CN116719639A - Link dynamic adjustment and data processing method, device, computer equipment and medium - Google Patents
Link dynamic adjustment and data processing method, device, computer equipment and medium Download PDFInfo
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Abstract
The invention relates to the technical field of link platforms, and discloses a method, a device, computer equipment and a medium for dynamically adjusting and processing links; judging whether the state of the first standby link corresponding to the first platform in the local database is an open state or not, when the state of the first standby link corresponding to the first platform in the local database is an open state, determining a target service node based on the relation between the resource utilization rate of each service node in the cache database and a preset use threshold value, setting the first standby link corresponding to the first platform in the target service node, automatically monitoring the data quantity of each platform in real time, and when the data quantity of a certain platform is monitored to be increased suddenly, automatically setting the standby link in the target service node by a management node, thereby improving the service and operation efficiency, realizing full automation and reducing the labor cost.
Description
Technical Field
The invention relates to the technical field of link platforms, in particular to a method and a device for dynamically adjusting and processing data of a link, computer equipment and a medium.
Background
With the increase of the conservation amount of new energy automobiles in the market year by year, the safety problem of the new energy automobiles becomes an important point of our country. All new energy automobiles in the current national demand market are accessed to a 'new energy automobile national detection and management platform', 'new energy automobile local detection and management platform' through a monitoring platform of an automobile enterprise according to the national standard requirement, and the vehicle data is reported in real time.
When the number of new energy automobiles at the vehicle enterprise is increased to the number of nodes at a service end, the nodes and the configuration of the links are manually increased by staff, the service availability and the fault recovery time can be influenced, and the operation and maintenance labor cost is high.
Disclosure of Invention
In view of this, the present invention provides a method, apparatus, computer device and medium for dynamically adjusting and processing links, so as to solve the problems that the service availability and the failure recovery time are affected and the operation and maintenance labor cost is high due to the manual addition of nodes and configuration of links.
In a first aspect, the present invention provides a link dynamic adjustment method, which obtains link adjustment data information, where the link adjustment data information includes a first platform corresponding to a data volume increase greater than a preset increase threshold; judging whether the state of a first standby link corresponding to the first platform in a local database is an open state or not, wherein the local database comprises a plurality of platforms, a plurality of links corresponding to the platforms and states corresponding to the links; and when the state of the first standby link corresponding to the first platform in the local database is an open state, determining a target service node based on the relation between the resource utilization rate of each service node in the cache database and a preset use threshold, wherein the cache database comprises a plurality of service nodes and the resource utilization rate corresponding to each service node.
The embodiment of the invention provides a link dynamic adjustment method, which comprises the steps of judging whether a state of a first standby link corresponding to a first platform in a local database is an on state or not by acquiring link adjustment data information, determining a target service node based on the relation between the resource utilization rate of each service node in a cache database and a preset use threshold when the state of the first standby link corresponding to the first platform in the local database is the on state, setting the first standby link corresponding to the first platform in the target service node, automatically monitoring the data volume of each platform in real time, and automatically setting the standby link in the target service node by a management node when the data volume of a certain platform is monitored to be increased suddenly, thereby improving the service and operation efficiency, realizing full automation and reducing the labor cost.
In an alternative embodiment, determining the target service node based on the relationship between the resource usage rate of each service node in the cache database and the preset usage threshold value includes: judging whether a candidate service node with the resource utilization rate smaller than a preset use threshold exists in the cache database; and if the candidate service node with the minimum resource utilization rate is smaller than the preset utilization threshold value in the cache database, determining the candidate service node with the minimum resource utilization rate as the target service node.
By judging the size relation between the resource utilization rate of all the service nodes and the preset use threshold value and selecting the candidate service node with the minimum resource utilization rate as the target service node, the resource utilization rate of the service node exceeds the preset use threshold value when new link data are increased, the transmission fluency of the service node is affected, and the resource waste of the service node can be increased when the service node with the minimum resource utilization rate is placed.
In an alternative embodiment, the link dynamic adjustment method further includes: if no candidate service node with the resource utilization rate smaller than the preset use threshold exists in the cache database, determining the created new service node as a target service node
By taking the pre-created new service node as the target service node under the condition that no candidate service node with the resource utilization rate smaller than the preset use threshold exists, the idle service node can be ensured to be accessed by a new link at any time, and the continuity of link adjustment is improved.
In an alternative embodiment, the new service node is obtained by: judging the relation between the resource utilization rate of each service node in the cache database and a preset capacity expansion threshold value, wherein the preset capacity expansion threshold value is smaller than the preset use threshold value; when the resource utilization rate of any service node is larger than a preset capacity expansion threshold value, a new service node is created.
According to the scheme, the preset capacity expansion threshold is set, so that the capacity expansion threshold is smaller than the preset use threshold, a new service node is prepared in advance to access a link when the resource utilization rate of the instant service node is too high, the new node is created through K8S, and the resource utilization rate is higher, more reasonable and the stability of business service is improved in all aspects.
In an alternative embodiment, the link dynamic adjustment method further includes:
sending heartbeat requests to all service nodes at intervals of a preset time period; receiving heartbeat response information launched by all service nodes, wherein the heartbeat response information comprises the resource utilization rate of the service nodes; and adjusting the links of the service nodes based on the received resource utilization rate of each service node.
By sending the heartbeat request to the service node in real time, the on-line link condition is monitored in real time, the resource utilization rate of the service node is obtained, the rapid increase of the data quantity is avoided, the resource utilization rates of all the service nodes are calculated, the time is wasted, and the business service efficiency is improved.
In an optional embodiment, the adjusting the link state of the service node based on the received resource usage of any service node includes: when the resource utilization rate of the second service node is judged to be smaller than a preset deletion threshold, counting the number of links corresponding to different platforms in the second service node; and deleting any link corresponding to the current platform with the largest number of links in the second service node, and changing the state corresponding to the link with the deleting operation in the local database into a closed state.
By judging the resource utilization rate of each service node in real time, when the resource utilization rate of a certain service node is too low, a certain link of the service node is deleted, so that the resource utilization cost can be reduced.
In an alternative embodiment, the link dynamic adjustment method further includes: receiving second platform access information; judging whether a second standby link corresponding to the second platform in the local database is in an open state or not; if the second standby link corresponding to the second platform in the local database is judged to be in an open state, setting the second standby link in the open state in a current target service node of which the resource utilization rate in the cache database is smaller than a preset use threshold; and creating a consumer corresponding to the second platform at the current target service node, so that the consumer processes the data transmitted by the second platform through a second standby link.
When a new platform is added, the method can fully automatically create consumers and increase corresponding links, avoid the condition that codes are required to be modified for online release to modes due to business increase, and improve the efficiency of business service.
In a second aspect, the present invention provides a data processing method, which receives data information, where the data information includes data and a platform identifier corresponding to the data; classifying the data based on the platform identification corresponding to the data to obtain the data corresponding to each platform; and transmitting the data corresponding to the third platform after the classification processing to a corresponding service node through a link corresponding to the third platform, wherein the link and the service node are obtained by the link dynamic adjustment method according to the first aspect or any one of the corresponding embodiments.
According to the invention, the data is classified based on the platform identification corresponding to the data, so that the data corresponding to each platform is obtained, the data corresponding to the platform after the classification is transmitted to the corresponding service node through the link corresponding to the platform.
In a third aspect, the present invention provides a link dynamic adjustment device, where the data information acquisition module is configured to acquire link adjustment data information, where the link adjustment data information includes a first platform corresponding to a data amount increase greater than a preset increase threshold; the link state judging module is used for judging whether the state of a first standby link corresponding to the first platform in the local database is an open state or not, wherein the local database comprises a plurality of platforms, a plurality of links corresponding to the platforms and states corresponding to the links; the target service node determining module is used for determining a target service node based on the relation between the resource utilization rate of each service node in the cache database and a preset use threshold when the state of a first standby link corresponding to the first platform in the local database is an on state, wherein the cache database comprises a plurality of service nodes and the resource utilization rate corresponding to each service node; and the link placement module is used for setting the first standby link corresponding to the first platform at the target service node.
In a fourth aspect, the present invention provides a data processing apparatus, a data information receiving module, configured to receive data information, where the data information includes data and a platform identifier corresponding to the data; the data processing module is used for classifying the data based on the platform identification corresponding to the data to obtain the data corresponding to each platform; the data transmission module is configured to transmit data corresponding to the classified third platform to a corresponding service node through a link corresponding to the third platform, where the link and the service node are obtained through the link dynamic adjustment method of the first aspect or any one of the corresponding embodiments of the first aspect
In a fifth aspect, the present invention provides a computer device comprising: the memory and the processor are in communication connection with each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the link dynamic adjustment method of the first aspect or any implementation manner corresponding to the first aspect or perform the data processing method of the second aspect.
In a sixth aspect, the present invention provides a computer readable storage medium having stored thereon computer instructions for causing a computer to perform the link dynamic adjustment method of the first aspect or any one of the embodiments corresponding thereto, or the data processing method of the second aspect.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow diagram of a link dynamic adjustment method according to an embodiment of the present invention;
FIG. 2 is a flow chart of another link dynamic adjustment method according to an embodiment of the present invention;
fig. 3 is a flow chart of a further link dynamic adjustment method according to an embodiment of the present invention;
FIG. 4 is a flow chart of a data processing method according to an embodiment of the present invention;
fig. 5 is a block diagram of a link dynamic adjustment device according to an embodiment of the present invention;
FIG. 6 is a block diagram of a data processing apparatus according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a hardware structure of a computer device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
With the increase of the conservation amount of new energy automobiles in the market year by year, the safety problem of the new energy automobiles becomes an important point of our country. All new energy automobiles in the current national demand market are accessed to a 'new energy automobile national detection and management platform', 'new energy automobile local detection and management platform' through a monitoring platform of an automobile enterprise according to the national standard requirement, and the vehicle data is reported in real time.
When the number of new energy automobiles at the vehicle enterprise is increased to the number of nodes at a service end, the nodes and the configuration of the links are manually increased by staff, the service availability and the fault recovery time can be influenced, and the operation and maintenance labor cost is high.
The embodiment of the invention provides a link dynamic adjustment method, which comprises the steps of judging whether a state of a first standby link corresponding to a first platform in a local database is an on state or not by acquiring link adjustment data information, determining a target service node based on the relation between the resource utilization rate of each service node in a cache database and a preset use threshold when the state of the first standby link corresponding to the first platform in the local database is the on state, setting the first standby link corresponding to the first platform in the target service node, automatically monitoring the data volume of each platform in real time, and automatically setting the standby link in the target service node by a management node when the data volume of a certain platform is monitored to be increased suddenly, thereby improving the service and operation efficiency, realizing full automation and reducing the labor cost.
In accordance with an embodiment of the present application, a link dynamic adjustment method embodiment is provided, it being noted that the steps shown in the flowchart of the figures may be performed in a computer system, such as a set of computer executable instructions, and, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in an order other than that shown or described herein.
In this embodiment, a link dynamic adjustment method is provided, which may be used in the above-mentioned computer device, and fig. 1 is a flowchart of the link dynamic adjustment method according to an embodiment of the present application, as shown in fig. 1, where the flowchart includes the following steps:
step S101, obtaining link adjustment data information.
The link adjustment data information comprises a first platform corresponding to the data quantity increment larger than a preset increment threshold.
In the embodiment of the application, the data information uploaded by the data source can be pre-stored in a data link pool, for example, the data information can be pre-stored in the Mysql data link pool, the Mysql data link pool can be used for identifying the data information in advance, judging which platform the data information belongs to, when judging that the data volume increment of a certain platform is larger than a preset increment threshold, the preset increment threshold can be determined by self according to actual conditions, the Mysql data link pool can generate link adjustment data information, wherein the link adjustment data information comprises a platform identifier corresponding to the data volume increment larger than the preset increment threshold, and the link adjustment data information is acquired for subsequent operation, wherein the platform can be a national platform and a local platform, for example, the platform can be a Beijing platform and a Shanghai platform, for example, the national platform is required to carry out link adjustment, and the link adjustment of the corresponding Beijing platform is required to be adjusted, and the link adjustment data information generated at the moment comprises the link adjustment data information of the national platform and the Beijing platform.
Step S102, judging whether the state of the first standby link corresponding to the first platform in the local database is an open state.
The local database comprises a plurality of platforms, a plurality of links corresponding to the platforms and states corresponding to the links.
In this embodiment of the present application, the local database may be a Mysql database, where the Mysql database includes multiple platforms, multiple links corresponding to the platforms, and states corresponding to the links, and when the Mysql data link pool determines that the data amount increase amount of a certain platform is greater than a preset increase threshold, the Mysql data link pool may change the standby links corresponding to the platform into an open state in advance, so that subsequent use is convenient, where the standby links may be links and account numbers corresponding to government platforms in advance, so that each platform redundancy one standby link, so that when the on-line service burst flow, that is, the data amount increases suddenly, may be used to expand capacity, and after the management node obtains the link adjustment data information, it determines whether the standby links corresponding to the platform in the Mysql database are open states, for example, if the generated link adjustment data information includes a country platform and a beijing platform, it determines whether the standby links of the country platform and the beijing platform are open states, which is merely used as an example.
Step S103, when the state of the first standby link corresponding to the first platform in the local database is an on state, determining a target service node based on the relation between the resource utilization rate of each service node in the cache database and a preset use threshold.
The cache database comprises a plurality of service nodes and resource utilization rates corresponding to each service node.
The cache database in the embodiment of the application may be a Redis database, the Redis database may include a plurality of service nodes and resource utilization rates corresponding to each service node, after judging that the state of a standby link corresponding to a platform with a data volume increased in the Mysql database is an on state based on the steps, for example, judging that the standby links of two platforms, namely a national platform and a beijing platform, are on state, the two standby links need to be placed in any service node, and the resource utilization rate of each service node in the Redis database may be judged, for example, by a resource utilization rate CPU or a percentage expression of a used memory, the size relationship between the resource utilization rate and a preset use threshold is compared, a target service node is determined, and the method for determining the target service node is not limited, for example, the resource utilization rate of a certain random service node is judged to be smaller than the preset use threshold, and the service node can be selected as the target service node, wherein the preset use threshold is preset based on actual conditions to prevent the surplus resources of the certain service node from influencing the flow of the service node.
Step S104, a first standby link corresponding to the first platform is set at the target service node.
In the embodiment of the application, after the target service node is determined, the standby links of the national platform and the platform with the rapid increase of the data volume can be arranged on the target service node. The Redis database can also comprise a platform and links corresponding to the platform in the actual use process of each service node, wherein the link data in the real-time distribution condition of the links in the Redis database is the links actually used by the service node, the standby links of the two platforms are arranged on the target service node, the platform and the link condition in the Redis database are updated in real time, and the resource use condition of each service node is updated in real time.
According to the link dynamic adjustment method provided by the embodiment, by acquiring the link adjustment data information, whether the state of the first standby link corresponding to the first platform in the local database is the on state is judged, when the state of the first standby link corresponding to the first platform in the local database is the on state, the target service node is determined based on the relation between the resource utilization rate of each service node in the cache database and the preset use threshold value, the first standby link corresponding to the first platform is set at the target service node, the data volume of each platform is automatically monitored in real time, and when the data volume of a certain platform is monitored to be increased suddenly, the management node automatically sets the standby link in the target service node, so that the service and operation efficiency is improved, and the full automation is realized, and the labor cost is reduced.
In this embodiment, a link dynamic adjustment method is provided, which may be used in the above mobile terminal, such as the above computing device, and fig. 2 is a flowchart of the link dynamic adjustment method according to an embodiment of the present invention, and as shown in fig. 2, the flowchart includes the following steps:
step S201, acquiring link adjustment data information. The link adjustment data information comprises a first platform corresponding to the data quantity increment larger than a preset increment threshold. Please refer to step S101 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S202, judging whether the state of a first standby link corresponding to a first platform in a local database is an open state. The local database comprises a plurality of platforms, a plurality of links corresponding to the platforms and states corresponding to the links. Please refer to step S102 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S203, when the state of the first standby link corresponding to the first platform in the local database is an on state, determining the target service node based on the relation between the resource utilization rate of each service node in the cache database and the preset use threshold. The cache database comprises a plurality of service nodes and resource utilization rates corresponding to each service node.
Specifically, the step S203 includes:
step S2031, determining whether there is a candidate service node whose resource usage rate is less than a preset usage threshold in the cache database.
In an exemplary embodiment of the present application, it is determined whether the resource usage of each service node in the Redis database is less than a preset usage threshold, and if there is one or more service nodes whose resource usage is less than the preset usage threshold, all the service nodes less than the preset usage threshold are determined as candidate service nodes.
Step S2032, if there is a candidate service node with the resource usage rate smaller than the preset usage threshold in the cache database, determining the candidate service node with the smallest resource usage rate as the target service node.
After obtaining the candidate service nodes, the embodiment of the application counts the resource use condition of each candidate service node, can determine the candidate service node with the minimum resource use rate as the target service node, can select the proper candidate service node to determine the candidate service node as the target service node according to the actual condition, for example, if a platform and a link corresponding to the data quantity surge are not arranged in a certain service node, the service node can be selected as the target service node, and the method is only used as an example.
By judging the size relation between the resource utilization rate of all the service nodes and the preset use threshold value and selecting the candidate service node with the minimum resource utilization rate as the target service node, the resource utilization rate of the service node exceeds the preset use threshold value when new link data are increased, the transmission fluency of the service node is affected, and the resource waste of the service node can be increased when the service node with the minimum resource utilization rate is placed.
In step 204, the first backup link corresponding to the first platform is set at the target service node, please refer to step S104 in the embodiment shown in fig. 1 in detail, which is not described herein again.
And step 205, if no candidate service node with the resource utilization rate smaller than the preset utilization threshold exists in the cache database, determining the created new service node as the target service node.
In an exemplary embodiment of the present application, if it is determined that the resource usage of all the service nodes in the Redis database is greater than the preset usage threshold, a new service node created in advance may be determined as a target service node, and the creation manner of the new service node is not limited, for example, after the management node obtains the link adjustment data information, the new service node may be created in advance, where the method for creating the new service node is not limited, for example, the new service node may be created by using a K8S capacity expansion manner, which is merely used as an example.
By taking the pre-created new service node as the target service node under the condition that no candidate service node with the resource utilization rate smaller than the preset use threshold exists, the idle service node can be ensured to be accessed by a new link at any time, and the continuity of link adjustment is improved.
Step 206, sending heartbeat requests to all service nodes at intervals of a preset time period; and receiving heartbeat response information sent by all the service nodes, and adjusting links of the service nodes based on the received resource utilization rate of each service node.
The heartbeat response information comprises resource utilization rate of the service node;
the Redis database in the embodiment of the present application may further include an IP address corresponding to each service node and an IP address corresponding to each link, by using the configured IP address, the management node may send heartbeat requests to all service nodes at intervals of a certain period of time, where the interval of time may be determined by itself, for example, a heartbeat request may be sent once in 5 minutes, if the heartbeat request sent to each service node is successful, heartbeat response information corresponding to each service node may be received, where the heartbeat response information may include a resource utilization rate of each service node, or may include a status of a link, etc., the received resource utilization rate of each service node may be updated in real time to the Redis database, the status of the link may be updated in real time to the Mysql database, and the links of the service nodes may be adjusted by the steps described above, for example, if the resource utilization rate of a service node is too high, the link or a new service node may be increased, the resource utilization rate of the service node may be reduced, and if the heartbeat request is sent to only a new service node as an example, and the service node may fail, and the service node may be sent only as an alarm node.
The service node sends the registration information to the management node through the configured IP address, and if the registration is successful, the management node adds the registration information into the registration list after receiving the registration request, so as to perform the method of the above embodiment. If registration fails, an alarm message is sent indicating that the service node is abnormal, by way of example only.
By sending the heartbeat request to the service node in real time, the on-line link condition is monitored in real time, the resource utilization rate of the service node is obtained, the rapid increase of the data quantity is avoided, the resource utilization rates of all the service nodes are calculated, the time is wasted, and the business service efficiency is improved.
Step 207, receiving second platform access information; judging whether a second standby link corresponding to a second platform in the local database is in an open state or not; if the second standby link corresponding to the second platform in the local database is judged to be in an open state, setting the second standby link in the open state in a current target service node of which the resource utilization rate in the cache database is smaller than a preset use threshold; and creating a consumer corresponding to the second platform at the current target service node, so that the consumer processes the data transmitted by the second platform through the second standby link.
In the embodiment of the present application, if a new platform needs to be accessed to the whole transmission process of the present application, the method of creating a link and placing the link on a certain service node refers to the above embodiment, which is not described herein, after creating a link for a new platform and placing the link on a suitable service node, creating a consumer group corresponding to the new platform at the service node, where the consumer can logically process the data of the platform that is read later, etc., where the links of the national monitoring platform and the monitoring platforms in various places can share the background micro-service at will, and isolation distinction is not performed for the platforms any more, and consistency of the number of links of each platform in the consumer group is not considered.
If the management node receives deletion information of a certain platform, the link of the platform on the service node is destroyed, meanwhile, the link state corresponding to the platform is changed into a closed state in the Mysql database, the Redis database is updated in real time, and meanwhile, the consumer corresponding to the platform on the service node is deleted, by way of example only.
When a new platform is added, the method can fully automatically create consumers and increase corresponding links, avoid the condition that codes are required to be modified for online release to modes due to business increase, and improve the efficiency of business service.
In this embodiment, a link dynamic adjustment method is provided, which may be used in the above mobile terminal, such as a mobile phone, a tablet computer, etc., fig. 3 is a flowchart of the link dynamic adjustment method according to an embodiment of the present invention, and as shown in fig. 3, the flowchart includes the following steps:
step S301, acquiring link adjustment data information. The link adjustment data information comprises a first platform corresponding to the data quantity increment larger than a preset increment threshold. Please refer to step S101 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S302, judging whether the state of a first standby link corresponding to the first platform in the local database is an open state. The local database comprises a plurality of platforms, a plurality of links corresponding to the platforms and states corresponding to the links. Please refer to step S102 in the embodiment shown in fig. 1, which is not described here again
Step S303, when the state of the first standby link corresponding to the first platform in the local database is an on state, determining the target service node based on the relation between the resource utilization rate of each service node in the cache database and the preset use threshold. The cache database includes a plurality of service nodes and resource utilization rates corresponding to each service node, please refer to step S103 in the embodiment shown in fig. 1 in detail, which is not described herein again.
In step S304, the first standby link corresponding to the first platform is set at the target service node, please refer to step S104 in the embodiment shown in fig. 1 in detail, which is not described herein again.
In step S305, if there is no candidate service node whose resource usage rate is less than the preset usage threshold in the cache database, the created new service node is determined as the target service node.
Specifically, in the step S305, the new service node is obtained by:
in step S3051, a relationship between the resource usage rate of each service node in the cache database and a preset capacity expansion threshold is determined, where the preset capacity expansion threshold is smaller than the preset usage threshold.
The preset capacity expansion threshold is determined by itself based on actual situations, the preset capacity expansion threshold is required to be smaller than the preset use threshold, the resource utilization rate of each service node is obtained in real time, and the relation between the resource utilization rate of each service node and the preset capacity expansion threshold is compared.
In step S3052, when the resource utilization of any service node is greater than the preset capacity expansion threshold, a new service node is created.
After comparing the size relation between the resource utilization rate of each service node and the preset capacity expansion threshold, the embodiment of the application indicates that a new service node needs to be created after comparing the resource utilization rate of any service node to be larger than the preset capacity expansion threshold, so that the resource utilization rate of the subsequent service node is excessive, and links can be distributed to the new service node.
According to the scheme, the preset capacity expansion threshold is set, so that the capacity expansion threshold is smaller than the preset use threshold, a new service node is prepared in advance to access a link when the resource utilization rate of the instant service node is too high, the new node is created through K8S, and the resource utilization rate is higher, more reasonable and the stability of business service is improved in all aspects.
Step S306, sending heartbeat requests to all service nodes at intervals of a preset time period; and receiving heartbeat response information sent by all the service nodes, and adjusting links of the service nodes based on the received resource utilization rate of each service node.
Specifically, the step 306 includes:
step 3061, counting the number of links corresponding to different platforms in the second service node when it is determined that the resource usage rate of the second service node is smaller than the preset pruning threshold.
The embodiment of the application acquires the resource utilization rate of each service node in real time, and compares the size relation between the resource utilization rate of each service node and the preset pruning threshold, wherein the preset pruning threshold is the minimum threshold determined based on actual conditions and is smaller than the preset utilization threshold, and if the resource utilization rate of a certain service node is judged to be smaller than the preset pruning threshold, the resource utilization rate of the service node is too little, the cost of links and the like is wasted, so that the number of links corresponding to each platform on the service node can be counted.
Step S3062, performing a pruning operation on any link corresponding to the current platform with the largest number of links in the second service node, and changing the state corresponding to the link performing the pruning operation in the local database to the closed state.
In the embodiment of the application, the number of links corresponding to each platform on the service node is counted, for example, the number of links corresponding to the national platform is 3, the number of links corresponding to the Beijing platform is 1, any one of the 3 links corresponding to the national platform can be deleted, and meanwhile, the link state of the link in the Mysql database is changed into a closed state, and the link condition in Redis can be updated in real time, which is only taken as an example.
By judging the resource utilization rate of each service node in real time, when the resource utilization rate of a certain service node is too low, a certain link of the service node is deleted, so that the resource utilization cost can be reduced.
Step S307, receiving second platform access information; judging whether a second standby link corresponding to a second platform in the local database is in an open state or not; if the second standby link corresponding to the second platform in the local database is judged to be in an open state, setting the second standby link in the open state in a current target service node of which the resource utilization rate in the cache database is smaller than a preset use threshold; and creating a consumer corresponding to the second platform at the current target service node, so that the consumer processes the data transmitted by the second platform through the second standby link. Please refer to step S207 in the embodiment shown in fig. 2 in detail, which is not described herein.
According to an embodiment of the present invention, there is provided a data processing method embodiment, it being noted that the steps shown in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that herein.
The embodiment of the invention also provides a data processing method which is applied to the data processing platform and is used for classifying and filtering the data when all the data are accessed, wherein the data processing platform can be kafka, and the data processing platform is only used as an example. As shown in fig. 4, the data processing method includes:
step S401, data information is received, wherein the data information comprises data and a platform identifier corresponding to the data.
Step S402, classifying the data based on the platform identification corresponding to the data to obtain the data corresponding to each platform.
Step S403, transmitting the data corresponding to the third platform after the classification processing to the corresponding service node through the link corresponding to the third platform, where the link and the service node are the link dynamic adjustment methods according to the foregoing embodiments.
Before all data information is transmitted from a data source to the whole system, the data can be classified and filtered by kafka, wherein the data information comprises platform identifiers corresponding to the data, all the data are classified according to the platform identifiers, topics (data access ports of each platform) of each platform are created according to the number of the platforms in advance, after all the data are classified, part of the data needed by each platform are rewritten into new topics of the corresponding platform, and then the data are transmitted to corresponding service nodes through links corresponding to the platforms, for example, 1 national platform and 10 local platforms exist at present, and 1 ten thousand vehicles are used. The national platform needs the data of 1 ten thousand vehicles in the whole quantity, and each local platform respectively corresponds to 1000 vehicles belonging to the areas of the national platform, so that after pretreatment, the data flow is 1 ten thousand vehicle data of the country + the data of 1 ten thousand vehicles in the sum of 10 local platforms = 2 ten thousand vehicle data, if the pretreatment is not carried out, the total 10 local platforms consume the data of 1 ten thousand vehicles together, then whether the vehicle belongs to the local area is judged after the data is received, and if the vehicle is not selected to be discarded, the actual flow is the data of 1 ten thousand vehicles in the country + the data of 10 ten thousand vehicles in the sum of 10 local platforms = 11 ten thousand vehicle data, which is only taken as an example.
According to the invention, the data is classified based on the platform identification corresponding to the data, so that the data corresponding to each platform is obtained, the data corresponding to the platform after the classification is transmitted to the corresponding service node through the link corresponding to the platform.
The present embodiment also provides a link dynamic adjustment device, which is used to implement the foregoing embodiments and preferred embodiments, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The present embodiment provides a link dynamic adjustment device, as shown in fig. 5, including:
the data information obtaining module 501 is configured to obtain link adjustment data information, where the link adjustment data information includes a first platform corresponding to an increase in data amount greater than a preset increase threshold.
The link state judging module 502 is configured to judge whether a state of a first standby link corresponding to a first platform in a local database is an on state, where the local database includes a plurality of platforms, a plurality of links corresponding to the platforms, and a state corresponding to the links.
The target service node determining module 503 is configured to determine, when the state of the first standby link corresponding to the first platform in the local database is an on state, a target service node based on a relationship between a resource usage rate of each service node in the cache database and a preset usage threshold, where the cache database includes a plurality of service nodes and resource usage rates corresponding to each service node.
The link placement module 504 is configured to set a first standby link corresponding to the first platform at the target service node.
The embodiment of the invention provides a link dynamic adjustment device, which is used for judging whether the state of a first standby link corresponding to a first platform in a local database is an on state or not by acquiring link adjustment data information, determining a target service node based on the relation between the resource utilization rate of each service node in a cache database and a preset use threshold value when the state of the first standby link corresponding to the first platform in the local database is the on state, setting the first standby link corresponding to the first platform in the target service node, automatically monitoring the data volume of each platform in real time, and automatically setting the standby link in the target service node by a management node when the data volume of a certain platform is monitored to be increased suddenly, thereby improving the service and operation efficiency, realizing full automation and reducing the labor cost.
In some alternative embodiments, the target serving node determination module 502 includes:
and the resource utilization rate comparison unit is used for judging whether a candidate service node with the resource utilization rate smaller than a preset utilization threshold exists in the cache database.
And the target service node determining unit is used for determining the candidate service node with the minimum resource utilization rate as the target service node if the candidate service node with the resource utilization rate smaller than the preset utilization threshold exists in the cache database.
In some alternative embodiments, the apparatus further comprises:
and the new service node determining module is used for determining the created new service node as a target service node if no candidate service node with the resource utilization rate smaller than the preset use threshold exists in the cache database.
In some alternative embodiments, the new service node determination module includes:
and the resource utilization rate comparison unit is used for judging the relation between the resource utilization rate of each service node in the cache database and a preset capacity expansion threshold value, wherein the preset capacity expansion threshold value is smaller than the preset use threshold value.
And the new service node creation unit is used for creating the new service node when the resource utilization rate of any service node is larger than a preset capacity expansion threshold value.
In some alternative embodiments, the apparatus further comprises:
and the heartbeat request sending module is used for sending heartbeat requests to all the service nodes at intervals of a preset time period.
And the heartbeat response information receiving module is used for receiving the heartbeat response information launched by all the service nodes, wherein the heartbeat response information comprises the resource utilization rate of the service nodes.
And the link adjustment module is used for adjusting the links of the service nodes based on the received resource utilization rate of each service node.
In some alternative embodiments, the link adjustment module includes:
and the link number counting unit is used for counting the link numbers corresponding to different platforms in the second service node when the resource utilization rate of the second service node is judged to be smaller than the preset deletion threshold value.
And the state changing unit is used for deleting any link corresponding to the current platform with the largest number of links in the second service node and changing the state corresponding to the link which is subjected to the deleting operation in the local database into a closed state.
In some alternative embodiments, the apparatus further comprises:
and the platform information receiving module is used for receiving the second platform access information.
And the state judging module is used for judging whether the second standby link corresponding to the second platform in the local database is in an open state or not.
And the target service node determining module is used for setting the second standby link in the starting state in the current target service node of which the resource utilization rate is smaller than a preset use threshold in the cache database if the second standby link corresponding to the second platform in the local database is judged to be in the starting state.
And the consumer creation module is used for creating a consumer corresponding to the second platform at the current target service node, so that the consumer processes the data transmitted by the second platform through the second standby link.
Further functional descriptions of the above respective modules and units are the same as those of the above corresponding embodiments, and are not repeated here.
In this embodiment, a data processing device is further provided, and the device is used to implement the foregoing embodiments and preferred embodiments, and will not be described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The present embodiment provides a data processing apparatus, as shown in fig. 6, including:
The data information receiving module 601 is configured to receive data information, where the data information includes data and a platform identifier corresponding to the data;
the data processing module 602 is configured to perform classification processing on data based on a platform identifier corresponding to the data, so as to obtain data corresponding to each platform;
the data transmission module 603 is configured to transmit the data corresponding to the classified third platform to the corresponding service node through the link corresponding to the third platform, where the link and the service node are obtained through the link dynamic adjustment method in the foregoing embodiments.
Further functional descriptions of the above respective modules are the same as those of the above corresponding embodiments, and are not repeated here.
According to the invention, the data is classified based on the platform identification corresponding to the data, so that the data corresponding to each platform is obtained, the data corresponding to the platform after the classification is transmitted to the corresponding service node through the link corresponding to the platform.
The link dynamic adjustment means in this embodiment are presented in the form of functional units, here referred to as ASIC (Application Specific Integrated Circuit ) circuits, processors and memories executing one or more software or fixed programs, and/or other devices that can provide the above described functionality.
The embodiment of the invention also provides computer equipment which is provided with the dynamic link adjusting device shown in the figure 5 and the data processing device shown in the figure 6.
Referring to fig. 7, fig. 7 is a schematic structural diagram of a computer device according to an alternative embodiment of the present invention, as shown in fig. 7, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are communicatively coupled to each other using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the computer device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In some alternative embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple computer devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). One processor 10 is illustrated in fig. 7.
The processor 10 may be a central processor, a network processor, or a combination thereof. The processor 10 may further include a hardware chip, among others. The hardware chip may be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general-purpose array logic, or any combination thereof.
Wherein the memory 20 stores instructions executable by the at least one processor 10 to cause the at least one processor 10 to perform a method for implementing the embodiments described above.
The memory 20 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, memory 20 may optionally include memory located remotely from processor 10, which may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk, or solid state disk; the memory 20 may also comprise a combination of the above types of memories.
The computer device also includes a communication interface 30 for the computer device to communicate with other devices or communication networks.
The embodiments of the present invention also provide a computer readable storage medium, and the method according to the embodiments of the present invention described above may be implemented in hardware, firmware, or as a computer code which may be recorded on a storage medium, or as original stored in a remote storage medium or a non-transitory machine readable storage medium downloaded through a network and to be stored in a local storage medium, so that the method described herein may be stored on such software process on a storage medium using a general purpose computer, a special purpose processor, or programmable or special purpose hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, a solid state disk or the like; further, the storage medium may also comprise a combination of memories of the kind described above. It will be appreciated that a computer, processor, microprocessor controller or programmable hardware includes a storage element that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the methods illustrated by the above embodiments.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (12)
1. A method for dynamically adjusting a link, the method comprising:
acquiring link adjustment data information, wherein the link adjustment data information comprises a first platform corresponding to a data volume increment larger than a preset increment threshold;
judging whether the state of a first standby link corresponding to the first platform in a local database is an open state or not, wherein the local database comprises a plurality of platforms, a plurality of links corresponding to the platforms and states corresponding to the links;
when the state of a first standby link corresponding to the first platform in a local database is an open state, determining a target service node based on the relation between the resource utilization rate of each service node in a cache database and a preset use threshold, wherein the cache database comprises a plurality of service nodes and the resource utilization rate corresponding to each service node;
and setting a first standby link corresponding to the first platform at the target service node.
2. The link dynamic adjustment method according to claim 1, wherein determining the target service node based on a relation between a resource usage rate of each service node in the cache database and a preset usage threshold value, comprises:
judging whether a candidate service node with the resource utilization rate smaller than a preset use threshold exists in the cache database;
and if the candidate service node with the minimum resource utilization rate is smaller than the preset utilization threshold value in the cache database, determining the candidate service node with the minimum resource utilization rate as the target service node.
3. The link dynamic adjustment method according to claim 1, characterized in that the method further comprises:
and if no candidate service node with the resource utilization rate smaller than the preset use threshold exists in the cache database, determining the created new service node as a target service node.
4. A method of dynamic link adjustment according to claim 3, characterized in that the new service node is obtained by:
judging the relation between the resource utilization rate of each service node in the cache database and a preset capacity expansion threshold value, wherein the preset capacity expansion threshold value is smaller than the preset utilization threshold value;
when the resource utilization rate of any service node is larger than a preset capacity expansion threshold value, a new service node is created.
5. The link dynamic adjustment method according to claim 1, characterized in that the method further comprises:
sending heartbeat requests to all service nodes at intervals of a preset time period;
receiving heartbeat response information sent by all service nodes, wherein the heartbeat response information comprises the resource utilization rate of the service nodes;
and adjusting the links of the service nodes based on the received resource utilization rate of each service node.
6. The method for dynamically adjusting a link according to claim 5, wherein adjusting the link state of the serving node based on the received resource usage of any serving node comprises:
when the resource utilization rate of the second service node is judged to be smaller than a preset deletion threshold, counting the number of links corresponding to different platforms in the second service node;
and deleting any link corresponding to the current platform with the largest number of links in the second service node, and changing the state corresponding to the link with the deleting operation in the local database into a closed state.
7. The link dynamic adjustment method according to claim 1, characterized in that the method further comprises:
receiving second platform access information;
Judging whether a second standby link corresponding to the second platform in the local database is in an open state or not;
if the second standby link corresponding to the second platform in the local database is judged to be in an open state, setting the second standby link in the open state in a current target service node of which the resource utilization rate in the cache database is smaller than a preset use threshold;
and creating a consumer corresponding to the second platform at the current target service node, so that the consumer processes the data transmitted by the second platform through a second standby link.
8. A method of data processing, the method comprising:
receiving data information, wherein the data information comprises data and a platform identifier corresponding to the data;
classifying the data based on the platform identification corresponding to the data to obtain the data corresponding to each platform;
and transmitting the data corresponding to the third platform after the classification processing to a corresponding service node through a link corresponding to the third platform, wherein the link and the service node are obtained through the link dynamic adjustment method according to any one of claims 1-7.
9. A link dynamic adjustment device, the device comprising:
The data information acquisition module is used for acquiring link adjustment data information, wherein the link adjustment data information comprises a first platform corresponding to a data volume increment larger than a preset increment threshold;
the link state judging module is used for judging whether the state of a first standby link corresponding to the first platform in the local database is an open state or not, wherein the local database comprises a plurality of platforms, a plurality of links corresponding to the platforms and states corresponding to the links;
the target service node determining module is used for determining a target service node based on the relation between the resource utilization rate of each service node in the cache database and a preset use threshold when the state of a first standby link corresponding to the first platform in the local database is an on state, wherein the cache database comprises a plurality of service nodes and the resource utilization rate corresponding to each service node;
and the link placement module is used for setting the first standby link corresponding to the first platform at the target service node.
10. A data processing apparatus, the apparatus comprising:
the data information receiving module is used for receiving data information, wherein the data information comprises data and a platform identifier corresponding to the data;
The data processing module is used for classifying the data based on the platform identification corresponding to the data to obtain the data corresponding to each platform;
the data transmission module is configured to transmit data corresponding to the third platform after the classification processing to a corresponding service node through a link corresponding to the third platform, where the link and the service node are obtained by a link dynamic adjustment method according to any one of claims 1-7.
11. A computer device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the link dynamic adjustment method of any one of claims 1 to 7 or the data processing method of claim 8.
12. A computer-readable storage medium, having stored thereon computer instructions for causing a computer to perform the link dynamic adjustment method according to any one of claims 1 to 7 or the data processing method according to claim 8.
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