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 |
| 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 |
| 1415 | 2025-08-18 21:49:30 | coat | 1 | 13983 | 20 | 0.546 | 25609.9 |
| 1414 | 2025-08-14 15:40:21 | coat | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1413 | 2025-08-11 04:28:16 | coat | 1 | 13983 | 20 | 1.326 | 10545.2 |
| 1412 | 2025-08-09 06:58:27 | coat | 1 | 13983 | 20 | 1.310 | 10674.0 |
| 1411 | 2025-08-05 01:33:02 | coat | 2 | 29872 | 382 | 5.970 | 5003.7 |
| 1410 | 2025-08-03 19:52:25 | coat | 1 | 13983 | 20 | 0.830 | 16847.0 |
| 1409 | 2025-08-01 11:46:56 | coat | 1 | 13983 | 20 | 1.220 | 11461.5 |
| 1408 | 2025-07-31 14:04:11 | coat | 1 | 13983 | 20 | 0.936 | 14939.1 |
| 1407 | 2025-07-31 00:32:33 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1406 | 2025-07-27 10:47:54 | coat | 2 | 29872 | 382 | 2.110 | 14157.3 |
| 1405 | 2025-07-26 14:59:03 | coat | 1 | 13983 | 20 | 0.983 | 14224.8 |
| 1404 | 2025-07-25 21:02:54 | coat | 1 | 13983 | 20 | 0.780 | 17926.9 |
| 1403 | 2025-07-24 13:59:06 | coat | 1 | 13983 | 20 | 1.343 | 10411.8 |
| 1402 | 2025-07-23 08:17:52 | coat | 1 | 13983 | 20 | 2.143 | 6525.0 |
| 1401 | 2025-07-23 01:27:36 | coat | 1 | 13983 | 20 | 0.750 | 18644.0 |
| 1400 | 2025-07-22 13:30:51 | coat | 2 | 29872 | 382 | 4.406 | 6779.8 |
| 1399 | 2025-07-19 19:01:42 | coat | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1398 | 2025-07-16 23:09:08 | coat | 1 | 13983 | 20 | 0.686 | 20383.4 |
| 1397 | 2025-07-16 22:31:16 | coat | 1 | 13983 | 20 | 0.810 | 17263.0 |
| 1396 | 2025-07-16 20:23:10 | coat | 1 | 13983 | 20 | 0.280 | 49939.3 |
| 1395 | 2025-07-09 06:36:03 | coat | 1 | 13983 | 20 | 0.280 | 49939.3 |
| 1394 | 2025-07-07 12:34:58 | coat | 2 | 29872 | 382 | 5.610 | 5324.8 |
| 1393 | 2025-07-05 01:02:19 | coat | 2 | 29872 | 382 | 4.200 | 7112.4 |
| 1392 | 2025-07-03 19:35:09 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1391 | 2025-07-02 19:24:13 | coat | 1 | 13983 | 20 | 0.693 | 20177.5 |
| 1390 | 2025-06-30 10:38:53 | coat | 2 | 29872 | 382 | 5.206 | 5738.0 |
| 1389 | 2025-06-28 13:22:58 | coat | 1 | 13983 | 20 | 1.623 | 8615.5 |
| 1388 | 2025-06-26 08:05:33 | coat | 1 | 13983 | 20 | 1.580 | 8850.0 |
| 1387 | 2025-06-22 19:57:24 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1386 | 2025-06-13 15:11:37 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1385 | 2025-06-11 03:40:34 | coat | 1 | 13983 | 20 | 1.360 | 10281.6 |
| 1384 | 2025-06-08 06:59:32 | coat | 1 | 13983 | 20 | 1.250 | 11186.4 |
| 1383 | 2025-06-07 05:12:03 | coat | 1 | 13983 | 20 | 1.076 | 12995.4 |
| 1382 | 2025-06-03 01:19:24 | coat | 2 | 29872 | 382 | 0.953 | 31345.2 |
| 1381 | 2025-06-02 19:24:55 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1380 | 2025-06-01 11:16:22 | coat | 1 | 13983 | 20 | 0.250 | 55932.0 |
| 1379 | 2025-05-31 10:10:35 | coat | 1 | 13983 | 20 | 1.143 | 12233.6 |
| 1378 | 2025-05-29 01:37:54 | coat | 1 | 13983 | 20 | 1.220 | 11461.5 |
| 1377 | 2025-05-28 05:21:48 | coat | 2 | 29872 | 382 | 0.936 | 31914.5 |
| 1376 | 2025-05-28 05:03:14 | coat | 1 | 13983 | 20 | 0.500 | 27966.0 |
| 1375 | 2025-05-27 13:24:15 | coat | 1 | 13983 | 20 | 0.296 | 47239.9 |
| 1374 | 2025-05-25 10:54:21 | coat | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1373 | 2025-05-23 02:26:30 | coat | 2 | 29872 | 382 | 6.620 | 4512.4 |
| 1372 | 2025-05-22 11:44:15 | coat | 2 | 29872 | 382 | 5.360 | 5573.1 |
| 1371 | 2025-05-20 16:21:30 | coat | 1 | 13983 | 20 | 1.250 | 11186.4 |
| 1370 | 2025-05-20 01:00:22 | coat | 2 | 29872 | 382 | 2.330 | 12820.6 |
| 1369 | 2025-05-19 10:33:20 | coat | 2 | 29872 | 382 | 0.873 | 34217.6 |
| 1368 | 2025-05-15 23:00:20 | coat | 1 | 13983 | 20 | 0.656 | 21315.5 |
| 1367 | 2025-05-14 23:27:50 | coat | 1 | 13983 | 20 | 0.233 | 60012.9 |
| 1366 | 2025-05-13 04:27:07 | coat | 1 | 13983 | 20 | 0.690 | 20265.2 |
| 1365 | 2025-05-12 13:12:51 | coat | 1 | 13983 | 20 | 0.310 | 45106.5 |
| 1364 | 2025-05-12 03:26:05 | coat | 1 | 13983 | 20 | 1.470 | 9512.2 |
| 1363 | 2025-05-11 03:10:50 | coat | 1 | 13983 | 20 | 0.266 | 52567.7 |
| 1362 | 2025-05-09 11:05:10 | coat | 1 | 13983 | 20 | 0.546 | 25609.9 |
| 1361 | 2025-05-06 03:18:37 | coat | 1 | 13983 | 20 | 0.720 | 19420.8 |
| 1360 | 2025-05-02 19:33:07 | coat | 1 | 13983 | 20 | 0.266 | 52567.7 |
| 1359 | 2025-05-01 09:03:30 | coat | 1 | 13983 | 20 | 1.140 | 12265.8 |
| 1358 | 2025-04-30 12:23:37 | coat | 2 | 29872 | 382 | 3.123 | 9565.2 |
| 1357 | 2025-04-30 10:18:21 | coat | 1 | 13983 | 20 | 1.203 | 11623.4 |
| 1356 | 2025-04-30 06:58:36 | coat | 2 | 29872 | 382 | 3.860 | 7738.9 |
| 1355 | 2025-04-29 23:44:32 | coat | 2 | 29872 | 382 | 1.860 | 16060.2 |
| 1354 | 2025-04-29 10:53:05 | coat | 2 | 29872 | 382 | 4.546 | 6571.1 |
| 1353 | 2025-04-28 23:58:59 | coat | 1 | 13983 | 20 | 0.513 | 27257.3 |
| 1352 | 2025-04-28 10:13:56 | coat | 2 | 29872 | 382 | 3.593 | 8313.9 |
| 1351 | 2025-04-27 12:19:49 | coat | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1350 | 2025-04-27 12:17:54 | coat | 1 | 13983 | 20 | 0.220 | 63559.1 |
| 1349 | 2025-04-27 12:12:06 | coat | 1 | 13983 | 20 | 0.236 | 59250.0 |
| 1348 | 2025-04-27 12:07:07 | coat | 1 | 13983 | 20 | 0.266 | 52567.7 |
| 1347 | 2025-04-14 21:45:49 | coat | 1 | 13983 | 20 | 1.156 | 12096.0 |
| 1346 | 2025-04-14 02:13:59 | coat | 1 | 13983 | 20 | 0.970 | 14415.5 |
| 1345 | 2025-04-11 12:17:14 | coat | 2 | 29872 | 382 | 2.390 | 12498.7 |
| 1344 | 2025-04-11 11:18:32 | coat | 2 | 29872 | 382 | 5.033 | 5935.2 |
| 1343 | 2025-04-10 03:06:06 | coat | 1 | 13983 | 20 | 0.233 | 60012.9 |