Question

Define Partitions in Apache Spark.

a. Data distribution units in an RDD
b. Spark's built-in data structures
c. Virtual memory segments in Spark
d. File storage locations in HDFS

Answer 1

Partitions in Apache Spark are data distribution units in an RDD (Resilient Distributed Dataset) that enable parallel processing.

Step-by-step explanation:

Partitions in Apache Spark refer to the data distribution units in an RDD (Resilient Distributed Dataset).

Spark's built-in data structures include RDDs (Resilient Distributed Datasets), DataFrames, and Datasets. Partitions play a crucial role in distributing the data across the cluster and parallelizing the processing.

Each partition represents a logical division of the data, allowing Spark to perform operations on individual partitions in parallel, leading to improved performance.