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https://issues.apache.org/jira/browse/IGNITE-3084?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Denis Magda updated IGNITE-3084:
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Description:
Apache Spark already benefits from integration with Apache Ignite. The latter
provides shared RDDs, an implementation of Spark RDD, that help Spark to share
a state between Spark workers and execute SQL queries much faster. The next
logical step is to enable support for modern Spark Data Frames API in a similar
way.
As a contributor, you will be fully in charge of the integration of Spark Data
Frame API and Apache Ignite.
was:
Apache Spark already benefits from integration with Apache Ignite. The latter
provides shared RDDs, an implementation of Spark RDD, that help Spark to share
a state between Spark workers and execute SQL queries much faster. The next
logical step is to enable support for modern Spark Data Frames API in a similar
way.
As a contributor, you will be fully in charge of the integration with Spark
Data Frame API and Apache Ignite.
> Investigate how Ignite can support Spark DataFrame
> --------------------------------------------------
>
> Key: IGNITE-3084
> URL: https://issues.apache.org/jira/browse/IGNITE-3084
> Project: Ignite
> Issue Type: Task
> Components: Ignite RDD
> Affects Versions: 1.5.0.final
> Reporter: Vladimir Ozerov
> Assignee: Valentin Kulichenko
> Labels: bigdata, gsoc2017
> Fix For: 2.0
>
>
> Apache Spark already benefits from integration with Apache Ignite. The latter
> provides shared RDDs, an implementation of Spark RDD, that help Spark to
> share a state between Spark workers and execute SQL queries much faster. The
> next logical step is to enable support for modern Spark Data Frames API in a
> similar way.
> As a contributor, you will be fully in charge of the integration of Spark
> Data Frame API and Apache Ignite.
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