History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"waits"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1411 | 2025-07-28 10:58:11 | waits | 2 | 53800 | 297 | 1.640 | 32804.9 |
1410 | 2025-07-27 14:05:43 | waits | 1 | 28756 | 21 | 2.986 | 9630.3 |
1409 | 2025-07-26 15:30:34 | waits | 2 | 53800 | 297 | 5.780 | 9308.0 |
1408 | 2025-07-25 04:09:36 | waits | 1 | 28756 | 21 | 2.016 | 14263.9 |
1407 | 2025-07-25 00:36:25 | waits | 1 | 28756 | 21 | 1.706 | 16855.8 |
1406 | 2025-07-23 01:21:10 | waits | 1 | 28756 | 21 | 1.593 | 18051.5 |
1405 | 2025-07-22 01:18:43 | waits | 1 | 28756 | 21 | 1.203 | 23903.6 |
1404 | 2025-07-17 11:29:18 | waits | 1 | 28756 | 21 | 2.173 | 13233.3 |
1403 | 2025-07-17 09:43:12 | waits | 1 | 28756 | 21 | 1.486 | 19351.3 |
1402 | 2025-07-10 17:47:37 | waits | 1 | 28756 | 21 | 1.013 | 28387.0 |
1401 | 2025-07-09 13:57:04 | waits | 1 | 28756 | 21 | 2.266 | 12690.2 |
1400 | 2025-07-09 07:58:28 | waits | 2 | 53800 | 297 | 5.906 | 9109.4 |
1399 | 2025-07-06 23:49:02 | waits | 2 | 53800 | 297 | 1.813 | 29674.6 |
1398 | 2025-07-04 19:13:53 | waits | 2 | 53800 | 297 | 8.453 | 6364.6 |
1397 | 2025-07-04 07:08:13 | waits | 1 | 28756 | 21 | 2.453 | 11722.8 |
1396 | 2025-06-30 18:22:59 | waits | 1 | 28756 | 21 | 2.440 | 11785.2 |
1395 | 2025-06-29 12:07:13 | waits | 1 | 28756 | 21 | 0.500 | 57512.0 |
1394 | 2025-06-22 08:35:00 | waits | 1 | 28756 | 21 | 1.403 | 20496.1 |
1393 | 2025-06-18 14:25:48 | waits | 2 | 53800 | 297 | 8.080 | 6658.4 |
1392 | 2025-06-17 12:10:20 | waits | 1 | 28756 | 21 | 0.513 | 56054.6 |
1391 | 2025-06-17 05:51:12 | waits | 1 | 28756 | 21 | 0.516 | 55728.7 |
1390 | 2025-06-15 18:23:04 | waits | 1 | 28756 | 21 | 0.453 | 63479.0 |
1389 | 2025-06-11 16:14:24 | waits | 1 | 28756 | 21 | 0.453 | 63479.0 |
1388 | 2025-06-10 16:48:17 | waits | 1 | 28756 | 21 | 2.250 | 12780.4 |
1387 | 2025-06-10 11:42:03 | waits | 1 | 28756 | 21 | 2.343 | 12273.2 |
1386 | 2025-06-05 20:33:41 | waits | 1 | 28756 | 21 | 0.453 | 63479.0 |
1385 | 2025-06-05 18:02:53 | waits | 1 | 28756 | 21 | 0.453 | 63479.0 |
1384 | 2025-06-05 17:53:01 | waits | 1 | 28756 | 21 | 0.486 | 59168.7 |
1383 | 2025-06-03 14:52:56 | waits | 2 | 53800 | 297 | 1.656 | 32487.9 |
1382 | 2025-06-02 09:37:46 | waits | 1 | 28756 | 21 | 1.920 | 14977.1 |
1381 | 2025-06-02 05:18:37 | waits | 1 | 28756 | 21 | 2.546 | 11294.6 |
1380 | 2025-06-01 06:34:31 | waits | 1 | 28756 | 21 | 2.930 | 9814.3 |
1379 | 2025-05-31 07:10:12 | waits | 2 | 53800 | 297 | 5.516 | 9753.4 |
1378 | 2025-05-31 05:44:29 | waits | 1 | 28756 | 21 | 0.953 | 30174.2 |
1377 | 2025-05-31 00:42:35 | waits | 1 | 28756 | 21 | 2.486 | 11567.2 |
1376 | 2025-05-31 00:02:18 | waits | 2 | 53800 | 297 | 10.410 | 5168.1 |
1375 | 2025-05-30 11:04:58 | waits | 1 | 28756 | 21 | 2.800 | 10270.0 |
1374 | 2025-05-30 11:01:38 | waits | 2 | 53800 | 297 | 6.220 | 8649.5 |
1373 | 2025-05-29 18:45:28 | waits | 2 | 53800 | 297 | 1.436 | 37465.2 |
1372 | 2025-05-29 08:39:45 | waits | 1 | 28756 | 21 | 1.390 | 20687.8 |
1371 | 2025-05-27 18:20:31 | waits | 1 | 28756 | 21 | 0.550 | 52283.6 |
1370 | 2025-05-26 00:45:58 | waits | 2 | 53800 | 297 | 7.856 | 6848.3 |
1369 | 2025-05-25 13:29:04 | waits | 1 | 28756 | 21 | 0.516 | 55728.7 |
1368 | 2025-05-22 16:42:15 | waits | 2 | 53800 | 297 | 7.716 | 6972.5 |
1367 | 2025-05-20 06:00:28 | waits | 2 | 53800 | 297 | 10.436 | 5155.2 |
1366 | 2025-05-14 04:28:04 | waits | 1 | 28756 | 21 | 2.046 | 14054.7 |
1365 | 2025-05-12 00:36:56 | waits | 2 | 53800 | 297 | 8.186 | 6572.2 |
1364 | 2025-05-11 06:37:49 | waits | 2 | 53800 | 297 | 1.610 | 33416.1 |
1363 | 2025-05-11 04:28:39 | waits | 1 | 28756 | 21 | 0.983 | 29253.3 |
1362 | 2025-05-10 18:26:59 | waits | 1 | 28756 | 21 | 1.343 | 21411.8 |
1361 | 2025-05-10 17:53:54 | waits | 2 | 53800 | 297 | 6.890 | 7808.4 |
1360 | 2025-05-10 13:54:28 | waits | 1 | 28756 | 21 | 1.233 | 23322.0 |
1359 | 2025-05-09 15:19:52 | waits | 1 | 28756 | 21 | 0.513 | 56054.6 |
1358 | 2025-05-02 06:27:19 | waits | 1 | 28756 | 21 | 2.703 | 10638.5 |
1357 | 2025-05-01 19:20:30 | waits | 2 | 53800 | 297 | 1.533 | 35094.6 |
1356 | 2025-05-01 18:57:24 | waits | 2 | 53800 | 297 | 8.203 | 6558.6 |
1355 | 2025-04-30 07:45:32 | waits | 2 | 53800 | 297 | 8.233 | 6534.7 |
1354 | 2025-04-29 10:59:17 | waits | 1 | 28756 | 21 | 0.533 | 53951.2 |
1353 | 2025-04-28 09:04:00 | waits | 1 | 28756 | 21 | 1.250 | 23004.8 |
1352 | 2025-04-27 02:59:32 | waits | 1 | 28756 | 21 | 0.453 | 63479.0 |
1351 | 2025-04-27 02:58:32 | waits | 1 | 28756 | 21 | 1.063 | 27051.7 |
1350 | 2025-04-25 12:54:56 | waits | 1 | 28756 | 21 | 1.123 | 25606.4 |
1349 | 2025-04-18 12:11:39 | waits | 2 | 53800 | 297 | 6.533 | 8235.1 |
1348 | 2025-04-16 22:41:38 | waits | 2 | 53800 | 297 | 12.456 | 4319.2 |
1347 | 2025-04-14 08:02:02 | waits | 1 | 28756 | 21 | 1.250 | 23004.8 |
1346 | 2025-04-13 18:19:51 | waits | 2 | 53800 | 297 | 1.703 | 31591.3 |
1345 | 2025-04-10 16:17:36 | waits | 1 | 28756 | 21 | 0.500 | 57512.0 |
1344 | 2025-04-09 06:59:10 | waits | 2 | 53800 | 297 | 8.156 | 6596.4 |
1343 | 2025-04-08 11:17:27 | waits | 1 | 28756 | 21 | 1.076 | 26724.9 |
1342 | 2025-04-02 06:01:23 | waits | 1 | 28756 | 21 | 2.280 | 12612.3 |
1341 | 2025-04-01 03:40:04 | waits | 1 | 28756 | 21 | 1.920 | 14977.1 |
1340 | 2025-03-25 15:33:16 | waits | 1 | 28756 | 21 | 1.610 | 17860.9 |
1339 | 2025-03-23 22:56:27 | waits | 1 | 28756 | 21 | 2.466 | 11661.0 |
1338 | 2025-03-22 22:21:18 | waits | 1 | 28756 | 21 | 2.486 | 11567.2 |
1337 | 2025-03-18 02:02:33 | waits | 1 | 28756 | 21 | 2.343 | 12273.2 |
1336 | 2025-03-15 08:47:32 | waits | 1 | 28756 | 21 | 2.766 | 10396.2 |
1335 | 2025-03-15 00:22:37 | waits | 1 | 28756 | 21 | 0.720 | 39938.9 |
1334 | 2025-03-07 16:34:23 | waits | 1 | 28756 | 21 | 2.356 | 12205.4 |
1333 | 2025-03-03 06:51:40 | waits | 1 | 28756 | 21 | 1.610 | 17860.9 |
1332 | 2025-02-26 10:39:39 | waits | 2 | 53800 | 297 | 6.563 | 8197.5 |
1331 | 2025-02-26 08:00:44 | waits | 2 | 53800 | 297 | 5.716 | 9412.2 |
1330 | 2025-02-26 07:53:23 | waits | 1 | 28756 | 21 | 0.563 | 51076.4 |
1329 | 2025-02-26 05:47:18 | waits | 1 | 28756 | 21 | 0.513 | 56054.6 |
1328 | 2025-02-23 22:32:43 | waits | 1 | 28756 | 21 | 0.966 | 29768.1 |
1327 | 2025-02-22 19:35:49 | waits | 1 | 28756 | 21 | 3.703 | 7765.6 |
1326 | 2025-02-09 13:17:37 | waits | 2 | 53800 | 297 | 6.423 | 8376.1 |
1325 | 2025-02-05 13:05:09 | waits | 1 | 28756 | 21 | 2.500 | 11502.4 |
1324 | 2025-02-03 18:24:31 | waits | 1 | 28756 | 21 | 3.453 | 8327.8 |
1323 | 2025-01-27 10:49:54 | waits | 2 | 53800 | 297 | 5.156 | 10434.4 |
1322 | 2025-01-27 09:28:56 | waits | 2 | 53800 | 297 | 8.063 | 6672.5 |
1321 | 2025-01-26 17:34:41 | waits | 2 | 53800 | 297 | 7.906 | 6805.0 |
1320 | 2025-01-26 11:07:59 | waits | 1 | 28756 | 21 | 0.436 | 65954.1 |
1319 | 2025-01-26 09:24:58 | waits | 2 | 53800 | 297 | 1.720 | 31279.1 |
1318 | 2025-01-26 09:24:23 | waits | 1 | 28756 | 21 | 1.173 | 24514.9 |
1317 | 2025-01-26 08:24:58 | waits | 1 | 28756 | 21 | 2.593 | 11089.9 |
1316 | 2025-01-23 18:47:25 | waits | 1 | 28756 | 21 | 1.843 | 15602.8 |
1315 | 2025-01-17 05:23:33 | waits | 1 | 28756 | 21 | 1.360 | 21144.1 |
1314 | 2025-01-06 04:16:59 | waits | 1 | 28756 | 21 | 3.640 | 7900.0 |
1313 | 2024-12-27 12:34:26 | waits | 2 | 53800 | 297 | 6.423 | 8376.1 |
1312 | 2024-12-27 08:54:40 | waits | 1 | 28756 | 21 | 4.046 | 7107.3 |