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https://issues.apache.org/jira/browse/CLOUDSTACK-8800?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15199573#comment-15199573
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ASF GitHub Bot commented on CLOUDSTACK-8800:
--------------------------------------------
Github user rafaelweingartner commented on a diff in the pull request:
https://github.com/apache/cloudstack/pull/780#discussion_r56508389
--- Diff:
plugins/hypervisors/kvm/src/com/cloud/hypervisor/kvm/resource/LibvirtComputingResource.java
---
@@ -3026,11 +3031,16 @@ public VmStatsEntry getVmStat(final Connect conn,
final String vmName) throws Li
try {
dm = getDomain(conn, vmName);
final DomainInfo info = dm.getInfo();
+ final MemoryStatistic[] mems = dm.memoryStats(NUMMEMSTATS);
//number of memory statistics required.
final VmStatsEntry stats = new VmStatsEntry();
+
stats.setNumCPUs(info.nrVirtCpu);
stats.setEntityType("vm");
+ stats.setMemoryKBs(info.maxMem);
+ stats.setTargetMemoryKBs(info.memory);
+ stats.setIntFreeMemoryKBs((double) mems[0].getValue());
--- End diff --
the same problem pointed out by @swill at line 3128, may happen here.
> Improve the listVirtualMachines API call to include memory utilization
> information for a VM
> -------------------------------------------------------------------------------------------
>
> Key: CLOUDSTACK-8800
> URL: https://issues.apache.org/jira/browse/CLOUDSTACK-8800
> Project: CloudStack
> Issue Type: Bug
> Security Level: Public(Anyone can view this level - this is the
> default.)
> Affects Versions: 4.5.2
> Reporter: Maneesha
> Assignee: Maneesha
> Fix For: 4.6.1
>
>
> Currently the feature of memory utilization is not available via API call
> (listVirtualMachines).
> https://cloudstack.apache.org/api/apidocs-4.5/root_admin/listVirtualMachines.html
>
> The listVirtualMachine get its values from the "user_vm_view" table in the
> database. Currently it shows the CPU utilization of the VM's.
> The only way to find out the memory utilization of VM's running on XenServer,
> is to run the "xentop" command on the pool master of the cluster.
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