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 | 
		| 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 | 
		| 1407 | 2025-08-28 00:04:12 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1406 | 2025-08-27 09:48:28 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1405 | 2025-08-26 11:31:37 | coal | 1 | 13983 | 17 | 1.173 | 11920.7 | 
		| 1404 | 2025-08-23 09:45:38 | coal | 1 | 13983 | 17 | 1.453 | 9623.5 | 
		| 1403 | 2025-08-16 14:33:58 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1402 | 2025-08-09 15:06:28 | coal | 1 | 13983 | 17 | 0.856 | 16335.3 | 
		| 1401 | 2025-08-08 13:15:38 | coal | 1 | 13983 | 17 | 0.263 | 53167.3 | 
		| 1400 | 2025-08-01 21:20:01 | coal | 2 | 29872 | 331 | 6.360 | 4696.9 | 
		| 1399 | 2025-08-01 16:29:38 | coal | 1 | 13983 | 17 | 0.953 | 14672.6 | 
		| 1398 | 2025-08-01 06:40:47 | coal | 1 | 13983 | 17 | 0.936 | 14939.1 | 
		| 1397 | 2025-08-01 04:49:59 | coal | 2 | 29872 | 331 | 2.266 | 13182.7 | 
		| 1396 | 2025-07-31 05:10:43 | coal | 1 | 13983 | 17 | 0.266 | 52567.7 | 
		| 1395 | 2025-07-31 04:17:14 | coal | 1 | 13983 | 17 | 0.690 | 20265.2 | 
		| 1394 | 2025-07-27 11:18:09 | coal | 1 | 13983 | 17 | 0.436 | 32071.1 | 
		| 1393 | 2025-07-24 23:19:54 | coal | 1 | 13983 | 17 | 0.670 | 20870.1 | 
		| 1392 | 2025-07-23 06:08:55 | coal | 1 | 13983 | 17 | 1.453 | 9623.5 | 
		| 1391 | 2025-07-22 16:49:52 | coal | 1 | 13983 | 17 | 1.046 | 13368.1 | 
		| 1390 | 2025-07-22 13:32:14 | coal | 1 | 13983 | 17 | 0.830 | 16847.0 | 
		| 1389 | 2025-07-16 20:23:52 | coal | 1 | 13983 | 17 | 1.140 | 12265.8 | 
		| 1388 | 2025-07-16 19:47:56 | coal | 1 | 13983 | 17 | 0.750 | 18644.0 | 
		| 1387 | 2025-07-14 06:30:13 | coal | 1 | 13983 | 17 | 0.953 | 14672.6 | 
		| 1386 | 2025-07-08 14:38:27 | coal | 1 | 13983 | 17 | 1.140 | 12265.8 | 
		| 1385 | 2025-07-07 11:17:03 | coal | 1 | 13983 | 17 | 0.470 | 29751.1 | 
		| 1384 | 2025-07-03 22:46:14 | coal | 2 | 29872 | 331 | 2.123 | 14070.7 | 
		| 1383 | 2025-07-03 05:13:53 | coal | 2 | 29872 | 331 | 2.860 | 10444.8 | 
		| 1382 | 2025-07-02 05:36:50 | coal | 1 | 13983 | 17 | 0.983 | 14224.8 | 
		| 1381 | 2025-06-30 03:42:01 | coal | 2 | 29872 | 331 | 2.890 | 10336.3 | 
		| 1380 | 2025-06-29 03:12:04 | coal | 1 | 13983 | 17 | 0.483 | 28950.3 | 
		| 1379 | 2025-06-28 21:00:43 | coal | 1 | 13983 | 17 | 0.263 | 53167.3 | 
		| 1378 | 2025-06-28 00:25:18 | coal | 1 | 13983 | 17 | 0.293 | 47723.5 | 
		| 1377 | 2025-06-19 07:45:11 | coal | 1 | 13983 | 17 | 1.453 | 9623.5 | 
		| 1376 | 2025-06-16 03:29:14 | coal | 2 | 29872 | 331 | 4.436 | 6734.0 | 
		| 1375 | 2025-06-15 13:21:44 | coal | 1 | 13983 | 17 | 0.266 | 52567.7 | 
		| 1374 | 2025-06-14 10:03:30 | coal | 2 | 29872 | 331 | 4.360 | 6851.4 | 
		| 1373 | 2025-06-12 09:58:01 | coal | 1 | 13983 | 17 | 0.906 | 15433.8 | 
		| 1372 | 2025-06-12 00:19:41 | coal | 2 | 29872 | 331 | 3.860 | 7738.9 | 
		| 1371 | 2025-06-10 18:17:16 | coal | 1 | 13983 | 17 | 0.296 | 47239.9 | 
		| 1370 | 2025-06-08 14:42:53 | coal | 1 | 13983 | 17 | 1.373 | 10184.3 | 
		| 1369 | 2025-06-03 06:36:22 | coal | 1 | 13983 | 17 | 0.703 | 19890.5 | 
		| 1368 | 2025-06-02 04:40:59 | coal | 1 | 13983 | 17 | 1.326 | 10545.2 | 
		| 1367 | 2025-06-01 11:16:20 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1366 | 2025-05-31 17:53:16 | coal | 2 | 29872 | 331 | 2.796 | 10683.8 | 
		| 1365 | 2025-05-31 02:15:11 | coal | 1 | 13983 | 17 | 1.250 | 11186.4 | 
		| 1364 | 2025-05-29 07:22:25 | coal | 1 | 13983 | 17 | 0.966 | 14475.2 | 
		| 1363 | 2025-05-29 02:03:13 | coal | 2 | 29872 | 331 | 2.373 | 12588.3 | 
		| 1362 | 2025-05-28 06:33:11 | coal | 1 | 13983 | 17 | 0.263 | 53167.3 | 
		| 1361 | 2025-05-28 03:10:13 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1360 | 2025-05-28 02:29:37 | coal | 2 | 29872 | 331 | 2.280 | 13101.8 | 
		| 1359 | 2025-05-27 21:43:00 | coal | 1 | 13983 | 17 | 0.266 | 52567.7 | 
		| 1358 | 2025-05-24 10:57:53 | coal | 1 | 13983 | 17 | 1.796 | 7785.6 | 
		| 1357 | 2025-05-23 16:55:25 | coal | 1 | 13983 | 17 | 1.623 | 8615.5 | 
		| 1356 | 2025-05-17 08:12:51 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1355 | 2025-05-16 03:42:26 | coal | 1 | 13983 | 17 | 1.376 | 10162.1 | 
		| 1354 | 2025-05-12 10:43:50 | coal | 1 | 13983 | 17 | 0.610 | 22923.0 | 
		| 1353 | 2025-05-12 10:00:44 | coal | 2 | 29872 | 331 | 3.360 | 8890.5 | 
		| 1352 | 2025-05-10 20:33:47 | coal | 2 | 29872 | 331 | 6.110 | 4889.0 | 
		| 1351 | 2025-05-09 11:01:36 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1350 | 2025-05-08 14:44:58 | coal | 1 | 13983 | 17 | 1.500 | 9322.0 | 
		| 1349 | 2025-05-05 11:22:30 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1348 | 2025-05-05 02:48:56 | coal | 1 | 13983 | 17 | 0.220 | 63559.1 | 
		| 1347 | 2025-05-03 06:18:07 | coal | 1 | 13983 | 17 | 0.280 | 49939.3 | 
		| 1346 | 2025-05-01 15:48:21 | coal | 1 | 13983 | 17 | 1.360 | 10281.6 | 
		| 1345 | 2025-05-01 04:50:18 | coal | 1 | 13983 | 17 | 0.813 | 17199.3 | 
		| 1344 | 2025-04-27 08:38:35 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1343 | 2025-04-27 07:37:16 | coal | 1 | 13983 | 17 | 0.266 | 52567.7 | 
		| 1342 | 2025-04-26 20:46:38 | coal | 1 | 13983 | 17 | 0.686 | 20383.4 | 
		| 1341 | 2025-04-25 11:37:27 | coal | 2 | 29872 | 331 | 0.796 | 37527.6 | 
		| 1340 | 2025-04-22 10:54:07 | coal | 1 | 13983 | 17 | 0.220 | 63559.1 | 
		| 1339 | 2025-04-17 06:59:51 | coal | 1 | 13983 | 17 | 0.250 | 55932.0 | 
		| 1338 | 2025-04-16 02:46:04 | coal | 2 | 29872 | 331 | 3.330 | 8970.6 | 
		| 1337 | 2025-04-15 03:03:41 | coal | 1 | 13983 | 17 | 1.186 | 11790.1 | 
		| 1336 | 2025-04-13 01:51:56 | coal | 1 | 13983 | 17 | 0.263 | 53167.3 | 
		| 1335 | 2025-04-11 09:07:25 | coal | 1 | 13983 | 17 | 0.733 | 19076.4 | 
		| 1334 | 2025-04-08 09:09:16 | coal | 1 | 13983 | 17 | 0.266 | 52567.7 | 
		| 1333 | 2025-04-07 20:30:58 | coal | 1 | 13983 | 17 | 0.216 | 64736.1 | 
		| 1332 | 2025-04-06 14:26:46 | coal | 1 | 13983 | 17 | 0.390 | 35853.8 | 
		| 1331 | 2025-04-03 21:42:37 | coal | 2 | 29872 | 331 | 4.890 | 6108.8 | 
		| 1330 | 2025-04-03 01:02:43 | coal | 2 | 29872 | 331 | 2.173 | 13746.9 | 
		| 1329 | 2025-03-31 05:15:45 | coal | 1 | 13983 | 17 | 1.593 | 8777.8 |