History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"lanes"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1715 | 2025-11-15 18:43:09 | lanes | 1 | 28756 | 30 | 0.516 | 55728.7 |
| 1714 | 2025-11-15 02:21:07 | lanes | 1 | 28756 | 30 | 0.563 | 51076.4 |
| 1713 | 2025-11-14 23:36:45 | lanes | 1 | 28756 | 30 | 0.533 | 53951.2 |
| 1712 | 2025-11-11 13:02:29 | lanes | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1711 | 2025-11-11 11:44:29 | lanes | 1 | 28756 | 30 | 0.513 | 56054.6 |
| 1710 | 2025-10-19 13:49:35 | lanes | 1 | 28756 | 30 | 0.516 | 55728.7 |
| 1709 | 2025-10-16 03:29:35 | lanes | 2 | 53800 | 565 | 1.440 | 37361.1 |
| 1708 | 2025-10-07 04:03:49 | lanes | 1 | 28756 | 30 | 0.470 | 61183.0 |
| 1707 | 2025-09-27 09:41:37 | lanes | 1 | 28756 | 30 | 0.550 | 52283.6 |
| 1706 | 2025-09-19 22:12:28 | lanes | 1 | 28756 | 30 | 0.453 | 63479.0 |
| 1705 | 2025-09-16 14:15:19 | lanes | 1 | 28756 | 30 | 0.470 | 61183.0 |
| 1704 | 2025-09-16 12:12:19 | lanes | 1 | 28756 | 30 | 0.530 | 54256.6 |
| 1703 | 2025-09-13 06:30:44 | lanes | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1702 | 2025-09-09 22:56:27 | lanes | 1 | 28756 | 30 | 0.470 | 61183.0 |
| 1701 | 2025-09-06 15:55:18 | lanes | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1700 | 2025-09-03 08:44:49 | lanes | 1 | 28756 | 30 | 0.453 | 63479.0 |
| 1699 | 2025-09-01 17:38:42 | lanes | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1698 | 2025-08-31 01:23:59 | lanes | 1 | 28756 | 30 | 0.470 | 61183.0 |
| 1697 | 2025-08-30 17:27:04 | lanes | 1 | 28756 | 30 | 0.466 | 61708.2 |
| 1696 | 2025-08-27 18:12:39 | lanes | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1695 | 2025-08-27 14:52:29 | lanes | 1 | 28756 | 30 | 0.546 | 52666.7 |
| 1694 | 2025-08-14 08:37:07 | lanes | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1693 | 2025-08-10 02:47:22 | lanes | 1 | 28756 | 30 | 1.250 | 23004.8 |
| 1692 | 2025-08-05 14:11:56 | lanes | 2 | 53800 | 565 | 8.203 | 6558.6 |
| 1691 | 2025-08-04 00:40:42 | lanes | 2 | 53800 | 565 | 4.420 | 12171.9 |
| 1690 | 2025-08-03 12:52:25 | lanes | 2 | 53800 | 565 | 8.156 | 6596.4 |
| 1689 | 2025-08-02 09:51:21 | lanes | 1 | 28756 | 30 | 3.173 | 9062.7 |
| 1688 | 2025-08-02 02:50:04 | lanes | 2 | 53800 | 565 | 7.143 | 7531.8 |
| 1687 | 2025-08-01 00:32:40 | lanes | 1 | 28756 | 30 | 2.483 | 11581.2 |
| 1686 | 2025-07-31 10:12:37 | lanes | 1 | 28756 | 30 | 0.766 | 37540.5 |
| 1685 | 2025-07-31 03:41:16 | lanes | 1 | 28756 | 30 | 0.513 | 56054.6 |
| 1684 | 2025-07-21 21:21:18 | lanes | 1 | 28756 | 30 | 0.486 | 59168.7 |
| 1683 | 2025-07-19 01:01:37 | lanes | 1 | 28756 | 30 | 0.843 | 34111.5 |
| 1682 | 2025-07-18 21:38:16 | lanes | 1 | 28756 | 30 | 1.453 | 19790.8 |
| 1681 | 2025-07-18 18:11:46 | lanes | 1 | 28756 | 30 | 2.670 | 10770.0 |
| 1680 | 2025-07-17 19:39:59 | lanes | 1 | 28756 | 30 | 2.953 | 9737.9 |
| 1679 | 2025-07-17 10:30:31 | lanes | 1 | 28756 | 30 | 1.173 | 24514.9 |
| 1678 | 2025-07-11 00:07:28 | lanes | 1 | 28756 | 30 | 2.563 | 11219.7 |
| 1677 | 2025-07-10 07:29:41 | lanes | 1 | 28756 | 30 | 2.470 | 11642.1 |
| 1676 | 2025-07-01 23:16:25 | lanes | 1 | 28756 | 30 | 1.156 | 24875.4 |
| 1675 | 2025-06-26 15:13:54 | lanes | 1 | 28756 | 30 | 1.016 | 28303.1 |
| 1674 | 2025-06-10 10:53:40 | lanes | 1 | 28756 | 30 | 2.483 | 11581.2 |
| 1673 | 2025-06-01 16:44:16 | lanes | 1 | 28756 | 30 | 0.513 | 56054.6 |
| 1672 | 2025-05-31 09:21:14 | lanes | 1 | 28756 | 30 | 2.280 | 12612.3 |
| 1671 | 2025-05-30 10:19:40 | lanes | 1 | 28756 | 30 | 2.173 | 13233.3 |
| 1670 | 2025-05-30 10:09:42 | lanes | 1 | 28756 | 30 | 2.360 | 12184.7 |
| 1669 | 2025-05-29 02:05:56 | lanes | 2 | 53800 | 565 | 7.733 | 6957.2 |
| 1668 | 2025-05-26 16:25:32 | lanes | 2 | 53800 | 565 | 4.063 | 13241.4 |
| 1667 | 2025-05-26 15:26:20 | lanes | 1 | 28756 | 30 | 2.766 | 10396.2 |
| 1666 | 2025-05-25 23:23:51 | lanes | 1 | 28756 | 30 | 2.593 | 11089.9 |
| 1665 | 2025-05-21 07:50:34 | lanes | 1 | 28756 | 30 | 4.673 | 6153.6 |
| 1664 | 2025-05-20 16:18:25 | lanes | 1 | 28756 | 30 | 1.266 | 22714.1 |
| 1663 | 2025-05-19 16:21:28 | lanes | 1 | 28756 | 30 | 2.046 | 14054.7 |
| 1662 | 2025-05-10 01:38:31 | lanes | 1 | 28756 | 30 | 2.403 | 11966.7 |
| 1661 | 2025-05-09 11:41:35 | lanes | 1 | 28756 | 30 | 0.470 | 61183.0 |
| 1660 | 2025-05-08 08:42:02 | lanes | 1 | 28756 | 30 | 1.296 | 22188.3 |
| 1659 | 2025-05-08 07:20:57 | lanes | 2 | 53800 | 565 | 6.203 | 8673.2 |
| 1658 | 2025-05-05 00:21:26 | lanes | 1 | 28756 | 30 | 0.563 | 51076.4 |
| 1657 | 2025-04-30 21:57:07 | lanes | 1 | 28756 | 30 | 2.376 | 12102.7 |
| 1656 | 2025-04-30 15:55:58 | lanes | 1 | 28756 | 30 | 2.283 | 12595.7 |
| 1655 | 2025-04-27 10:51:37 | lanes | 1 | 28756 | 30 | 0.516 | 55728.7 |
| 1654 | 2025-04-26 16:02:51 | lanes | 2 | 53800 | 565 | 6.503 | 8273.1 |
| 1653 | 2025-04-26 14:47:23 | lanes | 1 | 28756 | 30 | 1.000 | 28756.0 |
| 1652 | 2025-04-19 10:01:08 | lanes | 1 | 28756 | 30 | 0.483 | 59536.2 |
| 1651 | 2025-04-17 15:56:25 | lanes | 1 | 28756 | 30 | 0.546 | 52666.7 |
| 1650 | 2025-04-15 07:35:17 | lanes | 1 | 28756 | 30 | 1.406 | 20452.3 |
| 1649 | 2025-04-08 01:35:07 | lanes | 1 | 28756 | 30 | 2.453 | 11722.8 |
| 1648 | 2025-04-03 13:57:53 | lanes | 1 | 28756 | 30 | 0.486 | 59168.7 |
| 1647 | 2025-04-03 12:25:14 | lanes | 1 | 28756 | 30 | 0.470 | 61183.0 |
| 1646 | 2025-04-03 11:53:12 | lanes | 1 | 28756 | 30 | 2.703 | 10638.5 |
| 1645 | 2025-03-30 22:14:05 | lanes | 1 | 28756 | 30 | 3.640 | 7900.0 |
| 1644 | 2025-03-29 18:04:19 | lanes | 1 | 28756 | 30 | 2.453 | 11722.8 |
| 1643 | 2025-03-26 17:02:15 | lanes | 1 | 28756 | 30 | 2.156 | 13337.7 |
| 1642 | 2025-03-22 06:58:18 | lanes | 1 | 28756 | 30 | 0.483 | 59536.2 |
| 1641 | 2025-03-20 12:06:38 | lanes | 1 | 28756 | 30 | 2.000 | 14378.0 |
| 1640 | 2025-03-15 08:11:33 | lanes | 1 | 28756 | 30 | 2.750 | 10456.7 |
| 1639 | 2025-03-07 19:23:21 | lanes | 1 | 28756 | 30 | 1.140 | 25224.6 |
| 1638 | 2025-03-04 03:39:31 | lanes | 1 | 28756 | 30 | 2.330 | 12341.6 |
| 1637 | 2025-02-26 08:33:24 | lanes | 2 | 53800 | 565 | 9.783 | 5499.3 |
| 1636 | 2025-02-26 08:30:51 | lanes | 2 | 53800 | 565 | 3.953 | 13609.9 |
| 1635 | 2025-02-26 08:03:34 | lanes | 2 | 53800 | 565 | 9.046 | 5947.4 |
| 1634 | 2025-02-26 06:18:33 | lanes | 1 | 28756 | 30 | 4.780 | 6015.9 |
| 1633 | 2025-02-26 02:27:43 | lanes | 1 | 28756 | 30 | 2.186 | 13154.6 |
| 1632 | 2025-02-25 23:40:56 | lanes | 1 | 28756 | 30 | 1.390 | 20687.8 |
| 1631 | 2025-02-24 02:44:21 | lanes | 1 | 28756 | 30 | 2.843 | 10114.7 |
| 1630 | 2025-02-05 15:20:41 | lanes | 1 | 28756 | 30 | 2.343 | 12273.2 |
| 1629 | 2025-01-27 04:28:08 | lanes | 2 | 53800 | 565 | 7.343 | 7326.7 |
| 1628 | 2025-01-26 18:47:00 | lanes | 2 | 53800 | 565 | 8.013 | 6714.1 |
| 1627 | 2025-01-26 14:05:23 | lanes | 2 | 53800 | 565 | 11.390 | 4723.4 |
| 1626 | 2025-01-26 12:11:34 | lanes | 2 | 53800 | 565 | 9.756 | 5514.6 |
| 1625 | 2025-01-26 11:52:04 | lanes | 1 | 28756 | 30 | 0.483 | 59536.2 |
| 1624 | 2025-01-26 09:23:35 | lanes | 1 | 28756 | 30 | 0.500 | 57512.0 |
| 1623 | 2025-01-16 01:31:18 | lanes | 1 | 28756 | 30 | 1.233 | 23322.0 |
| 1622 | 2025-01-06 12:29:02 | lanes | 1 | 28756 | 30 | 3.843 | 7482.7 |
| 1621 | 2024-12-28 02:46:08 | lanes | 2 | 53800 | 565 | 5.673 | 9483.5 |
| 1620 | 2024-12-27 16:22:50 | lanes | 2 | 53800 | 565 | 8.893 | 6049.7 |
| 1619 | 2024-12-27 10:06:52 | lanes | 2 | 53800 | 565 | 8.486 | 6339.9 |
| 1618 | 2024-12-27 09:10:14 | lanes | 1 | 28756 | 30 | 1.440 | 19969.4 |
| 1617 | 2024-12-27 09:05:52 | lanes | 1 | 28756 | 30 | 2.093 | 13739.1 |
| 1616 | 2024-12-25 15:43:36 | lanes | 1 | 28756 | 30 | 1.733 | 16593.2 |