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S3 and spark . Multiple Hive targets on S3 . Use s3:sse for some and do not use s3:sse for some hive tables

I want to write a spark application in which I read from multiple hive tables and writes to multiple hive table . However here is the quirk.

All the hive tables are external hive tables with data residing on S3.

Some s3 buckets require s3:sse encryption when writing and some buckets do not .

From my understand , I can only set the property fs.s3a.server-side-encryption-algorithm at a global level .

How do I go about this . I am pretty certain this is a common use case.

I guess the question I am asking is the following.

consider that I am reading from a hive table and writing to a hive table within a spark application . consider that both hive tables are external with data on S3. however , the table reads from a non encrypted bucket and writes into a bucket that requires encryption.

over 4 years ago · Santiago Trujillo
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Hadoop 2.8.0 lets you add per-bucket configurations, which will let you do exactly what you want; when you upgrade Spark to use the 2.8.0 JARs you can use this feature from Spark.

over 4 years ago · Santiago Trujillo Report
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