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https://issues.apache.org/jira/browse/HDFS-17316?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17814392#comment-17814392
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Steve Loughran commented on HDFS-17316:
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bq. However, only one FS instance can be supported per run. This is because
the benchmark should be simple and fast.
that's fine; what I would like is be able to identify a profile to use and have
all the settings picked up there. for the s3a test suites i can choose which
store to run against, but the other options (storage class, fips, aws roles,
...) have to be configured too. Switching from one store to another requires me
to comment out the ones not available. If we could be profile driven from the
start, i'd do a run -Dprofile=google vs -Dprofile=aws-s3express and have the
relevant profiles picked up with my configs for each of them
> Compatibility Benchmark over HCFS Implementations
> -------------------------------------------------
>
> Key: HDFS-17316
> URL: https://issues.apache.org/jira/browse/HDFS-17316
> Project: Hadoop HDFS
> Issue Type: New Feature
> Reporter: Han Liu
> Priority: Major
> Attachments: HDFS Compatibility Benchmark Design.pdf
>
>
> {*}Background：{*}Hadoop-Compatible File System (HCFS) is a core conception in
> big data storage ecosystem, providing unified interfaces and generally clear
> semantics, and has become the de-factor standard for industry storage systems
> to follow and conform with. There have been a series of HCFS implementations
> in Hadoop, such as S3AFileSystem for Amazon's S3 Object Store, WASB for
> Microsoft's Azure Blob Storage and OSS connector for Alibaba Cloud Object
> Storage, and more from storage service's providers on their own.
> {*}Problems：{*}However, as indicated by introduction.md, there is no formal
> suite to do compatibility assessment of a file system for all such HCFS
> implementations. Thus, whether the functionality is well accomplished and
> meets the core compatible expectations mainly relies on service provider's
> own report. Meanwhile, Hadoop is also developing and new features are
> continuously contributing to HCFS interfaces for existing implementations to
> follow and update, in which case, Hadoop also needs a tool to quickly assess
> if these features are supported or not for a specific HCFS implementation.
> Besides, the known hadoop command line tool or hdfs shell is used to directly
> interact with a HCFS storage system, where most commands correspond to
> specific HCFS interfaces and work well. Still, there are cases that are
> complicated and may not work, like expunge command. To check such commands
> for an HCFS, we also need an approach to figure them out.
> {*}Proposal：{*}Accordingly, we propose to define a formal HCFS compatibility
> benchmark and provide corresponding tool to do the compatibility assessment
> for an HCFS storage system. The benchmark and tool should consider both HCFS
> interfaces and hdfs shell commands. Different scenarios require different
> kinds of compatibilities. For such consideration, we could define different
> suites in the benchmark.
> *Benefits:* We intend the benchmark and tool to be useful for both storage
> providers and storage users. For end users, it can be used to evalute the
> compatibility level and determine if the storage system in question is
> suitable for the required scenarios. For storage providers, it helps to
> quickly generate an objective and reliable report about core functioins of
> the storage service. As an instance, if the HCFS got a 100% on a suite named
> 'tpcds', it is demonstrated that all functions needed by a tpcds program have
> been well achieved. It is also a guide indicating how storage service
> abilities can map to HCFS interfaces, such as storage class on S3.
> Any thoughts? Comments and feedback are mostly welcomed. Thanks in advance.
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