Hi All,
I have tried the same result with pyspark and with SQL query by creating
with tempView, I could able to achieve whereas I have to do in the pyspark
code itself, Could you help on this
incoming_data = [["a"], ["b"], ["d"]]
column_names = ["column1"]
df = spark.createDataFrame(incoming_data
Dear Team,
I hope this email finds you well. My name is Nikhil Raj, and I am currently
working with Apache Spark for one of my projects , where through the help
of a parquet file we are creating an external table in Spark.
I am reaching out to seek assistance regarding user authentication for our
