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HDFS-13788. Update EC documentation about rack fault tolerance. Contributed by Kitti Nanasi.

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Xiao Chen 2018-08-14 11:56:51 -07:00
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hadoop-hdfs-project/hadoop-hdfs/src/site/markdown/HDFSErasureCoding.md
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@ -107,10 +107,10 @@ Deployment
This means that when reading and writing striped files, most operations are off-rack. This means that when reading and writing striped files, most operations are off-rack.
Network bisection bandwidth is thus very important. Network bisection bandwidth is thus very important.
For rack fault-tolerance, it is also important to have at least as many racks as the configured EC stripe width. For rack fault-tolerance, it is also important to have enough number of racks, so that on average, each rack holds number of blocks no more than the number of EC parity blocks. A formula to calculate this would be (data blocks + parity blocks) / parity blocks, rounding up.
For EC policy RS (6,3), this means minimally 9 racks, and ideally 10 or 11 to handle planned and unplanned outages. For EC policy RS (6,3), this means minimally 3 racks (calculated by (6 + 3) / 3 = 3), and ideally 9 or more to handle planned and unplanned outages.
For clusters with fewer racks than the stripe width, HDFS cannot maintain rack fault-tolerance, but will still attempt For clusters with fewer racks than the number of the parity cells, HDFS cannot maintain rack fault-tolerance, but will still attempt
to spread a striped file across multiple nodes to preserve node-level fault-tolerance. to spread a striped file across multiple nodes to preserve node-level fault-tolerance. For this reason, it is recommended to setup racks with similar number of DataNodes.
### Configuration keys ### Configuration keys