Hello, I am Siva's colleague and I am working on the problem below as well.
I would like to describe what we are trying to achieve with Hudi as well as our current way of working and our GDPR and "Right To Be Forgotten " compliance policies. Our requirements : - We wish to apply a strict interpretation of the RTBF. In other words, when we remove a person's data, it should be throughout the historical data and not just the latest snapshot. - We wish to use Hudi to reduce our storage requirements using upserts and don't want to have duplicates between commits. - We wish to retain history for persons who have not requested to be forgotten and therefore we do not want to delete commit files from the history as some have proposed. We have tried a couple of solutions, but so far without success : - replay the data omitting the data of the persons who have requested to be forgotten. We wanted to manipulate the commit times to rebuild the history. We found that we couldn't manipulate the commit times and retain the history. - replay the data omitting the data of the persons who have requested to be forgotten, but writing to a date-based partition folder using the "partitionpath" parameter. We found that commits using upserts between the partitionpath folders, do not ignore data that is unchanged between 2 commit dates as when using the default commit file system, so we will not save on our storage or speed up our processing using this technique. So basically we would like to find a way to apply a strict RTBF, GDPR, maintain history and time-travel (large history) and save storage space using Hudi. Can anyone see a way to achieve this? Kind Regards, David Rosalia Get Outlook for Android<https://aka.ms/ghei36> ________________________________ From: Vinoth Chandar <[email protected]> Sent: Friday, August 14, 2020 8:26:22 AM To: [email protected] <[email protected]> Subject: Re: Incremental query on partition column Hi, On re-ingesting, do you mean to say you want to overwrite the table, while not getting the changes in the incremental query? This has not come up before. As you can imagine, it'd tricky scenario, where we need some special handling/action type introduced. yes, yes on the next two questions. Commit. time can be controlled if using the HoodieWriteClient API, not on datasource/deltastreamer atm On Thu, Aug 13, 2020 at 12:13 AM Sivaprakash <[email protected]> wrote: > Hi, > > > What is the design that can be used/implemented when we re-ingest the data > without affecting incremental query? > > > > - Is it possible to maintain a delta dataset across partitions ( > hoodie.datasource.write.partitionpath.field) ? In my case it is a date. > - Can I do a snapshot query on across and specific partitions? > - Or, possible to control Hudi's commit time? > > > Thanks >
