CN112527876A - Unified database access system based on multi-source heterogeneous data analysis - Google Patents
Unified database access system based on multi-source heterogeneous data analysis Download PDFInfo
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- G06—COMPUTING; CALCULATING OR COUNTING
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- 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
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
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- G06F9/46—Multiprogramming arrangements
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- G06F9/547—Remote procedure calls [RPC]; Web services
Abstract
The invention discloses a unified database access system based on multi-source heterogeneous data analysis, which is characterized in that a collector, a state server and an access tool are connected together based on a distributed message component, and the system comprises a plurality of key groups, and comprises the following components: collecting a group, an election group and a notification group; through establishing a logic database, a plurality of databases are gathered in the same logic database, and a standard JDBC driver is provided. Establishing connection with different types of databases, and realizing correlation query across databases physically through operation on a logic database, thereby realizing uniform access of multi-source heterogeneous databases, completing data fusion analysis, and providing a uniform inlet for applications to simultaneously access various types of databases; the method realizes unified metadata management, SQL request analysis, SQL statement conversion, distributed query, multi-source combined query and database connection proxy.
Description
Technical Field
The invention relates to the technical field of data access, in particular to a unified database access system based on multi-source heterogeneous data analysis.
Background
In China, with the development of technologies such as data mining and big data analysis. Data analysis scenes are increasingly complex, multi-source data such as structured data, unstructured data and measurement data are often required to be analyzed simultaneously, and a targeted database includes different architectures such as relational and non-relational, clustered and distributed.
The analysis scenes of multiple sources and different architectures bring difficulties to data association analysis, a plurality of database interaction clients need to be used for acquiring data, an effective, timely and reliable data synchronization fusion analysis technology is lacked, and the real-time performance and accuracy of data analysis are affected.
Disclosure of Invention
The technical problem to be solved by the invention is that the analysis scene of multi-source and different architectures is not beneficial to data association analysis, and the invention aims to provide a unified database access system based on multi-source heterogeneous data analysis, and realize that the configuration of the multi-source heterogeneous database is accessed to the same logic database by constructing the logic database.
The invention is realized by the following technical scheme:
a unified database access system based on multi-source heterogeneous data analysis is based on a distributed message component, a collector, a state server and an access tool are connected together, and the system is composed of several key groups, including: collecting a group, an election group and a notification group;
collecting a group: finishing data acquisition operation, wherein the acquisition group comprises a plurality of collectors and a plurality of state servers, and the collectors and the state servers are interacted in corresponding groups;
selecting a group: when a plurality of state servers exist, one main state server needs to be elected to complete work, and meanwhile, when one elected main state server fails, another main state server can be elected;
and informing the group: completing application authentication operation and data change notification operation, wherein the application authentication operation and the data change notification operation comprise a plurality of uniform data access components (SDKs); when the data notification is completed, an instruction is sent to the client in the notification group.
Further, an application management function is provided, and when the application loads the unified database for access, application authentication is carried out with unified metadata management; the application authentication operation process comprises the following steps: through the configuration of the SDK corresponding to the distributed message components, the service application establishes connection with the state server through the distributed message components when the SDK is started and loaded; the SDK informs the application ID information of the SDK through RPC communication, and authentication is carried out in a state server; after the state server completes authentication, the state server returns the metadata of the SDK self application; meanwhile, after the state server completes authentication, a notification group needing data monitoring is returned; and the SDK constructs own data cache according to the returned metadata and simultaneously adds the data cache into a corresponding group on the distributed message component according to the notification group information.
Further, the data acquisition operation process comprises:
when the collector operates, the distributed message component and the state server are used for establishing connection and adding the connection into the data collection group; when the application of the state server is started, the application of the state server can be automatically created and added into the data acquisition group;
the collector regularly collects data required to be collected by the collector: the survival state of the database and the survival information of the query engine send data to the acquisition group;
the state servers in the collection Group receive the data, and the main state server generated by the election Group elects persists the data into a Group data Group Store, so that data loss is avoided; wherein all state servers are automatically created and joined into the election group upon startup.
Further, the data change notification operation process includes:
the state server finds out a related notification group according to the changed data, and simultaneously sends the changed data to the related notification group; the SDKs belonging to the associated notification group receive the data notification, and the SDKs update the internal cache data.
Further, the collector collects data source metadata, database state data and query engine state data; the method for constructing the logic database realizes configuration and access of the multi-source heterogeneous database to the same logic database, has the advantages of flexibly creating, modifying and dynamically publishing a logic view of data, realizes cross-database combined query and analysis of the multi-source heterogeneous data, isolates direct connection relation between services and the database, improves data safety level, realizes unified access of the database, and solves the problem of difficult fusion analysis and sharing use of cross-professional data.
Compared with the prior art, the invention has the following advantages and beneficial effects:
a unified database access system based on multi-source heterogeneous data analysis realizes configuration and access of a multi-source heterogeneous database to the same logic database, has a logic view for flexibly creating, modifying and dynamically releasing data, realizes cross-database combined query and analysis of multi-source heterogeneous data, isolates direct connection relation between services and databases, improves data safety level, realizes unified access of the databases, and solves the problem of difficult fusion analysis and sharing use of cross-professional data.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a schematic diagram of the unified database access technique of the present invention.
FIG. 2 is a diagram illustrating application authentication according to the present invention.
FIG. 3 is a schematic diagram of data acquisition according to the present invention.
FIG. 4 is a diagram illustrating data change notification according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be apparent to one of ordinary skill in the art that: it is not necessary to employ these specific details to practice the present invention. In other instances, well-known structures, circuits, materials, or methods have not been described in detail so as not to obscure the present invention.
Throughout the specification, reference to "one embodiment," "an embodiment," "one example," or "an example" means: the particular features, structures, or characteristics described in connection with the embodiment or example are included in at least one embodiment of the invention. Thus, the appearances of the phrases "one embodiment," "an embodiment," "one example" or "an example" in various places throughout this specification are not necessarily all referring to the same embodiment or example. Furthermore, the particular features, structures, or characteristics may be combined in any suitable combination and/or sub-combination in one or more embodiments or examples. Further, those of ordinary skill in the art will appreciate that the illustrations provided herein are for illustrative purposes and are not necessarily drawn to scale. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
In the description of the present invention, it is to be understood that the terms "front", "rear", "left", "right", "upper", "lower", "vertical", "horizontal", "high", "low", "inner", "outer", etc. indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and therefore, are not to be construed as limiting the scope of the present invention.
Examples
As shown in fig. 1, the present invention is a unified database access system based on multi-source heterogeneous data analysis, and aims to implement configuration and access of a multi-source heterogeneous database to the same logical database by a method for constructing a logical database, and has a logical view for flexibly creating, modifying and dynamically publishing data, implement cross-database joint query analysis of multi-source heterogeneous data, isolate direct connection relationship between services and databases, improve data security level, and implement unified access of databases, thereby solving the problem of difficulty in fusion analysis and sharing use of cross-professional data.
Through establishing a logic database, a plurality of databases are gathered in the same logic database, and a standard JDBC driver is provided. Establishing connection with different types of databases, and realizing correlation query across databases physically through operation on a logic database, thereby realizing uniform access of multi-source heterogeneous databases, completing data fusion analysis, and providing a uniform inlet for applications to simultaneously access various types of databases; the method realizes unified metadata management, SQL request analysis, SQL statement conversion, distributed query, multi-source combined query and database connection proxy.
(1) Unified metadata management
Collecting metadata of a data source (a database, a table, a base table definition and the like of a database), database state (survival information), query engine state (availability state caused by hardware errors, network errors, software problems and the like), and the like;
realizing unified name space management of the library table (mapping from the actual library and the table to the internal library table of the platform, and global unified name space) and table definition mapping management; and managing information such as mapping relation from the database to the actual physical node, database type, survival state, master-slave identification and the like.
(2) SQL request analysis
And (3) carrying out deep recognition and analysis on the SQL by adopting a self-owned lexical method and grammatical analysis, finishing marking the operation, the corresponding base table and the query condition (especially aiming at the characteristics of the position of the data) in the SQL request, and generating an execution plan tree.
(3) SQL statement translation
The base table mapping technology flexibly converts base table definitions of different databases into platform structures, and the field type mapping technology converts and defines different data types (particularly complex data types). It is ensured that multiple databases can be accessed simultaneously (including single-library or cross-library join queries).
(4) Distributed querying
The distributed query technology is used for processing a query request in multiple steps of preprocessing, task scheduling, result summarizing and the like, and meets the real-time performance of the query request.
Preprocessing is a series of processes for generating tasks based on the execution of a plan tree in combination with the characteristics of the actual data source (using the distributed storage short-circuit characteristics such as HDFS, MongoDB, etc.).
Task scheduling is to allocate tasks to specific executors for execution, and the tasks load data quickly and execute operations according to a Native data access mode of a data source (for example, HDFS directly accesses data blocks, but does not access data through HDFS API).
Result summarization is a process of quickly performing result synthesis to return data request results according to the results of each specific subtask.
(5) Multi-source federated queries
Shielding database differences by using a database drive and a unified data Schema mapping technology; generating an execution plan tree, respectively inquiring and processing different data sources on different nodes, returning a comprehensive result, and satisfying the same request to carry out combined inquiry on different database sources.
(6) Database connection broker
The connection agent establishes a bridge between the application and the physical database, provides a uniform interface service for the outside, and the application only needs to pay attention to the connection agent without paying attention to the actually executed physical database.
The connection broker dynamically manages the connections of the physical databases according to SQL requests executed by the applications. A connection broker may access multiple physical databases simultaneously, and will dynamically determine the physical database for SQL execution based on the SQL routing algorithm.
The collector, the state server, and the access tool are connected together based on a distributed message component. There are several key groups:
(1) collecting a group: i.e. all collectors and state servers will be in the corresponding group.
(2) Selecting a group: when a plurality of state servers exist, one main state server needs to be elected to complete work, and meanwhile, one main state server can be rapidly elected again after the main state server fails.
(3) And informing the group: when the data changes, the related person is notified in the notification group.
1. Application authentication procedure
And providing an application management function, and carrying out application authentication with unified metadata management when the application loads the unified database for access. The application authentication process is schematically shown in fig. 2:
(1) through the configuration of the SDK corresponding to the distributed message component, the service application establishes connection with the state server through the distributed message component when the SDK is started and loaded.
(2) The SDK informs information such as application ID of the SDK through RPC communication, and authentication is carried out in the state server. After the state server completes authentication, the state server returns the metadata which the application should have-and simultaneously returns the notification group which needs to monitor the data.
(3) And the SDK constructs own data cache according to the returned metadata and simultaneously adds the data cache into a corresponding group on the distributed message component according to the notification group information.
2. Data acquisition process
The data acquisition schematic is shown in fig. 3:
(1) when the collector runs, the collector firstly establishes connection with the distributed message component and the state server and simultaneously joins in a data collection group (the application of the state server can be automatically created and joined in the group when being started).
(2) The collector regularly collects the data required to be collected by the collector: such as the survival status of the database, the survival information of the query engine, and send the data to the collection group.
(3) The state servers in the collection group all receive the data, and the main state server generated by election of the election group (all the state servers are automatically created and added into the group when starting) persists the data into the group data (GroupStore), so that data loss is avoided.
3. Data change notification
The main flow of data change notification is shown in fig. 4:
(1) the main state server searches the related notification group according to the changed data.
(2) Changed data is sent to these notification groups.
(3) The SDK belonging to the notification group receives the data, and the SDK completes the updating of the cache data of the SDK.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (5)
1. Unified database access system based on heterogeneous data analysis of multisource, its characterized in that includes: collecting a group, an election group and a notification group;
collecting a group: finishing data acquisition operation, wherein the acquisition group comprises a plurality of collectors and a plurality of state servers, and the collectors and the state servers are interacted in corresponding groups;
selecting a group: when a plurality of state servers exist, one main state server needs to be elected to complete work, and meanwhile, when one elected main state server fails, another main state server can be elected;
and informing the group: completing application authentication operation and data change notification operation, wherein the application authentication operation and the data change notification operation comprise a plurality of uniform data access components (SDKs); when the data notification is completed, an instruction is sent to the client in the notification group.
2. The unified database access system based on multi-source heterogeneous data analysis of claim 1, wherein the application authentication procedure comprises: through the configuration of the SDK corresponding to the distributed message components, the service application establishes connection with the state server through the distributed message components when the SDK is started and loaded; the SDK informs the application ID information of the SDK through RPC communication, and authentication is carried out in a state server; after the state server completes authentication, the state server returns the metadata of the SDK self application; meanwhile, after the state server completes authentication, a notification group needing data monitoring is returned; and the SDK constructs own data cache according to the returned metadata and simultaneously adds the data cache into a corresponding group on the distributed message component according to the notification group information.
3. The unified database access system based on multi-source heterogeneous data analysis according to claim 1, wherein the data collection operation process comprises:
when the collector operates, the distributed message component and the state server are used for establishing connection and adding the connection into the data collection group; when the application of the state server is started, the application of the state server can be automatically created and added into the data acquisition group;
the collector regularly collects data required to be collected by the collector: the survival state of the database and the survival information of the query engine send data to the acquisition group;
the state servers in the collection Group receive the data, and the main state server generated by the election Group elects persists the data into a Group data Group Store; wherein all state servers are automatically created and joined into the election group upon startup.
4. The unified database access system based on multi-source heterogeneous data analysis according to claim 1, wherein the data change notification operation process comprises:
the state server finds out a related notification group according to the changed data, and simultaneously sends the changed data to the related notification group; the SDK of the related notification group receives the data notification, and the SDK completes the updating of the internal cache data.
5. The unified database access system based on multi-source heterogeneous data analysis of claim 2, wherein the collector collects data source metadata, database state data and query engine state data.
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