History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"paris"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1523 | 2026-01-21 03:48:34 | paris | 2 | 53800 | 367 | 1.920 | 28020.8 |
| 1522 | 2026-01-21 03:48:20 | paris | 2 | 53800 | 367 | 4.123 | 13048.8 |
| 1521 | 2026-01-18 23:51:55 | paris | 2 | 53800 | 367 | 4.533 | 11868.5 |
| 1520 | 2026-01-16 08:27:49 | paris | 2 | 53800 | 367 | 1.610 | 33416.1 |
| 1519 | 2026-01-16 08:27:24 | paris | 2 | 53800 | 367 | 1.813 | 29674.6 |
| 1518 | 2026-01-09 00:54:32 | paris | 2 | 53800 | 367 | 1.640 | 32804.9 |
| 1517 | 2026-01-08 12:41:16 | paris | 1 | 28756 | 19 | 1.046 | 27491.4 |
| 1516 | 2026-01-07 22:37:15 | paris | 2 | 53800 | 367 | 1.470 | 36598.6 |
| 1515 | 2026-01-04 21:54:34 | paris | 2 | 53800 | 367 | 1.563 | 34421.0 |
| 1514 | 2026-01-03 11:57:32 | paris | 1 | 28756 | 19 | 1.080 | 26625.9 |
| 1513 | 2026-01-03 00:35:48 | paris | 2 | 53800 | 367 | 1.750 | 30742.9 |
| 1512 | 2026-01-02 03:34:12 | paris | 2 | 53800 | 367 | 1.810 | 29723.8 |
| 1511 | 2025-12-30 08:50:26 | paris | 1 | 28756 | 19 | 0.513 | 56054.6 |
| 1510 | 2025-12-25 04:41:59 | paris | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1509 | 2025-12-24 23:22:02 | paris | 2 | 53800 | 367 | 1.513 | 35558.5 |
| 1508 | 2025-12-24 21:32:07 | paris | 2 | 53800 | 367 | 1.733 | 31044.4 |
| 1507 | 2025-12-24 20:48:02 | paris | 2 | 53800 | 367 | 1.640 | 32804.9 |
| 1506 | 2025-12-24 20:22:38 | paris | 2 | 53800 | 367 | 1.660 | 32409.6 |
| 1505 | 2025-12-24 19:30:19 | paris | 2 | 53800 | 367 | 2.156 | 24953.6 |
| 1504 | 2025-12-24 17:36:02 | paris | 2 | 53800 | 367 | 4.016 | 13396.4 |
| 1503 | 2025-12-24 09:33:51 | paris | 2 | 53800 | 367 | 2.733 | 19685.3 |
| 1502 | 2025-12-24 06:33:18 | paris | 1 | 28756 | 19 | 0.593 | 48492.4 |
| 1501 | 2025-12-24 04:54:27 | paris | 1 | 28756 | 19 | 0.470 | 61183.0 |
| 1500 | 2025-12-23 20:49:51 | paris | 1 | 28756 | 19 | 0.563 | 51076.4 |
| 1499 | 2025-12-20 09:34:28 | paris | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 1498 | 2025-12-19 19:32:30 | paris | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 1497 | 2025-12-18 13:45:28 | paris | 1 | 28756 | 19 | 0.533 | 53951.2 |
| 1496 | 2025-12-11 19:09:58 | paris | 2 | 53800 | 367 | 4.406 | 12210.6 |
| 1495 | 2025-12-08 17:36:06 | paris | 1 | 28756 | 19 | 0.470 | 61183.0 |
| 1494 | 2025-12-03 01:14:46 | paris | 1 | 28756 | 19 | 0.533 | 53951.2 |
| 1493 | 2025-12-02 08:11:48 | paris | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 1492 | 2025-11-25 12:21:24 | paris | 2 | 53800 | 367 | 1.670 | 32215.6 |
| 1491 | 2025-11-24 17:52:49 | paris | 1 | 28756 | 19 | 0.466 | 61708.2 |
| 1490 | 2025-11-19 08:04:11 | paris | 1 | 28756 | 19 | 0.470 | 61183.0 |
| 1489 | 2025-11-19 07:59:21 | paris | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1488 | 2025-11-19 05:42:01 | paris | 1 | 28756 | 19 | 0.470 | 61183.0 |
| 1487 | 2025-11-16 00:35:26 | paris | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1486 | 2025-11-15 10:08:14 | paris | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 1485 | 2025-11-15 09:48:41 | paris | 1 | 28756 | 19 | 0.560 | 51350.0 |
| 1484 | 2025-11-15 03:26:23 | paris | 1 | 28756 | 19 | 0.923 | 31154.9 |
| 1483 | 2025-11-15 02:34:15 | paris | 1 | 28756 | 19 | 0.533 | 53951.2 |
| 1482 | 2025-11-11 18:46:50 | paris | 1 | 28756 | 19 | 0.466 | 61708.2 |
| 1481 | 2025-11-11 14:14:03 | paris | 1 | 28756 | 19 | 0.533 | 53951.2 |
| 1480 | 2025-11-02 20:56:05 | paris | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1479 | 2025-11-02 20:55:51 | paris | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1478 | 2025-11-02 06:24:31 | paris | 2 | 53800 | 367 | 1.440 | 37361.1 |
| 1477 | 2025-10-30 21:39:13 | paris | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1476 | 2025-10-29 22:33:22 | paris | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 1475 | 2025-10-25 08:00:07 | paris | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1474 | 2025-10-25 06:22:13 | paris | 1 | 28756 | 19 | 1.063 | 27051.7 |
| 1473 | 2025-10-23 08:46:28 | paris | 1 | 28756 | 19 | 1.596 | 18017.5 |
| 1472 | 2025-10-03 06:42:30 | paris | 1 | 28756 | 19 | 0.513 | 56054.6 |
| 1471 | 2025-09-29 00:03:00 | paris | 1 | 28756 | 19 | 0.533 | 53951.2 |
| 1470 | 2025-09-22 23:26:59 | paris | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 1469 | 2025-09-13 14:29:09 | paris | 1 | 28756 | 19 | 0.466 | 61708.2 |
| 1468 | 2025-09-06 15:56:48 | paris | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1467 | 2025-09-03 09:30:36 | paris | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1466 | 2025-08-31 00:33:37 | paris | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 1465 | 2025-08-27 14:15:39 | paris | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1464 | 2025-08-27 13:17:01 | paris | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1463 | 2025-08-26 21:50:33 | paris | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 1462 | 2025-08-19 04:15:43 | paris | 1 | 28756 | 19 | 0.796 | 36125.6 |
| 1461 | 2025-08-09 16:02:54 | paris | 1 | 28756 | 19 | 2.936 | 9794.3 |
| 1460 | 2025-08-07 14:03:18 | paris | 2 | 53800 | 367 | 3.936 | 13668.7 |
| 1459 | 2025-08-05 19:03:27 | paris | 2 | 53800 | 367 | 10.250 | 5248.8 |
| 1458 | 2025-08-05 15:57:07 | paris | 2 | 53800 | 367 | 4.436 | 12128.0 |
| 1457 | 2025-08-04 11:14:26 | paris | 1 | 28756 | 19 | 1.546 | 18600.3 |
| 1456 | 2025-08-04 02:01:07 | paris | 2 | 53800 | 367 | 1.610 | 33416.1 |
| 1455 | 2025-08-03 00:01:39 | paris | 2 | 53800 | 367 | 8.440 | 6374.4 |
| 1454 | 2025-08-01 05:44:02 | paris | 1 | 28756 | 19 | 2.546 | 11294.6 |
| 1453 | 2025-07-31 15:11:02 | paris | 1 | 28756 | 19 | 2.626 | 10950.5 |
| 1452 | 2025-07-27 13:40:38 | paris | 1 | 28756 | 19 | 0.876 | 32826.5 |
| 1451 | 2025-07-17 12:15:17 | paris | 1 | 28756 | 19 | 1.953 | 14724.0 |
| 1450 | 2025-07-17 05:27:53 | paris | 1 | 28756 | 19 | 1.033 | 27837.4 |
| 1449 | 2025-07-15 23:09:17 | paris | 1 | 28756 | 19 | 0.576 | 49923.6 |
| 1448 | 2025-07-08 14:39:00 | paris | 1 | 28756 | 19 | 1.126 | 25538.2 |
| 1447 | 2025-07-02 10:33:22 | paris | 1 | 28756 | 19 | 2.486 | 11567.2 |
| 1446 | 2025-06-30 03:12:09 | paris | 1 | 28756 | 19 | 2.923 | 9837.8 |
| 1445 | 2025-06-28 05:27:30 | paris | 1 | 28756 | 19 | 2.080 | 13825.0 |
| 1444 | 2025-06-23 16:23:24 | paris | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1443 | 2025-06-21 18:48:11 | paris | 2 | 53800 | 367 | 1.703 | 31591.3 |
| 1442 | 2025-06-21 12:23:06 | paris | 1 | 28756 | 19 | 3.470 | 8287.0 |
| 1441 | 2025-06-18 11:15:37 | paris | 2 | 53800 | 367 | 6.813 | 7896.7 |
| 1440 | 2025-06-18 05:40:01 | paris | 2 | 53800 | 367 | 9.656 | 5571.7 |
| 1439 | 2025-06-16 22:48:13 | paris | 2 | 53800 | 367 | 3.966 | 13565.3 |
| 1438 | 2025-06-16 04:23:05 | paris | 1 | 28756 | 19 | 1.533 | 18758.0 |
| 1437 | 2025-06-11 03:18:23 | paris | 1 | 28756 | 19 | 1.280 | 22465.6 |
| 1436 | 2025-06-08 14:09:27 | paris | 1 | 28756 | 19 | 1.140 | 25224.6 |
| 1435 | 2025-06-07 00:12:18 | paris | 2 | 53800 | 367 | 10.500 | 5123.8 |
| 1434 | 2025-06-06 11:54:27 | paris | 1 | 28756 | 19 | 1.296 | 22188.3 |
| 1433 | 2025-06-04 19:50:53 | paris | 1 | 28756 | 19 | 3.673 | 7829.0 |
| 1432 | 2025-06-04 15:15:20 | paris | 1 | 28756 | 19 | 1.440 | 19969.4 |
| 1431 | 2025-06-01 09:16:07 | paris | 1 | 28756 | 19 | 2.283 | 12595.7 |
| 1430 | 2025-05-30 11:53:05 | paris | 1 | 28756 | 19 | 1.843 | 15602.8 |
| 1429 | 2025-05-30 09:16:13 | paris | 1 | 28756 | 19 | 1.016 | 28303.1 |
| 1428 | 2025-05-29 05:08:15 | paris | 1 | 28756 | 19 | 2.596 | 11077.0 |
| 1427 | 2025-05-26 13:12:31 | paris | 1 | 28756 | 19 | 2.563 | 11219.7 |
| 1426 | 2025-05-23 14:19:04 | paris | 1 | 28756 | 19 | 1.970 | 14597.0 |
| 1425 | 2025-05-17 00:40:06 | paris | 2 | 53800 | 367 | 1.453 | 37026.8 |
| 1424 | 2025-05-16 04:21:25 | paris | 1 | 28756 | 19 | 4.953 | 5805.8 |