key-management-by-application-serverless.md

copyright	lastupdated	subcollection
years 2017, 2022	2022-01-17	AnalyticsEngine

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Key management by application

{: #key-management-application-serverless}

This topic describes how to manage column encryption keys by application. It explains how to provide master keys and how to write and read encrypted data using these master keys.

Providing master keys

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To provide master keys:

1. Set the class implementing EncryptionPropertiesFactory:

   parameter name: "parquet.crypto.factory.class"
   parameter value: "com.ibm.parquet.key.management.IBMKeyToolsFactory"

2. Pass the explicit master keys, in the following format:

   parameter name: "parquet.encryption.key.list"
   parameter value: "<master key ID>:<master key (base64)> , <master key ID>:<master key (base64)>.."

   For example:

   sc.hadoopConfiguration.set("parquet.crypto.factory.class","com.ibm.parquet.key.management.IBMKeyToolsFactory")
   sc.hadoopConfiguration.set("parquet.encryption.key.list" , "k1:iKwfmI5rDf7HwVBcqeNE6w== , k2:LjxH/aXxMduX6IQcwQgOlw== , k3:rnZHCxhUHr79Y6zvQnxSEQ==")

   The length of master keys before base64 encoding can be 16, 24 or 32 bytes (128, 192 or 256 bits).

Writing encrypted data

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To write encrypted data:

1. Specify which columns to encrypted, and which master keys to use:

   parameter name:  "parquet.encryption.column.keys"
   parameter value: "<master key ID>:<column>,<column>;<master key ID>:<column>,..."

2. Specify the footer key:

   parameter name:  "parquet.encryption.footer.key"
   parameter value:  "<master key ID>"

   For example:

   dataFrame.write
   .option("parquet.encryption.footer.key" , "k1")
   .option("parquet.encryption.column.keys" , "k2:SSN,Address;k3:CreditCard")
   .parquet("<path to encrypted files>")

   Note: If either the "parquet.encryption.column.keys" parameter or the "parquet.encryption.footer.key" parameter is not set, an exception will be thrown.

Reading encrypted data

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The required metadata is stored in the encrypted Parquet files.

To read the encrypted data:

1. Set the class implementing EncryptionPropertiesFactory:

   sc.hadoopConfiguration.set("parquet.crypto.factory.class","com.ibm.parquet.key.management.IBMKeyToolsFactory")

2. Provide the encryption keys:

   sc.hadoopConfiguration.set("parquet.encryption.key.list" , "k1:iKwfmI5rDf7HwVBcqeNE6w== , k2:LjxH/aXxMduX6IQcwQgOlw== , k3:rnZHCxhUHr79Y6zvQnxSEQ==")

3. Call the regular parquet read commands, such as:

   val dataFrame = spark.read.parquet("<path to encrypted files>")

Key rotation

{: #key-rotation-key-mgt-application}

If key rotation is required, the following Hadoop configuration properties must be set:

• The parameters "parquet.encryption.key.list", "parquet.encryption.new.key.list"
• The parameter "parquet.encryption.key.material.store.internally" must be set to "false"
• The parameter "parquet.encryption.kms.client.class" must be set to "com.ibm.parquet.key.management.InMemoryKMS"
• The parameter "parquet.crypto.factory.class" must be set to "com.ibm.parquet.key.management.IBMKeyToolsFactory"

For example:

sc.hadoopConfiguration.set("parquet.encryption.key.list", OLD_KEYS)
sc.hadoopConfiguration.set("parquet.encryption.new.key.list", NEW_KEYS)
sc.hadoopConfiguration.set("parquet.encryption.key.material.store.internally", "false")
sc.hadoopConfiguration.set("parquet.encryption.kms.client.class", "com.ibm.parquet.key.management.InMemoryKMS")
sc.hadoopConfiguration.set("parquet.crypto.factory.class","com.ibm.parquet.key.management.IBMKeyToolsFactory")

KeyToolkit.rotateMasterKeys("<path to encrypted files>", sc.hadoopConfiguration)

Note: Key rotation can be performed only for files written with "parquet.encryption.key.material.store.internally" parameter set to "false".