In PySpark, toDF() function of the RDD is used to convert RDD to DataFrame. We would need to convert RDD to DataFrame as DataFrame provides more advantages over RDD. For instance, DataFrame is a distributed collection of data organized into named columns similar to Database tables and provides optimization and…
You can manually create a PySpark DataFrame using toDF() and createDataFrame() methods, both these function takes different signatures in order to create DataFrame from existing RDD, list, and DataFrame. You can also create PySpark DataFrame from data sources like TXT, CSV, JSON, ORV, Avro, Parquet, XML formats by reading from…
Use PySpark withColumnRenamed() to rename a DataFrame column, we often need to rename one column or multiple (or all) columns on PySpark DataFrame, you can do this in several ways. When columns are nested it becomes complicated. Since DataFrame's are an immutable collection, you can't rename or update a column…
While working in Apache Spark with Scala, we often need to Convert Spark RDD to DataFrame and Dataset as these provide more advantages over RDD. For instance, DataFrame is a distributed collection of data organized into named columns similar to Database tables and provides optimization and performance improvement. In this…
In Spark withColumnRenamed() is used to rename one column or multiple DataFrame column names. Depends on the DataFrame schema, renaming columns might get simple to complex, especially when a column is nested with struct type it gets complicated. In this article, I will explain how to rename a DataFrame column…
Like SQL "case when" statement and Swith statement from popular programming languages, Spark SQL Dataframe also supports similar syntax using "when otherwise" or we can also use "case when" statement.
In Spark, createDataFrame() and toDF() methods are used to create a DataFrame manually, using these methods you can create a Spark DataFrame from already existing RDD, DataFrame, Dataset, List, Seq data objects, here I will examplain these with Scala examples. You can also create a DataFrame from different sources like…