CN112199431B - Metadata-based data sharing method and data sharing system - Google Patents
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Abstract
The invention discloses a method for sharing data based on metadata and a data sharing system, wherein the method comprises the steps of reading a table of a database and metadata forming a foundation by ER relation, adding comments to establish the ER relation, and deleting useless tables and fields in the metadata; acquiring page data resource catalogues and mapping relations between the catalogues and tables in a database, and generating query sql; constructing a dataFrame for the data sets, correlating the data sets through the dataFrame and configuring a data sharing task; loading a configuration file, making a container mirror image push mirror image to a private mirror image warehouse, and deploying a program to issue a data sharing task; the data sharing mechanism completes registration and submits a request, completes data sharing key allocation and receives data configuration information to share data. The invention can realize active metadata maintenance, perform unified authorization management on users accessing data sharing, reduce the technical complexity of data sharing and improve the data sharing efficiency through the deployment and visual configuration of the data sharing program.
Description
Technical Field
The present invention relates to the field of data sharing technologies, and in particular, to a method and a system for data sharing based on metadata.
Background
Current data sharing techniques are essentially focused on hardware devices or based on untrusted blockchain data sharing. But in practice most of the data sharing on the B-side or G-side is trust based. Trust-based data sharing, management is of greater importance than data sharing technology implementations. In other words, managing data sharing is also a well-understood technique.
Because most IT systems are built as required, the lack of unified top-level planning results in data resources being distributed among the IT systems without a clear directory structure. The technical means for realizing data sharing are also various, and have no unified authorization and monitoring, so that data management is at the edge of out-of-control, and great potential safety hazards exist. Because the technology of data sharing is not unified, the complexity of the technology of data sharing is high, which results in low development efficiency of the data sharing program and high maintenance cost.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a method and a system for sharing data based on metadata.
The aim of the invention is realized by the following technical scheme:
a method for data sharing based on metadata, comprising the steps of:
step one: initializing data resources, namely reading a table of a database and ER (ER) relations through a data resource initializing subroutine to form basic metadata, adding comments to the metadata, establishing the ER relations, and deleting useless tables and fields in the metadata;
step two: configuring a data set, acquiring a page data resource directory, generating a query sql of the data set according to the mapping relation between the data resource directory and the table in the database, and configuring the sql to generate the data set;
step three: configuring a data sharing task, constructing a dataFrame of a pandas for each data set, associating a plurality of data sets through the dataFrame, and configuring the plurality of associated data sets in the data sharing task;
step four: issuing a data sharing task, selecting a data issuing mode, loading yaml configuration files to corresponding template programs, making container images, pushing the images to a private image warehouse, selecting a deployment mode to deploy corresponding data sharing programs, and issuing the data sharing task;
step five: the data sharing exchange is carried out by the data issuing mechanism, the data set is firstly encrypted, the data sharing mechanism completes registration and submits a data sharing authority request, the data sharing mechanism receives shared data to select a data sharing task after the request passes, data sharing secret key distribution is carried out between the data sharing mechanism and the data issuing mechanism, data configuration information is received, the encrypted data set is decrypted according to the distributed shared secret key, and the decrypted data set is loaded in an inert loading mode to complete data sharing.
Specifically, the data release mode in the fourth step includes a RESTFul interface push mode, a library table push mode and a message push mode;
the RESTFul interface pushing mode adopts a configuration program to read sql corresponding to the data set, and then the sql is written into a yaml configuration file of the RESTFul interface;
the library table pushing mode can simultaneously configure the number of ETL nodes, the concurrency number of each node and the execution plan by reading sql of the data set, and write configuration data into the yaml configuration file of the ETL program;
the message pushing mode firstly configures a pushed data set, configures message reading frequency and a target-end message middle type, and writes configuration data into a yaml configuration file of a message pushing program.
Specifically, the deployment mode of the data sharing program in the fourth step comprises container deployment and k8s deployment; the container deployment is used for deploying data sharing tasks published by a library table pushing mode and a message pushing mode; and the k8s deployment is used for deploying the data sharing task published by the RESTFul interface pushing method in a cluster mode.
Specifically, the deployment process of the container deployment specifically includes: and loading yaml configuration files to corresponding template programs, making container images, pushing the container images to a private image warehouse, and manually designating or automatically distributing the container images through a paramiko ssh.
Specifically, the deployment process of the k8s deployment specifically includes: loading yaml configuration files to corresponding template programs, making container images, pushing the images to a private image warehouse, meanwhile making k8s minor deployment yaml files, uploading the minor deployment yaml files to a server where a k8s management client is located through a paramiko, and executing a k8s minor deployment command to generate minor.
Specifically, the process of the data issuing mechanism firstly encrypting the data set in the fifth step includes: the data issuing mechanism firstly reads data of a data set, selects an encryption field through a yaml configuration file, randomly generates 24-bit character strings in the form of ascii characters and numbers as 3DES passwords, encrypts the data of the selected encryption field through the 3DES passwords with the 24-bit password length, encrypts the 24-bit 3DES passwords through a rsa public key file, and adds the encrypted 24-bit 3DES passwords to shared data.
Specifically, the data sharing mechanism in the fifth step decrypts the encrypted data set according to the allocated shared key, and the decryption process includes: and decrypting the data of the 3DES_CODE through a rsa private key distributed by the data distribution mechanism, obtaining a 3DES password, decrypting the encrypted data set by using a 3DES decryption algorithm, and obtaining the decrypted data set.
A system for sharing data based on metadata comprises
The data initialization module is used for reading the table and ER relation of the database, generating basic metadata, annotating and adding the metadata, establishing the ER relation, and deleting useless table and field in the metadata;
the data set configuration module is used for acquiring the page data resource catalog and generating query sql of the data set according to the mapping relation between the data resource catalog and the table in the database;
the data sharing task configuration module is used for constructing a dataFrame of a pandas for each data set, associating a plurality of data sets through the dataFrame, and configuring the plurality of associated data sets in a data sharing task;
the task issuing module is used for selecting a data issuing mode, loading yaml configuration files to corresponding template programs, making container images, pushing the images to a private image warehouse, selecting a deployment mode to deploy corresponding data sharing programs and issuing data sharing tasks;
and the data sharing management module is used for providing registration and data sharing authority request submitting service for the data sharing mechanism, and approving the data sharing request and managing the sharing data transmission.
The invention has the beneficial effects that: the invention can realize active metadata maintenance, ensure that the data resource catalog is consistent with the real environment, and perform unified authorization management on users accessing data sharing. The data sharing program is deployed through the container, the container is arranged through k8s, and then the k8s api management and monitoring data sharing program is called. By utilizing the visual configuration data sharing program, the technical complexity of data sharing is reduced, and business personnel can issue data sharing tasks to complete data sharing according to business requirements.
Drawings
Fig. 1 is a flow chart of the method of the present invention.
Fig. 2 is a system architecture diagram of the present invention.
Detailed Description
For a clearer understanding of technical features, objects, and effects of the present invention, a specific embodiment of the present invention will be described with reference to the accompanying drawings.
In this embodiment, as shown in fig. 1, a method for sharing data based on metadata includes the following steps:
step one: and initializing the data resource, reading the table and ER relation of the database through a data resource initializing subprogram, forming basic metadata, adding comments to the metadata, establishing the ER relation, and deleting useless tables and fields in the metadata.
Step two: and configuring a data set, acquiring a page data resource catalog, and generating a query sql of the data set according to the mapping relation between the data resource catalog and the table in the database. Wherein, the data of the data set is loaded in an inert way, namely, the data is loaded only when a sharing request exists, and the data is stored in a configuration file mode before being added to the sharing program.
Step three: configuring data sharing tasks, constructing a dataFrame of a pandas for each data set, associating a plurality of data sets through the dataFrame, and configuring the plurality of associated data sets in one data sharing task. After the data sets are configured, a data sharing task can be configured, the data sharing is carried out based on the configured data sets, a plurality of data sets can be configured in one sharing task, but the association relation before the data sets is required to be specified, each data set corresponds to a dataFrame of a pandas, and the association is carried out through the dataFrame during association, so that the pressure of the database is well transferred. The configured data sharing task supports three release modes of RESTFul interface pushing, library table pushing and message pushing to release data.
Step four: and issuing a data sharing task, selecting a data issuing mode, loading yaml configuration files to corresponding template programs, making container images, pushing the images to a private image warehouse, selecting a deployment mode to deploy corresponding data sharing programs, and issuing the data sharing task.
The publishing mode refers to RESTFul interface, library table pushing and message pushing, namely, which modes can be selected by the user when the task configuration is shared, multiple selections are supported, and simultaneous publishing is indicated. Each release mode corresponds to a template program, and the variable is a yaml configuration file. The data release modes comprise a RESTFul interface push mode, a library table push mode and a message push mode. The RESTFul interface pushing mode adopts a configuration program to read sql corresponding to the data set, and then the sql is written into a yaml configuration file of the RESTFul interface. The library table pushing mode can simultaneously configure the number of ETL nodes, the concurrency number of each node and the execution plan by reading sql of the data set, and write configuration data into the yaml configuration file of the ETL program. The message pushing mode firstly configures a pushed data set, configures message reading frequency and the middle type of the target-end message, and writes configuration data into a yaml configuration file of a message pushing program.
The deployment mode of the data sharing program comprises container deployment and k8s deployment. The container deployment is used for deploying data sharing tasks published by a library table pushing mode and a message pushing mode. The k8s deployment is used for deploying the data sharing task issued by the RESTFul interface pushing method in a cluster mode.
The deployment process of the container deployment specifically comprises the following steps: and loading yaml configuration files to corresponding template programs, making container images, pushing the container images to a private image warehouse, and manually designating or automatically distributing the container images through a paramiko ssh.
The deployment process of k8s deployment specifically comprises the following steps: loading yaml configuration files to corresponding template programs, making container images, pushing the images to a private image warehouse, meanwhile making k8s minor deployment yaml files, uploading the minor deployment yaml files to a server where a k8s management client is located through a paramiko, and executing a k8s minor deployment command to generate minor.
Step five: and the data sharing exchange is carried out, the data sharing mechanism completes registration, submits a data sharing authority request, receives shared data after the request passes, selects a data sharing task, carries out data sharing key allocation with the data issuing mechanism, receives data configuration information, and receives data to complete data sharing. All institutions or units to share data need to register users and apply rights first, and the data management main body can receive the shared data after approval.
In the data sharing exchange process, firstly an RSA public key/private key pair is generated, when a data sharing user is registered, the data sharing key is distributed when the data issuing mechanism completes approval, the sharing key is generated through a RSA tool package of python, two pem files of the public key and the private key are generated, the public key is stored by the data issuing mechanism and used for encrypting data, and the private key is provided for the user and the data sharing mechanism and used for decrypting the data.
Considering performance issues, rsa does not encrypt data directly, but rather encrypts data with 3DES, using rsa to encrypt the 3DES cipher. Each data issuing organization that shares out will add a 3des_code field for storing the encrypted password of the data. The process by which the data issuing authority first encrypts the data set includes: the data issuing mechanism firstly reads data of a data set, selects an encryption field through a yaml configuration file, randomly generates 24-bit character strings in the form of ascii characters and numbers as 3DES passwords, encrypts the data of the selected encryption field through the 3DES passwords with the 24-bit password length, encrypts the 24-bit 3DES passwords through a rsa public key file, and adds the encrypted 24-bit 3DES passwords to shared data.
When the user uses the shared data, the encrypted data is decrypted, and the data sharing mechanism decrypts the encrypted data set according to the distributed shared key, wherein the decryption process of the encrypted data set comprises the following steps: and decrypting the data of the 3DES_CODE through a rsa private key distributed by the data distribution mechanism, obtaining a 3DES password, decrypting the encrypted data set by using a 3DES decryption algorithm, and obtaining the decrypted data set.
In the invention, as shown in fig. 2, a system for sharing data based on metadata is provided, which comprises a data initialization module, a data set configuration module, a data sharing task configuration module, a task release module and a data sharing management module. The data initializing module is used for reading the table and ER relation of the database, generating basic metadata, annotating and adding the metadata, establishing the ER relation, and deleting useless table and field in the metadata.
The data set configuration module is used for acquiring the page data resource catalog and generating query sql of the data set according to the mapping relation between the data resource catalog and the table in the database.
And the data sharing task configuration module is used for constructing a dataFrame of a pandas for each data set, associating a plurality of data sets through the dataFrame, and configuring the plurality of associated data sets in one data sharing task.
The task issuing module is used for selecting a data issuing mode, loading yaml configuration files to corresponding template programs, making container images, pushing the images to a private image warehouse, selecting a deployment mode to deploy corresponding data sharing programs and issuing data sharing tasks.
And the data sharing management module is used for providing registration and data sharing authority request submitting service for the data sharing mechanism, and approving the data sharing request and managing the sharing data transmission.
The foregoing has shown and described the basic principles and main features of the present invention and the advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. A method for data sharing based on metadata, comprising the steps of:
step one: initializing data resources, namely reading a table of a database and ER (ER) relations through a data resource initializing subroutine to form basic metadata, adding comments to the metadata, establishing the ER relations, and deleting useless tables and fields in the metadata;
step two: configuring a data set, acquiring a page data resource directory, generating a query sql of the data set according to the mapping relation between the data resource directory and the table in the database, and configuring the sql to generate the data set;
step three: configuring a data sharing task, constructing a dataFrame of a pandas for each data set, associating a plurality of data sets through the dataFrame, and configuring the plurality of associated data sets in the data sharing task;
step four: issuing a data sharing task, selecting a data issuing mode, loading yaml configuration files to corresponding template programs, making container images, pushing the images to a private image warehouse, selecting a deployment mode to deploy corresponding data sharing programs, and issuing the data sharing task;
step five: the data sharing exchange is carried out by the data issuing mechanism, the data set is firstly encrypted, the data sharing mechanism completes registration and submits a data sharing authority request, the data sharing mechanism receives shared data to select a data sharing task after the request passes, data sharing key distribution is carried out between the data sharing mechanism and the data issuing mechanism, data configuration information is received, the encrypted data set is decrypted according to the distributed shared key, and the decrypted data set is loaded in an inert loading mode to complete data sharing.
2. The method for sharing data based on metadata according to claim 1, wherein the data publishing mode in the fourth step includes a RESTFul interface pushing mode, a library table pushing mode and a message pushing mode;
the RESTFul interface pushing mode adopts a configuration program to read sql corresponding to the data set, and then the sql is written into a yaml configuration file of the RESTFul interface;
the library table pushing mode can simultaneously configure the number of ETL nodes, the concurrency number of each node and the execution plan by reading sql of the data set, and write configuration data into the yaml configuration file of the ETL program;
the message pushing mode firstly configures a pushed data set, configures message reading frequency and a target-end message middle type, and writes configuration data into a yaml configuration file of a message pushing program.
3. The method for sharing data based on metadata according to claim 1, wherein the deployment mode of the data sharing program in the fourth step includes container deployment and k8s deployment; the container deployment is used for deploying data sharing tasks published by a library table pushing mode and a message pushing mode; and the k8s deployment is used for deploying the data sharing task published by the RESTFul interface pushing method in a cluster mode.
4. A method for sharing data based on metadata according to claim 3, wherein the deployment procedure of the container deployment specifically comprises: and loading yaml configuration files to corresponding template programs, making container images, pushing the container images to a private image warehouse, and manually designating or automatically distributing the container images through a paramiko ssh.
5. A method for sharing data based on metadata according to claim 3, wherein the deployment procedure of the k8s deployment specifically comprises: loading yaml configuration files to corresponding template programs, making container images, pushing the images to a private image warehouse, meanwhile making k8s minor deployment yaml configuration files, uploading the minor deployment yaml configuration files to a server where a k8s management client is located through a paramiko, and executing a k8s minor deployment command to generate minor.
6. The method for sharing data based on metadata according to claim 1, wherein the step five of the data issuing authority first encrypts the data set includes: the data issuing mechanism firstly reads data of a data set, selects an encryption field through a yaml configuration file, randomly generates 24-bit character strings in the form of ascii characters and numbers as 3DES passwords, encrypts the data of the selected encryption field through the 3DES passwords with the 24-bit password length, encrypts the 24-bit 3DES passwords through a rsa public key file, and adds the encrypted 24-bit 3DES passwords to shared data.
7. The method of claim 1, wherein the step five of the data sharing mechanism decrypting the encrypted data set according to the assigned shared key comprises: and decrypting the data of the 3DES_CODE through a rsa private key distributed by the data distribution mechanism, obtaining a 3DES password, decrypting the encrypted data set by using a 3DES decryption algorithm, and obtaining the decrypted data set.
8. A system for sharing data based on metadata, for implementing a method for sharing data based on metadata as claimed in any one of claims 1 to 7, comprising
The data initialization module is used for reading the table and ER relation of the database, generating basic metadata, annotating and adding the metadata, establishing the ER relation, and deleting useless table and field in the metadata;
the data set configuration module is used for acquiring the page data resource catalog and generating query sql of the data set according to the mapping relation between the data resource catalog and the table in the database;
the data sharing task configuration module is used for constructing a dataFrame of a pandas for each data set, associating a plurality of data sets through the dataFrame, and configuring the plurality of associated data sets in a data sharing task;
the task issuing module is used for selecting a data issuing mode, loading yaml configuration files to corresponding template programs, making container images, pushing the images to a private image warehouse, selecting a deployment mode to deploy corresponding data sharing programs and issuing data sharing tasks;
and the data sharing management module is used for providing registration and data sharing authority request submitting service for the data sharing mechanism, and approving the data sharing request and managing the sharing data transmission.
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