Spark SQL Properties
Perficient Digital Transformation
MARCH 5, 2024
Shuffling involves redistributing and grouping data across partitions based on certain criteria, and the number of partitions directly affects the parallelism and resource utilization during these operations. toDF("emp_id", "emp_name", "dept_id") val departmentsDF = spark.createDataFrame(departmentsData).toDF("dept_id",
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