CN110765179A - Distributed account checking processing method, device, equipment and storage medium - Google Patents
Distributed account checking processing method, device, equipment and storage medium Download PDFInfo
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- CN110765179A CN110765179A CN201910995687.XA CN201910995687A CN110765179A CN 110765179 A CN110765179 A CN 110765179A CN 201910995687 A CN201910995687 A CN 201910995687A CN 110765179 A CN110765179 A CN 110765179A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2471—Distributed queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
Abstract
The application provides a distributed reconciliation processing method, a device, equipment and a storage medium, wherein the method comprises the following steps: receiving reconciliation scheduling information sent by a master server, wherein the reconciliation scheduling information comprises a target data identifier responsible for the slave server; acquiring target source data corresponding to the target data identification according to the reconciliation scheduling information; and performing reconciliation processing based on the target source data to obtain a reconciliation result. Due to the fact that the source data are sliced and dispatched to the plurality of servers to conduct account checking processing, account checking waiting time cost is effectively reduced, account checking processing efficiency is improved, and user experience is improved.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to a distributed reconciliation processing method, apparatus, device, and storage medium.
Background
With the rapid development of the internet technology, the account checking technology is widely applied in the financial industry, wherein the account checking method based on the micro service becomes one of the important methods. In the prior art, when account checking is performed, files and data are usually extracted from each business system and each account capital system at regular time, a single machine initiates account checking, account checking is completed to obtain account checking differences, and account checking files are generated for a user to download.
However, due to the fact that the types of input files of micro-service account checking are more, for account checking tasks with large data volumes or intensive concentration, control force is not large, and account checking efficiency and result accuracy are difficult to guarantee.
Disclosure of Invention
The application provides a distributed account checking processing method, a distributed account checking processing device, distributed account checking equipment and a storage medium, and aims to overcome the defects of low account checking efficiency and the like in the prior art.
A first aspect of the present application provides a distributed reconciliation processing method, including:
receiving reconciliation scheduling information sent by a master server, wherein the reconciliation scheduling information comprises a target data identifier responsible for a slave server;
acquiring target source data corresponding to the target data identification according to the reconciliation scheduling information;
and performing reconciliation processing based on the target source data to obtain a reconciliation result.
Optionally, the performing reconciliation processing based on the target source data to obtain a reconciliation result includes:
processing the target source data to obtain target data in a preset format;
and performing account checking processing based on the target data to obtain the account checking result.
Optionally, the method further comprises:
and sending the reconciliation result to a storage server cluster for storage.
Optionally, the obtaining, according to the reconciliation scheduling information, target source data corresponding to the target data identifier includes:
and acquiring target source data corresponding to the target data identification from a data buffer according to the reconciliation scheduling information.
Optionally, the performing reconciliation processing based on the target source data to obtain a reconciliation result includes:
and performing account checking processing by adopting multiple threads based on the target source data to obtain an account checking result.
Optionally, the method further comprises:
and sending heartbeat information to the dispatching center server at regular time so that the dispatching center server reselects the main server after the main server fails.
A second aspect of the present application provides a distributed reconciliation processing method, including:
after an account checking task triggering instruction sent by a dispatching center server is received, segmenting source data to obtain a segmentation result;
and sending reconciliation scheduling information to each slave server based on the segmentation result so as to enable each slave server to carry out reconciliation processing, wherein the reconciliation scheduling information comprises target data identification which is responsible for each slave server.
Optionally, the segmenting the source data to obtain a segmentation result includes:
acquiring the total amount of source data and the number of slave servers;
and segmenting the source data according to the total amount of the source data and the number of the slave servers to obtain the segmentation result.
Optionally, the method further comprises:
and sending heartbeat information to the dispatching center server at regular time so that the dispatching center server determines whether the main server fails.
The third aspect of the present application provides a distributed reconciliation processing apparatus, comprising:
the system comprises a receiving module, a sending module and a receiving module, wherein the receiving module is used for receiving reconciliation scheduling information sent by a master server, and the reconciliation scheduling information comprises a target data identifier responsible for a slave server;
the acquisition module is used for acquiring target source data corresponding to the target data identifier according to the reconciliation scheduling information;
and the processing module is used for carrying out account checking processing based on the target source data to obtain an account checking result.
Optionally, the processing module is specifically configured to:
processing the target source data to obtain target data in a preset format; and performing account checking processing based on the target data to obtain the account checking result.
Optionally, the processing module is further configured to send the reconciliation result to a storage server cluster for storage.
Optionally, the obtaining module is specifically configured to:
and acquiring target source data corresponding to the target data identification from a data buffer according to the reconciliation scheduling information.
Optionally, the processing module is specifically configured to:
and performing account checking processing by adopting multiple threads based on the target source data to obtain an account checking result.
Optionally, the processing module is further configured to:
and sending heartbeat information to the dispatching center server at regular time so that the dispatching center server reselects the main server after the main server fails.
A fourth aspect of the present application provides a distributed reconciliation processing apparatus, comprising:
the segmentation module is used for segmenting the source data after receiving an account checking task triggering instruction sent by the dispatching center server to obtain a segmentation result;
and the sending module is used for sending reconciliation scheduling information to each slave server based on the segmentation result so as to enable each slave server to carry out reconciliation processing, and the reconciliation scheduling information comprises target data identification which is responsible for each slave server.
Optionally, the splitting module is specifically configured to:
acquiring the total amount of source data and the number of slave servers; and segmenting the source data according to the total amount of the source data and the number of the slave servers to obtain the segmentation result.
Optionally, the sending module is further configured to:
and sending heartbeat information to the dispatching center server at regular time so that the dispatching center server determines whether the main server fails.
A fifth aspect of the present application provides an electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executes computer-executable instructions stored by the memory to cause the at least one processor to perform the method as set forth in the first aspect above and in various possible designs of the first aspect.
A sixth aspect of the present application provides an electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
execution of the computer-executable instructions stored by the memory by the at least one processor causes the at least one processor to perform the method as set forth in the second aspect and various possible designs of the second aspect
A seventh aspect of the present application provides a computer-readable storage medium having stored thereon computer-executable instructions that, when executed by a processor, implement the method as set forth in the first aspect and various possible designs of the first aspect.
An eighth aspect of the present application provides a computer-readable storage medium having stored thereon computer-executable instructions that, when executed by a processor, perform the method as set forth in the second aspect and various possible designs of the second aspect.
According to the distributed reconciliation processing method, the distributed reconciliation processing device, the distributed reconciliation processing equipment and the storage medium, after a reconciliation task trigger instruction is received by the master server, the source data is segmented to obtain a segmentation result, reconciliation scheduling information is sent to each slave server based on the segmentation result, each slave server obtains the target source data corresponding to the target data identification according to the reconciliation scheduling information, and the reconciliation processing is carried out based on the target source data to obtain a reconciliation result. Due to the fact that the source data are sliced and dispatched to the plurality of servers to conduct account checking processing, account checking waiting time cost is effectively reduced, account checking processing efficiency is improved, and user experience is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1 is a diagram illustrating a prior art reconciliation process flow architecture;
FIG. 2 is a block diagram of a processing system according to an embodiment of the present application;
fig. 3 is a schematic flowchart of a distributed reconciliation processing method according to an embodiment of the present application;
fig. 4 is a schematic flowchart of a distributed reconciliation processing method according to another embodiment of the present application;
fig. 5 is a schematic flowchart of a distributed reconciliation processing method according to an embodiment of the present application;
fig. 6 is a schematic flowchart of a distributed reconciliation processing method according to yet another embodiment of the present application;
fig. 7 is a schematic structural diagram of a distributed reconciliation processing apparatus according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a distributed reconciliation processing apparatus according to another embodiment of the present application;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of an electronic device according to another embodiment of the present application.
With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all 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 application.
The terms referred to in this application are explained first:
heartbeat: the heartbeat mechanism is a mechanism for regularly sending a self-defined structure (heartbeat packet) to let the other side know that the other side still stays alive so as to ensure the validity of connection.
Breakpoint resuming: the breakpoint resuming refers to that when downloading or uploading, the downloading or uploading task is divided into several parts, each part is uploaded or downloaded by using one thread, if the network fails, the uncompleted downloading part can be uploaded and downloaded from the uploaded or downloaded part, and the downloading is not necessarily uploaded from the beginning. The user can save time and improve speed.
Sharding (sharding): is a kind of data slicing that divides a large data file into smaller, faster, and more manageable parts, which are called data shards. Each data fragment is a small portion of the whole.
Fig. 1 is a schematic diagram of a reconciliation processing flow architecture in the prior art. The method specifically comprises the following steps: 1. collecting data; 2. analyzing and converting; 3. and generating a difference entry and a reconciliation result file. Wherein DB represents a database, MQ represents a message queue, and JSF represents Java distributed middleware. In particular, a configuration database, file, MQ or JSF is required to obtain the source of the reconciliation data.
Due to the fact that the types of input files of micro-service account checking are more, for account checking tasks with large data volume or intensive concentration, control force is not large, and account checking efficiency and result accuracy are difficult to guarantee.
The distributed reconciliation processing method provided by the embodiment of the application can be suitable for a reconciliation processing scene based on micro-service so as to effectively solve the problems. Fig. 2 is a schematic diagram of an architecture of a processing system according to an embodiment of the present application. The processing system may include a micro service cluster, a dispatch center server, a storage server cluster, various service systems and accounting systems for generating source data, and a data buffer, such as an R2m data buffer or a Redis (key-value storage system). The method comprises the steps that business system and settlement system generation source data are cached to a data buffer, a dispatching center server monitors data conditions of all the business systems and the settlement systems, when data generation is finished, an account checking task triggering instruction is sent to a micro-service cluster, the micro-service cluster comprises a plurality of servers, the dispatching center server specifically can select one server from the micro-service cluster as a main server, other servers serve as slave servers and send the account checking task triggering instruction to the main server, after the main server receives the account checking task triggering instruction, the source data are segmented to obtain a segmentation result, account checking dispatching information is sent to all the slave servers based on the segmentation result, the account checking dispatching information comprises target data identifications which are responsible for all the slave servers, all the slave servers obtain target source data corresponding to the target data identifications according to the account checking dispatching information and conduct account checking based on the target source data, and obtaining a reconciliation result. Due to the fact that the source data are sliced and dispatched to the plurality of servers to conduct account checking processing, account checking waiting time cost is effectively reduced, account checking processing efficiency is improved, and user experience is improved.
Furthermore, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. In the description of the following examples, "plurality" means two or more unless specifically limited otherwise.
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. Embodiments of the present invention will be described below with reference to the accompanying drawings.
Example one
The embodiment provides a distributed account checking method, which is used for realizing account checking processing based on micro-services. The execution subject of the embodiment is a distributed reconciliation processing device, which can be arranged in a server of a microservice cluster and used as a slave server to execute the method.
As shown in fig. 3, a schematic flow chart of a distributed reconciliation processing method provided in this embodiment is shown, where the method includes:
Specifically, the dispatching center server may monitor data conditions of each service system and the settlement system, and when data is generated, send an account checking task trigger instruction to the micro service cluster, where the micro service cluster includes a plurality of servers, the dispatching center server may specifically select one server from the micro service cluster as a master server, and use other servers as slave servers, send the account checking task trigger instruction to the master server, after receiving the account checking task trigger instruction, the master server performs segmentation on the source data to obtain a segmentation result, and sends account checking dispatching information to each slave server based on the segmentation result, where the account checking dispatching information includes a target data identifier in charge of each slave server, and each slave server may receive the account checking dispatching information sent by the master server.
The target data identifier may be identification information generated by marking data to each piece of data during caching, for example, a number from 1, or other identification information, and may be specifically set according to actual requirements.
Illustratively, the source data includes 1000 pieces of data, numbered from 1 to 1000 ten thousand by the amount of displacement.
The source data may include at least one of business data generated by each business system and posting data generated by each settlement system. The business data may include fields such as a merchant order number, a merchant number, a transaction order number, a payee, an deposit, a transaction amount, a refund amount, a currency type, a conversion rate, a payment bank, a payment mode, a marketing amount, and the like. The posting data may include fields for merchant order number, transaction order number, channel line number, amount, reconciliation date, transaction type (income or expense), etc.
Optionally, the dispatch center server may monitor whether each service system and the settlement system are ready for source data in a polling manner, or the service system and the settlement system may actively report to the dispatch center server after the source data is ready.
And step 102, acquiring target source data corresponding to the target data identification according to the reconciliation scheduling information.
Specifically, taking a slave server as an example, the slave server may obtain target source data corresponding to the target data identifier according to the reconciliation scheduling information.
Alternatively, the master server may split the source data according to the total amount of the source data and the number of the slave servers. In particular, the master server may determine the total amount of source data from the data buffer and may determine the number of available slave servers through a heartbeat mechanism or by other means.
For example, the source data includes 1000 pieces of data, and the slave servers have 4 pieces, and may be divided into 250 pieces of data for each slave server. The reconciliation scheduling information received from each server includes the number of the partial data for which each slave server is responsible, for example, the reconciliation scheduling information received from the first slave server includes 1 to 250 ten thousand pieces of data for which the reconciliation is required.
For example, the slave servers may be further segmented according to the load of each slave server, or may be further segmented according to other segmentation rules, which may be specifically set according to actual requirements, and this embodiment is not limited.
And 103, performing account checking processing based on the target source data to obtain an account checking result.
Specifically, after the target source data is acquired from the server, reconciliation processing may be performed based on the target source data to obtain a reconciliation result.
Optionally, the slave server may perform data processing on the target source data to obtain preset target data in a unified format, and then perform reconciliation processing based on the target data to obtain a reconciliation result.
The data processing may include: core field extraction (for example, extracting required key fields from source data according to preset rules), data supplement (for example, supplementing content to be null by 0), format conversion (for example, converting element-unit, angle-unit, divided-unit, into unified unit format), fine adjustment (for example, converting "chinese bank" into corresponding code), merging, invalid data elimination, and the like.
Due to the fact that the source data are sliced and dispatched to the plurality of servers to conduct account checking processing, account checking waiting time cost is effectively reduced, account checking processing efficiency is improved, and user experience is improved.
In the distributed reconciliation processing method provided by this embodiment, after receiving a reconciliation task trigger instruction, the master server performs splitting on source data to obtain a splitting result, sends reconciliation scheduling information to each slave server based on the splitting result, and each slave server obtains target source data corresponding to a target data identifier according to the reconciliation scheduling information, performs reconciliation processing based on the target source data, and obtains a reconciliation result. Due to the fact that the source data are sliced and dispatched to the plurality of servers to conduct account checking processing, account checking waiting time cost is effectively reduced, account checking processing efficiency is improved, and user experience is improved.
Example two
The present embodiment further supplements and explains the distributed reconciliation processing method provided in the first embodiment.
As shown in fig. 4, a schematic flow chart of the distributed reconciliation processing method provided in this embodiment is shown.
As a practical manner, on the basis of the foregoing embodiment, optionally, step 103 specifically includes:
and step 1031, performing data processing on the target source data to obtain target data in a preset format.
And 1032, performing account checking processing based on the target data to obtain an account checking result.
Specifically, the slave server may perform data processing on the target source data to obtain preset target data in a unified format, and then perform reconciliation processing based on the target data to obtain a reconciliation result.
The data processing may include: core field extraction (for example, extracting required key fields from source data according to preset rules), data supplement (for example, supplementing content to be null by 0), format conversion (for example, converting element-unit, angle-unit, divided-unit, into unified unit format), fine adjustment (for example, converting "chinese bank" into corresponding code), merging, invalid data elimination, and the like.
The reconciliation result can comprise reconciliation difference data and a difference type so as to be stored according to the difference type subsequently. Taking account reconciliation of accounts a and B as an example, the difference types may include: a has B or not, A has B but is different, and the like.
As another practicable manner, on the basis of the foregoing embodiment, optionally, the method further includes:
and 104, sending the reconciliation result to the storage server cluster for storage.
Specifically, the reconciliation results obtained from the servers may be merged for storage, and may be specifically stored according to the difference type. To improve processing efficiency, storage server clusters may be employed for storage.
As another implementable manner, on the basis of the foregoing embodiment, optionally, the step 102 may specifically include:
and step 1021, acquiring target source data corresponding to the target data identifier from the data buffer according to the reconciliation scheduling information.
Specifically, a data buffer may be provided, for example, a R2m data buffer or Redis, etc., where the business system and the settlement system generate source data to be cached in the data buffer, the master server only needs to perform segmentation according to the data identifier of the source data, and the obtained segmentation result includes the target data identifier that each slave server is responsible for, that is, the reconciliation scheduling information sent to each slave server may only include the target data identifier that each server is responsible for, and each slave server may read the target source data corresponding to the target data identifier from the data buffer.
Optionally, the master server may also send target source data corresponding to the target data identifier to each slave server, that is, send the sliced fragments of the source data to each server respectively.
Through the setting of data buffer, all the source data need not all to send each from the server, reduces the storage space of each from the server on the one hand and occupies, and on the other hand improves data transmission efficiency, further improves the processing efficiency of reconciliation.
As another implementable manner, on the basis of the foregoing embodiment, optionally, performing reconciliation processing based on the target source data to obtain a reconciliation result, including:
and 2011, performing reconciliation processing by adopting multiple threads based on the target source data to obtain a reconciliation result.
Specifically, each slave server adopts multiple threads to perform account checking processing, multiple pieces of data can be processed in parallel, namely on the basis of distributed account checking, each slave server also adopts multiple threads to perform account checking, and account checking processing efficiency is further improved.
As another practicable manner, on the basis of the foregoing embodiment, optionally, the method may further include:
step 2021, periodically sending heartbeat information to the dispatch center server, so that the dispatch center server reselects the main server after the main server fails.
Specifically, each server (including the master server and the slave server) in the micro-service cluster regularly sends heartbeat information to the scheduling center server, and the scheduling center server also sends heartbeat information to each server to ensure the validity of the connection.
After monitoring that the preparation of the source data is completed, the scheduling center server selects one server as a main server in the micro-service cluster, other servers serve as slave servers, the scheduling center server sends an account checking task triggering instruction to the main server, the main server receives the account checking task triggering instruction and then segments the source data, and each slave server conducts account checking under the scheduling of the main server.
When the dispatching center server does not receive the heartbeat information of the main server in the preset time, the main server is considered to be in a fault state, and the dispatching center server can reselect one server from other servers as the main server to dispatch the reconciliation task so as to ensure the smooth operation of the reconciliation task.
As an exemplary implementable manner, as shown in fig. 5, a schematic flow architecture diagram of the distributed reconciliation processing method provided in this embodiment is shown. The method specifically comprises the following steps:
1. data acquisition
The data acquisition supports three modes of real-time, offline segmentation and preheating, and the embodiment of the application mainly aims at offline segmentation reconciliation.
1) And triggering account checking by the timing task.
2) User files (i.e., source data) are split to different servers (from the server) or loaded into a redis, a sharding process.
2. Distributed account checking main server master
Starting a plurality of machines (slave servers) by adopting a master-worker mode, wherein the master is a daemon machine thread, and a plurality of workers (slave servers) perform account checking work under master scheduling; if the master fails, a master host is elected randomly.
3. Distributed server (Slave server)
1) A receipt collector: and is responsible for data acquisition and reading.
2) A data processor: and the processing device is responsible for processing the acquired data.
3) The account checking processor: and is responsible for multithread account checking.
4) A result processor: and sorting and outputting the account checking result.
Specifically, each slave server can comprise four modules of a data collector, a data processor, a reconciliation processor and a result processor. Respectively responsible for different processing jobs.
4. Difference processing memory
And merging and storing the reconciliation results obtained from the servers according to the difference types.
According to the distributed account checking processing method provided by the embodiment of the application, when account checking files (source data) are large, the account checking files are sliced to different servers, the servers are processed in parallel, account checking processing is performed rapidly, the cost of account checking waiting time is reduced, timeliness is improved, the instantaneity of settlement is guaranteed, and user experience is improved.
It should be noted that the respective implementable modes in the present embodiment may be implemented individually, or may be implemented in combination in any combination without conflict, and the present application is not limited thereto.
In the distributed reconciliation processing method provided by this embodiment, after receiving a reconciliation task trigger instruction, the master server performs splitting on source data to obtain a splitting result, sends reconciliation scheduling information to each slave server based on the splitting result, and each slave server obtains target source data corresponding to a target data identifier according to the reconciliation scheduling information, performs reconciliation processing based on the target source data, and obtains a reconciliation result. Due to the fact that the source data are sliced and dispatched to the plurality of servers to conduct account checking processing, account checking waiting time cost is effectively reduced, account checking processing efficiency is improved, and user experience is improved. And the reconciliation results of all the slave servers are quickly merged and stored through the storage server cluster, so that the reconciliation processing efficiency is further improved. And each slave server adopts multithreading to carry out account checking processing, so that the account checking processing efficiency is further improved. The data buffer is used for buffering the source data, and each slave server only needs to acquire part of the source data responsible for the slave server from the data buffer without sending all the source data to each slave server, so that the occupation of the storage space of each slave server is reduced, the data transmission efficiency is improved, and the account checking processing efficiency is further improved.
EXAMPLE III
The embodiment provides a distributed reconciliation processing method, which is used for reconciliation processing based on microservice. The execution subject of the embodiment is a distributed reconciliation processing device, which can be arranged in a server of a microservice cluster and execute the method when the microservice cluster is used as a main server.
As shown in fig. 6, a schematic flow chart of a distributed reconciliation processing method provided in this embodiment is shown, where the method includes:
And step 302, sending reconciliation scheduling information to each slave server based on the segmentation result so as to enable each slave server to perform reconciliation processing, wherein the reconciliation scheduling information comprises target data identification which is responsible for each slave server.
It should be noted that the distributed reconciliation processing method provided in this embodiment is a method executed by the master server side, and a specific execution manner of the method is described in detail in the foregoing slave server side embodiment, which specifically refers to the foregoing embodiment, and is not described herein again.
In the distributed reconciliation processing method provided by this embodiment, after receiving a reconciliation task trigger instruction, the master server performs splitting on source data to obtain a splitting result, sends reconciliation scheduling information to each slave server based on the splitting result, and each slave server obtains target source data corresponding to a target data identifier according to the reconciliation scheduling information, performs reconciliation processing based on the target source data, and obtains a reconciliation result. Due to the fact that the source data are sliced and dispatched to the plurality of servers to conduct account checking processing, account checking waiting time cost is effectively reduced, account checking processing efficiency is improved, and user experience is improved.
Example four
The present embodiment further supplements and explains the distributed reconciliation processing method provided in the third embodiment.
As a practical manner, on the basis of the foregoing embodiment, optionally, the segmenting the source data to obtain a segmentation result includes:
step 4011, obtain the total amount of source data and the number of slave servers.
And 4012, segmenting the source data according to the total amount of the source data and the number of the slave servers to obtain a segmentation result.
As another practicable manner, on the basis of the foregoing embodiment, optionally, the method may further include:
step 4021, sending heartbeat information to the dispatching center server at regular time, so that the dispatching center server determines whether the main server fails.
It should be noted that the distributed reconciliation processing method provided in this embodiment is a method executed by the master server side, and a specific execution manner of the method is described in detail in the foregoing slave server side embodiment, which specifically refers to the foregoing embodiment, and is not described herein again.
It should be noted that the respective implementable modes in the embodiment may be implemented individually, or may be implemented in combination in any combination without conflict, and the present application is not limited thereto.
In the distributed reconciliation processing method provided by this embodiment, after receiving a reconciliation task trigger instruction, the master server performs splitting on source data to obtain a splitting result, sends reconciliation scheduling information to each slave server based on the splitting result, and each slave server obtains target source data corresponding to a target data identifier according to the reconciliation scheduling information, performs reconciliation processing based on the target source data, and obtains a reconciliation result. Due to the fact that the source data are sliced and dispatched to the plurality of servers to conduct account checking processing, account checking waiting time cost is effectively reduced, account checking processing efficiency is improved, and user experience is improved. And the reconciliation results of all the slave servers are quickly merged and stored through the storage server cluster, so that the reconciliation processing efficiency is further improved. And each slave server adopts multithreading to carry out account checking processing, so that the account checking processing efficiency is further improved. The data buffer is used for buffering the source data, and each slave server only needs to acquire part of the source data responsible for the slave server from the data buffer without sending all the source data to each slave server, so that the occupation of the storage space of each slave server is reduced, the data transmission efficiency is improved, and the account checking processing efficiency is further improved.
EXAMPLE five
The embodiment provides a distributed reconciliation processing apparatus, which is used for executing the distributed reconciliation processing method of the first embodiment.
As shown in fig. 7, a schematic structural diagram of the distributed reconciliation processing apparatus provided in this embodiment is shown. The distributed reconciliation processing apparatus 50 comprises a receiving module 51, an obtaining module 52 and a processing module 53.
The system comprises a receiving module, a sending module and a receiving module, wherein the receiving module is used for receiving reconciliation scheduling information sent by a master server, and the reconciliation scheduling information comprises a target data identifier responsible for a slave server; the acquisition module is used for acquiring target source data corresponding to the target data identifier according to the reconciliation scheduling information; and the processing module is used for carrying out account checking processing based on the target source data to obtain an account checking result.
The specific manner in which the respective modules perform operations has been described in detail in relation to the apparatus in this embodiment, and will not be elaborated upon here.
According to the distributed reconciliation processing device provided by the embodiment, after the reconciliation task trigger instruction is received by the master server, the source data is segmented to obtain a segmentation result, reconciliation scheduling information is sent to each slave server based on the segmentation result, each slave server obtains the target source data corresponding to the target data identifier according to the reconciliation scheduling information, and reconciliation processing is performed based on the target source data to obtain a reconciliation result. Due to the fact that the source data are sliced and dispatched to the plurality of servers to conduct account checking processing, account checking waiting time cost is effectively reduced, account checking processing efficiency is improved, and user experience is improved.
EXAMPLE six
In this embodiment, a supplementary description is further made on the distributed reconciliation processing apparatus provided in the fifth embodiment, so as to execute the distributed reconciliation processing method provided in the second embodiment.
As a practical manner, on the basis of the foregoing embodiments, optionally, the processing module is specifically configured to:
processing the target source data to obtain target data in a preset format; and carrying out account checking processing based on the target data to obtain an account checking result.
As another implementable manner, on the basis of the foregoing embodiment, optionally, the processing module is further configured to send the reconciliation result to the storage server cluster for storage.
As another implementable manner, on the basis of the foregoing embodiment, optionally, the obtaining module is specifically configured to:
and acquiring target source data corresponding to the target data identification from the data buffer according to the reconciliation scheduling information.
As another implementable manner, on the basis of the foregoing embodiment, optionally, the processing module is specifically configured to:
and performing account checking processing by adopting multiple threads based on the target source data to obtain an account checking result.
As another implementable manner, on the basis of the foregoing embodiment, optionally, the processing module is further configured to:
and sending heartbeat information to the dispatching center server at regular time so that the dispatching center server reselects the main server after the main server fails.
The specific manner in which the respective modules perform operations has been described in detail in relation to the apparatus in this embodiment, and will not be elaborated upon here.
It should be noted that the respective implementable modes in the present embodiment may be implemented individually, or may be implemented in combination in any combination without conflict, and the present application is not limited thereto.
According to the distributed reconciliation processing device of the embodiment, after the reconciliation task trigger instruction is received by the master server, the source data is segmented to obtain a segmentation result, reconciliation scheduling information is sent to each slave server based on the segmentation result, each slave server obtains the target source data corresponding to the target data identification according to the reconciliation scheduling information, and reconciliation processing is carried out based on the target source data to obtain a reconciliation result. Due to the fact that the source data are sliced and dispatched to the plurality of servers to conduct account checking processing, account checking waiting time cost is effectively reduced, account checking processing efficiency is improved, and user experience is improved. And the reconciliation results of all the slave servers are quickly merged and stored through the storage server cluster, so that the reconciliation processing efficiency is further improved. And each slave server adopts multithreading to carry out account checking processing, so that the account checking processing efficiency is further improved. The data buffer is used for buffering the source data, and each slave server only needs to acquire part of the source data responsible for the slave server from the data buffer without sending all the source data to each slave server, so that the occupation of the storage space of each slave server is reduced, the data transmission efficiency is improved, and the account checking processing efficiency is further improved.
EXAMPLE seven
The present embodiment provides a distributed reconciliation processing apparatus, configured to execute the distributed reconciliation processing method according to the third embodiment.
As shown in fig. 8, a schematic structural diagram of the distributed reconciliation processing apparatus provided in this embodiment is shown. The distributed reconciliation processing apparatus 70 comprises a splitting module 71 and a sending module 72.
The system comprises a splitting module, a scheduling center server and a data processing module, wherein the splitting module is used for splitting source data after receiving an account checking task triggering instruction sent by the scheduling center server to obtain a splitting result; and the sending module is used for sending reconciliation scheduling information to each slave server based on the segmentation result so as to enable each slave server to carry out reconciliation processing, and the reconciliation scheduling information comprises target data identification which is responsible for each slave server.
The specific manner in which the respective modules perform operations has been described in detail in relation to the apparatus in this embodiment, and will not be elaborated upon here.
According to the distributed reconciliation processing device provided by the embodiment, after the reconciliation task trigger instruction is received by the master server, the source data is segmented to obtain a segmentation result, reconciliation scheduling information is sent to each slave server based on the segmentation result, each slave server obtains the target source data corresponding to the target data identifier according to the reconciliation scheduling information, and reconciliation processing is performed based on the target source data to obtain a reconciliation result. Due to the fact that the source data are sliced and dispatched to the plurality of servers to conduct account checking processing, account checking waiting time cost is effectively reduced, account checking processing efficiency is improved, and user experience is improved.
Example eight
The present embodiment further supplements the description on the distributed reconciliation processing apparatus provided in the seventh embodiment to execute the distributed reconciliation processing method provided in the fourth embodiment.
As a practical manner, on the basis of the foregoing embodiments, optionally, the splitting module is specifically configured to:
acquiring the total amount of source data and the number of slave servers; and segmenting the source data according to the total amount of the source data and the number of the slave servers to obtain a segmentation result.
As another implementable manner, on the basis of the foregoing embodiment, optionally, the sending module is further configured to:
and sending heartbeat information to the dispatching center server at regular time so that the dispatching center server determines whether the main server fails.
The specific manner in which the respective modules perform operations has been described in detail in relation to the apparatus in this embodiment, and will not be elaborated upon here.
It should be noted that the respective implementable modes in the present embodiment may be implemented individually, or may be implemented in combination in any combination without conflict, and the present application is not limited thereto.
According to the distributed reconciliation processing device of the embodiment, after the reconciliation task trigger instruction is received by the master server, the source data is segmented to obtain a segmentation result, reconciliation scheduling information is sent to each slave server based on the segmentation result, each slave server obtains the target source data corresponding to the target data identification according to the reconciliation scheduling information, and reconciliation processing is carried out based on the target source data to obtain a reconciliation result. Due to the fact that the source data are sliced and dispatched to the plurality of servers to conduct account checking processing, account checking waiting time cost is effectively reduced, account checking processing efficiency is improved, and user experience is improved. And the reconciliation results of all the slave servers are quickly merged and stored through the storage server cluster, so that the reconciliation processing efficiency is further improved. And each slave server adopts multithreading to carry out account checking processing, so that the account checking processing efficiency is further improved. The data buffer is used for buffering the source data, and each slave server only needs to acquire part of the source data responsible for the slave server from the data buffer without sending all the source data to each slave server, so that the occupation of the storage space of each slave server is reduced, the data transmission efficiency is improved, and the account checking processing efficiency is further improved.
Example nine
The embodiment provides an electronic device, which is configured to execute the distributed reconciliation processing method provided in the first embodiment or the second embodiment. The electronic device may be a slave server in a microservice cluster.
As shown in fig. 9, is a schematic structural diagram of the electronic device provided in this embodiment. The electronic device 80 includes: at least one processor 81 and memory 82;
the memory stores computer-executable instructions; the at least one processor executes the computer-executable instructions stored by the memory, so that the at least one processor performs the method provided in the first embodiment or the second embodiment.
According to the electronic device of the embodiment, after the master server receives the reconciliation task triggering instruction, the source data are segmented to obtain a segmentation result, reconciliation scheduling information is sent to each slave server based on the segmentation result, each slave server obtains target source data corresponding to the target data identification according to the reconciliation scheduling information, and reconciliation processing is performed based on the target source data to obtain a reconciliation result. Due to the fact that the source data are sliced and dispatched to the plurality of servers to conduct account checking processing, account checking waiting time cost is effectively reduced, account checking processing efficiency is improved, and user experience is improved. And the reconciliation results of all the slave servers are quickly merged and stored through the storage server cluster, so that the reconciliation processing efficiency is further improved. And each slave server adopts multithreading to carry out account checking processing, so that the account checking processing efficiency is further improved. The data buffer is used for buffering the source data, and each slave server only needs to acquire part of the source data responsible for the slave server from the data buffer without sending all the source data to each slave server, so that the occupation of the storage space of each slave server is reduced, the data transmission efficiency is improved, and the account checking processing efficiency is further improved.
Example ten
The present embodiment provides an electronic device, configured to execute the distributed reconciliation processing method provided in the third embodiment or the fourth embodiment. The electronic device may be a master server in a microservice cluster.
As shown in fig. 10, a schematic structural diagram of the electronic device provided in this embodiment is shown. The 90 includes: a processor 91 and a memory 92.
The memory stores computer-executable instructions; the at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the method provided in the third or fourth embodiment.
According to the electronic device of the embodiment, after the master server receives the reconciliation task triggering instruction, the source data are segmented to obtain a segmentation result, reconciliation scheduling information is sent to each slave server based on the segmentation result, each slave server obtains target source data corresponding to the target data identification according to the reconciliation scheduling information, and reconciliation processing is performed based on the target source data to obtain a reconciliation result. Due to the fact that the source data are sliced and dispatched to the plurality of servers to conduct account checking processing, account checking waiting time cost is effectively reduced, account checking processing efficiency is improved, and user experience is improved. And the reconciliation results of all the slave servers are quickly merged and stored through the storage server cluster, so that the reconciliation processing efficiency is further improved. And each slave server adopts multithreading to carry out account checking processing, so that the account checking processing efficiency is further improved. The data buffer is used for buffering the source data, and each slave server only needs to acquire part of the source data responsible for the slave server from the data buffer without sending all the source data to each slave server, so that the occupation of the storage space of each slave server is reduced, the data transmission efficiency is improved, and the account checking processing efficiency is further improved.
EXAMPLE eleven
The embodiment provides a computer-readable storage medium, in which computer-executable instructions are stored, and when a processor executes the computer-executable instructions, the method provided in the first embodiment or the second embodiment is implemented.
According to the computer-readable storage medium of the embodiment, after the master server receives the reconciliation task triggering instruction, the source data are segmented to obtain a segmentation result, reconciliation scheduling information is sent to each slave server based on the segmentation result, each slave server obtains the target source data corresponding to the target data identifier according to the reconciliation scheduling information, and reconciliation is performed based on the target source data to obtain a reconciliation result. Due to the fact that the source data are sliced and dispatched to the plurality of servers to conduct account checking processing, account checking waiting time cost is effectively reduced, account checking processing efficiency is improved, and user experience is improved. And the reconciliation results of all the slave servers are quickly merged and stored through the storage server cluster, so that the reconciliation processing efficiency is further improved. And each slave server adopts multithreading to carry out account checking processing, so that the account checking processing efficiency is further improved. The data buffer is used for buffering the source data, and each slave server only needs to acquire part of the source data responsible for the slave server from the data buffer without sending all the source data to each slave server, so that the occupation of the storage space of each slave server is reduced, the data transmission efficiency is improved, and the account checking processing efficiency is further improved.
Example twelve
The embodiment provides a computer-readable storage medium, in which computer-executable instructions are stored, and when a processor executes the computer-executable instructions, the method provided in the third embodiment or the fourth embodiment is implemented.
According to the computer-readable storage medium of the embodiment, after the master server receives the reconciliation task triggering instruction, the source data are segmented to obtain a segmentation result, reconciliation scheduling information is sent to each slave server based on the segmentation result, each slave server obtains the target source data corresponding to the target data identifier according to the reconciliation scheduling information, and reconciliation is performed based on the target source data to obtain a reconciliation result. Due to the fact that the source data are sliced and dispatched to the plurality of servers to conduct account checking processing, account checking waiting time cost is effectively reduced, account checking processing efficiency is improved, and user experience is improved. And the reconciliation results of all the slave servers are quickly merged and stored through the storage server cluster, so that the reconciliation processing efficiency is further improved. And each slave server adopts multithreading to carry out account checking processing, so that the account checking processing efficiency is further improved. The data buffer is used for buffering the source data, and each slave server only needs to acquire part of the source data responsible for the slave server from the data buffer without sending all the source data to each slave server, so that the occupation of the storage space of each slave server is reduced, the data transmission efficiency is improved, and the account checking processing efficiency is further improved.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It is obvious to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working process of the device described above, reference may be made to the corresponding process in the foregoing method embodiment, which is not described herein again.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill 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 application.
Claims (15)
1. A distributed account checking method is characterized by comprising the following steps:
receiving reconciliation scheduling information sent by a master server, wherein the reconciliation scheduling information comprises a target data identifier responsible for a slave server;
acquiring target source data corresponding to the target data identification according to the reconciliation scheduling information;
and performing reconciliation processing based on the target source data to obtain a reconciliation result.
2. The method of claim 1, wherein performing reconciliation processing based on the target source data to obtain a reconciliation result comprises:
processing the target source data to obtain target data in a preset format;
and performing account checking processing based on the target data to obtain the account checking result.
3. The method of claim 1, further comprising:
and sending the reconciliation result to a storage server cluster for storage.
4. The method according to claim 1, wherein the obtaining target source data corresponding to the target data identifier according to the reconciliation scheduling information includes:
and acquiring target source data corresponding to the target data identification from a data buffer according to the reconciliation scheduling information.
5. The method of claim 1, wherein performing reconciliation processing based on the target source data to obtain a reconciliation result comprises:
and performing account checking processing by adopting multiple threads based on the target source data to obtain an account checking result.
6. The method according to any one of claims 1-5, further comprising:
and sending heartbeat information to the dispatching center server at regular time so that the dispatching center server reselects the main server after the main server fails.
7. A distributed account checking method is characterized by comprising the following steps:
after an account checking task triggering instruction sent by a dispatching center server is received, segmenting source data to obtain a segmentation result;
and sending reconciliation scheduling information to each slave server based on the segmentation result so as to enable each slave server to carry out reconciliation processing, wherein the reconciliation scheduling information comprises target data identification which is responsible for each slave server.
8. The method of claim 7, wherein the segmenting the source data to obtain the segmentation result comprises:
acquiring the total amount of source data and the number of slave servers;
and segmenting the source data according to the total amount of the source data and the number of the slave servers to obtain the segmentation result.
9. The method according to claim 7 or 8, characterized in that the method further comprises:
and sending heartbeat information to the dispatching center server at regular time so that the dispatching center server determines whether the main server fails.
10. A distributed reconciliation processing apparatus, comprising:
the system comprises a receiving module, a sending module and a receiving module, wherein the receiving module is used for receiving reconciliation scheduling information sent by a master server, and the reconciliation scheduling information comprises a target data identifier responsible for a slave server;
the acquisition module is used for acquiring target source data corresponding to the target data identifier according to the reconciliation scheduling information;
and the processing module is used for carrying out account checking processing based on the target source data to obtain an account checking result.
11. A distributed reconciliation processing apparatus, comprising:
the segmentation module is used for segmenting the source data after receiving an account checking task triggering instruction sent by the dispatching center server to obtain a segmentation result;
and the sending module is used for sending reconciliation scheduling information to each slave server based on the segmentation result so as to enable each slave server to carry out reconciliation processing, and the reconciliation scheduling information comprises target data identification which is responsible for each slave server.
12. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of any one of claims 1-6.
13. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of any one of claims 7-9.
14. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a processor, implement the method of any one of claims 1-6.
15. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a processor, implement the method of any one of claims 7-9.
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| CN112232818A (en) * | 2020-10-15 | 2021-01-15 | 金蝶软件（中国）有限公司 | Data reconciliation method and device, computer equipment and storage medium |
| CN112801792A (en) * | 2021-01-29 | 2021-05-14 | 上海微盟企业发展有限公司 | Information checking method, device, equipment and storage medium based on SaaS platform |
| CN112835945A (en) * | 2021-02-25 | 2021-05-25 | 平安消费金融有限公司 | User data-based label processing method, system, device and storage medium |
| CN113220456A (en) * | 2021-05-21 | 2021-08-06 | 中国农业银行股份有限公司 | Bill data processing method and related device |
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| CN116308850A (en) * | 2023-05-19 | 2023-06-23 | 深圳市四格互联信息技术有限公司 | Account checking method, account checking system, account checking server and storage medium |
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