Openstack Ceilometer Cli学习
本文主要介绍Openstack Ceilometer 命令行学习及操作，学习分为Ceilometer采集查询，Ceilometer采集创建，Ceilometer采集删除等
Openstack Ceilometer CLi 查询
查询包括alarm-list（警告查询)、event-list（事件查询）、meter-list(采集查询，包括所有采集信息)、resource-list
、semple-list(采集查询)、trait-list
静态采集CPU数据
- 使用ceilometer sample-list -m cpu_util 直接查询
# ceilometer sample-list -m cpu_util
+--------------------------------------+----------+-------+-----------------+------+---------------------+
| Resource ID | Name | Type | Volume | Unit | Timestamp |
+--------------------------------------+----------+-------+-----------------+------+---------------------+
| 36290453-2b63-409a-b78f-20cf53275d8f | cpu_util | gauge | 7.29716193656 | % | 2015-06-29T08:32:51 |
| 966345db-50e5-4e0c-884c-ab3d6d8d3686 | cpu_util | gauge | 7.33722871452 | % | 2015-06-29T08:32:51 |
| d2898465-0678-4b2a-b6ef-0a4ebbce65e2 | cpu_util | gauge | 0.283333333333 | % | 2015-06-29T08:32:51 |
| ee4935ea-9539-4031-9b95-3548fb92bd18 | cpu_util | gauge | 7.36894824708 | % | 2015-06-29T08:32:50 |
| c1afd723-7da1-4765-a614-e364de9ac0d9 | cpu_util | gauge | 0.07 | % | 2015-06-29T08:32:50 |
| cd1c4ba4-81c3-4fe5-b731-41df58be16f6 | cpu_util | gauge | 4.65358931553 | % | 2015-06-29T08:32:49 |
| b4bce2ba-b287-474d-8277-ed9c72f1a943 | cpu_util | gauge | 8.65333333333 | % | 2015-06-29T08:32:49 |
| 1bd307a3-17b4-4bf9-a804-58adba35940e | cpu_util | gauge | 8.66777963272 | % | 2015-06-29T08:32:48 |
| 5fb34de9-bb44-4a49-8542-a8b3e2ad2c39 | cpu_util | gauge | 0.0333333333333 | % | 2015-06-29T08:32:48 |
| 8f3abd93-8ba6-40e5-84d3-441a608b4212 | cpu_util | gauge | 4.67362270451 | % | 2015-06-29T08:32:47 |
+--------------------------------------+----------+-------+-----------------+------+---------------------+
- 通过添加-l选项排序最大ID查询
# ceilometer sample-list -m cpu_util -l 5
+--------------------------------------+----------+-------+----------------+------+---------------------+
| Resource ID | Name | Type | Volume | Unit | Timestamp |
+--------------------------------------+----------+-------+----------------+------+---------------------+
| 36290453-2b63-409a-b78f-20cf53275d8f | cpu_util | gauge | 7.29716193656 | % | 2015-06-29T08:32:51 |
| 966345db-50e5-4e0c-884c-ab3d6d8d3686 | cpu_util | gauge | 7.33722871452 | % | 2015-06-29T08:32:51 |
| d2898465-0678-4b2a-b6ef-0a4ebbce65e2 | cpu_util | gauge | 0.283333333333 | % | 2015-06-29T08:32:51 |
| ee4935ea-9539-4031-9b95-3548fb92bd18 | cpu_util | gauge | 7.36894824708 | % | 2015-06-29T08:32:50 |
| c1afd723-7da1-4765-a614-e364de9ac0d9 | cpu_util | gauge | 0.07 | % | 2015-06-29T08:32:50 |
+--------------------------------------+----------+-------+----------------+------+---------------------+
列出所有采集项使用
ceilometer meter-list
#ceilometer meter-list
+----------------------------------------+------------+------------+-----------------------------------------------------------------------+------------------------------------------------+----------------------------------+
| Name | Type | Unit | Resource ID | User ID | Project ID |
+----------------------------------------+------------+------------+-----------------------------------------------------------------------+------------------------------------------------+----------------------------------+
| cpu | cumulative | ns | 003894a4-3c8e-4965-bf36-533375fc3407 | 66aa1213ea994344a110bf17ae999d96 | a9e4d648583a42c884d417f5b387fead |
| cpu | cumulative | ns | 0287dbfc-723d-42b8-a5e7-aa22807a6388 | 5e9bf02de68f49c187bf5893180c4b3e | 55dcc8c59414499885ae37e3906e2562 |
| cpu | cumulative | ns | 030e1f3d-82fe-4b23-8c63-87fbbb565781 | 3dbf0919d60d4025842e6ea149e4aeba | 3846bfe69b4a49948b8056d5f9c76859 |
| cpu | cumulative | ns | 05e1f2cf-3fd2-430a-8170-675aa916f7be | f827e1f13b3145d6b07d1cf3790b512d | bf87349ae6704a87af75ebe9546d4af6 |
| cpu | cumulative | ns | 08a65f4b-4812-4a4e-a91d-1ac7a2816992 | 3dbf0919d60d4025842e6ea149e4aeba | 3846bfe69b4a49948b8056d5f9c76859 |
| cpu | cumulative | ns | 09434053-b51a-4f57-a973-5fd42bbd0571 | 3dbf0919d60d4025842e6ea149e4aeba | 3846bfe69b4a49948b8056d5f9c76859 |
| cpu | cumulative | ns | 0da3f008-60d7-4b10-a7eb-b143a842a25b | 3dbf0919d60d4025842e6ea149e4aeba | 3846bfe69b4a49948b8056d5f9c76859 |
| cpu | cumulative | ns | 120f5583-878f-4f5d-b4f9-002022b4ead1 | 3dbf0919d60d4025842e6ea149e4aeba | 3846bfe69b4a49948b8056d5f9c76859 |
| cpu | cumulative | ns | 12c933e2-2ee9-4184-a8d0-fdea00fd9330 | 3dbf0919d60d4025842e6ea149e4aeba | 3846bfe69b4a49948b8056d5f9c76859 |
| cpu | cumulative | ns | 13ac82e2-3d66-4ab3-b0f4-cf606cab62e1 | 643e388a2ab04876a953f29b04a2a794 | bf87349ae6704a87af75ebe9546d4af6 |
| cpu | cumulative | ns | 14c84122-7d86-482b-9a41-c08d0aac4ba9 | b0b6f7142f8342da81977691029f30aa | 48c459a8a8e8452c849c8e2eff3e1e80 |
| cpu | cumulative | ns | 179f3e26-129f-4160-ac84-59367c5e5452 | c5b98121f0bb4e80aec5d1e87dee79b5 | aceb89cb587b493e96042b2cbf84ac8f |
| cpu | cumulative | ns | 196a590d-f44f-4b83-a9d6-7e94193e49ff | 3dbf0919d60d4025842e6ea149e4aeba | 3846bfe69b4a49948b8056d5f9c76859 |
| cpu | cumulative | ns | 19cbf520-ad46-473a-8b2b-0aa623608d87 | 66aa1213ea994344a110bf17ae999d96 | a9e4d648583a42c884d417f5b387fead |
| cpu | cumulative | ns | 1bd307a3-17b4-4bf9-a804-58adba35940e | 8b5aaedcae5d4a99aa75516c573483db | 8b410fa00a634856a7e3b5bb5f20e08c |
| cpu | cumulative | ns | 1d0b3241-96de-4fe9-a118-065898b99f0a | be0e831c54ea48e7969c22d676449374 | 722ab8ce061248d18e79d83e2a746249 |
| cpu | cumulative | ns | 1e6ce226-03aa-4fcb-a2c8-766be6c707a8 | 3dbf0919d60d4025842e6ea149e4aeba | 3846bfe69b4a49948b8056d5f9c76859 |
| volume.size | gauge | GB | fae3cdfc-5cbb-4589-bfbb-d6b73693250b | 32bcb1846dd94faf96cec6df500f1d94 | 04a8913a6b6f41a0b49cd3e8dfe71814 |
| volume.size | gauge | GB | fc7e408f-9c5e-4db9-b14c-35174fedb0f8 | f827e1f13b3145d6b07d1cf3790b512d | bf87349ae6704a87af75ebe9546d4af6 |
| volume.size | gauge | GB | fd0b6c37-7ed0-471e-9324-6bdbe4e009d4 | f827e1f13b3145d6b07d1cf3790b512d | bf87349ae6704a87af75ebe9546d4af6 |
| volume.size | gauge | GB | ff326414-8fb9-4dcf-8299-cc1e03c61534 | 66aa1213ea994344a110bf17ae999d96 | a9e4d648583a42c884d417f5b387fead |
+----------------------------------------+------------+------------+-----------------------------------------------------------------------+------------------------------------------------+----------------------------------+
- 警告采集
ceilometer alarm-list
# ceilometer alarm-list
+--------------------------------------+----------+-------------------+---------+------------+---------------------------------+------------------+
| Alarm ID | Name | State | Enabled | Continuous | Alarm condition | Time constraints |
+--------------------------------------+----------+-------------------+---------+------------+---------------------------------+------------------+
| a020c017-b2a9-422e-b1bc-c414c98091d1 | cpu_high | insufficient data | True | False | cpu_util > 70.0 during 3 x 600s | None |
+--------------------------------------+----------+-------------------+---------+------------+---------------------------------+------------------+
采集详细信息查询
可通过ceilometer show ID参数查看查询详细信息，包括alarm-show、event-show、sample-show获取
- alarm 警告详细查询
# ceilometer alarm-show a020c017-b2a9-422e-b1bc-c414c98091d1
+---------------------------+--------------------------------------+
| Property | Value |
+---------------------------+--------------------------------------+
| alarm_actions | [u'log://'] |
| alarm_id | a020c017-b2a9-422e-b1bc-c414c98091d1 |
| comparison_operator | gt |
| description | instance running hot |
| enabled | True |
| evaluation_periods | 3 |
| exclude_outliers | False |
| insufficient_data_actions | [] |
| meter_name | cpu_util |
| name | cpu_high |
| ok_actions | [] |
| period | 600 |
| project_id | |
| query | resource_id == INSTANCE_ID |
| repeat_actions | False |
| state | insufficient data |
| statistic | avg |
| threshold | 70.0 |
| type | threshold |
| user_id | 3dbf0919d60d4025842e6ea149e4aeba |
+---------------------------+--------------------------------------+
启用事件记录
默认情况下，Ceilometer没有启用事件记录，如需要启用事件记录，需要修改ceilometer.conf配置文件
#vim /etc/ceilometer/ceilometer.conf
修改:store_events=false
为： store_events=True
修改完成后需要重启服务生效。
事件查询
查询事件通过
ceilometer event-list查询
查询的事件列出了事件信息及类型，事件记录所有发生的事件，数据量较大。
查看事件类型
ceilometer event-type-list
# ceilometer event-type-list
+-------------------------+
| Event Type |
+-------------------------+
| floatingip.update.end |
| floatingip.update.start |
| identity.authenticate |
| member.create.end |
| member.create.start |
+-------------------------+
List trait info for an event type.
# ceilometer trait-description-list -e member.create.end
+------------+-----------+
| Trait Name | Data Type |
+------------+-----------+
| request_id | string |
| service | string |
| tenant_id | string |
+------------+-----------+
List trait list
[root@node-5 ~](controller)# ceilometer trait-list -e member.create.end -t request_id
+------------+------------------------------------------+-----------+
| Trait Name | Value | Data Type |
+------------+------------------------------------------+-----------+
| request_id | req-08300fd1-be12-4f42-a15c-6185489bc5ad | string |
| request_id | req-0bdcb6d3-6d25-4eb8-a0e1-9f306737154c | string |
| request_id | req-0fd4d68c-d069-4baf-b67a-bdc1069337e9 | string |
| request_id | req-121bc583-3b30-4976-8989-4ee2b9672d7b | string |
| request_id | req-179966dc-f4ca-4bdd-8392-d53d4d3ca8e4 | string |
| request_id | req-24703694-ef32-4718-8ccb-030b6ab8c3bb | string |
| request_id | req-24a2837a-65c4-4d04-af7f-617e08210801 | string |
| request_id | req-306651c6-cab4-465a-a5cb-28e18d54d1dd | string |
| request_id | req-3371968f-e49b-4871-897f-5ec8a7d4105d | string |
| request_id | req-33a76062-e4a9-4d9c-b53c-5c5597baaa4f | string |
| request_id | req-379d57ec-e593-40d2-93d9-bcb73b067d77 | string |