How can we create temporary tables in SparkSQL?

In Spark SQL, you can use the createOrReplaceTempView() method to create a temporary table. This method takes two parameters: the table name and a DataFrame object. Here is an example code using createOrReplaceTempView() to create a temporary table.

val df = spark.read.format("csv").option("header", "true").load("path/to/file.csv")
df.createOrReplaceTempView("temp_table")

In the example above, the CSV file is first read and loaded into a DataFrame object using the read() method. Then, the createOrReplaceTempView() method is used to register the DataFrame object as a temporary table named “temp_table”. Once the temporary table is created, SQL statements can be used to query this table.