srowen commented on a change in pull request #32895: URL: https://github.com/apache/spark/pull/32895#discussion_r669649591
########## File path: docs/sql-data-sources-parquet.md ########## @@ -252,6 +252,71 @@ REFRESH TABLE my_table; </div> +## Columnar Encryption + + +Since Spark 3.2, columnar encryption is supported for Parquet tables with Apache Parquet 1.12+. + +Parquet uses the envelope encryption practice, where file parts are encrypted with "data encryption keys" (DEKs), and the DEKs are encrypted with "master encryption keys" (MEKs). The DEKs are randomly generated by Parquet for each encrypted file/column. The MEKs are generated, stored and managed in a Key Management Service (KMS) of user’s choice. Parquet maven [repository]( https://repo1.maven.org/maven2/org/apache/parquet/parquet-hadoop/1.12.0/) has a jar with a mock KMS implementation that allows to run column encryption and decryption using a spark-shell only, without deploying a KMS server (download the `parquet-hadoop-tests.jar` file and place it in the Spark `jars` folder): Review comment: I know it's not in Spark, but, why repeat 'how to include a JAR' here? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
