SQL Statement

Create one or more DataFrame(s) based on provided SQL queries to run against one or more input DataFrame(s).

Parameters

Parameter	Meaning	Required
DataFrame(s)	Input DataFrame(s)	True
SQL Queries	SQL Query for each output tab	True

Example

info

Number of inputs and outputs can be changed as needed by clicking the + button on the respective tab.

Generated Code

Python

def SQLStatement(spark: SparkSession, orders: DataFrame, customers: DataFrame) -> (DataFrame, DataFrame):
    orders.createOrReplaceTempView("orders")
    customers.createOrReplaceTempView("customers")
    df1 = spark.sql("select * from orders inner join customers on orders.customer_id = customers.customer_id")
    df2 = spark.sql("select distinct customer_id from orders")

    return df1, df2

Scala

object SQLStatement {

  def apply(
      spark: SparkSession,
      orders: DataFrame,
      customers: DataFrame
  ): (DataFrame, DataFrame) = {
    orders.createOrReplaceTempView("orders")
    customers.createOrReplaceTempView("customers")
    (
      spark.sql(
        """select * from orders inner join customers on orders.customer_id = customers.customer_id"""
      ),
      spark.sql(
        """select distinct customer_id from orders"""
      )
    )
  }

}