An AWS Identity and Access Management (IAM) user with an access key and secret key to configure the AWS Command Line Interface (AWS CLI).An AWS account that provides access to AWS services.Prerequisitesīefore creating your development environment, you must have the following prerequisites: In this post, we deploy a Redact UDF and use that to mask sensitive information. You can implement use cases involving sensitive data, such as personal identifiable information (PII), credit cards, or Social Security numbers (SSN). This blog post covers basic functionalities of Athena UDF, writing your own UDF, building and publishing your UDF to AWS Serverless Application Repository, configuring the UDF connector application, and using the UDF in Athena queries. ![]() Athena UDF functionality is available in Preview mode in the US East (N. You can use UDFs in both SELECT and FILTER clauses of a SQL query, and invoke multiple UDFs in the same query. When a UDF is used in a SQL query submitted to Athena, it’s invoked and run on AWS Lambda. You can write your UDFs in Java using the Athena Query Federation SDK. Although Athena provides built-in functions, UDFs enable you to perform custom processing such as compressing and decompressing data, redacting sensitive data, or applying customized decryption. ![]() ![]() Amazon Athena now supports user-defined functions (in Preview), a feature that enables you to write custom scalar functions and invoke them in SQL queries.
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