CN114329107A - Multi-data-source joint query method based on global data dictionary - Google Patents
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Abstract
The invention relates to the technical field of data joint query, in particular to a multi-data-source joint query method based on a global data dictionary, which comprises the following steps: the method comprises the steps that different types of databases are corresponded in advance, drivers corresponding to the databases in a driving layer are used for connecting data sources, the data layer carries out primary data integration and cleaning, a data dictionary in the data layer is extracted, the data dictionary extracted from the data layer is used as a layer higher than the data layer, the data dictionary carries out unified management and control on data tables in different data sources, and an application layer adds corresponding indexes to the data tables of different data sources by controlling the data dictionary; in the invention, the data dictionary-based data source joint query method can be used for integrally managing the universe data, so that the problems of database conversion and query waiting are avoided, and various different data sources are conveniently and quickly managed through a uniform application layer, so that the query speed is high, and the data analysis effect is good.
Description
Technical Field
The invention relates to the technical field of data joint query, in particular to a multi-data-source joint query method based on a global data dictionary.
Background
A data dictionary is a collection of descriptions of data objects or items in a data model that facilitates programmers and others needing reference. The first step in analyzing a user-exchanged object system is to identify each object and its relationship to other objects. This process is called data modeling and results in an object relationship graph. After each data object and item has been given a descriptive name, its relationship is described (or is part of a structure that potentially describes the relationship), then the type of data (e.g., text or image, or binary value) is described, all possible predefined values are listed, and a simple textual description is provided. This collection is organized into a book form for reference, called a data dictionary.
Data sources, as the name implies, the source of data is the device or original media that provides the data of some kind that is needed. All information for establishing a database connection is stored in the data source. Just as a file can be found in a file system by specifying the file name, you can find the corresponding database connection by providing the correct data source name.
However, in the current joint query of multiple data sources of the global data dictionary, the heterogeneous problem of different data requires that the data sources must be converted before being used, and one query language can only correspond to the query mode of the query language; and because the data of different dimensionalities are dispersed in different data tables, the query speed is slow, and the data analysis effect is not good.
Disclosure of Invention
Solves the technical problem
Aiming at the defects in the prior art, the invention provides a multi-data source joint query method based on a global data dictionary, which solves the heterogeneous problem existing between the same data, and requires that the data source needs to be converted before being used, and one query language can only correspond to the query mode of the query language; and because the data of different dimensionalities are dispersed in different data tables, the query speed is slow, and the data analysis effect is not good.
Technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
the multi-data-source joint query method based on the global data dictionary comprises the following steps:
s1: the method comprises the steps that different types of databases are corresponded in advance, and a data source is connected by using a driver corresponding to the database in a driving layer;
s2: the data layer carries out primary data integration and cleaning, and a data dictionary in the data layer is extracted;
s3: according to the data dictionary extracted from the data layer of S2, the data dictionary is used as a layer higher than the data layer, and the data dictionary is used for uniformly managing and controlling data tables in different data sources;
s4: the application layer adds corresponding indexes to data tables of different data sources by controlling the data dictionary;
s5: in the application layer, the required data is inquired through the data dictionary, and the joint inquiry is carried out according to the associated fields.
Furthermore, different data sources and corresponding driving configurations in the driving layer are dynamically added to enable the data sources to be transversely expanded, and the driving layer comprises drivers corresponding to the different data sources and is used for communication work between the data layer and the database.
Still further, the databases are used for the warehouse of organizing, storing and managing data according to data structures, and long-term storage of organized, sharable, uniformly managed collections of large amounts of data within computers, including but not limited to, the types MySQL, Oracle database, Sybase and fosshub.
Furthermore, the data source is a source of database data, which is used for providing devices or original media of required data for joint query of various data sources, and the data source stores connection information established by the database, and the various data sources implement joint query according to the associated fields.
Further, the data dictionary is used for defining and describing data items, data structures, data streams, data storage and processing logic of data in the database, and aims to make detailed description on each element in the data flow chart, so that the data flow chart is a simple modeling item.
Further, the data table is used for temporarily storing data, and unified management is carried out on the data tables in different data sources through data dictionary control.
Furthermore, the index is used for sequencing one or more columns of values added in the data tables of different data sources, the index is added in the data tables of different data sources through the application layer control data dictionary, the application layer performs parameter query based on the associated fields, joint query is performed on various data sources according to the associated fields, and the query is combined into one data source.
Furthermore, the data sources used by the metadata database in the database area are stored in a filing mode, the connection character strings are stored, the connection character strings are extracted for use, and meanwhile, the application layer visually adds and deletes the data of the data sources in the database, so that the purpose of data source management is achieved.
Furthermore, the attributes of the data tables and columns in the data dictionary are used for providing services for modifying the structural data of the data tables, and the information in the data tables is formatted through a customized expression.
Furthermore, the joint query of the data dictionary is used for matching with corresponding drivers in various data source connection access driver layers and constructing a program for performing multi-data source joint query, the data dictionary is extracted from the data layer and serves as a layer higher than the data layer, the database table is managed and controlled through the data dictionary, and the application program, the data source and the data table in the data source are further separated.
Advantageous effects
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
1. the invention relates to a global data dictionary-based joint query method, which is matched with a plurality of data source connection access drivers to construct software for carrying out multi-data source joint query, extracts a data dictionary from a data layer to serve as a higher layer, manages and controls a database table through the data dictionary, and realizes the separation work of an application program, the data source and the data table in the data source; the application layer uses the associated field as a parameter to query, joint query is carried out on various data sources according to the associated field, the data sources are combined into one data source during query, and then the query does not need to be converted again after the data of the data source is updated every time through the parameter query, so that the joint query of various data sources is improved.
2. In the invention, the data dictionary-based data source joint query method can be used for integrally managing the universe data, so that the problems of database conversion and query waiting are avoided, and various different data sources are conveniently and quickly managed through a uniform application layer, so that the query speed is high, and the data analysis effect is good.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a flow chart of a multi-data source joint query method according to the present invention;
FIG. 2 is a flow chart of a multi-data source joint query system according to the present invention;
FIG. 3 is a diagram illustrating database data import according to the present invention;
FIG. 4 is a diagram illustrating basic information associated with a creation table according to the present invention;
FIG. 5 is a diagram illustrating creating a dataset table association according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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. It is to be understood that the embodiments described are only a few embodiments of the present invention, and 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 invention.
The present invention will be further described with reference to the following examples.
Example 1
The method for jointly querying multiple data sources based on the global data dictionary, as shown in fig. 1, includes the following steps:
s1: the method comprises the steps that different types of databases are corresponded in advance, and a data source is connected by using a driver corresponding to the database in a driving layer;
s2: the data layer carries out primary data integration and cleaning, and a data dictionary in the data layer is extracted;
s3: according to the data dictionary extracted from the data layer of S2, the data dictionary is used as a layer higher than the data layer, and the data dictionary is used for uniformly managing and controlling data tables in different data sources;
s4: the application layer adds corresponding indexes to data tables of different data sources by controlling the data dictionary;
s5: in the application layer, the required data is inquired through the data dictionary, and the joint inquiry is carried out according to the associated fields.
In the embodiment, the data dictionary-based data source joint query method can be used for integrally managing the universe data, the problems of database conversion and query waiting are avoided, various different data sources are conveniently and quickly managed through a uniform application layer, and therefore the query speed is high, and the data analysis effect is good.
In the invention, a combined query method based on a global data dictionary is matched with a plurality of data source connection access drivers to construct software for carrying out multi-data source combined query, the data dictionary is extracted from a data layer to serve as a higher layer, and a database table is managed and controlled through the data dictionary to realize the separation work of an application program, the data source and the data table in the data source; the application layer uses the associated field as a parameter to query, joint query is carried out on various data sources according to the associated field, the data sources are combined into one data source during query, and then the query does not need to be converted again after the data of the data source is updated every time through the parameter query, so that the joint query of various data sources is improved.
Example 2
As shown in fig. 2 to 5, the dynamic addition of different data sources and corresponding driver configurations in the driver layer makes the data sources laterally expand, and the driver layer includes drivers corresponding to the different data sources and used for communication between the data layer and the database.
The database of the present embodiment is used for organizing, storing and managing a warehouse of data according to a data structure, and storing organized, sharable and uniformly managed collections of a large amount of data in a computer for a long time, and includes but is not limited to MySQL, Oracle database, Sybase and fosshub types.
The data source of the embodiment is a source of database data, and is used for providing devices or original media of required data for joint query of various data sources, connection information established by the database is stored in the data source, and the various data sources implement the joint query according to the associated fields.
The data dictionary of the embodiment is used for defining and describing data items, data structures, data streams, data storage and processing logic of data in the database, and aims to describe each element in the data flow chart in detail so as to be a simple modeling item.
The data table of the embodiment is used for temporarily storing data, and unified management is implemented on the data tables in different data sources through data dictionary control.
In the invention, a combined query method based on a global data dictionary is matched with a plurality of data source connection access drivers to construct software for carrying out multi-data source combined query, the data dictionary is extracted from a data layer to serve as a higher layer, and a database table is managed and controlled through the data dictionary to realize the separation work of an application program, the data source and the data table in the data source; the application layer uses the associated field as a parameter to query, joint query is carried out on various data sources according to the associated field, the data sources are combined into one data source during query, and then the query does not need to be converted again after the data of the data source is updated every time through the parameter query, so that the joint query of various data sources is improved.
Example 3
As shown in fig. 2 to 5, the index is used to order the values added in one or more columns in the data tables of different data sources, and the index is added in the data tables of different data sources through the application layer control data dictionary, the application layer performs parameter query based on the associated fields, and performs joint query on multiple data sources according to the associated fields, and the query is combined into one data source.
In the embodiment, the data sources used by the metadata database in the database area are stored in a filing mode, the connection character strings are stored, and the connection character strings are extracted for use, and meanwhile, the application layer visually adds and deletes the data of the data sources in the database, so that the aim of managing the data sources is fulfilled.
The attributes of the data table and the columns in the data dictionary are used for providing a service of modifying the structural data of the data table, and the information in the data table is formatted through a self-defined expression.
The joint query of the data dictionary is used for matching with corresponding drivers in various data source connection access driver layers and constructing a program for performing multi-data source joint query, the data dictionary is extracted from the data layer and serves as a layer higher than the data layer, the database table is managed and controlled through the data dictionary, and the application program, the data source and the data table in the data source are further separated.
In the invention, the data dictionary-based data source joint query method can be used for integrally managing the universe data, so that the problems of database conversion and query waiting are avoided, and various different data sources are conveniently and quickly managed through a uniform application layer, so that the query speed is high, and the data analysis effect is good.
In conclusion, the universal data dictionary-based joint query method is matched with various data source connection access drivers to construct software for performing multi-data source joint query, the data dictionary is extracted from a data layer to serve as a higher-level layer, and a database table is managed and controlled through the data dictionary, so that the work of separating an application program from the data source and the data table in the data source is realized; the application layer uses the associated field as a parameter to query, joint query is carried out on various data sources according to the associated field, the data sources are combined into one data source during query, and then the query does not need to be converted again after the data of the data source is updated each time through the parameter query, so that the joint query of various data sources is improved; by the data source joint query method based on the data dictionary, the whole domain data can be managed, the problems of database conversion and query waiting are avoided, various different data sources are managed conveniently and quickly through a uniform application layer, and therefore query speed is high, and a data analysis effect is good.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; 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 depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. The method for jointly querying the multiple data sources based on the global data dictionary is characterized by comprising the following steps of:
s1: the method comprises the steps that different types of databases are corresponded in advance, and a data source is connected by using a driver corresponding to the database in a driving layer;
s2: the data layer carries out primary data integration and cleaning, and a data dictionary in the data layer is extracted;
s3: according to the data dictionary extracted from the data layer of S2, the data dictionary is used as a layer higher than the data layer, and the data dictionary is used for uniformly managing and controlling data tables in different data sources;
s4: the application layer adds corresponding indexes to data tables of different data sources by controlling the data dictionary;
s5: in the application layer, the required data is inquired through the data dictionary, and the joint inquiry is carried out according to the associated fields.
2. The method as claimed in claim 1, wherein the dynamic addition of different data sources and corresponding driver configurations in the driver layer causes the data sources to be laterally expanded, and the driver layer includes drivers corresponding to the different data sources and is used for communication between the data layer and the database.
3. The method for unified query from multiple data sources based on global data dictionary as claimed in claim 1, wherein said database is used for organizing, storing and managing warehouse of data according to data structure and storing organized, sharable, unified management collection of massive data in computer for long term, said database includes but not limited to MySQL, Oracle database, Sybase and fosshub.
4. The method as claimed in claim 1, wherein the data source is a source of database data, which is used to provide a device or original media of the required data for the joint query of the data sources, and the data sources store the connection information established by the database, and the joint query of the data sources is implemented according to the associated fields.
5. The method for joint query of multiple data sources based on global data dictionary as claimed in claim 1, wherein the data dictionary is used for defining and describing data items, data structures, data streams, data storage and processing logic of data in database, and the purpose is to make detailed description of each element in data flow chart so as to make it a simple modeling item.
6. The method as claimed in claim 1, wherein the data table is used for temporarily storing data, and the data tables in different data sources are managed uniformly under the control of the data dictionary.
7. The method as claimed in claim 1, wherein the index is used to order one or more rows of values added to the data tables of different data sources, and the index is added to the data tables of different data sources through an application layer controlling the data dictionary, and the application layer performs parameter query based on the associated fields, performs joint query on multiple data sources according to the associated fields, and combines the query into one data source.
8. The method as claimed in claim 1, wherein the data sources used by the metadata database in the database area are stored in a filing manner, the connection character strings are stored, and when the connection character strings are extracted for use, the application layer visually adds or deletes the data sources in the database, thereby implementing the purpose of data source management.
9. The method as claimed in claim 1, wherein the attributes of the tables and columns in the data dictionary are used to provide services for modifying the structure data of the tables, and the information in the tables is formatted by a customized expression.
10. The method as claimed in claim 1, wherein the joint query of the data dictionary is used to cooperate with various data sources to connect and access corresponding drivers in the driver layer, and construct a program for performing the joint query of multiple data sources, the data dictionary is extracted from the data layer and serves as a higher layer than the data layer, and the database table is managed and controlled by the data dictionary, so as to further perform separation work on the application program, the data source, and the data table in the data source.
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