CN106250243A - The processing method and processing device of banking system based on poll tupe application - Google Patents

The processing method and processing device of banking system based on poll tupe application Download PDF

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CN106250243A
CN106250243A CN201610659085.3A CN201610659085A CN106250243A CN 106250243 A CN106250243 A CN 106250243A CN 201610659085 A CN201610659085 A CN 201610659085A CN 106250243 A CN106250243 A CN 106250243A
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application
record
cluster
transaction data
banking system
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CN106250243B (en
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林雪南
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Bank of China Ltd
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Bank of China Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2209/00Indexing scheme relating to G06F9/00
    • G06F2209/50Indexing scheme relating to G06F9/50
    • G06F2209/5017Task decomposition

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  • Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)

Abstract

The embodiment of the invention discloses the processing method and processing device of a kind of banking system based on poll tupe application, relate to banking system application processing technology field, the method includes: generate cluster divisor remainder table;According to described cluster divisor remainder table, each node that processes in computer cluster processing system obtains each pending transaction data of banking system application;Obtain the anti-of described pending transaction data from described process node and repeat process information;Described pending transaction data anti-being repeated process information be inserted into a cluster and rob in tran list, the anti-repetition forming pending transaction data processes record;Process node pending transaction data is processed.The present invention can solve owing to the data volume of current banking system is huge, the fluctuation of service of current banking system based on poll tupe application, it is easy to the problem broken down.

Description

The processing method and processing device of banking system based on poll tupe application
Technical field
The present invention relates to banking system application processing technology field, particularly relate to a kind of bank based on poll tupe The processing method and processing device of system application.
Background technology
Banking system based on poll tupe application typically refers to the application of the asynchronous process being traded, such as visitor Transaction Information, after banking system submits transaction to, is stored in data base or other storage organizations, by based on poll tupe by family Banking system criteria in application certain condition (such as reservation processing time, stateful transaction etc.) poll go out pending transaction, and by Pen processes pending transaction.
Owing to the data volume of current banking system is huge, the fortune of current banking system based on poll tupe application Row instability, it is easy to break down.
Summary of the invention
Embodiments of the invention provide the processing method and processing device of a kind of banking system based on poll tupe application, To solve owing to the data volume of current banking system is huge, the operation of current banking system based on poll tupe application Unstable, it is easy to the problem broken down.
For reaching above-mentioned purpose, the present invention adopts the following technical scheme that
A kind of processing method of banking system based on poll tupe application, including:
Generate cluster divisor remainder table;
According to described cluster divisor remainder table, each node acquisition banking system that processes in computer cluster processing system is answered Each pending transaction data;
Obtain the anti-of described pending transaction data from described process node and repeat process information;
Described pending transaction data anti-is repeated process information be inserted into a cluster and rob in tran list, formed pending The anti-repetition of transaction data processes record;
Process node pending transaction data is processed.
The described anti-process information that repeats includes: banking system Apply Names corresponding to pending transaction data, pending The transaction journal number of transaction data and send the described anti-process node identification repeating process information;
The described anti-process record that repeats includes that anti-repetition processes record serial number in cluster robs tran list, pending friendship Easily banking system Apply Names corresponding to data, the job identification of pending transaction data, the transaction of pending transaction data Serial number, anti-repeat to process that record robs the time of setting up of tran list at cluster, anti-repetition processes record out-of-service time and transmission The described anti-process node identification repeating process information.
Concrete, described pending transaction data anti-is repeated process information and is inserted into a cluster and robs in tran list, shape The anti-repetition becoming pending transaction data processes record, including:
Whether the unique index information according to pending transaction data judges cluster to rob in tran list has this unique index to believe The anti-repetition that breath is corresponding processes record;Described unique index information includes: the banking system corresponding to pending transaction data should With title, the job identification of pending transaction data and the transaction journal number of pending transaction data;
If described cluster is robbed anti-repetition thing have this unique index information corresponding in tran list and processed record, described waiting is not located The anti-process information that repeats of reason transaction data is inserted into described cluster and robs in tran list;
If described cluster is robbed anti-repetition that in tran list, this unique index information is not corresponding and processed record, described waiting is located The anti-process information that repeats of reason transaction data is inserted into described cluster and robs in tran list, forms the anti-repetition of pending transaction data Process record.
Further, it is somebody's turn to do the processing method of banking system based on poll tupe application, also includes:
Processing after the pending transaction data of node processing one completes, anti-heavy by corresponding to described pending transaction data The multiple record that processes robs deletion in tran list at described cluster.
Further, it is somebody's turn to do the processing method of banking system based on poll tupe application, also includes:
Judge whether current time processes the record out-of-service time beyond anti-repetition the corresponding to pending transaction data;
When current time repeats to process the record out-of-service time beyond anti-corresponding to pending transaction data, treat described Process the anti-process record that repeats corresponding to transaction data and rob deletion in tran list at described cluster.
Further, it is somebody's turn to do the processing method of banking system based on poll tupe application, also includes:
After process node obtains a pending transaction data, and before pending transaction data is formally processed, at silver Row system database is inquired about tran list data;
If have the transaction journal number corresponding to pending transaction data in described tran list data, and described transaction journal number Corresponding stateful transaction is that transaction completes, then process node and do not process described pending transaction data.
Concrete, generate cluster divisor remainder table, including:
Generate the Real-Time Cluster application data sheet of banking system application;Described Real-Time Cluster application data sheet includes department of banking Application record on system application reason node throughout;Described application record includes that banking system Apply Names, banking system are applied Run process node process node identification, the described application record time of setting up in Real-Time Cluster application data sheet with And the application record out-of-service time;
Determine that each banking system applies the process node total number run according to described Real-Time Cluster application data sheet;Institute Stating process node total number is N;
The process node identification processing node that the application of each banking system is run is arranged by a preset order, And the first remainder and the divisor of each process node is determined according to described preset order;Wherein, described divisor is N, respectively processes node The first remainder be respectively 0 to N-1 according to described preset order;
The first remainder and divisor according to each process node generate cluster divisor remainder table;Described cluster divisor remainder table bag Include each divisor remainder record processing node of banking system application;Described divisor remainder record includes: banking system application name Claim, banking system applies that is run to process the process node identification of node, divisor remainder record in cluster divisor remainder table Time of setting up and each process the first remainder corresponding to node and divisor;
According to described cluster divisor remainder table, each node acquisition banking system that processes in computer cluster processing system is answered Each pending transaction data, including:
Transaction journal number and the described divisor of each pending transaction data according to banking system application determine each pending The second remainder that transaction data is corresponding;Described second remainder is: M=SmodN;S is the transaction journal number of pending transaction data; N is described divisor;
Second remainder and the first remainder being mated, if the second remainder and the first remainder are equal, the first remainder is corresponding Process node and obtain the pending transaction data that described second remainder is corresponding.
Additionally, be somebody's turn to do the processing method of banking system based on poll tupe application, also include:
Judge the application record out-of-service time whether current time records beyond an application;
When current time is beyond the application record out-of-service time of described application record, by described application record in described reality Time cluster application tables of data in delete.
A kind of processing means of banking system based on poll tupe application, including:
Cluster divisor remainder table signal generating unit, is used for generating cluster divisor remainder table;
Pending transaction data acquiring unit, for according to described cluster divisor remainder table, computer cluster processing system In each node that processes obtain each pending transaction data of banking system application;
Anti-repetition processes information acquisition unit, for obtaining the anti-heavy of described pending transaction data from described process node Process information again;
Anti-repetition processes record generation unit, for the anti-process information that repeats of described pending transaction data being inserted into One cluster is robbed in tran list, and anti-repetition theing form pending transaction data processes record;
Data processing unit, is used for processing node and processes pending transaction data.
Further, the described anti-anti-process information that repeats repeating to process information acquisition unit acquisition includes: pending friendship Easily banking system Apply Names, the transaction journal number of pending transaction data corresponding to data and send and described anti-repeat place The process node identification of reason information;
The described anti-anti-process record that repeats repeating to process record generation unit generation includes that anti-repetition processes record at collection Group robs banking system Apply Names corresponding to the serial number in tran list, pending transaction data, pending transaction data Job identification, the transaction journal number of pending transaction data, the anti-process record that repeats are robbed the time of setting up of tran list at cluster, are prevented Repeat process the record out-of-service time and send the described anti-process node identification repeating process information.
Concrete, described anti-repetition processes record generation unit, including:
Anti-repetition processes record judge module, for judging that cluster is robbed according to the unique index information of pending transaction data The anti-repetition whether having this unique index information corresponding in tran list processes record;Described unique index information includes: pending Banking system Apply Names, the job identification of pending transaction data and pending transaction data corresponding to transaction data Transaction journal number;
Anti-repetition processes record processing module, has this unique index information corresponding for robbing at described cluster in tran list Anti-when repeating to process record, described pending transaction data anti-is not repeated process information and is inserted into described cluster and robs tran list In;Described cluster rob in tran list corresponding anti-of not this unique index information repeat to process record time, by described pending Transaction data anti-is repeated process information and is inserted into described cluster and robs in tran list, forms the anti-of pending transaction data and repeats place Reason record.
Further, it is somebody's turn to do the processing means of banking system based on poll tupe application, also includes:
Anti-repetition processes record deletion unit, after completing at the process pending transaction data of node processing one, by institute State the anti-process record that repeats corresponding to pending transaction data and rob deletion in tran list at described cluster.
Further, it is somebody's turn to do the processing means of banking system based on poll tupe application, also includes:
Anti-repetition processes record out-of-service time judging unit, is used for judging that whether current time is beyond pending transaction data Corresponding anti-repetition processes the record out-of-service time;
Anti-repetition processes record deletion unit, for exceeding the anti-repetition corresponding to pending transaction data in current time When processing the record out-of-service time, the anti-process record that repeats corresponding to described pending transaction data is robbed transaction at described cluster Table is deleted.
Further, it is somebody's turn to do the processing means of banking system based on poll tupe application, also includes:
Tran list data query unit, after obtaining a pending transaction data at process node, and to pending Before transaction data formally processes, banking system data base inquires about tran list data;And need in described tran list data Process transaction journal number corresponding to transaction data, and stateful transaction corresponding to described transaction journal number is transaction when completing, place Described pending transaction data is not processed by reason node.
Concrete, described cluster divisor remainder table signal generating unit, including:
Real-Time Cluster application data sheet generation module, for generating the Real-Time Cluster application data sheet of banking system application; Described Real-Time Cluster application data sheet includes the application record on banking system application reason node throughout;Described application record bag Include banking system Apply Names, the process process node identification of node that banking system application is run, described application record exist Time of setting up in Real-Time Cluster application data sheet and application record out-of-service time;
Process node total number and determine module, for determining that each banking system should according to described Real-Time Cluster application data sheet By the process node total number run;Described process node total number is N;
Divisor remainder determines module, for the process node identification the processing node application of each banking system run Arrange by a preset order, and determine the first remainder and the divisor of each process node according to described preset order;Wherein, institute Stating divisor is N, and each the first remainder processing node is respectively 0 to N-1 according to described preset order;
Cluster divisor remainder table generation module, generates cluster divisor for the first remainder according to each process node and divisor Remainder table;Described cluster divisor remainder table includes each divisor remainder record processing node that banking system is applied;Described divisor Remainder record includes: the process node identification, described processing node that the application of banking system Apply Names, banking system is run Divisor remainder record time of setting up in cluster divisor remainder table and each process the first remainder corresponding to node and divisor;
Described pending transaction data acquiring unit, including:
Second remainder determines module, for according to banking system application each pending transaction data transaction journal number and Described divisor determines the second remainder that each pending transaction data is corresponding;Described second remainder is: M=SmodN;S is pending The transaction journal number of transaction data;N is described divisor;
Data acquisition module, for the second remainder and the first remainder are mated, if the second remainder and the first remainder phase Deng, what the first remainder was corresponding processes the pending transaction data that node described second remainder of acquisition is corresponding.
Further, it is somebody's turn to do the processing means of banking system based on poll tupe application, also includes:
Application record out-of-service time judging unit, for judging that whether current time is beyond an application record applying record Out-of-service time;
Unit deleted in application record, when the application record out-of-service time exceeding described application record in current time, Described application record is deleted in described Real-Time Cluster application data sheet.
The processing method and processing device of banking system based on the poll tupe application that the embodiment of the present invention provides, it is possible to According to described cluster divisor remainder table, each node that processes in computer cluster processing system obtain each of banking system application Pending transaction data, thus realized based on poll tupe by the multiple process nodes in computer cluster processing system The equilibrium treatment of banking system application, it is to avoid owing to the data volume of current banking system is huge, current based on poll at The fluctuation of service of the banking system application of reason pattern, it is easy to the problem broken down, is robbed in tran list by cluster simultaneously Anti-repeat process record multiple process node can be avoided to process same pending data simultaneously.Further, since computer collection Group's processing system includes multiple process node, and process performance is higher, it is possible to process the more data of current bank system.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is only this Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, also may be used To obtain other accompanying drawing according to these accompanying drawings.
The processing method of a kind of based on poll tupe the banking system application that Fig. 1 provides for the embodiment of the present invention Flow chart one;
The processing method of a kind of based on poll tupe the banking system application that Fig. 2 provides for the embodiment of the present invention Flowchart 2;
Fig. 3 provides the knot of the processing means of a kind of banking system based on poll tupe application for the embodiment of the present invention Structure schematic diagram one;
Fig. 4 provides the knot of the processing means of a kind of banking system based on poll tupe application for the embodiment of the present invention Structure schematic diagram two.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Based on Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under not making creative work premise Embodiment, broadly falls into the scope of protection of the invention.
Inventor finds when studying the present invention, prior art convenience based on application and development, processes mould based on poll The banking system of formula applies general employing one-point system operation, i.e. application with the side of single process on a computer node Formula is run.So, when computer single-point breaks down, (such as computer hardware, operating system, banking system application are originally die Barrier) banking system based on poll tupe application i.e. can be caused to continue to run with, cause the operation troubles of application.Separately Outward, along with being gradually increased of banking amount, standalone processes mode has been difficult to when the portfolio processed reaches UPS upper performance score Process other business further, it is difficult to process substantial amounts of banking business data.Based on this, inventors herein propose following technical side Case:
As it is shown in figure 1, the process that a kind of based on poll tupe the banking system that the embodiment of the present invention provides is applied Method, including:
Step 101, generation cluster divisor remainder table.
Step 102, according to described cluster divisor remainder table, each node that processes in computer cluster processing system obtains silver The each pending transaction data of row system application.
Step 103, from process node obtain the anti-of pending transaction data repeat process information.
Step 104, the process information that described pending transaction data anti-repeated are inserted into a cluster and rob in tran list, shape The anti-repetition becoming pending transaction data processes record.
Pending transaction data is processed by step 105, process node.
In embodiments of the present invention, this computer cluster can pass through one group of loose integrated computer software and hardware, Or only couple together, by software or hardware, the evaluation work that the most closely cooperated.Single meter in computer cluster Calculation machine commonly referred to processes node, and whole computer cluster can be connected by LAN.
The processing method of banking system based on the poll tupe application that the embodiment of the present invention provides, it is possible to according to institute State cluster divisor remainder table, each node that processes in computer cluster processing system obtain each pending of banking system application Transaction data, thus realize bank based on poll tupe by the multiple process nodes in computer cluster processing system The equilibrium treatment of system application, it is to avoid currently employed one-point system runs the application of banking system of based on poll tupe, When computer single-point breaks down, banking system applies the problem that cannot continue to run with, and is robbed in tran list by cluster simultaneously Anti-repeat process record multiple process node can be avoided to process same pending data simultaneously.Further, since computer collection Group's processing system includes multiple process node, and process performance is higher compared to one-point system, it is possible to process current bank system More data.
In order to make those skilled in the art be better understood from the present invention, a more specifically embodiment is set forth below, As in figure 2 it is shown, the processing method that a kind of based on poll tupe the banking system that the embodiment of the present invention provides is applied, bag Include:
In order to ensure cluster load balance, need to perform following steps 201-step 204.
Step 201, the Real-Time Cluster application data sheet of generation banking system application.
Wherein, described Real-Time Cluster application data sheet includes the application record on banking system application reason node throughout; Described application record include banking system Apply Names, banking system application run process node process node identification, Described application record time of setting up in Real-Time Cluster application data sheet and application record out-of-service time.
Real-Time Cluster application data sheet herein can be expressed as: AUTO_APPLIVE, and it can be as shown in table 1 below:
Table 1:
SHELL_NAME HOST TIME_STAMP EXPIRE_DATE
startup_b2ep2.sh 426180@ZFNETAP1 The afternoon 16-12 month-15 06.07.03.235808 The afternoon 16-12 month-15 06.07.19.000000
startup_b2ep2.sh 688192@ZFNETAP3 The afternoon 16-12 month-15 06.06.58.736461 The afternoon 16-12 month-15 06.07.14.000000
startup_b2ep2.sh 757856@ZFNETAP5 The afternoon 16-12 month-15 06.06.58.423436 The afternoon 16-12 month-15 06.07.14.000000
Wherein, SHELL_NAME is the banking system Apply Names corresponding to pending transaction data;EXPIRE_DATE is The application record out-of-service time, this application record out-of-service time can be by artificially freely configuring;HOST is for processing node identification. TIME_STAMP is that application record sets up the time in Real-Time Cluster application data sheet.
The application record out-of-service time herein is to safeguard the application record in this Real-Time Cluster application data sheet, is working as During the application record out-of-service time that the front time records beyond application, this application record is deleted in Real-Time Cluster application data sheet Remove.
Step 202, determine according to described Real-Time Cluster application data sheet each banking system application run process joint Point sum.
Wherein, this process node total number is N.
Step 203, the process node identification the processing node application of each banking system run are by a preset order Arrange, and determine the first remainder and the divisor of each process node according to described preset order.
Wherein, described divisor is N, and each the first remainder processing node is respectively 0 to N-1 according to described preset order.
Step 204, generate cluster divisor remainder table according to the first remainder of each process node and divisor.
Wherein, this cluster divisor remainder table includes each divisor remainder record processing node that banking system is applied.This removes Number remainder record includes: banking system Apply Names, banking system are applied the process node identification processing node run, removed Count the remainder record time of setting up in cluster divisor remainder table and respectively process the first remainder corresponding to node and divisor.
This cluster divisor remainder table can be expressed as: AUTO_REMAINDER, this AUTO_REMAINDER can be such as table 2 below Shown in:
Table 2:
SHELL_NAME HOST DIVIDER REMAINDER TIME_STAMP
startup_b2ep2.sh 688192@ZFNETAP3 3 1 The afternoon 16-12 month-15 06.12.13.358474
startup_b2ep2.sh 757856@ZFNETAP5 3 2 The afternoon 16-12 month-15 06.12.13.359358
startup_b2ep2.sh 426180@ZFNETAP1 3 0 The afternoon 16-12 month-15 06.12.13.356713
Wherein, SHELL_NAME is banking system Apply Names;HOST applies the process node run by banking system Process node identification;TIME_STAMP is that divisor remainder record sets up the time in cluster divisor remainder table;REMAINDER For the first remainder that each process node is corresponding;DIVIDER is divisor.
Repeatedly perform above-mentioned steps 201 to step 204, to constantly update cluster divisor remainder table.
Step 205, determine according to the transaction journal number of each pending transaction data of banking system application and divisor and respectively treat Process the second remainder that transaction data is corresponding.
Wherein, this second remainder is: M=SmodN;S is the transaction journal number of pending transaction data;N is described divisor. This second remainder M represents that S is removed rear obtained remainder by N.
Step 206, the second remainder and the first remainder are mated, if the second remainder and the first remainder are equal, more than first What number was corresponding processes the pending transaction data that node described second remainder of acquisition is corresponding.
Herein, such as a example by 3 process nodes, each process node is separately operable silver based on poll tupe Row system is applied, and is properly termed as AUTO1, AUTO2, AUTO3.Each application is to having divisor and remainder.Assume removing of AUTO1 Number is 3, remainder is 1, and the divisor of AUTO2 is 3, remainder is 0, and the divisor of AUTO3 is 3, and remainder is 2.Then AUTO1 takes when poll Transaction journal number divided by more than 31 transaction as pending transaction, AUTO2 takes the friendship that transaction journal number is divided by more than 30 when poll Easily as pending transaction, AUTO1 take when poll transaction journal number divided by more than 32 transaction as pending transaction, thus reach Arrive the purpose (be equivalent to AUTO1, AUTO2, AUTO3 and respectively process the transaction of about 1/3) of load balancing.
Step 207, acquisition banking system are applied at each pending transaction data processed on node.
Step 208, from process node obtain the anti-of pending transaction data repeat process information.
Wherein, this anti-process information that repeats includes: banking system Apply Names corresponding to pending transaction data, wait to locate Manage the transaction journal number of transaction data and send the described anti-process node identification repeating process information.
Step 209, unique index information according to pending transaction data judge cluster robs in tran list whether have this only The anti-repetition that one index information is corresponding processes record.
Wherein, this unique index information includes: banking system Apply Names corresponding to pending transaction data, pending The job identification of transaction data and the transaction journal number of pending transaction data.
If cluster is robbed anti-repetition thing have this unique index information corresponding in tran list and processed record, perform step 210.If collection Group robs anti-repetition that in tran list, this unique index information is not corresponding and processes record, performs step 211.
This cluster is robbed tran list and can be expressed as: AUTO_CLUSTER, and in this AUTO_CLUSTER, anti-repetition processes note Record can be as shown in table 3 below:
Table 3:
Wherein, ID is the anti-serial number repeating and processing record in cluster robs tran list;SHELL_NAME is pending friendship The easily banking system Apply Names corresponding to data;JOB_NAME is the job identification of pending transaction data;TRANS_ID is The transaction journal number of pending transaction data;CRT_DATE is anti-to repeat to process record and set up the time what cluster robbed tran list; EXPIRE_DATE is that anti-repetition processes the record out-of-service time, this is anti-repeat to process the record out-of-service time can be by artificially freely joining Putting, the most anti-repetition processes 10 minutes after the time of setting up that cluster robs tran list of record;HOST locates for sending anti-repetition The process node identification of reason information.
This unique index information is made up of SHELL_NAME+JOB_NAME+TRANS_ID.
Step 210, the process information that pending transaction data anti-do not repeated are inserted into cluster and rob in tran list, and this is prevented Repeat process node corresponding to process information this pending transaction data not to be processed.
Rob, due to cluster, anti-repetition having the have this unique index information corresponding in tran list and process record, if the most again This pending transaction data anti-is repeated process information be inserted into cluster and rob tran list then there will be and report an error, use this side Formula can avoid the problem that multiple process node processes same pending transaction data simultaneously.
Step 211, the process information that this pending transaction data anti-repeated are inserted into described cluster and rob in tran list, shape The anti-repetition becoming pending transaction data processes record.
Wherein, this anti-process record that repeats includes that anti-repetition processes record serial number in cluster robs tran list, waits to locate Reason banking system Apply Names corresponding to transaction data, the job identification of pending transaction data, pending transaction data Transaction journal number, anti-repeat process record cluster rob the time of setting up of tran list, anti-repeat process record the out-of-service time and Send the described anti-process node identification repeating process information.
Herein anti-repeats to process the record out-of-service time for safeguarding that cluster robs tran list, such as in current time beyond treating Process corresponding to transaction data is anti-when repeating to process the record out-of-service time, can anti-by corresponding to this pending transaction data Repeat to process record and rob deletion in tran list at described cluster.Certainly, complete at the process pending transaction data of node processing one After, the anti-process record that repeats corresponding to described pending transaction data can be robbed deletion in tran list at described cluster.And Anti-repeat process record the out-of-service time can avoid process node Single Point of Faliure and completing of pending transaction data cannot be fed back Information, causes anti-repetition to process the problem that record cannot be deleted.
Same pending transaction data can be carried out simultaneously at different disposal node by above-mentioned steps 208 to step 211 The anti-repetition that upper or different threads processes, i.e. prevents multiple process node or the multiple threads processing node from processing one simultaneously Transaction.
Step 212, in banking system data base inquire about tran list data, it is judged that whether tran list data have pending Transaction journal number corresponding to transaction data, and whether stateful transaction corresponding to transaction journal number be that transaction completes.
If have the transaction journal number corresponding to pending transaction data in described tran list data, and described transaction journal number Corresponding stateful transaction is that transaction completes, and performs step 213.If described tran list data have corresponding to pending transaction data Transaction journal number, but stateful transaction corresponding to this transaction journal number is that transaction is not fully complete, and performs subsequent step 214.
This pending transaction data is not processed by step 213, process node.
Same pending transaction data can be carried out on different disposal node by above-mentioned steps 212 to step 213 The anti-repetition of first post processing, i.e. prevents the transaction from processing node processing at one complete, processes node at certain again and carries out Process.
This pending transaction data is processed by step 214, process node.Afterwards, step 205 can be returned.
The processing method of banking system based on the poll tupe application that the embodiment of the present invention provides, it is possible to according to institute State cluster divisor remainder table, each node that processes in computer cluster processing system obtain each pending of banking system application Transaction data, thus realize bank based on poll tupe by the multiple process nodes in computer cluster processing system The equilibrium treatment of system application, it is to avoid currently employed one-point system runs the application of banking system of based on poll tupe, When computer single-point breaks down, banking system applies the problem that cannot continue to run with.Further, since computer cluster processes System includes multiple process node, and process performance is higher compared to one-point system, it is possible to process the more of current bank system Data.It addition, the embodiment of the present invention additionally provides for avoiding the anti-of the same pending transaction data of multiple process node processing Repeat treatment mechanism and each equilibrium treatment strategy processing node, further should to banking system based on poll tupe Processing method be optimized.
Corresponding to the embodiment of the method corresponding to above-mentioned Fig. 1 and Fig. 2, the embodiment of the present invention provides a kind of and processes based on poll The processing means of the banking system application of pattern, as it is shown on figure 3, include:
Cluster divisor remainder table signal generating unit 31, is used for generating cluster divisor remainder table.
Pending transaction data acquiring unit 32, for according to described cluster divisor remainder table, computer cluster processes system Each node that processes in system obtains each pending transaction data of banking system application.
Anti-repetition processes information acquisition unit 33, for obtaining the anti-of described pending transaction data from described process node Repeat process information.
Anti-repetition processes record generation unit 34, for the anti-process information that repeats of described pending transaction data being inserted Robbing in tran list to a cluster, the anti-repetition forming pending transaction data processes record.
Data processing unit 35, is used for processing node and processes pending transaction data.
Further, this anti-anti-process information that repeats repeating to process information acquisition unit 33 acquisition includes: pending friendship Easily banking system Apply Names, the transaction journal number of pending transaction data corresponding to data and send and described anti-repeat place The process node identification of reason information.
This anti-anti-process record that repeats repeating to process record generation unit 34 generation includes that anti-repetition processes record at collection Group robs banking system Apply Names corresponding to the serial number in tran list, pending transaction data, pending transaction data Job identification, the transaction journal number of pending transaction data, the anti-process record that repeats are robbed the time of setting up of tran list at cluster, are prevented Repeat process the record out-of-service time and send the described anti-process node identification repeating process information.
Concrete, as shown in Figure 4, this anti-repetition processes record generation unit 34, including:
Anti-repetition processes record judge module 341, judges collection for the unique index information according to pending transaction data Group robs anti-repetition the whether having this unique index information corresponding in tran list and processes record;Described unique index information includes: treat Process banking system Apply Names, the job identification of pending transaction data and the pending number of deals corresponding to transaction data According to transaction journal number.
Anti-repetition processes record processing module 342, has this unique index information pair for robbing at described cluster in tran list That answers is anti-when repeating to process record, described pending transaction data anti-is not repeated process information and is inserted into described cluster and robs friendship Easily in table;Described cluster rob in tran list corresponding anti-of not this unique index information repeat to process record time, treat described The anti-process information that repeats processing transaction data is inserted into described cluster and robs in tran list, forms the anti-heavy of pending transaction data Process record again.
Further, as shown in Figure 4, the processing means of banking system based on poll tupe application it is somebody's turn to do, it is also possible to Including:
Anti-repetition processes record deletion unit 37, after completing at the process pending transaction data of node processing one, and will The anti-process record that repeats corresponding to described pending transaction data robs deletion in tran list at described cluster.
Further, as shown in Figure 4, it is somebody's turn to do the processing means of banking system based on poll tupe application, also includes:
Anti-repetition processes record out-of-service time judging unit 38, is used for judging that whether current time is beyond pending number of deals The record out-of-service time is processed according to corresponding anti-repetition.
Anti-repetition processes record deletion unit 37, is additionally operable in current time beyond preventing corresponding to pending transaction data When repeating to process the record out-of-service time, the anti-process record that repeats corresponding to described pending transaction data is robbed at described cluster Tran list is deleted.
Further, as shown in Figure 4, it is somebody's turn to do the processing means of banking system based on poll tupe application, also includes:
Tran list data query unit 39, after obtaining a pending transaction data at process node, and is treating place Before reason transaction data formally processes, banking system data base inquires about tran list data;And have in described tran list data Transaction journal number corresponding to pending transaction data, and stateful transaction corresponding to described transaction journal number be transaction when completing, Process node described pending transaction data not to be processed.
Concrete, as shown in Figure 4, this cluster divisor remainder table signal generating unit 31, including:
Real-Time Cluster application data sheet generation module 311, for generating the Real-Time Cluster application data of banking system application Table;Described Real-Time Cluster application data sheet includes the application record on banking system application reason node throughout;Described application is remembered Record includes that banking system Apply Names, banking system apply that is run to process the process node identification of node, described application note Record the time of setting up in Real-Time Cluster application data sheet and application record out-of-service time.
Process node total number and determine module 312, for determining each department of banking according to described Real-Time Cluster application data sheet The process node total number that system application is run;Described process node total number is N.
Divisor remainder determines module 313, for the process node the processing node application of each banking system run Mark is arranged by a preset order, and determines the first remainder and the divisor of each process node according to described preset order;Its In, described divisor is N, and each the first remainder processing node is respectively 0 to N-1 according to described preset order.
Cluster divisor remainder table generation module 314, generates cluster for the first remainder according to each process node and divisor Divisor remainder table;Described cluster divisor remainder table includes each divisor remainder record processing node that banking system is applied;Described Divisor remainder record includes: banking system Apply Names, banking system application run process node process node identification, Divisor remainder record time of setting up in cluster divisor remainder table and each process the first remainder corresponding to node and divisor.
This pending transaction data acquiring unit 32, including:
Second remainder determines module 321, for the transaction journal of each pending transaction data according to banking system application Number determine the second remainder that each pending transaction data is corresponding with described divisor;Described second remainder is: M=SmodN;S is for treating Process the transaction journal number of transaction data;N is described divisor.
Data acquisition module 322, for the second remainder and the first remainder are mated, if the second remainder and the first remainder Equal, what the first remainder was corresponding processes the pending transaction data that node described second remainder of acquisition is corresponding.
Further, as shown in Figure 4, it is somebody's turn to do the processing means of banking system based on poll tupe application, also includes:
Application record out-of-service time judging unit 40, for judging that whether current time is beyond an application note applying record The record out-of-service time.
Unit 41 deleted in application record, for exceeding the application record out-of-service time of described application record in current time Time, described application record is deleted in described Real-Time Cluster application data sheet.
What deserves to be explained is, the process dress of banking system based on the poll tupe application that the embodiment of the present invention provides The specific implementation put may refer to the embodiment of the method that above-mentioned Fig. 1 with Fig. 2 is corresponding, and here is omitted.
The processing means of banking system based on the poll tupe application that the embodiment of the present invention provides, it is possible to according to institute State cluster divisor remainder table, each node that processes in computer cluster processing system obtain each pending of banking system application Transaction data, thus realize bank based on poll tupe by the multiple process nodes in computer cluster processing system The equilibrium treatment of system application, it is to avoid currently employed one-point system runs the application of banking system of based on poll tupe, When computer single-point breaks down, banking system applies the problem that cannot continue to run with.Further, since computer cluster processes System includes multiple process node, and process performance is higher compared to one-point system, it is possible to process the more of current bank system Data.It addition, the embodiment of the present invention additionally provides for avoiding the anti-of the same pending transaction data of multiple process node processing Repeat treatment mechanism and each equilibrium treatment strategy processing node, further should to banking system based on poll tupe Processing method be optimized.
Those skilled in the art are it should be appreciated that embodiments of the invention can be provided as method, system or computer program Product.Therefore, the reality in terms of the present invention can use complete hardware embodiment, complete software implementation or combine software and hardware Execute the form of example.And, the present invention can use at one or more computers wherein including computer usable program code The upper computer program product implemented of usable storage medium (including but not limited to disk memory, CD-ROM, optical memory etc.) The form of product.
The present invention is with reference to method, equipment (system) and the flow process of computer program according to embodiments of the present invention Figure and/or block diagram describe.It should be understood that can the most first-class by computer program instructions flowchart and/or block diagram Flow process in journey and/or square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided Instruction arrives the processor of general purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce A raw machine so that the instruction performed by the processor of computer or other programmable data processing device is produced for real The device of the function specified in one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame now.
These computer program instructions may be alternatively stored in and computer or other programmable data processing device can be guided with spy Determine in the computer-readable memory that mode works so that the instruction being stored in this computer-readable memory produces and includes referring to Make the manufacture of device, this command device realize at one flow process of flow chart or multiple flow process and/or one square frame of block diagram or The function specified in multiple square frames.
These computer program instructions also can be loaded in computer or other programmable data processing device so that at meter Perform sequence of operations step on calculation machine or other programmable devices to produce computer implemented process, thus at computer or The instruction performed on other programmable devices provides for realizing at one flow process of flow chart or multiple flow process and/or block diagram one The step of the function specified in individual square frame or multiple square frame.
The present invention applies specific embodiment principle and the embodiment of the present invention are set forth, above example Explanation be only intended to help to understand method and the core concept thereof of the present invention;Simultaneously for one of ordinary skill in the art, According to the thought of the present invention, the most all will change, in sum, in this specification Hold and should not be construed as limitation of the present invention.

Claims (16)

1. the processing method of banking system based on a poll tupe application, it is characterised in that including:
Generate cluster divisor remainder table;
According to described cluster divisor remainder table, each node that processes in computer cluster processing system obtains banking system application Each pending transaction data;
Obtain the anti-of described pending transaction data from described process node and repeat process information;
Described pending transaction data anti-is repeated process information be inserted into a cluster and rob in tran list, form pending transaction The anti-repetition of data processes record;
Process node pending transaction data is processed.
The processing method of banking system based on poll tupe the most according to claim 1 application, it is characterised in that The described anti-process information that repeats includes: the banking system Apply Names corresponding to pending transaction data, pending transaction data Transaction journal number and send the described anti-process node identification repeating process information;
The described anti-process record that repeats includes that anti-repetition processes record serial number in cluster robs tran list, pending number of deals According to corresponding banking system Apply Names, the job identification of pending transaction data, the transaction journal of pending transaction data Number, anti-repeat to process that record robs the time of setting up of tran list at cluster, anti-repetition processes the record out-of-service time and send described The anti-process node identification repeating process information.
The processing method of banking system based on poll tupe the most according to claim 2 application, it is characterised in that Described pending transaction data anti-is repeated process information be inserted into a cluster and rob in tran list, form pending transaction data Anti-repeat process record, including:
Whether the unique index information according to pending transaction data judges cluster to rob in tran list this unique index information pair The anti-repetition answered processes record;Described unique index information includes: the banking system application name corresponding to pending transaction data Title, the job identification of pending transaction data and the transaction journal number of pending transaction data;
If described cluster is robbed anti-repetition thing have this unique index information corresponding in tran list and is processed record, not by described pending friendship Easy data anti-is repeated process information and is inserted into described cluster and robs in tran list;
If described cluster is robbed anti-repetition that in tran list, this unique index information is not corresponding and is processed record, by described pending friendship Easy data anti-is repeated process information and is inserted into described cluster and robs in tran list, and anti-repetition theing form pending transaction data processes Record.
The processing method of banking system based on poll tupe the most according to claim 3 application, it is characterised in that Also include:
After the process pending transaction data of node processing one completes, the anti-repetition corresponding to described pending transaction data is located Reason record is robbed in tran list at described cluster and is deleted.
The processing method of banking system based on poll tupe the most according to claim 3 application, it is characterised in that Also include:
Judge whether current time processes the record out-of-service time beyond anti-repetition the corresponding to pending transaction data;
When current time repeats to process the record out-of-service time beyond anti-corresponding to pending transaction data, by described pending The anti-process record that repeats corresponding to transaction data robs deletion in tran list at described cluster.
The processing method of banking system based on poll tupe the most according to claim 1 application, it is characterised in that Also include:
After process node obtains a pending transaction data, and before pending transaction data is formally processed, in department of banking System data base inquires about tran list data;
If have the transaction journal number corresponding to pending transaction data in described tran list data, and described transaction journal correspondence Stateful transaction be that transaction completes, then process node described pending transaction data is not processed.
The processing method of banking system based on poll tupe the most according to claim 1 application, it is characterised in that Generate cluster divisor remainder table, including:
Generate the Real-Time Cluster application data sheet of banking system application;Described Real-Time Cluster application data sheet includes that banking system should With the application record managed throughout on node;Described application record includes that the application of banking system Apply Names, banking system is transported That goes processes processing node identification, the described application record time of setting up in Real-Time Cluster application data sheet and answering of node With the record out-of-service time;
Determine that each banking system applies the process node total number run according to described Real-Time Cluster application data sheet;Described place Reason node total number is N;
The process node identification processing node that the application of each banking system is run is arranged by a preset order, and root The first remainder and the divisor of each process node is determined according to described preset order;Wherein, described divisor is N, each processes the of node One remainder is respectively 0 to N-1 according to described preset order;
The first remainder and divisor according to each process node generate cluster divisor remainder table;Described cluster divisor remainder table includes silver Each divisor remainder record processing node of row system application;Described divisor remainder record includes: banking system Apply Names, silver What the application of row system was run processes process node identification, the foundation in cluster divisor remainder table of the divisor remainder record of node Time and each process the first remainder corresponding to node and divisor;
According to described cluster divisor remainder table, each node that processes in computer cluster processing system obtains banking system application Each pending transaction data, including:
Transaction journal number and the described divisor of each pending transaction data according to banking system application determine each pending transaction The second remainder that data are corresponding;Described second remainder is: M=SmodN;S is the transaction journal number of pending transaction data;N is Described divisor;
Second remainder and the first remainder are mated, if the second remainder and the first remainder are equal, the process that the first remainder is corresponding Node obtains the pending transaction data that described second remainder is corresponding.
The processing method of banking system based on poll tupe the most according to claim 7 application, it is characterised in that Also include:
Judge the application record out-of-service time whether current time records beyond an application;
When current time is beyond the application record out-of-service time of described application record, by described application record at described real-time collection Group's application data sheet is deleted.
9. the processing means of banking system based on a poll tupe application, it is characterised in that including:
Cluster divisor remainder table signal generating unit, is used for generating cluster divisor remainder table;
Pending transaction data acquiring unit, is used for according to described cluster divisor remainder table, in computer cluster processing system Each node that processes obtains each pending transaction data of banking system application;
Anti-repeat process information acquisition unit, for from described process node obtain described pending transaction data anti-repeat from Reason information;
Anti-repetition processes record generation unit, for the anti-process information that repeats of described pending transaction data is inserted into a collection Group robs in tran list, and anti-repetition theing form pending transaction data processes record;
Data processing unit, is used for processing node and processes pending transaction data.
The processing means of banking system based on poll tupe the most according to claim 9 application, its feature exists In, the described anti-anti-process information that repeats repeating to process information acquisition unit acquisition includes: corresponding to pending transaction data Banking system Apply Names, the transaction journal number of pending transaction data and send the described anti-process joint repeating process information Point identification;
The described anti-anti-process record that repeats repeating to process record generation unit generation includes that the anti-process record that repeats is robbed at cluster Serial number in tran list, the banking system Apply Names corresponding to pending transaction data, the operation of pending transaction data Mark, the transaction journal number of pending transaction data, the anti-process record that repeats rob the time of setting up of tran list, anti-repetition at cluster Process the record out-of-service time and send the described anti-process node identification repeating process information.
The processing means of 11. banking system based on poll tupe according to claim 10 application, its feature exists In, described anti-repetition processes record generation unit, including:
Anti-repetition processes record judge module, for judging that cluster robs transaction according to the unique index information of pending transaction data The anti-repetition whether having this unique index information corresponding in table processes record;Described unique index information includes: pending transaction Banking system Apply Names, the job identification of pending transaction data and the transaction of pending transaction data corresponding to data Serial number;
Anti-repetition processes record processing module, has corresponding anti-heavy of this unique index information for robbing at described cluster in tran list Multiple when processing record, described pending transaction data anti-is not repeated process information and is inserted into described cluster and robs in tran list; Described cluster rob in tran list corresponding anti-of not this unique index information repeat to process record time, by described pending transaction Data anti-is repeated process information and is inserted into described cluster and robs in tran list, and anti-repetition theing form pending transaction data processes note Record.
The processing means of 12. banking system based on poll tupe according to claim 11 application, its feature exists In, also include:
Anti-repetition processes record deletion unit, after completing at the process pending transaction data of node processing one, treats described Process the anti-process record that repeats corresponding to transaction data and rob deletion in tran list at described cluster.
The processing means of 13. banking system based on poll tupe according to claim 11 application, its feature exists In, also include:
Anti-repetition processes record out-of-service time judging unit, is used for judging that current time is the most right beyond pending transaction data institute The anti-repetition answered processes the record out-of-service time;
Anti-repetition processes record deletion unit, for processing beyond anti-repetition the corresponding to pending transaction data in current time During the record out-of-service time, the anti-process record that repeats corresponding to described pending transaction data is robbed in tran list at described cluster Delete.
The processing means of 14. banking system based on poll tupe according to claim 9 application, its feature exists In, also include:
Tran list data query unit, after obtaining a pending transaction data at process node, and to pending transaction Before data formally process, banking system data base inquires about tran list data;And have pending in described tran list data Transaction journal number corresponding to transaction data, and stateful transaction corresponding to described transaction journal number be transaction when completing, and processes joint Described pending transaction data is not processed by point.
The processing means of 15. banking system based on poll tupe according to claim 9 application, its feature exists In, described cluster divisor remainder table signal generating unit, including:
Real-Time Cluster application data sheet generation module, for generating the Real-Time Cluster application data sheet of banking system application;Described Real-Time Cluster application data sheet includes the application record on banking system application reason node throughout;Described application record includes silver What the application of row system Apply Names, banking system was run processes the process node identification of node, described application record in real time Time of setting up in cluster application tables of data and application record out-of-service time;
Process node total number and determine module, for determining that each banking system applies institute according to described Real-Time Cluster application data sheet The process node total number run;Described process node total number is N;
Divisor remainder determines module, for each banking system is applied the process node identification processing node run by one Preset order arranges, and determines the first remainder and the divisor of each process node according to described preset order;Wherein, described remove Number is N, and each the first remainder processing node is respectively 0 to N-1 according to described preset order;
Cluster divisor remainder table generation module, generates cluster divisor remainder for the first remainder according to each process node and divisor Table;Described cluster divisor remainder table includes each divisor remainder record processing node that banking system is applied;Described divisor remainder Record includes: what the application of banking system Apply Names, banking system was run processes the process node identification of node, described divisor Remainder record time of setting up in cluster divisor remainder table and each process the first remainder corresponding to node and divisor;
Described pending transaction data acquiring unit, including:
Second remainder determines module, for the transaction journal number of each pending transaction data according to banking system application and described Divisor determines the second remainder that each pending transaction data is corresponding;Described second remainder is: M=SmodN;S is pending transaction The transaction journal number of data;N is described divisor;
Data acquisition module, for the second remainder and the first remainder are mated, if the second remainder and the first remainder are equal, the What one remainder was corresponding processes the pending transaction data that node described second remainder of acquisition is corresponding.
The processing means of 16. banking system based on poll tupe according to claim 15 application, its feature exists In, also include:
Application record out-of-service time judging unit, for judging whether current time applies the application record of record to lose efficacy beyond one Time;
Unit deleted in application record, for when current time is beyond the application record out-of-service time of described application record, by institute State application record to delete in described Real-Time Cluster application data sheet.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110347513A (en) * 2019-07-15 2019-10-18 中国工商银行股份有限公司 Hot spot data lot size scheduling method and device

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102005094A (en) * 2009-09-01 2011-04-06 冲电气工业株式会社 Automatic transaction device and automatic transaction system
US20120008947A1 (en) * 2010-07-06 2012-01-12 Prasanna Adhikari All-optical data center network
CN102841906A (en) * 2011-06-24 2012-12-26 阿里巴巴集团控股有限公司 Integrated transaction processing system and transaction processing method
CN104021033A (en) * 2014-06-23 2014-09-03 中国银行股份有限公司 Method and system for hashing busy processing nodes
CN104219235A (en) * 2014-08-28 2014-12-17 福建新大陆软件工程有限公司 Distributed transaction requesting method and device
CN105608517A (en) * 2015-09-24 2016-05-25 北京华青融天技术有限责任公司 Service transaction performance management and visualization method based on flow and apparatus thereof

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102005094A (en) * 2009-09-01 2011-04-06 冲电气工业株式会社 Automatic transaction device and automatic transaction system
US20120008947A1 (en) * 2010-07-06 2012-01-12 Prasanna Adhikari All-optical data center network
CN102841906A (en) * 2011-06-24 2012-12-26 阿里巴巴集团控股有限公司 Integrated transaction processing system and transaction processing method
CN104021033A (en) * 2014-06-23 2014-09-03 中国银行股份有限公司 Method and system for hashing busy processing nodes
CN104219235A (en) * 2014-08-28 2014-12-17 福建新大陆软件工程有限公司 Distributed transaction requesting method and device
CN105608517A (en) * 2015-09-24 2016-05-25 北京华青融天技术有限责任公司 Service transaction performance management and visualization method based on flow and apparatus thereof

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
刘燕: "基于集群技术的银行交易中间件系统的研究与实现", 《中国优秀硕士学位论文全文数据库信息科技辑》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110347513A (en) * 2019-07-15 2019-10-18 中国工商银行股份有限公司 Hot spot data lot size scheduling method and device
CN110347513B (en) * 2019-07-15 2022-05-20 中国工商银行股份有限公司 Hot data batch scheduling method and device

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