Hi, I read from documents that in MapReduce, the reduce tasks only start after a percentage (by default 90%) of maps end. This means that the slowest maps can delay the start of reduce tasks, and the input data that is consumed by the reduce tasks is represented as a batch of data. This means that, the scenario of having reduce tasks consuming data as long the map tasks produce it, doesn't exist. But with the in Hadoop MapReduce streaming this still happens?
-- Best regards, P
