What is the method for accessing HDFS files in Hadoop?

There are several ways to access HDFS files in Hadoop.

1. Hadoop command line tools: Hadoop offers a range of command line tools such as hadoop fs -ls, hadoop fs -cat, which can be used to list files, view file contents, and so on.
2. Hadoop Java API: Hadoop offers a set of Java APIs that can be used in Java programs to access HDFS files. Using the FileSystem class in Hadoop, you can create, read, and write files.
3. Hadoop Streaming is a mechanism provided by Hadoop that allows users to write MapReduce programs in their preferred programming language, such as Python. In Hadoop Streaming, HDFS files can be accessed through file paths.
4. Hadoop MapReduce is a core component of Hadoop, used for distributed processing of large datasets. In a MapReduce program, HDFS files can be accessed using file paths.

In addition to the methods mentioned above, one can also utilize various third-party tools or libraries to access HDFS files, such as Apache Spark, Apache Flink, and others. These tools offer more advanced APIs and functionalities, making it easier for users to conduct large-scale data processing and analysis.