Hi Felix,

Most people I think are publishing this data into Kafka,and apply the
deletes as a part of the streaming job itself. The reason why this works is
because typically, only a small fraction of users leave the service (say <<
0.1% weekly is what I have heard). So, the cost of storage on Kafka is not
much. Is that not the case for you? Are you looking for one time scrubbing
of data for e.g? The benefit of this approach is that you eliminate any
concurrency issues that arise from streaming job producing data for a user,
while the deletes are also issued for that user.

On concurrency control, Hudi now supports multiple writers, if you want to
write a background job that will perform these deletes for you. it's in
0.8.0, see https://hudi.apache.org/docs/concurrency_control.html. One of us
can help you out with trying this and rolling out. (Nishith is the feature
author). Here, if the delete job touches same files, that the streaming job
is writing to, then only one of them will succeed.

We are working on a design for true lock free concurrency control, which
provides the benefits of both models. But, won't be there for another month
or two.

Thanks
Vinoth


On Tue, Apr 13, 2021 at 1:45 PM Kizhakkel Jose, Felix
<felix.j...@philips.com.invalid> wrote:

> Hi All,
>
> I have 100s of HUDI tables (AWS S3) where each of those are populated via
> Spark structured streaming from kafka streams. Now I have to delete records
> for a given user (userId) from all the tables which has data for that user.
> Meaning all tables where we have reference to that specific userId. I
> cannot republish all the events/records for that user to kafka to perform
> delete, since its around 10-15 year’s worth of data for each user and is
> going to be so costly and time consuming. So I am wondering how everybody
> is performing GDPR on the their HUDI tables?
>
>
> How I get delete request?
> On a delete kafka topic we get a delete event [which just contains the
> userId of the user  to delete], so we have to use that as filter condition
> and read all the records from HUDI tables and write it back with data
> source operation as ‘delete’. But while performing/running this delete
> spark job on the table if the streaming job continues to ingest new
> arriving data- what will be the side effect? Will it work, since seems like
> multi writers are not currently supported.
>
> Could you help me with a solution?
>
> Regards,
> Felix K Jose
>
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