CN112541327A - Data reading method and device, electronic equipment and storage medium - Google Patents
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Abstract
The invention provides a data reading method, a data reading device, electronic equipment and a storage medium, wherein the method comprises the following steps: constructing the attribute of the object model; establishing an incidence relation between the attribute and each column in the target table data; reading target table data from the target table file; and assigning the target table data to the attribute of the object model according to the incidence relation. By establishing the incidence relation between the attribute of the object model and the table data and assigning the attribute of the object model according to the incidence relation, only the incidence relation needs to be changed when the table data is changed, the whole set of codes does not need to be rewritten, and the reading efficiency of the table data is improved.
Description
Technical Field
The present invention relates to the field of information technologies, and in particular, to a data reading method and apparatus, an electronic device, and a storage medium.
Background
During the development of software, data provided by various external applications are used in the data reading process, which requires efficient reading of the data in these external applications. Excel (a piece of spreadsheet software written by Microsoft for computers using Windows and apple operating systems) is one of the most common file editing applications, from which software developers are required to read data frequently.
In the prior art, a third-party component NPOI (a program constructed on the POI 3.x version) is usually relied on to read table data of Excel, and then the read table data is traversed by writing a code, so as to store the table data in a memory of a business model object.
Although the method can solve the requirement of reading the form data from the Excel, when the business model is changed or new form data needs to be read, codes need to be rewritten or codes before pasting need to be modified, the operation steps are not only complicated, but also a large amount of development cost is consumed, and the form data reading efficiency of software development is reduced.
Disclosure of Invention
In view of the above, the present invention has been made to provide a data reading method and apparatus that overcomes or at least partially solves the above problems.
According to a first aspect of the present invention, there is provided a data reading method comprising:
constructing the attribute of the object model;
establishing an incidence relation between the attribute and each column in the target table data;
reading target table data from the target table file;
and assigning the target table data to the attribute of the object model according to the incidence relation.
Optionally, the step of assigning the target table data to the attribute of the object model according to the association relationship includes:
analyzing the target table data to obtain column data;
for each piece of column data, determining attributes according to the association relation and attributes corresponding to the column data;
assigning the column data to the attribute.
Optionally, the analyzing the target table data to obtain column data includes:
and analyzing the target table data by using a reflection technology to obtain column data.
Optionally, the reading the target table data from the target table file includes:
and reading the target table data to the memory from the target table file by taking the table page as a unit.
According to a second aspect of the present invention, there is provided a data reading apparatus comprising:
the first building module is used for building the attribute of the object model;
the second building module is used for building the incidence relation between the attribute and each column in the target table data;
the reading module is used for reading the target table data from the target table file;
and the assignment module is used for assigning the target table data to the attribute of the object model according to the incidence relation.
Optionally, the assignment module includes:
the analysis submodule is used for analyzing the target table data to obtain column data;
the determining submodule is used for determining attributes according to the incidence relation and the attributes corresponding to the column data for each piece of column data;
and the assignment submodule is used for assigning the column data to the attribute.
Optionally, the parsing sub-module includes:
and the analysis unit is used for analyzing the target table data by utilizing a reflection technology to obtain column data.
Optionally, the reading module includes:
and the reading submodule is used for reading the target table data from the target table file to the memory by taking the table page as a unit.
According to a third aspect of the invention, there is provided an electronic device comprising at least one processor, and at least one memory connected to the processor, a bus; the processor and the memory complete mutual communication through the bus; the processor is configured to call program instructions in the memory to perform the data reading method according to any one of the first aspect.
According to a fourth aspect of the present invention, there is provided a computer-readable storage medium on which a computer program is stored, the computer program, when executed by a processor, implementing the data reading method of any one of the first aspects.
The invention provides a data reading method, a data reading device, electronic equipment and a storage medium, wherein the method comprises the following steps: constructing the attribute of the object model; establishing an incidence relation between the attribute and each column in the target table data; reading target table data from the target table file; and assigning the target table data to the attribute of the object model according to the incidence relation. By establishing the incidence relation between the attribute of the object model and the table data and assigning the attribute of the object model according to the incidence relation, only the incidence relation needs to be changed when the table data is changed, the whole set of codes does not need to be rewritten, and the reading efficiency of the table data is improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 shows a flow chart of a data reading method of an embodiment of the invention;
fig. 2 is a flowchart illustrating a table data reading method in a data reading method according to an embodiment of the present invention;
FIG. 3 is a flow chart of a valuation method in a data reading method according to an embodiment of the present invention;
FIG. 4 is a flow chart illustrating a parsing method in a data reading method according to an embodiment of the present invention;
FIG. 5 is a block diagram showing a configuration of a data reading apparatus according to an embodiment of the present invention;
fig. 6 is a block diagram of an apparatus according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Example one
Referring to fig. 1, a flowchart of a data reading method according to an embodiment of the present invention is shown, which may specifically include the following steps:
In the embodiment of the present invention, the attribute refers to one or two code blocks, and identifies a get accessor and/or a set accessor, when the attribute is read, the code block of the get accessor is executed, and when a new value is assigned to the attribute, the code block of the set accessor is executed, and corresponding data can be accessed through the attribute. The object model is used for describing a static structure of the system, and comprises classes, objects, attributes, operations and relations among the classes, the objects, the attributes and the operations, and the object model can be assigned with values by defining the attributes.
In practical applications, the Attribute provided by microsoft.
For example, for a certain table data, the attributes can be constructed by the following code:
public class ExcelReadAttribute:Attribute
{
///<summary>
/< column name of File when File was loaded from Excel >
///</summary>
public string PropertyName{get；set；}
public ExcelReadAttribute(string propertyName)
{
PropertyName＝propertyName；}}
And 102, establishing an association relationship between the attributes and each column in the target table data.
In the embodiment of the present invention, after the attributes of the object model are constructed, each column in the list data needs to be marked by the constructed attributes, and a corresponding association relationship is established. It can be understood that, after the attribute corresponding to the object model is established, if the target table data to be read is changed, only the association relationship between the attribute and each column in the target table data needs to be re-established, that is, which column in the table data needs to be read for changing each attribute in the object model, and when each row in the table data is corresponding to the attribute default, the position of the value specifically corresponding to each attribute in the target table data can be determined. In this way, rewriting of all read codes during reading of table data for a certain object model can be avoided, and the efficiency of data reading is remarkably improved.
For example, for a certain list data containing the name, sex and age of the user, the association relationship of the columns can be established by the following codes:
class Person// user
{ [ excelRead ("name") ]
public string PersonName{get；set；}
[ excelRead ("sex") ]
public string PersonSex{get；set；}
[ ExcelRead ("age") ]
public string Age{get；set；}}
In an embodiment of the present invention, the target table data may be read from the target table file using NPOI. The NPOI is an open-source application program based on C # read-write form file, can directly perform read-write operation on the form file under the condition that an executive program of the form file is not installed, greatly simplifies the process of reading the form file, and improves the efficiency of reading and writing the form file.
Optionally, referring to fig. 2, step 103 is described on the basis of fig. 1, and includes:
and step 1031, reading the target table data from the target table file by taking the table page as a unit to the memory.
In the embodiment of the present invention, the NPOI may be used to read the contained content from the target table file, and the read content is loaded into the memory in the form of a table page, so as to obtain the target table data.
And 104, assigning the target table data to the attribute of the object model according to the incidence relation.
In the embodiment of the present invention, the association relationship may be in the form of an identifier, and the identifier identifies a user to describe the association relationship between the attribute and each column in the target table data. Because the target table data is loaded into the memory in a row form, and a plurality of rows of data form the target table data, the attribute default in the object model corresponds to each row of data in the memory. After the association relationship between each column and the attribute in the target list data is confirmed, the position of the corresponding value of each attribute in the target list data can be determined according to the row corresponding to the attribute, and therefore the corresponding value is assigned to the corresponding attribute in the object model.
Optionally, referring to fig. 3, the step 104 includes:
In the embodiment of the present invention, it can be determined according to actual needs whether the target table data needs to be parsed into JOSN (JavaScript Object notification, which is a lightweight data exchange format) data or XML (extensible markup language) data, and when the target table data is read from the memory, the target table data is adaptively converted into different data formats, so that flexibility of reading the table data is improved.
Optionally, referring to fig. 4, the step 1041 based on fig. 3 includes:
In the embodiment of the invention, the reflection technology refers to that in a running state, for any class, the attribute and the method of the class can be obtained, for any object, any method and attribute of the object can be called, and the called class can be dynamic, so that when the same target table data is changed, the reading code can still be reused, the whole set of code does not need to be reprogrammed, and the flexibility and the expansibility of reading the table data are improved.
In the embodiment of the invention, the line data are corresponding to the row data corresponding to the attribute according to the association relationship, and the specific position of the attribute corresponding to each line data is determined.
In the embodiment of the invention, the data in each row in each column is assigned to the corresponding attribute in the object model, so that the object model can read the list file. If the reconfiguration is needed, only the association relation between the attributes needs to be changed, and the whole set of code does not need to be rewritten.
The invention provides a data reading method, which comprises the following steps: constructing the attribute of the object model; establishing an incidence relation between the attribute and each column in the target table data; reading target table data from the target table file; and assigning the target table data to the attribute of the object model according to the incidence relation. By establishing the incidence relation between the attribute of the object model and the table data and assigning the attribute of the object model according to the incidence relation, only the incidence relation needs to be changed when the table data is changed, the whole set of codes does not need to be rewritten, and the reading efficiency of the table data is improved.
Example two
Referring to fig. 5, there is shown a data reading apparatus of an embodiment of the present invention, the apparatus including:
a first building module 201 for building attributes of the object model.
And the second building module 202 is used for building an association relationship between the attributes and each column in the target table data.
And the reading module 203 is used for reading the target table data from the target table file.
Optionally, the reading module 203 includes:
the reading sub-module 2031 is configured to read target table data from the target table file to the memory in units of table pages.
And the assignment module 204 is configured to assign the target table data to the attribute of the object model according to the association relationship.
Optionally, the assigning module 204 includes:
the parsing submodule 2041 is configured to parse the target table data to obtain column data.
Optionally, the parsing sub-module 2041 includes:
the analyzing unit 20411 is configured to analyze the target table data by using a reflection technique to obtain column data.
The determining submodule 2042 is configured to determine, for each piece of column data, an attribute according to the association relationship and the attribute corresponding to the column data.
An assignment submodule 2043 is configured to assign the column data to the attribute.
In a data reading apparatus provided in the present invention, the apparatus includes: the first building module is used for building the attribute of the object model; the second building module is used for building the incidence relation between the attribute and each column in the target table data; the reading module is used for reading the target table data from the target table file; and the assignment module is used for assigning the target table data to the attribute of the object model according to the incidence relation. By establishing the incidence relation between the attribute of the object model and the table data and assigning the attribute of the object model according to the incidence relation, only the incidence relation needs to be changed when the table data is changed, the whole set of codes does not need to be rewritten, and the reading efficiency of the table data is improved.
For the above terminal device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for relevant points, reference may be made to partial description of the method embodiment.
The data reading device comprises a processor and a memory, wherein the first building module, the second building module, the reading module, the assignment module, the analysis submodule, the determination submodule, the assignment submodule, the analysis unit and the reading submodule are all stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the problems that when a pull-down list displayed on the page of the existing browser is rolled, the data loading efficiency is low and the cache pressure of the browser is high are solved by adjusting kernel parameters.
An embodiment of the present invention provides a storage medium on which a program is stored, the program implementing the data reading method when executed by a processor.
The embodiment of the invention provides a processor, which is used for running a program, wherein the data reading method is executed when the program runs.
Referring to fig. 6, an embodiment of the present invention provides an apparatus, which includes at least one processor 301, and at least one memory 302 connected to the processor 301, a bus 303; wherein, the processor 301 and the memory 302 complete the communication with each other through the bus 303; the processor 301 is used for calling the program instructions in the memory 302 to execute the data reading method. The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device:
a method of data reading, the method comprising:
constructing the attribute of the object model;
establishing an incidence relation between the attribute and each column in the target table data;
reading target table data from the target table file;
and assigning the target table data to the attribute of the object model according to the incidence relation.
Optionally, the step of assigning the target table data to the attribute of the object model according to the association relationship includes:
analyzing the target table data to obtain column data;
for each piece of column data, determining attributes according to the association relation and attributes corresponding to the column data;
assigning the column data to the attribute.
Optionally, the analyzing the target table data to obtain column data includes:
and analyzing the target table data by using a reflection technology to obtain column data.
Optionally, the reading the target table data from the target table file includes:
and reading the target table data to the memory from the target table file by taking the table page as a unit.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a device includes one or more processors (CPUs), memory, and a bus. The device may also include input/output interfaces, network interfaces, and the like.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method of reading data, the method comprising:
constructing the attribute of the object model;
establishing an incidence relation between the attribute and each column in the target table data;
reading target table data from the target table file;
and assigning the target table data to the attribute of the object model according to the incidence relation.
2. The method according to claim 1, wherein the step of assigning the target table data to the attributes of the object model according to the association relationship comprises:
analyzing the target table data to obtain column data;
for each piece of column data, determining attributes according to the association relation and attributes corresponding to the column data;
assigning the column data to the attribute.
3. The method of claim 2, wherein the parsing the target table data to obtain column data comprises:
and analyzing the target table data by using a reflection technology to obtain column data.
4. The method according to any one of claims 1 to 3, wherein reading the target table data from the target table file comprises:
and reading the target table data to the memory from the target table file by taking the table page as a unit.
5. A data reading apparatus, characterized in that the apparatus comprises:
the first building module is used for building the attribute of the object model;
the second building module is used for building the incidence relation between the attribute and each column in the target table data;
the reading module is used for reading the target table data from the target table file;
and the assignment module is used for assigning the target table data to the attribute of the object model according to the incidence relation.
6. The apparatus of claim 5, wherein the assignment module comprises:
the analysis submodule is used for analyzing the target table data to obtain column data;
the determining submodule is used for determining attributes according to the incidence relation and the attributes corresponding to the column data for each piece of column data;
and the assignment submodule is used for assigning the column data to the attribute.
7. The apparatus of claim 6, wherein the parsing submodule comprises:
and the analysis unit is used for analyzing the target table data by utilizing a reflection technology to obtain column data.
8. The apparatus of any one of claims 5 to 7, wherein the reading module comprises:
and the reading submodule is used for reading the target table data from the target table file to the memory by taking the table page as a unit.
9. An electronic device, characterized in that the device comprises at least one processor, and at least one memory, a bus connected to the processor; the processor and the memory complete mutual communication through the bus; the processor is configured to call program instructions in the memory to perform the data reading method of any of claims 1 to 4.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the data reading method of any one of claims 1 to 4.
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