History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coat"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1515 | 2026-02-08 11:10:36 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1514 | 2026-02-07 20:08:55 | coat | 1 | 13983 | 20 | 1.156 | 12096.0 |
| 1513 | 2026-02-05 11:23:26 | coat | 1 | 13983 | 20 | 0.266 | 52567.7 |
| 1512 | 2026-02-04 10:08:43 | coat | 1 | 13983 | 20 | 0.280 | 49939.3 |
| 1511 | 2026-02-02 22:30:25 | coat | 1 | 13983 | 20 | 0.530 | 26383.0 |
| 1510 | 2026-02-01 16:06:42 | coat | 1 | 13983 | 20 | 0.233 | 60012.9 |
| 1509 | 2026-01-31 12:53:28 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1508 | 2026-01-29 21:34:32 | coat | 2 | 29872 | 382 | 0.890 | 33564.0 |
| 1507 | 2026-01-29 00:47:14 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1506 | 2026-01-28 19:08:43 | coat | 1 | 13983 | 20 | 0.266 | 52567.7 |
| 1505 | 2026-01-27 09:32:05 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1504 | 2026-01-27 00:01:13 | coat | 1 | 13983 | 20 | 0.936 | 14939.1 |
| 1503 | 2026-01-26 16:01:29 | coat | 1 | 13983 | 20 | 0.470 | 29751.1 |
| 1502 | 2026-01-21 10:51:30 | coat | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1501 | 2026-01-20 08:49:38 | coat | 1 | 13983 | 20 | 0.236 | 59250.0 |
| 1500 | 2026-01-12 23:31:17 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1499 | 2026-01-12 18:30:41 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1498 | 2026-01-11 23:07:47 | coat | 1 | 13983 | 20 | 0.233 | 60012.9 |
| 1497 | 2026-01-11 22:54:24 | coat | 1 | 13983 | 20 | 0.280 | 49939.3 |
| 1496 | 2026-01-11 08:35:37 | coat | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1495 | 2026-01-06 21:48:24 | coat | 1 | 13983 | 20 | 0.266 | 52567.7 |
| 1494 | 2026-01-06 20:54:42 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1493 | 2026-01-04 18:08:30 | coat | 1 | 13983 | 20 | 0.280 | 49939.3 |
| 1492 | 2025-12-31 02:21:35 | coat | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1491 | 2025-12-31 00:55:17 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1490 | 2025-12-30 05:26:54 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1489 | 2025-12-29 01:13:43 | coat | 1 | 13983 | 20 | 0.233 | 60012.9 |
| 1488 | 2025-12-27 05:14:54 | coat | 1 | 13983 | 20 | 0.266 | 52567.7 |
| 1487 | 2025-12-26 18:18:22 | coat | 1 | 13983 | 20 | 0.266 | 52567.7 |
| 1486 | 2025-12-25 05:00:13 | coat | 1 | 13983 | 20 | 0.263 | 53167.3 |
| 1485 | 2025-12-24 08:09:04 | coat | 1 | 13983 | 20 | 0.703 | 19890.5 |
| 1484 | 2025-12-23 03:40:37 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1483 | 2025-12-20 17:31:38 | coat | 1 | 13983 | 20 | 0.876 | 15962.3 |
| 1482 | 2025-12-20 17:31:07 | coat | 1 | 13983 | 20 | 0.283 | 49409.9 |
| 1481 | 2025-12-18 17:08:59 | coat | 1 | 13983 | 20 | 0.516 | 27098.8 |
| 1480 | 2025-12-18 09:27:49 | coat | 1 | 13983 | 20 | 0.500 | 27966.0 |
| 1479 | 2025-12-14 01:38:17 | coat | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1478 | 2025-12-12 20:09:47 | coat | 1 | 13983 | 20 | 0.500 | 27966.0 |
| 1477 | 2025-12-09 18:29:57 | coat | 1 | 13983 | 20 | 0.233 | 60012.9 |
| 1476 | 2025-12-05 09:59:25 | coat | 1 | 13983 | 20 | 0.983 | 14224.8 |
| 1475 | 2025-12-03 04:29:12 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1474 | 2025-12-02 03:09:53 | coat | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1473 | 2025-11-30 01:40:04 | coat | 1 | 13983 | 20 | 0.500 | 27966.0 |
| 1472 | 2025-11-29 03:25:56 | coat | 1 | 13983 | 20 | 0.263 | 53167.3 |
| 1471 | 2025-11-28 04:49:30 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1470 | 2025-11-28 03:29:19 | coat | 1 | 13983 | 20 | 0.483 | 28950.3 |
| 1469 | 2025-11-27 23:15:54 | coat | 1 | 13983 | 20 | 0.263 | 53167.3 |
| 1468 | 2025-11-27 03:05:20 | coat | 1 | 13983 | 20 | 0.266 | 52567.7 |
| 1467 | 2025-11-26 03:09:41 | coat | 1 | 13983 | 20 | 0.283 | 49409.9 |
| 1466 | 2025-11-24 03:35:03 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1465 | 2025-11-23 07:34:34 | coat | 1 | 13983 | 20 | 0.716 | 19529.3 |
| 1464 | 2025-11-23 00:58:09 | coat | 1 | 13983 | 20 | 1.220 | 11461.5 |
| 1463 | 2025-11-22 20:49:57 | coat | 2 | 29872 | 382 | 0.890 | 33564.0 |
| 1462 | 2025-11-22 12:53:17 | coat | 2 | 29872 | 382 | 0.923 | 32364.0 |
| 1461 | 2025-11-20 20:46:18 | coat | 1 | 13983 | 20 | 0.466 | 30006.4 |
| 1460 | 2025-11-19 21:45:09 | coat | 2 | 29872 | 382 | 1.080 | 27659.3 |
| 1459 | 2025-11-17 22:45:30 | coat | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1458 | 2025-11-15 04:03:04 | coat | 1 | 13983 | 20 | 0.296 | 47239.9 |
| 1457 | 2025-11-14 09:12:58 | coat | 1 | 13983 | 20 | 0.876 | 15962.3 |
| 1456 | 2025-11-13 16:17:35 | coat | 1 | 13983 | 20 | 0.986 | 14181.5 |
| 1455 | 2025-11-11 21:20:39 | coat | 1 | 13983 | 20 | 0.263 | 53167.3 |
| 1454 | 2025-11-10 20:08:18 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1453 | 2025-11-10 05:27:54 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1452 | 2025-11-09 06:45:40 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1451 | 2025-11-06 22:08:31 | coat | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1450 | 2025-11-06 02:56:16 | coat | 1 | 13983 | 20 | 0.266 | 52567.7 |
| 1449 | 2025-11-05 22:15:58 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1448 | 2025-11-04 21:10:07 | coat | 1 | 13983 | 20 | 0.266 | 52567.7 |
| 1447 | 2025-11-03 16:43:12 | coat | 1 | 13983 | 20 | 0.593 | 23580.1 |
| 1446 | 2025-11-03 15:35:35 | coat | 1 | 13983 | 20 | 0.263 | 53167.3 |
| 1445 | 2025-11-02 11:25:57 | coat | 1 | 13983 | 20 | 0.236 | 59250.0 |
| 1444 | 2025-11-01 10:41:50 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1443 | 2025-10-27 18:24:53 | coat | 1 | 13983 | 20 | 0.263 | 53167.3 |
| 1442 | 2025-10-21 04:32:17 | coat | 1 | 13983 | 20 | 0.263 | 53167.3 |
| 1441 | 2025-10-19 12:27:49 | coat | 1 | 13983 | 20 | 1.300 | 10756.2 |
| 1440 | 2025-10-17 06:17:14 | coat | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1439 | 2025-10-11 07:47:21 | coat | 1 | 13983 | 20 | 0.266 | 52567.7 |
| 1438 | 2025-10-10 02:16:16 | coat | 1 | 13983 | 20 | 0.216 | 64736.1 |
| 1437 | 2025-10-08 04:56:15 | coat | 1 | 13983 | 20 | 0.233 | 60012.9 |
| 1436 | 2025-09-26 22:06:10 | coat | 2 | 29872 | 382 | 0.923 | 32364.0 |
| 1435 | 2025-09-26 13:48:20 | coat | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1434 | 2025-09-25 02:03:46 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1433 | 2025-09-23 10:32:43 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1432 | 2025-09-23 05:39:00 | coat | 1 | 13983 | 20 | 0.516 | 27098.8 |
| 1431 | 2025-09-22 02:30:51 | coat | 2 | 29872 | 382 | 0.953 | 31345.2 |
| 1430 | 2025-09-19 14:34:12 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1429 | 2025-09-19 07:19:22 | coat | 2 | 29872 | 382 | 0.890 | 33564.0 |
| 1428 | 2025-09-15 21:48:42 | coat | 1 | 13983 | 20 | 0.500 | 27966.0 |
| 1427 | 2025-09-15 08:57:03 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1426 | 2025-09-12 22:19:54 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1425 | 2025-09-10 05:45:47 | coat | 1 | 13983 | 20 | 0.296 | 47239.9 |
| 1424 | 2025-09-06 18:51:22 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1423 | 2025-09-06 12:10:11 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1422 | 2025-09-04 08:24:57 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1421 | 2025-09-03 05:45:19 | coat | 1 | 13983 | 20 | 0.216 | 64736.1 |
| 1420 | 2025-09-02 09:02:17 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1419 | 2025-09-02 06:08:31 | coat | 1 | 13983 | 20 | 0.453 | 30867.5 |
| 1418 | 2025-08-31 08:10:04 | coat | 1 | 13983 | 20 | 0.266 | 52567.7 |
| 1417 | 2025-08-26 02:39:37 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1416 | 2025-08-25 08:17:58 | coat | 1 | 13983 | 20 | 1.843 | 7587.1 |