MapReduce Unwinding. . . . . Philosophy

The philosophy of Map Reduce workings is straight forward and can be summarized in 6 steps.

Whatever data we provide as input to Hadoop, it first splits these data into smaller no of pieces. Typically, the size of data splitted is limited to 64MB.  If a file of 1 TB is arrived to process on data node, this file will be splitted into 16384 pieces. Let’s understand the impact of splitting of data over Number of Data node in HDFS cluster.

The simple calculation to split 1.2 TB of data:

Default Size: 64 MB

Total Data Size: 1048576 MB (1 TB)

No of split: 1048576/64 = 19660.8

This means if you have 100 nodes (data node) HDFS cluster, using default data size, every node has to process 197(~196.08) data pieces.  Size of the last data piece will not be exactly 64MB.  It would be 51 MB.  If you increase the size of data piece to 512, it has to pick only 25 (~24.57) pieces. In this case size of last data piece would be 307MB. By adjusting the size of the data, we can put a proper load to the data node in our cluster.  This will impact the overall processing time.  Below chart depicts comparison graph on the number of piece over number of data nodes.

Hadoop does provide a way to implement this decision of changing size of the data and hence the no of pieces to be processed by each data node.  This can be achieved by modifying configuration file hdfs-site.xml for property dfs.block.size.  I will provide a separate blog on details of any configuration changes for HDFS Cluster.

Which data node (DN) will process which piece of data file is absolutely decided by Name Node (NN) of HDFS cluster and we don’t have any control over it.  Off course, NN does a track of same, and in case if any DN is not responding (for example, DN-78) for a specified duration, the pieces of data assigned to un-responsive data node (DN-78) will be distributed back to all other data nodes in the cluster.  Whenever,  the un-responsive data node is back in the cluster, Hadoop immediately does not try to re-assign the task, but keep this node as redundant and in case of further failure of any other node (for example, DN-31),  DN-78 will be used by NN.



Next will be on Fault tolerance, coming soon……


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Tum Laut Jao Priye