CN105512237A - Data introduction system with complex structure - Google Patents
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Abstract
The invention relates to a data introduction system with a complex structure; the system employs an xlsx format file to store the data, and uses SAX to parse the xlsx file; a middle model is arranged between the dataflow and business VO so as to cache data; the system uses a segment parse algorithm, and employs multithread to process non-tree shape businesses. The middle model is formed between the dataflow and the business VO so as to improve parse efficiency and structure sharpness; the system uses multithread to process non-tree shape businesses, thus greatly improving processing efficiency.
Description
Technical field
The present invention relates in field of computer technology and for outside switching plane, data are imported, particularly relate to a kind of data importing system of labyrinth.
Background technology
Current data importing mode is divided into two kinds: the first is the data importing node under basic data, and the second is outside switching plane.Data importing and outside switching plane have respective advantage, also there are some drawbacks simultaneously.
The form that data importing adopts is csv form, and the characteristic of csv form is the content can only preserving a sheet, and namely content is only a two-dimensional space.Essentially, be exactly a text message, split with row and comma between data, user also can self-defined partitioning scheme, if clashed between partitioning scheme and data, backstage can use special marking to replace automatically, and reduction is returned when parsing.And our business datum, except simple single sheet format, also have boss's sheet format and boss grandson's sheet format, even as three large archives, relate to the situation of the multiple grandson's table of multiple sublist.So just cause when needs process complicated business time, the storage format of csv is not competent, and all data of business cannot all be included into by two-dimensional space.
In addition, the principle that data importing adopts loads interface by foreground, then obtain business datum from csv, Data Analysis become to meet the data structure of current business, be loaded into afterwards on interface.The method calling similar save and so in model again calls backstage stores service indirectly, and the data on interface are stored into database.Its essence is exactly a kind of robotization to manually increasing data one by one newly, simulates the manual input mode of user completely.Although writing of the action such as save the parsing of data like this, Batch Processing calls, sacrifices data processing speed.Find when PC carries out data importing test to 1000 personnel's archives, need to consume 8 minutes nearly.If the data of 100,000 grades, time loss dare not be imagined.The parsing work of data completes on the PC of user in addition, and the performance of client PC has a strong impact on boot speed.
Outside switching plane imports and carries out data storage with the form of xml.Xml is inherently convenient to the format language of machine recognition, but for readable non-constant artificial, especially the displayable label of the every a line of xml after format only has a pair, causes a simple file data just to need large number of rows content just can get across.The wall scroll data of such as personnel's archives are stored as xml needs 50 row, and 1000 data need 50000 row.For people, want that searching a certain bar data just becomes very difficult, want to edit individual data also very difficult.
In addition, when new business occurs, the xml form of this business needs new definition, and each business needs oneself an xml storage format, and this needs the manpower of at substantial equally, and artificial operation is easy to cause form to be made mistakes.
Summary of the invention
The object of the invention is to: for the above-mentioned technical matters existed in prior art, the log information that a kind of every platform machine collected by program in distributed system produces is provided, uses real-time distributed computing framework to carry out Distributed Calculation the daily record data gathered.According to the rank of log information, the details of daily record are sent to the user specified with mail, short message etc.User can be made to monitor the abnormity early warning system used in distributed environment with feedback system exception fast and efficiently.
The present invention is achieved by the following technical solutions:
A data importing system for labyrinth, comprises
Xlsx formatted file is adopted to store data;
SAX is adopted to resolve xlsx file;
A set of mid-module is built in order to data cached between data stream and business VO;
Adopt piecewise analytic algorithm;
Adopt multiple threads non-tree business.
Further, the mid-module built between described data stream and business VO comprises XLSXBigDataInitializer, XLSXConstructor, XLSXSingle and XLSXLine;
Described XLSXBigDataInitializer is in order to store all XLSXConstructor;
Described XLSXConstructor, in order to preserve list structure, shows data and stores the relation between boss's table;
Described XLSXSingle, by the boss's list structured data of wall scroll data parsed in XLSXConstructor, comes into contacts with for same BusinessEntity, creates business VO;
Described XLSXLine, for the corresponding relation of the field name and field value that store wall scroll data, is convenient to business VO assignment.
Described parsing of the data stream is that the step of business VO is as follows:
Step 101, loads data stream in XLSXBigDataInitializer;
Step 102, resolving the data stream loaded is XLSXConstructor;
Step 103, parsing XLSXConstructor is XLSXSingle;
Step 104, has judged whether that the XLSXConstructor of specified quantity resolves; If do not completed, returning step 103 continuation parsing XLSXConstructor is at random XLSXSingle; If completed, next step of namely entering;
Step 105, resolves to XLSXLine by XLSXSingle, is born interest as business VO by XLSXLine based on BusinessEntity.
Further, described piecewise analytic algorithm is that the data volume read from data stream by single limits, and makes internal memory maintain a fixing limit all the time, prevents from resolving the internal memory that mass data causes simultaneously and overflows.
Described employing multiple threads non-tree business step is as follows:
Step 201, parses XLSXConstructor;
Step 202, parses XLSXSingle from XLSXConstructor;
Step 203, puts into a queue by the XLSXSingle parsed;
Step 204, several threads obtain XLSXSingle simultaneously from queue;
Step 205, each thread is an XLSXSingle independently;
Step 206, puts into storehouse DB by after each XLSXSingle independent parsing.
Further, described number of threads is that program processes when importing data first according to the Thread Count that server performance is opened at every turn.
In sum, owing to have employed technique scheme, the invention has the beneficial effects as follows:
1, the present invention adopts xlsx formatted file to store data.The advantage of xlsx is, readable good, can edit line strong, break through the limitation that xls only supports 65535 row data, support large data, support that multipage label store, the inner xml form that adopts stores, and can pass through SAX technology fast resolving data.In addition, use relation between special row description list also very convenient.；
2, the present invention adopts the mode of SAX to resolve xlsx, and progressively load and progressively resolve, where text is read, and where is just resolved to, and the content read just is abandoned.And can ergodic data fast, in 100,000 data, random index data only need the time less than 0-2 second.Our data are all structural still more, all sequentially can load from top to bottom, more having superiority on consuming time when loading.Would not occur that the situation of " a stutter fat person " occurs like this;
3, the present invention builds a set of mid-module between data stream and business VO, will contribute to promoting analyzing efficiency, improves the sharpness of structure;
4, the present invention adopts piecewise analytic algorithm, and the data volume read from data stream by single limits, and makes internal memory maintain a fixing limit all the time, prevents from resolving the internal memory that mass data causes simultaneously and overflows.
5, the present invention adopts multiple threads non-tree business, and treatment effeciency is improved greatly.
Accompanying drawing explanation
Examples of the present invention will be described by way of reference to the accompanying drawings, wherein:
Fig. 1 is xlsx storage organization schematic diagram;
Fig. 2 is the xlsx storage organization for personnel's archives;
Fig. 3 is process of analysis block diagram of the present invention;
Fig. 4 is this EMS memory occupation surveillance map;
Fig. 5 is notebook data amount and EMS memory occupation graph of a relation;
Fig. 6 is multithreaded architecture schematic block diagram of the present invention.
Embodiment
All features disclosed in this instructions, or the step in disclosed all methods or process, except mutually exclusive feature and/or step, all can combine by any way.
Arbitrary feature disclosed in this instructions (comprising any accessory claim, summary and accompanying drawing), unless specifically stated otherwise, all can be replaced by other equivalences or the alternative features with similar object.That is, unless specifically stated otherwise, each feature is an example in a series of equivalence or similar characteristics.
Current outside switching plane imports, and only supports the data importing mode of boss's table, if want to support boss grandson's table, just must create an xml in addition and import separately.And the data importing system of a kind of labyrinth of the present invention can overcome this drawback, by the sheet of xlsx and the advantage of bivariate table, give full expression to the content of boss grandson.As shown in Figure 1, the structural support two schemes of importing, each square frame in scheme represents a tab in xlsx.Sortord of each table is that sublist is rear by the parent table that relies on front.
The first is auto-sequencing structure, and importing template storage organization can generate automatically.Each tab only stores the data of a table, and each table arranges successively according to the dependent Rule said before.
Another kind of scheme is self-defined ordering structure, and this structure needs user oneself to write, and may occur the situation of maloperation in the middle of practice, but from data tidiness and structurally more to preponderate.
Two kinds of structures all can obtain a certain amount of data according to algorithm when parsing from master meter, then scan other corresponding sublist and the corresponding with it data of grandson's table.
Promote the importing time of data, be exactly avoid unnecessary codes implement as far as possible, finishes the work with the most succinct code.Be optimized available data structure, this optimization is not only with reference to existing substantial optimization, therefrom finds best solution especially, writes out algorithm faster; Such as, current lead-in mode uses the mode of serial, so just seeks the solution walked abreast, makes full use of the potential of system.
A data importing system for labyrinth, comprises and adopts xlsx formatted file to store data;
SAX is adopted to resolve xlsx file; A set of mid-module is built in order to data cached between data stream and business VO; Adopt piecewise analytic algorithm; Adopt multiple threads non-tree business.
Concrete employing xlsx formatted file stores data.The advantage of xlsx is, readable good, can edit line strong, break through the limitation that xls only supports 65535 row data, support large data, support that multipage label store, the inner xml form that adopts stores, and can pass through SAX technology fast resolving data.In addition, use relation between special row description list also very convenient.Concrete table definition is illustrated with personnel's archives, as shown in Figure 2,
1), there is the row of data capable as table definition, as the 1st row and the 5th row in A row;
2) capable for table definition, what A row represented is table business name and the set showing field name, as A1 and A5;
3) with regard to A1 cell, "--> " as the separation showing business name and field name, left side is table business name, right side is all field names needing the field imported, and splits between field with ", ";
4) other Chinese being classified as field that table definition is capable describes, with field name one_to_one corresponding, as " line " correspondence " line number ", and " pk_org " correspondence " affiliated business unit " etc.;
5) for the sublist in business, as shown in the 5th row, for representing the dependence between boss's table, use the form of [sublist $ parent table] in the table business name part (--the content on the left of >) of the capable A row of table definition, as the addressvo $ psndoc of A5 cell.
Concrete employing SAX resolves xlsx file, has conventional traversal tab to the analysis mode of xlsx, traversal row, the POI form of traversal element; Adopt the SAX mode that event-driven (eventusermodel) is resolved in addition.The analysis mode of POI is directly perceived, simply, easy-to-use, good encapsulation, has the parsing of much increasing income to realize.But shortcoming is all data needs disposable loading, cause speed slow, cause internal memory to be taken in a large number; And adopt the mode of SAX to resolve, progressively load and progressively resolve, where text is read, and where is just resolved to, and the content read just is abandoned.And can ergodic data fast, in 100,000 data, random index data only need the time less than 0-2 second.Our data are all structural still more, all sequentially can load from top to bottom, more having superiority on consuming time when loading.Would not occur that the situation of " a stutter fat person " occurs like this.
As shown in Figure 3, the mid-module built between data stream and business VO comprises XLSXBigDataInitializer, XLSXConstructor, XLSXSingle and XLSXLine;
Described XLSXBigDataInitializer is in order to store all XLSXConstructor;
Described XLSXConstructor, in order to preserve list structure, shows data and stores the relation between boss's table;
Described XLSXSingle, by the boss's list structured data of wall scroll data parsed in XLSXConstructor, comes into contacts with for same BusinessEntity, creates business VO;
Described XLSXLine, for the corresponding relation of the field name and field value that store wall scroll data, is convenient to business VO assignment.
Described parsing of the data stream is that the step of business VO is as follows:
Step 101, loads data stream in XLSXBigDataInitializer;
Step 102, resolving the data stream loaded is XLSXConstructor;
Step 103, parsing XLSXConstructor is XLSXSingle;
Step 104, has judged whether that the XLSXConstructor of specified quantity resolves; If do not completed, returning step 103 continuation parsing XLSXConstructor is at random XLSXSingle; If completed, next step of namely entering;
Step 105, resolves to XLSXLine by XLSXSingle, is born interest as business VO by XLSXLine based on BusinessEntity.
Concrete, described piecewise analytic algorithm is that the data volume read from data stream by single limits, and makes internal memory maintain a fixing limit all the time, prevents from resolving the internal memory that mass data causes simultaneously and overflows.
As shown in Figure 4, when the list table Data Analysis to 100 row, to the measuring and calculating that EMS memory occupation carries out, initialize data is 110,000, and distribution heap memory is 500MB.By Data import in one-dimension array, in each element xlsx one between-line spacing "; " fill the algorithm of resolving xml, result display 200MB is resolved algorithm and takies (this partial memory cannot effectively be optimized) again, 300MB is for storing data, later stage has taken all to internal memory, and final data has loaded 114 seconds consuming time.
For ensureing that data can be preserved when occupying low internal memory as far as possible, the data volume of single buffer memory just must be reduced.Be multistage by Data Segmentation, parsing buffer memory is carried out in segmentation, has resolved one section and has reclaimed a part of internal memory, finally completes to leave in low to have resolved all data.As shown in Figure 5, be the graph of a relation of data volume and committed memory, save as 200MB in consuming when process 20000 data, the EMS memory occupation of front and back is also comparatively stable, meets the demand that committed memory is low simultaneously.
As shown in Figure 6, adopt multiple threads non-tree business, first by server performance open several thread time program processes importing task at every turn, start afterwards to resolve XLSXSingle from XLSXConstructor.After parsing XLSXSingle object one by one, be put into by object in an XLSXSingle queue, from this queue, obtain XLSXSingle independently carries out parsing in-stockroom operation to other several threads simultaneously.Its concrete steps are as follows:
Step 201, parses XLSXConstructor;
Step 202, parses XLSXSingle from XLSXConstructor;
Step 203, puts into a queue by the XLSXSingle parsed;
Step 204, several threads obtain XLSXSingle simultaneously from queue;
Step 205, each thread is an XLSXSingle independently;
Step 206, puts into storehouse DB by after each XLSXSingle independent parsing.
Multithreading and single-threaded preliminary performance comparison as shown in Table 1,
Form 1:
It is below the importing by personnel's archives, master data is imported, the data importing of the xlsx complex forms structure of outside switching plane and redesign carries out the contrast of 1000 data, from table 2(tri-kinds import contrast) can find, the importing of xlsx form satisfies the demands on EMS memory occupation, greatly reduces on time loss simultaneously.
Master data imports to be needed to build page elements on foreground, and also loading data is to interface in parsing, and request server preserves the operation of multiple links such as data, and therefore the time is the slowest, needs to consume 8 minutes nearly.
And the data importing device of outside switching plane and labyrinth all adopts the posteriori preservation service of server to carry out data storage.And both gaps are just that data store, in parsings, one adopts xml form in storage, another employing xlsx form, obvious xlsx form will more readability, and human-edited is more convenient.When resolving, one adopts DOM mode, and another adopts SAX mode.SAX can fast resolving data in conjunction with mid-module, and keep EMS memory occupation to maintain low line all the time.
Remove the time that data are preserved, the data importing device of labyrinth is greater than 30 seconds in time soon than outside switching plane.
The contrast that form 2: three kinds imports
Above-described specific embodiment, further describes object of the present invention, technical scheme and beneficial effect, and institute it should be understood that and the foregoing is only specific embodiments of the invention, is not limited to the present invention.The present invention expands to any new feature of disclosing in this manual or any combination newly, and the step of the arbitrary new method disclosed or process or any combination newly.
Claims (6)
1. a data importing system for labyrinth, is characterized in that: comprise
Xlsx formatted file is adopted to store data;
SAX is adopted to resolve xlsx file;
A set of mid-module is built in order to data cached between data stream and business VO;
Adopt piecewise analytic algorithm;
Adopt multiple threads non-tree business.
2. the data importing system of labyrinth according to claim 1, is characterized in that, the mid-module built between described data stream and business VO comprises XLSXBigDataInitializer, XLSXConstructor, XLSXSingle and XLSXLine;
Described XLSXBigDataInitializer is in order to store all XLSXConstructor;
Described XLSXConstructor, in order to preserve list structure, shows data and stores the relation between boss's table;
Described XLSXSingle, by the boss's list structured data of wall scroll data parsed in XLSXConstructor, comes into contacts with for same BusinessEntity, creates business VO;
Described XLSXLine, for the corresponding relation of the field name and field value that store wall scroll data, is convenient to business VO assignment.
3. the data importing system of labyrinth according to claim 2, is characterized in that, described parsing of the data stream is that the step of business VO is as follows:
Step 101, loads data stream in XLSXBigDataInitializer;
Step 102, resolving the data stream loaded is XLSXConstructor;
Step 103, parsing XLSXConstructor is XLSXSingle;
Step 104, has judged whether that the XLSXConstructor of specified quantity resolves; If do not completed, returning step 103 continuation parsing XLSXConstructor is at random XLSXSingle; If completed, next step of namely entering;
Step 105, resolves to XLSXLine by XLSXSingle, is born interest as business VO by XLSXLine based on BusinessEntity.
4. the data importing system of labyrinth according to claim 1, it is characterized in that, described piecewise analytic algorithm is that the data volume read from data stream by single limits, and makes internal memory maintain a fixing limit all the time, prevents from resolving the internal memory that mass data causes simultaneously and overflows.
5. the data importing system of labyrinth according to claim 1, is characterized in that, described employing multiple threads non-tree business step is as follows:
Step 201, parses XLSXConstructor;
Step 202, parses XLSXSingle from XLSXConstructor;
Step 203, puts into a queue by the XLSXSingle parsed;
Step 204, several threads obtain XLSXSingle simultaneously from queue;
Step 205, each thread is an XLSXSingle independently;
Step 206, puts into storehouse DB by after each XLSXSingle independent parsing.
6. the data importing system of labyrinth according to claim 5, is characterized in that, described number of threads is that program processes when importing data first according to the Thread Count that server performance is opened at every turn.
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| CN106599212A (en) * | 2016-12-16 | 2017-04-26 | 济南浪潮高新科技投资发展有限公司 | Method for importing data in batches through business interface |
| CN110275918A (en) * | 2019-06-17 | 2019-09-24 | 浙江百应科技有限公司 | A kind of million rank excel data quick and stable import systems |
| CN112925772A (en) * | 2019-12-06 | 2021-06-08 | 北京沃东天骏信息技术有限公司 | Data dynamic splitting method and device |
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