History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"belts"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1608 | 2024-05-07 08:37:02 | belts | 1 | 28756 | 19 | 0.500 | 57512.0 |
1607 | 2024-05-02 13:27:34 | belts | 1 | 28756 | 19 | 0.513 | 56054.6 |
1606 | 2024-04-30 18:35:24 | belts | 1 | 28756 | 19 | 0.516 | 55728.7 |
1605 | 2024-04-27 02:56:14 | belts | 1 | 28756 | 19 | 1.200 | 23963.3 |
1604 | 2024-04-19 02:44:33 | belts | 1 | 28756 | 19 | 0.483 | 59536.2 |
1603 | 2024-04-03 03:24:15 | belts | 1 | 28756 | 19 | 1.186 | 24246.2 |
1602 | 2024-03-31 07:28:56 | belts | 1 | 28756 | 19 | 0.516 | 55728.7 |
1601 | 2024-03-27 03:12:55 | belts | 1 | 28756 | 19 | 1.156 | 24875.4 |
1600 | 2024-03-17 19:52:20 | belts | 2 | 53800 | 274 | 5.830 | 9228.1 |
1599 | 2024-03-08 20:12:40 | belts | 1 | 28756 | 19 | 0.436 | 65954.1 |
1598 | 2024-03-02 18:04:34 | belts | 2 | 53800 | 274 | 3.750 | 14346.7 |
1597 | 2024-03-01 22:08:17 | belts | 2 | 53800 | 274 | 5.373 | 10013.0 |
1596 | 2024-03-01 12:20:14 | belts | 2 | 53800 | 274 | 1.393 | 38621.7 |
1595 | 2024-03-01 04:18:16 | belts | 1 | 28756 | 19 | 0.483 | 59536.2 |
1594 | 2024-02-25 17:59:28 | belts | 1 | 28756 | 19 | 0.436 | 65954.1 |
1593 | 2024-02-21 09:39:44 | belts | 1 | 28756 | 19 | 0.580 | 49579.3 |
1592 | 2024-02-14 16:56:29 | belts | 2 | 53800 | 274 | 1.906 | 28226.7 |
1591 | 2024-01-29 14:53:06 | belts | 1 | 28756 | 19 | 0.986 | 29164.3 |
1590 | 2024-01-25 22:26:13 | belts | 1 | 28756 | 19 | 0.500 | 57512.0 |
1589 | 2024-01-20 09:41:13 | belts | 2 | 53800 | 274 | 1.576 | 34137.1 |
1588 | 2024-01-04 00:14:26 | belts | 1 | 28756 | 19 | 0.500 | 57512.0 |
1587 | 2023-12-10 05:48:25 | belts | 2 | 53800 | 274 | 3.390 | 15870.2 |
1586 | 2023-12-09 07:45:58 | belts | 1 | 28756 | 19 | 0.516 | 55728.7 |
1585 | 2023-12-06 05:14:42 | belts | 2 | 53800 | 274 | 1.440 | 37361.1 |
1584 | 2023-12-05 19:14:56 | belts | 1 | 28756 | 19 | 0.453 | 63479.0 |
1583 | 2023-11-25 14:47:42 | belts | 1 | 28756 | 19 | 0.500 | 57512.0 |
1582 | 2023-11-22 16:18:29 | belts | 2 | 53800 | 274 | 1.420 | 37887.3 |
1581 | 2023-11-18 09:38:48 | belts | 1 | 28756 | 19 | 0.500 | 57512.0 |
1580 | 2023-11-13 09:21:50 | belts | 1 | 28756 | 19 | 0.440 | 65354.5 |
1579 | 2023-11-12 04:25:04 | belts | 1 | 28756 | 19 | 0.486 | 59168.7 |
1578 | 2023-11-11 03:00:36 | belts | 2 | 53800 | 274 | 3.170 | 16971.6 |
1577 | 2023-10-29 21:21:02 | belts | 2 | 53800 | 274 | 1.376 | 39098.8 |
1576 | 2023-10-27 10:37:34 | belts | 1 | 28756 | 19 | 0.486 | 59168.7 |
1575 | 2023-10-25 22:37:47 | belts | 1 | 28756 | 19 | 0.470 | 61183.0 |
1574 | 2023-10-24 14:01:42 | belts | 1 | 28756 | 19 | 0.436 | 65954.1 |
1573 | 2023-10-22 18:12:48 | belts | 1 | 28756 | 19 | 1.046 | 27491.4 |
1572 | 2023-10-21 03:06:02 | belts | 2 | 53800 | 274 | 3.313 | 16239.1 |
1571 | 2023-10-19 20:06:06 | belts | 1 | 28756 | 19 | 0.470 | 61183.0 |
1570 | 2023-10-15 21:18:12 | belts | 2 | 53800 | 274 | 3.186 | 16886.4 |
1569 | 2023-10-13 09:30:58 | belts | 1 | 28756 | 19 | 0.436 | 65954.1 |
1568 | 2023-10-05 15:07:20 | belts | 1 | 28756 | 19 | 0.453 | 63479.0 |
1567 | 2023-09-19 13:44:19 | belts | 2 | 53800 | 274 | 1.406 | 38264.6 |
1566 | 2023-09-18 19:21:33 | belts | 1 | 28756 | 19 | 0.483 | 59536.2 |
1565 | 2023-09-15 10:10:49 | belts | 2 | 53800 | 274 | 1.750 | 30742.9 |
1564 | 2023-09-14 03:30:48 | belts | 1 | 28756 | 19 | 0.466 | 61708.2 |
1563 | 2023-09-10 15:21:23 | belts | 1 | 28756 | 19 | 0.483 | 59536.2 |
1562 | 2023-08-26 22:36:40 | belts | 1 | 28756 | 19 | 0.453 | 63479.0 |
1561 | 2023-08-26 20:23:07 | belts | 2 | 53800 | 274 | 1.373 | 39184.3 |
1560 | 2023-08-22 19:34:29 | belts | 2 | 53800 | 274 | 1.360 | 39558.8 |
1559 | 2023-08-22 12:49:06 | belts | 1 | 28756 | 19 | 0.500 | 57512.0 |
1558 | 2023-08-22 01:10:08 | belts | 1 | 28756 | 19 | 0.436 | 65954.1 |
1557 | 2023-05-26 21:11:37 | belts | 1 | 28756 | 19 | 0.436 | 65954.1 |
1556 | 2023-05-24 00:16:34 | belts | 1 | 28756 | 19 | 0.440 | 65354.5 |
1555 | 2023-05-13 01:05:37 | belts | 2 | 53800 | 274 | 1.360 | 39558.8 |
1554 | 2023-05-08 13:37:38 | belts | 2 | 53800 | 274 | 1.343 | 40059.6 |
1553 | 2023-03-31 13:53:24 | belts | 1 | 28756 | 19 | 0.453 | 63479.0 |
1552 | 2023-03-18 21:26:12 | belts | 1 | 28756 | 19 | 0.436 | 65954.1 |
1551 | 2023-02-24 06:12:40 | belts | 1 | 28756 | 19 | 0.436 | 65954.1 |
1550 | 2023-02-20 22:16:43 | belts | 1 | 28756 | 19 | 0.420 | 68466.7 |
1549 | 2023-02-17 17:31:02 | belts | 2 | 53800 | 274 | 1.513 | 35558.5 |
1548 | 2023-01-06 06:40:03 | belts | 1 | 28756 | 19 | 0.423 | 67981.1 |
1547 | 2022-11-29 04:10:22 | belts | 2 | 53800 | 274 | 1.360 | 39558.8 |
1546 | 2022-11-25 18:58:54 | belts | 1 | 28756 | 19 | 0.436 | 65954.1 |
1545 | 2022-11-18 01:52:03 | belts | 1 | 28756 | 19 | 0.486 | 59168.7 |
1544 | 2022-11-07 03:46:46 | belts | 2 | 53800 | 274 | 1.390 | 38705.0 |
1543 | 2022-10-31 18:26:21 | belts | 2 | 53800 | 274 | 1.563 | 34421.0 |
1542 | 2022-10-01 10:42:39 | belts | 1 | 28756 | 19 | 0.500 | 57512.0 |
1541 | 2022-09-29 10:36:33 | belts | 2 | 53800 | 274 | 1.440 | 37361.1 |
1540 | 2022-09-01 17:11:37 | belts | 1 | 28756 | 19 | 0.453 | 63479.0 |
1539 | 2022-08-31 14:56:21 | belts | 1 | 28756 | 19 | 0.516 | 55728.7 |
1538 | 2022-08-15 15:55:49 | belts | 1 | 28756 | 19 | 0.453 | 63479.0 |
1537 | 2022-08-11 05:53:47 | belts | 1 | 28756 | 19 | 0.486 | 59168.7 |
1536 | 2022-08-06 05:15:16 | belts | 1 | 28756 | 19 | 0.483 | 59536.2 |
1535 | 2022-07-07 18:38:30 | belts | 2 | 53800 | 274 | 1.373 | 39184.3 |
1534 | 2022-06-12 09:22:22 | belts | 2 | 53800 | 274 | 1.403 | 38346.4 |
1533 | 2022-06-07 10:55:59 | belts | 1 | 28756 | 19 | 0.436 | 65954.1 |
1532 | 2022-05-14 21:58:29 | belts | 1 | 28756 | 19 | 0.436 | 65954.1 |
1531 | 2022-05-08 18:16:36 | belts | 1 | 28756 | 19 | 0.453 | 63479.0 |
1530 | 2022-05-08 12:49:44 | belts | 2 | 53800 | 274 | 1.546 | 34799.5 |
1529 | 2022-05-01 22:21:22 | belts | 2 | 53800 | 274 | 1.516 | 35488.1 |
1528 | 2022-04-25 14:21:48 | belts | 2 | 53800 | 274 | 1.546 | 34799.5 |
1527 | 2022-04-08 10:52:50 | belts | 1 | 28756 | 19 | 0.670 | 42919.4 |
1526 | 2022-04-07 18:20:24 | belts | 1 | 28756 | 19 | 0.626 | 45936.1 |
1525 | 2022-04-07 02:47:46 | belts | 1 | 28756 | 19 | 0.546 | 52666.7 |
1524 | 2022-04-06 07:38:26 | belts | 1 | 28756 | 19 | 0.436 | 65954.1 |
1523 | 2022-04-05 21:54:50 | belts | 1 | 28756 | 19 | 0.533 | 53951.2 |
1522 | 2022-04-05 01:12:41 | belts | 1 | 28756 | 19 | 0.580 | 49579.3 |
1521 | 2022-04-04 12:29:08 | belts | 1 | 28756 | 19 | 0.500 | 57512.0 |
1520 | 2022-04-03 20:38:17 | belts | 1 | 28756 | 19 | 0.513 | 56054.6 |
1519 | 2022-04-02 09:08:49 | belts | 1 | 28756 | 19 | 0.500 | 57512.0 |
1518 | 2022-04-01 17:54:50 | belts | 1 | 28756 | 19 | 0.440 | 65354.5 |
1517 | 2022-04-01 02:38:43 | belts | 1 | 28756 | 19 | 0.516 | 55728.7 |
1516 | 2022-03-25 05:55:00 | belts | 1 | 28756 | 19 | 0.486 | 59168.7 |
1515 | 2022-03-24 15:23:47 | belts | 1 | 28756 | 19 | 0.670 | 42919.4 |
1514 | 2022-03-23 14:56:54 | belts | 1 | 28756 | 19 | 0.656 | 43835.4 |
1513 | 2022-03-23 02:25:02 | belts | 1 | 28756 | 19 | 0.453 | 63479.0 |
1512 | 2022-03-22 17:06:19 | belts | 1 | 28756 | 19 | 0.750 | 38341.3 |
1511 | 2022-03-20 07:16:50 | belts | 2 | 53800 | 274 | 1.593 | 33772.8 |
1510 | 2022-03-19 18:50:39 | belts | 1 | 28756 | 19 | 0.453 | 63479.0 |
1509 | 2022-03-18 23:28:12 | belts | 1 | 28756 | 19 | 0.486 | 59168.7 |