History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"lows"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1580 | 2024-04-27 09:53:58 | lows | 1 | 13983 | 32 | 0.280 | 49939.3 |
1579 | 2024-04-18 06:46:58 | lows | 1 | 13983 | 32 | 0.560 | 24969.6 |
1578 | 2024-04-02 23:49:54 | lows | 2 | 29872 | 474 | 3.156 | 9465.1 |
1577 | 2024-04-02 23:45:06 | lows | 1 | 13983 | 32 | 0.873 | 16017.2 |
1576 | 2024-04-01 17:20:51 | lows | 2 | 29872 | 474 | 3.156 | 9465.1 |
1575 | 2024-04-01 16:36:46 | lows | 1 | 13983 | 32 | 0.563 | 24836.6 |
1574 | 2024-03-31 00:23:34 | lows | 1 | 13983 | 32 | 0.560 | 24969.6 |
1573 | 2024-03-28 02:23:58 | lows | 1 | 13983 | 32 | 0.266 | 52567.7 |
1572 | 2024-03-26 19:33:21 | lows | 1 | 13983 | 32 | 0.860 | 16259.3 |
1571 | 2024-03-03 20:40:28 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1570 | 2024-03-02 12:39:45 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1569 | 2024-03-01 21:38:41 | lows | 1 | 13983 | 32 | 0.263 | 53167.3 |
1568 | 2024-02-29 22:52:24 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1567 | 2024-02-25 16:26:19 | lows | 1 | 13983 | 32 | 0.516 | 27098.8 |
1566 | 2024-01-28 16:47:03 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1565 | 2024-01-25 19:15:25 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1564 | 2024-01-04 08:31:19 | lows | 2 | 29872 | 474 | 0.936 | 31914.5 |
1563 | 2023-12-09 01:15:38 | lows | 1 | 13983 | 32 | 0.233 | 60012.9 |
1562 | 2023-11-27 22:49:59 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1561 | 2023-11-27 17:50:31 | lows | 1 | 13983 | 32 | 0.233 | 60012.9 |
1560 | 2023-11-26 01:31:31 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1559 | 2023-11-24 09:38:28 | lows | 2 | 29872 | 474 | 0.830 | 35990.4 |
1558 | 2023-11-14 05:27:38 | lows | 1 | 13983 | 32 | 0.236 | 59250.0 |
1557 | 2023-11-13 14:54:30 | lows | 2 | 29872 | 474 | 0.763 | 39150.7 |
1556 | 2023-11-09 17:53:04 | lows | 2 | 29872 | 474 | 0.750 | 39829.3 |
1555 | 2023-11-07 08:21:50 | lows | 1 | 13983 | 32 | 0.233 | 60012.9 |
1554 | 2023-10-31 21:57:28 | lows | 1 | 13983 | 32 | 0.233 | 60012.9 |
1553 | 2023-10-27 09:23:23 | lows | 2 | 29872 | 474 | 0.860 | 34734.9 |
1552 | 2023-10-26 18:47:49 | lows | 1 | 13983 | 32 | 0.233 | 60012.9 |
1551 | 2023-10-24 11:20:33 | lows | 1 | 13983 | 32 | 0.216 | 64736.1 |
1550 | 2023-10-19 20:13:16 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1549 | 2023-10-17 02:04:54 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1548 | 2023-10-11 06:25:49 | lows | 1 | 13983 | 32 | 0.236 | 59250.0 |
1547 | 2023-10-04 00:41:02 | lows | 1 | 13983 | 32 | 0.203 | 68881.8 |
1546 | 2023-09-23 16:24:12 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1545 | 2023-09-22 18:58:08 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1544 | 2023-09-12 15:13:32 | lows | 1 | 13983 | 32 | 0.203 | 68881.8 |
1543 | 2023-07-23 15:49:04 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1542 | 2023-07-21 09:17:06 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1541 | 2023-07-15 19:56:21 | lows | 1 | 13983 | 32 | 0.216 | 64736.1 |
1540 | 2023-07-15 03:16:58 | lows | 1 | 13983 | 32 | 0.266 | 52567.7 |
1539 | 2023-06-27 12:31:35 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1538 | 2023-06-04 20:56:31 | lows | 1 | 13983 | 32 | 0.216 | 64736.1 |
1537 | 2023-05-05 17:15:25 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1536 | 2023-04-23 20:22:00 | lows | 1 | 13983 | 32 | 0.500 | 27966.0 |
1535 | 2023-04-16 06:58:40 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1534 | 2023-04-07 11:46:02 | lows | 1 | 13983 | 32 | 0.233 | 60012.9 |
1533 | 2023-04-03 18:12:53 | lows | 1 | 13983 | 32 | 0.233 | 60012.9 |
1532 | 2023-03-15 03:23:18 | lows | 1 | 13983 | 32 | 0.216 | 64736.1 |
1531 | 2023-02-22 10:22:01 | lows | 1 | 13983 | 32 | 0.236 | 59250.0 |
1530 | 2023-02-14 00:44:35 | lows | 1 | 13983 | 32 | 0.236 | 59250.0 |
1529 | 2023-01-21 02:30:43 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1528 | 2023-01-02 01:55:00 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1527 | 2022-12-25 19:54:00 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1526 | 2022-12-10 18:28:15 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1525 | 2022-12-07 00:12:40 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1524 | 2022-11-17 23:00:16 | lows | 1 | 13983 | 32 | 0.216 | 64736.1 |
1523 | 2022-10-02 13:08:08 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1522 | 2022-09-20 03:47:30 | lows | 1 | 13983 | 32 | 0.203 | 68881.8 |
1521 | 2022-09-13 11:18:50 | lows | 1 | 13983 | 32 | 0.340 | 41126.5 |
1520 | 2022-09-11 12:36:02 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1519 | 2022-09-07 09:06:16 | lows | 1 | 13983 | 32 | 0.233 | 60012.9 |
1518 | 2022-08-31 22:50:06 | lows | 1 | 13983 | 32 | 0.236 | 59250.0 |
1517 | 2022-08-19 15:27:19 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1516 | 2022-08-15 21:55:54 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1515 | 2022-08-14 22:22:58 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1514 | 2022-08-13 09:46:57 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1513 | 2022-08-11 01:00:53 | lows | 1 | 13983 | 32 | 0.216 | 64736.1 |
1512 | 2022-07-30 08:16:47 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1511 | 2022-07-29 06:34:13 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1510 | 2022-07-17 04:35:52 | lows | 1 | 13983 | 32 | 0.216 | 64736.1 |
1509 | 2022-07-10 10:31:34 | lows | 1 | 13983 | 32 | 0.203 | 68881.8 |
1508 | 2022-07-02 19:47:58 | lows | 1 | 13983 | 32 | 0.216 | 64736.1 |
1507 | 2022-06-28 20:08:46 | lows | 1 | 13983 | 32 | 0.236 | 59250.0 |
1506 | 2022-06-15 21:53:01 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1505 | 2022-06-02 00:45:49 | lows | 1 | 13983 | 32 | 0.266 | 52567.7 |
1504 | 2022-05-30 04:20:55 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1503 | 2022-05-29 20:22:42 | lows | 1 | 13983 | 32 | 0.216 | 64736.1 |
1502 | 2022-05-11 10:52:01 | lows | 1 | 13983 | 32 | 0.376 | 37188.8 |
1501 | 2022-04-11 12:33:10 | lows | 1 | 13983 | 32 | 0.326 | 42892.6 |
1500 | 2022-03-29 02:29:52 | lows | 1 | 13983 | 32 | 0.326 | 42892.6 |
1499 | 2022-03-26 22:46:42 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1498 | 2022-03-23 17:51:21 | lows | 1 | 13983 | 32 | 0.263 | 53167.3 |
1497 | 2022-02-25 10:45:09 | lows | 1 | 13983 | 32 | 0.266 | 52567.7 |
1496 | 2022-02-13 05:33:14 | lows | 1 | 13983 | 32 | 0.220 | 63559.1 |
1495 | 2021-12-28 14:36:41 | lows | 1 | 13983 | 32 | 0.296 | 47239.9 |
1494 | 2021-12-11 06:12:14 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1493 | 2021-12-02 20:03:09 | lows | 1 | 13983 | 32 | 0.266 | 52567.7 |
1492 | 2021-12-01 20:45:55 | lows | 1 | 13983 | 32 | 0.233 | 60012.9 |
1491 | 2021-11-30 22:59:57 | lows | 1 | 13983 | 32 | 0.263 | 53167.3 |
1490 | 2021-11-29 19:33:45 | lows | 1 | 13983 | 32 | 0.453 | 30867.5 |
1489 | 2021-11-20 14:16:09 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1488 | 2021-11-01 15:52:41 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1487 | 2021-10-31 06:09:18 | lows | 1 | 13983 | 32 | 0.233 | 60012.9 |
1486 | 2021-09-21 19:22:19 | lows | 1 | 13983 | 32 | 0.233 | 60012.9 |
1485 | 2021-08-21 00:19:12 | lows | 1 | 13983 | 32 | 0.216 | 64736.1 |
1484 | 2021-08-20 01:40:06 | lows | 1 | 13983 | 32 | 0.233 | 60012.9 |
1483 | 2021-08-17 21:52:33 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1482 | 2021-06-13 21:25:41 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |
1481 | 2021-06-08 02:46:18 | lows | 1 | 13983 | 32 | 0.250 | 55932.0 |