CN103020227B - Data processing method in computer equipment and system - Google Patents
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- CN103020227B CN103020227B CN201210540213.4A CN201210540213A CN103020227B CN 103020227 B CN103020227 B CN 103020227B CN 201210540213 A CN201210540213 A CN 201210540213A CN 103020227 B CN103020227 B CN 103020227B
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Abstract
The invention provides the data processing method in a kind of computer equipment and system, computer equipment stores many data, these data include the first kind and secondary sources, primary sources are pending acquired original data, described primary sources include the first data item, described secondary sources are the data for described primary sources are processed, described secondary sources include described first data item, this data processing method includes: generated multiple original document by primary sources, multiple intermediate file is generated by secondary sources, intermediate file is merged in original document, in file after each merging in units of wall scroll data, file declustering after merging is become multiple subfile, and subfile is integrated into destination file.By the invention it is possible to the data with same data item are associated by means of file operation and data are classified, solve data redundancy and the low problem of data-handling efficiency.
Description
Technical field
The present invention relates to Computer Applied Technology, particularly relate to the data processing method in a kind of computer equipment and system.
Background technology
Bank is in the process carrying out Business Processing, it is possible to create substantial amounts of data, and these data are generally the data in the data base being stored in computer equipment, such as user profile, accounts information, Account Transaction History etc., and every data is respectively provided with multiple data item.Such as, accounts information can include a plurality of account data, and every account data is respectively provided with: the data item such as account, account location, Account Type.These data are processed by the system for processing banking, in practical operation, needing such system can process multiple business demand, these business demands include: generate the form of data, carry out data acquisition and data mart modeling etc. during carrying out data syn-chronization with ancillary equipment (computer equipment of such as bank clerk, self-help service for user equipment etc.).Generally these data are divided into multiclass, are associated by a data item, it may be assumed that the two class data being associated have certain identical data item between different classes of data.Term " data base " is the description of a kind of visualization, and data are actually and are stored in storage medium.
Typically, cope with above-mentioned business demand to be used in the system processing kernel business of bank, utilize SQL (SQL, StructuredQueryLanguage) that data base is inquired about.But, this typical data processing method has some limitations:
First, multi-class data is associated by data item, when a certain class data are inquired about, generally first the every other class data being associated with this kind of data are all found out, then, the basis of all Various types of data checked out finds out the data of needs, so, other class data need not used for this Business Processing have been also carried out operation, therefore, cause substantial amounts of data redundancy；
Secondly, often carrying out above-mentioned association to comprising a large amount of (particularly more than one hundred million) data in practical operation, therefore, cause data-handling efficiency very low, data processing time presents the growth of geometry level along with the growth of data volume.
In actual banking operation, in order to ensure the purposes such as data syn-chronization with ancillary equipment, it is necessary to solve above-mentioned data redundancy and the low problem of data-handling efficiency.
Summary of the invention
In order to solve above-mentioned technical problem, the invention provides the data processing method in a kind of computer equipment and system.Technical scheme will be described in detail below.
The invention provides the data processing method in a kind of computer equipment, described computer equipment includes storage medium, described storage medium stores many data, every data forms by multiple data item, wherein, described data include the first kind and secondary sources, described primary sources are pending acquired original data, described primary sources include the first data item, described secondary sources are the data for described primary sources are processed, described secondary sources include described first data item, wherein, described data processing method includes:
Generated multiple original documents by described primary sources, described original document records a plurality of described primary sources；
Generated multiple intermediate files by described secondary sources, described intermediate file records a plurality of described secondary sources；
Being merged in each described original document by each described intermediate file, record many data in the file after each merging, every data is combined by the described primary sources and described secondary sources with identical described first data item；
In file after each merging in units of wall scroll data, using one or more data item of the data in the file after described merging as splitting item, and according to described fractionation item, the file declustering after described merging is become multiple subfile, each subfile is recorded wall scroll data described at least one；And
The described subfile with identical described fractionation item is integrated into destination file respectively.
Invention also provides the data handling system in a kind of computer equipment, described computer equipment includes storage medium, described storage medium stores many data, every data forms by multiple data item, wherein, described data include the first kind and secondary sources, described primary sources are pending acquired original data, described primary sources include the first data item, described secondary sources are the data for described primary sources are processed, described secondary sources include described first data item, wherein, described data handling system includes: Unload module, pretreatment module, concatenation module, split module and integrate module, wherein,
Described Unload module is used for: is generated multiple original documents by described primary sources, records a plurality of described primary sources in described original document；
Described pretreatment module is used for: is generated multiple intermediate files by described secondary sources, records a plurality of described secondary sources in described intermediate file；
Described concatenation module is used for: be merged in each described original document by each described intermediate file, recording many data in file after each merging, every data is combined by the described primary sources and described secondary sources with identical described first data item；
Described fractionation module is used for: in the file after each merging in units of wall scroll data, using one or more data item of the data in the file after described merging as splitting item, and according to described fractionation item, the file declustering after described merging is become multiple subfile, each subfile is recorded wall scroll data described at least one；And
Described integration module is used for: the described subfile with identical described fractionation item is integrated into destination file respectively.
Use the method and system of the present invention, it is possible to by means of file operation, the data with same data item are associated and data are classified.Therefore, data redundancy and the low problem of data-handling efficiency are solved.
Accompanying drawing explanation
Fig. 1 shows the flow chart of data processing method of the present invention；
Fig. 2 shows the schematic diagram of the embodiment of data processing method of the present invention；
Fig. 3 shows the schematic diagram of another embodiment of data processing method of the present invention；And
Fig. 4 shows the schematic diagram of the structure of data handling system of the present invention.
Detailed description of the invention
Below in conjunction with the drawings and specific embodiments, the present invention is described in further detail, but not as a limitation of the invention.
Computer equipment includes data base, can the data used in the operation of banking be stored in data base, every data forms by multiple data item, wherein, described data include the first kind and secondary sources, and primary sources are pending acquired original data, and primary sources include the first data item, secondary sources are the data for primary sources are processed, and secondary sources include the first data item.Such as, data base includes account data and customer data two class data, in account data, every data all includes account, account location and three kinds of data item of account type, and in customer data, every data all includes customer name, account, three kinds of data item of customer type；Account data and customer data all have account data item, say, that these two classes data are associated by account data item.Above-mentioned data are stored classifiedly is in order to avoid all data being stored in together thus causing that treatment effeciency is low.Fig. 1 shows the flow chart of data processing method of the present invention, as it is shown in figure 1, described data processing method comprises the steps:
Step 101, is generated multiple original documents by described primary sources；
Pending acquired original data are primary sources, and primary sources include the first data item, and secondary sources are the data for primary sources are processed, and secondary sources include the first data item.Part storage medium is divided into the multiple data fields taking different physical address, primary sources are respectively stored in each data field according to different subclass, all generate an original document for the primary sources of storage in each data field；
For benchmark, data are divided into subclass with one or more data item of data or some time point.Additionally, before step 101, it is possible to the historical information of storage in dump equipment, for instance, delete the data field, data file or other associated documents that generated last time；
Can dynamically generating unloading statement according to partitioned parameters, then computer equipment calls unloading statement to generate original document.Especially, the number of the original document generated may reach up to a hundred, and here, the number of original document can be determined by the data item or time point for data are divided into subclass；
Step 102, is generated multiple intermediate files by described secondary sources；
This step can be realized by two ways.In a kind of mode, part storage medium is divided into the multiple data fields taking different physical address；Secondary sources are respectively stored in each data field according to different subclass；An intermediate file is all generated for the secondary sources of storage in each data field；
Or, data except primary sources and secondary sources also include the 3rd class data, secondary sources include the second data item, 3rd class data are the data for secondary sources are processed, 3rd class data include the second data item, then second way cause secondary sources can be adopted to generate intermediate file:
Part storage medium is divided into the multiple data fields taking different physical address；Secondary sources are respectively stored in each data field according to different subclass；First temporary file is all generated for each data field；
Part storage medium is divided into the multiple data fields taking different physical address；3rd class data are respectively stored in each data field according to different subclass；Second temporary file is all generated for each data field；And
For the every data in the first temporary file, from the second temporary file, all find out a data, make this two data have the second identical data item, and the total data item except the second data item in this data found out is merged in that data corresponding in the first temporary file to obtain a described intermediate file；
Step 103, is merged into each intermediate file in each original document；
Wherein, each intermediate file is merged in each original document and specifically includes: for the every data in original document, from intermediate file, all find out a data, make this two data have the first identical data item, and the total data item except the first data item in this data found out is merged in that data corresponding in original document with obtain one merge after file；
Step 104, in file after each merging in units of wall scroll data, using one or more data item of the data in the file after merging as splitting item, and according to splitting item, the file declustering after merging is become multiple subfile, each subfile is recorded at least one wall scroll data；
Step 105, is integrated into destination file respectively by having the identical subfile splitting item.
Fig. 2 shows the schematic diagram of an embodiment of data processing method of the present invention, as in figure 2 it is shown, this data processing method comprises the steps:
Step 201, divides data field and by pending acquired original data conversion storage in passing through the data field that division obtains；
Wherein, pending acquired original data are the business datums (such as saving data, transfer data, debit data etc.) obtained from bank network Computer node, in bank network, for processing the computer equipment of account trading, according to the type of service (such as save, transfer accounts, debit etc.) of business datum, business datum to be divided into N(N be natural number) class, part storage medium is divided into N number of data field simultaneously, that is: data field 1, data field 2 ... data field N, then, by every class business datum unloading in a corresponding data field；
Step 202, all generates an original document for each data field, and these original documents are: original document 1, original document 2 ... original document N, it is possible to use the Data flow function of computer equipment realizes the operation of this step；
Step 203, is generated intermediate file by account data；
Wherein, account data includes province belonging to account, account and three data item of Account Type, limit Account Type herein and have three kinds, such as, Account Type includes personal account, business unit's account, finance unit account, method described in step 102 is generated account data file 1, account data file 2 and account data file 3 by account data, saving province and Account Type belonging to the account of data, account in these account data files, these three account data file is intermediate file；
Step 204, is merged into each intermediate file in each original document；
Wherein, business datum and account data are respectively provided with account data item, first, take out a data from original document 1；Then, it is sequentially carried out lookup from above three account data file, find out the data that the account data item of that data taken out in account data Xiang Yucong original document 1 is identical, here, it is defined when dividing business datum and account data so that such data can only be found out in account data；Finally, as its data item in that data being merged into from original document 1 using province belonging to the account of the data found out and Account Type data item to take out, thus obtaining new data, by that analogy；In this way, N number of new data file is generated, it may be assumed that merge file 1, merge file 2 ... merging file N；
So, the association of business datum and account data is achieved by file；
Step 205, in file after each merging in units of wall scroll data, using one or more data item of the data in the file after merging as splitting item, and according to splitting item, the file declustering after merging is become multiple subfile, each subfile is recorded at least one wall scroll data；
Wherein, province data item belonging to the account merged in file, in units of wall scroll data, these are merged file declustering and become multiple subfile, here, belonging to account, province includes: province 1 and province 2, so, each merging file is all split into two subfiles, thus obtaining subfile 11, subfile 12, subfile 21, subfile 22 ... subfile N1, subfile N2, amount to 2N subfile；
Step 206, it is integrated into destination file respectively by having the identical subfile splitting item；
Wherein, the data that subfile comprises have province data item, by in Data Integration identical for province data item a to destination file, it may be assumed that subfile 11 ... subfile N1 is integrated into destination file 1, and subfile 12 ... subfile N2 is integrated into destination file 2；Here, each destination file all contains the pieces of data integrated in front subfile；In this way, 2 destination files will be ultimately generated；
So, in the way of file, achieve the classification of data.
Fig. 3 shows the schematic diagram of another embodiment of data processing method of the present invention, as it is shown on figure 3, this data processing method comprises the steps:
Step 301, divides data field and by pending acquired original data conversion storage in passing through the data field that division obtains；
Wherein, business datum is pending acquired original data, business datum includes business and initiates ground data item, business datum is divided with initiating according to business, for instance, divide according to domestic transaction and off-shore transaction two types, business datum is divided into two classes, part storage medium is divided into data field 1 and data field 2 simultaneously, then, business datum is respectively stored in each data field by the output stream of computer equipment according to different classifications；
Step 302, all generates an original document for each data field；
Wherein, can with point sometime (such as, 0 o'clock sharp of on November 1st, 2012) for benchmark, in each data field, all the business datum before this time point being dumped in an original document, business datum after this point dumps in another original document；In this way, four original documents of generation are amounted to, it may be assumed that original document 1 ... original document 4；
Step 303, is generated temporary file respectively by account data and customer data, wherein, account data generates multiple account data files according to different Account Types, and is generated multiple customer data files by customer data according to different customer types；
Here, account data and customer data are respectively provided with account data item, account data can be divided into deposit card account data and credit card data, customer data is divided into individual client's data and corporate client data, thus the mode described in step 102 generates multiple data file, then amount to generate 4 data files, namely account data file 1, account data file 2, customer data file 1, customer data file 2；
Step 304, is merged into customer data file in account data file and forms intermediate file；
Here, in account data file, an account data illustrates, this account data includes account data item, a matched data is found out from each customer data file, the account data item of this matched data is identical with the account data item of this account data, data item except account data item in matched data is merged in this account data, in account data file, other data process equally, so, amended account data file is exactly intermediate file, it may be assumed that intermediate file 1 and intermediate file 2；
Step 305, is merged into each intermediate file in each original document；
Here, in original document, a data illustrates, this data comprises account data item, a matched data is found out from intermediate file, the account of this matched data is identical with the account of this data in original document, then, is merged in original document in this data by data item except account data item in matched data, revising original document in this way, amended original document is exactly the file after merging；
Step 306, in file after each merging in units of wall scroll data, using one or more data item of the data in the file after merging as splitting item, and according to splitting item, the file declustering after merging is become multiple subfile, each subfile is recorded at least one wall scroll data；
Wherein, not only carried out splitting but also splitting according to customer type according to Account Type, that is, data in file after above-mentioned each merging are all classified according to Account Type and customer type, each class data all dump in a subfile, for instance, in the file after merging, Account Type is savings account and data that customer type is personal user are classified as a class, finally, the number of the file after the number=merging of subfile × Account Type number × customer type number；
Step 307, is integrated into destination file respectively by having the identical subfile splitting item；
Wherein, those identical for Account Type in above-mentioned subfile data are integrated into a destination file；So, the number of destination file and the number of Account Type are identical.
Fig. 4 shows the schematic diagram of the structure of data handling system of the present invention, described computer equipment includes storage medium, described storage medium stores many data, every data forms by multiple data item, wherein, described data include the first kind and secondary sources, described primary sources are pending acquired original data, described primary sources include the first data item, described secondary sources are the data for described primary sources are processed, described secondary sources include described first data item, as shown in Figure 4, this data handling system includes: Unload module 401, pretreatment module 402, concatenation module 403, split module 404 and integrate module 405.
Described Unload module 401 is used for: is generated multiple original documents by described primary sources, records a plurality of described primary sources in described original document；
Described pretreatment module 402 is used for: is generated multiple intermediate files by described secondary sources, records a plurality of described secondary sources in described intermediate file；
Described concatenation module 403 is used for: be merged in each described original document by each described intermediate file, recording many data in file after each merging, every data is combined by the described primary sources and described secondary sources with identical described first data item；
Described fractionation module 404 is used for: in the file after each merging in units of wall scroll data, using one or more data item of the data in the file after described merging as splitting item, and according to described fractionation item, the file declustering after described merging is become multiple subfile, each subfile is recorded wall scroll data described at least one；And
Described integration module 405 is used for: the described subfile with identical described fractionation item is integrated into destination file respectively.
Wherein, described Unload module also includes the first document processing module, and described first document processing module is used for: described for part storage medium is divided into the multiple data fields taking different physical address；Described primary sources are respectively stored in each described data field according to different subclass；An original document is all generated for the described primary sources of storage in each data field.
Wherein, described pretreatment module includes the second document processing module, and described second document processing module is used for: described for part storage medium is divided into the multiple data fields taking different physical address；Described secondary sources are respectively stored in each described data field according to different subclass；An intermediate file is all generated for the described secondary sources of storage in each data field.
Wherein, data except described primary sources and described secondary sources also include the 3rd class data, described secondary sources include the second data item, described 3rd class data are the data for described secondary sources are processed, described 3rd class data include described second data item, and described second document processing module is used for:
Described for part storage medium is divided into the multiple data fields taking different physical address；Described secondary sources are respectively stored in each described data field according to different subclass；First temporary file is all generated for each data field；
Described for part storage medium is divided into the multiple data fields taking different physical address；Described 3rd class data are respectively stored in each described data field according to different subclass；Second temporary file is all generated for each data field；And
For the every data in described first temporary file, all from described second temporary file, find out a data, make this two data have identical described second data item, and the total data item except described second data item in this data found out is merged in that data corresponding in described first temporary file to obtain a described intermediate file.
Wherein, described concatenation module includes the 3rd document processing module, and described 3rd document processing module is used for:
Described original document is modified, for the every data in described original document, from described intermediate file, all find out a data, make this two data have identical described first data item, and the total data except described first data item in this data found out is merged in that data corresponding in described original document with obtain one merge after file.
In the present invention, multiple original document can be generated by primary sources, multiple intermediate file is generated by secondary sources, each described intermediate file is merged in each original document, then, in the file after each merging in units of wall scroll data, using one or more data item of the data in the file after merging as splitting item, and according to splitting item, the file declustering after merging is become multiple subfile, and be integrated into destination file respectively by having the identical subfile splitting item.
By the data processing method of the present invention and system, by data conversion storage to file and by the association of data and sort operation by the operation of file is realized, such that it is able to solve data redundancy and the low problem of data-handling efficiency.
Above example is only the exemplary embodiment of the present invention, is not used in the restriction present invention, and protection scope of the present invention is defined by the claims.The present invention in the essence of the present invention and protection domain, can be made various amendment or equivalent replacement by those skilled in the art, and this amendment or equivalent replacement also should be regarded as being within the scope of the present invention.
Claims (6)
1. the data processing method in a computer equipment, described computer equipment includes storage medium, described storage medium stores many data, every data forms by multiple data item, wherein, described data include the first kind and secondary sources, described primary sources are pending acquired original data, described primary sources include the first data item, described secondary sources are the data for described primary sources are processed, described secondary sources include described first data item, it is characterized in that, described data processing method includes:
Generated multiple original documents by described primary sources, described original document records a plurality of described primary sources；
Generated multiple intermediate files by described secondary sources, described intermediate file records a plurality of described secondary sources；
Being merged in each described original document by each described intermediate file, record many data in the file after each merging, every data is combined by the described primary sources and described secondary sources with identical described first data item；
In file after each merging in units of wall scroll data, using one or more data item of the data in the file after described merging as splitting item, and according to described fractionation item, the file declustering after described merging is become multiple subfile, each subfile is recorded wall scroll data described at least one；And
The described subfile with identical described fractionation item is integrated into destination file respectively；
Data except described primary sources and described secondary sources also include the 3rd class data, described secondary sources include the second data item, described 3rd class data are the data for described secondary sources are processed, described 3rd class data include described second data item, described secondary sources generate multiple intermediate files and include:
Described for part storage medium is divided into the multiple data fields taking different physical address；Described secondary sources are respectively stored in each described data field according to different subclass；First temporary file is all generated for each data field；
Described for part storage medium is divided into the multiple data fields taking different physical address；Described 3rd class data are respectively stored in each described data field according to different subclass；Second temporary file is all generated for each data field；And
For the every data in described first temporary file, all from described second temporary file, find out a data, make this two data have identical described second data item, and the total data item except described second data item in this data found out is merged in that data corresponding in described first temporary file to obtain a described intermediate file.
2. the data processing method in computer equipment according to claim 1, it is characterised in that generated multiple original documents by described primary sources and specifically include:
Described for part storage medium is divided into the multiple data fields taking different physical address；Described primary sources are respectively stored in each described data field according to different subclass；An original document is all generated for the described primary sources of storage in each data field.
3. data processing method according to claim 1, it is characterized in that, described intermediate file is merged into described original document include: for the every data in described original document, from described intermediate file, all find out a data, make this two data have identical described first data item, and the total data item except described first data item in this data found out is merged in that data corresponding in described original document with obtain one merge after file.
4. the data handling system in a computer equipment, described computer equipment includes storage medium, described storage medium stores many data, every data forms by multiple data item, wherein, described data include the first kind and secondary sources, described primary sources are pending acquired original data, described primary sources include the first data item, described secondary sources are the data for described primary sources are processed, described secondary sources include described first data item, it is characterized in that, described data handling system includes: Unload module, pretreatment module, concatenation module, split module and integrate module, wherein,
Described Unload module is used for: generates multiple original documents according to described primary sources, records a plurality of described primary sources in described original document；
Described pretreatment module is used for: generates multiple intermediate files according to described secondary sources, records a plurality of described secondary sources in described intermediate file；
Described concatenation module is used for: be merged in each described original document by each described intermediate file, recording many data in file after each merging, every data is combined by the described primary sources and described secondary sources with identical described first data item；
Described fractionation module is used for: in the file after each merging in units of wall scroll data, using one or more data item of the data in the file after described merging as splitting item, and according to described fractionation item, the file declustering after described merging is become multiple subfile, each subfile is recorded wall scroll data described at least one；And
Described integration module is used for: the described subfile with identical described fractionation item is integrated into destination file respectively；
Data except described primary sources and described secondary sources also include the 3rd class data, described secondary sources include the second data item, described 3rd class data are the data for described secondary sources are processed, described 3rd class data include described second data item, described pretreatment module includes the second document processing module, and described second document processing module is used for:
Described for part storage medium is divided into the multiple data fields taking different physical address；Described secondary sources are respectively stored in each described data field according to different subclass；First temporary file is all generated for each data field；
Described for part storage medium is divided into the multiple data fields taking different physical address；Described 3rd class data are respectively stored in each described data field according to different subclass；Second temporary file is all generated for each data field；And
For the every data in described first temporary file, all from described second temporary file, find out a data, make this two data have identical described second data item, and the total data item except described second data item in this data found out is merged in that data corresponding in described first temporary file to obtain a described intermediate file.
5. the data handling system in computer equipment according to claim 4, it is characterised in that described Unload module also includes the first document processing module,
Described first document processing module is used for: described for part storage medium is divided into the multiple data fields taking different physical address；Described primary sources are respectively stored in each described data field according to different subclass；An original document is all generated for the described primary sources of storage in each data field.
6. the data handling system in computer equipment according to claim 4, it is characterised in that described concatenation module includes the 3rd document processing module, and described 3rd document processing module is used for:
Described original document is modified, for the every data in described original document, from described intermediate file, all find out a data, make this two data have identical described first data item, and the total data except described first data item in this data found out is merged in that data corresponding in described original document with obtain one merge after file.
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| CN102609464A (en) * | 2012-01-16 | 2012-07-25 | 北京亿赞普网络技术有限公司 | Method and device for associative table query of MONGODB shards |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101566986A (en) * | 2008-04-21 | 2009-10-28 | 阿里巴巴集团控股有限公司 | Method and device for processing data in online business processing |
| WO2011095029A1 (en) * | 2010-02-03 | 2011-08-11 | 中兴通讯股份有限公司 | Efficient data processing method and device |
| CN102609464A (en) * | 2012-01-16 | 2012-07-25 | 北京亿赞普网络技术有限公司 | Method and device for associative table query of MONGODB shards |
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