History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coal"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1507 | 2026-03-06 12:11:58 | coal | 1 | 13983 | 17 | 0.890 | 15711.2 |
| 1506 | 2026-03-04 09:01:38 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1505 | 2026-03-01 09:00:27 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1504 | 2026-03-01 01:31:02 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1503 | 2026-02-26 09:09:00 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1502 | 2026-02-22 17:05:38 | coal | 2 | 29872 | 331 | 0.843 | 35435.3 |
| 1501 | 2026-02-22 14:06:46 | coal | 2 | 29872 | 331 | 1.606 | 18600.2 |
| 1500 | 2026-02-21 23:15:43 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1499 | 2026-02-21 09:42:00 | coal | 2 | 29872 | 331 | 0.796 | 37527.6 |
| 1498 | 2026-02-21 02:35:32 | coal | 2 | 29872 | 331 | 0.876 | 34100.5 |
| 1497 | 2026-02-17 16:30:40 | coal | 1 | 13983 | 17 | 0.846 | 16528.4 |
| 1496 | 2026-02-15 18:52:53 | coal | 1 | 13983 | 17 | 0.513 | 27257.3 |
| 1495 | 2026-02-10 22:40:35 | coal | 2 | 29872 | 331 | 2.703 | 11051.4 |
| 1494 | 2026-02-10 03:44:21 | coal | 1 | 13983 | 17 | 0.593 | 23580.1 |
| 1493 | 2026-02-07 20:08:45 | coal | 1 | 13983 | 17 | 0.513 | 27257.3 |
| 1492 | 2026-02-03 23:59:21 | coal | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1491 | 2026-02-02 08:07:48 | coal | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1490 | 2026-02-02 08:02:35 | coal | 1 | 13983 | 17 | 0.296 | 47239.9 |
| 1489 | 2026-01-28 16:44:02 | coal | 1 | 13983 | 17 | 1.653 | 8459.2 |
| 1488 | 2026-01-26 16:01:20 | coal | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1487 | 2026-01-25 03:23:46 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1486 | 2026-01-24 16:26:58 | coal | 2 | 29872 | 331 | 6.453 | 4629.2 |
| 1485 | 2026-01-23 20:53:05 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1484 | 2026-01-23 20:47:52 | coal | 2 | 29872 | 331 | 0.936 | 31914.5 |
| 1483 | 2026-01-23 07:09:46 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1482 | 2026-01-21 23:12:23 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1481 | 2026-01-17 05:20:32 | coal | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1480 | 2026-01-14 08:25:38 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1479 | 2026-01-14 04:54:28 | coal | 1 | 13983 | 17 | 1.140 | 12265.8 |
| 1478 | 2026-01-11 23:54:12 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1477 | 2026-01-10 20:01:33 | coal | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1476 | 2026-01-10 12:57:18 | coal | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1475 | 2026-01-06 21:48:16 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1474 | 2026-01-06 01:11:38 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1473 | 2026-01-06 00:01:55 | coal | 2 | 29872 | 331 | 0.970 | 30795.9 |
| 1472 | 2026-01-05 23:17:43 | coal | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1471 | 2026-01-02 05:25:41 | coal | 1 | 13983 | 17 | 1.890 | 7398.4 |
| 1470 | 2025-12-31 22:45:17 | coal | 1 | 13983 | 17 | 0.313 | 44674.1 |
| 1469 | 2025-12-31 12:38:38 | coal | 1 | 13983 | 17 | 0.860 | 16259.3 |
| 1468 | 2025-12-31 10:35:13 | coal | 2 | 29872 | 331 | 1.080 | 27659.3 |
| 1467 | 2025-12-31 10:35:03 | coal | 2 | 29872 | 331 | 0.780 | 38297.4 |
| 1466 | 2025-12-29 01:13:35 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1465 | 2025-12-27 16:11:35 | coal | 1 | 13983 | 17 | 0.283 | 49409.9 |
| 1464 | 2025-12-25 07:08:05 | coal | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 1463 | 2025-12-24 21:44:08 | coal | 2 | 29872 | 331 | 1.703 | 17540.8 |
| 1462 | 2025-12-24 21:15:54 | coal | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 1461 | 2025-12-22 08:03:04 | coal | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 1460 | 2025-12-19 20:55:24 | coal | 2 | 29872 | 331 | 0.966 | 30923.4 |
| 1459 | 2025-12-18 09:27:45 | coal | 1 | 13983 | 17 | 1.050 | 13317.1 |
| 1458 | 2025-12-16 23:25:28 | coal | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1457 | 2025-12-14 01:52:25 | coal | 1 | 13983 | 17 | 0.576 | 24276.0 |
| 1456 | 2025-12-14 01:52:14 | coal | 1 | 13983 | 17 | 1.030 | 13575.7 |
| 1455 | 2025-12-10 16:41:06 | coal | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1454 | 2025-12-10 16:06:21 | coal | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1453 | 2025-12-08 12:40:21 | coal | 2 | 29872 | 331 | 0.873 | 34217.6 |
| 1452 | 2025-12-05 22:49:33 | coal | 2 | 29872 | 331 | 0.796 | 37527.6 |
| 1451 | 2025-11-29 19:49:35 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1450 | 2025-11-29 19:20:39 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1449 | 2025-11-27 15:35:21 | coal | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1448 | 2025-11-23 21:04:45 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1447 | 2025-11-22 22:08:37 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1446 | 2025-11-22 12:50:29 | coal | 2 | 29872 | 331 | 3.406 | 8770.4 |
| 1445 | 2025-11-21 16:19:56 | coal | 2 | 29872 | 331 | 1.686 | 17717.7 |
| 1444 | 2025-11-20 23:17:37 | coal | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1443 | 2025-11-20 23:17:22 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1442 | 2025-11-19 00:13:00 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1441 | 2025-11-18 06:29:24 | coal | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1440 | 2025-11-17 22:45:26 | coal | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1439 | 2025-11-16 06:20:04 | coal | 1 | 13983 | 17 | 0.280 | 49939.3 |
| 1438 | 2025-11-15 04:02:54 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1437 | 2025-11-14 09:11:46 | coal | 1 | 13983 | 17 | 0.486 | 28771.6 |
| 1436 | 2025-11-13 16:17:23 | coal | 1 | 13983 | 17 | 0.733 | 19076.4 |
| 1435 | 2025-11-10 20:08:07 | coal | 1 | 13983 | 17 | 0.280 | 49939.3 |
| 1434 | 2025-11-10 05:27:50 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1433 | 2025-11-04 03:46:59 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1432 | 2025-11-04 02:31:19 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1431 | 2025-11-03 08:21:12 | coal | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1430 | 2025-11-02 11:08:36 | coal | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 1429 | 2025-11-02 00:38:15 | coal | 1 | 13983 | 17 | 1.156 | 12096.0 |
| 1428 | 2025-10-28 02:18:24 | coal | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1427 | 2025-10-21 03:21:15 | coal | 1 | 13983 | 17 | 0.766 | 18254.6 |
| 1426 | 2025-10-15 20:54:44 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1425 | 2025-10-08 16:57:28 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1424 | 2025-10-04 20:47:48 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1423 | 2025-10-03 22:34:42 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1422 | 2025-10-02 03:17:18 | coal | 1 | 13983 | 17 | 0.436 | 32071.1 |
| 1421 | 2025-10-02 00:07:22 | coal | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1420 | 2025-09-26 03:00:45 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1419 | 2025-09-25 02:07:40 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1418 | 2025-09-24 00:53:17 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1417 | 2025-09-21 21:50:31 | coal | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1416 | 2025-09-20 13:03:10 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1415 | 2025-09-20 04:18:04 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1414 | 2025-09-19 07:17:27 | coal | 2 | 29872 | 331 | 0.860 | 34734.9 |
| 1413 | 2025-09-19 02:10:20 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1412 | 2025-09-08 23:40:17 | coal | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1411 | 2025-09-08 16:57:27 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1410 | 2025-09-05 21:04:27 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1409 | 2025-09-05 09:43:04 | coal | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1408 | 2025-09-01 03:29:40 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 |