The transformation consists of replacing the load call with the parameter used in the format function if this parameter is not supported, the transformation won't be performed and will generate an EWI.
Copy from pyspark . sql import SparkSession
df = SparkSession . read . format ( 'json' ). load (path)
df2 = SparkSession . read . format ( 'parquet' ). load (path)
df3 = SparkSession . read . format ( 'orc' ). load (path)
df4 = SparkSession . read . format ( 'csv' ). load (path)
df5 = SparkSession . read . format ( 'jdbc' ) \
. option ( "driver" , "com.mysql.cj.jdbc.Driver" ) \
. option ( "url" , "jdbc:mysql://localhost:3306/emp" ) \
. load ()
Copy import snowpark_extensions
from snowflake . snowpark import Session
df = Session . read . json (path)
df2 = Session . read . parquet (path)
df3 = Session . read . orc (path)
df4 = Session . read . csv (path
#EWI: SPRKPY1054 => pyspark.sql.readwriter.DataFrameReader.format with argument(s) value(s) "jdbc" is not supported
#EWI: SPRKPY1002 => pyspark.sql.readwriter.DataFrameReader.load is not supported
df5 = Session.read. format ( 'jdbc' ) \
. option ( "driver" , "com.mysql.cj.jdbc.Driver" ) \
. option ( "url" , "jdbc:mysql://localhost:3306/emp" ) \
. load ()