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Copy file name to clipboardExpand all lines: docs/_docs/spark-3.2/spark-3.2.adoc
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// limitations under the License.
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= Using Spark with Apache Ignite
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This spark module provides an implementation of Spark RDD abstraction which enables easy access to Ignite caches.
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This module provides an implementation of Spark RDD abstraction, providing access to Ignite caches from your Spark project.
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To use Ignite Spark-3.2 module
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== Using Spark3.2 Integration
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. Import it to your Maven project. If you are using Maven to manage dependencies of your project, you can add an Ignite
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Spark-3.2 module dependency like this (replace `${ignite-spark-3.2-ext.version}` with actual Ignite Spark-3.2 Extension version you are interested in):
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. Import the extension to your Maven project. If you are using Maven to manage dependencies of your project, you can add an Ignite
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Spark-3.2 module dependency in the following way (replace `${ignite-spark-3.2-ext.version}` with actual Ignite Spark-3.2 Extension version you are interested in):
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[tabs]
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----
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--
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. Make sure that all required libraries are presented in the classpath
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when run the application using the spark-submit command or add them to your POM file.
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. Make sure that all required libraries are present in the classpath
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if you run the application by using the spark-submit command, or add them to your POM file:
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Versions:
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* `${scala-version}` -- 2.12
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* `${spark-version}` -- 3.2
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* `${ignite-versions}` -- the version of Apache Ignite that you use
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NOTE: We support any minor version of Scala 2.12, Spark 3.2 and all versions of Apache Ignite.
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