Spark 1.3 introduced a new DataFrame API as part of the Project Tungsten initiative which seeks to improve the performance and scalability of Spark. The DataFrame API introduces the concept of a schema to describe the data, allowing Spark to manage the schema and only pass data between nodes, ...
If you chek the link you will come to lots of functions or methods supported for the DataSet http://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.sql.Dataset 3) It is an High Level API RDD 1)Are know as Resilient Distributed Datasets (RDD) 2) It is an core lev...
processing unstructured data on a massive scale, paving the way for big data analytics and data lakes. Shortly after, Apache Spark emerged. It was easier to use. In addition, it provided capabilities for building and training ML models, querying structured data using SQL, and processing real-...
Despite Spark’s advantages, Uber has encountered significant challenges, particularly with the Spark shuffle operation—a key process for data transfer between job stages, which traditionally occurs locally on each machine. To address the inefficiencies and reliability issues of local shuffling, Uber pro...