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Hi All,
We are facing a Serialization issue ,
This issue has been submit to JIRA
https://issues.apache.org/jira/browse/SPARK-2018
We have an application run on Spark on Power7 System .
But we meet an important issue about serialization.
The example HdfsWordCount can meet the problem.
./bin
We didn't provide an unpersist API for Graph because the internal
dependency structure of a graph can make it hard to unpersist correctly in
a way that avoids recomputation. However, you can directly unpersist a
graph's vertices and edges RDDs using graph.vertices.unpersist() and
graph.edges.unpers
Hi All,
I know the benefit of RDD caching, but abuse of using cache may cause memory
leak. In graphx, we can cache a graph by using graph.cache(), and many
transformation of graph create and cache new edges, like partitionBy() and
subgraph(). However, I can not find an interface to unpe
