Update for 0.18.0, move CICD configs to supported Spark versions (#680)

.github/workflows/test_spark_3_2_java_8.yml → .github/workflows/test_spark_3_3_java_8.yml

@@ -1,4 +1,4 @@
-name: Spark 3.2 / Java 8 / Scala 2.12
+name: Spark 3.3 / Java 8 / Scala 2.12
 on:
   push:
     branches: [master]
@@ -14,4 +14,4 @@ jobs:
         with:
           java-version: 'adopt@1.8'
       - name: Build and test
-        run: sbt -Dspark.testVersion=3.2.4 ++2.12.15 clean mimaReportBinaryIssues test
+        run: sbt -Dspark.testVersion=3.3.4 ++2.12.15 clean mimaReportBinaryIssues test

.github/workflows/test_spark_3_4_java_11.yml

@@ -1,4 +1,4 @@
-name: Spark 3.4 / Java 11 / Scala 2.13
+name: Spark 3.4 / Java 11 / Scala 2.12
 on:
   push:
     branches: [master]
@@ -14,4 +14,4 @@ jobs:
         with:
           java-version: 'adopt@1.11'
       - name: Build and test
-        run: sbt -Dspark.testVersion=3.4.1 ++2.13.8 clean scalastyle test:scalastyle mimaReportBinaryIssues test
+        run: sbt -Dspark.testVersion=3.4.1 ++2.12.15 clean mimaReportBinaryIssues test

.github/workflows/test_spark_3_3_java_11.yml → .github/workflows/test_spark_3_5_java_11.yml

@@ -1,4 +1,4 @@
-name: Spark 3.3 / Java 11 / Scala 2.13
+name: Spark 3.5 / Java 11 / Scala 2.13
 on:
   push:
     branches: [master]
@@ -14,4 +14,4 @@ jobs:
         with:
           java-version: 'adopt@1.11'
       - name: Build and test
-        run: sbt -Dspark.testVersion=3.3.3 ++2.13.8 clean mimaReportBinaryIssues test
+        run: sbt -Dspark.testVersion=3.5.1 ++2.13.8 clean scalastyle test:scalastyle mimaReportBinaryIssues test

README.md

@@ -16,15 +16,15 @@ You can link against this library in your program at the following coordinates:
 ```
 groupId: com.databricks
 artifactId: spark-xml_2.12
-version: 0.17.0
+version: 0.18.0
 ```
 
 ## Using with Spark shell
 
 This package can be added to Spark using the `--packages` command line option. For example, to include it when starting the spark shell:
 
 ```
-$SPARK_HOME/bin/spark-shell --packages com.databricks:spark-xml_2.12:0.17.0
+$SPARK_HOME/bin/spark-shell --packages com.databricks:spark-xml_2.12:0.18.0
 ```
 
 ## Features
@@ -410,7 +410,7 @@ Automatically infer schema (data types)
 ```R
 library(SparkR)
 
-sparkR.session("local[4]", sparkPackages = c("com.databricks:spark-xml_2.12:0.17.0"))
+sparkR.session("local[4]", sparkPackages = c("com.databricks:spark-xml_2.12:0.18.0"))
 
 df <- read.df("books.xml", source = "xml", rowTag = "book")
 
@@ -422,7 +422,7 @@ You can manually specify schema:
 ```R
 library(SparkR)
 
-sparkR.session("local[4]", sparkPackages = c("com.databricks:spark-xml_2.12:0.17.0"))
+sparkR.session("local[4]", sparkPackages = c("com.databricks:spark-xml_2.12:0.18.0"))
 customSchema <- structType(
   structField("_id", "string"),
   structField("author", "string"),

build.sbt

@@ -2,7 +2,7 @@ import com.typesafe.tools.mima.core.MissingClassProblem
 
 name := "spark-xml"
 
-version := "0.17.0"
+version := "0.18.0"
 
 organization := "com.databricks"
 
@@ -12,7 +12,7 @@ crossScalaVersions := Seq("2.12.15", "2.13.8")
 
 scalacOptions := Seq("-unchecked", "-deprecation")
 
-val sparkVersion = sys.props.get("spark.testVersion").getOrElse("3.4.1")
+val sparkVersion = sys.props.get("spark.testVersion").getOrElse("3.5.1")
 
 // To avoid packaging it, it's Provided below
 autoScalaLibrary := false
@@ -81,7 +81,7 @@ fork := true
 // Prints JUnit tests in output
 Test / testOptions := Seq(Tests.Argument(TestFrameworks.JUnit, "-v"))
 
-mimaPreviousArtifacts := Set("com.databricks" %% "spark-xml" % "0.16.0")
+mimaPreviousArtifacts := Set("com.databricks" %% "spark-xml" % "0.17.0")
 
 mimaBinaryIssueFilters ++= {
   Seq()