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 |
| 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 |
| 1423 | 2025-05-11 09:36:46 | paris | 2 | 53800 | 367 | 1.766 | 30464.3 |
| 1422 | 2025-05-10 19:52:47 | paris | 2 | 53800 | 367 | 8.876 | 6061.3 |
| 1421 | 2025-05-08 17:18:55 | paris | 2 | 53800 | 367 | 4.013 | 13406.4 |
| 1420 | 2025-05-08 14:07:53 | paris | 1 | 28756 | 19 | 3.813 | 7541.6 |
| 1419 | 2025-05-08 08:44:43 | paris | 2 | 53800 | 367 | 7.753 | 6939.2 |
| 1418 | 2025-05-07 00:51:54 | paris | 2 | 53800 | 367 | 3.250 | 16553.8 |
| 1417 | 2025-05-05 18:12:15 | paris | 1 | 28756 | 19 | 0.453 | 63479.0 |
| 1416 | 2025-05-05 12:23:54 | paris | 1 | 28756 | 19 | 2.436 | 11804.6 |
| 1415 | 2025-05-05 00:58:44 | paris | 2 | 53800 | 367 | 8.313 | 6471.8 |
| 1414 | 2025-05-02 20:07:17 | paris | 1 | 28756 | 19 | 3.546 | 8109.4 |
| 1413 | 2025-05-01 09:00:26 | paris | 1 | 28756 | 19 | 0.970 | 29645.4 |
| 1412 | 2025-05-01 06:32:36 | paris | 1 | 28756 | 19 | 0.546 | 52666.7 |
| 1411 | 2025-04-28 04:49:23 | paris | 1 | 28756 | 19 | 2.453 | 11722.8 |
| 1410 | 2025-04-27 07:39:17 | paris | 1 | 28756 | 19 | 0.530 | 54256.6 |
| 1409 | 2025-04-27 07:39:08 | paris | 1 | 28756 | 19 | 0.500 | 57512.0 |
| 1408 | 2025-04-16 03:43:42 | paris | 1 | 28756 | 19 | 2.390 | 12031.8 |
| 1407 | 2025-04-15 17:14:09 | paris | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1406 | 2025-04-12 11:33:41 | paris | 2 | 53800 | 367 | 8.033 | 6697.4 |
| 1405 | 2025-04-09 10:30:24 | paris | 2 | 53800 | 367 | 7.470 | 7202.1 |
| 1404 | 2025-04-07 12:53:35 | paris | 1 | 28756 | 19 | 2.516 | 11429.3 |
| 1403 | 2025-04-06 00:16:16 | paris | 2 | 53800 | 367 | 11.190 | 4807.9 |
| 1402 | 2025-04-05 11:59:39 | paris | 1 | 28756 | 19 | 2.720 | 10572.1 |
| 1401 | 2025-03-31 11:00:10 | paris | 1 | 28756 | 19 | 1.313 | 21901.0 |
| 1400 | 2025-03-28 13:34:41 | paris | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1399 | 2025-03-28 06:25:35 | paris | 1 | 28756 | 19 | 0.516 | 55728.7 |
| 1398 | 2025-03-25 15:35:54 | paris | 1 | 28756 | 19 | 2.126 | 13525.9 |
| 1397 | 2025-03-18 02:22:08 | paris | 1 | 28756 | 19 | 1.376 | 20898.3 |
| 1396 | 2025-03-16 12:39:23 | paris | 2 | 53800 | 367 | 11.736 | 4584.2 |