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update docs to reflect spark update
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README.md

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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_3.3.1_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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[![Maven Central](https://img.shields.io/maven-central/v/org.jetbrains.kotlinx.spark/kotlin-spark-api_3.3.2_2.13.svg?label=Maven%20Central)](https://search.maven.org/search?q=g:"org.jetbrains.kotlinx.spark"%20AND%20a:"kotlin-spark-api_3.3.2_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/).
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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_3.3.1_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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[![Maven Central](https://img.shields.io/maven-central/v/org.jetbrains.kotlinx.spark/kotlin-spark-api_3.3.2_2.13.svg?label=Maven%20Central)](https://search.maven.org/search?q=g:"org.jetbrains.kotlinx.spark"%20AND%20a:"kotlin-spark-api_3.3.2_2.13")
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## How to configure Kotlin for Apache Spark in your project
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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_3.3.1_2.13</artifactId>
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<artifactId>kotlin-spark-api_3.3.2_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=3.3.1, scala=2.13, v=1.2.3)
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%use spark(spark=3.3.2, scala=2.13, v=1.2.3)
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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.

docs/quick-start-guide.md

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</dependency>
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<dependency> <!-- Kotlin Spark API dependency -->
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<groupId>org.jetbrains.kotlinx.spark</groupId>
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<artifactId>kotlin-spark-api_3.3.1_2.13</artifactId>
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<artifactId>kotlin-spark-api_3.3.2_2.13</artifactId>
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<version>1.2.3</version>
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</dependency>
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<dependency> <!-- Spark dependency -->
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-sql_2.12</artifactId>
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<version>3.3.1</version>
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<version>3.3.2</version>
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</dependency>
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</dependencies>
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// Kotlin stdlib
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implementation 'org.jetbrains.kotlin:kotlin-stdlib:1.8.0'
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// Kotlin Spark API
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implementation 'org.jetbrains.kotlinx.spark:kotlin-spark-api_3.3.1_2.13:1.2.3' // Apache Spark
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compileOnly 'org.apache.spark:spark-sql_2.12:3.3.1'
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implementation 'org.jetbrains.kotlinx.spark:kotlin-spark-api_3.3.2_2.13:1.2.3' // Apache Spark
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compileOnly 'org.apache.spark:spark-sql_2.12:3.3.2'
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}
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compileKotlin {
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// Kotlin stdlib
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implementation ("org.jetbrains.kotlin:kotlin-stdlib:1.4.0")
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// Kotlin Spark API
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implementation ("org.jetbrains.kotlinx.spark:kotlin-spark-api_3.3.1_2.13:1.2.3")
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implementation ("org.jetbrains.kotlinx.spark:kotlin-spark-api_3.3.2_2.13:1.2.3")
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// Apache Spark
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compileOnly ("org.apache.spark:spark-sql_2.12:3.3.1")
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compileOnly ("org.apache.spark:spark-sql_2.12:3.3.2")
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}
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compileKotlin.kotlinOptions.jvmTarget = "1.8"

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