CN108255819A - A kind of value-added tax data integration method and system based on analysis tool SPARK - Google Patents
A kind of value-added tax data integration method and system based on analysis tool SPARK Download PDFInfo
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- CN108255819A CN108255819A CN201611224500.9A CN201611224500A CN108255819A CN 108255819 A CN108255819 A CN 108255819A CN 201611224500 A CN201611224500 A CN 201611224500A CN 108255819 A CN108255819 A CN 108255819A
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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Abstract
The present invention passes through a kind of value-added tax data integration method and system based on analysis tool SPARK, a kind of data model of common value-added tax analysis is provided for the tax authority, the corresponding data handling procedure of its business demand can be completed within tax bureau's stipulated time, the tax bureau is helped preferably to analyze value-added tax data, monitoring doubtful point taxpayer, be effective monitoring and analyzes illegal enterprise's tax evasion, the important means for ensureing tax income；Improve the working efficiency of tax authority's tax payment evaluation, Tax Check etc..The method includes：Using data extraction tool initial data is extracted from electronics bottom account library and three phase of Golden Taxes library；Supplementing Data is carried out to the initial data using SPARK and cleaning is handled, and demand schedule is formed, and carry out Data Integration and demand data model is stored in data warehouse to form demand data model according to value-added tax analysis demand；The demand data model in data warehouse is directed into Greenplum databases using data extraction tool and is stored for a long time.
Description
Technical field
The present invention relates to data processing field, and more particularly, to a kind of value-added tax based on analysis tool SPARK
Data integration method and system.
Background technology
With the popularization of " battalion changes increasing ", VAT payer and VAT invoice data have all welcome a huge increasing
Long, VAT payer has broken through ten million up to now, daily more than 500 ten thousand parts of the amount of making out an invoice, more than 3,500 hundred million yuan of the amount of money of making out an invoice, magnanimity
VAT invoice data need to analyze and process, and in face of such data volume, available data processing method and data model are not
The needs of the big province of some VAT invoices can be met, such as：The provinces such as Shandong, Jiangsu, Guangdong.
Spark is the universal parallel frame of class Hadoop MapReduce that UC Berkeley AMP lab are increased income,
Spark possesses advantage possessed by Hadoop MapReduce, but be different from MapReduce is that output result can among Job
To preserve in memory, so as to no longer need to read and write HDFS, therefore Spark can preferably be suitable for data mining and machine learning
Etc. the algorithm for the MapReduce for needing iteration.
The framework of Greenplum databases employs MPP (MPP).In mpp system, each SMP sections
Point can also run operating system, the database of oneself.In other words, the CPU in each node cannot access another node
Memory.Information exchange between node is realized by node interconnection network, this process is commonly referred to as data Redistribution
(Data Redistribution).It is significantly different with traditional SMP architecture, it is generally the case that mpp system is because will be in difference
Information is transmitted between processing unit, thus its efficiency than SMP almost, but this is nor absolute, because of MPP systems
System not shared resource, therefore for it, resource is more than SMP, when affairs to be treated reach certain scale, MPP's
Efficiency is better than SMP.Depending on seeing that call duration time occupies the ratio for calculating the time, if call duration time is relatively more, that MPP
System is not just dominant, if on the contrary, call duration time is fewer, that mpp system can give full play to the advantage of resource, reach
High efficiency.
Therefore a kind of data integration method is needed, the data processing needed for taxation informatization demand is completed, to help the tax bureau
Preferably analysis value-added tax data monitor taxpayer.
Invention content
To solve the above-mentioned problems, according to an aspect of the present invention, it proposes a kind of increasings based on analysis tool SPARK
It is worth tax data integration method, including：
Initial data is extracted, and will be described original from electronics bottom account library and three phase of Golden Taxes library using data extraction tool
Data, which are deposited, to be respectively stored in data warehouse electronics and supports in account library account memory block and three phase of Golden Taxes user storage area；
Supplementing Data is carried out to the initial data using SPARK and cleaning is handled, and analyzes demand according to value-added tax
Demand schedule is formed, demand schedule is subjected to Data Integration to form demand data model and demand data model is stored in data
In warehouse；And
Using data extraction tool by the demand data model in data warehouse be directed into Greenplum databases with into
The long-term storage of row.
Preferably, the extraction initial data is that the special ticket invoice information table of shipping, motor vehicle are obtained from the account library of electronics bottom
Invoice information table and VAT invoice information table；
Registration taxpayer information is obtained from three phase of Golden Taxes library, registration taxpayer Information expansion, assert taxpayer's qualification etc.
Taxpayer's information table；The industries tables such as industry, industry major class, industry detail；The invoices such as invoice ticket kind, invoice type, invoice sale
Correlation table；And code tax authority table；
Preferably, the Supplementing Data is：According to Lookup Field contingency table to there is field missing in initial data
Data carry out completion.
Preferably, the data scrubbing is to be carried out clearly to analyzing the unrelated field of demand in raw data table with value-added tax
Reason.
Preferably, the demand schedule includes：Invoice fact table, taxpayer's dimension table, tax authority's dimension table, industry dimension table, when
Between dimension table and regional dimension table.
According to another aspect of the invention, it is proposed that a kind of value-added tax data integrated system based on analysis tool SPARK,
Including：
Data extraction tool, for extracting initial data from electronics bottom account library and three phase of Golden Taxes library and by initial data
It preserves into data warehouse and demand model from data warehouse is extracted and is preserved into Greenplum databases；
Data warehouse, for storing initial data and demand data model；
Initial data is carried out Supplementing Data and cleaning is handled, and analyzes demand according to value-added tax by data processing unit
Demand schedule is formed, demand schedule is subjected to Data Integration to form demand data model；
Greenplum databases for long-term storage demand data model, and provide data query function.
Preferably, the initial data includes：The special ticket invoice information table of shipping, motor vehicle invoice information in the account library of electronics bottom
Table and VAT invoice information table；
Taxpayer's information is registered in three phase of Golden Taxes library, registration taxpayer Information expansion, assert the taxpayers such as taxpayer's qualification
Information table；The industries tables such as industry, industry major class, industry detail；The invoices correlation tables such as invoice ticket kind, invoice type, invoice sale；
And code tax authority table.
Preferably, the Supplementing Data is：To there are the data of field missing in initial data according to Lookup Field
Contingency table carries out completion.
Preferably, the data scrubbing is to be carried out clearly to analyzing the unrelated field of demand in raw data table with value-added tax
Reason.
Preferably, the demand schedule includes：Invoice fact table, taxpayer's dimension table, tax authority's dimension table, industry dimension table, when
Between dimension table and regional dimension table.
The present invention is the tax authority by a kind of value-added tax data integration method and system based on analysis tool SPARK
A kind of data model of common value-added tax analysis is provided, its business demand correspondence can be completed within tax bureau's stipulated time
Data handling procedure, can help the tax bureau preferably analyze value-added tax data, monitoring doubtful point taxpayer, be effective monitoring and
Analyze illegal enterprise's tax evasion, the important means for ensureing tax income；Improve tax authority's tax payment evaluation, Tax Check etc.
The working efficiency of aspect.
Description of the drawings
By reference to the following drawings, exemplary embodiments of the present invention can be more fully understood by：
Fig. 1 is the value-added tax data integration method flow chart according to the preferred embodiment of the present invention；And
Fig. 2 is the value-added tax data integrated system structure chart according to the preferred embodiment of the present invention.
Specific embodiment
Exemplary embodiments of the present invention are introduced referring now to attached drawing, however, the present invention can use many different shapes
Formula is implemented, and be not limited to the embodiment described herein, and to provide these embodiments be to disclose at large and fully
The present invention, and fully convey the scope of the present invention to person of ordinary skill in the field.Show for what is be illustrated in the accompanying drawings
Term in example property embodiment is not limitation of the invention.In the accompanying drawings, identical cells/elements use identical attached
Icon is remembered.
Unless otherwise indicated, term used herein has person of ordinary skill in the field (including scientific and technical terminology)
It is common to understand meaning.Further it will be understood that with the term that usually used dictionary limits, should be understood as and its
The linguistic context of related field has consistent meaning, and is not construed as Utopian or too formal meaning.
Fig. 1 is the value-added tax data integration method flow chart according to the preferred embodiment of the present invention.It is as shown in Figure 1, of the invention
Embodiment a kind of value-added tax data integration method based on analysis tool SPARK is provided, using data extraction tool from electricity
Initial data is extracted in sub- bottom account library and three phase of Golden Taxes library and is preserved into data warehouse；Using SPARK to the original of data warehouse
Beginning data carry out Supplementing Data and cleaning processing, and analyze the demand schedule progress Data Integration of demand formation according to value-added tax with shape
Into demand data model；Finally using data extraction tool by demand data model store into Greenplum databases with into
The long-term storage of row.Due to eliminating the field unrelated with demand during Data Integration, data model is formd according to demand,
It helps to complete the corresponding data handling procedure of its business demand in tax bureau's stipulated time, more fast and accurately analyzes value-added tax
Data facilitate follow-up work to carry out.
Method 100 is since step 101, in a step 101, using data extraction tool from electronics bottom account library and Golden Taxes three
Initial data is extracted in phase library, and the initial data deposited and is respectively stored in electronics in data warehouse and is stored to account library account
In area and three phase of Golden Taxes user storage area.Preferably, the data extraction tool is also known as sqoop tools, is mainly used in number
According to the extraction and transmission that data are carried out between warehouse and traditional database (such as mysql, postgresql, oracle), at this
In invention, electronics bottom account library and three phase of Golden Taxes library are oracle database.Preferably, the extraction initial data is from electronics
The special ticket invoice information table of shipping, motor vehicle invoice information table and VAT invoice information table are obtained in the account library of bottom；From Golden Taxes three
Registration taxpayer information is obtained in phase library, registration taxpayer Information expansion, assert taxpayers' information tables such as taxpayer's qualification；Row
The industries tables such as industry, industry major class, industry detail；The invoices correlation tables such as invoice ticket kind, invoice type, invoice sale；And code
Tax authority's table.Preferably, the data file of structuring can be mapped as a database table by data warehouse, be facilitated subsequent
Data processing and integration.
In a step 102, Supplementing Data is carried out to initial data using SPARK and cleaning is handled, and according to value-added tax
Analysis demand forms demand schedule.Preferably, the demand schedule includes：Invoice fact table, taxpayer's dimension table, tax authority's dimension table,
Industry dimension table, time dimension table and regional dimension table.Meanwhile when carrying out Supplementing Data to initial data, to existing in initial data
The required data of field missing problem carry out completion, and completion mode is Lookup Field contingency table or passes through customized rule
Carry out completion processing；It is that field unrelated with value-added tax demand analysis in initial data is carried out clearly that cleaning is carried out to initial data
Reason, due to the tax bureau year value-added tax data analyzed when have a demand, and in initial data not all field number
According to all to analysis demand it is helpful, so carrying out the cleaning of unrelated field, data are decreased while simplifying demand schedule
It calculates, further improves data processing speed.
In step 103, demand data model is formed, and demand data model is deposited after demand schedule being carried out Data Integration
Storage is in data warehouse.Preferably, the Data Integration of the demand schedule is that a variety of demand schedules are integrated into a demand data mould
Type is stored.
At step 104, the demand data model in data warehouse is directed into Greenplum using data extraction tool
To be stored for a long time in database.Since the framework of Greenplum databases employs MPP (MPP),
When needing to handle a large amount of value-added tax data, the operation treatment effeciency of Greenplum databases is than using oracle database
It is high.Meanwhile Greenplum provides the support of data query as database for front end applications.
The value-added tax data integration method 100 of the embodiment of the present invention analyzes the value-added tax that value-added tax analysis demand is integrated into
Data model, the corresponding data handling procedure of its business demand can be completed within tax bureau's stipulated time, tax can be helped
Business office preferably analyzes value-added tax data, monitoring doubtful point taxpayer, is effective monitoring and analyzes illegal enterprise's tax evasion, ensures
The important means of tax income；Improve the working efficiency of tax authority's tax payment evaluation, Tax Check etc..
Fig. 2 is the value-added tax data integrated system structure chart according to the preferred embodiment of the present invention.As shown in Fig. 2, value-added tax
Data integrated system 200 is by data extraction tool 201, data warehouse 202, data processing unit 203 and Greenplum data
Library forms, wherein, data extraction tool 201 is used to extract initial data from electronics bottom account library and three phase of Golden Taxes library and will be former
Beginning data preserve into data warehouse and demand model are extracted from data warehouse and is preserved to Greenplum databases
In.
Data warehouse 202 is used to store initial data and demand data model.
Initial data is carried out data processing unit 203 Supplementing Data and cleaning is handled, and is needed according to value-added tax analysis
It asks to form demand schedule, demand schedule is subjected to Data Integration to form demand data model.
Greenplum databases 204 are used for long-term storage demand data model, and provide data query function.
Preferably, initial data includes：In the account library of electronics bottom the special ticket invoice information table of shipping, motor vehicle invoice information table with
And VAT invoice information table；Taxpayer's information is registered in three phase of Golden Taxes library, registration taxpayer Information expansion, assert taxpayer's money
Taxpayers' information table such as lattice；The industries tables such as industry, industry major class, industry detail；Invoice ticket kind, invoice type, invoice sale etc.
Invoice correlation table；And code tax authority table.
Preferably, Supplementing Data is：The data that there are problems that field missing in initial data are associated with according to Lookup Field
Table carries out completion.
Preferably, data scrubbing is to clear up analyzing the unrelated field of demand in raw data table with value-added tax.
Preferably, demand schedule includes：Invoice fact table, taxpayer's dimension table, tax authority's dimension table, industry dimension table, time dimension
Table and regional dimension table.
The value-added tax data integrated system 200 of embodiment of the present invention and another embodiment of the invention value-added tax number
It is corresponding according to integration method 100, it is no longer repeated herein.
The present invention is described by reference to a small amount of embodiment.However, it is known in those skilled in the art, as
What subsidiary Patent right requirement was limited, in addition to the present invention other embodiments disclosed above are equally fallen the present invention's
In the range of.
Normally, all terms used in the claims are all solved according to them in the common meaning of technical field
It releases, unless in addition clearly being defined wherein.All references " one/described/be somebody's turn to do [device, component etc.] " are all opened ground
At least one of described device, component etc. example is construed to, unless otherwise expressly specified.Any method disclosed herein
Step need not all be run with disclosed accurate sequence, unless explicitly stated otherwise.
Claims (10)
1. a kind of value-added tax data integration method based on analysis tool SPARK, including：
Initial data is extracted from electronics bottom account library and three phase of Golden Taxes library using data extraction tool, and by the initial data
It deposits and is respectively stored in data warehouse electronics and supports in account library account memory block and three phase of Golden Taxes user storage area；
Supplementing Data is carried out to the initial data using SPARK and cleaning is handled, and is formed according to value-added tax analysis demand
Demand schedule is carried out Data Integration to form demand data model and demand data model is stored in data warehouse by demand schedule
In；And
The demand data model in data warehouse is directed into Greenplum databases to grow using data extraction tool
Phase stores.
2. according to the method described in claim 1, it is characterized in that, the extraction initial data is obtains from the account library of electronics bottom
The special ticket invoice information table of shipping, motor vehicle invoice information table and VAT invoice information table；
Registration taxpayer information is obtained from three phase of Golden Taxes library, registration taxpayer Information expansion, assert that taxpayer's qualification etc. is paid taxes
People's information table；The industries tables such as industry, industry major class, industry detail；The invoices such as invoice ticket kind, invoice type, invoice sale are related
Table；And code tax authority table.
3. according to the method described in claim 1, it is characterized in that, the Supplementing Data is：According to Lookup Field contingency table pair
The data that there are problems that field missing in initial data carry out completion.
4. according to the method described in claim 1, it is characterized in that, the data scrubbing be in raw data table with value-added tax
The unrelated field of analysis demand is cleared up.
5. according to the method described in claim 1, it is characterized in that, the demand schedule includes：Invoice fact table, taxpayer's dimension
Table, tax authority's dimension table, industry dimension table, time dimension table and regional dimension table.
6. a kind of value-added tax data integrated system based on analysis tool SPARK, including：
Data extraction tool, for being extracted initial data from electronics bottom account library and three phase of Golden Taxes library and preserving initial data
Into data warehouse and demand model from data warehouse is extracted and preserved into Greenplum databases；
Data warehouse, for storing initial data and demand data model；
Initial data is carried out Supplementing Data and cleaning is handled, and formed according to value-added tax analysis demand by data processing unit
Demand schedule is carried out Data Integration to form demand data model by demand schedule；
Greenplum databases for long-term storage demand data model, and provide data query function.
7. system according to claim 6, which is characterized in that the initial data includes：Shipping is special in the account library of electronics bottom
Ticket invoice information table, motor vehicle invoice information table and VAT invoice information table；
Taxpayer's information is registered in three phase of Golden Taxes library, registration taxpayer Information expansion, assert taxpayers' information such as taxpayer's qualification
Table；The industries tables such as industry, industry major class, industry detail；The invoices correlation tables such as invoice ticket kind, invoice type, invoice sale；And
Code tax authority table.
8. system according to claim 6, which is characterized in that the Supplementing Data is：To there are fields in initial data
The data of missing problem carry out completion according to Lookup Field contingency table.
9. system according to claim 6, which is characterized in that the data scrubbing be in raw data table with value-added tax
The unrelated field of analysis demand is cleared up.
10. system according to claim 6, which is characterized in that the demand schedule includes：Invoice fact table, taxpayer's dimension
Table, tax authority's dimension table, industry dimension table, time dimension table and regional dimension table.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201611224500.9A CN108255819A (en) | 2016-12-27 | 2016-12-27 | A kind of value-added tax data integration method and system based on analysis tool SPARK |
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| CN201611224500.9A CN108255819A (en) | 2016-12-27 | 2016-12-27 | A kind of value-added tax data integration method and system based on analysis tool SPARK |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109300023A (en) * | 2018-08-30 | 2019-02-01 | 广东源恒软件科技有限公司 | A kind of method and system that increment tax on land value big data is extracted and applied |
| CN110489438A (en) * | 2019-08-27 | 2019-11-22 | 奇安信科技集团股份有限公司 | A kind of customer action information processing method and device |
| CN111260452A (en) * | 2019-12-25 | 2020-06-09 | 航天信息股份有限公司 | Method and system for constructing tax big data model |
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| US20130262279A1 (en) * | 2012-03-28 | 2013-10-03 | Richard FINLEY | Tax analysis tool |
| CN104636337A (en) * | 2013-11-06 | 2015-05-20 | 航天信息股份有限公司 | Data cleaning storage method for added value tax |
| CN106168909A (en) * | 2016-06-30 | 2016-11-30 | 北京奇虎科技有限公司 | A kind for the treatment of method and apparatus of daily record |
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2016
- 2016-12-27 CN CN201611224500.9A patent/CN108255819A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130262279A1 (en) * | 2012-03-28 | 2013-10-03 | Richard FINLEY | Tax analysis tool |
| CN104636337A (en) * | 2013-11-06 | 2015-05-20 | 航天信息股份有限公司 | Data cleaning storage method for added value tax |
| CN106168909A (en) * | 2016-06-30 | 2016-11-30 | 北京奇虎科技有限公司 | A kind for the treatment of method and apparatus of daily record |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109300023A (en) * | 2018-08-30 | 2019-02-01 | 广东源恒软件科技有限公司 | A kind of method and system that increment tax on land value big data is extracted and applied |
| CN110489438A (en) * | 2019-08-27 | 2019-11-22 | 奇安信科技集团股份有限公司 | A kind of customer action information processing method and device |
| CN111260452A (en) * | 2019-12-25 | 2020-06-09 | 航天信息股份有限公司 | Method and system for constructing tax big data model |
| CN111260452B (en) * | 2019-12-25 | 2024-04-16 | 航天信息股份有限公司 | Method and system for constructing tax big data model |
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Application publication date: 20180706 |