History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"labs"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1756 | 2025-10-19 10:32:44 | labs | 1 | 13983 | 32 | 0.313 | 44674.1 |
| 1755 | 2025-10-19 10:32:40 | labs | 1 | 13983 | 32 | 0.563 | 24836.6 |
| 1754 | 2025-10-19 10:32:36 | labs | 1 | 13983 | 32 | 0.500 | 27966.0 |
| 1753 | 2025-10-19 10:32:33 | labs | 1 | 13983 | 32 | 0.486 | 28771.6 |
| 1752 | 2025-10-16 11:50:40 | labs | 2 | 29872 | 485 | 0.890 | 33564.0 |
| 1751 | 2025-10-15 17:33:11 | labs | 1 | 13983 | 32 | 0.266 | 52567.7 |
| 1750 | 2025-10-08 19:47:15 | labs | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1749 | 2025-10-08 10:00:01 | labs | 2 | 29872 | 485 | 0.876 | 34100.5 |
| 1748 | 2025-10-07 01:25:26 | labs | 2 | 29872 | 485 | 0.906 | 32971.3 |
| 1747 | 2025-10-05 22:29:30 | labs | 1 | 13983 | 32 | 0.236 | 59250.0 |
| 1746 | 2025-09-29 11:56:51 | labs | 1 | 13983 | 32 | 0.236 | 59250.0 |
| 1745 | 2025-09-27 11:43:33 | labs | 1 | 13983 | 32 | 0.233 | 60012.9 |
| 1744 | 2025-09-26 19:18:05 | labs | 1 | 13983 | 32 | 0.233 | 60012.9 |
| 1743 | 2025-09-24 22:30:50 | labs | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1742 | 2025-09-19 23:04:25 | labs | 2 | 29872 | 485 | 0.783 | 38150.7 |
| 1741 | 2025-09-18 20:32:03 | labs | 1 | 13983 | 32 | 0.546 | 25609.9 |
| 1740 | 2025-09-16 20:30:15 | labs | 2 | 29872 | 485 | 3.720 | 8030.1 |
| 1739 | 2025-09-15 00:25:12 | labs | 1 | 13983 | 32 | 0.266 | 52567.7 |
| 1738 | 2025-09-14 21:03:40 | labs | 1 | 13983 | 32 | 0.263 | 53167.3 |
| 1737 | 2025-09-14 15:15:45 | labs | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1736 | 2025-09-07 11:28:00 | labs | 2 | 29872 | 485 | 0.813 | 36742.9 |
| 1735 | 2025-09-06 08:44:21 | labs | 2 | 29872 | 485 | 0.780 | 38297.4 |
| 1734 | 2025-09-05 07:59:26 | labs | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1733 | 2025-09-01 04:28:39 | labs | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1732 | 2025-08-31 04:19:08 | labs | 1 | 13983 | 32 | 0.280 | 49939.3 |
| 1731 | 2025-08-29 10:44:16 | labs | 1 | 13983 | 32 | 0.220 | 63559.1 |
| 1730 | 2025-08-23 05:49:13 | labs | 1 | 13983 | 32 | 1.296 | 10789.4 |
| 1729 | 2025-08-19 10:37:18 | labs | 1 | 13983 | 32 | 0.640 | 21848.4 |
| 1728 | 2025-08-09 02:31:09 | labs | 1 | 13983 | 32 | 1.923 | 7271.5 |
| 1727 | 2025-08-05 02:12:49 | labs | 2 | 29872 | 485 | 2.063 | 14479.9 |
| 1726 | 2025-08-03 21:04:14 | labs | 1 | 13983 | 32 | 1.373 | 10184.3 |
| 1725 | 2025-08-01 06:10:05 | labs | 1 | 13983 | 32 | 1.203 | 11623.4 |
| 1724 | 2025-07-31 14:18:02 | labs | 1 | 13983 | 32 | 1.000 | 13983.0 |
| 1723 | 2025-07-31 08:21:26 | labs | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1722 | 2025-07-30 20:06:02 | labs | 1 | 13983 | 32 | 0.466 | 30006.4 |
| 1721 | 2025-07-27 13:02:05 | labs | 1 | 13983 | 32 | 0.266 | 52567.7 |
| 1720 | 2025-07-23 17:59:18 | labs | 1 | 13983 | 32 | 0.546 | 25609.9 |
| 1719 | 2025-07-22 14:05:22 | labs | 1 | 13983 | 32 | 0.280 | 49939.3 |
| 1718 | 2025-07-21 08:19:01 | labs | 1 | 13983 | 32 | 0.263 | 53167.3 |
| 1717 | 2025-07-18 05:35:44 | labs | 1 | 13983 | 32 | 0.300 | 46610.0 |
| 1716 | 2025-07-17 13:55:46 | labs | 1 | 13983 | 32 | 0.670 | 20870.1 |
| 1715 | 2025-07-11 00:03:34 | labs | 2 | 29872 | 485 | 8.686 | 3439.1 |
| 1714 | 2025-07-09 01:16:57 | labs | 1 | 13983 | 32 | 1.050 | 13317.1 |
| 1713 | 2025-07-05 01:19:25 | labs | 2 | 29872 | 485 | 4.143 | 7210.2 |
| 1712 | 2025-07-03 20:29:03 | labs | 1 | 13983 | 32 | 0.970 | 14415.5 |
| 1711 | 2025-07-02 10:36:06 | labs | 2 | 29872 | 485 | 4.500 | 6638.2 |
| 1710 | 2025-07-01 06:00:38 | labs | 1 | 13983 | 32 | 0.263 | 53167.3 |
| 1709 | 2025-07-01 04:43:41 | labs | 1 | 13983 | 32 | 0.266 | 52567.7 |
| 1708 | 2025-06-28 13:53:41 | labs | 1 | 13983 | 32 | 0.450 | 31073.3 |
| 1707 | 2025-06-28 13:32:25 | labs | 1 | 13983 | 32 | 1.156 | 12096.0 |
| 1706 | 2025-06-28 13:29:24 | labs | 1 | 13983 | 32 | 0.983 | 14224.8 |
| 1705 | 2025-06-28 13:09:35 | labs | 1 | 13983 | 32 | 1.156 | 12096.0 |
| 1704 | 2025-06-27 19:50:11 | labs | 1 | 13983 | 32 | 0.453 | 30867.5 |
| 1703 | 2025-06-25 20:49:35 | labs | 1 | 13983 | 32 | 0.483 | 28950.3 |
| 1702 | 2025-06-24 05:57:19 | labs | 1 | 13983 | 32 | 1.076 | 12995.4 |
| 1701 | 2025-06-24 04:34:55 | labs | 1 | 13983 | 32 | 1.703 | 8210.8 |
| 1700 | 2025-06-23 12:11:56 | labs | 1 | 13983 | 32 | 0.216 | 64736.1 |
| 1699 | 2025-06-23 01:05:16 | labs | 1 | 13983 | 32 | 0.673 | 20777.1 |
| 1698 | 2025-06-21 23:00:19 | labs | 1 | 13983 | 32 | 1.046 | 13368.1 |
| 1697 | 2025-06-20 08:43:24 | labs | 1 | 13983 | 32 | 1.170 | 11951.3 |
| 1696 | 2025-06-19 01:12:42 | labs | 1 | 13983 | 32 | 1.610 | 8685.1 |
| 1695 | 2025-06-16 10:43:17 | labs | 1 | 13983 | 32 | 1.703 | 8210.8 |
| 1694 | 2025-06-15 12:41:09 | labs | 1 | 13983 | 32 | 1.110 | 12597.3 |
| 1693 | 2025-06-08 01:30:29 | labs | 1 | 13983 | 32 | 1.626 | 8599.6 |
| 1692 | 2025-06-05 03:39:18 | labs | 1 | 13983 | 32 | 1.830 | 7641.0 |
| 1691 | 2025-06-02 20:35:55 | labs | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1690 | 2025-05-31 04:57:21 | labs | 1 | 13983 | 32 | 0.470 | 29751.1 |
| 1689 | 2025-05-30 06:18:52 | labs | 1 | 13983 | 32 | 1.843 | 7587.1 |
| 1688 | 2025-05-29 07:31:57 | labs | 2 | 29872 | 485 | 5.436 | 5495.2 |
| 1687 | 2025-05-28 05:55:48 | labs | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1686 | 2025-05-23 04:13:38 | labs | 1 | 13983 | 32 | 1.830 | 7641.0 |
| 1685 | 2025-05-20 06:11:02 | labs | 1 | 13983 | 32 | 1.813 | 7712.6 |
| 1684 | 2025-05-19 04:52:51 | labs | 1 | 13983 | 32 | 0.216 | 64736.1 |
| 1683 | 2025-05-18 22:18:48 | labs | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1682 | 2025-05-16 23:50:38 | labs | 1 | 13983 | 32 | 0.500 | 27966.0 |
| 1681 | 2025-05-16 10:57:55 | labs | 1 | 13983 | 32 | 1.373 | 10184.3 |
| 1680 | 2025-05-11 23:26:45 | labs | 1 | 13983 | 32 | 0.873 | 16017.2 |
| 1679 | 2025-05-09 10:02:27 | labs | 1 | 13983 | 32 | 0.263 | 53167.3 |
| 1678 | 2025-05-09 09:47:12 | labs | 1 | 13983 | 32 | 0.220 | 63559.1 |
| 1677 | 2025-05-03 05:22:08 | labs | 1 | 13983 | 32 | 1.360 | 10281.6 |
| 1676 | 2025-05-02 20:29:06 | labs | 1 | 13983 | 32 | 0.236 | 59250.0 |
| 1675 | 2025-04-28 13:06:59 | labs | 1 | 13983 | 32 | 1.220 | 11461.5 |
| 1674 | 2025-04-28 10:48:03 | labs | 1 | 13983 | 32 | 1.250 | 11186.4 |
| 1673 | 2025-04-28 04:33:51 | labs | 1 | 13983 | 32 | 1.186 | 11790.1 |
| 1672 | 2025-04-28 04:19:35 | labs | 1 | 13983 | 32 | 0.470 | 29751.1 |
| 1671 | 2025-04-28 04:06:24 | labs | 1 | 13983 | 32 | 0.390 | 35853.8 |
| 1670 | 2025-04-25 11:57:21 | labs | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1669 | 2025-04-20 05:16:55 | labs | 1 | 13983 | 32 | 0.716 | 19529.3 |
| 1668 | 2025-04-14 10:55:11 | labs | 1 | 13983 | 32 | 0.703 | 19890.5 |
| 1667 | 2025-04-10 23:39:22 | labs | 1 | 13983 | 32 | 1.280 | 10924.2 |
| 1666 | 2025-04-09 01:58:55 | labs | 1 | 13983 | 32 | 0.283 | 49409.9 |
| 1665 | 2025-04-04 17:08:59 | labs | 1 | 13983 | 32 | 0.846 | 16528.4 |
| 1664 | 2025-04-04 12:50:00 | labs | 1 | 13983 | 32 | 1.170 | 11951.3 |
| 1663 | 2025-04-01 20:48:28 | labs | 1 | 13983 | 32 | 0.670 | 20870.1 |
| 1662 | 2025-03-29 06:50:34 | labs | 1 | 13983 | 32 | 1.516 | 9223.6 |
| 1661 | 2025-03-25 07:06:22 | labs | 2 | 29872 | 485 | 6.860 | 4354.5 |
| 1660 | 2025-03-20 07:10:51 | labs | 1 | 13983 | 32 | 0.940 | 14875.5 |
| 1659 | 2025-03-14 21:03:36 | labs | 1 | 13983 | 32 | 1.346 | 10388.6 |
| 1658 | 2025-03-08 09:14:17 | labs | 2 | 29872 | 485 | 5.343 | 5590.9 |
| 1657 | 2025-03-08 05:54:59 | labs | 2 | 29872 | 485 | 1.906 | 15672.6 |