Rapid and visual data synchronization method based on DataX

Abstract

The invention discloses a rapid visual data synchronization method based on DataX. The method comprises the following steps that S1, a bottom layer achieves database table-to-table data synchronization based on DataX; s2, realizing data synchronization fool-type operation through visual rapid mapping of fields with the same name and the same sequence on the basis of S1; s3, automatically creating data of the same structure table into a temporary table of a target database according to the name and the type of the source table; and S4, based on the capability of the database SQL, realizing data processing in the target database. The method has the following beneficial effects: 1, the data synchronization efficiency is improved: the high efficiency and stability of data synchronization are ensured by taking DataX as a bottom engine, and the overall performance is further improved by multi-task scheduling and resource management; 2, the technical threshold of a user is reduced: a visual field mapping interface and a graphical data processing function are provided, and the user can complete data synchronization operation without compiling a complex configuration file and an SQL statement;

Description

Technical Field

[0001] The present invention relates to the technical field of data synchronization, and in particular to a fast visual data synchronization method based on DataX. Background Art

[0002] In the era of big data, data synchronization is an important part of enterprise data management. Traditional data synchronization methods usually require writing complex scripts or configuration files, which have high technical requirements on users and are cumbersome to operate. DataX is an open source data synchronization tool that supports data transmission between multiple data sources. However, the configuration and use of DataX are still complex, especially in data field mapping and data processing. Therefore, how to simplify data synchronization operations and improve the efficiency and ease of use of data synchronization has become a problem that needs to be solved urgently. Summary of the invention

[0003] The purpose of the present invention is to provide a fast visual data synchronization method based on DataX to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solution: a method for fast visual data synchronization based on DataX, comprising the following steps: S1: The underlying layer implements data synchronization between database tables based on DataX; S2: Based on S1, it realizes quick visual mapping of fields with the same name and order to achieve fool-proof data synchronization. S3: Automatically create table data with the same structure into a temporary table in the target database based on the source table name and type; S4: Based on the SQL capabilities of the database, data processing is implemented in the target database; S5: Multi-task scheduling and resource management; S6: Data quality detection and verification; S7: Logging and auditing.

[0005] Preferably, in step S1, DataX is used as the underlying data synchronization engine, and the data source and target data source of DataX are configured to ensure that DataX can access these data sources normally, support data transmission between multiple data sources, ensure the efficiency and stability of data synchronization, introduce data transmission monitoring and fault recovery mechanism, start DataX for data synchronization, transfer data in the source table to the temporary table of the target database, monitor the data synchronization status in real time, automatically retry failed tasks, and ensure the reliability of data synchronization.

[0006] Preferably, in step S2, a visual interface is provided, and the user can quickly map the fields in the source table to the target table by dragging and selecting. The system will automatically identify fields with the same name and order, reducing the user's configuration workload, realizing fool-proof operation, supporting field type conversion and formatting, and the user can customize field mapping rules to ensure the accuracy and consistency of data during transmission.

[0007] Preferably, in step S3, before data synchronization, the system will automatically create a temporary table in the target database according to the name and field type of the source table to ensure the consistency of the data structure. This step can avoid the tedious operation of manually creating a table, improve the efficiency of data synchronization, and use dynamic metadata management technology to automatically obtain the structural information of the source table and generate corresponding DDL statements to ensure that the creation process of the temporary table is automated and intelligent.

[0008] Preferably, in step S4, after data synchronization is completed, the system provides an SQL editor, and the user writes SQL statements in the target database to process and handle the synchronized data. This step can meet the user's further needs for data and improve the availability of data. The graphical data processing function is used to select and configure common data processing operations, such as deduplication, filtering, and aggregation. The user selects and configures these operations through a graphical interface without writing complex SQL statements.

[0009] Preferably, in step S5, a multi-task scheduling mechanism is introduced to support parallel data synchronization tasks, improve the overall efficiency of data synchronization, implement resource management functions, dynamically allocate and adjust system resources, and ensure data synchronization performance in high-concurrency scenarios.

[0010] Preferably, in step S6, during the data synchronization process, the system will automatically perform data quality detection, including data integrity, consistency and accuracy checks to ensure the quality of synchronized data and provide a data verification report. Users can view the differences between data before and after synchronization and discover and solve problems in a timely manner.

[0011] Preferably, in step S7, a complete log recording function is provided to record each operation and result of data synchronization, to facilitate troubleshooting and auditing, support log analysis and statistics, and provide rich reports and charts to help users fully understand the status and performance of data synchronization.

[0012] Compared with the prior art, the present invention has the following beneficial effects: 1. Improve data synchronization efficiency: Using DataX as the underlying engine ensures the efficiency and stability of data synchronization. Multi-task scheduling and resource management further improve the overall performance.

[0013] 2. Lower the technical threshold for users: Provide a visual field mapping interface and graphical data processing functions, so users can complete data synchronization operations without writing complex configuration files and SQL statements.

[0014] 3. Automatically create temporary tables: Automatically create temporary tables in the target database based on the structure of the source table, reducing manual operations and improving the efficiency of data synchronization.

[0015] 4. Support data processing: Provide SQL editor and data cleaning functions. Users can process and handle the synchronized data in the target database to meet diverse data needs.

[0016] 5. Data quality assurance: Introduce data quality detection and verification mechanisms to ensure the accuracy and consistency of synchronized data.

[0017] 6. Easy to use: The overall operation process is simple and intuitive, and users can get started quickly and improve work efficiency.

[0018] 7. High reliability: Real-time monitoring and fault recovery mechanisms ensure the reliability of data synchronization, and logging and auditing functions facilitate problem troubleshooting and auditing. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flow chart of the present invention; Figure 2 This is a schematic diagram of visual field mapping of the present invention. DETAILED DESCRIPTION

[0020] 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.

[0021] See also Figure 1-Figure 2 , a fast visual data synchronization method based on DataX, comprising the following steps: S1: The underlying layer implements data synchronization between database tables based on DataX; S2: Based on S1, it realizes quick visual mapping of fields with the same name and order to achieve fool-proof data synchronization. S3: Automatically create table data with the same structure into a temporary table in the target database based on the source table name and type; S4: Based on the SQL capabilities of the database, data processing is implemented in the target database; S5: Multi-task scheduling and resource management; S6: Data quality detection and verification; S7: Logging and auditing.

[0022] In step S1, DataX is used as the underlying data synchronization engine, and the data source and target data source of DataX are configured to ensure that DataX can access these data sources normally, support data transmission between multiple data sources, ensure the efficiency and stability of data synchronization, introduce data transmission monitoring and fault recovery mechanism, start DataX for data synchronization, transfer data in the source table to the temporary table of the target database, monitor the data synchronization status in real time, automatically retry failed tasks, and ensure the reliability of data synchronization.

[0023] In step S2, a visual interface is provided. Users can quickly map fields in the source table to the target table by dragging and selecting. The system will automatically identify fields with the same name and order, reducing the user's configuration workload and implementing fool-proof operation. It supports field type conversion and formatting. Users can customize field mapping rules to ensure the accuracy and consistency of data during transmission.

[0024] In step S3, before data synchronization, the system will automatically create a temporary table in the target database according to the name and field type of the source table to ensure the consistency of the data structure. This step can avoid the tedious operation of manually creating a table and improve the efficiency of data synchronization. It uses dynamic metadata management technology to automatically obtain the structural information of the source table and generate the corresponding DDL statement to ensure the automation and intelligence of the temporary table creation process.

[0025] In step S4, after data synchronization is completed, the system provides an SQL editor, and the user writes SQL statements in the target database to process and handle the synchronized data. This step can meet the user's further needs for data and improve data availability. The graphical data processing function is used to select and configure common data processing operations, such as deduplication, filtering, and aggregation. Users select and configure these operations through a graphical interface without having to write complex SQL statements.

[0026] In step S5, a multi-task scheduling mechanism is introduced to support parallel data synchronization tasks, improve the overall efficiency of data synchronization, implement resource management functions, dynamically allocate and adjust system resources, and ensure data synchronization performance in high-concurrency scenarios.

[0027] In step S6, during the data synchronization process, the system will automatically perform data quality checks, including data integrity, consistency and accuracy checks, to ensure the quality of synchronized data and provide a data verification report. Users can view the differences between data before and after synchronization and identify and resolve problems in a timely manner.

[0028] In step S7, the complete log recording function records each step and result of data synchronization, which is convenient for troubleshooting and auditing, supports log analysis and statistics, and provides rich reports and charts to help users fully understand the status and performance of data synchronization.

[0029] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A fast visual data synchronization method based on DataX, characterized by: The following steps are involved: S1: The underlying layer implements data synchronization between database tables based on DataX; S2: Based on S1, it realizes quick visual mapping of fields with the same name and order to achieve fool-proof data synchronization. S3: Automatically create table data with the same structure into a temporary table in the target database based on the source table name and type; S4: Based on the SQL capabilities of the database, data processing is implemented in the target database; S5: Multi-task scheduling and resource management; S6: Data quality detection and verification; S7: Logging and auditing.

2. According to claim 1, a fast visual data synchronization method based on DataX is characterized in that: In step S1, DataX is used as the underlying data synchronization engine, the data source and target data source of DataX are configured, data transmission between multiple data sources is supported, a data transmission monitoring and fault recovery mechanism is introduced, DataX is started for data synchronization, the data in the source table is transferred to the temporary table of the target database, the data synchronization status is monitored in real time, and failed tasks are automatically retried.

3. According to claim 1, a method for rapid visual data synchronization based on DataX, characterized in that: In step S2, a visual interface is provided, and the user can quickly map the fields in the source table to the target table by dragging and selecting. The system will automatically identify fields with the same name and order, and support field type conversion and formatting.

4. According to claim 1, a method for rapid visual data synchronization based on DataX, characterized in that: In step S3, before data synchronization, the system will automatically create a temporary table in the target database according to the name and field type of the source table, adopt dynamic metadata management technology to automatically obtain the structural information of the source table, and generate corresponding DDL statements.

5. According to claim 1, a fast visual data synchronization method based on DataX is characterized in that: In step S4, after data synchronization is completed, the system provides an SQL editor, and the user writes SQL statements in the target database to process and handle the synchronized data, and uses graphical data processing functions to select and configure common data processing operations, such as deduplication, filtering, and aggregation.

6. According to claim 1, a method for rapid visual data synchronization based on DataX, characterized in that: In step S5, a multi-task scheduling mechanism is introduced to support parallel data synchronization tasks, implement resource management functions, and dynamically allocate and adjust system resources.

7. According to claim 1, a method for rapid visual data synchronization based on DataX, characterized in that: In step S6, during the data synchronization process, the system will automatically perform data quality detection, including data integrity, consistency and accuracy checks, and provide a data verification report.

8. According to claim 1, a method for rapid visual data synchronization based on DataX, characterized in that: In step S7, a complete log recording function is provided to record each operation and result of data synchronization, support log analysis and statistics, and provide rich reports and charts.

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