Apache Spark Quick Start Guide by Shrey Mehrotra
				
							 
							
								
							
							
							Author:Shrey Mehrotra
							
							
							
							Language: eng
							
							
							
							Format: epub, azw3
							
							
							
							Tags: COM018000 - COMPUTERS / Data Processing, COM062000 - COMPUTERS / Data Modeling and Design, COM021030 - COMPUTERS / Databases / Data Mining
							
							
																				
							
							
							
							
							
							Publisher: Packt Publishing
							
							
							
							Published: 2019-01-31T19:55:06+00:00
							
							
							
							
							
							
sales_df.write.json("sales.json")
val json_sales_DF = spark.read.json("sales.json")
json_sales_DF.createOrReplaceTempView("jsonSales")
var ipDF = spark.sql("SELECT ip FROM jsonSales WHERE id BETWEEN 10 AND 19")
ipDF.map(attributes => "IPS: " + attributes(0)).show()
DataFrame operations and associated functions
DataFrames support untyped transformations with the following operations:
printSchema: This prints out the mapping for a Spark DataFrame in a tree structure. The following code will give you a clear idea of how this operation works:
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| Access | Data Mining | 
| Data Modeling & Design | Data Processing | 
| Data Warehousing | MySQL | 
| Oracle | Other Databases | 
| Relational Databases | SQL | 
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