红帽全球峰会2.4. 查看 Samples
要列出特定量表名称的所有示例，请使用：
# ceilometer sample-list --meter METER_NAME要只列出时间戳中特定资源的示例，请使用：
# ceilometer sample-list --meter METER_NAME --query 'resource_id=INSTANCE_ID;timestamp>_START_TIME_;timestamp>=END_TIME'其中 START_TIME 和 END_TIME 的格式是 iso-dateThh:mm:ss。
Example
要查询实例以获取 13:10:00 到 14:25:00 之间获取的示例，请使用：
# ceilometer sample-list --meter cpu --query 'resource_id=5056eda6-8a24-4f52-9cc4-c3ddb6fb4a69;timestamp>2015-01-12T13:10:00;timestamp>=2015-01-12T14:25:00'
+-------------------+------+------------+---------------+------+---------------------+
| Resource ID | Name | Type | Volume | Unit | Timestamp |
+-------------------+------+------------+---------------+------+---------------------+
| 5056eda6-8a24-... | cpu | cumulative | 3.5569e+11 | ns | 2015-01-12T14:21:44 |
| 5056eda6-8a24-... | cpu | cumulative | 3.0041e+11 | ns | 2015-01-12T14:11:45 |
| 5056eda6-8a24-... | cpu | cumulative | 2.4811e+11 | ns | 2015-01-12T14:01:54 |
| 5056eda6-8a24-... | cpu | cumulative | 1.3743e+11 | ns | 2015-01-12T13:30:54 |
| 5056eda6-8a24-... | cpu | cumulative | 84710000000.0 | ns | 2015-01-12T13:20:54 |
| 5056eda6-8a24-... | cpu | cumulative | 31170000000.0 | ns | 2015-01-12T13:10:54 |
+-------------------+------+------------+---------------+------+---------------------+
'%20d='M201.5%20305.5c-13.8%200-24.9-11.1-24.9-24.6%200-13.8%2011.1-24.9%2024.9-24.9%2013.6%200%2024.6%2011.1%2024.6%2024.9%200%2013.6-11.1%2024.6-24.6%2024.6zM504%20256c0%20137-111%20248-248%20248S8%20393%208%20256%20119%208%20256%208s248%20111%20248%20248zm-132.3-41.2c-9.4%200-17.7%203.9-23.8%2010-22.4-15.5-52.6-25.5-86.1-26.6l17.4-78.3%2055.4%2012.5c0%2013.6%2011.1%2024.6%2024.6%2024.6%2013.8%200%2024.9-11.3%2024.9-24.9s-11.1-24.9-24.9-24.9c-9.7%200-18%205.8-22.1%2013.8l-61.2-13.6c-3-.8-6.1%201.4-6.9%204.4l-19.1%2086.4c-33.2%201.4-63.1%2011.3-85.5%2026.8-6.1-6.4-14.7-10.2-24.1-10.2-34.9%200-46.3%2046.9-14.4%2062.8-1.1%205-1.7%2010.2-1.7%2015.5%200%2052.6%2059.2%2095.2%20132%2095.2%2073.1%200%20132.3-42.6%20132.3-95.2%200-5.3-.6-10.8-1.9-15.8%2031.3-16%2019.8-62.5-14.9-62.5zM302.8%20331c-18.2%2018.2-76.1%2017.9-93.6%200-2.2-2.2-6.1-2.2-8.3%200-2.5%202.5-2.5%206.4%200%208.6%2022.8%2022.8%2087.3%2022.8%20110.2%200%202.5-2.2%202.5-6.1%200-8.6-2.2-2.2-6.1-2.2-8.3%200zm7.7-75c-13.6%200-24.6%2011.1-24.6%2024.9%200%2013.6%2011.1%2024.6%2024.6%2024.6%2013.8%200%2024.9-11.1%2024.9-24.6%200-13.8-11-24.9-24.9-24.9z'/%3e%3c/svg%3e){kind=small}