History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"bears"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1490 | 2025-12-06 01:10:57 | bears | 1 | 28756 | 27 | 0.516 | 55728.7 |
| 1489 | 2025-12-05 04:12:30 | bears | 1 | 28756 | 27 | 0.936 | 30722.2 |
| 1488 | 2025-12-05 02:24:44 | bears | 1 | 28756 | 27 | 0.920 | 31256.5 |
| 1487 | 2025-12-03 21:47:54 | bears | 2 | 53800 | 310 | 1.656 | 32487.9 |
| 1486 | 2025-12-03 01:26:39 | bears | 1 | 28756 | 27 | 3.313 | 8679.7 |
| 1485 | 2025-12-02 22:26:05 | bears | 1 | 28756 | 27 | 0.983 | 29253.3 |
| 1484 | 2025-12-02 02:07:22 | bears | 1 | 28756 | 27 | 0.516 | 55728.7 |
| 1483 | 2025-11-26 19:38:14 | bears | 1 | 28756 | 27 | 0.563 | 51076.4 |
| 1482 | 2025-11-25 20:26:36 | bears | 1 | 28756 | 27 | 0.530 | 54256.6 |
| 1481 | 2025-11-24 22:43:15 | bears | 1 | 28756 | 27 | 0.783 | 36725.4 |
| 1480 | 2025-11-24 15:33:00 | bears | 2 | 53800 | 310 | 2.843 | 18923.7 |
| 1479 | 2025-11-21 15:24:17 | bears | 1 | 28756 | 27 | 0.953 | 30174.2 |
| 1478 | 2025-11-21 13:31:22 | bears | 1 | 28756 | 27 | 0.970 | 29645.4 |
| 1477 | 2025-11-20 14:36:08 | bears | 1 | 28756 | 27 | 0.450 | 63902.2 |
| 1476 | 2025-11-19 13:06:44 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
| 1475 | 2025-11-19 02:59:37 | bears | 1 | 28756 | 27 | 0.516 | 55728.7 |
| 1474 | 2025-11-18 11:05:26 | bears | 1 | 28756 | 27 | 0.533 | 53951.2 |
| 1473 | 2025-11-18 09:36:52 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
| 1472 | 2025-11-15 19:58:28 | bears | 1 | 28756 | 27 | 1.516 | 18968.3 |
| 1471 | 2025-11-15 02:45:23 | bears | 1 | 28756 | 27 | 0.453 | 63479.0 |
| 1470 | 2025-11-14 22:30:24 | bears | 1 | 28756 | 27 | 0.453 | 63479.0 |
| 1469 | 2025-11-11 19:00:28 | bears | 1 | 28756 | 27 | 0.516 | 55728.7 |
| 1468 | 2025-11-11 07:29:55 | bears | 1 | 28756 | 27 | 0.483 | 59536.2 |
| 1467 | 2025-11-05 17:25:49 | bears | 1 | 28756 | 27 | 0.470 | 61183.0 |
| 1466 | 2025-11-04 13:41:07 | bears | 1 | 28756 | 27 | 0.546 | 52666.7 |
| 1465 | 2025-11-03 08:47:20 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
| 1464 | 2025-11-02 07:37:43 | bears | 1 | 28756 | 27 | 0.470 | 61183.0 |
| 1463 | 2025-11-02 04:40:54 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
| 1462 | 2025-10-30 18:55:30 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
| 1461 | 2025-10-28 14:34:49 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
| 1460 | 2025-10-24 14:49:56 | bears | 1 | 28756 | 27 | 0.546 | 52666.7 |
| 1459 | 2025-10-19 12:49:50 | bears | 1 | 28756 | 27 | 2.283 | 12595.7 |
| 1458 | 2025-10-19 12:49:46 | bears | 1 | 28756 | 27 | 2.063 | 13938.9 |
| 1457 | 2025-10-10 23:56:36 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
| 1456 | 2025-10-07 18:28:53 | bears | 2 | 53800 | 310 | 1.406 | 38264.6 |
| 1455 | 2025-10-07 04:26:04 | bears | 1 | 28756 | 27 | 0.533 | 53951.2 |
| 1454 | 2025-10-07 03:18:52 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
| 1453 | 2025-10-03 05:56:36 | bears | 1 | 28756 | 27 | 0.516 | 55728.7 |
| 1452 | 2025-09-27 15:48:37 | bears | 1 | 28756 | 27 | 0.530 | 54256.6 |
| 1451 | 2025-09-26 11:00:36 | bears | 1 | 28756 | 27 | 0.593 | 48492.4 |
| 1450 | 2025-09-24 23:34:14 | bears | 1 | 28756 | 27 | 0.936 | 30722.2 |
| 1449 | 2025-09-24 23:34:06 | bears | 1 | 28756 | 27 | 1.046 | 27491.4 |
| 1448 | 2025-09-24 23:33:59 | bears | 1 | 28756 | 27 | 2.703 | 10638.5 |
| 1447 | 2025-09-24 23:33:50 | bears | 1 | 28756 | 27 | 0.970 | 29645.4 |
| 1446 | 2025-09-19 19:37:42 | bears | 1 | 28756 | 27 | 0.456 | 63061.4 |
| 1445 | 2025-09-17 15:12:57 | bears | 1 | 28756 | 27 | 1.016 | 28303.1 |
| 1444 | 2025-09-17 02:25:01 | bears | 1 | 28756 | 27 | 0.470 | 61183.0 |
| 1443 | 2025-09-15 18:07:02 | bears | 1 | 28756 | 27 | 0.483 | 59536.2 |
| 1442 | 2025-09-14 03:39:35 | bears | 1 | 28756 | 27 | 0.516 | 55728.7 |
| 1441 | 2025-09-13 17:42:02 | bears | 1 | 28756 | 27 | 0.530 | 54256.6 |
| 1440 | 2025-09-12 19:26:21 | bears | 1 | 28756 | 27 | 0.530 | 54256.6 |
| 1439 | 2025-09-11 11:52:04 | bears | 1 | 28756 | 27 | 0.670 | 42919.4 |
| 1438 | 2025-09-04 03:18:15 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
| 1437 | 2025-09-02 02:12:00 | bears | 1 | 28756 | 27 | 0.533 | 53951.2 |
| 1436 | 2025-09-01 15:47:06 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
| 1435 | 2025-08-31 02:48:38 | bears | 1 | 28756 | 27 | 0.966 | 29768.1 |
| 1434 | 2025-08-27 16:51:17 | bears | 1 | 28756 | 27 | 0.500 | 57512.0 |
| 1433 | 2025-08-19 03:39:51 | bears | 1 | 28756 | 27 | 1.173 | 24514.9 |
| 1432 | 2025-08-17 02:08:28 | bears | 1 | 28756 | 27 | 1.670 | 17219.2 |
| 1431 | 2025-08-14 13:17:17 | bears | 1 | 28756 | 27 | 0.513 | 56054.6 |
| 1430 | 2025-08-12 10:45:17 | bears | 1 | 28756 | 27 | 0.733 | 39230.6 |
| 1429 | 2025-08-05 04:07:04 | bears | 2 | 53800 | 310 | 3.250 | 16553.8 |
| 1428 | 2025-08-04 02:25:21 | bears | 2 | 53800 | 310 | 2.843 | 18923.7 |
| 1427 | 2025-08-03 02:35:07 | bears | 2 | 53800 | 310 | 8.453 | 6364.6 |
| 1426 | 2025-08-02 10:30:59 | bears | 1 | 28756 | 27 | 1.406 | 20452.3 |
| 1425 | 2025-08-01 08:56:59 | bears | 1 | 28756 | 27 | 4.580 | 6278.6 |
| 1424 | 2025-07-31 23:22:50 | bears | 1 | 28756 | 27 | 2.280 | 12612.3 |
| 1423 | 2025-07-31 10:22:42 | bears | 1 | 28756 | 27 | 0.970 | 29645.4 |
| 1422 | 2025-07-29 12:08:17 | bears | 1 | 28756 | 27 | 0.563 | 51076.4 |
| 1421 | 2025-07-27 18:14:32 | bears | 1 | 28756 | 27 | 1.343 | 21411.8 |
| 1420 | 2025-07-18 04:52:35 | bears | 1 | 28756 | 27 | 1.203 | 23903.6 |
| 1419 | 2025-07-17 11:52:25 | bears | 1 | 28756 | 27 | 2.640 | 10892.4 |
| 1418 | 2025-07-13 09:20:03 | bears | 1 | 28756 | 27 | 1.250 | 23004.8 |
| 1417 | 2025-07-11 01:56:33 | bears | 2 | 53800 | 310 | 8.453 | 6364.6 |
| 1416 | 2025-07-11 00:06:42 | bears | 1 | 28756 | 27 | 3.076 | 9348.5 |
| 1415 | 2025-07-09 00:08:12 | bears | 2 | 53800 | 310 | 8.563 | 6282.8 |
| 1414 | 2025-07-02 02:18:17 | bears | 2 | 53800 | 310 | 5.826 | 9234.5 |
| 1413 | 2025-06-30 22:10:16 | bears | 1 | 28756 | 27 | 2.280 | 12612.3 |
| 1412 | 2025-06-30 10:54:03 | bears | 1 | 28756 | 27 | 3.360 | 8558.3 |
| 1411 | 2025-06-28 08:22:42 | bears | 1 | 28756 | 27 | 2.080 | 13825.0 |
| 1410 | 2025-06-27 00:51:48 | bears | 1 | 28756 | 27 | 0.486 | 59168.7 |
| 1409 | 2025-06-08 08:51:50 | bears | 1 | 28756 | 27 | 2.420 | 11882.6 |
| 1408 | 2025-06-07 06:26:55 | bears | 1 | 28756 | 27 | 0.516 | 55728.7 |
| 1407 | 2025-06-06 02:18:06 | bears | 1 | 28756 | 27 | 0.983 | 29253.3 |
| 1406 | 2025-06-04 08:04:08 | bears | 1 | 28756 | 27 | 1.170 | 24577.8 |
| 1405 | 2025-06-03 07:11:45 | bears | 1 | 28756 | 27 | 3.250 | 8848.0 |
| 1404 | 2025-05-31 09:11:43 | bears | 1 | 28756 | 27 | 1.250 | 23004.8 |
| 1403 | 2025-05-31 08:50:15 | bears | 1 | 28756 | 27 | 2.750 | 10456.7 |
| 1402 | 2025-05-31 05:19:24 | bears | 1 | 28756 | 27 | 2.610 | 11017.6 |
| 1401 | 2025-05-31 05:09:42 | bears | 1 | 28756 | 27 | 2.453 | 11722.8 |
| 1400 | 2025-05-27 08:00:37 | bears | 1 | 28756 | 27 | 4.986 | 5767.3 |
| 1399 | 2025-05-18 17:22:52 | bears | 2 | 53800 | 310 | 8.406 | 6400.2 |
| 1398 | 2025-05-17 03:31:44 | bears | 1 | 28756 | 27 | 1.096 | 26237.2 |
| 1397 | 2025-05-14 22:51:04 | bears | 1 | 28756 | 27 | 2.390 | 12031.8 |
| 1396 | 2025-05-12 18:24:27 | bears | 1 | 28756 | 27 | 0.516 | 55728.7 |
| 1395 | 2025-05-10 18:50:10 | bears | 2 | 53800 | 310 | 8.233 | 6534.7 |
| 1394 | 2025-05-09 07:51:55 | bears | 1 | 28756 | 27 | 1.190 | 24164.7 |
| 1393 | 2025-05-08 09:57:47 | bears | 1 | 28756 | 27 | 0.983 | 29253.3 |
| 1392 | 2025-05-08 09:48:36 | bears | 1 | 28756 | 27 | 3.546 | 8109.4 |
| 1391 | 2025-05-05 16:13:31 | bears | 2 | 53800 | 310 | 1.626 | 33087.3 |