Flink Shaded Hadoop 2 Uber

Here are some key points about Flink Shaded Hadoop 2 Uber:

1. Hadoop Dependency Isolation: In a typical Apache Flink cluster, various components may need to interact with Hadoop Distributed File System (HDFS) or other Hadoop-related services. However, Flink may have its own dependencies on Hadoop libraries. To avoid classpath conflicts and compatibility issues, Flink Shaded Hadoop repackages the Hadoop client libraries, ensuring that they do not interfere with the Hadoop libraries present in the cluster.

2. Uber JAR: The term “Uber” often refers to a JAR (Java Archive) file that contains all the necessary dependencies, including the relocated Hadoop client libraries. This Uber JAR can be distributed and executed as part of a Flink application, simplifying deployment and ensuring that the application uses the shaded Hadoop client libraries.

3. Compatibility: Flink Shaded Hadoop is designed to work with Apache Flink, enabling Flink applications to interact with Hadoop-compatible file systems, such as HDFS and S3, without encountering classpath conflicts.

4. Avoiding Classpath Hell: Classpath conflicts and version incompatibilities can be challenging to manage in distributed systems. Flink Shaded Hadoop helps avoid these issues by providing a self-contained and isolated set of Hadoop client libraries.

5. Hadoop-Compatible File Systems: While Flink Shaded Hadoop primarily addresses Hadoop client library isolation, it also supports other Hadoop-compatible file systems and data sources, making it easier to work with a variety of data storage solutions in Flink applications.

6. Community Contribution: Flink Shaded Hadoop is an open-source project and part of the larger Flink ecosystem. It is developed and maintained by the Flink community.