![]() ![]() parquet extension.Ĭreate an AWS Identity and Access Management (IAM) role: Redshift Spectrum needs an IAM role to access the data in your S3 bucket. Upload your Parquet files: Upload the Parquet files containing the nested data to your S3 bucket. If you don’t have one already, create a new bucket in the AWS Management Console. Here are the steps you need to follow:Ĭreate an Amazon S3 bucket: You’ll need an S3 bucket to store your Parquet files. ![]() Defining the nested Parquet data structureīefore we can create an external table for nested Parquet type in Redshift Spectrum, we need to set up our environment.In this blog post, we’ll walk you through the process of creating an external table for nested Parquet type in Redshift Spectrum. It’s designed to be highly efficient, and it supports complex data types, including nested and repeated fields. ![]() Parquet is a columnar storage file format optimized for use with big data processing frameworks like Apache Spark, Apache Hive, and Apache Impala. One of the key features of Redshift Spectrum is its ability to query data stored in various file formats, including Parquet. It allows you to offload some of the query processing to the Redshift Spectrum layer, which can improve performance and reduce costs. | Miscellaneous How to Create an External Table for Nested Parquet Type in Redshift SpectrumĪmazon Redshift Spectrum is a powerful and scalable solution for querying massive datasets stored in Amazon S3. ![]()
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