Spark Production setup and its execution -

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if spark running in own cluster(not hadoop cluster), in spark application, 

rdd = sparkcontext.textfile("hdfs://.../file.txt")
  • when data (for ex 1 tb of data)actually transferred spark executor nodes processing?
  • how data split across nodes?
  • is ha feature , fault tolerance available way of replication in executor nodes well?
  • is feasible peek worker nodes see location of data files?
  • is spark installed on distributed cluster bring processing closer data. ex, in cassandra cluster or hbase cluster, or hadoop cluster

i bit confused spark setup , execution. can point me links clears above queries?


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