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Spark SQL Window () Powerful ways

Spark window function perform calculations & aggregations on certain data groups than entire dataset. Also, handles ranking, cumulative sum and averages.

  • Spark – Installation on Windows
  • Spark – Installation on MacOS
  • Spark – Installation on Linux | Ubuntu
  • Spark – SparkSession
  • Spark – SparkContext
  • Spark RDD – Resilient Distributed Datasets (RDDs)
  • Spark RDD – Applications
  • Spark RDD – Create RDD
  • Spark RDD – Read CSV
  • Spark RDD – Read TXT
  • Spark RDD – RDD to DataFrame
  • Spark RDD – Actions
  • Spark RDD – Transformation
  • Spark RDD – Pair Functions
  • Spark RDD – Repartition and Coalesce
  • Spark RDD – Shuffle Partitions
  • Spark RDD – Cache vs Persist
  • Spark RDD – Persistence Storage Levels
  • Spark RDD – Broadcast Variables
  • Spark RDD – Accumulator Variables
  • DataFrame – select()
  • DataFrame – where() & filter()
  • DataFrame – withColumn()
  • DataFrame – withColumnRenamed()
  • DataFrame – distinct()
  • DataFrame – drop()
  • DataFrame – groupBy()
  • DataFrame – join()
  • DataFrame – map() vs mapPartitions()
  • DataFrame – foreach() vs foreachPartition()
  • DataFrame – pivot()
  • DataFrame – union()
  • DataFrame – collect()
  • DataFrame – cache() & persist()
  • DataFrame – udf()
  • Spark SQL – Date and Timestamp Functions
  • Spark SQL – Aggregate Functions
  • Spark SQL – Window Functions
  • Spark SQL – Array Functions
  • Spark SQL – Sort Functions
  • Spark SQL – JSON Functions

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