CN110502520B - Method, system and equipment for data warehousing and computer readable storage medium - Google Patents
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- CN110502520B CN110502520B CN201910797401.7A CN201910797401A CN110502520B CN 110502520 B CN110502520 B CN 110502520B CN 201910797401 A CN201910797401 A CN 201910797401A CN 110502520 B CN110502520 B CN 110502520B
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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
- G06F16/2282—Tablespace storage structures; Management thereof
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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
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/258—Data format conversion from or to a database
Abstract
The application discloses a method for data storage, which comprises the following steps: storing the JSON text to a server by utilizing a PHP tool; analyzing the JSON text on the server by using a Go tool, and storing each field obtained by analysis into an intermediate table of the Mysql database; when a field mapping command is received, determining a mapping relation according to the field mapping command; and storing each field in the intermediate table into a product table of the Mysql database according to the mapping relation by using a Go tool. According to the method and the device, the analysis and the storage of the data are processed by using a Go tool, so that the efficiency of a data storage link is greatly improved; meanwhile, the server and the database are used as media, so that cooperative work of the Go tool and the PHP tool in the same environment is realized, and other links of the original system are not influenced. The application also provides a system, equipment and a computer readable storage medium for data warehousing, and the system, the equipment and the computer readable storage medium have the beneficial effects.
Description
Technical Field
The present application relates to the field of website data storage, and in particular, to a method, a system, a device, and a computer-readable storage medium for data storage.
Background
The PHP is a universal open source scripting language, is quick to enter, low in development cost, high in execution efficiency and simple to deploy, and is mainly suitable for the field of website development. Mysql is a relational database management system, and is the best relational database management system application software in the aspect of website application; mysql is small in size, fast in speed and open in source codes, so that many websites usually adopt PHP + Mysql to form a development environment.
A website usually needs to store mass text data into a database table, the scheme in the prior art is to use PHP programming to acquire data, use regular expressions to match and extract the data and convert the data into JSON text, analyze the JSON text through PHP and store the JSON text into the database, and store the JSON text into the database table through the Mysql storage process after the data is processed into a mapping relation.
However, because the PHP does not support multithreading well, and the Mysql storage process does not support multithreading, it is inefficient to store massive text in the database table using the PHP and the storage process; meanwhile, if an interruption (such as error reporting) occurs, the data needs to be stored again, and the process is complex.
Therefore, how to implement the unstructured fast large data storage is a technical problem that needs to be solved by those skilled in the art at present.
Disclosure of Invention
The application aims to provide a method, a system, equipment and a computer readable storage medium for data warehousing, which are used for realizing the rapid warehousing of unstructured big data.
In order to solve the above technical problem, the present application provides a method for data storage, including:
receiving input data to be stored;
converting the data to be stored into a JSON text by using a PHP tool, and storing the JSON text to a server;
analyzing the JSON text on the server by using a Go tool, and storing each field obtained by analysis into a middle table of a Mysql database;
when a field mapping command is received, determining a mapping relation according to the field mapping command;
and storing each field in the intermediate table into a product table of the Mysql database according to the mapping relation by utilizing the Go tool.
Optionally, the converting the data to be stored into a JSON text by using a PHP tool includes:
receiving an input regular expression;
extracting the data to be stored through the regular expression by using the PHP tool to obtain necessary data;
and converting the necessary data into the JSON text by utilizing the PHP tool.
Optionally, after storing each field obtained by parsing in an intermediate table of the Mysql database, the method further includes:
and reading the intermediate table by utilizing the PHP tool, and displaying each field in the intermediate table on an operation interface.
Optionally, after storing, by using the Go tool, each field in the intermediate table into a product table of the Mysql database according to the mapping relationship, the method further includes:
and outputting the prompt information of the data storage completion to a preset position.
The present application further provides a system for data warehousing, which includes:
the receiving module is used for receiving input data to be stored;
the conversion module is used for converting the data to be stored into a JSON text by utilizing a PHP tool and storing the JSON text to a server;
the analysis module is used for analyzing the JSON text on the server by using a Go tool and storing each field obtained by analysis into a middle table of the Mysql database;
the determining module is used for determining a mapping relation according to the field mapping command when the field mapping command is received;
and the storage module is used for storing each field in the intermediate table into a product table of the Mysql database according to the mapping relation by utilizing the Go tool.
Optionally, the conversion module includes:
the receiving submodule is used for receiving the input regular expression;
the extraction submodule is used for extracting the data to be stored through the regular expression by utilizing the PHP tool to obtain necessary data;
and the conversion submodule is used for converting the necessary data into the JSON text by utilizing the PHP tool.
Optionally, the method further includes:
and the display module is used for reading the intermediate table by utilizing the PHP tool and displaying each field in the intermediate table on an operation interface.
Optionally, the method further includes:
and the output module is used for outputting the prompt message of finishing the data storage to a preset position.
The application also provides a data warehousing device, which comprises:
a memory for storing a computer program;
a processor configured to implement the steps of the method for data warehousing as described in any one of the above when the computer program is executed.
The present application further provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of data warehousing as described in any one of the above.
The method for data storage provided by the application comprises the following steps: receiving input data to be stored; converting the data to be stored into a JSON text by using a PHP tool, and storing the JSON text to a server; analyzing the JSON text on the server by using a Go tool, and storing each field obtained by analysis into an intermediate table of the Mysql database; when a field mapping command is received, determining a mapping relation according to the field mapping command; and storing each field in the intermediate table into a product table of the Mysql database according to the mapping relation by using a Go tool.
According to the technical scheme, the JSON text on the server is analyzed by using the Go tool, each field obtained by analysis is stored into the intermediate table of the Mysql database, and the Go tool which has high support concurrency and is suitable for processing big data is used for processing the analysis and storage of the data, so that the efficiency of a data storage link is greatly improved; meanwhile, the server and the database are used as media, cooperative work of a Go tool and a PHP tool in the same environment is achieved, other links of an original system are not affected, finally, each field in the intermediate table is stored into a product table of the Mysql database according to the mapping relation by the Go tool, and the efficiency of data storage is further improved. The application also provides a system, equipment and a computer readable storage medium for data warehousing, which have the beneficial effects and are not repeated herein.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a method for data warehousing according to an embodiment of the present application;
FIG. 2 is a flow chart of an actual representation of S102 in a data warehousing method provided in FIG. 1;
fig. 3 is a schematic diagram of a relationship of a data warehousing process according to an embodiment of the present application;
fig. 4 is a structural diagram of a data warehousing system according to an embodiment of the present application;
fig. 5 is a block diagram of another data warehousing system provided in an embodiment of the present application;
fig. 6 is a structural diagram of a data warehousing device according to an embodiment of the present application.
Detailed Description
The core of the application is to provide a method, a system, equipment and a computer readable storage medium for data warehousing, which are used for realizing the rapid warehousing of unstructured big data.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for data warehousing according to an embodiment of the present disclosure.
The method specifically comprises the following steps:
s101: receiving input data to be stored;
the website usually needs to store massive text data into a database table, the PHP does not support multithreading well, the Mysql storage process does not support multithreading, and the efficiency of storing massive text into the database table by using the PHP and the storage process is low.
S102: converting the data to be stored into a JSON text by using a PHP tool, and storing the JSON text to a server;
JSON (JavaScript Object Notation) is a lightweight data exchange format, and stores and represents data in a text format completely independent of a programming language, and the purpose of converting data to be stored into JSON text by using a PHP tool mentioned here is to facilitate machine analysis of the data to be stored and effectively improve network transmission efficiency;
the PHP tool is written by utilizing a PHP language, the PHP is a universal open source script language, the access is fast, the development cost is low, the execution efficiency is high, the deployment is simple, and the PHP tool is suitable for the field of website development, and can be used for quickly converting data to be stored into JSON texts and storing the JSON texts into a server;
optionally, the conversion of the data to be stored into the JSON text by using the PHP tool mentioned here may specifically be a step shown in fig. 2, which is described below with reference to fig. 2.
Referring to fig. 2, fig. 2 is a flowchart illustrating an actual representation manner of S102 in the data warehousing method provided in fig. 1.
The method specifically comprises the following steps:
s201: receiving an input regular expression;
s202: extracting data to be stored through a regular expression by using a PHP tool to obtain necessary data;
s203: and converting the necessary data into JSON text by utilizing a PHP tool.
Regular expressions are logical formulas that operate on strings of characters, including common characters (e.g., letters between a and z) and special characters (called "meta characters"), by using specific characters defined in advance and combinations of the specific characters to form a "regular string" that expresses a filtering logic on the string of characters, and are text patterns that describe one or more strings to be matched when searching for text.
Based on the fact that noise data or other unnecessary data may exist in the received data to be stored, the data to be stored are extracted by using a regular expression to obtain necessary data, and finally the necessary data are converted into JSON texts by using a PHP tool, so that the data precision is improved, and the data storage efficiency is further improved.
S103: analyzing the JSON text on the server by using a Go tool, and storing each field obtained by analysis into an intermediate table of the Mysql database;
the Go tool is developed according to the Go language, the Go language is a static strong type, a compiling type and a concurrency type developed by Google, the programming language has a garbage recycling function, the Go language is very efficient and highly supports concurrency, the application can realize quick analysis of JSON texts on the server by using the Go tool, and each field obtained by analysis is stored into a middle table of a Mysql database, so that the data storage speed is greatly improved;
optionally, after each field obtained through analysis is stored in the intermediate table of the Mysql database, the intermediate table may be read by using a PHP tool, and each field in the intermediate table is displayed on the operation interface, so that a user can perform sorting of mapping association relationship on the displayed field on the operation interface.
S104: when a field mapping command is received, determining a mapping relation according to the field mapping command;
s105: and storing each field in the intermediate table into a product table of the Mysql database according to the mapping relation by using a Go tool.
Referring to fig. 3, fig. 3 is a schematic diagram illustrating a relationship of a data warehousing process according to an embodiment of the present application;
as shown in fig. 3, after the PHP tool obtains external data and converts the external data into Json, the Json is stored in the server in the form of a text file, then a Go tool is used to read and analyze the Json text on the server, and then the strong concurrency capability of the Go tool is used to store each field data obtained by analysis into a middle table of the Mysql database; and reading fields in the intermediate table of the Mysql by using a PHP tool and displaying the fields on an operation interface so that a user can sort the mapping association relation on the operation interface, and finally processing each field according to the mapping relation by using a Go tool and storing the fields in a product table of the Mysql.
Optionally, after each field in the intermediate table is stored in the product table of the Mysql database according to the mapping relationship by using the Go tool, the prompt information of the completion of data storage may be output to a preset position, so that the user can perform corresponding processing on the data to be put in storage in time.
Based on the technical scheme, the JSON text on the server is analyzed by using the Go tool, each field obtained by analysis is stored into the intermediate table of the Mysql database, and the Go tool which has high support concurrency and is suitable for processing big data is used for processing the analysis and the storage of the data, so that the efficiency of a data storage link is greatly improved; meanwhile, the server and the database are used as media, cooperative work of a Go tool and a PHP tool in the same environment is achieved, other links of an original system are not affected, finally, each field in the intermediate table is stored into a product table of the Mysql database according to the mapping relation by the Go tool, and the efficiency of data storage is further improved.
Referring to fig. 4, fig. 4 is a structural diagram of a data warehousing system according to an embodiment of the present application.
The system may include:
a receiving module 100, configured to receive input data to be stored;
the conversion module 200 is used for converting the data to be stored into a JSON text by using a PHP tool and storing the JSON text to a server;
the analysis module 300 is used for analyzing the JSON text on the server by using a Go tool and storing each field obtained by analysis into a middle table of the Mysql database;
a determining module 400, configured to determine, when a field mapping command is received, a mapping relationship according to the field mapping command;
and the storage module 500 is configured to store each field in the intermediate table into a product table of the Mysql database according to the mapping relationship by using a Go tool.
Referring to fig. 5, fig. 5 is a block diagram of another data warehousing system according to an embodiment of the present application.
The conversion module 200 may include:
the receiving submodule is used for receiving the input regular expression;
the extraction submodule is used for extracting the data to be stored through a regular expression by utilizing a PHP tool to obtain necessary data;
and the conversion submodule is used for converting the necessary data into the JSON text by utilizing the PHP tool.
The system may further comprise:
and the display module is used for reading the intermediate table by utilizing the PHP tool and displaying each field in the intermediate table on the operation interface.
The system may further comprise:
and the output module is used for outputting the prompt message of finishing the data storage to a preset position.
The various components of the above system may be practically applied in the following embodiments:
the receiving module receives input data to be stored; the conversion module converts the data to be stored into a JSON text by using a PHP tool and stores the JSON text to a server; the analysis module analyzes the JSON text on the server by using a Go tool and stores each field obtained by analysis into a middle table of the Mysql database; the display module reads the intermediate table by using the PHP tool and displays each field in the intermediate table on the operation interface; when a field mapping command is received, the determining module determines a mapping relation according to the field mapping command; the storage module stores each field in the intermediate table into a product table of the Mysql database according to the mapping relation by using a Go tool; the output module outputs prompt information of data storage completion to a preset position.
Referring to fig. 6, fig. 6 is a structural diagram of a data warehousing device according to an embodiment of the present application.
The data-warehousing device 600 may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 622 (e.g., one or more processors) and a memory 632, one or more storage media 630 (e.g., one or more mass storage devices) storing applications 642 or data 644. Memory 632 and storage medium 630 may be, among other things, transient or persistent storage. The program stored in the storage medium 630 may include one or more modules (not shown), each of which may include a sequence of instructions operating on the device. Further, the central processor 622 may be configured to communicate with the storage medium 630 and execute a series of instruction operations in the storage medium 630 on the data-warehousing device 600.
The data-warehousing device 600 may also include one or more power supplies 626, one or more wired or wireless network interfaces 650, one or more input-output interfaces 658, and/or one or more operating systems 641, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.
The steps in the data warehousing method described above with reference to fig. 1 to 3 are implemented by the data warehousing device based on the structure shown in fig. 6.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the module described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, device and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of modules is merely a division of logical functions, and an actual implementation may have another division, for example, a plurality of modules 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 modules, and may be in an electrical, mechanical or other form.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a function calling device, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The method, system, device and computer readable storage medium for data storage provided by the present application are described in detail above. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 a process, method, article, or apparatus that comprises the element.
Claims (8)
1. A method for data warehousing, comprising:
receiving input data to be stored;
converting the data to be stored into a JSON text by using a PHP tool, and storing the JSON text to a server;
analyzing the JSON text on the server by using a Go tool, and storing each field obtained by analysis into a middle table of a Mysql database;
when a field mapping command is received, determining a mapping relation according to the field mapping command;
storing each field in the intermediate table into a product table of the Mysql database according to the mapping relation by utilizing the Go tool;
converting the data to be stored into a JSON text by using a PHP tool, wherein the converting comprises the following steps:
receiving an input regular expression;
extracting the data to be stored through the regular expression by using the PHP tool to obtain necessary data;
and converting the necessary data into the JSON text by utilizing the PHP tool.
2. The method of claim 1, wherein after storing each parsed field in an intermediate table of the Mysql database, the method further comprises:
and reading the intermediate table by utilizing the PHP tool, and displaying each field in the intermediate table on an operation interface.
3. The method as claimed in claim 1, wherein after storing each of the fields in the intermediate table into the product table of the Mysql database according to the mapping relationship by using the Go tool, the method further comprises:
and outputting the prompt information of the data storage completion to a preset position.
4. A system for warehousing data, comprising:
the receiving module is used for receiving input data to be stored;
the conversion module is used for converting the data to be stored into a JSON text by utilizing a PHP tool and storing the JSON text to a server;
the analysis module is used for analyzing the JSON text on the server by using a Go tool and storing each field obtained by analysis into a middle table of the Mysql database;
the determining module is used for determining a mapping relation according to the field mapping command when the field mapping command is received;
the storage module is used for storing each field in the intermediate table into a product table of the Mysql database according to the mapping relation by utilizing the Go tool;
wherein the conversion module comprises:
the receiving submodule is used for receiving the input regular expression;
the extraction submodule is used for extracting the data to be stored through the regular expression by utilizing the PHP tool to obtain necessary data;
and the conversion submodule is used for converting the necessary data into the JSON text by utilizing the PHP tool.
5. The system of claim 4, further comprising:
and the display module is used for reading the intermediate table by utilizing the PHP tool and displaying each field in the intermediate table on an operation interface.
6. The system of claim 4, further comprising:
and the output module is used for outputting the prompt message of finishing the data storage to a preset position.
7. A data warehousing device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the method of data warehousing as claimed in any one of claims 1 to 3 when executing the computer program.
8. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, carries out the steps of a method of data warehousing as claimed in any one of claims 1 to 3.
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| CN113127484A (en) * | 2020-12-31 | 2021-07-16 | 重庆帮企科技集团有限公司 | Efficient and quick data storage method and device |
| CN113326681A (en) * | 2021-05-25 | 2021-08-31 | 上海微盟企业发展有限公司 | Data processing method, device, equipment and computer readable storage medium |
| CN113220695A (en) * | 2021-06-03 | 2021-08-06 | 中国农业银行股份有限公司 | Data storage method, device, equipment, medium and product |
| CN113342580B (en) * | 2021-07-06 | 2024-02-27 | 中国工商银行股份有限公司 | Data backup method, device and equipment |
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