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 <avinogra...@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....@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.kuliche...@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....@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....@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.kuliche...@gmail.com>: > > >>> > > >>>> I will review in the next few days. > > >>>> > > >>>> -Val > > >>>> > > >>>> On Tue, Sep 26, 2017 at 2:23 PM, Denis Magda <dma...@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....@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....@gmail.com > > >>>> > > > >>>> > > > >>>> > > >>> > > >>> > > >>> > > >>> -- > > >>> Nikolay Izhikov > > >>> nizhikov....@gmail.com > > >>> > > >> > > >> > > >> > > >> -- > > >> Nikolay Izhikov > > >> nizhikov....@gmail.com > > >> > > > > > > > > > > > > -- > > Nikolay Izhikov > > nizhikov....@gmail.com > > > -- Nikolay Izhikov nizhikov....@gmail.com
