Apache Bigtop is an open-source project that provides tools and utilities for the deployment and management of Apache Hadoop and related big data technologies. It includes a collection of packaging and testing tools that help users deploy Hadoop-based systems on a variety of platforms, including Windows, MacOS, and various Linux distributions.
Bigtop includes support for a wide range of big data technologies in addition to Hadoop, including Apache Spark, Apache Flink, Apache Hive, Apache Zookeeper, and Apache Kafka. It also includes tools for managing and monitoring these systems, such as the Ganglia monitoring system and the Cloudera Manager web-based administration tool.
One of the primary benefits of using Bigtop is that it helps users to deploy and manage complex big data systems more easily, by providing a consistent set of packaging and testing tools that work across a variety of platforms. This can help users to deploy and maintain their systems more quickly and with fewer errors, resulting in improved reliability and performance.
Here are the general steps for installing Apache Bigtop on a Unix-like system:
Download the latest version of Apache Bigtop from the project's website (http://bigtop.apache.org/).
Extract the downloaded archive and navigate to the top-level directory.
Run the
./gradlew build
command to build Bigtop. This will download and install all necessary dependencies and build the Bigtop distribution.Run the
./bigtop-detect-javahome
command to detect the location of the Java runtime environment (JRE) on your system.Run the
./gradlew bigtopPackages
command to build the package files for the various big data technologies that are included in Bigtop. This will create .deb or .rpm files in thebigtop-packages/build/outputs
directory, depending on your platform.Install the package files using the appropriate package manager for your system. For example, on a Debian-based system, you can use the
dpkg
command to install the .deb files:sudo dpkg -i bigtop-package*.deb
Once the packages are installed, you can start the various big data services using the appropriate init scripts. For example, on a Debian-based system, you can use the
service
command to start the Hadoop services:sudo service hadoop-hdfs-namenode start
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