Hello Spark community, I was looking through the code in order to understand better how RDD is persisted to Tachyon off-heap filesystem. It looks like that the Tachyon filesystem is hard-coded and there is no way to switch to another in-memory filesystem. I think it would be great if the implementation of the BlockManager and BlockStore would be able to plug in another filesystem.
For example, Apache Ignite also has an implementation of in-memory filesystem which can store data in on-heap and off-heap formats. It would be great if it could integrate with Spark. I have filed a ticket in Jira: https://issues.apache.org/jira/browse/SPARK-9203 If it makes sense, I will be happy to contribute to it. Thoughts? -Alexey (Apache Ignite PMC)
