WO2020132890A1 - Procédé d'expansion dynamique d'attribut de service, appareil, dispositif informatique et support d'informations - Google Patents

Procédé d'expansion dynamique d'attribut de service, appareil, dispositif informatique et support d'informations Download PDF

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Publication number
WO2020132890A1
WO2020132890A1 PCT/CN2018/123611 CN2018123611W WO2020132890A1 WO 2020132890 A1 WO2020132890 A1 WO 2020132890A1 CN 2018123611 W CN2018123611 W CN 2018123611W WO 2020132890 A1 WO2020132890 A1 WO 2020132890A1
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Prior art keywords
business
data
attribute
business attribute
attributes
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PCT/CN2018/123611
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English (en)
Chinese (zh)
Inventor
熊友军
高振
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深圳市优必选科技有限公司
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Publication of WO2020132890A1 publication Critical patent/WO2020132890A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems

Definitions

  • the invention relates to the field of computer processing, in particular to a method, device, computer equipment and storage medium for dynamically expanding business attributes.
  • an embodiment of the present invention provides a method for dynamically expanding business attributes.
  • the method includes:
  • the business attributes and corresponding business attribute data are converted into columns in the form of rows and columns to be displayed in the data table.
  • an embodiment of the present invention provides a device for dynamically expanding service attributes.
  • the device includes:
  • the obtaining module is used to obtain the business attribute and business attribute data stored in the row storage mode corresponding to the business object;
  • the conversion module is used to convert the business attributes and the corresponding business attributes into the form of columns in the form of rows and columns for display in the data table.
  • an embodiment of the present invention provides a computer device, including a memory and a processor.
  • the memory stores a computer program.
  • the processor is caused to perform the following steps:
  • the business attributes and corresponding business attribute data are converted into columns in the form of rows and columns to be displayed in the data table.
  • an embodiment of the present invention provides a computer-readable storage medium that stores a computer program.
  • the processor is caused to perform the following steps:
  • the business attributes and corresponding business attribute data are converted into columns in the form of rows and columns to be displayed in the data table.
  • the above method, device, computer equipment and storage medium for dynamically expanding business attributes obtain the business attributes and business attribute data stored in the row storage mode corresponding to the business object, and then convert the business attributes and corresponding business attribute data by way of row-column conversion
  • the form converted to columns is displayed in the data table. That is, only the business attributes to be expanded need to be saved by row storage, and then the dynamic expansion of the business attributes can be realized by row-column conversion, without adding a new table structure, which is simple and convenient, greatly reduces development costs, and improves development effectiveness.
  • FIG. 1 is an application environment diagram of a method for dynamically expanding business attributes in an embodiment
  • FIG. 2 is a flowchart of a method for dynamically expanding business attributes in an embodiment
  • FIG. 3 is a schematic diagram showing a column form obtained by performing row-column conversion in an embodiment
  • FIG. 5 is a schematic diagram of an interface for configuring service attributes in an embodiment
  • FIG. 6 is a schematic diagram of an interface for entering business attribute data corresponding to a business attribute in an embodiment
  • FIG. 7 is a schematic diagram of a process of converting business attribute data displayed in column form in an embodiment
  • FIG. 8 is a schematic diagram of removing non-business attribute data and punctuation marks in an embodiment
  • FIG. 10 is a structural block diagram of an apparatus for dynamically expanding business attributes in an embodiment
  • FIG. 11 is a structural block diagram of a device for dynamically expanding business attributes in another embodiment
  • FIG. 12 is a structural block diagram of a device for dynamically expanding business attributes in another embodiment
  • FIG. 13 is an internal structure diagram of a computer device in an embodiment.
  • FIG. 1 is an application environment diagram of a method for dynamically expanding business attributes in an embodiment.
  • the business attribute dynamic expansion method is applied to a business attribute dynamic expansion system.
  • the business attribute dynamic expansion system includes a terminal 110 and a server 120.
  • the terminal 110 receives the business attribute corresponding to the business object through the configuration interface, establishes the correspondence between the business object and the business attribute, and receives the entered business attribute corresponding to each business attribute Data, save the business attribute and business attribute data in the form of row storage, and then upload it to the server 120.
  • the subsequent server 120 After receiving the business attribute acquisition request, the subsequent server 120 will obtain the business attribute corresponding to the business object saved in the row storage mode And the service attribute data is delivered to the terminal 110, and the terminal 110 converts the service attribute and the corresponding service attribute data into a column form by row-column conversion and displays it in the form of a column in the data table.
  • the above method for dynamically expanding business attributes may be directly applied to the terminal 110.
  • the terminal 110 receives the business attributes corresponding to the business objects through the configuration interface, establishes the correspondence between the business objects and the business attributes, and receives the Business attribute data corresponding to a business attribute, the business attribute and the business attribute data are stored in a row storage mode, and after receiving the business attribute acquisition request, the business attribute and business attribute data stored in the row storage mode corresponding to the business object are obtained , Convert business attributes and corresponding business attribute data into columns in the form of rows and columns, and display them in columns in the data table.
  • the method for dynamically expanding business attributes is applied to computer equipment, and specifically includes the following steps:
  • Step 202 Obtain the business attribute and business attribute data stored in the row storage mode corresponding to the business object.
  • the business object refers to the business to be extended business attributes. For example, assuming that there are three services A, B, and C that need to be extended for business attributes, then A, B, and C are business objects.
  • Metadata refers to data that describes data, that is, metadata objects are introduced to describe business objects Relationship with business attributes.
  • the corresponding business attribute and the business attribute data corresponding to the business attribute are obtained through the association relationship between the business object and the business attribute recorded in the metadata object.
  • the business attribute refers to several attributes included in the business. The attribute is generally represented by a "field". For example, if the attribute includes the "name” attribute, the "name” field is used to indicate the attribute.
  • the corresponding business attribute data is The specific data corresponding to the "name", such as "Zhang San”.
  • the embodiment of the present application proposes a new method for dynamically expanding attributes.
  • the business attributes to be extended by the business object and the corresponding business attribute data are stored in a row storage mode, because the number of row records is not The limited number can theoretically be expanded indefinitely, so business attributes and business attribute data can be stored in a row storage mode.
  • the settings of business attributes and business attribute data can be customized by users according to their needs through the configuration interface.
  • step 204 the business attributes and the corresponding business attribute data are converted into columns in the form of rows and columns to be displayed in the data table.
  • the business attributes and corresponding business attributes in order to display the business attributes and corresponding business attribute data in the form of columns, it is necessary to convert the business attributes and the corresponding business attributes into the form of columns in the form of columns and display them in the data table, thereby achieving dynamic expansion
  • the purpose of business attributes As shown in FIG. 3, in one embodiment, the business attributes and business attribute data stored in the row storage mode are converted into rows and columns to obtain a schematic diagram of the business attributes and business attribute data displayed in the form of columns.
  • the above method for dynamically expanding business attributes does not need to add or change the table structure, and the dynamic expansion of business attributes can be achieved through row-column conversion, which not only has low development cost but also high efficiency.
  • the business attribute can be dynamically added, deleted, modified and checked, with high flexibility.
  • the above business attribute dynamic expansion method obtains the business attribute and business attribute data stored in the row storage mode corresponding to the business object, and then converts the business attribute and the corresponding business attribute data into the form of a column in the data table by means of row-column conversion To display. That is, only the business attributes to be expanded need to be saved by row storage, and then the dynamic expansion of the business attributes can be realized by row-column conversion, without adding a new table structure, which is simple and convenient, greatly reduces development costs, and improves development effectiveness.
  • the method before acquiring the business attributes and business attribute data stored in the row storage mode corresponding to the business object, the method further includes:
  • Step 206 Receive the business attribute corresponding to the business object through the configuration interface, and establish the correspondence between the business object and the business attribute.
  • a corresponding configuration interface is developed, through which the user-configured business attributes corresponding to the business object are received, and the received business attributes are matched with the corresponding The corresponding business objects are stored accordingly.
  • the storage method can be through the introduction of metadata objects, that is, the relationship between business objects and business attributes is described through metadata objects.
  • FIG. 5 it is a schematic diagram of an interface for setting business attributes on a configuration interface in one embodiment. Through the configuration interface, a user can freely configure business attributes and business attribute data corresponding to business objects.
  • Step 208 Receive the entered business attribute data corresponding to each business attribute.
  • the business attribute data refers to the specific content entered corresponding to the business attribute.
  • the corresponding business attribute data is the specific name, such as "Zhang San”, “Li Si”, “Wang Wu” and so on.
  • the entry method may be scanning entry, manual entry, or loading entry.
  • FIG. 6 it is a schematic diagram of an interface for entering business attribute data corresponding to a business attribute in an embodiment.
  • step 210 the business attributes and business attribute data are stored in a row storage manner.
  • business attributes and business attribute data can be saved in the manner of row storage. Subsequent row and column conversions can be used to display the corresponding business attributes and business attribute data in the form of columns in the data table.
  • the user only needs to simply configure the corresponding business attributes and business attribute data, and does not need professional development technology, which greatly reduces the development threshold.
  • each piece of data in the business attribute data corresponds to a data identifier and an attribute identifier; the business attributes and the corresponding business attribute data are converted into columns in the form of rows and columns to be displayed in the data table, including : Obtain the data identifier and corresponding attribute identifier corresponding to each piece of data in the business attribute data; according to the data identifier and attribute identifier, the business attribute and the corresponding business attribute data are converted into the form of columns in the form of rows by column conversion. Show.
  • each piece of data in the business attribute data corresponds to a data identifier.
  • the data identifier is used to uniquely identify the attribution of the data. For example, if the data about personnel is entered, the unique number corresponding to each personnel is the corresponding data Logo.
  • the data in the same row in the data table corresponds to the same data identifier. For example, if it is personnel statistical information, including name, gender, and age, assuming that the corresponding business attribute data in the same row are: Zhang San, M, and 24, then these three business attribute data correspond to the same data identifier, indicating the same Personal data.
  • the attribute identifier is used to uniquely identify an attribute, and the data in the same column in the data table corresponds to the same attribute identifier.
  • the business data corresponding to the "name" column corresponds to the business identifier of the name.
  • the same data identification is converted into the same row, and the same attribute identification is converted into the same column, so that the business attributes and the business attribute data are displayed in the form of columns in the data table. That is, according to the data identification and attribute identification, the position of each piece of data in the business attribute data can be determined, so that it is regularly arranged in the data table, each row in the data table corresponds to the data of the same data identification, and each column corresponds Is the data identified by the same attribute.
  • the business attributes and the corresponding business attribute data are converted into columns and displayed in the data table by means of row and column conversion, including: obtaining business attribute data to be converted into columns, Convert business attribute data into a column by way of row and column conversion, one column contains business attribute data corresponding to multiple business attributes; obtain the data identifier corresponding to each piece of data in the business attribute data, and identify the corresponding business with the same data according to the data identifier
  • the attribute data is converted to the same row in a column; the business attribute data corresponding to the business attribute of the column is retained in the same row according to the attribute identifier of the business attribute.
  • the business attribute data to be converted into columns convert all the business data into one column through row-column conversion, and then convert the business attribute data identified by the same data into the same row of the column according to the data identifier, and then correspond according to the column
  • the attribute identifier of the business attribute of the keeps the business attribute data corresponding to the business attribute identifier of the column in the same row.
  • first convert to a column then convert the business attribute data identified by the same data to the same row, and finally only retain the business attribute data corresponding to the business attribute.
  • the business attribute data corresponding to each column of business attributes can be obtained through the processing after the row-column conversion.
  • retaining the business attribute data corresponding to the business attributes of the column in the same row according to the attribute identifier of the business attribute includes: removing the business attribute data corresponding to the non-business attribute in the same row according to the attribute identifier of the business attribute, The result after the removal is obtained; when the result after the removal contains punctuation marks, the punctuation marks are removed to obtain only the business attribute data corresponding to the business attributes.
  • a method for dynamically expanding business attributes is proposed, which specifically includes the following steps:
  • Step 902 Obtain the inherent business attribute corresponding to the business object and the corresponding inherent business attribute data.
  • the business attribute dynamic expansion method can be implemented based on the previously designed data table.
  • the business attributes and business attribute data that can be set in the previous data table are called “inherent business attributes” and “inherent business attribute data” ".
  • Step 904 Obtain the business attributes and business attribute data stored in the row storage mode corresponding to the business object.
  • the business attribute and the business attribute that need to be expanded are saved in a row storage manner.
  • Step 906 Determine the business attribute data structure corresponding to the business object according to the inherent business attributes and the business attributes stored in the row storage mode.
  • the business attribute data structure refers to the structural characteristics formed by all business attributes corresponding to the business object.
  • the business attribute data structure includes all business attributes and the position of each business attribute in the table.
  • both the inherent business attributes and the dynamically expanded business attributes stored in the row storage mode need to be obtained.
  • the corresponding The business attribute data structure facilitates subsequent display of business attributes based on the business attribute data structure.
  • step 908 the inherent business attributes and the inherent business attribute data are displayed in the form of columns according to the business attribute data structure, and the business attributes and business attribute data saved in the row storage manner are displayed in the column display through row-to-column conversion.
  • the inherent business attributes and the corresponding inherent business attribute data exist in the form of columns in the data table
  • the dynamically expanded business attributes exist in the form of row storage, so the dynamic expansion needs to be performed through the conversion of rows and columns
  • the business attributes of are also displayed in the form of columns in the data table, so that all the business attributes corresponding to the business objects are displayed in the form of columns in the data table.
  • the method of dynamically expanding business attributes can achieve the purpose of dynamically expanding business attributes without changing the existing data table structure. It is simple and convenient, not only has low development cost, good efficiency, and low development threshold.
  • an embodiment of the present invention provides a device for dynamically expanding service attributes.
  • the device includes:
  • the obtaining module 1002 is used to obtain the business attributes and business attribute data stored in the row storage mode corresponding to the business object;
  • the conversion module 1004 is configured to convert the business attribute and the corresponding business attribute into the form of a column and display it in a data table by means of row and column conversion.
  • the device further includes:
  • the establishment module 1006 is configured to receive a business attribute corresponding to a business object through a configuration interface, and establish a correspondence between the business object and the business attribute;
  • the receiving module 1008 is configured to receive the entered business attribute data corresponding to each business attribute
  • the saving module 1010 is configured to save the business attribute and the business attribute data in a row storage manner.
  • each piece of data in the business attribute data corresponds to a data identifier and an attribute identifier; the conversion module is also used to obtain a data identifier and a corresponding attribute identifier corresponding to each piece of data in the business attribute data , According to the data identifier and the attribute identifier, the business attributes and the corresponding business attribute data are converted into columns in the form of columns and columns and displayed in the data table.
  • the conversion module is further used to obtain business attribute data to be converted into columns, and convert the business attribute data into a column by way of row-column conversion, and the one column contains multiple business attribute corresponding Business attribute data; obtain the data identifier corresponding to each piece of data in the business attribute data, and convert the business attribute data corresponding to the same data identifier into the same row in the one column according to the data identifier; according to the attribute of the business attribute Identifies that the business attribute data corresponding to the business attribute of the column is retained in the same row.
  • the conversion module is further configured to remove business attribute data not corresponding to the business attribute in the same row according to the attribute identifier of the business attribute, to obtain a result after the removal, when the removal When the result of contains punctuation marks, the punctuation marks are removed, and only business attribute data corresponding to the business attributes is obtained.
  • the device further includes:
  • An inherent acquisition module 1012 configured to acquire inherent business attributes corresponding to the business object and corresponding inherent business attribute data
  • the determining module 1014 is configured to determine a business attribute data structure corresponding to the business object according to the inherent business attribute and the business attribute stored in a row storage manner;
  • the conversion module is also used to display the inherent business attribute data and the business attribute data stored in a row storage manner in the form of columns in a data table according to the business attribute data structure.
  • FIG. 13 shows an internal structure diagram of a computer device in an embodiment.
  • the computer may be a terminal.
  • the computer device includes a processor, memory, display screen, and network interface connected by a system bus.
  • the memory includes a non-volatile storage medium and an internal memory.
  • the non-volatile storage medium of the computer device stores an operating system, and may also store a computer program.
  • the processor may enable the processor to implement a method for dynamically expanding business attributes.
  • a computer program may also be stored in the internal memory, and when the computer program is executed by the processor, the processor may cause the processor to execute a method for dynamically expanding service attributes.
  • the display screen is used to display data tables and corresponding data, and the network interface is used to communicate with the outside world.
  • the structure shown in FIG. 13 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied.
  • the specific computer device may It includes more or fewer components than shown in the figure, or some components are combined, or have a different component arrangement.
  • the business attribute dynamic expansion method provided by the present application may be implemented in the form of a computer program, and the computer program may run on the computer device shown in FIG. 13.
  • the memory of the computer device may store various program templates constituting the service attribute dynamic expansion device. For example, the acquisition module 1002 and the conversion module 1004.
  • a computer device includes a memory and a processor, and the memory stores a computer program, and when the computer program is executed by the processor, the processor is caused to perform the following steps: acquiring a row storage mode corresponding to a business object Stored business attributes and business attribute data; convert the business attributes and corresponding business attribute data into columns in the form of rows and columns to be displayed in the data table.
  • a computer-readable storage medium storing a computer program, which when executed by a processor, causes the processor to perform the following steps: acquiring business attributes and business attribute data stored in a row storage manner corresponding to a business object ; Converting the business attributes and corresponding business attribute data into columns in the form of rows and columns to be displayed in the data table.
  • Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory.
  • Volatile memory can include random access memory (RAM) or external cache memory.
  • RAM random access memory
  • DRAM dynamic RAM
  • SDRAM synchronous DRAM
  • DDRSDRAM double data rate SDRAM
  • ESDRAM enhanced SDRAM
  • SLDRAM synchronous chain Road (Synchlink) DRAM
  • RDRAM direct RAM
  • DRAM direct memory bus dynamic RAM
  • RDRAM memory bus dynamic RAM

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  • Databases & Information Systems (AREA)
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Abstract

L'invention concerne un procédé d'expansion dynamique d'un attribut de service, ledit procédé consistant : à obtenir des attributs de service et des données d'attribut de service stockés en mode rangée qui correspondent à un objet de service (202) ; au moyen d'une conversion de ligne/colonne, à convertir lesdits attributs de service et des données d'attribut de service correspondantes en colonnes et à les afficher dans une table de données (204). Dans le procédé, il est seulement nécessaire de stocker dans une rangée les attributs de service à étendre, et, ensuite, d'obtenir une expansion dynamique d'attributs de service au moyen d'une conversion de ligne/colonne et il n'est pas nécessaire d'ajouter une nouvelle structure de table ; le procédé est facile et pratique et réduit considérablement les coûts de développement et améliore l'efficacité de développement. De plus, l'invention porte également sur un appareil d'expansion dynamique d'attribut de service, sur un dispositif informatique et sur un support d'informations.
PCT/CN2018/123611 2018-12-24 2018-12-25 Procédé d'expansion dynamique d'attribut de service, appareil, dispositif informatique et support d'informations WO2020132890A1 (fr)

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CN201811585299.6A CN111352983A (zh) 2018-12-24 2018-12-24 业务属性动态扩展方法、装置、计算机设备及存储介质

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Publication number Priority date Publication date Assignee Title
CN114201545B (zh) * 2022-02-16 2022-04-22 希维科技(广州)有限公司 数据处理方法、装置、终端设备及存储介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104239580A (zh) * 2014-10-13 2014-12-24 武汉大学 基于值-列映射的通用单字段拆分数据抽取方法和装置
WO2015106711A1 (fr) * 2014-01-20 2015-07-23 阿里巴巴集团控股有限公司 Procédé et dispositif pour construire un index de base de données nosql pour données semi-structurées
CN106844324A (zh) * 2017-02-22 2017-06-13 浪潮通用软件有限公司 一种变动列数据导出为Excel格式的方法
CN106919687A (zh) * 2017-03-03 2017-07-04 济南浪潮高新科技投资发展有限公司 一种通用的内存数据表行转列展示的实现方法
CN107291961A (zh) * 2017-08-08 2017-10-24 中国银行股份有限公司 一种数据处理方法及装置
CN108595627A (zh) * 2018-04-23 2018-09-28 温州市鹿城区中津先进科技研究院 一种自助式数据分析建模平台

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004252655A (ja) * 2003-02-19 2004-09-09 Seiko Epson Corp マークアップ言語で表された表を展開するファイル変換装置
CN105701112A (zh) * 2014-11-26 2016-06-22 华为软件技术有限公司 一种数据处理方法、装置及系统
CN104537069B (zh) * 2014-12-26 2017-12-26 远光软件股份有限公司 一种单据配置及应用系统及其方法
CN106557531B (zh) * 2015-09-30 2020-07-03 伊姆西Ip控股有限责任公司 复杂结构对象转换成平面化数据的方法、设备和存储介质

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015106711A1 (fr) * 2014-01-20 2015-07-23 阿里巴巴集团控股有限公司 Procédé et dispositif pour construire un index de base de données nosql pour données semi-structurées
CN104239580A (zh) * 2014-10-13 2014-12-24 武汉大学 基于值-列映射的通用单字段拆分数据抽取方法和装置
CN106844324A (zh) * 2017-02-22 2017-06-13 浪潮通用软件有限公司 一种变动列数据导出为Excel格式的方法
CN106919687A (zh) * 2017-03-03 2017-07-04 济南浪潮高新科技投资发展有限公司 一种通用的内存数据表行转列展示的实现方法
CN107291961A (zh) * 2017-08-08 2017-10-24 中国银行股份有限公司 一种数据处理方法及装置
CN108595627A (zh) * 2018-04-23 2018-09-28 温州市鹿城区中津先进科技研究院 一种自助式数据分析建模平台

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