CN110688130A - Physical machine deployment method, physical machine deployment device, readable storage medium and electronic equipment - Google Patents
Physical machine deployment method, physical machine deployment device, readable storage medium and electronic equipment Download PDFInfo
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Abstract
The embodiment of the invention provides a physical machine deployment method, a physical machine deployment device, a readable storage medium and electronic equipment, wherein the method comprises the following steps: configuring at least one type of functional program corresponding to the functional type of the physical machine in each of the plurality of physical machines, wherein the types of the functional programs configured on any two physical machines are at least partially different; according to the configuration log of each physical machine, whether at least one type of functional program configured in each physical machine is successfully installed is confirmed; the configuration log comprises installation information of at least one type of functional program configured by the physical machine; and if at least one type of functional program configured in the physical machine is successfully installed, adding the physical machine into a resource pool for cluster deployment so as to complete the cluster deployment. The technical problem of low physical machine deployment efficiency in the prior art is solved, and the technical effect of improving the deployment efficiency of the physical machine of the cluster structure is achieved.
Description
Technical Field
The invention belongs to the technical field of information, and particularly relates to a physical machine deployment method, a physical machine deployment device, a readable storage medium and electronic equipment.
Background
In the prior art, the physical machine is usually deployed in a manual deployment mode or an automatic deployment mode. When the number of physical machines to be deployed is large, manual deployment consumes a lot of manpower, deployment efficiency is low, and a manual deployment mode is prone to errors. The automatic deployment mode is based on the preset flow to deploy, and the error probability is low.
In the automatic deployment in the prior art, only one function type physical machine can be deployed in each deployment, and for a cluster structure requiring multiple function types of physical machines, multiple times of execution of a deployment process are required to complete the deployment of the physical machine of the cluster structure, so that the deployment efficiency is low.
Disclosure of Invention
The present invention provides a physical machine deployment method, apparatus, readable storage medium and electronic device, which aims to solve the above problems in the prior art.
In a first aspect, an embodiment of the present invention provides a physical machine deployment method, where the method includes:
configuring at least one type of functional program corresponding to the function type of the physical machine in each of a plurality of physical machines; the types of the functional programs configured by any two physical machines are at least partially different;
according to the configuration log of each physical machine, whether at least one type of functional program configured in each physical machine is installed successfully is confirmed; the configuration log comprises installation information of at least one type of functional program configured by the physical machine;
and if at least one type of functional program configured in the physical machine is successfully installed, adding the physical machine into a resource pool for cluster deployment so as to complete the cluster deployment.
Optionally, after the determining, according to the configuration log of each physical machine, whether the installation of at least one type of functional program configured in each physical machine is successful, the method further includes:
if at least one type of function program configured in the physical machine fails to be installed, reconfiguring the function program failed to be installed in the physical machine according to the configuration log and the installation flow table of the physical machine;
the installation flow table comprises a plurality of standard installation nodes which are used for configuring the functional program which is failed to be installed and need to be executed and execution time sequences of the standard installation nodes; the configuration log includes installation information that is an installation node corresponding to the execution timing; and when the functional program which is failed to be installed is successfully installed, the installation nodes correspond to the standard installation nodes one by one.
Optionally, the reconfiguring the functional program with failed installation in the physical machine according to the configuration log and the installation flow table of the physical machine includes:
determining the last installation node corresponding to the execution time sequence;
determining an initial standard installation node corresponding to the last installation node in the installation flow table;
obtaining the rest installation processes in the installation process table according to the initial standard installation node;
and reconfiguring the functional program with failed installation in the physical machine according to the residual installation process.
Optionally, the adding the physical machine into a resource pool for cluster deployment includes:
and recording the IP corresponding to each physical machine and the function type of each physical machine in the resource pool, wherein the IP corresponds to the function type.
Optionally, after adding the physical machine into a resource pool for cluster deployment if the installation of at least one type of functional program configured in the physical machine is successful, the method further includes:
acquiring a group of physical machines from the resource pool according to deployment requirements, wherein the group of physical machines comprises a plurality of physical machines;
and carrying out cluster deployment on the group of physical machines so that the group of physical machines form a cluster structure.
Optionally, the group of physical machines includes at least one first physical machine and at least one second physical machine, where the function type of the first physical machine is a control function, and the function type of the second physical machine is a calculation function.
Optionally, the performing cluster deployment on the group of physical machines includes:
controlling the physical machines to respectively execute functional programs corresponding to the respective function types of the physical machines;
and when the physical machine finishes executing the functional program, finishing cluster deployment.
In a second aspect, an embodiment of the present invention provides a physical machine deployment apparatus, where the apparatus includes:
the configuration module is used for configuring at least one type of functional program corresponding to the function type of the physical machine in each of a plurality of physical machines; the types of the functional programs configured by any two physical machines are at least partially different;
the detection module is used for confirming whether at least one type of functional programs configured in each physical machine is successfully installed according to the configuration log of each physical machine; the configuration log comprises installation information of at least one type of functional program configured by the physical machine;
and the deployment module is used for adding the physical machine into a resource pool for cluster deployment if at least one type of functional programs configured in the physical machine are successfully installed, so as to complete the cluster deployment.
In a third aspect, the present invention provides a readable storage medium, on which a computer program is stored, where the computer program is used to implement the steps of any one of the above methods when executed by a processor.
In a fourth aspect, an embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of any one of the methods described above when executing the program.
Compared with the prior art, the invention has the following beneficial effects:
the embodiment of the invention provides a physical machine deployment method, a physical machine deployment device, a readable storage medium and electronic equipment, wherein the method comprises the following steps: configuring at least one type of functional program corresponding to the functional type of the physical machine in each of the plurality of physical machines, wherein the types of the functional programs configured on any two physical machines are at least partially different; according to the configuration log of each physical machine, whether at least one type of functional program configured in each physical machine is successfully installed is confirmed; the configuration log comprises installation information of at least one type of functional program configured by the physical machine; and if at least one type of functional program configured in the physical machine is successfully installed, adding the physical machine into a resource pool for cluster deployment so as to complete the cluster deployment.
The method comprises the steps that at least one type of functional program corresponding to the functional type of a physical machine is configured in each of a plurality of physical machines, and the types of the functional programs configured by any two physical machines are at least partially different, so that the plurality of physical machines can be used as the physical machines in a cluster structure with multiple functional types, multiple configuration and deployment are not needed, whether the at least one type of functional program configured in each physical machine is successfully installed or not can be accurately confirmed according to a configuration log of each physical machine, if the at least one type of functional program configured in the physical machine is successfully installed, the physical machine is added into a resource pool for cluster deployment, when the cluster deployment is needed, a plurality of physical machines are obtained from the resource pool to complete the cluster deployment, the cluster structure with multiple functional types is obtained, and the deployment efficiency is improved. Therefore, the technical problem of low physical machine deployment efficiency in the prior art is solved, and the technical effect of improving the deployment efficiency of the physical machine of the cluster structure is achieved.
Additional features and advantages of embodiments of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 shows a flowchart of a physical machine deployment method provided by an embodiment of the present invention.
Fig. 2 shows a flow chart of another physical machine deployment method provided by the embodiment of the invention.
Fig. 3 is a flow chart of another physical machine deployment method provided by the embodiment of the invention.
Fig. 4 shows a flowchart of a physical machine deployment method provided by an embodiment of the present invention.
FIG. 5 illustrates yet another diagram of an automated deployment system architecture provided by an embodiment of the present invention.
Fig. 6 is a schematic block diagram illustrating a physical machine deployment apparatus 200 according to an embodiment of the present invention.
Fig. 7 is a schematic block diagram of an electronic device according to an embodiment of the present invention.
Icon: 200-a physical machine deployment device; 210-a configuration module; 220-a detection module; 230-a deployment module; 500-a bus; 501-a receiver; 502-a processor; 503-a transmitter; 504-a memory; 505-bus interface.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Nowadays, the physical machines of the cluster are deployed mainly in a manual deployment mode, that is, each physical machine of the cluster structure is manually installed with an application program and a system program. Alternatively, the same function program and system program are installed in a plurality of physical machines in a batch (automatic deployment). Manual deployment is prone to errors and low in efficiency, and for physical machines requiring different function types, a deployment process needs to be executed for multiple times to complete deployment of different function types in a batch deployment mode, so that deployment efficiency is low. When a problem occurs in a physical machine in the cluster structure, the physical machine needs to be formatted, and then the physical machine needs to be redeployed and installed, so that the deployment efficiency is low. For the automatic deployment mode, when the network of the deployment environment has a problem or the automatic deployment has a fault, the deployment of the cluster structure is ended, so that the cluster structure is not deployed successfully, and the flexibility and the debugging capability are poor.
Therefore, the embodiment provides a physical machine deployment method, a physical machine deployment device, a readable storage medium and an electronic device, so as to solve the technical problem of low physical machine deployment efficiency in the prior art, and achieve the technical effect of improving the deployment efficiency of a physical machine of a cluster structure. For specific embodiments thereof, reference is made to the examples described below.
Examples
In a first aspect, embodiments of the present invention provide a physical deployment method, which includes S101 to S103 shown in fig. 1.
S101: at least one type of function program corresponding to the function type of the physical machine is configured in each of the plurality of physical machines.
Wherein the types of the functional programs configured by any two physical machines are at least partially different.
S102: and confirming whether at least one type of functional programs configured in each physical machine is successfully installed or not according to the configuration log of each physical machine.
The configuration log comprises installation information of at least one type of functional program configured by the physical machine.
S103: and if at least one type of functional program configured in the physical machine is successfully installed, adding the physical machine into a resource pool for cluster deployment so as to complete the cluster deployment.
By adopting the scheme, at least one type of functional program corresponding to the functional type of the physical machine is configured in each of the physical machines, and the types of the functional programs configured by any two physical machines are at least partially different, so that the physical machines can be used as the physical machines in the cluster structure with multiple functional types, multiple configuration and deployment are not needed, whether the at least one type of functional program configured in each physical machine is successfully installed or not can be accurately confirmed according to the configuration log of each physical machine, if the at least one type of functional program configured in the physical machine is successfully installed, the physical machine is added into the resource pool for cluster deployment, when cluster deployment is needed, the multiple physical machines are obtained from the resource pool to complete the cluster deployment, the cluster structure with multiple functional types is further obtained, and the deployment efficiency is improved. Therefore, the technical problem of low physical machine deployment efficiency in the prior art is solved, and the technical effect of improving the deployment efficiency of the physical machine of the cluster structure is achieved.
In order to further disclose the technical solutions and the technical effects achieved by the present application, S101, S102 and S103 are described below respectively.
With respect to S101, the function type may be one or more of a control function, a calculation function, and a storage function, among others. The control function corresponds to a control function program, and when the physical machine executes the control function program, the physical machine can realize the control function. The computing function corresponds to a computing function program, and when the physical machine executes the computing function program, the physical machine can realize the computing function. The storage function corresponds to a storage function program, and when the physical machine executes the storage function program, the physical machine can realize the storage function.
In a plurality of physical machines, there may be a case where the function types of the physical machines are a control function, a calculation function, and a storage function, and at this time, it is necessary to configure and install a control function program, a calculation function program, and a storage function program in the physical machines so that the physical machines can realize the control function, the calculation function, and the storage function. In this case, the physical machine is only required to be deployed once, and the physical machine can be deployed and installed with various functional programs. It may also be that the function types of each physical machine are different, that is, the plurality of physical machines at least include a first physical machine and a second physical machine, the function type of the first physical machine includes first function information, the function type of the second physical machine includes second function information, the first function information and the second function information are different, the first function information may be any one of a control function, a calculation function, and a storage function, and the second function information may be one of the control function, the calculation function, and the storage function that is different from the first function information.
However, to implement the installation of the functional program in the physical machine, before S101, the system program needs to be configured in the physical machine so that the physical machine can execute the functional program in the environment based on the system program to implement the corresponding function thereof.
When a certain function needs to be enhanced in the cluster structure, several physical machines with the function can be configured. For example, if three physical machines capable of implementing a control function and one physical machine capable of implementing a computing function are required in the cluster structure, four physical machines are included in the plurality of physical machines, a control function program is configured in three physical machines, and a computing function program is configured in one physical machine. If four physical machines capable of implementing a control function, three physical machines capable of implementing a calculation function, and six physical machines capable of executing a storage function are required in the cluster structure, the plurality of physical machines include thirteen physical machines, control function programs are configured in the four physical machines, calculation function programs are configured in the three physical machines, and storage function programs are configured in the six physical machines. Or, in a cluster structure including three physical machines, a control function of three computers and a storage function of one computer are required, and then a control function program is configured in the three physical machines, and a storage function program is configured in one of the three computers. If a computer is required to implement a computational function, a computational function program is required to be configured in one of the computers.
The method for configuring the function type of the physical machine in the multiple physical machines comprises the following steps of:
and determining an installation mode, wherein the installation mode comprises network installation and medium installation (manual installation), and the determination of the installation transmission mode is specifically selecting network installation or medium installation.
After the installation mode is determined, if manual installation is selected, manual configuration and installation are carried out on the physical machine manually, and after the functional program and the system program are configured in the physical machine, the physical machine is set to the resource pool so as to complete cluster deployment. After the physical machine is manually installed, the IP and the function type manually configured for the physical machine are recorded into an excel file, then the IP and the function type of the physical machine can be obtained from the excel file in an automatic deployment mode, and the IP and the function type are placed into a resource pool.
After the installation mode is determined, if the network installation is selected, the physical machine needing configuration is determined after the network installation is selected. The physical machine to be configured is determined to be the physical machine to be configured, and one physical machine or a plurality of physical machines can be selected.
After a physical machine to be configured is selected, a Dynamic Host Configuration Protocol (DHCP) is set, the selected physical machine is powered on, an IP address is configured for the selected physical machine through the DHCP, and each physical machine corresponds to one IP address.
After the IP address is configured for the physical machine, the information of the physical machine corresponding to the IP address is obtained through the DHCP according to the IP address, and the information of the physical machine comprises information such as the memory and the network position of the physical machine.
After obtaining the information of the physical machine is completed, the node type of the physical machine is determined, that is, the function type of the physical machine is determined, and the function type may include one or more of a control function, a calculation function, and a storage function. After determining the function type (node type) of the physical machine, the physical machine is restarted, and the physical machine executes the operation of installing the function program. In the installation process, if the installation node is successfully installed, the installation node is recorded in the configuration log. As an optional implementation manner, for the above operations of determining an installation manner, determining a physical machine to be configured, setting a dynamic host setting protocol, and booting the selected physical machine, if the operations are successful, recording a corresponding configuration node in a configuration log.
After the functional program is installed in the physical machine, there may be a situation that the functional program is not successfully installed in the physical machine, and if the physical machine is directly subjected to cluster deployment, the cluster configuration fails to be deployed, the cluster deployment efficiency is low, and resources are relatively wasted. Therefore, in order to save resources and improve deployment efficiency, before cluster deployment is performed on the physical machine, it is required to detect whether the installation of the functional program in the physical machine is successful, that is, to execute S102.
Before describing S102, it should be noted that, when installing the functional program and the system program in the physical machine, the installation operation is executed according to an installation flow in the installation flow table, where the installation flow includes one or more installation nodes and a time sequence for executing the installation nodes, and each functional program corresponds to one installation flow. When an install operation (install node) is completed, the install node is recorded into the configuration log. When the functional program and/or the system program are configured and installed in the physical machine, each configuration node and each installation node are recorded in the configuration log, so that the installation process can be checked later, the installation nodes can be positioned quickly, and the configuration efficiency is improved. Then, it is confirmed whether the installation of at least one type of function program configured in each physical machine is successful according to the configuration log of each physical machine (i.e., S102 is performed).
For S102, specifically: and for each functional program, detecting whether the configuration log comprises all installation nodes in the installation flow corresponding to the functional program, if so, confirming that the class functional program configured in the physical machine is successfully installed, and otherwise, confirming that the class functional program configured in the physical machine is not successfully installed. Meanwhile, it is also necessary to confirm whether the system program configured in the physical machine is successfully installed, that is, whether all installation nodes in the installation flow corresponding to the system program in the configuration log are detected, if yes, it is confirmed that the system program is successfully installed, and if not, it is confirmed that the system program is not successfully installed. When configuring and installing a plurality of functional programs in a physical machine, it is necessary to check an installation log for an installation procedure corresponding to each functional program to determine whether the installation of the functional program is successful.
If the installation of at least one type of functional program configured in the physical machine is successful, adding the physical machine into the resource pool for cluster deployment, namely executing S103. Adding a physical machine into a resource pool for cluster deployment, specifically, setting an IP of the physical machine into the resource pool, that is, adding the physical machine into the resource pool for cluster deployment specifically includes: and recording the IP corresponding to each physical machine and the function type of each physical machine in the resource pool, wherein the IP corresponds to the function type.
When cluster deployment is needed, an IP with a function needed by a cluster structure is selected from a resource pool, and cluster deployment is conducted on a physical machine corresponding to the selected IP, so that the cluster structure with multiple function types is obtained. Namely, the method further comprises the steps of acquiring a group of physical machines from the resource pool according to the deployment requirement, wherein the group of physical machines comprises a plurality of physical machines, and performing cluster deployment according to the group of physical machines. The selected set of physical machines includes at least one first physical machine and at least one second physical machine, the function type of the first physical machine is a control function, and the function type of the second physical machine is a calculation function.
In order to ensure that the stability of the cluster structure is improved, the cluster structure at least comprises three first physical machines. When a problem occurs in a certain first physical machine in the cluster structure, the first physical machine with the problem can be accurately determined through a voting mechanism, that is, if only two first physical machines exist, when a problem occurs in a certain first physical machine, another first physical machine without the problem gives a vote to the first physical machine with the problem, and the first physical machine with the problem also gives a vote to the first physical machine without the problem, at this time, the number of votes obtained by the two physical machines is 1, and the number of votes obtained by no physical machine exceeds half 1 of 2, so that the physical machine with the problem really occurs cannot be found. If there are three first physical machines, when a problem occurs in one first physical machine, the other two first physical machines vote for the first physical machine with the problem, at this time, the number of votes obtained by the first physical machine with the problem exceeds 2, and the half number of 2 exceeds 3 is 1.5, and at this time, it can be confirmed that the first physical machine with the number of votes obtained exceeding half is the physical machine with the problem. In the case of more than three first physical machines, the number of votes obtained by the first physical machine with the problem exceeds half of the number of all the physical machines, so that the physical machine with the problem can be accurately found.
After selecting a group of physical machines, performing cluster deployment on the selected group of physical machines, specifically: and controlling the physical machines to respectively execute the functional programs corresponding to the respective function types of the physical machines, and when the physical machines finish executing the functional programs, finishing cluster deployment to obtain a cluster structure capable of executing multiple function types.
In the prior art, when a physical machine in a cluster structure has a problem and cannot normally execute its function, or some physical machines need to be discarded because of excess capacity of the cluster structure, the physical machine having the problem and/or the physical machine needing to be discarded are discarded, and the physical machine is not effectively managed, which results in waste of resources. When the cluster structure needs to be deployed or the functions in the cluster structure need to be enhanced, the physical machine needs to be configured and installed, and then the cluster deployment is performed by the physical machine, so that the operation is complex, the time is wasted, and the deployment efficiency is low.
For this purpose, after the cluster deployment is performed to obtain the cluster structure, the method further includes: if the physical machine in the cluster structure has a problem and cannot normally execute the function of the physical machine, or some physical machines need to be abandoned because of the excess capacity of the cluster structure, the physical machine with the problem and/or the physical machine needing to be abandoned are put into a resource pool, and the IP of the physical machine is specifically set to the resource pool, so that the resources are saved. When the cluster structure needs to be deployed or the functions in the cluster structure need to be enhanced, the physical machine corresponding to the required functions is obtained from the resource pool, and the operation of configuring and installing the physical machine does not need to be executed again in time, so that the operation is simple and the deployment efficiency is high. Namely, the physical machine is managed through the resource pool, and the deployment efficiency is improved.
In order to improve the availability of the physical machine in the cluster structure, when the physical machine fails to deploy and install the functional program and the system program, the functional program and the system program need to be reconfigured and installed in the physical machine. After S103, the method further includes S104 as shown in fig. 2: if at least one type of function program configured in the physical machine fails to be installed, reconfiguring the function program failed to be installed in the physical machine according to the configuration log and the installation flow table of the physical machine. The installation flow table comprises a plurality of standard installation nodes and execution time sequences of the standard installation nodes, wherein the execution time sequences are used for configuring the execution of the functional program which fails to be installed. The configuration log includes installation information that is an installation node corresponding to the execution timing; and when the functional program which is failed to be installed is successfully installed, the installation nodes correspond to the plurality of standard installation nodes one to one. The method for relocating the system program is similar to the method for relocating the function program, that is, if the system program configured in the physical machine fails to be installed, the system program which fails to be installed is reconfigured in the physical machine according to the configuration log corresponding to the system program and the installation flow in the installation flow table.
Through S104, the success rate of physical machine deployment is improved, and the resource utilization rate is improved.
For a functional program which is relocated and fails to be configured and installed in a physical machine, in the prior art, when the functional program configured in the physical machine fails to be installed, all data of the functional program in the physical machine needs to be formatted, the functional program is reconfigured for the physical machine, and an installation flow is executed from the beginning again to complete installation of the functional program. This approach has the following problems: first, the data needed to format the functional program already in the physical machine system may be useful data formatted, thereby wasting resources. Secondly, the installation process needs to be executed again, the time required for reinstallation is long from the beginning, the operation is complex, and the deployment efficiency is low.
In order to solve the above-mentioned deficiency of relocating the function program which fails to be configured and installed in the physical machine in the prior art, the function program which fails to be configured and installed in the physical machine again provided by the embodiment of the present invention includes S104-1 to S104-4 shown in fig. 3. S104-1 to S104-4 are described below with reference to FIG. 2 and FIG. 3.
S104-1: and determining the last installation node corresponding to the execution time sequence.
That is, the last installation node is determined in the configuration log, and the last installation node represents the last node where the functional program is successfully installed in the physical machine.
S104-2: and determining a starting standard installation node corresponding to the last installation node in the installation flow table.
S104-3: and installing the nodes according to the initial standard to obtain the rest installation processes in the installation process table.
And the target installation node is an installation node in the installation flow corresponding to the functional program which is not included in the configuration log.
S104-4: and reconfiguring the functional program with failed installation in the physical machine according to the rest installation processes.
I.e. from the last installation node onwards to configure and install the function.
Compared with the prior art, through the S104-1 to the S104-3, the data of all the functional programs do not need to be formatted and installed from the beginning, resources are saved, meanwhile, numerous and complex configuration and redundant installation operations do not need to be carried out, and the last installation node which is successfully installed starts to configure and install the functional programs backwards, so that the installation and configuration time is saved, and the deployment efficiency is improved.
In order to clearly and more clearly illustrate the above technical solution, the present invention provides an alternative embodiment, please refer to fig. 4 and fig. 5 in combination.
S201: a master program is set in a main physical machine or a server to make the physical machine function as a console, which is called a master physical machine. Meanwhile, a Preboot execution environment (PXE) is set in the master physical machine, and the image file is set in the master physical machine. The host physical machine is a physical machine.
S202: the automated deployment system is started.
S203: and judging whether the installation mode is automatic installation. Before S203, it is necessary to select an installation manner, that is, to select automatic installation or media installation (manual installation).
S204: if the installation is automatic, selecting a physical machine, namely selecting one or more physical machines to be installed.
S205: and configuring DHCP between the master physical machine and the selected one or more physical machines.
S206: and controlling one or more physical machines to start up, and configuring an IP (Internet protocol) for each physical machine through a DHCP (dynamic host configuration protocol). One physical machine corresponds to one IP.
S207: and the master physical machine acquires the information of each physical machine through the DHCP.
Specifically, the IP of each physical machine is obtained through the DHCP, each IP is sent to the master physical machine, and the master physical machine obtains the information of each physical machine through the DHCP. The information of the physical machine includes an IP of the physical machine, a memory of the physical machine, and the like.
S208: and configuring the function types for each physical machine. For each physical machine, one or more function types may be configured according to the memory information thereof, and these function types include a control (controller) function, a calculation (computer) function, and a storage (storage) function. And network cards are required to be configured for the physical configurations. Where system programs and functional programs need to be distributed to physical machines.
S209: and restarting the physical machine. When the physical machine is restarted, the physical machine is provided with a system program and a function program, a ks file is generated in the master physical machine, the ks file is placed in an operating system (the operating system corresponds to the system file) in each node (the physical machine), and a package corresponding to the function type is installed according to different node types (function types).
S210: after the system program and the functional program are installed in the physical machine, the physical machine is set to the resource pool.
S211: when cluster deployment is needed, cluster nodes (physical machines) are selected from the resource pool.
S212: and running the function script of the selected physical machine, and then successfully deploying the cluster environment to obtain a cluster structure. When the script is run, the function program of each node is started, so that the selected nodes (physical machines) form a complete cluster (cluster structure).
If the media installation is selected, after the manual installation is completed, writing the IP and the function type (node type) of the physical machine into an excel file, obtaining the IP and the function type of the physical machine from the excel file through an automatic deployment system started in S202, and placing the IP and the function type into a resource pool.
In order to implement the physical machine deployment method, an embodiment of the present invention further provides an automatic deployment system, and the steps S201 to S212 may be implemented based on the automatic deployment system. The automated deployment system includes a customization module and a deployment module. The customization module is used for customizing some services and functions according to requirements, such as customizing ISO configuration files, customizing some application programs and the like. And storing the customized configuration file into a configuration library, and storing the customized application program into an application library. When the deployment module needs, the configuration file and the application program are obtained from the application library and the configuration library. The deployment module comprises a deployment environment preparation unit, a configuration unit, an application unit and a policy unit. The deployment environment preparation unit is used for configuring the deployment environment, the configuration unit is used for obtaining the configuration file, the application unit is used for obtaining the application program, and the strategy unit is used for setting the deployment strategy.
For the policy unit, it may perform the steps described in S203 to S212 when it implements the function, that is, when automatic deployment is selected, the IP and the deployment function program (application program) and the system program (configuration file) are distributed to the physical machine based on the DHCP server with the DHCP service function. Multiple physical machines may be deployed simultaneously, such as physical machine 1, physical machine 2, physical machine 3, etc. as shown in FIG. 5. If manual deployment is selected, one or more physical machines are manually deployed through the fixed-value ISO configuration file, for example, the physical machine 4, the physical machine 5 and the physical machine 6 are deployed.
After the physical machines are deployed, the physical machines are placed in a resource pool, and then the physical machines are classified according to the function types of the physical machines, each type of physical machine is taken as a small set, for example, if the function types of the physical machines 1, 2 and 3 are control functions, the physical machines 1, 2 and 3 are classified and arranged in a control (controller) resource pool, if the function type of the physical machine 4 is a computing function, the physical machine 4 is classified and arranged in a computing (computer) resource pool, if the function types of the physical machines 5 and 6 are storage functions, the physical machines 5 and 6 are classified and arranged in a storage (storage) resource pool. The control (controller) resource pool, the computing (computer) resource pool and the storage (storage) resource pool are in a cluster environment of an open stack (openstack). It should be noted that the automation deployment system is arranged in the master physical machine.
The master node is deployed through an optical disc by the automated deployment system shown in fig. 5 and the physical machine deployment method shown in fig. 4. The node is deployed with PXE, stores DHCP and TFTP clients, automatically deploys projects, and takes a master node as a process management node of the whole deployment project. And starting an automatic deployment project, DHCP service and TFTP service. And selecting an installation mode. The method comprises the steps of network installation and medium installation, wherein the network installation is suitable for large-scale batch deployment, and the medium installation is suitable for small-scale single deployment. And selecting the installation quantity, single installation or batch installation. And setting DHCP service, subnet mask, network segment, gateway and master ip. And starting the physical machine to be deployed, and carrying out ip distribution on the physical machine through DHCP. The detection node and the master node are provided with a small kernel system, and the system is used for acquiring information of each node through ip, such as a CPU, a memory, a hard disk and the like. The node types are divided into three types, namely controller (control), computer (calculation) and storage, and one node can be selected from a single type or two or three types which are freely combined. Setting network type, communication network, tunnel network, external network, etc. and setting network card ip. And restarting the physical machine, writing the previously acquired information and the configured information into a kiskstart.ks file in the process, selecting a corresponding package according to the selected node type, and starting to install the operating system. And putting the installed physical machine into a resource pool, wherein the resource pool of the physical machine is divided into a control node pool (controller pool), a computing node pool (computer pool) and a storage node pool (storegepool). Selecting cluster nodes, selecting physical machines from a physical machine resource pool to form an openstack cluster, wherein 3 controller nodes, 1 computer node and storage nodes can be selected at will when the cluster is built. And running a high-availability cluster script, adding the selected physical machine into the cluster by the script, starting related services according to the node type of the physical machine, and successfully deploying a complete cluster when all the services are normally started. The script has a service detection function, can support breakpoint installation and improves the flexibility of installation and deployment.
By adopting the scheme, at least one type of functional program corresponding to the functional type of the physical machine is configured in each of the physical machines, and the types of the functional programs configured by any two physical machines are at least partially different, so that the physical machines can be used as the physical machines in the cluster structure with multiple functional types, multiple configuration and deployment are not needed, whether the at least one type of functional program configured in each physical machine is successfully installed or not can be accurately confirmed according to the configuration log of each physical machine, if the at least one type of functional program configured in the physical machine is successfully installed, the physical machine is added into the resource pool for cluster deployment, when cluster deployment is needed, the multiple physical machines are obtained from the resource pool to complete the cluster deployment, the cluster structure with multiple functional types is further obtained, and the deployment efficiency is improved. Therefore, the technical problem of low physical machine deployment efficiency in the prior art is solved, and the technical effect of improving the deployment efficiency of the physical machine of the cluster structure is achieved.
In a second aspect, a physical machine deployment method is provided for the foregoing embodiment, and an execution subject for executing the foregoing steps is correspondingly provided in the embodiment of the present application, where the execution subject may be the physical machine deployment device 200 in fig. 6. Referring to fig. 6, the physical machine deployment apparatus 200 includes:
a configuration module 210, configured to configure at least one type of function program corresponding to a function type of a physical machine in each of a plurality of physical machines; the types of the functional programs configured by any two physical machines are at least partially different;
a detecting module 220, configured to determine whether at least one type of functional program configured in each of the physical machines is successfully installed according to the configuration log of each of the physical machines; the configuration log comprises installation information of at least one type of functional program configured by the physical machine;
a deployment module 230, configured to, if the installation of the at least one type of functional program configured in the physical machine is successful, add the physical machine into a resource pool for cluster deployment, so as to complete the cluster deployment.
Optionally, the configuration module 210 is further configured to,
if at least one type of function program configured in the physical machine fails to be installed, reconfiguring the function program failed to be installed in the physical machine according to the configuration log and the installation flow table of the physical machine;
the installation flow table comprises a plurality of standard installation nodes which are used for configuring the functional program which is failed to be installed and need to be executed and execution time sequences of the standard installation nodes; the configuration log includes installation information that is an installation node corresponding to the execution timing; and when the functional program which is failed to be installed is successfully installed, the installation nodes correspond to the standard installation nodes one by one.
Optionally, the configuration module 210 is further configured to,
determining the last installation node corresponding to the execution time sequence;
determining an initial standard installation node corresponding to the last installation node in the installation flow table;
obtaining the rest installation processes in the installation process table according to the initial standard installation node;
and reconfiguring the functional program with failed installation in the physical machine according to the residual installation process.
Optionally, the deployment module 230 is further configured to add the physical machine into a resource pool for cluster deployment, where the adding includes:
and recording the IP corresponding to each physical machine and the function type of each physical machine in the resource pool, wherein the IP corresponds to the function type.
Optionally, the deployment module 230 is further configured to, according to a deployment requirement, obtain a set of physical machines from the resource pool, where the set of physical machines includes multiple physical machines;
and carrying out cluster deployment on the group of physical machines so that the group of physical machines form a cluster structure.
Optionally, the deployment module 230 is further configured to control the physical machines to respectively execute the functional programs corresponding to the respective functional types of the physical machines;
and when the physical machine finishes executing the functional program, finishing cluster deployment.
With regard to the system in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
In a third aspect, an embodiment of the present invention further provides an electronic device, as shown in fig. 7, including a memory 504, a processor 502, and a computer program stored on the memory 504 and executable on the processor 502, where the processor 502 implements the steps of any one of the physical deployment methods described above when executing the program.
Where in fig. 7 a bus architecture (represented by bus 500) is shown, bus 500 may include any number of interconnected buses and bridges, and bus 500 links together various circuits including one or more processors, represented by processor 502, and memory, represented by memory 504. The bus 500 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 505 provides an interface between the bus 500 and the receiver 501 and transmitter 503. The receiver 501 and the transmitter 503 may be the same element, i.e. a transceiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 502 is responsible for managing the bus 500 and general processing, and the memory 504 may be used for storing data used by the processor 502 in performing operations.
In a fourth aspect, the embodiments of the present invention further provide a readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of any one of the methods of physical deployment described above.
Wherein the readable storage medium may be readable by a computer. The electronic device may be a master physical machine as described above.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components in an apparatus according to an embodiment of the invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
Claims (10)
1. A method of physical machine deployment, the method comprising:
configuring at least one type of functional program corresponding to the function type of the physical machine in each of a plurality of physical machines; the types of the functional programs configured by any two physical machines are at least partially different;
according to the configuration log of each physical machine, whether at least one type of functional program configured in each physical machine is installed successfully is confirmed; the configuration log comprises installation information of at least one type of functional program configured by the physical machine;
and if at least one type of functional program configured in the physical machine is successfully installed, adding the physical machine into a resource pool for cluster deployment so as to complete the cluster deployment.
2. The method of claim 1, wherein after the confirming whether the installation of the at least one type of functional program configured in each of the physical machines is successful according to the configuration log of each of the physical machines, the method further comprises:
if at least one type of function program configured in the physical machine fails to be installed, reconfiguring the function program failed to be installed in the physical machine according to the configuration log and the installation flow table of the physical machine;
the installation flow table comprises a plurality of standard installation nodes which are used for configuring the functional program which is failed to be installed and need to be executed and execution time sequences of the standard installation nodes; the configuration log includes installation information that is an installation node corresponding to the execution timing; and when the functional program which is failed to be installed is successfully installed, the installation nodes correspond to the standard installation nodes one by one.
3. The method of claim 2, wherein reconfiguring the failed installation function in the physical machine according to the configuration log and the installation flow table of the physical machine comprises:
determining the last installation node corresponding to the execution time sequence;
determining an initial standard installation node corresponding to the last installation node in the installation flow table;
obtaining the rest installation processes in the installation process table according to the initial standard installation node;
and reconfiguring the functional program with failed installation in the physical machine according to the residual installation process.
4. The method of claim 3, wherein the joining the physical machine to a resource pool for cluster deployment comprises:
and recording the IP corresponding to each physical machine and the function type of each physical machine in the resource pool, wherein the IP corresponds to the function type.
5. The method according to claim 4, wherein after the adding the physical machine to the resource pool for cluster deployment if the installation of the at least one type of functional program configured in the physical machine is successful, further comprising:
acquiring a group of physical machines from the resource pool according to deployment requirements, wherein the group of physical machines comprises a plurality of physical machines; and carrying out cluster deployment on the group of physical machines so that the group of physical machines form a cluster structure.
6. The method of claim 5, wherein the set of physical machines includes at least one first physical machine and at least one second physical machine, wherein the function type of the first physical machine is a control function, and wherein the function type of the second physical machine is a computing function.
7. The method of claim 6, wherein the clustered deployment of the set of physical machines comprises:
controlling the physical machines to respectively execute functional programs corresponding to the respective function types of the physical machines;
and when the physical machine finishes executing the functional program, finishing cluster deployment.
8. A physical machine deployment apparatus, the apparatus comprising:
the configuration module is used for configuring at least one type of functional program corresponding to the function type of the physical machine in each of a plurality of physical machines; the types of the functional programs configured by any two physical machines are at least partially different;
the detection module is used for confirming whether at least one type of functional programs configured in each physical machine is successfully installed according to the configuration log of each physical machine; the configuration log comprises installation information of at least one type of functional program configured by the physical machine;
and the deployment module is used for adding the physical machine into a resource pool for cluster deployment if at least one type of functional programs configured in the physical machine are successfully installed, so as to complete the cluster deployment.
9. A readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of any one of claims 1 to 7 when executing the program.
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