CN113901098A - Template-based data export method, device, medium and equipment - Google Patents
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- 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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
- G06F16/24578—Query processing with adaptation to user needs using ranking
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/103—Formatting, i.e. changing of presentation of documents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/12—Use of codes for handling textual entities
- G06F40/151—Transformation
- G06F40/157—Transformation using dictionaries or tables
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/186—Templates
Abstract
The invention relates to a data export method based on a template, which comprises the steps of asynchronously executing a first flow and a second flow after acquiring a target type and a target data parameter of a file to be exported; the first process comprises the steps that the main process determines an export file template according to the target type, configures an export queue template based on the export file template, reads target data in a queue and exports the target data to obtain an export file; the second process includes: and the sub-thread queries the database to obtain metadata according to the exported queue template and the target data parameters, converts the metadata and then puts the converted metadata into a queue. And the main thread acquires the converted metadata from the queue and puts the metadata into a file to be exported. The method is used for exporting the report with large data volume of the enterprise-level application system, reduces repeated development of exporting reports of different services, saves labor cost and improves working efficiency. The method brings convenience for order checking, financial accounting, bill sorting and the like. The invention also relates to a template-based data export device, medium and equipment.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a template-based data export method, apparatus, medium, and device.
Background
At present, when a large amount of data is exported, a user sends a data export request through a browser, a server queries data from a database through a query statement after receiving the request, the database returns a queried result to the server, the server conducts business reorganization on the returned result and then sends the result to the user, along with the use of a system, the number of users is increased, the number of required report types is increased, and the increased number of report types are required to be developed.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method, an apparatus, a medium, and a device for template-based data export, aiming at the defects of the prior art.
The technical scheme for solving the technical problems is as follows:
a template-based data derivation method, comprising:
receiving a exporting request, analyzing the exporting request, and asynchronously executing a first process and a second process after acquiring a target type and a target data parameter of a file to be exported;
the first process includes: determining an export file template according to the target type by the main thread, and configuring an export column template based on the export file template, wherein the export file template comprises the target type, the name of a file to be exported, the title of the file to be exported, page tail information, a template file address, a metadata query link and a request mode, the export column template comprises a column head display name, a field attribute name, a converter name and a converter parameter, reading target data in a queue, and exporting the target data to obtain an export file;
the second process includes: and the sub-thread queries a database according to the exported queue template and the target data parameters to obtain metadata, converts the metadata and then puts the converted metadata into the queue.
And the main thread acquires the converted metadata from the queue and puts the metadata into the file to be exported.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, the converting the metadata and then placing the converted metadata into the queue specifically includes:
when the name of the converter in the export column template is not empty, loading the converter corresponding to the target data parameter;
converting, with the converter, the target data parameter to a value of a parameter type of the converter.
Further, the method further comprises:
the queue is arranged in a memory, and the page number of the file to be exported is determined according to the total amount of the metadata and the preset paging record number;
when the quantity of the metadata in the queue is larger than the preset paging record number, the file to be exported reads the metadata from the queue;
and the sub thread puts the converted metadata of the preset paging record number into the queue.
Further, the converter includes a data dictionary converter and a calculation converter.
Further, the main thread obtains the converted metadata from the queue and puts the metadata into the file to be exported, and specifically includes:
the main thread synchronously derives the metadata from the queue or the main thread asynchronously derives the metadata from the queue.
The method has the beneficial effects that: the method comprises the steps of receiving a exporting request, analyzing the exporting request, obtaining a target type and a target data parameter of a file to be exported, and then asynchronously executing a first flow and a second flow; the first process includes: determining an export file template according to the target type by the main thread, and configuring an export column template based on the export file template, wherein the export file template comprises the target type, the name of a file to be exported, the title of the file to be exported, page tail information, a template file address, a metadata query link and a request mode, the export column template comprises a column head display name, a field attribute name, a converter name and a converter parameter, reading target data in a queue, and exporting the target data to obtain an export file; the second process includes: and the sub-thread queries a database according to the exported queue template and the target data parameters to obtain metadata, converts the metadata and then puts the converted metadata into the queue. And the main thread acquires the converted metadata from the queue and puts the metadata into the file to be exported. The method can be universally used for exporting the report with large data volume of the enterprise-level application system, reduces the repeated development of exporting the report with different services, saves the labor cost and improves the working efficiency. The method brings convenience for order checking, financial accounting, bill sorting and the like.
Another technical solution of the present invention for solving the above technical problems is as follows:
a template-based data derivation apparatus, comprising:
the main module is used for receiving the export request, analyzing the export request, acquiring the target type and the target data parameters of the file to be exported, and then asynchronously executing the first flow module and the second flow module;
the first process module is used for determining an export file template according to the target type by a main thread and configuring an export column template based on the export file template, wherein the export file template comprises the target type, a file name to be exported, a file title to be exported, page tail information, a template file address, a metadata query link and a request mode, the export column template comprises a column head display name, a field attribute name, a converter name and a converter parameter, target data in a queue are read, and the target data are exported to obtain an export file;
the second process module is used for the sub-thread to query a database to obtain metadata according to the exported queue template and the target data parameters, and the metadata is converted and then is put into the queue;
and the main thread acquires the converted metadata from the queue and puts the metadata into the file to be exported.
Further, the second flow module is specifically configured to load the converter corresponding to the target data parameter when the name of the converter in the export column template is not empty;
converting, with the converter, the target data parameter to a value of a parameter type of the converter.
The device further comprises an export module, a queue and a storage module, wherein the export module is used for setting the queue in a memory and determining the page number of the file to be exported according to the total amount of the metadata and the preset paging record number;
when the quantity of the metadata in the queue is larger than the preset paging record number, the file to be exported reads the metadata from the queue;
and the sub thread puts the converted metadata of the preset paging record number into the queue.
The application provides an electronic device, including: one or more processors;
storage means for storing executable instructions that, when executed by the processor, implement the method according to any of the above technical solutions.
The present application also provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the method according to any of the above technical solutions.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention or in the description of the prior art will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart diagram of a template-based data export method according to an embodiment of the present invention;
fig. 2 is a block diagram of a template-based data deriving apparatus according to another embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, shall fall within the scope of protection of the present invention.
As shown in fig. 1, a template-based data derivation method according to an embodiment of the present invention includes the following steps:
110. and receiving a exporting request, analyzing the exporting request, acquiring the target type and the target data parameters of the file to be exported, and then asynchronously executing the first flow and the second flow.
120. The first process includes: and the main thread determines an export file template according to the target type and configures an export list template based on the export file template, wherein the export file template comprises the target type, the name of a file to be exported, the title of the file to be exported, page tail information, a template file address, a metadata query link and a request mode, the export list template comprises a list head display name, a field attribute name, a converter name and a converter parameter, target data in a queue are read, and the target data are exported to obtain an export file.
130. The second process includes: and the sub-thread queries a database according to the exported queue template and the target data parameters to obtain metadata, converts the metadata and then puts the converted metadata into the queue.
140. And the main thread acquires the converted metadata from the queue and puts the metadata into the file to be exported.
Based on the foregoing embodiment, further, the step 130 of converting the metadata and then placing the converted metadata into the queue specifically includes:
and when the name of the converter in the export column template is not empty, loading the converter corresponding to the target data parameter.
Converting, with the converter, a target data parameter to a value of a parameter type of the converter.
Further, the method also comprises the step 140:
the queue is arranged in a memory, and the page number of the file to be exported is determined according to the total amount of the metadata and the preset paging record number.
And when the quantity of the metadata in the queue is greater than the preset paging record number, reading the metadata from the queue by the file to be exported.
And the sub thread puts the converted metadata of the preset paging record number into the queue.
Further, the converter includes a data dictionary converter and a calculation converter.
Further, step 140 includes:
the main thread synchronously derives the metadata from the queue or the main thread asynchronously derives the metadata from the queue.
It should be appreciated that the present application provides a templated-based data export method that can be implemented in a modular fashion, where templates are customizable, and exported without templates as a generic template. The data display column is configurable and pluggable. Meanwhile, the method supports multiple data sources, namely es, mysql, tidb, oracle and the like, and can also support a cross-programming language platform to receive json format metadata. The front-end arbitrary request conditions are received by @ RequestBody HashMap < String, Object > requestParams. And simultaneously, various output data media such as excel, pdf and the like are supported. A plurality of data converters are arranged in the display device to process data, such as a data dictionary converter, an addition, subtraction, multiplication and division calculation converter and the like, and can be expanded according to display requirements. And tens of millions of large data volume exports are supported. The method supports batch data fetching, avoids large pressure on a database caused by fetching a large amount of data at one time, and simultaneously avoids memory overflow under the condition of large data volume. The method comprises a query failure retry mechanism, wherein the retry times are configurable, and message pushing is carried out when retry fails. And the multithreading read-write separation is adopted, so that the method is quick and efficient. The query is firstly carried out, and the query thread is started before the main thread is used for template making, head listing, attribute conversion and the like. And inquiring the acquired data and putting the acquired data in a queue, wherein the queue is in first-out, and the ordering of the data is ensured. Once the query is over, the query switch is closed. The main thread continuously fetches data from the queue and stops fetching if and only if the query switch is closed and the queue size queue. Synchronous and asynchronous policy adaptation mechanisms are supported. Within 2W of data, directly returning to the file stream within 10 seconds to finish exporting; and (3) asynchronously exporting the data 2W +, the front end does not need to wait for returning, receives a prompt, the background executes exporting to generate a file, uploads the file to file storage servers, and checks the exporting progress in a downloading list, and the file can be downloaded in 100% progress. The exported files can be downloaded for multiple times without repeated export, thereby saving time and resources. Asynchronous export tasks may be suspended, resumed, and cancelled. Cluster deployment is supported. The export component developed based on the application can be universally used for exporting the report with large data volume of the enterprise-level application system, the repeated development of exporting the report with different services is reduced, the labor cost is saved, and the working efficiency is improved. The method brings convenience for order checking, financial accounting, bill sorting and the like.
The template-based data export method based on the embodiment comprises the steps of receiving an export request, analyzing the export request, obtaining a target type and target data parameters of a file to be exported, and then asynchronously executing a first process and a second process; the first process includes: determining an export file template according to the target type by the main thread, and configuring an export column template based on the export file template, wherein the export file template comprises the target type, the name of a file to be exported, the title of the file to be exported, page tail information, a template file address, a metadata query link and a request mode, the export column template comprises a column head display name, a field attribute name, a converter name and a converter parameter, reading target data in a queue, and exporting the target data to obtain an export file; the second process includes: and the sub-thread queries a database according to the exported queue template and the target data parameters to obtain metadata, converts the metadata and then puts the converted metadata into the queue. And the main thread acquires the converted metadata from the queue and puts the metadata into the file to be exported. The method can be universally used for exporting the report with large data volume of the enterprise-level application system, reduces the repeated development of exporting the report with different services, saves the labor cost and improves the working efficiency. The method brings convenience for order checking, financial accounting, bill sorting and the like.
As shown in fig. 2, a template-based data derivation apparatus includes:
and the main module is used for receiving the export request, analyzing the export request, acquiring the target type and the target data parameters of the file to be exported, and then asynchronously executing the first flow module and the second flow module.
The first process module is used for the main thread to determine an export file template according to the target type and configure an export column template based on the export file template, wherein the export file template comprises the target type, a file name to be exported, a file title to be exported, page tail information, a template file address, a metadata query link and a request mode, the export column template comprises a column head display name, a field attribute name, a converter name and a converter parameter, target data in a queue are read, and the target data are exported to obtain an export file.
And the second process module is used for the sub-thread to query a database to obtain metadata according to the exported queue template and the target data parameters, and the metadata is converted and then is put into the queue.
And the main thread acquires the converted metadata from the queue and puts the metadata into the file to be exported.
Further, the second flow module is specifically configured to load the converter corresponding to the target data parameter when the name of the converter in the export column template is not empty;
converting, with the converter, the target data parameter to a value of a parameter type of the converter.
The device further comprises an export module, a queue and a storage module, wherein the export module is used for setting the queue in a memory and determining the page number of the file to be exported according to the total amount of the metadata and the preset paging record number;
when the quantity of the metadata in the queue is larger than the preset paging record number, the file to be exported reads the metadata from the queue;
and the sub thread puts the converted metadata of the preset paging record number into the queue.
The application provides an electronic device, including: one or more processors;
storage means for storing executable instructions that, when executed by the processor, implement the method according to any of the above technical solutions.
The present application also provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the method according to any of the above technical solutions.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium.
Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer memory, Read-only memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, etc. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A template-based data derivation method, comprising:
receiving a exporting request, analyzing the exporting request, and asynchronously executing a first process and a second process after acquiring a target type and a target data parameter of a file to be exported;
the first process includes: determining an export file template according to the target type by the main thread, and configuring an export column template based on the export file template, wherein the export file template comprises the target type, the name of a file to be exported, the title of the file to be exported, page tail information, a template file address, a metadata query link and a request mode, the export column template comprises a column head display name, a field attribute name, a converter name and a converter parameter, reading target data in a queue, and exporting the target data to obtain an export file;
the second process includes: the sub-thread queries a database according to the exported queue template and the target data parameters to obtain metadata, converts the metadata and then puts the converted metadata into the queue;
and the main thread acquires the converted metadata from the queue and puts the metadata into the file to be exported.
2. The template-based data export method according to claim 1, wherein the converting the metadata and placing the converted metadata into the queue specifically comprises:
when the name of the converter in the export column template is not empty, loading the converter corresponding to the target data parameter;
converting, with the converter, the target data parameter to a value of a parameter type of the converter.
3. The template-based data derivation method as claimed in claim 1, further comprising:
the queue is arranged in a memory, and the page number of the file to be exported is determined according to the total amount of the metadata and the preset paging record number;
when the quantity of the metadata in the queue is larger than the preset paging record number, the file to be exported reads the metadata from the queue;
and the sub thread puts the converted metadata of the preset paging record number into the queue.
4. The template-based data derivation method of claim 1, wherein the converter comprises a data dictionary converter and a computational converter.
5. The template-based data export method according to claim 1, wherein the main thread obtains the converted metadata from the queue and places the metadata into the file to be exported, specifically comprising:
the main thread synchronously derives the metadata from the queue or the main thread asynchronously derives the metadata from the queue.
6. A template-based data derivation apparatus, comprising:
the main module is used for receiving the export request, analyzing the export request, acquiring the target type and the target data parameters of the file to be exported, and then asynchronously executing the first flow module and the second flow module;
the first process module is used for determining an export file template according to the target type by a main thread and configuring an export column template based on the export file template, wherein the export file template comprises the target type, a file name to be exported, a file title to be exported, page tail information, a template file address, a metadata query link and a request mode, the export column template comprises a column head display name, a field attribute name, a converter name and a converter parameter, target data in a queue are read, and the target data are exported to obtain an export file;
the second process module is used for the sub-thread to query a database to obtain metadata according to the exported queue template and the target data parameters, and the metadata is converted and then is put into the queue;
and the main thread acquires the converted metadata from the queue and puts the metadata into the file to be exported.
7. The template-based data export apparatus according to claim 6, wherein the second process module is specifically configured to load the converter corresponding to the target data parameter when the converter name in the export list template is not empty;
converting, with the converter, the target data parameter to a value of a parameter type of the converter.
8. The template-based data export apparatus according to claim 6, further comprising an export module, configured to set the queue in a memory, and determine the number of pages of the file to be exported according to the total amount of metadata and a preset paging record number;
when the quantity of the metadata in the queue is larger than the preset paging record number, the file to be exported reads the metadata from the queue;
and the sub thread puts the converted metadata of the preset paging record number into the queue.
9. An electronic device, comprising: one or more processors;
storage means for storing executable instructions that, when executed by the processor, implement the method of any one of claims 1-5.
10. A computer-readable storage medium having stored thereon computer-executable instructions which, when executed by a processor, implement the method of any one of claims 1-5.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116204577A (en) * | 2023-05-04 | 2023-06-02 | 神州数码融信云技术服务有限公司 | Data export method and device, computer equipment and computer readable storage medium |
| CN116821166A (en) * | 2023-08-31 | 2023-09-29 | 云筑信息科技(成都)有限公司 | Distributed data export method |
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2021
- 2021-12-13 CN CN202111513762.8A patent/CN113901098A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116204577A (en) * | 2023-05-04 | 2023-06-02 | 神州数码融信云技术服务有限公司 | Data export method and device, computer equipment and computer readable storage medium |
| CN116821166A (en) * | 2023-08-31 | 2023-09-29 | 云筑信息科技(成都)有限公司 | Distributed data export method |
| CN116821166B (en) * | 2023-08-31 | 2023-12-08 | 云筑信息科技(成都)有限公司 | Distributed data export method |
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