CN104699799A - Data transmission method based on cross system - Google Patents
Data transmission method based on cross system Download PDFInfo
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- CN104699799A CN104699799A CN201510121645.5A CN201510121645A CN104699799A CN 104699799 A CN104699799 A CN 104699799A CN 201510121645 A CN201510121645 A CN 201510121645A CN 104699799 A CN104699799 A CN 104699799A
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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
- G06F16/10—File systems; File servers
- G06F16/11—File system administration, e.g. details of archiving or snapshots
- G06F16/128—Details of file system snapshots on the file-level, e.g. snapshot creation, administration, deletion
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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
- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/182—Distributed file systems
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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
- G06F16/25—Integrating or interfacing systems involving database management systems
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Abstract
The invention discloses a data transmission method based on a cross system. The method comprises the following steps: setting an only identifier aiming at each data type on a source system; setting the identifier with the same data type in the source system to a data type corresponding to a data type in the source system in a target system according to a data type corresponding relation between the source system and the target system; establishing a transmission platform, wherein the transmission platform can be used for converting received data between a source system data format and a target system data format; transmitting source system data to the transmission platform; and converting the data format received by the source system into the target system data format by the transmission platform, and sending the target system data format to the target system. With the adoption of the technical scheme, the data format conversion is carried out by the transmission platform, and the data transmission of the systems with different data formats is realized.
Description
Technical field
The present invention relates to data processing field, particularly, relate to a kind of based on cross-system data transmission method.
Background technology
Under prior art condition, the data transmission between the system with Different Logic can only adopt direct-connected mode.Such mode is higher for the performance requirement of system, could use or store because system needs to carry out a large amount of conversion work to the data sent or receive.Further, docking port exploitation or matching logic is also needed to carry out a large amount of technological adjustment.The real-time conversion of such patten's design two system data relations and correspondence, workload is large, and in transmitting procedure, error probability is high.
For the problems referred to above, in prior art, there is no good solution.
Summary of the invention
The object of this invention is to provide a kind of method, the data transmission of cross-system can be realized by the method.
To achieve these goals, the invention provides a kind of based on cross-system data transmission method, the method comprises: arrange unique identifier at origin system place for each data type; According to the data type corresponding relation of origin system and object system, to the identifier that data type is arranged and in this origin system, data type is identical corresponding with data type in origin system in object system; Set up and forward platform, the data received can be changed by this forwarding platform between source system data form and object System Data Format; Described source system data is transferred to described forwarding platform; And described forwarding platform will be sent to described object system after System Data Format for the purpose of the format conversion of the data received from described origin system.
Further, the method also comprises: after described object system acceptance to the data from forwarding platform, send response to described forwarding platform.
Further, the method also comprises: after described object system acceptance to the data from forwarding platform, the identifier that the data received by described object system queries are corresponding; And when there is no corresponding identifier in described object system, the data received by storage and identifier.
Further, the method also comprises: after described object system acceptance to the data from forwarding platform, the identifier that the data received by described object system queries are corresponding; And when there is corresponding identifier in described object system, to should identifier store received by data.
Further, the method also comprises: the data received are transferred to described forwarding platform by described object system; Described forwarding platform by from described object system acceptance to the format conversion of data be sent to described origin system after source system data form; And described origin system performs data check according to the data received.
Further, the method also comprises: each step is divided into multiple subtasks node; The computing be assigned needed for the node of subtask carries out calculation process to the multiple computer nodes in described computer cluster; Preserve the state snapshot of described multiple computer node calculation process; And when described subtask node interrupts, recover the subtask node state before interrupting according to described state snapshot, and continue to perform the subtask node interrupted.
Further, the method also comprises: carry out heartbeat detection to described multiple computer node; And be redistributed to other computer nodes by being assigned to the computing of heartbeat detection without the computer node of response.
Further, the method also comprises: the calculation process result of described multiple computer node is saved in the shared storage be connected with all computer nodes in described computer cluster.
Further, the method also comprises: after all computer node calculation process performing current subtask node complete, distribute the computing completed needed for the node of next subtask.
Further, the method also comprises: complete the computing needed for the node of subtask described in distributing according to greedy algorithm.
By technique scheme, carrying out Data Format Transform by forwarding platform, realizing the data transmission between the system with different data format.
Other features and advantages of the present invention are described in detail in embodiment part subsequently.
Accompanying drawing explanation
Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for instructions, is used from explanation the present invention, but is not construed as limiting the invention with embodiment one below.In the accompanying drawings:
Fig. 1 be according to embodiment of the present invention based on cross-system data transmission method process flow diagram;
Fig. 2 be according to embodiment of the present invention based on cross-system data transmission method process flow diagram;
Fig. 3 be according to exemplary embodiment of the invention based on cross-system data transmission method process flow diagram;
Fig. 4 be according to exemplary embodiment of the invention based on cross-system data transmission method process flow diagram.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in detail.Should be understood that, embodiment described herein, only for instruction and explanation of the present invention, is not limited to the present invention.
Fig. 1 be according to embodiment of the present invention based on cross-system data transmission method process flow diagram.As shown in Figure 1, embodiment of the present invention provides a kind of based on cross-system data transmission method, and the method comprises: S101, arranges unique identifier at origin system place for each data type; S102, according to the data type corresponding relation of described origin system and object system, arranges the identifier identical with data type in described origin system to data type corresponding with data type in described origin system in described object system; S103, set up and forward platform, the data received can be changed by this forwarding platform between source system data form and object System Data Format; S104, transfers to described forwarding platform by described source system data; And S105, described forwarding platform will be sent to described object system after System Data Format for the purpose of the format conversion of the data received from described origin system.By technique scheme, carrying out Data Format Transform by forwarding platform, realizing the data transmission between the system with different data format.
In embodiments, method can also comprise: after described object system acceptance to the data from forwarding platform, send response to described forwarding platform.Then, forwarding platform can send the response received to origin system with source system data form, and sends successfully with report data.Object system is needed to judge to process accordingly to the data received.In embodiments, after object system acceptance to the data from forwarding platform, object system can inquire about identifier corresponding to received data; And when not having corresponding identifier in described object system, object system can store received data and identifier.In interchangeable embodiment, when there is corresponding identifier in object system, object system can to should identifier store received by data.
Fig. 2 be according to embodiment of the present invention based on cross-system data transmission method process flow diagram.As shown in Figure 2, in embodiments, cross-system data transmission method provided by the invention can comprise checking procedure: S201, and the data received are transferred to described forwarding platform by described object system; S202, described forwarding platform by from described object system acceptance to the format conversion of data be sent to described origin system after source system data form; And S203, described origin system performs data check according to the data received.By said process, the data foldback received can be returned origin system by object system, to be verified by the correctness of origin system to data.
Fig. 3 be according to exemplary embodiment of the invention based on cross-system data transmission method process flow diagram.As shown in Figure 3, embodiment of the present invention provide based on cross-system data transmission method, can comprise: S301, each step is divided into multiple subtasks node; S302, the computing be assigned needed for the node of subtask carries out calculation process to the multiple computer nodes in described computer cluster; S303, preserves the state snapshot of described multiple computer node calculation process; And S304, when described subtask node interrupts, recover the subtask node state before interrupting according to described state snapshot, and continue to perform the subtask node interrupted.
By technique scheme, the computing completed needed for a task chain step is assigned to multiple computer node and carries out calculation process, operand can be broken the whole up into parts, improve task run speed; By preserving the state snapshot of calculation process, when task chain step is interrupted for some reason, task chain step can be returned to state before interrupting, thus continue chain of executing the task from before interruption state.Therefore, by technique scheme, when task chain step or node failure, can continue from the step of failure or node chain of executing the task, and without the need to repeating from original state, improve task treatment effeciency, reducing the wasting of resources.
In a preferred embodiment, said method can also comprise: carry out heartbeat detection to multiple computer node; And be redistributed to other computer nodes by being assigned to the computing of heartbeat detection without the computer node of response.The duty of the computer node carrying out computing can be determined by heartbeat detection.Can both completing in order to ensure the computing being assigned to each computer node, when there is heartbeat detection without the computing machine responded, the computing being assigned to this computer node can be re-assigned to the normal computer node of other heartbeat detection.Preferably, the computer node be re-assigned to can be the computer node having completed the computing be assigned with, and can make full use of idle computing resources like this and complete computing.
Computer node in order to the computing of each task node or subtask node in the chain that enables to finish the work obtains the data needed for computing, in embodiments, method can also comprise: the calculation process result of described multiple computer node is saved in the shared storage be connected with all computer nodes in described computer cluster.All like this computer nodes can obtain operational data when computing starts from shared storage, and in shared storage, store operation result when computing completes.Here it should be noted that, the state snapshot of computer node calculation process also can be kept in shared storage, or also can arrange snapshot separately.The example of storer is including, but not limited to ROM (read-only memory) (ROM), random access memory (RAM), register, memory buffer, semiconductor memory apparatus etc.
In various embodiments, the method can also comprise: after all computer node calculation process performing current subtask node complete, distribute the computing completed needed for the node of next subtask.In embodiments, there is multiple situation to need to perform above-mentioned steps.Such as, for a large amount of computing, need the computing of the subtask node using all computer nodes in computer cluster to participate in, only have the computing that could continue to distribute next son task node after all computer nodes all complete calculation process.For another example, the situation of the computing of next son task node could be distributed after whole operation results of a upper subtask node are obtained for needs, also need in method to comprise such step.Certainly, in embodiments, also the computing of different subtasks node can be processed the different computer node groups be simultaneously assigned in computer cluster.
Below in conjunction with Fig. 4, the implementation procedure based on cross-system data transmission method is described.As shown in Figure 4, a task chain from start to end between can have multiple task node (or net-shape processed node), can comprise (such as having fully connected topology) multiple subtasks node in each task node, one or more computer node (not shown)s that the computing of each subtask node can be assigned in computer cluster process.The computing that each computer node will carry out can be undertaken by unified Master Control Unit, and this Master Control Unit can be a computer node in computer cluster, is responsible for the heartbeat detection of other all computer nodes in computer cluster simultaneously.Data (such as, the calculation process result of computer node) shared in the context relevant to computing can be saved to the shared storage be connected with all computer nodes in described computer cluster.After the computing completing last net-shape processed node, can operation result be exported, such as, output to intended application.It should be noted that, the task chain comprising three net-shape processed nodes has been shown in Fig. 4, but accompanying drawing is only for exemplary purpose, the length of task chain is not limited.Such as can use 5 net-shape processed nodes according to of the present invention based on cross-system data transmission method, respectively each step shown in Fig. 1 be processed.
In a preferred embodiment, the computing needed for the node of subtask can be completed according to greedy algorithm distribution.That is, the computer node that most complex calculations give computing power the strongest can be processed, and then guarantee the processing speed of whole computing.
In a preferred embodiment, computer cluster can be made up of the computer node disposing cloud computing platform, thus can utilize the resources advantage of cloud computing platform, reduces the hardware requirement of a large amount of computing to computer node.Such as, HADOOP cloud computing platform can be used, and computer node can for deploying cloud computing platform (such as HADOOP's) LINUX system server.Below, in conjunction with HADOOP cloud computing platform, the implementation based on cross-system data transmission method according to the present invention is described (having made a concrete analysis of realization and the effect of each step of method above, being only described from being generally suitable for the implementation of angle to task chain here).
In one embodiment, task chain development mode and command mode collocation HADOOP cloud computing platform can be used to realize task chain implementation.Its concrete embodiment is as follows:
(1) according to business demand (processing sequence), task processing chain is carried out function cutting;
(2) task sequencing and dependence in task chain is determined;
(3) register unified interface, inherit interface and specific implementation is carried out to each task;
(4) multiple stage (such as, 5 to 10) common server (LINUX operating system) is chosen, as the node of report data computing;
(5) at these common server deploy HADOOP platforms, these machine assemblies are become a Distributed Calculation cluster;
(6) initialization distributed file system (HDFS) on Distributed Calculation cluster;
(7) by processing chain desired data file push to HADOOP distributed file system (HDFS);
(8) when node calculates, system can carry out cutting to input file automatically, is distributed to HADOOP cluster and carries out Distributed Parallel Computing;
(9) node that system can calculate HADOOP cluster carries out heartbeat detection, and the calculating running status of the netted task node of Real-Time Monitoring, removes in time without responsive node, and will without responsive node calculate Data dissemination to other nodes proceed calculate;
(10) all nodes carry out after calculating completes, and data are sent in territory, chain type node context sharing data area, can for other nodes;
(11) in chain type node operational process, system generates current computing mode snapshot automatically, and enough data can be provided can to proceed data processing for task chain when processing chain makes a mistake; And
(12) export to intended application by unified for final data result, task chain terminates.
The computing of each step in method can be distributed to multiple computing node by the task processing method that embodiment provides above to process, the continuation after tasks interrupt can also be realized perform and repeat without the need to the original state from task chain, thus can greatly improve task treatment effeciency.
The present invention is further illustrated below in conjunction with an embodiment.
Under triangular web, assets whole process management system disposes scope comparatively greatly, requires higher for equipment control.Cross-system asynchronous transmission is carried out by means of SAP ERP system and EAM system equipment, the device data of ERP system and EAM system data are carried out unification in logic and synchronous, the examination & approval of the assets card before equipment outbound can be realized, and the establishment of card and the outbound of equipment is realized after card examination & approval, realize assets and check with the hook of equipment and associate.
Technique scheme is applied to equipment Whole Course Management, be mainly used in the convergence process realizing equipment purchase and equipment capitalization, and in convergence process, realize the examination & approval of assets card, comprise the relevant informations such as unit type, acquisition value, capitalization classification and statement of assets.Such as, after equipment purchase warehouse-in, in capitalization process, the application of this kind of technical scheme can be related in the business scenario needing to examine through purchasing department, equipment control department, Asset Mgmt Dept and financial management part, process.
Embodiment of the present invention can be utilized in the applied environment of above-mentioned citing to provide based on cross-system data transmission method.
In embodiments, data in the material requistion of generation can be passed to PI platform by interface by SAP system, PI platform can transfer data to EAM system, and then data are saved in database table by EAM system, accepting state can be passed back to SAP system (success/mistake) simultaneously.If make a mistake, error message can be returned to SAP system.
Relevant interface field as an example can comprise: assets odd numbers to be confirmed, row item number, material code, material description, quantity, unit price, supplier, supplier's description, sector of demand's coding+description, factory's coding+description, purchase order number, Contract NO etc.;
Processing mode is as an example asynchronous;
Transmission mode can for transmit one by one;
Interface direction is set to SAP system triggers EAM system;
Interface service take over party (object system): EAM;
Interface service sender (origin system): SAP.
Table 1: source system data parameter and identifier
Table 2: object system data parameter and identifier
As shown in Table 1 and Table 2, after being dealt into EAM system after the data in SAP system are by the conversion of PI platform, EAM system can identify the identifier of the data received.Such as, when EAM system queries is to (having the data parameters item corresponding to identifier X) during identifier X in EAM system, the Contract NO data in the Contract NO Data Update EAM system received can be utilized.For another example, (in EAM system, do not correspond to the data parameters item of identifier U) when EAM system does not inquire identifier U, the material code received and identifier U can be stored in EAM system and form new data item.
Below the preferred embodiment of the present invention is described in detail by reference to the accompanying drawings; but; the present invention is not limited to the detail in above-mentioned embodiment; within the scope of technical conceive of the present invention; can carry out multiple simple variant to technical scheme of the present invention, these simple variant all belong to protection scope of the present invention.Such as, computer node can be changed into computing node or computing unit.
It should be noted that in addition, each the concrete technical characteristic described in above-mentioned embodiment, in reconcilable situation, can be combined by any suitable mode.In order to avoid unnecessary repetition, the present invention illustrates no longer separately to various possible array mode.
In addition, also can carry out combination in any between various different embodiment of the present invention, as long as it is without prejudice to thought of the present invention, it should be considered as content disclosed in this invention equally.
Claims (10)
1. based on a cross-system data transmission method, it is characterized in that, the method comprises:
At origin system place, unique identifier is set for each data type;
According to the data type corresponding relation of described origin system and object system, the identifier identical with data type in described origin system is arranged to data type corresponding with data type in described origin system in described object system;
Set up and forward platform, the data received can be changed by this forwarding platform between source system data form and object System Data Format;
Described source system data is transferred to described forwarding platform; And
Described forwarding platform will be sent to described object system after System Data Format for the purpose of the format conversion of the data received from described origin system.
2. according to claim 1ly it is characterized in that based on cross-system data transmission method, the method also comprises:
After described object system acceptance to the data from forwarding platform, send response to described forwarding platform.
3. according to claim 1ly it is characterized in that based on cross-system data transmission method, the method also comprises: described object system acceptance to from after the data forwarding platform, the identifier that the data received by described object system queries are corresponding; And
When there is no corresponding identifier in described object system, the data received by storage and identifier.
4. according to claim 1ly it is characterized in that based on cross-system data transmission method, the method also comprises: described object system acceptance to from after the data forwarding platform, the identifier that the data received by described object system queries are corresponding; And
When there is corresponding identifier in described object system, to should identifier store received by data.
5. according to claim 1ly it is characterized in that based on cross-system data transmission method, the method also comprises:
The data received are transferred to described forwarding platform by described object system;
Described forwarding platform by from described object system acceptance to the format conversion of data be sent to described origin system after source system data form; And
Described origin system performs data check according to the data received.
6. the method any one of claim 1-5 described in claim, is characterized in that, the method also comprises:
Each step is divided into multiple subtasks node;
The computing be assigned needed for the node of subtask carries out calculation process to the multiple computer nodes in described computer cluster;
Preserve the state snapshot of described multiple computer node calculation process; And
When described subtask node interrupts, recover the subtask node state before interrupting according to described state snapshot, and continue to perform the subtask node interrupted.
7. method according to claim 6, is characterized in that, the method also comprises:
Heartbeat detection is carried out to described multiple computer node; And
Other computer nodes are redistributed to by being assigned to the computing of heartbeat detection without the computer node of response.
8. method according to claim 6, is characterized in that, the method also comprises:
The calculation process result of described multiple computer node is saved in the shared storage be connected with all computer nodes in described computer cluster.
9. method according to claim 6, is characterized in that, the method also comprises:
After all computer node calculation process performing current subtask node complete, the computing completed needed for the node of next subtask is distributed.
10. method according to claim 6, is characterized in that, the method also comprises:
The computing needed for the node of subtask is completed described in distributing according to greedy algorithm.
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Application publication date: 20150610 |
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