CN104715076A - Multi-threaded data processing method and device - Google Patents
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Abstract
The embodiment of the invention discloses a multi-threaded data processing method and a multi-threaded data processing device, and aims at solving the technical problem of low data processing efficiency due to failure of support or insufficient support of multi-threaded access to files of the same database or the form of the same sheet in the current Access data processing, as well as greatly increasing the data processing speed. The method comprises the following steps: dividing the data of the sheet extracted from an Access database file into n groups; building n target database files corresponding to the sheet structure; correspondingly introducing the data of the sheet divided into n data groups into n target database files; building n threaded programs which respectively correspond to the n target database files; processing the data of the sheet through the n threaded programs.
Description
Technical field
The present invention relates to technical field of data processing, particularly relate to a kind of data processing of multithread and device.
Background technology
Database be organize according to data structure, the warehouse of store and management data, database to the inquiry of data, processing speed considerably beyond the processing speed of ordinary file.Access database is as light-weight database, and serverless backup end, uses in client during use and also do not need to install, can realize the access to Access.Microsoft Office Access is the relational database management system issued by Microsoft, and it combines Microsoft Jet Database Engine and graphic user interface two features, is one of system program of MicrosoftOffice.Microsoft Office Access is the data base management system (DBMS) that Microsoft combines the graphic user interface of database engine and SDK (Software Development Kit).It is a member of Microsoft OFFICE, and Access stores data in the database engine based on Access Jet with its form.It can also directly import or link data (these data are stored in other application programs and database).
Existing Sybase Oracle and SQL Server all needs database server support, client uses storehouse client, so when the program portable and deployment using Oracle and SQL Server all needs professional and technical personnel, often understand less operating personnel for technology to be just difficult to use, the standalone version database of this lightweight of current Access has just become and has well substituted.
But, above-mentioned mention Access data processing time, be do not support or support insufficient to the mode of the same library file of multi-thread access or same table, thus result in the low technical matters of data-handling efficiency.
Summary of the invention
Embodiments provide a kind of data processing of multithread and device, when solving current Access data processing, the mode of the same library file of multi-thread access or same table is not supported or supported insufficient, and the technical matters that the data-handling efficiency caused is low, and then greatly increase the speed of data processing.
A kind of data processing of multithread that the embodiment of the present invention provides, comprising:
The data of the table extracted from Access database file are divided into n group;
Set up n the target data library file corresponding with described list structure, described target data library file is empty file;
The described data correspondence being divided into the described table of n group data is imported in n described target data library file;
Set up and n described target data library file n bar multi-threaded program one to one;
By multi-threaded program described in n bar, data processing is carried out to described table.
Preferably, the record number of the table extracted from Access database file is divided into n group before also comprise:
Load described Access database file, and obtain the table name of all tables that described Access database file comprises.
Preferably, the data of the table extracted from Access database file are divided into n group specifically to comprise:
The data of all tables extracted from Access database file are divided into n group respectively.
Preferably, corresponding for the described data being divided into the described table of n group data importing in n described target data library file is specifically comprised:
The all described table of n group data is had to carry out circulation importing process to dividing equally, and whether the table that real-time judge is recycled to instantly imports successfully, if so, then carry out the importing process of next described table, the n group data one_to_one corresponding of each described table is imported in n described target data library file.
Preferably, carry out data processing by multi-threaded program described in n bar to described table specifically to comprise:
Respectively data processing is carried out to all described tables by multi-threaded program described in n bar;
N after data processing being completed described target data library file carries out delete processing.
A kind of multi-thread data treating apparatus that the embodiment of the present invention provides, comprising:
Grouped element, for being divided into n group by the data of the table extracted from Access database file;
First sets up unit, for setting up the n corresponding with described list structure target data library file;
Import unit, the described data correspondence for the described table by being divided into n group data imports in n described target data library file;
Second sets up unit, for setting up and n described target data library file n bar multi-threaded program one to one;
Data processing unit, for carrying out data processing by multi-threaded program described in n bar to described table.
Preferably, described multi-thread data treating apparatus also comprises:
Loading unit, for loading described Access database file, and obtains the table name of all tables that described Access database file comprises.
Preferably, grouped element, specifically for being divided into n group respectively by the data of all tables extracted from Access database file.
Preferably, import unit, specifically for having all described table of n group data to carry out circulation importing process to dividing equally, and whether the table that real-time judge is recycled to instantly imports successfully, if, then carry out the importing process of next described table, the n group data one_to_one corresponding of each described table is imported in n described target data library file.
Preferably, described data processing unit specifically comprises:
Process subelement, for carrying out data processing to all described tables respectively by multi-threaded program described in n bar;
Delete subelement, carry out delete processing for n described target data library file after data processing being completed.
As can be seen from the above technical solutions, the embodiment of the present invention has the following advantages:
A kind of data processing of multithread provided in the embodiment of the present invention and device, wherein, data processing method comprises: the data of the table extracted from Access database file are divided into n group; Set up n the target data library file corresponding with list structure; The data correspondence being divided into the table of n group data is imported in n target data library file; Set up and n target data library file n bar multi-threaded program one to one; Data processing is carried out by n bar multi-threaded program his-and-hers watches.In the present embodiment, by data in table are divided into groups, set up the target data library file corresponding with group number, and by target data library file corresponding for the data importing after grouping, set up the multi-threaded program corresponding with target data library file again, by multi-threaded program, data processing is carried out to the table in Access database file, just achieve and data processing is carried out to the table in Access database file by multiple multi-threaded program simultaneously, when solving current Access data processing, the mode of the same library file of multi-thread access or same table is not supported or supported insufficient, and the technical matters that the data-handling efficiency caused is low, and then greatly increase the speed of data processing.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
A kind of schematic flow sheet of an embodiment of data processing of multithread of Fig. 1 for providing in the embodiment of the present invention;
A kind of schematic flow sheet of another embodiment of data processing of multithread of Fig. 2 for providing in the embodiment of the present invention;
A kind of structural representation of an embodiment of multi-thread data treating apparatus of Fig. 3 for providing in the embodiment of the present invention;
A kind of structural representation of another embodiment of multi-thread data treating apparatus of Fig. 4 for providing in the embodiment of the present invention.
Embodiment
Embodiments provide a kind of data processing of multithread and device, when solving current Access data processing, the mode of the same library file of multi-thread access or same table is not supported or supported insufficient, and the technical matters that the data-handling efficiency caused is low, and then greatly increase the speed of data processing.
For making goal of the invention of the present invention, feature, advantage can be more obvious and understandable, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, the embodiments described below are only the present invention's part embodiments, and the embodiment of not all.Based on the embodiment in the present invention, those of ordinary skill in the art, not making other embodiments all obtained under creative work prerequisite, belong to the scope of protection of the invention.
Refer to Fig. 1, an embodiment of a kind of data processing of multithread provided in the embodiment of the present invention comprises:
101, the data of the table extracted from Access database file are divided into n group;
In the present embodiment, before needing to carry out data processing to the multiple tables under the file originally in the Access database of source, need the data of the table extracted from Access database file to be divided into n group.
It should be noted that, before the data of the table extracted from Access database file, need to connect Access data, the mode then connecting Access database is ADO (ActiveX Data Objects, ActiveX Data Objects) or ODBC (Open Database Connectivity, Open Database Connection).
102, n the target data library file corresponding with list structure is set up;
After the data of the table extracted from Access database file are divided into n group, need to set up n the target data library file corresponding with list structure, target data library file is empty file.
It should be noted that, the aforesaid n corresponding with a list structure target data library file, can be that table is identical with table with field structure, further, new destination database file, can be the SQL statement of newly-built Access database file, and be: CREATE DATABASE database name.
103, the data correspondence being divided into the table of n group data is imported in n target data library file;
After setting up n the target data library file corresponding with list structure, the data correspondence of the table by being divided into n group data is needed to import in n target data library file, the data one such as shown have 100 data, be divided into 5 groups, the 1 to 20 article of data are group 1, and the 21 to 40 article of data are group 2, article 41 to 60, data are group 3, article 61 to 80, data are group 4, and the 81 to 100 article of data are group 5, then need to set up 5 target data library files.
104, foundation and n target data library file n bar multi-threaded program one to one;
After the data correspondence of the table by being divided into n group data imports in n target data library file, need to set up and n target data library file n bar multi-threaded program one to one, such as aforesaid target data library file has 5, then multi-threaded program is 5.
105, data processing is carried out by n bar multi-threaded program his-and-hers watches.
After foundation and n target data library file one to one n bar multi-threaded program, need to carry out data processing by n bar multi-threaded program his-and-hers watches.
It should be noted that, aforesaid his-and-hers watches carry out the data processing method that data processing is known to the skilled person, or the mode of being carried out data processing by Access of routine, just repeat no more herein.
In the present embodiment, by data in table are divided into groups, set up the target data library file corresponding with group number, and by target data library file corresponding for the data importing after grouping, set up the multi-threaded program corresponding with target data library file again, by multi-threaded program, data processing is carried out to the table in Access database file, just achieve and data processing is carried out to the table in Access database file by multiple multi-threaded program simultaneously, when solving current Access data processing, the mode of the same library file of multi-thread access or same table is not supported or supported insufficient, and the technical matters that the data-handling efficiency caused is low, and then greatly increase the speed of data processing.
The above is described in detail the process of data processing of multithread, be described in detail to the data handling procedure of multiple table below, refer to Fig. 2, an embodiment of a kind of data processing of multithread provided in the embodiment of the present invention comprises:
201, load Access database file, and obtain the table name of all tables that Access database file comprises;
In the present embodiment, before needing that data processing is carried out to the multiple tables under the file originally in the Access database of source, need to load Access database file, and obtain the table name of all tables that Access database file comprises, such as loaded by PC end and comprise the source Access database file A of data, and obtain all table name T1 to Tn that A comprises.
It should be noted that, before the data of the table extracted from Access database file, need to connect Access data, the mode then connecting Access database is ADO (ActiveX Data Objects, ActiveX Data Objects) or ODBC (Open Database Connectivity, Open Database Connection).
202, the data of all tables extracted from Access database file are divided into n group respectively;
In the present embodiment, when loading Access database file, and after obtaining the table name of all tables that Access database file comprises, the data of all tables extracted from Access database file are needed to be divided into n group respectively, such as the data of table T1 are divided into n group, these data can be one have 100 data, be divided into 5 groups, article 1 to 20, data are group 1, article 21 to 40, data are group 2, article 41 to 60, data are group 3, article 61 to 80, data are group 4, article 81 to 100, data are group 5, corresponding earth's surface T2 to Tn is all divided into 5 groups, be understandable that, when data being divided into the setting of 5 groups, can be carry out unification process according to the quantity of table, such as table has T1 to T5, 5 tables, correspondingly be grouped into 5 groups.
203, n the target data library file corresponding with list structure is set up;
After the data of all tables extracted from Access database file are divided into n group respectively, need to set up n the target data library file corresponding with list structure, target data library file is empty file, such as set up target database empty file D1 to Dn, show identical with T1 with field structure.The data of the table of such as step 202 are divided into after 5 groups respectively, then need to set up 5 target data library files.
It should be noted that, the aforesaid n corresponding with a list structure target data library file, can be that table is identical with table with field structure, further, new destination database file, can be the SQL statement of newly-built Access database file, and be: CREATE DATABASE database name.
204, have all tables of n group data to carry out circulation importing process to dividing equally, and whether the table that real-time judge is recycled to instantly import successfully, if so, then performs step 205;
After setting up n the target data library file corresponding with list structure, need have all tables of n group data to carry out circulation importing process to dividing equally, and whether the table that real-time judge is recycled to instantly imports successfully, if so, then performs step 205.
It should be noted that, aforesaid have all tables of n group data to carry out circulation importing process to dividing equally, such as, first need his-and-hers watches T1 to carry out importing process, and whether real-time judge table T1 imports successfully, if so, then performs step 205, if not, then and end data process.
205, the importing process of next table is carried out;
When the table that real-time judge is recycled to instantly imports successfully, then carry out the importing process of next table.
Such as show T1 and carry out importing process, and after importing successfully, need the importing process carrying out showing T2, and judge whether table T2 imports successfully after importing, when from table T2 carry out importing whether successfully judge time, no matter whether, all carry out the importing process of next table, until all table all circulates one time.
Meanwhile, when a table T from a source Access database divides n group selection statistical conversion to the table T of another crowd of target Access database D 1 to Dn, often organizing data is M, and the SQL statement exporting to n-th group is: SELECT TOP M*INTO [; DATABASE=Dn.MDB] .T FROM [; DATABASE=A.MDB] .T WHERE T. major key NOT IN (SELECT TOP M*N T. major key FROM [; DATABASE=A.MDB] .T).Aforesaid SQL statement can set up table and field automatically, and imports to often organizing data target database D1 to Dn from source database.
206, foundation and n target data library file n bar multi-threaded program one to one;
After the data correspondence of the table by being divided into n group data imports in n target data library file, need to set up and n target data library file n bar multi-threaded program one to one, such as set up 1 to n bar multithread programs, the corresponding target data library file D1 to Dn of every bar thread, further, target data library file as the aforementioned has 5, then multi-threaded program is 5.
207, respectively data processing is carried out to all tables by n bar multi-threaded program;
After foundation and n target data library file one to one n bar multi-threaded program, need to carry out data processing to all tables respectively by n bar multi-threaded program, such as n multi-threaded program respectively his-and-hers watches T1 to Tn carry out data processing.
It should be noted that, aforesaid his-and-hers watches carry out the data processing method that data processing is known to the skilled person, or the mode of being carried out data processing by Access of routine, just repeat no more herein.
208, n target data library file after data processing being completed carries out delete processing.
After carrying out data processing to all tables respectively by n bar multi-threaded program, need n target data library file after data processing being completed to carry out delete processing, such as, delete target database D1 to Dn.
In the present embodiment, by data in table are divided into groups, set up the target data library file corresponding with group number, and by target data library file corresponding for the data importing after grouping, set up the multi-threaded program corresponding with target data library file again, by multi-threaded program, data processing is carried out to the table in Access database file, just achieve and data processing is carried out to the table in Access database file by multiple multi-threaded program simultaneously, when solving current Access data processing, the mode of the same library file of multi-thread access or same table is not supported or supported insufficient, and the technical matters that the data-handling efficiency caused is low, and then greatly increase the speed of data processing, and multiple table is all divided into groups, and processed respectively by n bar thread all the time, embody further, in an access file, no matter data volume is much, multithreading all can be used to process.
Refer to Fig. 3, an embodiment of a kind of multi-thread data treating apparatus provided in the embodiment of the present invention comprises:
Grouped element 301, for being divided into n group by the data of the table extracted from Access database file;
First sets up unit 302, for setting up the n corresponding with list structure target data library file;
Import unit 303, the data correspondence for the table by being divided into n group data imports in n target data library file;
Second sets up unit 304, for setting up and n target data library file n bar multi-threaded program one to one;
Data processing unit 305, for carrying out data processing by n bar multi-threaded program his-and-hers watches.
In the present embodiment, by grouped element 301, data in table are divided into groups, first sets up unit 302 sets up the target data library file corresponding with group number, and import unit 303 by target data library file corresponding for the data importing after grouping, second sets up unit 304 sets up the multi-threaded program corresponding with target data library file again, data processing unit 305 carries out data processing by multi-threaded program to the table in Access database file, just achieve and data processing is carried out to the table in Access database file by multiple multi-threaded program simultaneously, when solving current Access data processing, the mode of the same library file of multi-thread access or same table is not supported or supported insufficient, and the technical matters that the data-handling efficiency caused is low, and then greatly increase the speed of data processing.
The above is described in detail each unit of multi-thread data treating apparatus, will be described in detail below, and refer to Fig. 4 to extra cell, and another embodiment of a kind of multi-thread data treating apparatus provided in the embodiment of the present invention comprises:
Loading unit 401, for loading Access database file, and obtains the table name of all tables that Access database file comprises.
Grouped element 402, for the data of the table extracted from Access database file are divided into n group, grouped element 402, specifically for being divided into n group respectively by the data of all tables extracted from Access database file.
First sets up unit 403, for setting up the n corresponding with list structure target data library file;
Import unit 404, data correspondence for the table by being divided into n group data imports in n target data library file, import unit 404, specifically for having all tables of n group data to carry out circulation importing process to dividing equally, and whether the table that real-time judge is recycled to instantly imports successfully, if so, then carry out the importing process of next table, the n group data one_to_one corresponding of each table is imported in n target data library file.
Second sets up unit 405, for setting up and n target data library file n bar multi-threaded program one to one;
Data processing unit 406, for carrying out data processing by n bar multi-threaded program his-and-hers watches.
Data processing unit 406 can further include:
Process subelement 4061, for carrying out data processing to all tables respectively by n bar multi-threaded program;
Delete subelement 4062, carry out delete processing for n target data library file after data processing being completed.
In the present embodiment, by grouped element 402, data in table are divided into groups, first sets up unit 403 sets up the target data library file corresponding with group number, and import unit 404 by target data library file corresponding for the data importing after grouping, second sets up unit 405 sets up the multi-threaded program corresponding with target data library file again, data processing unit 406 carries out data processing by multi-threaded program to the table in Access database file, just achieve and data processing is carried out to the table in Access database file by multiple multi-threaded program simultaneously, when solving current Access data processing, the mode of the same library file of multi-thread access or same table is not supported or supported insufficient, and the technical matters that the data-handling efficiency caused is low, and then greatly increase the speed of data processing, and multiple table is all divided into groups, and processed respectively by n bar thread all the time, embody further, in an access file, no matter data volume is much, multithreading all can be used to process.
Those skilled in the art can be well understood to, and for convenience and simplicity of description, the system of foregoing description, the specific works process of device and unit, with reference to the corresponding process in preceding method embodiment, can not repeat them here.
In several embodiments that the application provides, should be understood that, disclosed system, apparatus and method, can realize by another way.Such as, device embodiment described above is only schematic, such as, the division of described unit, be only a kind of logic function to divide, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or another system can be integrated into, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, and the indirect coupling of device or unit or communication connection can be electrical, machinery or other form.
The described unit illustrated as separating component or can may not be and physically separates, and the parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of unit wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, also can be that the independent physics of unit exists, also can two or more unit in a unit integrated.Above-mentioned integrated unit both can adopt the form of hardware to realize, and the form of SFU software functional unit also can be adopted to realize.
If described integrated unit using the form of SFU software functional unit realize and as independently production marketing or use time, can be stored in a computer read/write memory medium.Based on such understanding, the part that technical scheme of the present invention contributes to prior art in essence in other words or all or part of of this technical scheme can embody with the form of software product, this computer software product is stored in a storage medium, comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform all or part of step of method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, portable hard drive, ROM (read-only memory) (ROM, Read-OnlyMemory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. various can be program code stored medium.
The above, above embodiment only in order to technical scheme of the present invention to be described, is not intended to limit; Although with reference to previous embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein portion of techniques feature; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (10)
1. a data processing of multithread, is characterized in that, comprising:
The data of the table extracted from Access database file are divided into n group;
Set up n the target data library file corresponding with described list structure, described target data library file is empty file;
The described data correspondence being divided into the described table of n group data is imported in n described target data library file;
Set up and n described target data library file n bar multi-threaded program one to one;
By multi-threaded program described in n bar, data processing is carried out to described table.
2. data processing of multithread according to claim 1, is characterized in that, also comprises before the record number of the table extracted from Access database file is divided into n group:
Load described Access database file, and obtain the table name of all tables that described Access database file comprises.
3. data processing of multithread according to claim 1 and 2, is characterized in that, the data of the table extracted from Access database file is divided into n group and specifically comprises:
The data of all tables extracted from Access database file are divided into n group respectively.
4. data processing of multithread according to claim 3, is characterized in that, the described data correspondence being divided into the described table of n group data is imported in n described target data library file and specifically comprises:
The all described table of n group data is had to carry out circulation importing process to dividing equally, and whether the table that real-time judge is recycled to instantly imports successfully, if so, then carry out the importing process of next described table, the n group data one_to_one corresponding of each described table is imported in n described target data library file.
5. data processing of multithread according to claim 3, is characterized in that, carries out data processing specifically comprise by multi-threaded program described in n bar to described table:
Respectively data processing is carried out to all described tables by multi-threaded program described in n bar;
N after data processing being completed described target data library file carries out delete processing.
6. a multi-thread data treating apparatus, is characterized in that, comprising:
Grouped element, for being divided into n group by the data of the table extracted from Access database file;
First sets up unit, for setting up the n corresponding with described list structure target data library file;
Import unit, the described data correspondence for the described table by being divided into n group data imports in n described target data library file;
Second sets up unit, for setting up and n described target data library file n bar multi-threaded program one to one;
Data processing unit, for carrying out data processing by multi-threaded program described in n bar to described table.
7. multi-thread data treating apparatus according to claim 6, is characterized in that, described multi-thread data treating apparatus also comprises:
Loading unit, for loading described Access database file, and obtains the table name of all tables that described Access database file comprises.
8. the multi-thread data treating apparatus according to claim 6 or 7, is characterized in that, grouped element, specifically for the data of all tables extracted from Access database file are divided into n group respectively.
9. multi-thread data treating apparatus according to claim 8, it is characterized in that, import unit, specifically for having all described table of n group data to carry out circulation importing process to dividing equally, and whether the table that real-time judge is recycled to instantly imports successfully, if so, then carry out the importing process of next described table, the n group data one_to_one corresponding of each described table is imported in n described target data library file.
10. the multi-thread data treating apparatus according to claim 6 or 7, is characterized in that, described data processing unit specifically comprises:
Process subelement, for carrying out data processing to all described tables respectively by multi-threaded program described in n bar;
Delete subelement, carry out delete processing for n described target data library file after data processing being completed.
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| CN109395380A (en) * | 2018-09-14 | 2019-03-01 | 北京智明星通科技股份有限公司 | Game data processing method and system, server and computer readable storage medium |
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| CN109033184A (en) * | 2018-06-27 | 2018-12-18 | 中国建设银行股份有限公司 | Data processing method and device |
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| CN109241012A (en) * | 2018-10-12 | 2019-01-18 | 平安科技（深圳）有限公司 | Sample input method, device, computer equipment and storage medium |
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