hostname:analytics datasets> select dataset-007
hostname:analytics dataset-007> read 10 DATE/TIME /SEC /SEC BREAKDOWN 2015-10-14 21:25:19 137 - - 2015-10-14 21:25:20 215 - - 2015-10-14 21:25:21 156 - - 2015-10-14 21:25:22 171 - - 2015-10-14 21:25:23 2722 - - 2015-10-14 21:25:24 190 - - 2015-10-14 21:25:25 156 - - 2015-10-14 21:25:26 166 - - 2015-10-14 21:25:27 118 - - 2015-10-14 21:25:28 1354 - -
사용 가능한 경우 분석도 나열됩니다. 다음 예에서는 dataset-006에 해당하는 CPU 모드(사용자/커널)별로 분석된 CPU 사용률을 보여줍니다.
이 예에서 21:30:10 행은 14% 커널 시간과 1% 사용자 시간을 보여주며, 더해서 총 15% 사용률이 됩니다.
hostname:analytics datasets> select dataset-006 hostname:analytics dataset-006> read 5 DATE/TIME %UTIL %UTIL BREAKDOWN 2015-10-14 21:30:07 7 6 kernel 0 user 2015-10-14 21:30:08 7 7 kernel 0 user 2015-10-14 21:30:09 0 - - 2015-10-14 21:30:10 15 14 kernel 1 user 2015-10-14 21:30:11 25 24 kernel 1 user
hostname:analytics datasets> select dataset-022 hostname:analytics dataset-022> csv 10 Time (UTC),Operations per second 2015-03-21 18:30:02,0 2015-03-21 18:30:03,0 2015-03-21 18:30:04,0 2015-03-21 18:30:05,0 2015-03-21 18:30:06,0 2015-03-21 18:30:07,0 2015-03-21 18:30:08,0 2015-03-21 18:30:09,0 2015-03-21 18:30:10,0 2015-03-21 18:30:11,0