With the help of this collection of libraries and utilities developers can add support for Hadoop Distributed File System and MapReduce to any Java project.
hadoop core jar
hadoop core jar is a Windows software oriented toward Java programmers. It provides a framework for distributed storage and processing of large datasets. Please note that Java Runtime Environment is necessary for the correct functioning of all features.
Overview
The package contains all core libraries that are required for Hadoop. Instruments for advanced data management are included as well. It is possible to store large files across multiple machines connected to the same network.
How to use
You are instructed to add the downloaded JAR file to the project classpath to enable Hadoop support. This can be done by manually modifying the build path or by specifying it in the list of dependencies.
It is important to mention that the versions of the installed Hadoop platform and the JAR file have to match. Otherwise compatibility issues and other technical problems may arise during data processing.
Components
There are several interfaces included in the package such as FileSystem, WritableComparable, Mapper and Reducer. The Metric framework is intended for monitoring purposes. Users can manually edit configuration files to adjust operation parameters.
Features
- free to download and use;
- provides instruments for working with Apache Hadoop projects;
- it is possible to store and manage massive amounts of data;
- required for adding HDFS and MapReduce support to apps;
- compatible with all modern versions of Windows.