MEMORY_AND_DISK will use disk if there is no enough memory. If there is no
enough memory when putting a MEMORY_AND_DISK block, BlockManager will store
it to disk. And if a MEMORY_AND_DISK block is dropped from memory,
MemoryStore will call BlockManager.dropFromMemory to store it to disk, see
Hi ,
Just would like to clarify few doubts I have how BlockManager behaves .
This is mostly in regards to Spark Streaming Context .
There are two possible cases Blocks may get dropped / not stored in memory
Case 1. While writing the Block for MEMORY_ONLY settings , if Node's
BlockManager does
