1.656 | 32487.9 |
1640 | 2022-10-07 01:34:20 | bests | 2 | 53800 | 280 | 1.420 | 37887.3 |
1639 | 2022-09-27 11:08:34 | bests | 1 | 28756 | 24 | 0.436 | 65954.1 |
1638 | 2022-09-13 19:04:43 | bests | 1 | 28756 | 24 | 0.453 | 63479.0 |
1637 | 2022-09-11 16:27:28 | bests | 1 | 28756 | 24 | 0.500 | 57512.0 |
1636 | 2022-09-08 15:54:34 | bests | 2 | 53800 | 280 | 1.530 | 35163.4 |
1635 | 2022-09-08 14:43:00 | bests | 2 | 53800 | 280 | 1.483 | 36277.8 |
1634 | 2022-08-27 14:54:49 | bests | 1 | 28756 | 24 | 0.453 | 63479.0 |
1633 | 2022-08-27 13:41:56 | bests | 2 | 53800 | 280 | 1.343 | 40059.6 |
1632 | 2022-08-17 11:09:59 | bests | 1 | 28756 | 24 | 0.450 | 63902.2 |
1631 | 2022-07-30 19:53:31 | bests | 2 | 53800 | 280 | 1.360 | 39558.8 |
1630 | 2022-07-29 13:09:44 | bests | 2 | 53800 | 280 | 1.440 | 37361.1 |
1629 | 2022-07-29 07:45:40 | bests | 2 | 53800 | 280 | 1.343 | 40059.6 |
1628 | 2022-07-28 03:21:04 | bests | 2 | 53800 | 280 | 1.360 | 39558.8 |
1627 | 2022-07-24 00:43:28 | bests | 2 | 53800 | 280 | 1.346 | 39970.3 |
1626 | 2022-07-12 20:38:59 | bests | 1 | 28756 | 24 | 0.483 | 59536.2 |
1625 | 2022-07-12 20:38:49 | bests | 2 | 53800 | 280 | 1.656 | 32487.9 |
1624 | 2022-07-10 16:20:49 | bests | 1 | 28756 | 24 | 0.436 | 65954.1 |
1623 | 2022-07-03 08:07:42 | bests | 1 | 28756 | 24 | 0.456 | 63061.4 |
1622 | 2022-07-03 08:07:36 | bests | 2 | 53800 | 280 | 1.360 | 39558.8 |
1621 | 2022-07-02 02:18:13 | bests | 2 | 53800 | 280 | 1.483 | 36277.8 |
1620 | 2022-06-20 18:02:22 | bests | 2 | 53800 | 280 | 1.343 | 40059.6 |
1619 | 2022-05-19 06:40:25 | bests | 2 | 53800 | 280 | 1.560 | 34487.2 |
1618 | 2022-05-18 16:52:46 | bests | 2 | 53800 | 280 | 1.576 | 34137.1 |
1617 | 2022-05-18 02:44:54 | bests | 2 | 53800 | 280 | 1.373 | 39184.3 |
1616 | 2022-05-17 15:06:56 | bests | 2 | 53800 | 280 | 1.690 | 31834.3 |
1615 | 2022-05-16 03:47:48 | bests | 2 | 53800 | 280 | 1.500 | 35866.7 |
1614 | 2022-05-15 10:31:17 | bests | 2 | 53800 | 280 | 1.393 | 38621.7 |
1613 | 2022-05-14 11:33:27 | bests | 2 | 53800 | 280 | 1.390 | 38705.0 |
1612 | 2022-05-13 15:03:47 | bests | 2 | 53800 | 280 | 1.906 | 28226.7 |
1611 | 2022-05-13 03:53:34 | bests | 2 | 53800 | 280 | 1.733 | 31044.4 |
1610 | 2022-05-12 18:53:08 | bests | 2 | 53800 | 280 | 1.593 | 33772.8 |
1609 | 2022-05-11 15:26:19 | bests | 2 | 53800 | 280 | 2.253 | 23879.3 |
1608 | 2022-05-11 04:33:52 | bests | 2 | 53800 | 280 | 2.000 | 26900.0 |
1607 | 2022-05-11 04:20:46 | bests | 2 | 53800 | 280 | 2.173 | 24758.4 |
1606 | 2022-05-10 23:18:27 | bests | 2 | 53800 | 280 | 2.060 | 26116.5 |
1605 | 2022-05-10 17:16:22 | bests | 2 | 53800 | 280 | 1.690 | 31834.3 |