Question

What are the features of Standalone (local) mode?

Answer 1

What are the features of Standalone (local) mode?

By default, Hadoop run in a single-node, non-distributed mode, as a single Java process. Local mode uses the local file system for input and output operation. One can also use it for debugging purpose. It does not support the use of HDFS. Standalone mode is suitable only for running programs during development for testing. Further, in this mode, there is no custom configuration required for configuration files. Configuration files are:

core-site.xml

hdfs-site.xml files.

mapred-site.xml

yarn-default.xml

🔗Source: Hadoop Interview Questions and Answers

Answer 2

In stand-alone or local mode there are no Hadoop daemons running, and everything runs on a single Java process. Hence, we don't get the benefit of distributing the code across a cluster of machines. Since, it has no DFS, it utilizes the local file system. This mode is suitable only for running MapReduce programs by developers during various stages of development. Its the best environment for learning and good for debugging purposes.