Column Encryption and Decryption in Databricks
<p>Encryption of data is always important, particularly when certain fields in the data contain sensitive information.</p>
<p>Databricks provides the <em>aes_encrypt</em> and <em>aes_decrypt</em> functions to help accomplish this. The documentation for those functions can be found here:</p>
<p><a href="https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/aes_encrypt" rel="noopener ugc nofollow" target="_blank">aes_encrypt function — Azure Databricks — Databricks SQL | Microsoft Learn</a></p>
<p><a href="https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/aes_decrypt" rel="noopener ugc nofollow" target="_blank">aes_decrypt function — Azure Databricks — Databricks SQL | Microsoft Learn</a></p>
<p>The Apache Spark documentation for these Spark SQL functions can be found here:</p>
<p><a href="https://spark.apache.org/docs/latest/api/sql/index.html#aes_decrypt" rel="noopener ugc nofollow" target="_blank">Spark SQL, Built-in Functions (apache.org)</a></p>
<p>However, as you can see from the examples in their documentation, these functions are more designed for the Spark SQL functionality. I wanted a solution that allowed me to use PySpark to encrypt and decrypt columns in DataFrames. However, per this documentation…</p>
<p><a href="https://datamadness.medium.com/column-encryption-and-decryption-in-databricks-baf9ada3a7cf"><strong>Learn More</strong></a></p>