History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"bits"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1649 | 2024-04-23 02:08:54 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 1648 | 2024-04-21 10:24:36 | bits | 1 | 13983 | 36 | 0.783 | 17858.2 |
| 1647 | 2024-04-18 15:03:36 | bits | 2 | 29872 | 529 | 3.140 | 9513.4 |
| 1646 | 2024-04-18 15:00:30 | bits | 1 | 13983 | 36 | 0.266 | 52567.7 |
| 1645 | 2024-04-10 01:44:30 | bits | 1 | 13983 | 36 | 0.263 | 53167.3 |
| 1644 | 2024-04-10 01:43:39 | bits | 1 | 13983 | 36 | 0.390 | 35853.8 |
| 1643 | 2024-04-10 00:52:56 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1642 | 2024-04-09 12:04:52 | bits | 1 | 13983 | 36 | 0.846 | 16528.4 |
| 1641 | 2024-04-01 17:35:22 | bits | 2 | 29872 | 529 | 1.016 | 29401.6 |
| 1640 | 2024-04-01 16:25:15 | bits | 1 | 13983 | 36 | 0.780 | 17926.9 |
| 1639 | 2024-03-26 23:33:07 | bits | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 1638 | 2024-03-19 04:15:45 | bits | 1 | 13983 | 36 | 0.813 | 17199.3 |
| 1637 | 2024-03-02 12:40:01 | bits | 1 | 13983 | 36 | 0.826 | 16928.6 |
| 1636 | 2024-03-01 10:42:29 | bits | 1 | 13983 | 36 | 0.376 | 37188.8 |
| 1635 | 2024-02-25 20:53:26 | bits | 2 | 29872 | 529 | 0.966 | 30923.4 |
| 1634 | 2024-02-25 20:53:15 | bits | 1 | 13983 | 36 | 0.296 | 47239.9 |
| 1633 | 2024-02-18 00:14:22 | bits | 1 | 13983 | 36 | 0.546 | 25609.9 |
| 1632 | 2024-01-26 18:08:49 | bits | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 1631 | 2024-01-18 13:09:28 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1630 | 2024-01-06 07:21:03 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 1629 | 2024-01-05 01:09:23 | bits | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 1628 | 2023-12-28 10:55:54 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 1627 | 2023-12-10 12:24:05 | bits | 2 | 29872 | 529 | 0.923 | 32364.0 |
| 1626 | 2023-11-24 11:23:58 | bits | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 1625 | 2023-11-22 00:07:24 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 1624 | 2023-11-19 15:07:17 | bits | 2 | 29872 | 529 | 0.750 | 39829.3 |
| 1623 | 2023-11-11 08:49:38 | bits | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 1622 | 2023-11-08 23:08:19 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1621 | 2023-11-05 17:49:04 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1620 | 2023-11-03 00:33:05 | bits | 2 | 29872 | 529 | 0.750 | 39829.3 |
| 1619 | 2023-11-02 07:57:24 | bits | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 1618 | 2023-11-02 06:50:15 | bits | 1 | 13983 | 36 | 0.280 | 49939.3 |
| 1617 | 2023-10-29 04:02:04 | bits | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 1616 | 2023-10-26 03:11:27 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1615 | 2023-10-22 14:06:38 | bits | 2 | 29872 | 529 | 0.983 | 30388.6 |
| 1614 | 2023-10-20 10:50:21 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1613 | 2023-10-17 00:47:10 | bits | 1 | 13983 | 36 | 0.236 | 59250.0 |
| 1612 | 2023-10-11 09:33:52 | bits | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 1611 | 2023-10-05 00:13:52 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 1610 | 2023-09-25 07:50:35 | bits | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 1609 | 2023-09-22 16:11:12 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 1608 | 2023-09-22 02:59:36 | bits | 1 | 13983 | 36 | 0.203 | 68881.8 |
| 1607 | 2023-09-12 02:04:07 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1606 | 2023-09-03 04:21:35 | bits | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 1605 | 2023-08-22 16:33:15 | bits | 1 | 13983 | 36 | 0.263 | 53167.3 |
| 1604 | 2023-08-08 09:51:06 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1603 | 2023-06-21 06:38:54 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1602 | 2023-05-23 19:05:38 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1601 | 2023-03-26 23:16:58 | bits | 1 | 13983 | 36 | 0.296 | 47239.9 |
| 1600 | 2023-03-19 00:20:19 | bits | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 1599 | 2023-03-18 23:49:35 | bits | 1 | 13983 | 36 | 0.236 | 59250.0 |
| 1598 | 2023-01-04 22:34:52 | bits | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 1597 | 2022-12-17 03:57:45 | bits | 1 | 13983 | 36 | 0.200 | 69915.0 |
| 1596 | 2022-11-25 03:36:34 | bits | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 1595 | 2022-11-24 16:41:20 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1594 | 2022-11-21 09:25:16 | bits | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 1593 | 2022-11-19 15:15:22 | bits | 1 | 13983 | 36 | 0.236 | 59250.0 |
| 1592 | 2022-11-18 15:41:20 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1591 | 2022-10-03 12:35:49 | bits | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 1590 | 2022-09-11 18:54:43 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1589 | 2022-09-06 17:58:53 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 1588 | 2022-09-06 09:36:38 | bits | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 1587 | 2022-09-03 11:44:02 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1586 | 2022-09-03 10:01:24 | bits | 1 | 13983 | 36 | 0.203 | 68881.8 |
| 1585 | 2022-08-31 00:35:30 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1584 | 2022-08-25 21:38:29 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 1583 | 2022-08-18 07:18:58 | bits | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 1582 | 2022-08-17 11:48:28 | bits | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 1581 | 2022-08-10 12:35:29 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1580 | 2022-08-09 05:41:36 | bits | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 1579 | 2022-08-06 15:25:01 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1578 | 2022-07-29 20:34:04 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1577 | 2022-07-28 13:28:43 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1576 | 2022-07-22 01:14:33 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 1575 | 2022-07-03 03:54:53 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1574 | 2022-06-16 04:06:12 | bits | 1 | 13983 | 36 | 0.236 | 59250.0 |
| 1573 | 2022-06-15 14:42:08 | bits | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 1572 | 2022-06-08 16:07:50 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 1571 | 2022-06-06 11:22:39 | bits | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 1570 | 2022-06-01 18:59:37 | bits | 1 | 13983 | 36 | 0.203 | 68881.8 |
| 1569 | 2022-05-28 10:58:32 | bits | 1 | 13983 | 36 | 0.203 | 68881.8 |
| 1568 | 2022-05-22 00:48:57 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1567 | 2022-05-11 20:08:02 | bits | 1 | 13983 | 36 | 0.453 | 30867.5 |
| 1566 | 2022-05-01 23:45:12 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1565 | 2022-05-01 04:17:01 | bits | 1 | 13983 | 36 | 0.236 | 59250.0 |
| 1564 | 2022-04-30 10:13:18 | bits | 1 | 13983 | 36 | 0.236 | 59250.0 |
| 1563 | 2022-04-29 01:15:22 | bits | 1 | 13983 | 36 | 0.373 | 37487.9 |
| 1562 | 2022-04-28 10:26:05 | bits | 1 | 13983 | 36 | 0.296 | 47239.9 |
| 1561 | 2022-03-19 06:14:23 | bits | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 1560 | 2022-02-27 01:52:06 | bits | 1 | 13983 | 36 | 0.203 | 68881.8 |
| 1559 | 2022-02-20 11:57:04 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 1558 | 2022-02-11 18:48:16 | bits | 1 | 13983 | 36 | 0.296 | 47239.9 |
| 1557 | 2022-02-07 14:11:15 | bits | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 1556 | 2022-02-06 18:43:42 | bits | 1 | 13983 | 36 | 0.203 | 68881.8 |
| 1555 | 2022-02-05 12:03:27 | bits | 1 | 13983 | 36 | 0.516 | 27098.8 |
| 1554 | 2022-02-04 18:56:49 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1553 | 2022-02-04 05:35:22 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 1552 | 2022-02-03 17:31:22 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 1551 | 2022-02-03 10:40:28 | bits | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 1550 | 2022-02-03 05:15:23 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |