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From Николай Ижиков <nizhikov....@gmail.com>
Subject Re: Integration of Spark and Ignite. Prototype.
Date Tue, 17 Oct 2017 11:36:31 GMT
Yes

17 окт. 2017 г. 2:34 PM пользователь "Anton Vinogradov" <
avinogradov@gridgain.com> написал:

> Nikolay,
>
> So, it will be able to start regular spark and ignite clusters and, using
> peer classloading via spark-context, perform any DataFrame request,
> correct?
>
> On Tue, Oct 17, 2017 at 2:25 PM, Николай Ижиков <nizhikov.dev@gmail.com>
> wrote:
>
> > Hello, Anton.
> >
> > An example you provide is a path to a master *local* file.
> > These libraries are added to the classpath for each remote node running
> > submitted job.
> >
> > Please, see documentation:
> >
> > http://spark.apache.org/docs/latest/api/java/org/apache/
> > spark/SparkContext.html#addJar(java.lang.String)
> > http://spark.apache.org/docs/latest/api/java/org/apache/
> > spark/SparkContext.html#addFile(java.lang.String)
> >
> >
> > 2017-10-17 13:10 GMT+03:00 Anton Vinogradov <avinogradov@gridgain.com>:
> >
> > > Nikolay,
> > >
> > > > With Data Frame API implementation there are no requirements to have
> > any
> > > > Ignite files on spark worker nodes.
> > >
> > > What do you mean? I see code like:
> > >
> > > spark.sparkContext.addJar(MAVEN_HOME +
> > > "/org/apache/ignite/ignite-core/2.3.0-SNAPSHOT/ignite-
> > > core-2.3.0-SNAPSHOT.jar")
> > >
> > > On Mon, Oct 16, 2017 at 5:22 PM, Николай Ижиков <
> nizhikov.dev@gmail.com>
> > > wrote:
> > >
> > > > Hello, guys.
> > > >
> > > > I have created example application to run Ignite Data Frame on
> > standalone
> > > > Spark cluster.
> > > > With Data Frame API implementation there are no requirements to have
> > any
> > > > Ignite files on spark worker nodes.
> > > >
> > > > I ran this application on the free dataset: ATP tennis match
> > statistics.
> > > >
> > > > data - https://github.com/nizhikov/atp_matches
> > > > app - https://github.com/nizhikov/ignite-spark-df-example
> > > >
> > > > Valentin, do you have a chance to look at my changes?
> > > >
> > > >
> > > > 2017-10-12 6:03 GMT+03:00 Valentin Kulichenko <
> > > > valentin.kulichenko@gmail.com
> > > > >:
> > > >
> > > > > Hi Nikolay,
> > > > >
> > > > > Sorry for delay on this, got a little swamped lately. I will do my
> > best
> > > > to
> > > > > review the code this week.
> > > > >
> > > > > -Val
> > > > >
> > > > > On Mon, Oct 9, 2017 at 11:48 AM, Николай Ижиков <
> > > nizhikov.dev@gmail.com>
> > > > > wrote:
> > > > >
> > > > >> Hello, Valentin.
> > > > >>
> > > > >> Did you have a chance to look at my changes?
> > > > >>
> > > > >> Now I think I have done almost all required features.
> > > > >> I want to make some performance test to ensure my implementation
> > work
> > > > >> properly with a significant amount of data.
> > > > >> And I definitely need some feedback for my changes.
> > > > >>
> > > > >>
> > > > >> 2017-10-09 18:45 GMT+03:00 Николай Ижиков <nizhikov.dev@gmail.com
> >:
> > > > >>
> > > > >>> Hello, guys.
> > > > >>>
> > > > >>> Which version of Spark do we want to use?
> > > > >>>
> > > > >>> 1. Currently, Ignite depends on Spark 2.1.0.
> > > > >>>
> > > > >>>     * Can be run on JDK 7.
> > > > >>>     * Still supported: 2.1.2 will be released soon.
> > > > >>>
> > > > >>> 2. Latest Spark version is 2.2.0.
> > > > >>>
> > > > >>>     * Can be run only on JDK 8+
> > > > >>>     * Released Jul 11, 2017.
> > > > >>>     * Already supported by huge vendors(Amazon for example).
> > > > >>>
> > > > >>> Note that in IGNITE-3084 I implement some internal Spark
API.
> > > > >>> So It will take some effort to switch between Spark 2.1 and
2.2
> > > > >>>
> > > > >>>
> > > > >>> 2017-09-27 2:20 GMT+03:00 Valentin Kulichenko <
> > > > >>> valentin.kulichenko@gmail.com>:
> > > > >>>
> > > > >>>> I will review in the next few days.
> > > > >>>>
> > > > >>>> -Val
> > > > >>>>
> > > > >>>> On Tue, Sep 26, 2017 at 2:23 PM, Denis Magda <dmagda@apache.org
> >
> > > > wrote:
> > > > >>>>
> > > > >>>> > Hello Nikolay,
> > > > >>>> >
> > > > >>>> > This is good news. Finally this capability is coming
to
> Ignite.
> > > > >>>> >
> > > > >>>> > Val, Vladimir, could you do a preliminary review?
> > > > >>>> >
> > > > >>>> > Answering on your questions.
> > > > >>>> >
> > > > >>>> > 1. Yardstick should be enough for performance measurements.
> As a
> > > > Spark
> > > > >>>> > user, I will be curious to know what’s the point
of this
> > > > integration.
> > > > >>>> > Probably we need to compare Spark + Ignite and Spark
+ Hive or
> > > > Spark +
> > > > >>>> > RDBMS cases.
> > > > >>>> >
> > > > >>>> > 2. If Spark community is reluctant let’s include
the module in
> > > > >>>> > ignite-spark integration.
> > > > >>>> >
> > > > >>>> > —
> > > > >>>> > Denis
> > > > >>>> >
> > > > >>>> > > On Sep 25, 2017, at 11:14 AM, Николай
Ижиков <
> > > > >>>> nizhikov.dev@gmail.com>
> > > > >>>> > wrote:
> > > > >>>> > >
> > > > >>>> > > Hello, guys.
> > > > >>>> > >
> > > > >>>> > > Currently, I’m working on integration between
Spark and
> Ignite
> > > > [1].
> > > > >>>> > >
> > > > >>>> > > For now, I implement following:
> > > > >>>> > >    * Ignite DataSource implementation(
> IgniteRelationProvider)
> > > > >>>> > >    * DataFrame support for Ignite SQL table.
> > > > >>>> > >    * IgniteCatalog implementation for a transparent
> resolving
> > of
> > > > >>>> ignites
> > > > >>>> > > SQL tables.
> > > > >>>> > >
> > > > >>>> > > Implementation of it can be found in PR [2]
> > > > >>>> > > It would be great if someone provides feedback
for a
> > prototype.
> > > > >>>> > >
> > > > >>>> > > I made some examples in PR so you can see how
API suppose to
> > be
> > > > >>>> used [3].
> > > > >>>> > > [4].
> > > > >>>> > >
> > > > >>>> > > I need some advice. Can you help me?
> > > > >>>> > >
> > > > >>>> > > 1. How should this PR be tested?
> > > > >>>> > >
> > > > >>>> > > Of course, I need to provide some unit tests.
But what about
> > > > >>>> scalability
> > > > >>>> > > tests, etc.
> > > > >>>> > > Maybe we need some Yardstick benchmark or similar?
> > > > >>>> > > What are your thoughts?
> > > > >>>> > > Which scenarios should I consider in the first
place?
> > > > >>>> > >
> > > > >>>> > > 2. Should we provide Spark Catalog implementation
inside
> > Ignite
> > > > >>>> codebase?
> > > > >>>> > >
> > > > >>>> > > A current implementation of Spark Catalog based
on *internal
> > > Spark
> > > > >>>> API*.
> > > > >>>> > > Spark community seems not interested in making
Catalog API
> > > public
> > > > or
> > > > >>>> > > including Ignite Catalog in Spark code base
[5], [6].
> > > > >>>> > >
> > > > >>>> > > *Should we include Spark internal API implementation
inside
> > > Ignite
> > > > >>>> code
> > > > >>>> > > base?*
> > > > >>>> > >
> > > > >>>> > > Or should we consider to include Catalog implementation
in
> > some
> > > > >>>> external
> > > > >>>> > > module?
> > > > >>>> > > That will be created and released outside Ignite?(we
still
> can
> > > > >>>> support
> > > > >>>> > and
> > > > >>>> > > develop it inside Ignite community).
> > > > >>>> > >
> > > > >>>> > > [1] https://issues.apache.org/jira/browse/IGNITE-3084
> > > > >>>> > > [2] https://github.com/apache/ignite/pull/2742
> > > > >>>> > > [3] https://github.com/apache/ignite/pull/2742/files#diff-
> > > > >>>> > > f4ff509cef3018e221394474775e0905
> > > > >>>> > > [4] https://github.com/apache/ignite/pull/2742/files#diff-
> > > > >>>> > > f2b670497d81e780dfd5098c5dd8a89c
> > > > >>>> > > [5] http://apache-spark-developers-list.1001551.n3.
> > > > >>>> > > nabble.com/Spark-Core-Custom-Catalog-Integration-between-
> > > > >>>> > > Apache-Ignite-and-Apache-Spark-td22452.html
> > > > >>>> > > [6] https://issues.apache.org/jira/browse/SPARK-17767
> > > > >>>> > >
> > > > >>>> > > --
> > > > >>>> > > Nikolay Izhikov
> > > > >>>> > > NIzhikov.dev@gmail.com
> > > > >>>> >
> > > > >>>> >
> > > > >>>>
> > > > >>>
> > > > >>>
> > > > >>>
> > > > >>> --
> > > > >>> Nikolay Izhikov
> > > > >>> NIzhikov.dev@gmail.com
> > > > >>>
> > > > >>
> > > > >>
> > > > >>
> > > > >> --
> > > > >> Nikolay Izhikov
> > > > >> NIzhikov.dev@gmail.com
> > > > >>
> > > > >
> > > > >
> > > >
> > > >
> > > > --
> > > > Nikolay Izhikov
> > > > NIzhikov.dev@gmail.com
> > > >
> > >
> >
> >
> >
> > --
> > Nikolay Izhikov
> > NIzhikov.dev@gmail.com
> >
>

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