CN113409015A - ERP system and use method of ERP system in double-activity deployment of double data centers - Google Patents

ERP system and use method of ERP system in double-activity deployment of double data centers Download PDF

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CN113409015A
CN113409015A CN202110683648.3A CN202110683648A CN113409015A CN 113409015 A CN113409015 A CN 113409015A CN 202110683648 A CN202110683648 A CN 202110683648A CN 113409015 A CN113409015 A CN 113409015A
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孟强
郑剑
许建峰
魏炜
周昱
许俊渊
赵丹
熊靖
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Zhejiang Energy Group Co ltd
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Abstract

The invention discloses an ERP system and a using method thereof in double-activity deployment of double data centers, wherein the ERP system at least comprises a login system, a functional system and a data center system, wherein the login system is used for recording and pre-storing an account number given to a user of the ERP system and transmitting the account number information of the user to the data center system; meanwhile, the system is connected with the functional system, accesses and receives a demand request sent by the functional system, and receives a feedback result obtained by the demand request; the functional system is used for realizing the tight integration of people, production, supply and sale, corresponding logistics, information flow and management flow of users of the ERP system and storing the integrated information in the data center system; the data center system is used for data migration and deployment of the ERP system to the X86 server. The system of the invention can monitor, repair and correct in real time in the migration process, ensures the accuracy of the data source to the destination database, and has simple use method.

Description

ERP system and use method of ERP system in double-activity deployment of double data centers
Technical Field
The invention relates to the technical field of data processing, in particular to an ERP system and a use method of the ERP system in double-activity deployment of double data centers.
Background
With the continuous improvement of the X86 server in the aspects of architecture, manufacturing process, core quantity and the like, the performance of the X86 server is directly tracked by a small machine, the universality and standardization are well-established, the X86 server is more suitable for long-term application and requirement expansion of enterprises, the maintenance and the updating are easier, the high-load requirement can be met as required, and the use of the X86 server becomes the future development trend. Also from a market perspective, Oracle corporation has terminated the product line of the Oracle Solaris operating system, and small form factor X86 has been imperative. With the same configuration of servers, the purchase and maintenance prices of the X86 server are much lower than those of the small computer, and the X86 server is a better choice from the economic viewpoint.
However, most of the enterprise practical ERP systems have been developed for a long time, but with the continuous improvement of the small-scale computer X86 and the continuous highlighting of the advantages of data processing, etc., in order to better maintain and operate the ERP systems in the future, it is necessary to research the technology of migrating the ERP systems from the small-scale computer servers to the X86 servers, develop the corresponding migration systems, and deploy the usage methods in the double data centers.
Disclosure of Invention
The invention aims to provide an ERP system and a use method of the ERP system in double-live deployment of double data centers, so as to solve the problems in the prior art.
In order to achieve the purpose, the invention adopts the technical scheme that: an ERP system is provided, which comprises a login system, a functional system and a data center system, wherein,
the login system is used for recording and pre-storing an account given to the ERP system user and transmitting the account information of the user to the data center system; meanwhile, the system is connected with the functional system, accesses and receives a demand request sent by the functional system, and receives a feedback result obtained by the demand request;
the functional system is used for realizing the tight integration of people, property, production, supply and sale, and corresponding logistics, information flow and management flow of users of the ERP system, storing the integrated information in the data center system and realizing the optimization and sharing of resources;
the data center system is used for data migration and deployment of the ERP system to the X86 server.
Preferably, in the technical scheme, the functional system at least comprises a cost accounting subsystem, a purchasing management subsystem, a sales management subsystem, a production management subsystem and a logistics management subsystem;
the cost accounting subsystem, the purchasing management subsystem, the selling management subsystem, the production management subsystem and the logistics management subsystem are respectively and independently used for completing data information transmission with the login system and the data center system.
Preferably, in the technical solution, the data center system at least includes a source database module, a source data model, a dual data deployment system, and a destination database module;
the source data module is used for storing and processing supplier lists, customer information, inventory data, sales orders, purchase orders, financial accounts receivable and financial accounts payable data information of the ERP system;
the source data model is used for carrying out model definition on the data source so as to facilitate the inspection and correction of the attribute of the data source when the data source is exported from the ERP system, and ensure that the exported data source is correct;
the double-data deployment system is used for realizing data migration between the ERP system and the X86 server.
Preferably, in the technical solution, the source data model is implemented by an Oracle model.
Preferably, in the technical solution, the dual data deployment system includes a data migration module, a dynamic migration module, a data management module, and an auxiliary function module, and all the modules are connected by using a parallel information transmission manner.
Preferably, in the technical solution, the data migration module is configured to convert and migrate the relational database data in the ERP system to the data management module and the X86 server for user management.
Preferably, in the technical solution, the dynamic migration module is configured to monitor, in real time, that when the data migration module performs data export and import, a change of data in the relational database includes addition and modification of the data, and dynamically migrate, in real time, an update of the data in the relational database to the X86 server.
Preferably, in the technical solution, the data management module implements data copy between the source database module and the destination database module, data switching between the ERP system and the X86 server, and management of various files and logs based on a heterogeneous system.
Preferably, in the technical solution, when the data management module performs system and data switching, the data deployment scheme and the user access behavior are matched in a distributed deployment manner based on the R3LOAD tool.
Another object of the present invention is to provide a method for using an ERP system in dual live deployment in dual data centers, which includes the following steps:
s100, in a secure network environment, starting an ERP system and an X86PC server and completing registration;
s200, the X86 server sends a task acquisition request to the ERP system every preset time, a data center system of the ERP system performs database full backup, a export directory and an import directory are created, enough space is reserved according to data quantity, and task configuration information is reasonably selected and generated;
s300, based on the configuration information of the tasks, the source data model converts the number of the tasks and the data information which are being executed according to the performance index of the X86 server and sends the tasks and the data information to a double-data deployment system;
s400, the double-data deployment system processes the migrated data based on the acquired task information and imports the processed data into a destination database module;
s500, checking the processed and imported data;
s510, if the verification is successful, switching the data source to the database or the memory of the X86 server to complete the data migration
S520, recording failure information if the verification fails, wherein the failure information comprises failure times and abnormal data; and (4) performing repair processing and verification on the abnormal data until the verification is successful, and enabling the data source to a database or a memory of the X86 server to complete data migration.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, the data center system is arranged in the ERP system, a double-data deployment mode is adopted, and the data can be migrated from the ERP system to the X86 server based on data isomerism. Such data migration only needs the office staff to handle, need not professional and intervene, and the automatic data processing efficiency of procedure is the geometric times increase along with the data bulk is promoted, can save a large amount of human costs for the company. In addition, the method is not only suitable for ERP data migration, but also can be used for similarly processing all similar data migration tasks, the use method is simple and quick, and the accuracy from the data source to the destination database is ensured by monitoring, repairing and correcting in real time in the migration process.
Drawings
FIG. 1 is a block diagram of an ERP system of the present invention;
FIG. 2 is a block diagram of a data center system of the present invention;
FIG. 3 is a first frame diagram of the dual data deployment system of the present invention;
FIG. 4 is a block diagram of a second embodiment of the dual data deployment system of the present invention;
fig. 5 is a flowchart of a method for using the ERP system in dual live deployment in dual data centers according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments; details of the same or similar concepts or processes may not be repeated in some embodiments.
Referring to fig. 1, an ERP system of the present invention at least includes a login system 100, a function system 200 and a data center system 300, wherein,
the login system 100 is used for recording and pre-storing an account given to the ERP system user and transmitting the account information of the user to the data center system 300; meanwhile, the system is connected with the functional system 200, accesses and receives a demand request sent by the functional system 200, and receives a feedback result obtained by the demand request.
The functional system 200 is used for realizing that people, property, material, production, supply and sale, and corresponding logistics, information flow, management flow and the like of a user (such as an enterprise) of the ERP system are tightly integrated and stored in a data center system to realize resource optimization and sharing. In the present invention, the functional system 200 includes at least a cost accounting subsystem 310, a procurement management subsystem 320, a sales management subsystem 330, a production management subsystem 340, and a logistics management subsystem 350. Each subsystem in the functional system 200 performs data information transmission with the login system 100 and the data center system 300 independently. The cost accounting subsystem 310 is configured to compare the production cost accounting of the company with the actual cost, aggregate the cost according to the number of completed orders and the on-time delivery number, reflect the actual production cost of each product in different orders, generate a cost accounting log or report, and transmit the cost accounting log or report to the data center system 300 for storage. The purchase management subsystem 320 is configured to implement management of bid and offer management, purchase application, warehousing of purchased raw materials, invoice registration, return of unqualified materials, and the like for the raw materials of the company, and generate a purchase record log or report, and transmit the log or report to the data center system 300 for storage. The sales management subsystem 330 is configured to complete the transactions of sales order entry, sales order execution, sales price management, discount management, return management, sales settlement management, and the like in the ERP system, generate sales transaction data information, and store the sales transaction data information in the data center system 300. The production management subsystem 340 is used for determining the main production practice of the company production department according to the specific sales product quantity of each sales order, the production department determines and issues the production orders and the production practices of each car attack and staff according to the production capacity of each car attack and the delivery date of the sales orders, the production and other affairs are organized, and the production affair data information is generated and stored in the data center system 300.
And the data center system 300 is used for data migration and deployment of the ERP system to the X86 server. In the present invention, as shown in fig. 2, the data center system 300 at least includes a source database module 210, a source data model 220, a dual data deployment system 230, and a destination database module 240. The source data module 210 is configured to store and process data information such as a supplier list, customer information, inventory data, sales order, purchase order, financial accounts receivable, and financial accounts payable of the ERP system. The source data model 220 is used for performing model definition on a data source so as to facilitate the inspection and correction of the attribute of the data source when the data source is exported from the ERP system, so as to ensure that the exported data source is correct; in this embodiment, the source data model 220 may be implemented by an Oracle model or the like. And the double-data deployment system 230 is used for realizing data migration between the ERP system and the X86 server.
Further, in this embodiment, as shown in fig. 3 and fig. 4, the dual data deployment system 230 at least includes a data migration module 231, a dynamic migration module 232, a data management module 233, and an auxiliary function module 234, and all the modules are connected in a parallel information transfer manner.
Further, in this embodiment, the data migration module 231 is configured to convert and migrate the relational database data in the ERP system to the data management module 233 and a server (e.g., an X86 server) for user management. More specifically, the management platform sends a data export request to the ERP system, the source database module 210 stops all services of the system and backs up the exported data source, the data migration module 231 creates an export and import directory, reserves an adequate data volume space according to the data type, selects a reasonable parallel processing number and a splitting table number, establishes an import policy according to a data migration protocol between the SQLSERVER database and the WSACF framework, performs data import, and correctly configures related parameters of the database in the destination database module 240. When determining the import strategy, in order to improve the migration efficiency, it is preferable to select the import strategy based on the data security strategy and the migration protocol adaptation, and perform data import on the target system while selecting the export data from the source system, and perform bidirectional parallel import strategy. When relevant parameters in the destination database module are configured, adaptation setting can be performed based on an optional tool for data parallel import, for example, when an SWPM tool is selected to concurrently migrate data, correct parameters including a JAVA operating environment are configured.
Further, in this embodiment, the dynamic migration module 232 is configured to monitor, in real time, that when the data migration module 231 performs data export and import, changes of data in the relational database include addition and modification of data, and may dynamically migrate, in real time, data updates in the relational database to the X86 server.
Further, in this embodiment, the data management module 233 implements data copying between the source database module 210 and the destination database module 240, data switching between the ERP system and the X86 server, and management of various files and logs based on a heterogeneous system. Preferably, when the system and the data are switched, the data management module 233 matches the deployment scheme of the data with the user access behavior in a distributed deployment manner based on the R3LOAD tool, so as to improve the operation performance of the data system. The method specifically comprises the following steps:
in accordance with LcolField length, dividing the database into N data sets. The file size of each data set store is defined as F, assuming the export rate of the data files is μ, the dwell time T of the exported files in the systemsSubject to a random exponential distribution, the time interval between import and export is Δ t, eμΔtFor the correct derivation rate (effective rate) within the non-interval time Δ t, the data file within t time is derived as a size function
Figure BDA0003124018110000071
As shown in equation (1).
Figure BDA0003124018110000072
Probability function P for data set not leaving ERP system in t timetDefined as shown in formula (2):
Pt=Fe-μΔt (2)
in order to further optimize the number of processes and shorten the data export and import time, a data set sum algorithm is selected for judgment when monitoring and judging data migration, specifically T0-TkThe data set number file size function transferred (k ═ 0,1,2, N) is formula (3):
Figure BDA0003124018110000073
the corrected data file is monitored and judged by the size of the sum, and whether the data migration is complete is judged by comparing the size with the size of F mu (T-delta T). Specifically, compared with formula (3), when the file sizes are the same, the data migration is complete, otherwise, the data migration is incomplete.
Further, in the present embodiment, the auxiliary function module 234 is configured to provide extended function services for system upgrade. For example, the SUM tool is selected from the auxiliary function module 234, and may include functions such as issuance upgrade of important issuance change, system update including EHP installation, application support package, application Java patch, and correction of installed software information based on the SUM tool, so as to generally improve the overall performance and functions of the data center system 100.
Another improvement of the present invention is to provide a method for using an ERP system in dual live deployment in dual data centers, which specifically includes the following steps:
s100, in a secure network environment, starting an ERP system and an X86PC server and completing registration;
s200, the X86 server sends a task acquisition request to the ERP system every preset time, a data center system of the ERP system performs database full backup, a export directory and an import directory are created, enough space is reserved according to data quantity, and task configuration information is reasonably selected and generated;
s300, based on the configuration information of the tasks, the source data model converts the number of the tasks and the data information which are being executed according to the performance index of the X86 server and sends the tasks and the data information to a double-data deployment system;
s400, the double-data deployment system processes the migrated data based on the acquired task information and imports the processed data into a destination database module;
s500, checking the processed and imported data;
s510, if the verification is successful, switching the data source to a database or a memory of an X86 server to complete data migration;
s520, recording failure information if the verification fails, wherein the failure information comprises failure times and abnormal data; and (4) performing repair processing and verification on the abnormal data until the verification is successful, and enabling the data source to a database or a memory of the X86 server to complete data migration.
The specific process of performing the repairing process and the verification on the abnormal data in step S520 includes the following steps:
s521, verifying the data which are judged to be abnormal again in the double-data deployment system, if the verification is successful, directly importing the data source into a database of an X86 server from an ERP system to finish data migration, if the verification is failed, recording failure information, and recording the failure information of the verification failure into an abnormal information table;
and S521, acquiring data information which fails to be checked from the abnormal information table, circularly processing the data according to the positive sequence, generating a data format which is received and compatible by the source database, such as Rowkey, converted into a data format of HBase, sending the data format back to the source database, and performing repair processing by the source database.
In summary, the data center system is arranged in the ERP system, and the migration of data from the ERP system to the X86 server can be realized based on data isomerism by adopting a double-data deployment mode. Such data migration only needs the office staff to handle, need not professional and intervene, and the automatic data processing efficiency of procedure is the geometric times increase along with the data bulk is promoted, can save a large amount of human costs for the company. In addition, the method is not only suitable for ERP data migration, as long as the description of the parameter comparison table is clear, all similar data migration tasks can be processed similarly, the use method is simple and quick, and the accuracy of the data source to the destination database is ensured by monitoring, repairing and correcting in real time in the migration process.
The component structures, connection relationships, operation principles, and the like, which are not described in the present embodiment, are realized by using the prior art, and a description thereof will not be repeated.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1. An ERP system is characterized by comprising a login system, a functional system and a data center system, wherein,
the login system is used for recording and pre-storing an account given to the ERP system user and transmitting the account information of the user to the data center system; meanwhile, the system is connected with the functional system, accesses and receives a demand request sent by the functional system, and receives a feedback result obtained by the demand request;
the functional system is used for realizing the tight integration of people, property, production, supply and sale, and corresponding logistics, information flow and management flow of users of the ERP system, storing the integrated information in the data center system and realizing the optimization and sharing of resources;
the data center system is used for data migration and deployment of the ERP system to the X86 server.
2. The ERP system of claim 1, wherein the functional system comprises at least a cost accounting subsystem, a procurement management subsystem, a sales management subsystem, a production management subsystem, and a logistics management subsystem;
the cost accounting subsystem, the purchasing management subsystem, the selling management subsystem, the production management subsystem and the logistics management subsystem are respectively and independently used for completing data information transmission with the login system and the data center system.
3. The ERP system of claim 1, wherein the data center system comprises at least a source database module, a source data model, a dual data deployment system, and a destination database module;
the source data module is used for storing and processing supplier lists, customer information, inventory data, sales orders, purchase orders, financial accounts receivable and financial accounts payable data information of the ERP system;
the source data model is used for carrying out model definition on the data source so as to facilitate the inspection and correction of the attribute of the data source when the data source is exported from the ERP system, and ensure that the exported data source is correct;
the double-data deployment system is used for realizing data migration between the ERP system and the X86 server.
4. The ERP system of claim 3, wherein the source data model is implemented using an Oracle model.
5. The ERP system according to claim 3, wherein the dual data deployment system includes a data migration module, a dynamic migration module, a data management module, and an auxiliary function module, and the modules are connected in a parallel information transfer manner.
6. The ERP system of claim 5, wherein the data migration module is configured to convert and migrate the relational database data in the ERP system to the data management module and the X86 server for user management.
7. The ERP system of claim 5, wherein the dynamic migration module is configured to monitor, in real time, that when the data migration module performs data export and import, changes of data in the relational database include addition and modification of data, and dynamically migrate updates of data in the relational database to the X86 server in real time.
8. The ERP system according to claim 5, wherein the data management module is used for implementing data copying between a source database module and a destination database module, data switching between the ERP system and the X86 server, and management of various files and logs based on a heterogeneous system.
9. The ERP system of claim 8, wherein the data management module is configured to implement matching of the deployment scenario of the data and the user access behavior in a distributed deployment manner based on an R3LOAD tool when performing system and data switching.
10. A method for using the ERP system in dual live deployment in dual data centers according to any one of claims 1 to 9, comprising the steps of:
s100, in a secure network environment, starting an ERP system and an X86PC server and completing registration;
s200, the X86 server sends a task acquisition request to the ERP system every preset time, a data center system of the ERP system performs database full backup, a export directory and an import directory are created, enough space is reserved according to data quantity, and task configuration information is reasonably selected and generated;
s300, based on the configuration information of the tasks, the source data model converts the number of the tasks and the data information which are being executed according to the performance index of the X86 server and sends the tasks and the data information to a double-data deployment system;
s400, the double-data deployment system processes the migrated data based on the acquired task information and imports the processed data into a destination database module;
s500, checking the processed and imported data;
s510, if the verification is successful, switching the data source to the database or the memory of the X86 server to complete the data migration
S520, recording failure information if the verification fails, wherein the failure information comprises failure times and abnormal data; and (4) performing repair processing and verification on the abnormal data until the verification is successful, and enabling the data source to a database or a memory of the X86 server to complete data migration.
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