Standardized data storage database

Abstract

The invention discloses a standardized data storage database which comprises a main control unit, and the main control unit is connected with a performance optimization unit which improves the performance of JOIN operation through an index and query optimization technology and accelerates the database; the simple unit is used for simplifying complex data query and simplifying application program development; the parallel connection unit is used for connecting part of anti-standardized and frequently connected data in parallel, so that the requirement of JOIN operation is reduced, and the aim of accelerating query is fulfilled; the development unit is used for providing a clear data access layer, hiding a complex database structure and query details and simplifying an application program development process; in the invention, the database design not only considers the idea of standardization, but also carries out moderate anti-standardization and optimization according to specific conditions, so as to balance the query performance, data integrity and complexity of application program development, and overcome the defects of the existing database in use.

Description

Technical Field

[0001] The invention belongs to the technical field of databases, and in particular relates to a standardized data storage database. Background Art

[0002] Database technology and systems have become the core technology and important foundation of information infrastructure. As the most effective means of data management, database technology has greatly promoted the development of computer applications. Database technology is mainly used to solve non-numerical computing problems in data processing. The main content of data processing is data storage, query, modification, sorting and statistics.

[0003] However, the current storage database has the following problems:

[0004] 1. Performance issues: Standardized database design often results in data being scattered across multiple tables, requiring JOIN operations to retrieve related data, which can affect query performance, especially when processing large amounts of data.

[0005] 2. Complexity: Standardized design usually requires multiple tables and complex relationships to ensure data integrity and consistency. This increases the complexity of the database and makes the data model difficult to understand and maintain.

[0006] 3. Redundant data: Although standardization can reduce data redundancy, sometimes JOIN operations between multiple tables are required to obtain complete information, which may lead to inefficient queries and additional complexity.

[0007] 4. Application development complexity: Application developers need to deal with the relationship between multiple tables and write complex SQL queries to obtain the required data. This increases the development workload and the possibility of errors.

[0008] 5. Difficulty in performance tuning: When the database grows and the load increases, complex performance optimization is required to improve query efficiency and response time, which may be more difficult than non-standardized design.

[0009] 6. Data integrity and consistency risks: Complex relationships between multiple tables may increase the risk of data integrity and consistency. If update or delete operations are not performed correctly, data inconsistency or loss may occur.

[0010] 7. Scalability limitations: Standardized design may limit the scalability of the database, especially when the data structure needs to be frequently modified or new features need to be added.

[0011] 8. Query efficiency issues: JOIN operations are often required to obtain complete information, which may affect the query response time and efficiency, especially on large data sets. Summary of the invention

[0012] The object of the present invention is to provide a standardized data storage database to solve the problems of poor performance and low efficiency of current databases mentioned in the above background technology.

[0013] To achieve the above object, the present invention provides the following technical solution: a standardized data storage database, including a main control unit, connected to the main control unit:

[0014] Performance optimization unit, which improves the performance of JOIN operations and speeds up the database through index and query optimization techniques;

[0015] Simple units are used to simplify complex data queries and simplify application development;

[0016] The parallel unit connects some de-standardized and frequently connected data in parallel, reducing the need for JOIN operations and accelerating queries;

[0017] Development unit, which is used to provide a clear data access layer, hide complex database structure and query details, and simplify the application development process;

[0018] Data detection unit to ensure data integrity and consistency and reduce risks caused by complex data relationships;

[0019] Extension unit; achieves scalability of the entire database and reduces the need for frequent modifications to the database structure.

[0020] As a preferred technical solution of the present invention, the performance optimization module includes an index module and a buffer module for accelerating query by caching query results, wherein

[0021] Use of indexes: Make sure to create indexes on the join fields, which are usually foreign keys or columns that are frequently used for joins. Use composite indexes to cover the join conditions and reduce the amount of data that the database retrieves.

[0022] Query optimization techniques:

[0023] Query rewrite: Analyze the query plan and try to rewrite the query to reduce the number of JOINs or optimize the order of JOINs;

[0024] Stored procedure: Package commonly used complex queries or data operations in stored procedures to reduce network transmission overhead and improve performance;

[0025] Database engine and configuration optimization: Configure appropriate parameters and caches according to the characteristics of the specific database system to improve query performance; ensure that the database server has sufficient memory and computing resources to process complex JOIN queries.

[0026] As a preferred technical solution in the present invention, the simple unit includes a view module that uses views to intuitively display complex query processes, and an encapsulation module that encapsulates complex JOINs in a stored procedure.

[0027] As a preferred technical solution in the present invention, the parallel unit includes a classification storage module that stores de-standardized and frequently connected data in the same table, and an acceleration module that uses database characteristics for acceleration; the classification storage module includes:

[0028] Redundant data storage module, which contains data required for common queries and contains copies of data obtained from different tables to avoid frequent JOIN operations;

[0029] The cache module is used to store the results of frequent queries, reduce the number of database queries, and reduce the database load and response time;

[0030] The calculation module wraps complex JOIN queries in stored procedures or functions. The stored procedures can provide pre-calculated results to avoid re-executing complex JOIN operations for each query.

[0031] The partitioning module partitions data according to access patterns to reduce the amount of data that needs to be joined when querying. For example, partitioning data by time range or geographic location can limit queries to data within a specific partition, reducing full table scans and cross-partition JOIN operations.

[0032] As a preferred technical solution in the present invention, the development unit includes a development module and a query module providing a data query function.

[0033] As a preferred technical solution in the present invention, the data detection unit includes a constraint module for ensuring data integrity and consistency, and a trigger module.

[0034] As a preferred technical solution in the present invention, the extension unit includes a microservice architecture and a service-oriented architecture (SOA) architecture.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] In the present invention, the database design not only considers the concept of standardization, but also performs appropriate de-standardization and optimization according to specific circumstances to balance query performance, data integrity and the complexity of application development, thereby improving the deficiencies of existing databases in use. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a database system diagram of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] See also Figure 1 The present invention provides a technical solution: a standardized data storage database, including a main control unit, connected to the main control unit:

[0040] Performance optimization unit, which improves the performance of JOIN operations and speeds up the database through index and query optimization techniques;

[0041] Simple units are used to simplify complex data queries and simplify application development;

[0042] The parallel unit connects some de-standardized and frequently connected data in parallel, reducing the need for JOIN operations and accelerating queries;

[0043] Development unit, which is used to provide a clear data access layer, hide complex database structure and query details, and simplify the application development process;

[0044] Data detection unit to ensure data integrity and consistency and reduce risks caused by complex data relationships;

[0045] Extension unit; achieves scalability of the entire database and reduces the need for frequent modifications to the database structure.

[0046] In this embodiment, the performance optimization module includes an index module and a buffer module that accelerates query by caching query results.

[0047] Use of indexes: Make sure to create indexes on the join fields, which are usually foreign keys or columns that are frequently used for joins. Use composite indexes to cover the join conditions and reduce the amount of data that the database retrieves.

[0048] Query optimization techniques:

[0049] Query rewrite: Analyze the query plan and try to rewrite the query to reduce the number of JOINs or optimize the order of JOINs;

[0050] Stored procedure: Package commonly used complex queries or data operations in stored procedures to reduce network transmission overhead and improve performance;

[0051] Database engine and configuration optimization: Configure appropriate parameters and caches according to the characteristics of the specific database system to improve query performance; ensure that the database server has sufficient memory and computing resources to process complex JOIN queries.

[0052] In this embodiment, the simple unit includes a view module that uses views to intuitively display complex query processes, and an encapsulation module that encapsulates complex JOINs in stored procedures.

[0053] In this embodiment, the parallel connection unit includes a classification storage module that stores de-standardized and frequently connected data in the same table, and an acceleration module that uses database characteristics for acceleration; the classification storage module includes:

[0054] Redundant data storage module, which contains data required for common queries and contains copies of data obtained from different tables to avoid frequent JOIN operations;

[0055] The cache module is used to store the results of frequent queries, reduce the number of database queries, and reduce the database load and response time;

[0056] The calculation module wraps complex JOIN queries in stored procedures or functions. The stored procedures can provide pre-calculated results to avoid re-executing complex JOIN operations for each query.

[0057] The partitioning module partitions data according to access patterns to reduce the amount of data that needs to be joined when querying. For example, partitioning data by time range or geographic location can limit queries to data within a specific partition, reducing full table scans and cross-partition JOIN operations.

[0058] In this embodiment, the development unit includes a development module and a query module that provides a data query function.

[0059] In this embodiment, the data detection unit includes a constraint module for ensuring data integrity and consistency, and a trigger module.

[0060] In this embodiment, the extension unit includes a microservice architecture and a service-oriented architecture (SOA) architecture.

[0061] Although embodiments of the present invention have been shown and described (see the above detailed description for details), it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A standardized data storage database, comprising a main control unit, characterized in that: The main control unit is connected with: Performance optimization unit, which improves the performance of JOIN operations and speeds up the database through index and query optimization techniques; Simple units are used to simplify complex data queries and simplify application development; The parallel unit connects some de-standardized and frequently connected data in parallel, reducing the need for JOIN operations and accelerating queries; Development unit, which is used to provide a clear data access layer, hide complex database structure and query details, and simplify the application development process; Data detection unit to ensure data integrity and consistency and reduce risks caused by complex data relationships; Extension unit; achieves scalability of the entire database and reduces the need for frequent modifications to the database structure.

2. A standardized data storage database according to claim 1, characterized in that: The performance optimization module includes an index module and a buffer module for accelerating query by caching query results. Use of indexes: Make sure to create indexes on the join fields, which are usually foreign keys or columns that are frequently used for joins. Use composite indexes to cover the join conditions and reduce the amount of data that the database retrieves. Query optimization techniques: Query rewrite: Analyze the query plan and try to rewrite the query to reduce the number of JOINs or optimize the order of JOINs; Stored procedure: Package commonly used complex queries or data operations in stored procedures to reduce network transmission overhead and improve performance; Database engine and configuration optimization: Configure appropriate parameters and caches according to the characteristics of the specific database system to improve query performance; ensure that the database server has sufficient memory and computing resources to process complex JOIN queries.

3. A standardized data storage database according to claim 1, characterized in that: The simple unit includes a view module that uses views to intuitively display complex query processes, and an encapsulation module that encapsulates complex JOINs in stored procedures.

4. A standardized data storage database according to claim 1, characterized in that: The parallel connection unit includes a classification storage module for storing denormalized, frequently connected data in the same table, and an acceleration module for accelerating using database characteristics; The classification storage module includes: Redundant data storage module, which contains data required for common queries and contains copies of data obtained from different tables to avoid frequent JOIN operations; The cache module is used to store the results of frequent queries, reduce the number of database queries, and reduce the database load and response time; The calculation module wraps complex JOIN queries in stored procedures or functions. The stored procedures can provide pre-calculated results to avoid re-executing complex JOIN operations for each query. The partitioning module stores data in partitions according to access patterns, reducing the amount of data that needs to be joined during queries and reducing full table scans and cross-partition JOIN operations.

5. A standardized data storage database according to claim 1, characterized in that: The development unit includes a development module and a query module that provides a data query function.

6. A standardized data storage database according to claim 1, characterized in that: The data detection unit includes a constraint module for ensuring data integrity and consistency, and a trigger module.

7. A standardized data storage database according to claim 1, characterized in that: The expansion unit includes a microservice architecture and a service-oriented architecture (SOA) architecture.

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