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An default anonymization process in scala is proposed by Saagie. The code source is available here : https://github.com/saagie/outis.

You can use it as is, change it or replace it with one of your process.

To use it, build jar and create Spark processing job on platform with command line : 

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• hdfs_user = user to launch job - user must have right to write in hdfs
• metastore_url = url of the hive metastore (exp : thrift://nn1:9083)
• datagov_user = user to access to Data Governance on the platform with right "Manage Data GovernanceAccess all datasets" (may be the same as hdfs_user)
• datasetsToAnonymized_url = url to obtain datasets to anonymized (exp : http://{IP_DATAGOVERNANCE}:{PORT}/api/v1/datagovernance/platform/{PLATFORM_ID}/privacy/datasets)
• callback_url = url to inform dataset is anonymized (exp : http://{IP_DATAGOVERNANCE}:{PORT}/api/v1/datagovernance/platform/{PLATFORM_ID}/privacy/events/datasetAnonymized)
• $ENV_VAR_PASSWORD : environment variable for password

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