Merge pull request #203 from Kotlin/1.2.4

1.2.4

.github/workflows/build.yml

@@ -12,7 +12,7 @@ jobs:
     strategy:
       matrix:
         scala: [ "2.12.17", "2.13.10" ]
-        spark: [ "3.3.1", "3.3.0", "3.2.3", "3.2.2", "3.2.1", "3.2.0", "3.1.3", "3.1.2", "3.1.1", "3.1.0", "3.0.3", "3.0.2", "3.0.1", "3.0.0" ]
+        spark: [ "3.3.2", "3.3.1", "3.3.0", "3.2.3", "3.2.2", "3.2.1", "3.2.0", "3.1.3", "3.1.2", "3.1.1", "3.1.0", "3.0.3", "3.0.2", "3.0.1", "3.0.0" ]
         exclude:
           - scala: "2.13.10"
             spark: "3.1.3"

.github/workflows/publish_dev_version.yml

@@ -10,7 +10,7 @@ jobs:
     strategy:
       matrix:
         scala: [ "2.12.17", "2.13.10" ]
-        spark: [ "3.3.1", "3.3.0", "3.2.3", "3.2.2", "3.2.1", "3.2.0", "3.1.3", "3.1.2", "3.1.1", "3.1.0", "3.0.3", "3.0.2", "3.0.1", "3.0.0" ]
+        spark: [ "3.3.2", "3.3.1", "3.3.0", "3.2.3", "3.2.2", "3.2.1", "3.2.0", "3.1.3", "3.1.2", "3.1.1", "3.1.0", "3.0.3", "3.0.2", "3.0.1", "3.0.0" ]
         exclude:
           - scala: "2.13.10"
             spark: "3.1.3"

.github/workflows/publish_release_version.yml

@@ -9,7 +9,7 @@ jobs:
     strategy:
       matrix:
         scala: [ "2.12.17", "2.13.10" ]
-        spark: [ "3.3.1", "3.3.0", "3.2.3", "3.2.2", "3.2.1", "3.2.0", "3.1.3", "3.1.2", "3.1.1", "3.1.0", "3.0.3", "3.0.2", "3.0.1", "3.0.0" ]
+        spark: [ "3.3.2", "3.3.1", "3.3.0", "3.2.3", "3.2.2", "3.2.1", "3.2.0", "3.1.3", "3.1.2", "3.1.1", "3.1.0", "3.0.3", "3.0.2", "3.0.1", "3.0.0" ]
         exclude:
           - scala: "2.13.10"
             spark: "3.1.3"

README.md

@@ -2,7 +2,7 @@
 
 [![Kotlin Stable](https://kotl.in/badges/stable.svg)](https://kotlinlang.org/docs/components-stability.html)
 [![JetBrains official project](http://jb.gg/badges/official.svg)](https://confluence.jetbrains.com/display/ALL/JetBrains+on+GitHub)
-[![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")
+[![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")
 [![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)
 
 Your next API to work with  [Apache Spark](https://spark.apache.org/). 
@@ -38,6 +38,8 @@ We have opened a Spark Project Improvement Proposal: [Kotlin support for Apache
 
 | Apache Spark | Scala |       Kotlin for Apache Spark       |
 |:------------:|:-----:|:-----------------------------------:|
+|    3.3.2     | 2.13  | kotlin-spark-api_3.3.2_2.13:VERSION |
+|              | 2.12  | kotlin-spark-api_3.3.2_2.12:VERSION |
 |    3.3.1     | 2.13  | kotlin-spark-api_3.3.1_2.13:VERSION |
 |              | 2.12  | kotlin-spark-api_3.3.1_2.12:VERSION |
 |    3.3.0     | 2.13  | kotlin-spark-api_3.3.0_2.13:VERSION |
@@ -73,7 +75,7 @@ The Kotlin for Spark artifacts adhere to the following convention:
 The only exception to this is `scala-tuples-in-kotlin_[Scala core version]:[Kotlin for Apache Spark API version]`, which is 
 independent of Spark.
 
-[![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")
+[![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")
 
 ## How to configure Kotlin for Apache Spark in your project
 
@@ -84,7 +86,7 @@ Here's an example `pom.xml`:
 ```xml
 <dependency>
   <groupId>org.jetbrains.kotlinx.spark</groupId>
-  <artifactId>kotlin-spark-api_3.3.1_2.13</artifactId>
+  <artifactId>kotlin-spark-api_3.3.2_2.13</artifactId>
   <version>${kotlin-spark-api.version}</version>
 </dependency>
 <dependency>
@@ -117,7 +119,7 @@ To it, simply add
 to the top of your notebook. This will get the latest version of the API, together with the latest version of Spark.
 To define a certain version of Spark or the API itself, simply add it like this:
 ```jupyterpython
-%use spark(spark=3.3.1, scala=2.13, v=1.2.2)
+%use spark(spark=3.3.2, scala=2.13, v=1.2.3)
 ```
 
 Inside the notebook a Spark session will be initiated automatically. This can be accessed via the `spark` value.

buildSrc/src/main/kotlin/Versions.kt

@@ -1,25 +1,25 @@
 object Versions {
-    const val project = "1.2.3"
+    const val project = "1.2.4"
     const val groupID = "org.jetbrains.kotlinx.spark"
-    const val kotlin = "1.8.0"
+    const val kotlin = "1.8.20"
     const val jvmTarget = "8"
-    const val jupyterJvmTarget = "11"
+    const val jupyterJvmTarget = "8"
 
     inline val spark get() = System.getProperty("spark") as String
     inline val scala get() = System.getProperty("scala") as String
     inline val sparkMinor get() = spark.substringBeforeLast('.')
     inline val scalaCompat get() = scala.substringBeforeLast('.')
 
-    const val jupyter = "0.11.0-210"
+    const val jupyter = "0.12.0-32-1"
     const val kotest = "5.5.4"
     const val kotestTestContainers = "1.3.3"
-    const val dokka = "1.7.10"
+    const val dokka = "1.8.20"
     const val jcp = "7.0.5"
     const val mavenPublish = "0.20.0"
     const val atrium = "0.17.0"
     const val licenseGradlePluginVersion = "0.15.0"
     const val kafkaStreamsTestUtils = "3.1.0"
-    const val hadoop = "3.3.1"
+    const val hadoop = "3.3.6"
     const val kotlinxHtml = "0.7.5"
     const val klaxon = "5.5"
     const val jacksonDatabind = "2.13.4.2"

core/src/main/scala/org/apache/spark/sql/catalyst/CatalystTypeConverters.scala

@@ -82,15 +82,15 @@ object CatalystTypeConverters {
     final def toCatalyst(@Nullable maybeScalaValue: Any): CatalystType = {
       if (maybeScalaValue == null) {
         null.asInstanceOf[CatalystType]
-      } else if (maybeScalaValue.isInstanceOf[Option[ScalaInputType]]) {
-        val opt = maybeScalaValue.asInstanceOf[Option[ScalaInputType]]
-        if (opt.isDefined) {
-          toCatalystImpl(opt.get)
-        } else {
-          null.asInstanceOf[CatalystType]
-        }
-      } else {
-        toCatalystImpl(maybeScalaValue.asInstanceOf[ScalaInputType])
+      } else maybeScalaValue match {
+        case opt: Option[ScalaInputType] =>
+          if (opt.isDefined) {
+            toCatalystImpl(opt.get)
+          } else {
+            null.asInstanceOf[CatalystType]
+          }
+        case _ =>
+          toCatalystImpl(maybeScalaValue.asInstanceOf[ScalaInputType])
       }
     }
 
@@ -429,10 +429,11 @@ object CatalystTypeConverters {
       // a measurable performance impact. Note that this optimization will be unnecessary if we
       // use code generation to construct Scala Row -> Catalyst Row converters.
       def convert(maybeScalaValue: Any): Any = {
-        if (maybeScalaValue.isInstanceOf[Option[Any]]) {
-          maybeScalaValue.asInstanceOf[Option[Any]].orNull
-        } else {
-          maybeScalaValue
+        maybeScalaValue match {
+          case option: Option[Any] =>
+            option.orNull
+          case _ =>
+            maybeScalaValue
         }
       }
 

docs/quick-start-guide.md

@@ -72,13 +72,13 @@ Here's what the `pom.xml` looks like for this example:
         </dependency>
         <dependency> <!-- Kotlin Spark API dependency -->
             <groupId>org.jetbrains.kotlinx.spark</groupId>
-            <artifactId>kotlin-spark-api_3.3.1_2.13</artifactId>
+            <artifactId>kotlin-spark-api_3.3.2_2.13</artifactId>
             <version>1.2.3</version>
         </dependency>
         <dependency> <!-- Spark dependency -->
             <groupId>org.apache.spark</groupId>
             <artifactId>spark-sql_2.12</artifactId>
-            <version>3.3.1</version>
+            <version>3.3.2</version>
         </dependency>
     </dependencies>
 
@@ -163,8 +163,8 @@ dependencies {
   // Kotlin stdlib
   implementation 'org.jetbrains.kotlin:kotlin-stdlib:1.8.0'
   // Kotlin Spark API
-  implementation 'org.jetbrains.kotlinx.spark:kotlin-spark-api_3.3.1_2.13:1.2.3'  // Apache Spark
-  compileOnly 'org.apache.spark:spark-sql_2.12:3.3.1'
+  implementation 'org.jetbrains.kotlinx.spark:kotlin-spark-api_3.3.2_2.13:1.2.3'  // Apache Spark
+  compileOnly 'org.apache.spark:spark-sql_2.12:3.3.2'
 }
 
 compileKotlin {
@@ -198,9 +198,9 @@ dependencies {
   // Kotlin stdlib
   implementation ("org.jetbrains.kotlin:kotlin-stdlib:1.4.0")
   // Kotlin Spark API
-  implementation ("org.jetbrains.kotlinx.spark:kotlin-spark-api_3.3.1_2.13:1.2.3")
+  implementation ("org.jetbrains.kotlinx.spark:kotlin-spark-api_3.3.2_2.13:1.2.3")
   // Apache Spark
-  compileOnly ("org.apache.spark:spark-sql_2.12:3.3.1")
+  compileOnly ("org.apache.spark:spark-sql_2.12:3.3.2")
 }
 
 compileKotlin.kotlinOptions.jvmTarget = "1.8"

gradle.properties

@@ -7,11 +7,11 @@ GROUP=org.jetbrains.kotlinx.spark
 
 # Controls the spark and scala version for the entire project
 # can also be defined like ./gradlew -Pspark=X.X.X -Pscala=X.X.X build
-spark=3.3.1
+spark=3.3.2
 scala=2.13.10
 # scala=2.12.17
 skipScalaTuplesInKotlin=false
 
 org.gradle.caching=true
 org.gradle.parallel=false
-#kotlin.incremental.useClasspathSnapshot=true
+#kotlin.incremental.useClasspathSnapshot=true

jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/Integration.kt

@@ -84,6 +84,7 @@ abstract class Integration(private val notebook: Notebook, private val options:
         "org.jetbrains.kotlin:kotlin-stdlib-jdk8:$kotlinVersion",
         "org.jetbrains.kotlin:kotlin-reflect:$kotlinVersion",
         "org.apache.spark:spark-sql_$scalaCompatVersion:$sparkVersion",
+        "org.apache.spark:spark-yarn_$scalaCompatVersion:$sparkVersion",
         "org.apache.spark:spark-streaming_$scalaCompatVersion:$sparkVersion",
         "org.apache.spark:spark-mllib_$scalaCompatVersion:$sparkVersion",
         "org.apache.spark:spark-sql_$scalaCompatVersion:$sparkVersion",

jupyter/src/test/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/JupyterTests.kt

@@ -59,6 +59,7 @@ class JupyterTests : ShouldSpec({
                 librariesScanner.addLibrariesFromClassLoader(
                     classLoader = currentClassLoader,
                     host = this,
+                    notebook = notebook,
                     integrationTypeNameRules = listOf(
                         PatternNameAcceptanceRule(
                             acceptsFlag = false,
@@ -341,6 +342,7 @@ class JupyterStreamingTests : ShouldSpec({
                 librariesScanner.addLibrariesFromClassLoader(
                     classLoader = currentClassLoader,
                     host = this,
+                    notebook = notebook,
                     integrationTypeNameRules = listOf(
                         PatternNameAcceptanceRule(
                             acceptsFlag = false,