CN114201293A - Kafka middleware cluster parameter modification method and device and storage medium - Google Patents
Kafka middleware cluster parameter modification method and device and storage medium Download PDFInfo
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/54—Interprogram communication
- G06F9/546—Message passing systems or structures, e.g. queues
Abstract
The invention provides a method, a device and a storage medium for modifying Kafka middleware cluster parameters, wherein the method comprises the steps of starting a prejudgment parameter execution function, wherein the prejudgment parameter is used for participating in judging whether a node is normal or not, and if the node is normal, the modification of a parameter to be modified is checked through the prejudgment parameter; and executing the pre-judging parameters in the cluster to be processed, and if the pre-judging parameters exist in the cluster to be processed, circularly modifying the parameters to be modified by the nodes in the normal state corresponding to the cluster to be processed. The invention ensures that the nodes modify the parameters to be modified under the normal state through the prejudgment parameters, thereby realizing accurate and timely cluster parameter modification under the condition that the cluster state is abnormal, and determining whether to modify the cluster parameters according to the actual condition of the users, thereby meeting the requirements of the users. And the Kafka middleware cluster performance is improved.
Description
Technical Field
The invention relates to a computer resource management technology, in particular to a Kafka middleware cluster parameter modification method, a Kafka middleware cluster parameter modification device and a storage medium.
Background
The Elasticsearch is used as a current mainstream full-text retrieval engine, has strong data source compatibility, and realizes the input and output of various data sources mainly through the Logstash of one of the core components of the Elasticsearch in a plug-in mode. Kafka is a high-throughput distributed publish-subscribe messaging system, is a common data source, and is one of many input and output sources supported by logstack.
However, if the cloud platform provides modified parameters on the selling Elasticsearch, one or more machines in the cluster are in a fault state, if only the state of a normal machine is modified, and the machine in an abnormal state is ignored, the requirement of a user for modifying the parameters cannot be met, and if only the parameter of the machine in the normal state is modified, the problem that the machine which has failed once is repaired and the parameters of a part of machines in the corresponding cluster are not synchronous occurs. Or the parameters can be modified only when the cluster state is normal, and the problem that the user requirements cannot be met still exists.
Disclosure of Invention
The embodiment of the invention provides a method and a device for modifying Kafka middleware cluster parameters and a storage medium, wherein the parameters to be modified are ensured to be modified by nodes in a normal state through prejudging parameters, so that the cluster parameters are accurately and timely modified under the condition that the cluster state is abnormal, and a user can determine whether to modify the cluster parameters according to the actual condition of the user, so that the user requirements are met. And the performance of the Kafka middleware is improved.
In a first aspect of the embodiments of the present invention, a method for modifying Kafka middleware cluster parameters is provided, where the method includes:
starting a prejudgment parameter execution function, wherein the prejudgment parameter is used for participating in judging whether the node is normal or not, and if the node is normal, the modification of the parameter to be modified is checked through the prejudgment parameter;
and executing the pre-judging parameters in the cluster to be processed, and if the pre-judging parameters exist in the cluster to be processed, circularly modifying the parameters to be modified by the nodes in the normal state corresponding to the cluster to be processed.
Optionally, the prejudgment parameter is connected to a node corresponding to the cluster.
Optionally, the method further comprises: if at least one node in the cluster to be processed does not have the prejudgment parameter, circularly judging whether all the nodes are in normal state.
Optionally, the method further comprises:
and if all the node states are judged to be abnormal, the parameters to be modified cannot be modified.
Optionally, the method further comprises:
and if the node state is judged to be normal, modifying the parameter to be modified.
Optionally, the method further comprises: and starting the prejudgment parameter execution function through the operation of the user on the UI interface.
Optionally, the method further comprises: and if the parameter to be modified cannot be modified, displaying a prompt message which cannot be modified on a user UI interface.
In a second aspect of the embodiments of the present invention, an apparatus for modifying Kafka middleware cluster parameters is provided, where the apparatus includes:
the starting module is used for starting a prejudgment parameter execution function, wherein the prejudgment parameter is used for participating in judging whether the node is normal, and if the node is normal, the modification of the parameter to be modified is checked through the prejudgment parameter;
and the processing module is used for executing the pre-judging parameters in the cluster to be processed, and if the pre-judging parameters exist in the cluster to be processed, modifying the parameters to be modified by circulating the nodes in the normal state corresponding to the cluster to be processed.
In a third aspect of the embodiments of the present invention, a system for modifying Kafka middleware cluster parameters is provided, including: memory, a processor and a computer program, the computer program being stored in the memory, the processor running the computer program to perform the method of the first aspect of the invention as well as various possible aspects of the first aspect.
A fourth aspect of the embodiments of the present invention provides a readable storage medium, in which a computer program is stored, the computer program being, when executed by a processor, configured to implement the method according to the first aspect of the present invention and various possible aspects of the first aspect.
The invention provides a method, a device and a storage medium for modifying Kafka middleware cluster parameters, wherein the method comprises the steps of starting a prejudgment parameter execution function, wherein the prejudgment parameter is used for participating in judging whether a node is normal or not, and if the node is normal, the modification of the parameter to be modified is checked through the prejudgment parameter; and executing the pre-judging parameters in the cluster to be processed, and if the pre-judging parameters exist in the cluster to be processed, circularly modifying the parameters to be modified by the nodes in the normal state corresponding to the cluster to be processed. The invention ensures that the nodes modify the parameters to be modified under the normal state through the prejudgment parameters, thereby realizing accurate and timely cluster parameter modification under the condition that the cluster state is abnormal, and determining whether to modify the cluster parameters according to the actual condition of the users, thereby meeting the requirements of the users. And the performance of the Kafka middleware is improved.
Drawings
Fig. 1 is a first flowchart of a method for modifying Kafka middleware cluster parameters according to an embodiment of the present invention;
fig. 2 is a second flowchart of a method for modifying Kafka middleware cluster parameters according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a device for modifying Kafka middleware cluster parameters according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a device for modifying Kafka middleware cluster parameters according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that, in the present invention, "a plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, for example, and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprises A, B and C" and "comprises A, B, C" means that all three of A, B, C comprise, "comprises A, B or C" means that one of A, B, C comprises, "comprises A, B and/or C" means that any 1 or any 2 or 3 of A, B, C comprises.
It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.
As used herein, "if" may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
The elastic search as the current mainstream full-text search engine has the compatibility of various data sources besides strong full-text search capability and high expansibility. The strong data source compatibility capability of the system is mainly derived from the Logstash of one of the core components, and the Logstash realizes the input and output of various data sources in a plug-in mode. Kafka is a high-throughput distributed publish-subscribe messaging system, is a common data source, and is one of a plurality of input and output sources supported by logstack. It can handle all action flow data in a consumer-sized web site. This action (web browsing, searching and other user actions) corresponds to data that is typically addressed by handling logs and log aggregations due to throughput requirements. For example, Kafka's application addresses the problem of bulk log transmission, namely log processing refers to using message queues in log processing, specifically log collection clients, responsible for log data collection, timed writes to Kafka message queues, responsible for log data reception, store and forward log processing applications: and subscribing and consuming the log data in the kafka queue. In some embodiments, the system is divided into a Zookeeper registry, a log collection client, a Kafka cluster, and a Storm cluster (other app). The Zookeeper registration center provides load balancing and address searching services; the log collection client is used for collecting logs of the application system and pushing data to the kafka queue; kafka cluster: message processing such as receiving, routing, storing, forwarding and the like; storm cluster: at the same level as the other app, the data in the queue is consumed in a pull manner.
However, if parameters are modified on an Elasticsearch sold by a cloud platform, one or more machines in the cluster are in a fault state, if the state of a normal machine is only modified and the machine in an abnormal state is ignored, the requirement of a user for modifying the parameters cannot be met, and if the parameters of the machine in the normal state are only modified, the problem that the machine which has failed once is repaired and a part of parameters of the machine in the corresponding cluster are not synchronous occurs. Or the parameters can be modified only when the cluster state is normal, and the problem that the user requirements cannot be met still exists.
Fig. 1 is a first flowchart of a method for modifying Kafka middleware cluster parameters according to an embodiment of the present invention, and as shown in fig. 1, the method for modifying Kafka middleware cluster parameters according to this embodiment may include step S101 and step S102.
Specifically, step S101 starts a prejudgment parameter execution function, where the prejudgment parameter is used to participate in judging whether a node is normal, and if the node is normal, the modification of the parameter to be modified is checked through the prejudgment parameter.
The invention determines whether the parameter to be modified needs to be modified by setting a prejudgment interface for modifying the parameter, adding a prejudgment parameter such as 'forced modification' in the interface and detecting whether the 'forced modification' exists in the cluster. Specifically, if the prejudgment parameter of 'forced modification' is not transmitted, the state of each node needs to be judged, if one node is not in a normal state, the program is ended, and the state of the returned node is abnormal; if the prejudgment parameter of 'forced modification' is transmitted, the parameters of all normal nodes are modified, and the nodes with abnormal states are ignored.
Step S102, executing the pre-judging parameters in the cluster to be processed, and if the pre-judging parameters exist in the cluster to be processed, circularly modifying the parameters to be modified by the nodes in the normal state corresponding to the cluster to be processed.
The method comprises the steps of executing the prejudgment parameter in a cluster to be processed, detecting whether the prejudgment parameter exists in the cluster to be processed, judging the state of each node if the prejudgment parameter of 'forced modification' does not exist, ending a program if one node is not in a normal state, and returning to the abnormal state of the node; if the prejudgment parameter of 'forced modification' is transmitted, the parameters of all normal nodes are modified, and the nodes with abnormal states are ignored. In the embodiment, a user clicks a parameter modification interface on a UI interface, and the UI calls an interface for pre-judging parameters.
The invention ensures that the nodes modify the parameters to be modified under the normal state through the prejudgment parameters, thereby realizing accurate and timely cluster parameter modification under the condition that the cluster state is abnormal, and determining whether to modify the cluster parameters according to the actual condition of the users, thereby meeting the requirements of the users. And the Kafka middleware cluster performance is improved.
In some embodiments, the prejudgment parameter connects nodes corresponding to the cluster. Specifically, the prejudgment parameter may be connected with a node corresponding to the cluster through the feature identifier, where the prejudgment parameter in the present embodiment is designed in a manner that the feature identifier is adopted to connect the node in the prior art, for example, a data identification identifier having a special feature is set at a head of the node.
In some embodiments, the method further comprises: if at least one node in the cluster to be processed does not have the prejudgment parameter, circularly judging whether all the nodes are in normal state.
Referring to fig. 2 in particular, fig. 2 is a second flowchart of a modification method for Kafka middleware cluster parameters according to an embodiment of the present invention, and as shown in fig. 2, the modification method of this embodiment may include step S101 and step S103.
Specifically, step S101 starts a prejudgment parameter execution function, where the prejudgment parameter is used to participate in judging whether a node is normal, and if the node is normal, the modification of the parameter to be modified is checked through the prejudgment parameter.
The invention determines whether the parameter to be modified needs to be modified by setting a prejudgment interface for modifying the parameter, adding a prejudgment parameter such as 'forced modification' in the interface and detecting whether the 'forced modification' exists in the cluster. Specifically, if the prejudgment parameter of 'forced modification' is not transmitted, the state of each node needs to be judged, if one node is not in a normal state, the program is ended, and the state of the returned node is abnormal; if the prejudgment parameter of 'forced modification' is transmitted, the parameters of all normal nodes are modified, and the nodes with abnormal states are ignored.
Step S103, if at least one node in the cluster to be processed does not have the prejudgment parameter, circularly judging whether all the nodes are normal.
In this embodiment, the pre-judging parameter is executed in the cluster to be processed, the state of each node needs to be judged if the pre-judging parameter does not exist in the cluster and the corresponding node detected in the cluster to be processed, and if one node does not exist in a normal state, the state of all the nodes needs to be circularly judged if the state of all the nodes is normal. And if only one node in the corresponding nodes does not have the prejudgment parameter, circularly judging whether all the nodes are in normal states. In the embodiment, a user clicks a parameter modification interface on a UI interface, and the UI calls an interface for pre-judging parameters.
The invention ensures that the nodes modify the parameters to be modified under the normal state through the prejudgment parameters, thereby realizing accurate and timely cluster parameter modification under the condition that the cluster state is abnormal, and determining whether to modify the cluster parameters according to the actual condition of the users, thereby meeting the requirements of the users. And the Kafka middleware cluster performance is improved.
In some embodiments, the method further comprises: and if all the node states are judged to be abnormal, the parameters to be modified cannot be modified.
With reference to the foregoing example, in this embodiment, the pre-judging parameter is executed in the cluster to be processed, and if the cluster is detected in the cluster to be processed and the pre-judging parameter does not exist in the corresponding node, the state of each node needs to be judged, and if one node does not exist, whether the states of all the nodes are normal is judged in a loop. If all the node states are abnormal, the program is ended, the returned node states are abnormal, and the parameters to be modified cannot be modified.
In some embodiments, the method further comprises: and if the node state is judged to be normal, modifying the parameter to be modified.
With reference to the foregoing example, in this embodiment, the pre-judging parameter is executed in the cluster to be processed, whether the pre-judging parameter exists in the cluster and the corresponding node is detected in the cluster to be processed, and if the pre-judging parameter exists in the cluster or the corresponding node, the parameter to be modified does not need to be modified. And if no prejudgment parameter exists in the cluster or the corresponding node, modifying the parameter to be modified for the node with the normal state. One mode is to modify the parameters to be modified for the nodes partially in the normal state, and specifically, the parameters to be modified can be set specifically according to user requirements, and the other mode is to modify the parameters to be modified for all the nodes in the normal state.
In some embodiments, the method further comprises: and starting the prejudgment parameter execution function through the operation of the user on the UI interface.
In some embodiments, the method further comprises: and if the parameter to be modified cannot be modified, displaying a prompt message which cannot be modified on a user UI interface.
In the embodiment, a user clicks a parameter modification interface on a UI interface, the UI calls an interface for pre-judging parameters, and the parameter of 'forced modification' is not transmitted in the interface. After the interface receives the request, if the machine in abnormal state does not exist, the interface directly modifies the parameter to be modified, and returns the prompt message of successful modification, and the operation is finished, and if the machine in abnormal state exists, returns the prompt message of failed modification, and prompts that the state is abnormal.
When the UI receives the prompt message of 'modification success', the operation is ended. And when the UI receives a message of ' modification failure and abnormal prompting state ', popping up a prompt to a user to indicate whether the current cluster has abnormal node state and only modifies the parameters of normal nodes '. After the user obtains the prompt of whether the current cluster has abnormal node state and only modifies the parameters of normal nodes, the user can select to continue modifying or cancel according to the condition of the user. If the user selects "cancel". And finishing the interactive operation. If the user selects "continue modification". The UI proceeds to call the interface that modifies the parameters and adds the "force modify" parameters in the interface. And finally, after receiving the request of forced modification, the background service interface modifies the parameters to be modified of all the nodes in the normal state for the user.
Fig. 3 is a schematic diagram of an apparatus for modifying Kafka middleware cluster parameters according to an embodiment of the present invention, where the apparatus 10 includes:
the starting module 11 is configured to start a prejudgment parameter execution function, where the prejudgment parameter is used to participate in judging whether a node is normal, and if the node is normal, the modification of a parameter to be modified is checked through the prejudgment parameter;
and the processing module 12 is configured to execute the pre-determined parameter in the cluster to be processed, and if the pre-determined parameter exists in all the clusters to be processed, cyclically modify the parameter to be modified by the node in the normal state corresponding to the cluster to be processed.
The apparatus in the embodiment shown in fig. 3 can be correspondingly used to perform the steps in the method embodiment shown in fig. 1, and the implementation principle and technical effect are similar, which are not described herein again.
Fig. 4 is a schematic structural diagram of a device for modifying Kafka middleware cluster parameters, where the device 20 includes: a processor 21, a memory 22 and a computer program; wherein
A memory 22 for storing the computer program, which may also be a flash memory (flash). The computer program is, for example, an application program, a functional module, or the like that implements the above method.
A processor 21 for executing the computer program stored in the memory to implement the steps performed by the apparatus in the above method. Reference may be made in particular to the description relating to the preceding method embodiment.
Alternatively, the memory 22 may be separate or integrated with the processor 21.
When the memory 22 is a device independent of the processor 21, the apparatus may further include:
a bus 23 for connecting the memory 22 and the processor 21.
The present invention also provides a readable storage medium, in which a computer program is stored, which, when being executed by a processor, is adapted to implement the methods provided by the various embodiments described above.
The readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the readable storage medium may also reside as discrete components in a communication device. The readable storage medium may be a read-only memory (ROM), a random-access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The present invention also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the device may read the execution instructions from the readable storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.
In the above embodiments of the apparatus, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for modifying Kafka middleware cluster parameters, the method comprising:
starting a prejudgment parameter execution function, wherein the prejudgment parameter is used for participating in judging whether the node is normal or not, and if the node is normal, the modification of the parameter to be modified is checked through the prejudgment parameter;
and executing the pre-judging parameters in the cluster to be processed, and if the pre-judging parameters exist in the cluster to be processed, circularly modifying the parameters to be modified by the nodes in the normal state corresponding to the cluster to be processed.
2. The method of claim 1, wherein the look-ahead parameter connects nodes corresponding to a cluster.
3. The method of claim 2, further comprising: if at least one node in the cluster to be processed does not have the prejudgment parameter, circularly judging whether all the nodes are in normal state.
4. The method of claim 3, further comprising:
and if all the node states are judged to be abnormal, the parameters to be modified cannot be modified.
5. The method of claim 4, further comprising:
and if the node state is judged to be normal, modifying the parameter to be modified.
6. The method according to any one of claims 1-5, further comprising: and starting the prejudgment parameter execution function through the operation of the user on the UI interface.
7. The method of claim 6, further comprising: and if the parameter to be modified cannot be modified, displaying a prompt message which cannot be modified on a user UI interface.
8. An apparatus for modifying Kafka middleware cluster parameters, the apparatus comprising:
the starting module is used for starting a prejudgment parameter execution function, wherein the prejudgment parameter is used for participating in judging whether the node is normal, and if the node is normal, the modification of the parameter to be modified is checked through the prejudgment parameter;
and the processing module is used for executing the pre-judging parameters in the cluster to be processed, and if the pre-judging parameters exist in the cluster to be processed, modifying the parameters to be modified by circulating the nodes in the normal state corresponding to the cluster to be processed.
9. A system for modifying Kafka middleware cluster parameters, comprising: a memory, a processor and a computer program, the computer program being stored in the memory, the processor running the computer program to perform the method of modifying Kafka middleware cluster parameters recited in any one of claims 1 to 7.
10. A readable storage medium, in which a computer program is stored, which computer program, when being executed by a processor, is adapted to carry out the method for modifying Kafka middleware cluster parameters according to any one of claims 1 to 7.
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| CN115344327A (en) * | 2022-08-19 | 2022-11-15 | 中电金信软件有限公司 | Application module switching method and device, electronic equipment and readable storage medium |
| CN115344327B (en) * | 2022-08-19 | 2023-07-28 | 中电金信软件有限公司 | Application module switching method and device, electronic equipment and readable storage medium |
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