History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"prod"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1490 | 2025-12-31 14:27:41 | prod | 1 | 13983 | 16 | 0.513 | 27257.3 |
| 1489 | 2025-12-31 14:26:29 | prod | 1 | 13983 | 16 | 0.283 | 49409.9 |
| 1488 | 2025-12-30 01:02:42 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1487 | 2025-12-29 05:32:55 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1486 | 2025-12-28 23:17:18 | prod | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1485 | 2025-12-26 22:15:47 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1484 | 2025-12-26 18:53:15 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1483 | 2025-12-23 04:33:54 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1482 | 2025-12-19 02:18:21 | prod | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1481 | 2025-12-19 02:17:19 | prod | 1 | 13983 | 16 | 0.280 | 49939.3 |
| 1480 | 2025-12-19 01:51:25 | prod | 1 | 13983 | 16 | 0.500 | 27966.0 |
| 1479 | 2025-12-11 17:18:02 | prod | 1 | 13983 | 16 | 0.593 | 23580.1 |
| 1478 | 2025-12-09 05:45:14 | prod | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1477 | 2025-12-08 21:58:47 | prod | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1476 | 2025-12-08 03:42:11 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1475 | 2025-12-08 03:14:41 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1474 | 2025-12-07 20:19:50 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1473 | 2025-12-02 16:20:23 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1472 | 2025-12-02 00:34:23 | prod | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1471 | 2025-11-30 23:51:17 | prod | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1470 | 2025-11-30 06:17:00 | prod | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1469 | 2025-11-30 03:47:50 | prod | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1468 | 2025-11-28 13:46:35 | prod | 1 | 13983 | 16 | 0.670 | 20870.1 |
| 1467 | 2025-11-28 05:28:46 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1466 | 2025-11-24 03:16:12 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1465 | 2025-11-23 12:34:14 | prod | 2 | 29872 | 203 | 0.780 | 38297.4 |
| 1464 | 2025-11-22 08:37:37 | prod | 2 | 29872 | 203 | 0.936 | 31914.5 |
| 1463 | 2025-11-22 01:25:22 | prod | 2 | 29872 | 203 | 0.830 | 35990.4 |
| 1462 | 2025-11-18 06:40:19 | prod | 1 | 13983 | 16 | 0.703 | 19890.5 |
| 1461 | 2025-11-18 02:32:00 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1460 | 2025-11-17 11:18:39 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1459 | 2025-11-15 12:22:42 | prod | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1458 | 2025-11-15 00:55:04 | prod | 1 | 13983 | 16 | 0.516 | 27098.8 |
| 1457 | 2025-11-14 15:55:46 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1456 | 2025-11-14 03:58:59 | prod | 1 | 13983 | 16 | 0.200 | 69915.0 |
| 1455 | 2025-11-13 14:04:10 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1454 | 2025-11-13 00:31:51 | prod | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1453 | 2025-11-11 21:31:49 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1452 | 2025-11-10 16:58:53 | prod | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1451 | 2025-11-08 13:03:24 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1450 | 2025-11-08 05:54:37 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1449 | 2025-11-07 10:33:56 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1448 | 2025-11-07 03:43:53 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1447 | 2025-11-07 03:17:53 | prod | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1446 | 2025-11-06 20:05:48 | prod | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1445 | 2025-11-02 05:19:11 | prod | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1444 | 2025-10-30 07:07:54 | prod | 1 | 13983 | 16 | 0.466 | 30006.4 |
| 1443 | 2025-10-30 05:11:49 | prod | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1442 | 2025-10-28 15:12:23 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1441 | 2025-10-28 00:40:01 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1440 | 2025-10-26 15:05:18 | prod | 1 | 13983 | 16 | 0.360 | 38841.7 |
| 1439 | 2025-10-25 18:34:34 | prod | 2 | 29872 | 203 | 0.860 | 34734.9 |
| 1438 | 2025-10-25 08:59:45 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1437 | 2025-10-20 04:15:36 | prod | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1436 | 2025-10-14 17:54:37 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1435 | 2025-10-12 02:53:04 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1434 | 2025-10-10 13:54:43 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1433 | 2025-10-09 19:27:26 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1432 | 2025-10-08 14:25:09 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1431 | 2025-10-08 07:02:26 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1430 | 2025-10-07 04:56:05 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1429 | 2025-10-07 04:25:24 | prod | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1428 | 2025-10-06 21:00:28 | prod | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1427 | 2025-10-02 17:02:17 | prod | 2 | 29872 | 203 | 0.843 | 35435.3 |
| 1426 | 2025-10-02 05:36:32 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1425 | 2025-09-28 07:03:58 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1424 | 2025-09-28 05:01:51 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1423 | 2025-09-25 09:54:01 | prod | 2 | 29872 | 203 | 1.780 | 16782.0 |
| 1422 | 2025-09-25 06:01:05 | prod | 1 | 13983 | 16 | 1.203 | 11623.4 |
| 1421 | 2025-09-24 22:33:11 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1420 | 2025-09-24 15:46:07 | prod | 1 | 13983 | 16 | 0.280 | 49939.3 |
| 1419 | 2025-09-22 17:14:23 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1418 | 2025-09-21 14:52:09 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1417 | 2025-09-18 10:49:32 | prod | 2 | 29872 | 203 | 0.750 | 39829.3 |
| 1416 | 2025-09-15 11:56:09 | prod | 1 | 13983 | 16 | 0.283 | 49409.9 |
| 1415 | 2025-09-13 14:29:05 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1414 | 2025-09-12 16:56:25 | prod | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1413 | 2025-09-09 12:24:17 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1412 | 2025-09-07 07:03:27 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1411 | 2025-09-06 20:38:09 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1410 | 2025-09-06 20:35:07 | prod | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1409 | 2025-09-06 19:56:10 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1408 | 2025-09-06 15:50:06 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1407 | 2025-09-05 21:12:46 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1406 | 2025-09-05 20:16:26 | prod | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1405 | 2025-09-03 07:08:42 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1404 | 2025-09-02 03:10:06 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1403 | 2025-08-28 04:27:57 | prod | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1402 | 2025-08-28 01:39:07 | prod | 2 | 29872 | 203 | 0.923 | 32364.0 |
| 1401 | 2025-08-27 12:12:29 | prod | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1400 | 2025-08-27 07:08:59 | prod | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1399 | 2025-08-17 10:49:01 | prod | 2 | 29872 | 203 | 3.936 | 7589.4 |
| 1398 | 2025-08-14 17:01:50 | prod | 2 | 29872 | 203 | 0.923 | 32364.0 |
| 1397 | 2025-08-09 13:05:53 | prod | 1 | 13983 | 16 | 1.173 | 11920.7 |
| 1396 | 2025-08-04 08:05:30 | prod | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1395 | 2025-08-04 06:16:33 | prod | 1 | 13983 | 16 | 1.406 | 9945.2 |
| 1394 | 2025-08-03 13:37:48 | prod | 1 | 13983 | 16 | 0.826 | 16928.6 |
| 1393 | 2025-08-01 16:25:38 | prod | 2 | 29872 | 203 | 3.580 | 8344.1 |
| 1392 | 2025-07-31 06:13:42 | prod | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1391 | 2025-07-26 03:46:53 | prod | 2 | 29872 | 203 | 4.656 | 6415.8 |