As Spark has much more advantages over the Map-Reduce framework like in-memory processing, Faster Real-time data analysis and also it claims to process data 100x faster than MapReduce, while 10x faster with the disks. So, Will it be replacing the Map-Reduce? or will it be used paralelly? ... View more

Lets assume a NameNode crashes in the HDFS HA (High Availability) setup and the Secondary/Fallback NameNode takes over, What will happen to the currently running MapReduce Jobs? Will they also fail? > Also will the secondary NameNode takes over for the failed Primary NameNode automatically or do we need any administrator to manually redirect the client requests to the Secondary NameNode? Thanks. ... View more