For batch applications without checkpointing or iteration loops, what would
be the significance of streaming windows and application windows?


On Sun, Feb 14, 2016 at 10:33 PM, Thomas Weise <[email protected]>
wrote:

> Time to resume this discussion. I think it makes sense to look at the batch
> as execution of a DAG from setup to teardown for all its operators, as
> suggested by Bhupesh and Sandeep. The DAG comes into existence when the
> batch begins and terminates when it is done.
>
> We have also seen from customers that there is demand for having the
> scheduler function built in, when there is no external component already
> present. For example, a file or set of files could be identified as
> "batch". As the application is idle, there is only a scheduler operator
> which polls for files. Once work is ready, that operator would launch the
> DAG for processing (within same application, but not connected through
> stream). When processing is complete, that DAG terminates and returns the
> resources.
>
> As discussed, there is the need to be able to turn off checkpointing, which
> is different from setting a large checkpoint window. No checkpointing means
> no incremental recovery and hence no need to keep data in buffers.
>
> There is also the need to relay begin/end signal through the entire DAG.
> This is different from setup/shutdown. It is more like begin/endWindow, but
> there is only a single "window" in a batch.
>
>
> On Mon, Dec 28, 2015 at 10:36 PM, Chinmay Kolhatkar <
> [email protected]
> > wrote:
>
> > Hi Thomas,
> >
> > A comment on following in your previous mails:
> >
> >
> >
> > *An operator that identifies the batch boundary tells theengine about it
> > and corresponding control tuples are submitted through thestream, leading
> > to callbacks on downstream operators*
> >
> > This would mean there will be a single boundary definition of a batch in
> > the application DAG.
> > I think we should give freedom to individual operator to define what a
> > batch is and produce a callbacks accordingly.
> >
> > Considering that in mind, here is a quick sketch/suggestion of how it can
> > be done:
> >
> > 1) The operator that needs to work on a batch can implement an interface,
> > lets say BatchListener.
> >
> > 2) This will have 4 methods:
> > *    startBatch*
> > *    endBatch*
> > *    configureBatch*
> > *    callAtApplicationWindowBoundary *(maybe some better name??)
> >
> > 3) *configureBatch* will tell what tell what is the boundary of a batch.
> > This will be called right after setup OR activate, basically before
> > beginning of the stream. The return value will be set with operator
> thread.
> >
> > 4) Based on configuration, the *startBatch* and *endBatch* will be
> called.
> >
> > 5) the *callAtApplicationWindowBoundary* should return *true/false* based
> > on whether start/end batch calls should happen at application window
> > boundary OR not. Here is where user can choose to take care of
> > checkpointing of tuples within a windows by platform OR whether user
> wants
> > to do that of his own.
> >
> >
> > Thoughts?
> >
> >
> > -Chinmay.
> >
> >
> > ~ Chinmay.
> >
> > On Tue, Dec 29, 2015 at 11:35 AM, Thomas Weise <[email protected]>
> > wrote:
> >
> > > On Mon, Dec 28, 2015 at 7:01 AM, Sandeep Deshmukh <
> > [email protected]
> > > >
> > > wrote:
> > >
> > > > +1 for batch support in Apex. I would be interested to be part of
> this
> > > > work.
> > > >
> > > > I would like to start with basics and would like to know how one will
> > > > define "batch" in Apex context. Which of the following cases would be
> > > > supported under batch:
> > > >
> > > >    1. A program completes a task and auto shutdown itself once the
> task
> > > is
> > > >    complete. E.g.  the program needs to copy a set of files from
> source
> > > to
> > > >    destination.
> > > >    2. A program completes a task and then waits for pre-defined time
> to
> > > >    poll for something more to work on. E.g. the program copies all
> the
> > > > files
> > > >    from source location and then periodically checks, say every 1
> hour,
> > > if
> > > >    there are new files at the source and copies them.
> > > >    3. A program completes a task and then polls every 1 hr as in
> case 2
> > > but
> > > >    releases resources during wait time.
> > > >
> > > >
> > >
> > > Yes, both, 1. and 2. are valid use cases. I would not make a further
> > > distinction between 2. and 3. at this point.
> > >
> > > Ability to run an application that expands and shrinks as self
> contained
> > > unit can be a benefit, as otherwise you need an external scheduler just
> > to
> > > launch jobs (such as Oozie). The associated extra integration work may
> be
> > > brittle and an unwanted barrier for certain use cases.
> > >
> > >
> > >
> > > > Needs for each of the above will vary. I am putting down some basic
> > > > requirements for each of them
> > > >
> > > > 1. This case will need a mechanism to shutdown automatically on
> > > completion
> > > > of the task.
> > > >
> > > > StartProgram()
> > > >     StartBatch()
> > > >         Streaming Application starts, runs and finishes
> > > >     EndBatch()
> > > > EndProgram()
> > > >
> > > > 2. This will simply need a construct to wait for some time ( say 10
> > > > minutes) or till some time ( till 1pm) .
> > > >
> > > > StartProgram()
> > > > while(true)
> > > > {
> > > >     StartBatch()
> > > >         Streaming Application starts, runs and finishes
> > > >     EndBatch()
> > > >     WaitTill(time) or WaitFor(timeperiod)
> > > > }
> > > > EndProgram()
> > > >
> > > > 3. Apart from wait construct, we also need release resources support
> > > >
> > > > StartProgram()
> > > > while(true)
> > > > {
> > > >     RestartFromSavedState() // if any state is saved previously.
> > > >     StartBatch()
> > > >         Streaming Application starts, runs and finishes
> > > >     EndBatch()
> > > >     SaveState()
> > > >     RelaseResources()
> > > >     WaitTill(time) or WaitFor(timeperiod)
> > > > }
> > > > EndProgram()
> > > >
> > > >
> > > > All the constructs : waitTime(), RestartFromSavedState(), SaveState()
> > > > , RelaseResources()
> > > > could be very well be part of StartBatch() or EndBatch(). I have put
> > them
> > > > separately for clear understanding only.
> > > >
> > > > Another point to think on would be scheduler. A batch job is
> generally
> > > > triggered as a cron job. Do we still see Apex jobs being triggered by
> > > cron
> > > > or would like to include a scheduler within Apex that will trigger
> jobs
> > > > based on time or on some external trigger or even polling for events.
> > > >
> > > > Regards
> > > > Sandeep
> > > >
> > > > On Mon, Dec 28, 2015 at 5:11 PM, Bhupesh Chawda <
> > [email protected]
> > > >
> > > > wrote:
> > > >
> > > > > +1
> > > > >
> > > > > I think in the batch case, application windows may be transparent
> to
> > > the
> > > > > user application / operator logic.  A batch can be thought of as
> one
> > > > > instantiation of a Apex Dag, from setup() to teardown() for all
> > > > operators.
> > > > > May be we need to define a higher level API which encapsulates a
> > > > streaming
> > > > > application.
> > > > > Something like:
> > > > >
> > > > > StartBatch()
> > > > >   Streaming Application starts, runs and finishes
> > > > > EndBatch()
> > > > >
> > > > > The streaming application will run transparently with all the
> > > windowing /
> > > > > checkpointing logic that it currently does. Checkpointing large
> > amounts
> > > > of
> > > > > data may be avoided by either checkpointing at large intervals or
> > even
> > > > > disabling checkpointing for the batch job.
> > > > > Additionally, the external trigger (existence of some file etc. )
> can
> > > be
> > > > > controlled by the StartBatch() and EndBatch() calls. In all the
> batch
> > > use
> > > > > cases, it is usually the case that once the input is processed
> > > > completely,
> > > > > the batch is done. Example: In map reduce all splits processed
> means
> > > > batch
> > > > > job is done. Similar primitives can be supported by Apex in order
> to
> > > > > facilitate the control management in the StartBatch() and
> EndBatch()
> > > > > methods.
> > > > >
> > > > > -Bhupesh
> > > > >
> > > > > On Mon, Dec 28, 2015 at 1:34 PM, Thomas Weise <
> > [email protected]>
> > > > > wrote:
> > > > >
> > > > > > Following JIRA is open to enhance the support for batch:
> > > > > >
> > > > > > https://issues.apache.org/jira/browse/APEXCORE-235
> > > > > >
> > > > > > One of the challenges with batch on Apex today is that there
> isn't
> > > any
> > > > > > native support to identify begin/end of batch and associate
> actions
> > > to
> > > > > it.
> > > > > > For example, at the beginning we may want to fetch some data
> needed
> > > for
> > > > > all
> > > > > > subsequent processing and at the end perform some finalization
> > action
> > > > or
> > > > > > push to external system (add partition to Hive table or similar).
> > > > > >
> > > > > > Absent native support, the workaround is to add a bunch of ports
> > and
> > > > > extra
> > > > > > operators for propagation and synchronization purposes, which
> makes
> > > > > > building the batch application with standard operators or
> > development
> > > > of
> > > > > > custom operators rather difficult and inefficient.
> > > > > >
> > > > > > The span of a batch can also be seen as a user defined window,
> with
> > > > logic
> > > > > > for begin and end. The current "application window" support is
> > > limited
> > > > > to a
> > > > > > multiple of streaming window on a per operator basis. In the
> batch
> > > > case,
> > > > > > the boundary needs to be more flexible - user code needs to be
> able
> > > to
> > > > > > determine begin/endWindow based on external data (existence of
> > files
> > > > > etc.).
> > > > > >
> > > > > > There is another commonality with application window, and that's
> > > > > alignment
> > > > > > of checkpointing. For batches where it is more efficient to redo
> > the
> > > > > > processing instead of checkpointing potentially large amounts of
> > > > > > intermediate state for incremental recovery, it would be nice to
> be
> > > > able
> > > > > to
> > > > > > say "user window == checkpoint interval".
> > > > > >
> > > > > > This is to float the idea of having a window control that can be
> > > > > influenced
> > > > > > by user code. An operator that identifies the batch boundary
> tells
> > > the
> > > > > > engine about it and corresponding control tuples are submitted
> > > through
> > > > > the
> > > > > > stream, leading to callbacks on downstream operators. These
> control
> > > > > > tuples should
> > > > > > be able to carry contextual information that can be used in
> > > downstream
> > > > > > operator logic (file names, schema information etc.)
> > > > > >
> > > > > > I don't expect the current beginWindow/endWindow can be augmented
> > in
> > > a
> > > > > > backward compatible way to accommodate this, but a similar
> optional
> > > > > > interface could be supported to enable batch aware operators and
> > > > > > checkpointing optimization.
> > > > > >
> > > > > > Thoughts?
> > > > > >
> > > > >
> > > >
> > >
> >
>

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