Add Spark 3.4 and 3.5 support

CHANEGELOG.md

@@ -1,3 +1,7 @@
+## 1.0.4
+
+* Add support for Spark 3.4.x and Spark 3.5.x
+
 ## 1.0.2
 
 * Add support for Spark 3.3.x, remove support for Spark 3.0.x
@@ -15,4 +19,3 @@
 ### Breaking changes
 * Protobuf maps are now represented as Spark in maps. Prior to this change
   maps were represented as a list of key-value structs. (#79)
-

build.sbt

@@ -12,6 +12,10 @@ val Scala212 = "2.12.18"
 
 val Scala213 = "2.13.12"
 
+lazy val Spark35 = Spark("3.5.0")
+
+lazy val Spark34 = Spark("3.4.2")
+
 lazy val Spark33 = Spark("3.3.3")
 
 lazy val Spark32 = Spark("3.2.3")
@@ -24,6 +28,8 @@ lazy val ScalaPB0_10 = ScalaPB("0.10.11")
 
 lazy val framelessDatasetName = settingKey[String]("frameless-dataset-name")
 
+lazy val framelessDatasetVersion = settingKey[String]("frameless-dataset-version")
+
 lazy val spark = settingKey[Spark]("spark")
 
 lazy val scalapb = settingKey[ScalaPB]("scalapb")
@@ -44,7 +50,7 @@ lazy val `sparksql-scalapb` = (projectMatrix in file("sparksql-scalapb"))
   .defaultAxes()
   .settings(
     libraryDependencies ++= Seq(
-      "org.typelevel" %% framelessDatasetName.value % "0.14.0",
+      "org.typelevel" %% framelessDatasetName.value % framelessDatasetVersion.value,
       "com.thesamet.scalapb" %% "scalapb-runtime" % scalapb.value.scalapbVersion,
       "com.thesamet.scalapb" %% "scalapb-runtime" % scalapb.value.scalapbVersion % "protobuf",
       "org.apache.spark" %% "spark-sql" % spark.value.sparkVersion % "provided",
@@ -77,10 +83,18 @@ lazy val `sparksql-scalapb` = (projectMatrix in file("sparksql-scalapb"))
     },
     framelessDatasetName := {
       spark.value match {
-        case Spark33 => "frameless-dataset"
-        case Spark32 => "frameless-dataset-spark32"
-        case Spark31 => "frameless-dataset-spark31"
-        case _       => ???
+        case Spark35 | Spark34 | Spark33 => "frameless-dataset"
+        case Spark32                     => "frameless-dataset-spark32"
+        case Spark31                     => "frameless-dataset-spark31"
+        case _                           => ???
+      }
+    },
+    framelessDatasetVersion := {
+      spark.value match {
+        case Spark35 | Spark34 | Spark33 => "0.16.0" // NPE in 3.4, 3.5 if older lib versions used
+        case Spark32                     => "0.15.0" // Spark3.2 support dropped in ver > 0.15.0
+        case Spark31                     => "0.14.0" // Spark3.1 support dropped in ver > 0.14.0
+        case _                           => ???
       }
     },
     name := s"sparksql${spark.value.majorVersion}${spark.value.minorVersion}-${scalapb.value.idSuffix}",
@@ -93,6 +107,16 @@ lazy val `sparksql-scalapb` = (projectMatrix in file("sparksql-scalapb"))
     Test / run / fork := true,
     Test / javaOptions ++= Seq("-Xmx2G")
   )
+  .customRow(
+    scalaVersions = Seq(Scala212, Scala213),
+    axisValues = Seq(Spark35, ScalaPB0_11, VirtualAxis.jvm),
+    settings = Seq()
+  )
+  .customRow(
+    scalaVersions = Seq(Scala212, Scala213),
+    axisValues = Seq(Spark34, ScalaPB0_11, VirtualAxis.jvm),
+    settings = Seq()
+  )
   .customRow(
     scalaVersions = Seq(Scala212, Scala213),
     axisValues = Seq(Spark33, ScalaPB0_11, VirtualAxis.jvm),