[Build] Enable MiMa checks for SQL

Now that 1.3 has been released, we should enable MiMa checks for the `sql` subproject.

Author: Josh Rosen <joshrosen@databricks.com>

Closes #5727 from JoshRosen/enable-more-mima-checks and squashes the following commits:

3ad302b [Josh Rosen] Merge remote-tracking branch 'origin/master' into enable-more-mima-checks
0c48e4d [Josh Rosen] Merge remote-tracking branch 'origin/master' into enable-more-mima-checks
e276cee [Josh Rosen] Fix SQL MiMa checks via excludes and private[sql]
44d0d01 [Josh Rosen] Add back 'launcher' exclude
1aae027 [Josh Rosen] Enable MiMa checks for launcher and sql projects.

project/MimaExcludes.scala

@@ -88,6 +88,22 @@ object MimaExcludes {
               "org.apache.spark.mllib.linalg.Vector.toSparse"),
             ProblemFilters.exclude[MissingMethodProblem](
               "org.apache.spark.mllib.linalg.Vector.numActives")
+          ) ++ Seq(
+            // This `protected[sql]` method was removed in 1.3.1
+            ProblemFilters.exclude[MissingMethodProblem](
+              "org.apache.spark.sql.SQLContext.checkAnalysis"),
+            // This `private[sql]` class was removed in 1.4.0:
+            ProblemFilters.exclude[MissingClassProblem](
+              "org.apache.spark.sql.execution.AddExchange"),
+            ProblemFilters.exclude[MissingClassProblem](
+              "org.apache.spark.sql.execution.AddExchange$"),
+            // These test support classes were moved out of src/main and into src/test:
+            ProblemFilters.exclude[MissingClassProblem](
+              "org.apache.spark.sql.parquet.ParquetTestData"),
+            ProblemFilters.exclude[MissingClassProblem](
+              "org.apache.spark.sql.parquet.ParquetTestData$"),
+            ProblemFilters.exclude[MissingClassProblem](
+              "org.apache.spark.sql.parquet.TestGroupWriteSupport")
           )
 
         case v if v.startsWith("1.3") =>

project/SparkBuild.scala

@@ -156,9 +156,8 @@ object SparkBuild extends PomBuild {
   /* Enable tests settings for all projects except examples, assembly and tools */
   (allProjects ++ optionallyEnabledProjects).foreach(enable(TestSettings.settings))
 
-  // TODO: Add Sql to mima checks
-  // TODO: remove launcher from this list after 1.3.
-  allProjects.filterNot(x => Seq(spark, sql, hive, hiveThriftServer, catalyst, repl,
+  // TODO: remove launcher from this list after 1.4.0
+  allProjects.filterNot(x => Seq(spark, hive, hiveThriftServer, catalyst, repl,
     networkCommon, networkShuffle, networkYarn, launcher, unsafe).contains(x)).foreach {
       x => enable(MimaBuild.mimaSettings(sparkHome, x))(x)
     }

sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala

@@ -84,7 +84,7 @@ object RDDConversions {
 }
 
 /** Logical plan node for scanning data from an RDD. */
-case class LogicalRDD(output: Seq[Attribute], rdd: RDD[Row])(sqlContext: SQLContext)
+private[sql] case class LogicalRDD(output: Seq[Attribute], rdd: RDD[Row])(sqlContext: SQLContext)
   extends LogicalPlan with MultiInstanceRelation {
 
   override def children: Seq[LogicalPlan] = Nil
@@ -105,11 +105,12 @@ case class LogicalRDD(output: Seq[Attribute], rdd: RDD[Row])(sqlContext: SQLCont
 }
 
 /** Physical plan node for scanning data from an RDD. */
-case class PhysicalRDD(output: Seq[Attribute], rdd: RDD[Row]) extends LeafNode {
+private[sql] case class PhysicalRDD(output: Seq[Attribute], rdd: RDD[Row]) extends LeafNode {
   override def execute(): RDD[Row] = rdd
 }
 
 /** Logical plan node for scanning data from a local collection. */
+private[sql]
 case class LogicalLocalTable(output: Seq[Attribute], rows: Seq[Row])(sqlContext: SQLContext)
    extends LogicalPlan with MultiInstanceRelation {
 

sql/core/src/main/scala/org/apache/spark/sql/execution/LocalTableScan.scala

@@ -26,7 +26,7 @@ import org.apache.spark.sql.catalyst.expressions.Attribute
 /**
  * Physical plan node for scanning data from a local collection.
  */
-case class LocalTableScan(output: Seq[Attribute], rows: Seq[Row]) extends LeafNode {
+private[sql] case class LocalTableScan(output: Seq[Attribute], rows: Seq[Row]) extends LeafNode {
 
   private lazy val rdd = sqlContext.sparkContext.parallelize(rows)
 

sql/core/src/main/scala/org/apache/spark/sql/execution/commands.scala

@@ -42,7 +42,7 @@ trait RunnableCommand extends logical.Command {
  * A physical operator that executes the run method of a `RunnableCommand` and
  * saves the result to prevent multiple executions.
  */
-case class ExecutedCommand(cmd: RunnableCommand) extends SparkPlan {
+private[sql] case class ExecutedCommand(cmd: RunnableCommand) extends SparkPlan {
   /**
    * A concrete command should override this lazy field to wrap up any side effects caused by the
    * command or any other computation that should be evaluated exactly once. The value of this field