+1

On Fri, Jan 10, 2025 at 11:01 AM Michał Modras
<michalmod...@google.com.invalid> wrote:

> +1 - separating these workloads makes sense to me - we remove
> unnecessary coupling and make them more single-responsibility, which eases
> reasoning about the system and any potential debugging
>
>
>
> On Fri, Jan 10, 2025 at 9:15 AM Kaxil Naik <kaxiln...@gmail.com> wrote:
>
> > Yeah, purely from operational perspective, debugging issues become lots
> > simpler if they are separated as one is CPU hungry while the other is
> > memory hungry!
> >
> >
> >
> > On Fri, 10 Jan 2025 at 13:09, Jarek Potiuk <ja...@potiuk.com> wrote:
> >
> > > +1 (or rather +10). There are two additional things - both related to
> > > security and our new security model.
> > >
> > > 1) separate standalone dag processor follows "secure by design"
> > principle.
> > > Having scheduler and dag file processor sharing the same "process"
> space
> > is
> > > a problem with isolation of DAG Author controlled security perimeter
> and
> > > scheduler perimeter. While they were separate processes, it's just
> > > inherently unsafe (from the security model perspective) to have the DAG
> > > processor started as a sub-process. And this is not an "academic" case
> -
> > we
> > > had a few security issues reported to us that could be only exploited
> if
> > > airflow was run in the default mode, the issues were not exploitable
> when
> > > standalone DAG Processor was used. And that is independent from point
> 2)
> > > regarding the database access - just running in the same process space
> > > allows DAG author to impact running scheduler code in various ways (via
> > > temporary files for example - but there are multiple other scenarios
> and
> > > attack vectors).
> > >
> > > 2) Currently the DAG processor has very different requirements than
> > > scheduler when it comes to database access. Basically it MUST NOT
> connect
> > > to the Airflow meta-database. We already saw failures yesterday after
> > > merging bundle parsing that suggest that it was caused by connection
> > being
> > > set in scheduler and DAG processor forked from it via multiprocessing -
> > > originally we re-initialized database when we forked the processor, but
> > now
> > > DAG processor MUST NOT use the DB, so basically it looks like we leak
> the
> > > DB to the processor. Which is also yet another security issue - if
> > > scheduler has a way to initialize the database, it means it has access
> to
> > > the database credentials, and it also means that unless we involve some
> > > kind of cgroups docker-like process separation, such forked DAG
> processor
> > > (and this also means DAG author) can access those credentials, and
> access
> > > database. This means pretty much that embedded DAG processor simply
> > breaks
> > > the "no DB access by DAG author" assumptions of Airflow 3.
> > >
> > > J.
> > >
> > >
> > > On Fri, Jan 10, 2025 at 8:03 AM Kaxil Naik <kaxiln...@gmail.com>
> wrote:
> > >
> > > > +1
> > > >
> > > > On Fri, 10 Jan 2025 at 07:43, Mehta, Shubham
> <shu...@amazon.com.invalid
> > >
> > > > wrote:
> > > >
> > > > > + 1 on this as well. From what I have seen, standalone DAG
> processing
> > > > > results in a minor performance advantage and, importantly, makes
> the
> > > > > Scheduler loop more resilient to DAG processor crashes.
> > > > >
> > > > > Shubham
> > > > >
> > > > > On 2025-01-09, 4:02 PM, "Daniel Imberman" <
> > daniel.imber...@gmail.com
> > > > > <mailto:daniel.imber...@gmail.com>> wrote:
> > > > >
> > > > >
> > > > > CAUTION: This email originated from outside of the organization. Do
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> and
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> > > > >
> > > > >
> > > > >
> > > > >
> > > > >
> > > > >
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> > > > >
> > > > >
> > > > >
> > > > >
> > > > >
> > > > >
> > > > > I'm +1 on this.
> > > > >
> > > > >
> > > > > The fact that there's one more thing to deploy isn't that big of an
> > > issue
> > > > > given the number of pre-configurable options mentioned (e.g. helm)
> > and
> > > a
> > > > > full logical separation of DAG parsing and scheduling makes sense
> > (one
> > > > > thing that has been a longstanding issue with Airflow is the
> > scheduler
> > > > > "Doing too many things", so it would be nice to create a clean
> divide
> > > > > here).
> > > > >
> > > > >
> > > > > On Thu, Jan 9, 2025 at 3:28 PM Jed Cunningham
> <j...@astronomer.io.inva
> > > > > <mailto:j...@astronomer.io.inva>lid>
> > > > > wrote:
> > > > >
> > > > >
> > > > > > Hello everyone!
> > > > > >
> > > > > > As I've been working on parsing lately, I want to propose a
> change
> > in
> > > > > that
> > > > > > area in time for Airflow 3.
> > > > > >
> > > > > > Today there are 2 different ways the DAG processor can be run in
> > > > Airflow
> > > > > -
> > > > > > as a standalone component, or embedded in the scheduler. The
> > > standalone
> > > > > > option came in 2.3, prior to that the only option was it being
> > > embedded
> > > > > in
> > > > > > the scheduler.
> > > > > >
> > > > > > Why standalone? Generally speaking, parsing scales vertically
> > (single
> > > > > loop
> > > > > > - more concurrent parsing) while scheduling is scaled
> horizontally
> > > > (many
> > > > > > loops). As the DAG processor and scheduler scale in different
> > > manners,
> > > > > it's
> > > > > > awkward to have them live in the same component. There is also a
> > > > > resiliency
> > > > > > aspect here, no noisy neighbor issues.
> > > > > >
> > > > > > Really, the only positive of the embedded option is that it's
> > easier
> > > to
> > > > > > deploy, as there is 1 less component to worry about. However, we
> > > > already
> > > > > > have a number of components, so 1 more isn't that cumbersome.
> > > Everyone
> > > > > > using breeze, standalone, the helm chart, a vendor, won't be
> > impacted
> > > > > much
> > > > > > by this change - in fact, having the log stream separate is a big
> > > > > positive!
> > > > > >
> > > > > > We'd also be able to remove a bit of complexity around
> > > reinitialising a
> > > > > > bunch of stuff in the child process.
> > > > > >
> > > > > > Overall, I see primarily positives with this change, and a major
> > > > version
> > > > > > upgrade is the perfect time to simplify this part of Airflow.
> > > Thoughts?
> > > > > >
> > > > > > Jed
> > > > > >
> > > > >
> > > > >
> > > > >
> > > > >
> > > >
> > >
> >
>

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