CN111949612B - Unstructured data storage middleware system based on hadoop and use method thereof - Google Patents
Unstructured data storage middleware system based on hadoop and use method thereof Download PDFInfo
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- CN111949612B CN111949612B CN202010755885.1A CN202010755885A CN111949612B CN 111949612 B CN111949612 B CN 111949612B CN 202010755885 A CN202010755885 A CN 202010755885A CN 111949612 B CN111949612 B CN 111949612B
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/16—File or folder operations, e.g. details of user interfaces specifically adapted to file systems
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
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- G06F16/172—Caching, prefetching or hoarding of files
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
Abstract
The invention belongs to the technical field of data storage, in particular to an unstructured data storage middleware system based on hadoop and a using method thereof, wherein the system comprises the following components: the data verification module is connected with the database and the file system and is connected with the data reading module; the data reading module is connected with a data processing assembly, the data processing assembly is further respectively connected with a database and a file system, and the data processing assembly is used for: and after the original data information is classified according to the data category, packaging the classified data according to the data keywords, and sending the data to a corresponding database or a corresponding file system. By applying the invention, the classified encapsulation of the data can be realized.
Description
Technical Field
The invention relates to the technical field of data storage, in particular to an unstructured data storage middleware system based on hadoop and a using method thereof.
Background
With the development of information technology, a middleware thought is provided on the aspect of adjusting the adaptability of a program to different systems by avoiding excessive time spent by a program developer in programming. Middleware is a type of software that is intermediate between application systems and system software, and is a separate system software service by which distributed application software shares resources between different technologies, and is located on top of the operating system of the client server, managing computing resources and network communications. At present, the middleware plays a role in starting and stopping in a computer system, and isolates a bottom system from application software, so that a program developer can use more time for developing a program instead of adjusting the adaptability of the program, and the development efficiency is greatly improved.
The invention patent application with the application number of 201910902344.4 in the prior art discloses a method and a device for storing a file cloud based on unstructured data middleware, and belongs to the technical field of data storage. The cloud storage device comprises a uniform integration interface, a storage mode identification interface, a storage mode integration library, an unstructured data integrity identification interface, a data file size detection interface, a cloud middleware, a data classification identification matching interface and an unstructured data classification library; according to the invention, the complex unstructured data can be classified, encrypted, stored and the like, and the cloud middleware can flexibly expand the capacity according to the size of the stored data, so that the size of a storage space and the physical storage position of the data do not need to be considered when a user submits the data. Meanwhile, a third-party system can rapidly acquire file data, storage pressure is reduced, response time of pages is saved, working efficiency is improved, good use experience is brought to users, and hardware cost is saved.
However, the inventor finds that, although classification is performed in the prior art, when application software calls the file, the application software still needs to traverse one by one to query the needed file, which results in low query efficiency.
Disclosure of Invention
The invention provides a hadoop-based unstructured data storage middleware system and a using method thereof, which aim to solve the technical problem of low query efficiency in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides an unstructured data storage middleware system based on hadoop, which comprises the following components: the data verification module is connected with the database and the file system and is connected with the data reading module;
the data reading module is connected with a data processing assembly, the data processing assembly is also respectively connected with the database and the file system, and the data processing assembly is used for: and after the original data information is classified according to the data category, packaging the classified data according to the data keywords, and sending the data to a corresponding database or a corresponding file system.
Optionally, the data verification module is configured to verify original data information located in the database and the file system, and verify whether the original data information is read, and the data reading module performs reading conversion on the verified original data information.
Optionally, the data processing component includes an instruction receiving module, a data classifying module, a data managing module, a data encapsulating module, a data issuing module, a data managing and setting module, and a data caching module, wherein,
the data classification module, the data management module, the data encapsulation module, the data release module and the data cache module are sequentially connected;
the data cache module is respectively connected with the data packaging module, the data classification module, the data reading module and the instruction receiving module;
the instruction receiving module, the data management setting module and the data management module are sequentially connected, and the data reading module is connected with the data classification module.
Optionally, the instruction receiving module is configured to receive instruction information for a data processing condition and issue a data processing mode to the data management module; the data classification module classifies the read original data information, forms a classification list for registration, and then stores the classified original data information and the classification list into the data cache module; the data management module is used for processing the classified data according to a set mode; the data processing system comprises a data packaging module, a data issuing module, a data management setting module, a data management module, a data receiving module, a data packaging module and a data caching module, wherein the data packaging module packages processed data and sends the processed data to the data caching module and the data issuing module, the data issuing module pushes the packaged data to a database and a file system, the data management setting module is used for managing the data processing mode of the data management module, and the data caching module is used for storing original data information read by the data reading module, instruction information received by the instruction receiving module, information packaged by the data packaging module and information distributed by the data issuing module.
Optionally, the data caching module is set to be read-only after receiving the encapsulated data and the classified original data information;
after receiving the encapsulated data, the data or file system provides service for the first application layer software;
after receiving the packaged data, the first application layer software reads the classified original data information from the data cache module; then, according to the category of the original data information, packaging the classified original data information by using a packaging algorithm corresponding to the category to obtain packaging verification data; and judging whether the data packaging process of the middleware has risks or not according to whether the packaging verification data is the same as the packaging data or not.
Optionally, the first application layer software is deployed on a server other than the middleware.
Optionally, the first application layer software is further configured to: and after judging that no risk exists in the data packaging process of the middleware under the condition that the packaging verification data is the same as the packaging data, the first application layer software broadcasts to second application layer software deployed in the server network, and no risk exists in the process of packaging the corresponding class data by the server with the middleware, wherein the data classes corresponding to the first application layer software and the second application layer software are the same.
Optionally, the server deployed with the first application layer software is also deployed with third application layer software, and is configured to receive a broadcast message sent by another server and addressed to a data category corresponding to the third application layer software, where the data category corresponding to the third application layer software is different from that corresponding to the first application layer software.
The invention also provides a method for using any one of the hadoop-based unstructured data storage middleware systems, which comprises the following steps:
s1, data verification and reading: the data verification module verifies original data information in the database and the file system, and when the verified original data information passes, the data reading module reads and converts the verified original data information;
s2, data processing control: firstly, an instruction receiving module receives instruction information for data processing conditions, and then the instruction information is transmitted to a data management setting module, so that the data management setting module sets data processing regulation in the data management module;
s2, data processing: the data classification module classifies the read original data information, forms a classification list for registration, and then stores the classified original data information and the classification list into the data cache module; and then the data management module processes the classified data according to a set mode, and sends the processed data to the data packaging module for packaging, and the data packaging module sends the packaged data to the data caching module and the data publishing module respectively, so that the data publishing module pushes the packaged data to a corresponding database or a corresponding file system according to the position information in the classification list.
By applying the embodiment of the invention, the classified data is packaged by setting the keywords, when the application software needs to call the file, only the keywords are traversed without traversing the whole file, the traversed content is less, and the query efficiency is further improved.
Drawings
Fig. 1 is a schematic structural diagram of an unstructured data storage middleware system based on hadoop according to 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 only a part of the embodiments of the present invention, and not all of the embodiments.
In a first aspect, fig. 1 is a schematic structural diagram of an unstructured data storage middleware system based on hadoop, as shown in fig. 1, the system includes: the data verification module is connected with the database and the file system and is connected with the data reading module;
the data reading module is connected with a data processing assembly, the data processing assembly is also respectively connected with the database and the file system, and the data processing assembly is used for: after the original data information is classified according to the data category, keywords of the original data information are extracted by using a keyword extraction algorithm, then the keywords are used as indexes of the original data information, and the classified data are packaged according to the data keywords and are sent to a corresponding database or a corresponding file system.
It is emphasized that, when a user queries the original data information from the application software layer, the keyword extraction algorithm same as that of the middle layer is used for extracting the keyword; or the application software stores a keyword list, the user queries according to the keyword list to obtain the required keywords, and then queries the original data information according to the keywords.
In a specific implementation manner of the embodiment of the present invention, the data checking module is configured to check original data information located in a database and a file system, and verify whether the original data information is read, and the data reading module performs read conversion on the checked original data information.
In a specific implementation manner of the embodiment of the present invention, the data processing component includes an instruction receiving module, a data classifying module, a data managing module, a data encapsulating module, a data issuing module, a data managing and setting module, and a data caching module,
the data classification module, the data management module, the data encapsulation module, the data release module and the data cache module are sequentially connected;
the data cache module is respectively connected with the data packaging module, the data classification module, the data reading module and the instruction receiving module;
the instruction receiving module, the data management setting module and the data management module are sequentially connected, and the data reading module is connected with the data classification module.
In a specific implementation manner of the embodiment of the present invention, the instruction receiving module is configured to receive instruction information for a data processing condition and issue a data processing manner to the data management module; the data classification module classifies the read original data information, forms a classification list for registration, and then stores the classified original data information and the classification list into the data cache module; the data management module is used for processing the classified data according to a set mode; the data processing system comprises a data packaging module, a data issuing module, a data management setting module, a data management module, a data receiving module, a data packaging module and a data caching module, wherein the data packaging module packages processed data and sends the processed data to the data caching module and the data issuing module, the data issuing module pushes the packaged data to a database and a file system, the data management setting module is used for managing the data processing mode of the data management module, and the data caching module is used for storing original data information read by the data reading module, instruction information received by the instruction receiving module, information packaged by the data packaging module and information distributed by the data issuing module.
In a specific implementation manner of the embodiment of the present invention, the data caching module is set to be read-only after receiving the encapsulated data and the classified original data information; the middleware comprising the data caching module is deployed in the server A;
after receiving the encapsulated data, the data or file system provides service for first application layer software deployed in a server B;
after receiving the encapsulated data, the first application layer software reads the classified original data information from the data cache module of the server A; then, the first application layer software acquires the category of the original data information from the original data information, and then inquires a packaging algorithm corresponding to the category from the server B according to the category of the original data information; then, the read original data message is encapsulated by using the encapsulation algorithm to obtain encapsulation verification data; and judging whether the data packaging process of the middleware has risks or not according to whether the packaging verification data is the same as the packaging data or not. When the packaging verification data is the same as the packaging data, judging that no risk exists in the data packaging process of the middleware; and judging that the data packaging process of the middleware has risk when the packaging verification data is not the same as the packaging data. By applying the embodiment of the invention, the first application layer software verifies the packaging algorithm, so that the abnormity can be timely discovered when the packaging algorithm is tampered or illegal data is written in the data access process.
Furthermore, when the server a packages the original data information, the hash value for the original data information can be packaged as the unique identifier, so that the original data information is prevented from being tampered, and the security is ensured.
In a specific implementation manner of the embodiment of the present invention, the first application layer software is further configured to: and after judging that no risk exists in the data packaging process of the middleware under the condition that the packaging verification data is the same as the packaging data, the first application layer software broadcasts to second application layer software deployed in the server network, and no risk exists in the process of packaging the corresponding class data by the server with the middleware, wherein the data classes corresponding to the first application layer software and the second application layer software are the same.
Illustratively, when the first application layer software deployed on the server B finds that there is no risk in the read original data information and the corresponding encapsulated data, the first application layer software notifies the second application layer software deployed on the server C and the server D, and after the second application layer software receives the broadcast, the second application layer software does not perform encapsulation verification on the encapsulated data on the server a any more, thereby avoiding repeated verification and improving efficiency.
In addition, when the first application layer software deployed on the server B finds that the read original data information and the corresponding encapsulated data have risks, the second application layer software deployed on the server C and the server D is notified, and after the second application layer software receives the broadcast, the encapsulated data on the server A is not read any more, so that repeated verification is avoided, other servers can be notified that the risks exist in the encapsulated data, and the system safety is improved.
It is emphasized that the categories of raw data information processed by the first application layer software and the second application layer software are the same.
In a specific implementation manner of the embodiment of the present invention, the server deployed with the first application layer software is also deployed with third application layer software, and is configured to receive a broadcast message, which is sent by another server and is addressed to a data category corresponding to the third application layer software, where the data category corresponding to the third application layer software is different from that corresponding to the first application layer software.
The third application layer software deployed in the server a may read the corresponding type of original data information from other servers, such as the server F, and similarly, the server a may also serve as a broadcast receiver to receive a broadcast for verification of the type of original data information.
Based on the embodiment of the first aspect of the present invention, the present invention further provides a method for using a hadoop-based unstructured data storage middleware system, where the method includes:
s1, data verification and reading: the data verification module verifies original data information in the database and the file system, and when the verified original data information passes, the data reading module reads and converts the verified original data information;
s2, data processing control: firstly, an instruction receiving module receives instruction information for data processing conditions, and then the instruction information is transmitted to a data management setting module, so that the data management setting module sets data processing regulation in the data management module; therefore, different modes of data management are adjusted, and the method is suitable for processing data under different conditions;
s2, data processing: the data classification module classifies the read original data information, forms a classification list for registration, and then stores the classified original data information and the classification list into the data cache module; and then the data management module processes the classified data according to a set mode, sends the processed data to the data packaging module for packaging, and the data packaging module respectively sends the packaged data to the data caching module and the data publishing module so that the data publishing module pushes the packaged data to a corresponding database or a corresponding file system according to the position information in the classification list.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (2)
1. An unstructured data storage middleware system based on hadoop, characterized in that the system comprises: the data verification module is connected with the database and the file system and is connected with the data reading module;
the data reading module is connected with a data processing assembly, the data processing assembly is further respectively connected with a database and a file system, and the data processing assembly is used for: after the original data information is classified according to the data category, the classified data is packaged according to the data keywords and is sent to a corresponding database or a corresponding file system;
the data verification module is used for verifying original data information located in the database and the file system and verifying whether the original data information is read or not, and the data reading module is used for reading and converting the verified original data information;
the data processing component comprises an instruction receiving module, a data classification module, a data management module, a data packaging module, a data publishing module, a data management setting module and a data caching module, wherein,
the data classification module, the data management module, the data packaging module, the data publishing module and the data caching module are connected in sequence;
the data cache module is respectively connected with the data packaging module, the data classification module, the data reading module and the instruction receiving module;
the instruction receiving module, the data management setting module and the data management module are sequentially connected, and the data reading module is connected with the data classification module;
the instruction receiving module is used for receiving instruction information used for data processing conditions and issuing a data processing mode to the data management module; the data classification module classifies the read original data information, forms a classification list for registration, and then stores the classified original data information and the classification list into the data cache module; the data management module is used for processing the classified data according to a set mode; the data processing system comprises a data packaging module, a data issuing module, a data management setting module, a data management module and a data receiving module, wherein the data packaging module packages processed data and sends the processed data to the data caching module and the data issuing module;
the data caching module is set to be read-only after receiving the packaged data and the classified original data information;
after receiving the encapsulated data, the data or file system provides service for the first application layer software;
after receiving the encapsulated data, the first application layer software reads the classified original data information from the data cache module; then, according to the category of the original data information, packaging the classified original data information by using a packaging algorithm corresponding to the category to obtain packaging verification data; judging whether the data packaging process of the middleware has risks or not according to whether the packaging verification data is the same as the packaging data or not;
the first application layer software is deployed on other servers except the middleware;
the first application layer software is further configured to: after judging that no risk exists in the data packaging process of the middleware under the condition that the packaging verification data is the same as the packaging data, the first application layer software broadcasts to second application layer software deployed in a server network, and no risk exists in the process that the server deployed with the middleware packages corresponding type data, wherein the data types corresponding to the first application layer software and the second application layer software are the same;
the server deployed with the first application layer software is also deployed with third application layer software for receiving broadcast messages sent by other servers and aiming at data categories corresponding to the third application layer software, wherein the data categories corresponding to the third application layer software are different from those corresponding to the first application layer software.
2. A method of using the hadoop based unstructured data storage middleware system of claim 1, the method comprising:
s1, data verification and reading: the data verification module verifies original data information in the database and the file system, and when the verified original data information passes, the data reading module reads and converts the verified original data information;
s2, data processing control: firstly, an instruction receiving module receives instruction information for data processing conditions, and then the instruction information is transmitted to a data management setting module so that the data management setting module sets data processing regulation in the data management module;
s3, data processing: the data classification module classifies the read original data information, forms a classification list for registration, and then stores the classified original data information and the classification list into the data cache module; and then the data management module processes the classified data according to a set mode, and sends the processed data to the data packaging module for packaging, and the data packaging module sends the packaged data to the data caching module and the data publishing module respectively, so that the data publishing module pushes the packaged data to a corresponding database or a corresponding file system according to the position information in the classification list.
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