This represents additional IO that ReFS must perform before completing the new write, which introduces a larger latency factor to the IO operation.īy choosing 4K clusters instead of 64K clusters, one can reduce the number of IOs that occur that are smaller than the cluster size, preventing costly IO amplifications from occurring as frequently.Īdditionally, 4K cluster sizes offer greater compatibility with Hyper-V IO granularity, so we strongly recommend using 4K cluster sizes with Hyper-V on ReFS. A sub-cluster granularity write will cause the entire cluster to be re-allocated and re-written, and the new checksum must be computed. So if a 4K write is made to this shared cluster, ReFS must copy the unmodified 60K cluster before making the write. Operation occurs, ReFS must copy the entire cluster to maintain isolation between the two regions. If a cluster is shared by multiple regions after a Because the cluster size is the smallest granularity that the file system can use, ReFS must read the entire cluster, which includes an unmodified 60K region, to be able to complete the 4K write. If a 4K write is made to a range currently in the capacity tier, ReFS must read the entire cluster from the capacity tier into the performance tier Consider the following scenarios where a ReFS volume is formatted with 64K clusters: In general, if the cluster size exceeds the size of the IO, certain workflows can trigger unintended IOs to occur. We recommend using 4K cluster sizes for most ReFS deploymentsīecause it helps reduce costly IO amplification: 4K is the default cluster size for ReFS, and Reading data from a storage device significantly delays the completion of the original write, as the file system must wait until the appropriate data is retrieved from storage before making the write. This helps dramatically accelerate write operations by avoiding accessing slow, non-volatile media before completing every write.Ĭertain writes, however, could force the file system to perform additional IO operations, such as reading in data that is already written to a storage device. When performing a write, the file system could perform this write in memory and flush this write to physical storage when appropriate. This phenomenon can be especially costly when considering the various optimizations that the file system can no longer make: Though it may appear that only one IO operation occurred, in reality, the file system had to perform multiple IO operations to successfully service the initial IO. IO amplification refers to the broad set of circumstances where one IO operation triggers other, unintentional IO operations. In the past couple weeks, we’ve seen some confusion regarding the recommended cluster sizes for ReFS and NTFS, so this blog will hopefully disambiguate previous recommendations while helping to provide the reasoning behind why some cluster sizes are recommended for certain scenarios.īefore jumping into cluster size recommendations, it’ll be important to understand what IO amplification is and why minimizing IO amplification is important when choosing cluster sizes: Both ReFS and NTFS support multiple cluster sizes, as different sized clusters can offer different performance benefits, depending on the deployment. Because ReFS and NTFS don’t reference files at a byte granularity, the cluster size is the smallest unit of size that each file system can reference when accessing storage. Also known as the allocation unit size, cluster size represents the smallest amount of disk space that can be allocated to hold a file. Microsoft’s file systems organize storage devices based on cluster size. First published on TECHNET on Jan 13, 2017
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