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Posted to commits@hudi.apache.org by "Nicholas Jiang (Jira)" <ji...@apache.org> on 2019/11/27 03:00:00 UTC

[jira] [Commented] (HUDI-109) Ability to query older snapshots of data

    [ https://issues.apache.org/jira/browse/HUDI-109?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16983122#comment-16983122 ] 

Nicholas Jiang commented on HUDI-109:
-------------------------------------

Hi, [~nishith29], In my option, the implementation of query older snapshots of data could use HoodieTimeline which supports incremental query or query based on a certain historical point in time of dataset. I have interest in this implementation cooperation with you. Thanks.

> Ability to query older snapshots of data 
> -----------------------------------------
>
>                 Key: HUDI-109
>                 URL: https://issues.apache.org/jira/browse/HUDI-109
>             Project: Apache Hudi (incubating)
>          Issue Type: New Feature
>          Components: Spark datasource
>            Reporter: Nishith Agarwal
>            Assignee: Nishith Agarwal
>            Priority: Major
>
> At the moment, Hudi allows a client to configure the number of versions to keep for a particular dataset. Depending on the trade-off between storage cost vs number of versions required, one can use Hudi to keep multiple views of the dataset at different points in time. 
> Hudi uses this information to provide incremental consumption of what changed between 2 time units but does not have a simple way to be able to query a dataset as of a particular instant in time. There are multiple use-cases which benefit from such a feature, such as ML training/use-cases against the state of a feature store at a particular instant in time or for auditing system that require to see previous versions of data. 
> Hudi has most of the building blocks to be able to support such queries, we'd like to explore the feasibility & changes required to support it.
> [~semanticbeeng] something along the lines of what you brought up as well.



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