libvirt 基于C API基本使用案例
玩开源分享,需要有干到底的精神,今晚随便逛逛技术论坛突发有感;
Ruiy不足之处,需跟进了;
最近变的较懒了,干活有点没劲,也不怪干来干去收获不大,缺少鼓励!
现在玩的技术大多是上不了台面了,想过没,你在使用别人定义封装好的class(JAVA,C++等面向对象),感觉简单不,那就类似于洗衣机中预设的定时洗涤程序,伟大是人家设计者;
想要有搞头,那就自个搞搞class def（维度于CPP,.....）
C,CPP中你看那个软件包的devel中包含的header file文件,技术含量在那里面哈,你简单玩的那个简直上不了台面,伟大也在人家;
仅仅只想想简单玩玩(敷衍差事,瞎忽悠),那你就不照了哈;
Ruiy哥曾经试图阅读C include下 的相关header files,至今精力还未能投入其中;
Ruiy哥追求的就是尽量完成手头活,不妥不拉;
1,virConnectGetLibVersion
API call obtain the version of libvirt software in use on the host
it takes a connection pointer and unsigned long pointer as input,
aaarticlea/png;base64,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" alt="" />
2,virConnectGetVersion
API call obtain version of the host virtualization software in use
aaarticlea/png;base64,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" alt="" />
3,virConnectGetURI
API call obtain URI current connection
aaarticlea/png;base64,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" alt="" />
4,virConnectIsEncrypted
API call 判断以建立的virtualizationHypervisors 是否是加密的
aaarticlea/png;base64,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" alt="" />
5,virConnectIsSecure
API call 同上判断virtual conn 是否加密
if succesful returns 1 for a secure connection and 0 for an insecure connection
if an error occurred -1 will be returned;
aaarticlea/png;base64,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" alt="" />
aaarticlea/png;base64,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" alt="" />
6,libvirt Enevt loop integration;
libvirt APIs use a basic request/response architecture that is generally synchronous
libvirt application calls a libvirt API (the request) which doesn't return until the action is complete (the response)
a libvirtd server can also generate asynchronous messages and send them to
the libvirt application
7,by default when an error occurs,libvirt will call the virDefaultErrorFunc function which will print the error information to stderr,
virSetErrorFunc API call can be used to set a custom global error function that libvirt will call instead,it takes a viod
* pointer as input,and returns nothing,the custom error function should have function signature
typedef void (*virErrorFunc) (void *userData,virErrorPtr error);
following code demonstrates use virSetErrorFunc
//compile with: gcc -g -Wall virSerErrorFunc.c -o virSetErrorFunc -lvirt;
//by Ruiy
//stderr 0
//stdin 1
//stdout 2 #include <stdio.h>
#include <stdlib.h>
#include <libvirt/libvirt.h>
#include <libvirt/libvirt-qemu.h>
#include <libvirt/virterror.h> static void customErrorFunc(void *userdata,virErrorPtr err)
{
fprintf(stderr,"Failure of libvirt library cal: \n");
fprintf(stderr,"Code:%d \n",err->code);
fprintf(stderr,"Domain:%d\n",err->domain);
fprintf(stderr,"Message:%s \n",err->message);
fprintf(stderr,"Level:%d \n",err->level);
fprintf(stderr,"str1:%s \n",err->str1);
fprintf(stderr,"str2:%s \n",err->str2);
fprintf(stderr,"str3:%s \n",err->str3);
fprintf(stderr,"int1:%d \n",err->int1);
fprintf(stderr,"int2:%d \n",err->int2);
}
int main(int argc,char *argv[])
{
virConnectPtr conn;
virSetErrorFunc(NULL,customErrorFunc);
conn = virConnectOpen("qemu+tcp://root@192.168.1.143/system");
if (conn == NULL)
{
fprintf(stderr,"Failed to open connection to qemu+tcp://root@192.168.1.143/system");
return ;
}
if (virConnectGetVersion(conn,NULL) < )
fprintf(stderr,"virConnectGetVersion failed \n");l
virConnectClose(conn);
return ;
8,virConnSetErrorFunc
API call can be used to set a per-connection custom error handling function,if present,this per-connection error handling function will take precendence over the global
continue upGrade;
if (conn->handler)
conn->handler;
else if (global_handler)
global_handler;
else
virDefaultErrorFunc;
typedef void （*virErrorFunc） (void *userData,virErrorPtr error);
//example demonstrates
//cimpile with: gcc -g -Wall *.c -o execfiles -lvirt;
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <iostream>
#include <iomanip>
#include <>
using namespace std;
#include <libvirt/libvirt.h>
#include <libvirt/libvirt-qemu.h>
#include <libvirt/viererror.h> static void customConnErrorFunc(void *userdata,virErrorPtr err)
{
fprintf(stderr,"Connection handler,failure of libvirt library call: \n");
fprintf(stderr,"Code:%d \n",err->code);
fprintf(stderr,"Domain:%d \n",err->domain);
fprintf(stderr,"Message:%s \n",err->message);
fprintf(stderr,"Level:%d \n",err->level);
fprintf(stderr,"str1:%s \n",err->str1);
fprintf(stderr,"str2:%s \n",err->str2);
fprintf(stderr,"str3:%s \n",err->str3);
fprintf(stderr,"int1:%d \n",err->int1);
fprintf(stderr,"int2:%d \n",err->int2);
} static void customGlobalErrorFunc(void *userdata,virErrorPtr err)
{
fprintf(stderr,"Global handler,failer of libvirt library call: \n");
fprintf(stderr,"Code:%d \n",err->code);
fprintf(stderr,"Domain:%d \n",err->domain);
fprintf(stderr,"Message:%s \n",err->message);
fprintf(stderr,"Level:%d \n",err->level);
fprintf(stderr,"str1:%s \n",err->str1);
fprintf(stderr,"str2:%s \n",err->str2);
fprintf(stderr,"str3:%s \n",err->str3);
fprintf(stderr,"int1:%d \n",err->int1);
fprintf(stderr,"int2:%d \n",err->int2);
} int main(int argc,char *argc[])
{
virConnectPtr conn1;
virConnectPtr conn2;
//set a global error function for all connection
virSetErrorFunc(NULL,customGlobalErrorFunc);
}
9,virCopyLastError
API call obtain a copy last error reported from libvirt
error object is keep in thread local storage so separate threads can safely use this function concurrently,
//compile with: gcc -g -g -Wall *.c -o virCopyLastError -lvirt
#include <stdio.h>
#include <stdib.h>
#include <libvirt/libvirt.h>
#include <libvirt/virterror.h>
#include <libvirt/libvirt-qemu.h>
//dummy error function to suppress virDefaultErrorFunc
static void customErrorFunc(void *userdata,virErrorPtr err)
{}
int main(int argc,char *argv[])
{
virConnectPtr conn;
virError err;
virSetErrorFunc()
}
10,virResetError
api call to clear and free any memory associated with an virError object;
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <libvirt/libvirt.h>
#include <libvirt/libvirt-qemu.h>
#include <libvirt/virterror.h> //dummy error function to suppress virDefaultErrorFunc
static void customErrorFunc(void *userdata,virErrorPtr err)
{
} int main(int argc,char *argc[])
{
virConnectPtr conn;
virError err;
virSetErrorFunc(NULL,customErrorFunc);
conn = virConnectOpen("qemu:///system");
conn = virConnectOpen("qemu+tcp://localhost/system");
if (conn == NULL)
{
fprintf(stderr,"Failed to open connection to qemu:///system \n");
return ;
}
if (virConnectGetVersion(conn,NULL) < )
{
virCopyLastError(&err);
fprintf(stderr,"virConnectGetVersion Failed:%s \n",err.message);
virResetError(&err);
}
virConnectClose(conn);
return ;
}
11.virGetLastError
API call obtain a pointer to the last error reported from libvirt;
#include <stdio.h>
#include <stdlib.h>
#include <libvirt/libvirt.h>
#include <libvirt/virterror.h>
#include <libvirt/libbvirt-qemu.h> static void customErrorFunc(void *userdata,virerrorPtr err)
{}
int main(int argc,char *argv[])
{
virConnectPtr conn;
virErrorPtr err;
virSetErrorfunc(NULL,customErrorfunc); conn = virConnectOpen("qemu+tcp://libvirt.org/system");
if (conn == NULL)
{
fprintf(stderr,"Failed to open connection to qemu+tcp://libvirt.org/systsem" \n);
return ;
}
if (virconnectGetVersion(conn,NULL) < )
{
//this is a vailed way to use virgetLastErrorerr v= virgetLastError();
err = virGetLasteError();
fprintf(stderr,"virconnectGetVersion failed:%s \n",err->message);
}
if (virConnectGetVersion(conn,NULL) < )
{
//this is an invailed way to use virGetLastError; the error message will not reresent the error from virConnectGetVersion
}
err = virgetLastError();
virNodeGetFreeMemory(NULL);
frpintf(stderr,"virConnectGetVersion failed:%s \n",err->message);
}
12.virSaveLastError
API call to allocate and obtain a copy of the last error reported fromn libvirt;
/*compile with: gcc -g -Wall virSaveLastError.c -o virSaveLastError -lvirt*/
//dummy虚拟;
#include <stdio.h>
#include <stdlib.h>
#include <libvirt/libvirt.h>
#include <libvirt/libvirt-qemu.h>
#include <libvirt/virterror.h> //dummy function to suppress virDefaultErrorFunc
static void customErrorFunc(void *userdata,virErrorPtr)
{
} int main(int argc,char *argv[])
{
virConnectPtr conn;
virErrorPtr err;
virSetErrorFunc(NULL,customErrorFunc); }
13,debug/logging
log messages,log filters,log outputs;
priority level:
1 debug
2 info
3 warn
4 error
3,log outputs - where to send the message once it has passwd through filters,the format for a log output is one of the forms:
x:stderr - log to stderr
x:syslog:name - log to syslog with a prefix of "name"
x:file:file_path - log to a file specified by "file_path"
where "X" is the minimal priority level,for instance,to log all warnings and errors to syslog with a prefix of "libvirt",the following output cann be used:
3:syslog:libvirtd
14,integrated example
this example daemonstrates many of the concepts from the chapter together,including error checking,
while still not a "real" program (which would likely be multi-threaded),it's a good example of how to write a libvirt program from end to end;
15,guest domains
domain is an instance of an operating system running on a virtualized machine,a guest domain can refer to either a running virtual machine or a configuration which can be used launch a virtual machine,the connection object provides APIs to enumerate the guest domains,create new guest domains and manage existing domains,A guest domain is represented with the virDomainPtr object and has a number of unique identifiers;
Unique identifiers:
1. id:positive integer,unique amongstrunning guest domains on a single host,an inactive domain does not have an id,if the host OS is a virtual it is given a id of zero by default.for example,with the xen hypervisor,Dom0 indicates a guest domain,other domain ids will be allocated starting at 1,and incrementing each time a new domain starts,typically domain IDs will not be-used until the entire ID space warps around.the domain id space is at 16 bits in size,but often extends 32 bits
2.name:short string,unique amongst all guest domains on a single host,both running and inactive for maximum portability between hypervisors applications should only rely on being able to use the characters a-z,0-9 in names,many hypervisors will store inactive domain configurations as files on disk,based on the domain name;
uuid:16unsigned bytes,guaranteed to be unique amongst all guest domains on any host,RFC 4122 defines the format for UUIDs and provides a recommended algorithm for generating UUids with guaranteed uniqueness.if the host OS is itself a virtual domain,then by convention it will be given a uuid of all zeros,this is the case with the xen hypervisors,
a guest domain may be transient,or persistent,a transient guest domain can only be managed while it is running on the host and,when powered off,all trace of it will disappear.a persistent guest domain has its configuration maintained in a data store on the host by the hypervisor,in an implementation defined format,thus when a persistent guest is powered off,it is still possible to manage its inactive config,a transient guest can be truned into a persistent guest on the fly by defining a configuration for it
once an application has a unique identifier for a domain,it will often want to obtain the corresponding virDomainPtr object.there are three,imaginatively named,methods to do lookup existing domains,
virDomainLoopupByID,virDomainLookupByName and virDomainLookByUUID
each of these takes a connection object as first parameter,and the domain identifier as the other.
they will return NULL if no matching domain exists,the connections error object be queried to find specific detials of the error if required;
int domainID = 6;
virDomainPtr dom;
dom = virDomainLoopupByID(conn,domainID);
15.Example4.1 fetching a domain object from an ID
int domainName = "byRuiy";
virDomainPtr dom;
dom = virDomainLookupByName(conn,domainName);
Example 4.2 Fetch a domain object from an name
char *domainUUID = "";
virDomainPtr dom;
dom = virDomainLookupByUUIDString(conn,domainUUID);
example 4.3 Fetch a domain object from an UUID
for convenience of this document,the UUID example used the printable format of UUID,there is an equivalent method which accepts the raw bytes unsigned char[]
获取VMs域信息API函数
int domainID = 6;
virdomainPtr dom;
virDomainLoopupByUUIDString(conn,domainUUID);
virDomainLoopupByName(conn,domainName);
virDomainLookupByID(conn,domainID);
16.listing domains
the libvirt API exposes two lists of domains,the first contains running domains,while the second contains inactive,persistent domains.the lists are intended to be non-overlapping,exclusive sets,though there is always a small possibility that a domain can stop or start in between the querying of each set.the events API described later in this section provides a way to track all lifecycle changes avoiding this potential race condition;
API for listing active domains,returns a list of domain IDs.Every running domain has a positive integer ID,uniquely identifying it amongst all running domains on the host.the API for listing active domains,virConnectListDomains,requires the caller to pass in a pre-allocated int array which will be filled in domain IDs, the return value will be -1 upon error,or the total number of array elements filed,to determine how large to make the ID array,the application can use the API call virConnectNumofDomains.putting these two calls together,a fragment of code which printfs a list running domain IDs would be
int i;
int numDomains;
int *activeDomains;
numDomains = virConnectNumOfDomains(conn);
activeDomains = malloc(sizeof(int) * numDomains);
numDomains = virConnectListDomains(conn,activeDomains,numDomains);
printf("Active domain IDs: \n");
for (i = 0;i < numDomains;i++)
{
printf("%d \n",activeDomains[i]);
}
free(activeDomains);
Example 4.4 listing active domains
in addition to the running domains,there may be some persistent inactive domain configurations stored on the host,since an inactive domain not hace any ID identifier,the listing of inactive domains is exposed as a list of name strings,in a similar style to the API just discussed
inactive domains is exposed as a list of name strings,in a similar style to the API just discused
the virConnectListDefinedDomains API requires the callers to provide a pre-allocated
char * array which will beb filled with domain name strings.the return value will be -1 upon error ,or the total number of array elements filled with names it si the callers responsibility free mempry
Example4.5 listing inactive domains
the APIs for for listing domains do not directly return the full virDomainPtr objects,since this may incur
libvirt 基于C API基本使用案例的更多相关文章
- Angular SPA基于Ocelot API网关与IdentityServer4的身份认证与授权（四）
在上一讲中,我们已经完成了一个完整的案例,在这个案例中,我们可以通过Angular单页面应用(SPA)进行登录,然后通过后端的Ocelot API网关整合IdentityServer4完成身份认证.在 ...
- 基于Guava API实现异步通知和事件回调
本文节选自<设计模式就该这样学> 1 基于Java API实现通知机制 当小伙伴们在社区提问时,如果有设置指定用户回答,则对应的用户就会收到邮件通知,这就是观察者模式的一种应用场景.有些小 ...
- Atitit 游戏的通常流程 attilax 总结 基于cocos2d api
Atitit 游戏的通常流程 attilax 总结 基于cocos2d api 加载音效1 加载页面1 添加精灵1 设置随机位置2 移动2 垃圾gc2 点击evt2 爆炸效果3 定时生成精灵3 加载音 ...
- 基于Struts2框架实现登录案例 之 使用Struts2标签库简化表单+继承ActionSupport完成输入交验
一,使用Struts2标签库简化表单 在文章[基于Struts2框架实现登录案例]的基础上,通过使用Struts标签库可以简化登录页面login2.jsp <%@ page language=& ...
- 你也可以玩转Skype -- 基于Skype API开发外壳程序入门
原文:你也可以玩转Skype -- 基于Skype API开发外壳程序入门 Skype是目前这个星球上最厉害的IM+VOIP软件,Skype现在已经改变了全球2.8亿人的生活方式.你,值得拥有! :) ...
- 基于 Aliexpress API 的小程序 : 批量 Copy 产品到不同的店铺
第一个基于 Aliexpress API 的小程序 : 批量 Copy 产品到不同的店铺 还没来得及用 API 重写软件, 先写个小程序来缓解一下手工压力: 批量Copy 产品到不同的店铺. 开网店 ...
- AngularJS基于MVC的复杂操作案例
AngularJS基于MVC的复杂操作案例 <!DOCTYPE html> <html> <head> <meta charset="UTF-8&q ...
- 基于JWT的Token开发案例
代码地址如下:http://www.demodashi.com/demo/12531.html 0.准备工作 0-1运行环境 jdk1.8 maven 一个能支持以上两者的代码编辑器,作者使用的是ID ...
- 基于V2EX API的nodejs组件.
今天又学习到了新的知(zi)识(shi),来给自己做个笔录,也算在这酷热的天气里给自己写了一篇降温的‘膏药’,话就讲这么多了 ,start off...... 首先 ,依赖选择: /**设置为严格模式 ...
随机推荐
- .net邮件发送实例 邮件内容为网页模板
.net邮件发送实例 邮件内容为网页模板 2009-07-03 09:31:01| 分类: .NET|字号 订阅 Encoding encoding = Encoding.GetEncod ...
- 自定义鼠标Cursor转变成图片
今天无意做到项目遇到一个好玩的事情,就是当我鼠标移到一个链接上面,并不是像正常那样出现一个小手,而是变成一个小十字架, 下面看图当时第一眼看到总感觉哪里不对,噢噢噢噢 这样的 小手没了,居然是一个图片 ...
- JS 获取元素的属性值，非内联样式
//获取样式表的属性值,IE8及以下不兼容 ,方法 window.getComputedStyle(dom对象,"伪类").style属性; //IE8及以下获取样式表的属性值 ...
- web.xml配置详解 (及<context-param>配置作用 )
http://blog.csdn.net/guihaijinfen/article/details/8363839 <context-param>配置作用 http://blog.csdn ...
- 用css样式，为表格加入边框
Table 表格在没有添加 css 样式之前,是没有边框的.这样不便于我们后期合并单元格知识点的讲解,所以在这一节中我们为表格添加一些样式,为它添加边框. 在右侧代码编辑器中添加如下代码: <s ...
- Swift - 13 - 字符串和Character
//: Playground - noun: a place where people can play import UIKit var str = "hi" // 字符串拼接 ...
- nodejs原生模块简介
一.Express框架 前面的章节已经介绍过了,可以使用npm来安装node.js模块.具体操作请参照以前写的nodejs概论. Express是一个nodejs的web开源框架,用于快速的搭建web ...
- 最全java的读写操作（转载）
Java的I/O系统中的输入输出流为我们进行开发提供了很多便利,利用其强大的封装性,通过各种组合能够实现多种多样的功能.但是Java提供了很多输入输出流类,在概念和使用上有很多相似之处,所以给很多开发 ...
- java中的浮点计算
记得很久以前编写测试用例,无意间发现 double c=2.31;double d=0.1; System.out.println(c/d); 最后输出的竟然是23.099999999999998,而 ...
- plist解析, 简易实现.
源码 class Xml { public: typedef std::pair<std::wstring, std::wstring> NodeT; static std::vector ...