Deep dive on Spark Aggregation APIsComplex aggregation problems require advanced solutions beyond straightforward SQL functions.User Defined Aggregate Functions (UDAFs) are essential for calculating median values in Spark.Performance and implementation ease are critical factors in selecting aggregation techniques.
Overcoming Performance Hurdles in Spark SQL with Delta TablesCommon performance issues in Spark SQL: Spill, Skew, Shuffle, Storage, Serialization. Strategies like repartitioning, salting, and broadcast joins can help mitigate these challenges.
From CSV to Parquet: A Journey Through File Formats in Apache Spark with ScalaSparkSession is used as the entry point to Spark SQL functionality.Different file formats like CSV, Parquet, JSON, and Avro can be read into DataFrames in Spark.