Read Parquet File | teradatamlspk | pyspark2teradataml - Read Parquet File - Teradata Package for Python

When reading Parquet file in teradatamlspk, the file must be in cloud storage or local platform.

PySpark

spark.read.parquet(path = "parquet_path").show()

teradatamlspk

spark.read.options(authorization = {"Access_ID": id, "Access_Key": key}).parquet(path = "/connector/bucket.endpoint/[key_prefix]").show()

using format

spark.read.options(authorization = {"Access_ID": id, "Access_Key": key}).format("parquet").load(path = "/connector/bucket.endpoint/[key_prefix]").show()