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[ ![ Kotlin Stable] ( https://kotl.in/badges/stable.svg )] ( https://kotlinlang.org/docs/components-stability.html )
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[ ![ JetBrains official project] ( http://jb.gg/badges/official.svg )] ( https://confluence.jetbrains.com/display/ALL/JetBrains+on+GitHub )
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- [ ![ Maven Central] ( https://img.shields.io/maven-central/v/org.jetbrains.kotlinx.spark/kotlin-spark-api_3.3.0_2 .13.svg?label=Maven%20Central )] ( https://search.maven.org/search?q=g:"org.jetbrains.kotlinx.spark"%20AND%20a:"kotlin-spark-api_3.3.0_2 .13" )
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+ [ ![ Maven Central] ( https://img.shields.io/maven-central/v/org.jetbrains.kotlinx.spark/kotlin-spark-api_3.3.1_2 .13.svg?label=Maven%20Central )] ( https://search.maven.org/search?q=g:"org.jetbrains.kotlinx.spark"%20AND%20a:"kotlin-spark-api_3.3.1_2 .13" )
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[ ![ Join the chat at https://gitter.im/JetBrains/kotlin-spark-api ] ( https://badges.gitter.im/JetBrains/kotlin-spark-api.svg )] ( https://gitter.im/JetBrains/kotlin-spark-api?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge )
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Your next API to work with [ Apache Spark] ( https://spark.apache.org/ ) .
@@ -38,8 +38,14 @@ We have opened a Spark Project Improvement Proposal: [Kotlin support for Apache
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| Apache Spark | Scala | Kotlin for Apache Spark |
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| :------------:| :-----:| :-----------------------------------:|
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+ | 3.3.1 | 2.13 | kotlin-spark-api_3.3.1_2.13: VERSION |
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+ | | 2.12 | kotlin-spark-api_3.3.1_2.12: VERSION |
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| 3.3.0 | 2.13 | kotlin-spark-api_3.3.0_2.13: VERSION |
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| | 2.12 | kotlin-spark-api_3.3.0_2.12: VERSION |
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+ | 3.2.3 | 2.13 | kotlin-spark-api_3.2.3_2.13: VERSION |
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+ | | 2.12 | kotlin-spark-api_3.2.3_2.12: VERSION |
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+ | 3.2.2 | 2.13 | kotlin-spark-api_3.2.2_2.13: VERSION |
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+ | | 2.12 | kotlin-spark-api_3.2.2_2.12: VERSION |
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| 3.2.1 | 2.13 | kotlin-spark-api_3.2.1_2.13: VERSION |
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| | 2.12 | kotlin-spark-api_3.2.1_2.12: VERSION |
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| 3.2.0 | 2.13 | kotlin-spark-api_3.2.0_2.13: VERSION |
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The only exception to this is ` scala-tuples-in-kotlin_[Scala core version]:[Kotlin for Apache Spark API version] ` , which is
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independent of Spark.
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- [ ![ Maven Central] ( https://img.shields.io/maven-central/v/org.jetbrains.kotlinx.spark/kotlin-spark-api_3.3.0_2 .13.svg?label=Maven%20Central )] ( https://search.maven.org/search?q=g:"org.jetbrains.kotlinx.spark"%20AND%20a:"kotlin-spark-api_3.3.0_2 .13" )
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+ [ ![ Maven Central] ( https://img.shields.io/maven-central/v/org.jetbrains.kotlinx.spark/kotlin-spark-api_3.3.1_2 .13.svg?label=Maven%20Central )] ( https://search.maven.org/search?q=g:"org.jetbrains.kotlinx.spark"%20AND%20a:"kotlin-spark-api_3.3.1_2 .13" )
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## How to configure Kotlin for Apache Spark in your project
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@@ -78,7 +84,7 @@ Here's an example `pom.xml`:
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``` xml
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<dependency >
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<groupId >org.jetbrains.kotlinx.spark</groupId >
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- <artifactId >kotlin-spark-api_3.3.0_2 .13</artifactId >
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+ <artifactId >kotlin-spark-api_3.3.1_2 .13</artifactId >
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<version >${kotlin-spark-api.version}</version >
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</dependency >
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<dependency >
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to the top of your notebook. This will get the latest version of the API, together with the latest version of Spark.
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To define a certain version of Spark or the API itself, simply add it like this:
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``` jupyterpython
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- %use spark(spark=3.3.0 , scala=2.13, v=1.2.0 )
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+ %use spark(spark=3.3.1 , scala=2.13, v=1.2.2 )
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```
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Inside the notebook a Spark session will be initiated automatically. This can be accessed via the ` spark ` value.
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