Gudu SQLFlow is a tool used to analyze SQL statements and stored procedures of various databases to obtain complex data lineage relationships and visualize them.
Gudu SQLFlow Lite version for Java allows Java developers to quickly integrate data lineage analysis and visualization capabilities into their own Java applications. It can also be used in daily work by data scientists to quickly discover data lineage from complex SQL scripts that usually used in ETL jobs do the data transform in a huge data platform.
Gudu SQLFlow Lite version for Java is free for non-commercial use and can handle any complex SQL statements with a length of up to 10k, including support for stored procedures. It supports SQL dialect from more than 20 major database vendors such as Oracle, DB2, Snowflake, Redshift, Postgres and so on.
Gudu SQLFlow Lite version for Java includes a Java library for analyzing complex SQL statements and stored procedures to retrieve data lineage relationships, and a JavaScript library for visualizing data lineage relationships.
Gudu SQLFlow Lite version for Java can also automatically extract table and column constraints, as well as relationships between tables and fields, from DDL scripts exported from the database and generate an ER Diagram.
This is a spring boot web service that integrates browser-side applications with thymeleaf. So you no longer need to install additional web containers like Nginx.
- Install maven
- Install Java jdk1.8
Compile with the following Maven command, The compiled jar package is under the target folder.
mvn package
Of course, you can skip this step because there is already a compiled executable in the Bin Folder.
java -jar bin/java_data_lineage-1.0.0.jar
When the startup is complete, open the program in the browser at the following URL: http://localhost:9600
The default port is 9600, if you need to change the port, for example to 8000, you can start by the following command:
java -jar bin/java_data_lineage-1.0.0.jar --server.port=8000
You can export metadata from the database using SQLFlow ingester and hand it over to Gudu SQLFlow for data lineage analysis.。
Document of the SQLFlow ingester
For further information, please contact support@gudusoft.com