#When processing information from HDFS, is the code performed near the data?

When processing information from HDFS, is the code performed near the data?

Yes, when processing information from Hadoop Distributed File System (HDFS), the code is typically performed near the data.One of the main ideas behind Hadoop's architecture is to process data locally to its location rather than transferring massive amounts of data over a network.

In Hadoop and spark, data is distributed across multiple nodes in a cluster, and the computation is performed in parallel on those nodes.
 This allows for efficient processing of large datasets by leveraging parallelism and distributing the workload across multiple machines and node.

So, when you execute a computation on data stored in HDFS, the code is usually executed on the same nodes where the data resides, or at least in close proximity to those nodes.
 This minimizes data transfer overhead and helps improve the performance of data