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  1. Hadoop HDFS
  2. HDFS-13074

Ozone File System

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Details

    • New Feature
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • None
    • None
    • hdfs
    • None

    Description

      This jira splits out the Ozone's Key Value namespace out of HDFS-7240, leaving that jira to focus on the block layer Hadoop Distributed Storage Layer (HDSL).  HDFS-10419 focuses on the traditional hierarchical namespace/NN on top of HDFS while this jira focuses on a flat Key-Value namespace call ed Ozone FS on top HDSL.

      owen.omalley suggested the split in HDFS-7240 in this comment.

      Ozone provides two APIs:

      • A KV API
      • A Hadoop compatible FS (Haddop FileSystem and Hadoop FileContext), on top of KV API.

      Ozone FS serves the following purpose

      • It helps test the new storage layer (HDSL)
      • It can be directly used by applications (such. Hive, Spark)  that are ready for cloud's native storage systems that use a KV namespace such as S3, Azure ADLS.

      Ozone's namespace server scales well because of following reasons:

      • It keeps only the working set of metadata in memory - this scales the Key-Value namespace.
      • Ozone does not need to keep the equivalent of the block-map; instead the corresponding container-to-location mapping resides in in the SCM - this leaves additional free space for caching the metadata. This benefit is also available to NN that adapts to the new block-storage container layer as explained in Evolving NN using new block container layer attached in HDFS-10419.
      • It does not have a single global lock - this will scale well against a large number of concurrent clients/rpcs.
      • It can be partitioned/sharded much more easily because it is a flat namespace. Indeed a natural partitioning level is the bucket. Partitioning would further scale the number of clients/rpcs and also the Key-value namespace.

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              jnp Jitendra Nath Pandey
              jnp Jitendra Nath Pandey
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                Created:
                Updated:
                Resolved: