History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"birth"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1674 | 2025-07-04 13:11:44 | birth | 1 | 28756 | 10 | 3.033 | 9481.0 |
1673 | 2025-07-02 04:58:49 | birth | 1 | 28756 | 10 | 1.970 | 14597.0 |
1672 | 2025-06-30 06:58:08 | birth | 1 | 28756 | 10 | 1.360 | 21144.1 |
1671 | 2025-06-24 08:52:55 | birth | 3 | 83667 | 1017 | 15.423 | 5424.8 |
1670 | 2025-06-23 20:00:05 | birth | 2 | 53800 | 85 | 3.610 | 14903.0 |
1669 | 2025-06-23 03:58:54 | birth | 3 | 83667 | 1017 | 13.296 | 6292.6 |
1668 | 2025-06-22 10:49:11 | birth | 3 | 83667 | 1017 | 21.156 | 3954.8 |
1667 | 2025-06-22 04:01:47 | birth | 3 | 83667 | 1017 | 17.983 | 4652.6 |
1666 | 2025-06-21 09:00:51 | birth | 3 | 83667 | 1017 | 19.436 | 4304.7 |
1665 | 2025-06-21 03:34:28 | birth | 3 | 83667 | 1017 | 18.076 | 4628.6 |
1664 | 2025-06-20 03:18:19 | birth | 2 | 53800 | 85 | 6.843 | 7862.0 |
1663 | 2025-06-19 22:24:18 | birth | 3 | 83667 | 1017 | 15.986 | 5233.8 |
1662 | 2025-06-16 10:44:56 | birth | 1 | 28756 | 10 | 1.533 | 18758.0 |
1661 | 2025-06-15 23:24:26 | birth | 1 | 28756 | 10 | 3.656 | 7865.4 |
1660 | 2025-06-14 18:19:55 | birth | 1 | 28756 | 10 | 2.250 | 12780.4 |
1659 | 2025-06-10 05:16:35 | birth | 1 | 28756 | 10 | 1.873 | 15352.9 |
1658 | 2025-05-31 21:57:51 | birth | 1 | 28756 | 10 | 2.576 | 11163.0 |
1657 | 2025-05-31 01:10:21 | birth | 1 | 28756 | 10 | 1.390 | 20687.8 |
1656 | 2025-05-27 22:29:54 | birth | 1 | 28756 | 10 | 0.533 | 53951.2 |
1655 | 2025-05-27 18:10:59 | birth | 3 | 83667 | 1017 | 5.533 | 15121.5 |
1654 | 2025-05-24 17:55:04 | birth | 1 | 28756 | 10 | 1.513 | 19005.9 |
1653 | 2025-05-16 12:03:32 | birth | 3 | 83667 | 1017 | 9.890 | 8459.8 |
1652 | 2025-05-16 10:54:33 | birth | 1 | 28756 | 10 | 3.783 | 7601.4 |
1651 | 2025-05-16 10:23:15 | birth | 3 | 83667 | 1017 | 13.516 | 6190.2 |
1650 | 2025-05-16 04:28:55 | birth | 3 | 83667 | 1017 | 18.920 | 4422.1 |
1649 | 2025-05-16 00:09:34 | birth | 1 | 28756 | 10 | 1.640 | 17534.1 |
1648 | 2025-05-15 22:16:05 | birth | 3 | 83667 | 1017 | 19.286 | 4338.2 |
1647 | 2025-05-15 09:22:27 | birth | 3 | 83667 | 1017 | 4.123 | 20292.7 |
1646 | 2025-05-02 12:26:14 | birth | 1 | 28756 | 10 | 4.093 | 7025.7 |
1645 | 2025-05-01 04:21:04 | birth | 1 | 28756 | 10 | 1.046 | 27491.4 |
1644 | 2025-04-29 00:50:09 | birth | 1 | 28756 | 10 | 2.143 | 13418.6 |
1643 | 2025-04-25 06:06:53 | birth | 1 | 28756 | 10 | 0.533 | 53951.2 |
1642 | 2025-04-19 02:34:31 | birth | 2 | 53800 | 85 | 3.330 | 16156.2 |
1641 | 2025-04-17 23:44:16 | birth | 2 | 53800 | 85 | 8.033 | 6697.4 |
1640 | 2025-04-16 02:23:15 | birth | 2 | 53800 | 85 | 7.966 | 6753.7 |
1639 | 2025-04-14 22:43:53 | birth | 1 | 28756 | 10 | 2.330 | 12341.6 |
1638 | 2025-04-14 15:55:26 | birth | 2 | 53800 | 85 | 7.266 | 7404.3 |
1637 | 2025-04-13 06:53:54 | birth | 2 | 53800 | 85 | 1.436 | 37465.2 |
1636 | 2025-04-12 18:38:23 | birth | 1 | 28756 | 10 | 0.516 | 55728.7 |
1635 | 2025-04-03 03:47:11 | birth | 2 | 53800 | 85 | 1.673 | 32157.8 |
1634 | 2025-04-02 08:15:05 | birth | 3 | 83667 | 1017 | 22.486 | 3720.8 |
1633 | 2025-03-31 12:01:13 | birth | 3 | 83667 | 1017 | 19.563 | 4276.8 |
1632 | 2025-03-31 05:39:09 | birth | 1 | 28756 | 10 | 1.173 | 24514.9 |
1631 | 2025-03-30 15:41:41 | birth | 3 | 83667 | 1017 | 4.466 | 18734.2 |
1630 | 2025-03-30 06:32:09 | birth | 3 | 83667 | 1017 | 12.220 | 6846.7 |
1629 | 2025-03-16 15:29:56 | birth | 1 | 28756 | 10 | 2.343 | 12273.2 |
1628 | 2025-03-15 21:55:30 | birth | 1 | 28756 | 10 | 2.406 | 11951.8 |
1627 | 2025-03-15 21:53:20 | birth | 2 | 53800 | 85 | 5.330 | 10093.8 |
1626 | 2025-03-15 18:12:10 | birth | 3 | 83667 | 1017 | 17.186 | 4868.3 |
1625 | 2025-03-15 18:12:09 | birth | 2 | 53800 | 85 | 7.673 | 7011.6 |
1624 | 2025-03-15 18:06:49 | birth | 1 | 28756 | 10 | 0.533 | 53951.2 |
1623 | 2025-03-13 17:38:02 | birth | 1 | 28756 | 10 | 1.186 | 24246.2 |
1622 | 2025-03-12 17:53:22 | birth | 1 | 28756 | 10 | 3.470 | 8287.0 |
1621 | 2025-03-12 17:52:22 | birth | 2 | 53800 | 85 | 8.986 | 5987.1 |
1620 | 2025-03-01 21:08:49 | birth | 1 | 28756 | 10 | 0.936 | 30722.2 |
1619 | 2025-02-27 20:17:58 | birth | 3 | 83667 | 1017 | 18.766 | 4458.4 |
1618 | 2025-02-27 09:36:20 | birth | 3 | 83667 | 1017 | 19.983 | 4186.9 |
1617 | 2025-02-27 08:12:01 | birth | 3 | 83667 | 1017 | 14.110 | 5929.6 |
1616 | 2025-02-27 06:29:47 | birth | 3 | 83667 | 1017 | 15.376 | 5441.4 |
1615 | 2025-02-27 06:29:47 | birth | 2 | 53800 | 85 | 4.283 | 12561.3 |
1614 | 2025-02-27 06:28:14 | birth | 1 | 28756 | 10 | 3.673 | 7829.0 |
1613 | 2025-02-27 02:53:57 | birth | 2 | 53800 | 85 | 7.843 | 6859.6 |
1612 | 2025-02-26 23:33:37 | birth | 2 | 53800 | 85 | 5.860 | 9180.9 |
1611 | 2025-02-26 23:32:37 | birth | 1 | 28756 | 10 | 1.216 | 23648.0 |
1610 | 2025-02-26 03:34:11 | birth | 3 | 83667 | 1017 | 17.360 | 4819.5 |
1609 | 2025-02-25 15:52:11 | birth | 3 | 83667 | 1017 | 3.750 | 22311.2 |
1608 | 2025-02-24 21:28:39 | birth | 1 | 28756 | 10 | 1.560 | 18433.3 |
1607 | 2025-01-31 20:42:35 | birth | 1 | 28756 | 10 | 0.453 | 63479.0 |
1606 | 2025-01-28 12:17:07 | birth | 3 | 83667 | 1017 | 24.140 | 3465.9 |
1605 | 2025-01-28 06:55:17 | birth | 3 | 83667 | 1017 | 20.580 | 4065.5 |
1604 | 2025-01-28 03:33:06 | birth | 3 | 83667 | 1017 | 15.033 | 5565.6 |
1603 | 2025-01-28 03:33:12 | birth | 2 | 53800 | 85 | 6.373 | 8441.9 |
1602 | 2025-01-28 03:25:23 | birth | 1 | 28756 | 10 | 0.906 | 31739.5 |
1601 | 2025-01-27 10:28:44 | birth | 1 | 28756 | 10 | 0.440 | 65354.5 |
1600 | 2025-01-17 19:18:35 | birth | 1 | 28756 | 10 | 3.653 | 7871.9 |
1599 | 2025-01-09 09:56:01 | birth | 1 | 28756 | 10 | 2.703 | 10638.5 |
1598 | 2024-12-29 11:35:24 | birth | 2 | 53800 | 85 | 7.156 | 7518.2 |
1597 | 2024-12-29 05:42:35 | birth | 3 | 83667 | 1017 | 17.080 | 4898.5 |
1596 | 2024-12-29 03:22:45 | birth | 3 | 83667 | 1017 | 15.283 | 5474.5 |
1595 | 2024-12-29 01:15:52 | birth | 3 | 83667 | 1017 | 22.576 | 3706.0 |
1594 | 2024-12-29 01:15:53 | birth | 2 | 53800 | 85 | 10.826 | 4969.5 |
1593 | 2024-12-29 01:01:59 | birth | 1 | 28756 | 10 | 0.436 | 65954.1 |
1592 | 2024-12-28 23:27:11 | birth | 1 | 28756 | 10 | 0.516 | 55728.7 |
1591 | 2024-12-28 04:00:03 | birth | 1 | 28756 | 10 | 1.266 | 22714.1 |
1590 | 2024-12-26 14:38:30 | birth | 1 | 28756 | 10 | 1.156 | 24875.4 |
1589 | 2024-12-10 01:05:29 | birth | 1 | 28756 | 10 | 1.783 | 16127.9 |
1588 | 2024-11-29 02:49:35 | birth | 2 | 53800 | 85 | 7.860 | 6844.8 |
1587 | 2024-11-29 02:05:28 | birth | 3 | 83667 | 1017 | 22.623 | 3698.3 |
1586 | 2024-11-28 21:58:26 | birth | 3 | 83667 | 1017 | 20.093 | 4164.0 |
1585 | 2024-11-28 21:02:17 | birth | 3 | 83667 | 1017 | 14.406 | 5807.8 |
1584 | 2024-11-28 20:48:34 | birth | 3 | 83667 | 1017 | 14.520 | 5762.2 |
1583 | 2024-11-28 20:48:34 | birth | 2 | 53800 | 85 | 5.796 | 9282.3 |
1582 | 2024-11-28 20:48:10 | birth | 1 | 28756 | 10 | 1.783 | 16127.9 |
1581 | 2024-11-27 15:24:17 | birth | 1 | 28756 | 10 | 0.440 | 65354.5 |
1580 | 2024-11-26 10:05:54 | birth | 1 | 28756 | 10 | 2.376 | 12102.7 |
1579 | 2024-11-09 03:05:43 | birth | 1 | 28756 | 10 | 1.016 | 28303.1 |
1578 | 2024-10-30 00:25:01 | birth | 2 | 53800 | 85 | 7.720 | 6968.9 |
1577 | 2024-10-29 22:09:56 | birth | 3 | 83667 | 1017 | 13.456 | 6217.8 |
1576 | 2024-10-29 16:33:24 | birth | 3 | 83667 | 1017 | 18.110 | 4619.9 |
1575 | 2024-10-29 15:29:05 | birth | 3 | 83667 | 1017 | 33.270 | 2514.8 |