To pass schema to a json file we do this:

from pyspark.sql.types import (StructField, StringType, StructType, IntegerType)
data_schema = [StructField('age', IntegerType(), True), StructField('name', StringType(), True)]
final_struc = StructType(fields = data_schema)
df =spark.read.json('people.json', schema=final_struc)

The above code works as expected. However now, I have data in table which I display by:

df = sqlContext.sql("SELECT * FROM people_json")               

But if I try to pass a new schema to it by using following command it does not work.

df2 = spark.sql("SELECT * FROM people_json", schema=final_struc)

It gives the following error:

sql() got an unexpected keyword argument 'schema'

NOTE: I am using Databrics Community Edition

• What am I missing?
• How do I pass the new schema if I have data in the table instead of some JSON file?

You cannot apply a new schema to already created dataframe. However, you can change the schema of each column by casting to another datatype as below.

df.withColumn("column_name", $"column_name".cast("new_datatype"))

If you need to apply a new schema, you need to convert to RDD and create a new dataframe again as below

df = sqlContext.sql("SELECT * FROM people_json")
val newDF = spark.createDataFrame(df.rdd, schema=schema)

Hope this helps!