Hi,

I am using this consumer for processing records from DynamoDb Streams , few
questions on this :

1. How does checkpointing works with Dstreams, since this class is
extending FlinkKinesisConsumer, I am assuming it will start from the last
successful checkpoint in case of failure, right ?
2. Currently when I kill the pipeline and start again it reads all the data
from the start of the stream, is there any configuration to avoid this
(apart from ConsumerConfigConstants.InitialPosition.LATEST), similar to
group-id in Kafka.
3. As these DynamoDB Streams are separated by shards what is the
recommended parallelism to be set for the source , should it be one to one
mapping , for example if there are 3 shards , then parallelism should be 3 ?


Regards,
Vinay Patil


On Wed, Aug 1, 2018 at 3:42 PM Ying Xu [via Apache Flink Mailing List
archive.] <ml+s1008284n23597...@n3.nabble.com> wrote:

> Thank you so much Fabian!
>
> Will update status in the JIRA.
>
> -
> Ying
>
> On Tue, Jul 31, 2018 at 1:37 AM, Fabian Hueske <[hidden email]
> <http:///user/SendEmail.jtp?type=node&node=23597&i=0>> wrote:
>
> > Done!
> >
> > Thank you :-)
> >
> > 2018-07-31 6:41 GMT+02:00 Ying Xu <[hidden email]
> <http:///user/SendEmail.jtp?type=node&node=23597&i=1>>:
> >
> > > Thanks Fabian and Thomas.
> > >
> > > Please assign FLINK-4582 to the following username:
> > >     *yxu-apache
> > > <
> https://issues.apache.org/jira/secure/ViewProfile.jspa?name=yxu-apache
> > >*
> > >
> > > If needed I can get a ICLA or CCLA whichever is proper.
> > >
> > > *Ying Xu*
> > > Software Engineer
> > > 510.368.1252 <+15103681252>
> > > [image: Lyft] <http://www.lyft.com/>
> > >
> > > On Mon, Jul 30, 2018 at 8:31 PM, Thomas Weise <[hidden email]
> <http:///user/SendEmail.jtp?type=node&node=23597&i=2>> wrote:
> > >
> > > > The user is yxu-lyft, Ying had commented on that JIRA as well.
> > > >
> > > > https://issues.apache.org/jira/browse/FLINK-4582
> > > >
> > > >
> > > > On Mon, Jul 30, 2018 at 1:25 AM Fabian Hueske <[hidden email]
> <http:///user/SendEmail.jtp?type=node&node=23597&i=3>>
> > wrote:
> > > >
> > > > > Hi Ying,
> > > > >
> > > > > Thanks for considering to contribute the connector!
> > > > >
> > > > > In general, you don't need special permissions to contribute to
> > Flink.
> > > > > Anybody can open Jiras and PRs.
> > > > > You only need to be assigned to the Contributor role in Jira to be
> > able
> > > > to
> > > > > assign an issue to you.
> > > > > I can give you these permissions if you tell me your Jira user.
> > > > >
> > > > > It would also be good if you could submit a CLA [1] if you plan to
> > > > > contribute a larger feature.
> > > > >
> > > > > Thanks, Fabian
> > > > >
> > > > > [1] https://www.apache.org/licenses/#clas
> > > > >
> > > > >
> > > > > 2018-07-30 10:07 GMT+02:00 Ying Xu <[hidden email]
> <http:///user/SendEmail.jtp?type=node&node=23597&i=4>>:
> > > > >
> > > > > > Hello Flink dev:
> > > > > >
> > > > > > We have implemented the prototype design and the initial PoC
> worked
> > > > > pretty
> > > > > > well.  Currently, we plan to move ahead with this design in our
> > > > internal
> > > > > > production system.
> > > > > >
> > > > > > We are thinking of contributing this connector back to the flink
> > > > > community
> > > > > > sometime soon.  May I request to be granted with a contributor
> > role?
> > > > > >
> > > > > > Many thanks in advance.
> > > > > >
> > > > > > *Ying Xu*
> > > > > > Software Engineer
> > > > > > 510.368.1252 <+15103681252>
> > > > > > [image: Lyft] <http://www.lyft.com/>
> > > > > >
> > > > > > On Fri, Jul 6, 2018 at 6:23 PM, Ying Xu <[hidden email]
> <http:///user/SendEmail.jtp?type=node&node=23597&i=5>> wrote:
> > > > > >
> > > > > > > Hi Gordon:
> > > > > > >
> > > > > > > Cool. Thanks for the thumb-up!
> > > > > > >
> > > > > > > We will include some test cases around the behavior of
> > re-sharding.
> > > > If
> > > > > > > needed we can double check the behavior with AWS, and see if
> > > > additional
> > > > > > > changes are needed.  Will keep you posted.
> > > > > > >
> > > > > > > -
> > > > > > > Ying
> > > > > > >
> > > > > > > On Wed, Jul 4, 2018 at 7:22 PM, Tzu-Li (Gordon) Tai <
> > > > > [hidden email]
> <http:///user/SendEmail.jtp?type=node&node=23597&i=6>
> > > > > > >
> > > > > > > wrote:
> > > > > > >
> > > > > > >> Hi Ying,
> > > > > > >>
> > > > > > >> Sorry for the late reply here.
> > > > > > >>
> > > > > > >> From the looks of the AmazonDynamoDBStreamsClient, yes it
> seems
> > > like
> > > > > > this
> > > > > > >> should simply work.
> > > > > > >>
> > > > > > >> Regarding the resharding behaviour I mentioned in the JIRA:
> > > > > > >> I'm not sure if this is really a difference in behaviour.
> > > > Internally,
> > > > > if
> > > > > > >> DynamoDB streams is actually just working on Kinesis Streams,
> > then
> > > > the
> > > > > > >> resharding primitives should be similar.
> > > > > > >> The shard discovery logic of the Flink Kinesis Consumer
> assumes
> > > that
> > > > > > >> splitting / merging shards will result in new shards of
> > > increasing,
> > > > > > >> consecutive shard ids. As long as this is also the behaviour
> for
> > > > > > DynamoDB
> > > > > > >> resharding, then we should be fine.
> > > > > > >>
> > > > > > >> Feel free to start with the implementation for this, I think
> > > > > design-wise
> > > > > > >> we're good to go. And thanks for working on this!
> > > > > > >>
> > > > > > >> Cheers,
> > > > > > >> Gordon
> > > > > > >>
> > > > > > >> On Wed, Jul 4, 2018 at 1:59 PM Ying Xu <[hidden email]
> <http:///user/SendEmail.jtp?type=node&node=23597&i=7>> wrote:
> > > > > > >>
> > > > > > >> > HI Gordon:
> > > > > > >> >
> > > > > > >> > We are starting to implement some of the primitives along
> this
> > > > path.
> > > > > > >> Please
> > > > > > >> > let us know if you have any suggestions.
> > > > > > >> >
> > > > > > >> > Thanks!
> > > > > > >> >
> > > > > > >> > On Fri, Jun 29, 2018 at 12:31 AM, Ying Xu <[hidden email]
> <http:///user/SendEmail.jtp?type=node&node=23597&i=8>>
> > wrote:
> > > > > > >> >
> > > > > > >> > > Hi Gordon:
> > > > > > >> > >
> > > > > > >> > > Really appreciate the reply.
> > > > > > >> > >
> > > > > > >> > > Yes our plan is to build the connector on top of the
> > > > > > >> > FlinkKinesisConsumer.
> > > > > > >> > > At the high level, FlinkKinesisConsumer mainly interacts
> > with
> > > > > > Kinesis
> > > > > > >> > > through the AmazonKinesis client, more specifically
> through
> > > the
> > > > > > >> following
> > > > > > >> > > three function calls:
> > > > > > >> > >
> > > > > > >> > >    - describeStream
> > > > > > >> > >    - getRecords
> > > > > > >> > >    - getShardIterator
> > > > > > >> > >
> > > > > > >> > > Given that the low-level DynamoDB client
> > > > > > (AmazonDynamoDBStreamsClient)
> > > > > > >> > > has already implemented similar calls, it is possible to
> use
> > > > that
> > > > > > >> client
> > > > > > >> > to
> > > > > > >> > > interact with the dynamoDB streams, and adapt the results
> > from
> > > > the
> > > > > > >> > dynamoDB
> > > > > > >> > > streams model to the kinesis model.
> > > > > > >> > >
> > > > > > >> > > It appears this is exactly what the
> > > > AmazonDynamoDBStreamsAdapterCl
> > > > > > >> ient
> > > > > > >> > > <
> > > > > > >> >
> https://github.com/awslabs/dynamodb-streams-kinesis-adapter/
> > > > > > >> blob/master/src/main/java/com/amazonaws/services/dynamodbv2/
> > > > > > >> streamsadapter/AmazonDynamoDBStreamsAdapterClient.java
> > > > > > >> > >
> > > > > > >> > > does. The adaptor client implements the AmazonKinesis
> client
> > > > > > >> interface,
> > > > > > >> > > and is officially supported by AWS.  Hence it is possible
> to
> > > > > replace
> > > > > > >> the
> > > > > > >> > > internal Kinesis client inside FlinkKinesisConsumer with
> > this
> > > > > > adapter
> > > > > > >> > > client when interacting with dynamoDB streams.  The new
> > object
> > > > can
> > > > > > be
> > > > > > >> a
> > > > > > >> > > subclass of FlinkKinesisConsumer with a new name e.g,
> > > > > > >> > FlinkDynamoStreamCon
> > > > > > >> > > sumer.
> > > > > > >> > >
> > > > > > >> > > At best this could simply work. But we would like to hear
> if
> > > > there
> > > > > > are
> > > > > > >> > > other situations to take care of.  In particular, I am
> > > wondering
> > > > > > >> what's
> > > > > > >> > the *"resharding
> > > > > > >> > > behavior"* mentioned in FLINK-4582.
> > > > > > >> > >
> > > > > > >> > > Thanks a lot!
> > > > > > >> > >
> > > > > > >> > > -
> > > > > > >> > > Ying
> > > > > > >> > >
> > > > > > >> > > On Wed, Jun 27, 2018 at 10:43 PM, Tzu-Li (Gordon) Tai <
> > > > > > >> > [hidden email]
> <http:///user/SendEmail.jtp?type=node&node=23597&i=9>
> > > > > > >> > > > wrote:
> > > > > > >> > >
> > > > > > >> > >> Hi!
> > > > > > >> > >>
> > > > > > >> > >> I think it would be definitely nice to have this
> feature.
> > > > > > >> > >>
> > > > > > >> > >> No actual previous work has been made on this issue, but
> > > AFAIK,
> > > > > we
> > > > > > >> > should
> > > > > > >> > >> be able to build this on top of the
> FlinkKinesisConsumer.
> > > > > > >> > >> Whether this should live within the Kinesis connector
> > module
> > > or
> > > > > an
> > > > > > >> > >> independent module of its own is still TBD.
> > > > > > >> > >> If you want, I would be happy to look at any concrete
> > design
> > > > > > >> proposals
> > > > > > >> > you
> > > > > > >> > >> have for this before you start the actual development
> > > efforts.
> > > > > > >> > >>
> > > > > > >> > >> Cheers,
> > > > > > >> > >> Gordon
> > > > > > >> > >>
> > > > > > >> > >> On Thu, Jun 28, 2018 at 2:12 AM Ying Xu <[hidden email]
> <http:///user/SendEmail.jtp?type=node&node=23597&i=10>>
> > > wrote:
> > > > > > >> > >>
> > > > > > >> > >> > Thanks Fabian for the suggestion.
> > > > > > >> > >> >
> > > > > > >> > >> > *Ying Xu*
> > > > > > >> > >> > Software Engineer
> > > > > > >> > >> > 510.368.1252 <+15103681252>
> > > > > > >> > >> > [image: Lyft] <http://www.lyft.com/>
> > > > > > >> > >> >
> > > > > > >> > >> > On Wed, Jun 27, 2018 at 2:01 AM, Fabian Hueske <
> > > > > > [hidden email]
> <http:///user/SendEmail.jtp?type=node&node=23597&i=11>>
> > > > > > >> > >> wrote:
> > > > > > >> > >> >
> > > > > > >> > >> > > Hi Ying,
> > > > > > >> > >> > >
> > > > > > >> > >> > > I'm not aware of any effort for this issue.
> > > > > > >> > >> > > You could check with the assigned contributor in
> Jira
> > if
> > > > > there
> > > > > > is
> > > > > > >> > some
> > > > > > >> > >> > > previous work.
> > > > > > >> > >> > >
> > > > > > >> > >> > > Best, Fabian
> > > > > > >> > >> > >
> > > > > > >> > >> > > 2018-06-26 9:46 GMT+02:00 Ying Xu <[hidden email]
> <http:///user/SendEmail.jtp?type=node&node=23597&i=12>>:
> > > > > > >> > >> > >
> > > > > > >> > >> > > > Hello Flink dev:
> > > > > > >> > >> > > >
> > > > > > >> > >> > > > We have a number of use cases which involves
> pulling
> > > data
> > > > > > from
> > > > > > >> > >> DynamoDB
> > > > > > >> > >> > > > streams into Flink.
> > > > > > >> > >> > > >
> > > > > > >> > >> > > > Given that this issue is tracked by Flink-4582
> > > > > > >> > >> > > > <https://issues.apache.org/jira/browse/FLINK-4582>.
>
> > we
> > > > > would
> > > > > > >> like
> > > > > > >> > >> to
> > > > > > >> > >> > > check
> > > > > > >> > >> > > > if any prior work has been completed by the
> > community.
> > > >  We
> > > > > > are
> > > > > > >> > also
> > > > > > >> > >> > very
> > > > > > >> > >> > > > interested in contributing to this effort.
> > Currently,
> > > we
> > > > > > have
> > > > > > >> a
> > > > > > >> > >> > > high-level
> > > > > > >> > >> > > > proposal which is based on extending the existing
> > > > > > >> > >> FlinkKinesisConsumer
> > > > > > >> > >> > > and
> > > > > > >> > >> > > > making it work with DynamoDB streams (via
> integrating
> > > > with
> > > > > > the
> > > > > > >> > >> > > > AmazonDynamoDBStreams API).
> > > > > > >> > >> > > >
> > > > > > >> > >> > > > Any suggestion is welcome. Thank you very much.
> > > > > > >> > >> > > >
> > > > > > >> > >> > > >
> > > > > > >> > >> > > > -
> > > > > > >> > >> > > > Ying
> > > > > > >> > >> > > >
> > > > > > >> > >> > >
> > > > > > >> > >> >
> > > > > > >> > >>
> > > > > > >> > >
> > > > > > >> > >
> > > > > > >> >
> > > > > > >>
> > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
>
>
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