How much RAM do I need for ZFS deduplication?
How much RAM do I need for ZFS deduplication?
For every TB of pool data, you should expect 5 GB of dedup table data, assuming an average block size of 64K. This means you should plan for at least 20GB of system RAM per TB of pool data, if you want to keep the dedup table in RAM, plus any extra memory for other metadata, plus an extra GB for the OS.
Does ZFS Deduplicate?
ZFS supports deduplication as a feature. Deduplication means that identical data is only stored once, and this can greatly reduce storage size. However deduplication is a compromise and balance between many factors, including cost, speed, and resource needs.
How data deduplication is implemented in ZFS?
Deduplication can be applied as the data is written to the storage target (synchronous) or during a background process that analyzes the data after creation (asynchronous). Block-level deduplication works by inspecting the contents of a file and removing redundancy both within a file and between files.
How much RAM does ZFS need?
With ZFS, it’s 1 GB per TB of actual disk (since you lose some to parity). See this post about how ZFS works for details. For example, if you have 16 TB in physical disks, you need 16 GB of RAM. Depending on usage requirements, you need 8 GB minimum for ZFS.
Does deduplication on be storage supported?
Data Deduplication is fully supported on Storage Spaces Direct NTFS-formatted volumes (mirror or parity). Deduplication is not supported on volumes with multiple tiers. See Data Deduplication on ReFS for more information. Storage Replica is fully supported. Data Deduplication should be configured to not run on the secondary copy.
What is secure data deduplication in cloud computing?
Secure data deduplication. Data deduplication is an active research area in data storage for several years, which can be used to save network bandwidth and storage space by eliminating duplicate copies of data.
What is deduplication in big data?
Deduplication or Dedupe in simple words is the process were data blocks are analysed to identify duplicate blocks and the system stores only one copy of it while deleting the rest. Big Data / Cloud storage vendors like Google, Microsoft and Amazon are constantly seeking ways by which their customers can manage expanding silos of data into storage devices.
