Re: Spark and S3 server side encryption

2015-01-29 Thread Ted Yu
"fs.s3a.server-side-encryption-algorithm" is honored by s3a support in hadoop 2.6.0+ as well. Cheers On Thu, Jan 29, 2015 at 6:51 AM, Danny wrote: > On Spark 1.2.0 you have the "s3a" library to work with S3. And there is a > config param named "fs.s3a.server-side-encryption-algorithm": > > http

Re: Spark and S3 server side encryption

2015-01-29 Thread Danny
On Spark 1.2.0 you have the "s3a" library to work with S3. And there is a config param named "fs.s3a.server-side-encryption-algorithm": https://github.com/Aloisius/hadoop-s3a -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-and-S3-server-side-encrypti

Re: Spark and S3 server side encryption

2015-01-28 Thread Charles Feduke
ng the folder > containing my jets3t.properties. But, I can’t get things working when > trying to submit this to a spark stand-alone cluster. > > Any insights would be appreciated.​ > -------------- > *From:* Thomas Demoor > *Sent:* Tuesday, January 27, 2015 4:41 A

Re: Spark and S3 server side encryption

2015-01-28 Thread Kohler, Curt E (ELS-STL)
s. But, I can't get things working when trying to submit this to a spark stand-alone cluster. Any insights would be appreciated.? From: Thomas Demoor Sent: Tuesday, January 27, 2015 4:41 AM To: Kohler, Curt E (ELS-STL) Cc: user@spark.apache.org Subject: Re:

Re: Spark and S3 server side encryption

2015-01-27 Thread Ted Yu
Adding on what Thomas said. There have been a few bug fixes for s3a since Hadoop 2.6.0 was released. One example is HADOOP-11446. The fixes would be in Hadoop 2.7.0 Cheers > On Jan 27, 2015, at 1:41 AM, Thomas Demoor > wrote: > > Spark uses the Hadoop filesystems. > > I assume you are try

Re: Spark and S3 server side encryption

2015-01-27 Thread Thomas Demoor
Spark uses the Hadoop filesystems. I assume you are trying to use s3n:// which, under the hood, uses the 3rd party jets3t library. It is configured through the jets3t.properties file (google "hadoop s3n jets3t") which you should put on Spark's classpath. The setting you are looking for is s3servic