Make all undocumented unintended public API parts private (#331)

Needed by #330.

Author: EnricoMi

src/main/scala-spark-3.2/uk/co/gresearch/spark/parquet/BlockMetaDataUtil.scala

@@ -18,6 +18,6 @@ package uk.co.gresearch.spark.parquet
 
 import org.apache.parquet.hadoop.metadata.BlockMetaData
 
-object BlockMetaDataUtil {
+private[spark] object BlockMetaDataUtil {
   def getOrdinal(block: BlockMetaData): Option[Int] = Some(block.getOrdinal)
 }

src/main/scala-spark-3.2/uk/co/gresearch/spark/parquet/PrimitiveTypeUtil.scala

@@ -18,7 +18,7 @@ package uk.co.gresearch.spark.parquet
 
 import org.apache.parquet.schema.PrimitiveType
 
-object PrimitiveTypeUtil {
+private[spark] object PrimitiveTypeUtil {
   def getLogicalTypeAnnotation(primitive: PrimitiveType): Option[String] =
     Option(primitive.getLogicalTypeAnnotation).map(_.toString)
 }

src/main/scala-spark-3.2/uk/co/gresearch/spark/parquet/SplitFile.scala

@@ -18,8 +18,8 @@ package uk.co.gresearch.spark.parquet
 
 import org.apache.spark.sql.execution.datasources.PartitionedFile
 
-case class SplitFile(filePath: String, start: Long, length: Long, fileSize: Option[Long])
+private[spark] case class SplitFile(filePath: String, start: Long, length: Long, fileSize: Option[Long])
 
-object SplitFile {
+private[spark] object SplitFile {
   def apply(file: PartitionedFile): SplitFile = SplitFile(file.filePath, file.start, file.length, None)
 }

src/main/scala-spark-3.3/uk/co/gresearch/spark/parquet/SplitFile.scala

@@ -18,8 +18,8 @@ package uk.co.gresearch.spark.parquet
 
 import org.apache.spark.sql.execution.datasources.PartitionedFile
 
-case class SplitFile(filePath: String, start: Long, length: Long, fileSize: Option[Long])
+private[spark] case class SplitFile(filePath: String, start: Long, length: Long, fileSize: Option[Long])
 
-object SplitFile {
+private[spark] object SplitFile {
   def apply(file: PartitionedFile): SplitFile = SplitFile(file.filePath, file.start, file.length, Some(file.fileSize))
 }

src/main/scala-spark-3.4/uk/co/gresearch/spark/parquet/FileMetaDataUtil.scala

@@ -18,6 +18,6 @@ package uk.co.gresearch.spark.parquet
 
 import org.apache.parquet.hadoop.metadata.FileMetaData
 
-object FileMetaDataUtil {
+private[spark] object FileMetaDataUtil {
   def getEncryptionType(fileMetaData: FileMetaData): Option[String] = None
 }

src/main/scala-spark-3.5/uk/co/gresearch/spark/parquet/FileMetaDataUtil.scala

@@ -18,7 +18,7 @@ package uk.co.gresearch.spark.parquet
 
 import org.apache.parquet.hadoop.metadata.FileMetaData
 
-object FileMetaDataUtil {
+private[spark] object FileMetaDataUtil {
   def getEncryptionType(fileMetaData: FileMetaData): Option[String] =
     Some(fileMetaData.getEncryptionType.name())
 }

src/main/scala-spark-4.0/uk/co/gresearch/spark/parquet/SplitFile.scala

@@ -18,8 +18,8 @@ package uk.co.gresearch.spark.parquet
 
 import org.apache.spark.sql.execution.datasources.PartitionedFile
 
-case class SplitFile(filePath: String, start: Long, length: Long, fileSize: Option[Long])
+private[spark] case class SplitFile(filePath: String, start: Long, length: Long, fileSize: Option[Long])
 
-object SplitFile {
+private[spark] object SplitFile {
   def apply(file: PartitionedFile): SplitFile = SplitFile(file.filePath.toString, file.start, file.length, Some(file.fileSize))
 }

src/main/scala/uk/co/gresearch/spark/group/package.scala

@@ -76,7 +76,7 @@ package object group {
     }
   }
 
-  object SortedGroupByDataset {
+  private[spark] object SortedGroupByDataset {
     def apply[K: Ordering: Encoder, V](
         ds: Dataset[V],
         groupColumns: Seq[Column],
@@ -149,7 +149,7 @@ package object group {
     }
   }
 
-  class GroupedIterator[K: Ordering, V](iter: Iterator[(K, V)]) extends Iterator[(K, Iterator[V])] {
+  private[group] class GroupedIterator[K: Ordering, V](iter: Iterator[(K, V)]) extends Iterator[(K, Iterator[V])] {
     private val values = iter.buffered
     private var currentKey: Option[K] = None
     private var currentGroup: Option[Iterator[V]] = None
@@ -180,7 +180,7 @@ package object group {
     }
   }
 
-  class GroupIterator[K: Ordering, V](iter: BufferedIterator[(K, V)]) extends Iterator[V] {
+  private[group] class GroupIterator[K: Ordering, V](iter: BufferedIterator[(K, V)]) extends Iterator[V] {
     private val ordering = implicitly[Ordering[K]]
     private val key = iter.head._1
 

src/main/scala/uk/co/gresearch/spark/parquet/package.scala

@@ -29,7 +29,7 @@ import scala.collection.JavaConverters.{collectionAsScalaIterableConverter, mapA
 import scala.collection.convert.ImplicitConversions.`iterable AsScalaIterable`
 
 package object parquet {
-  lazy val conf = new Configuration()
+  private lazy val conf = new Configuration()
 
   /**
    * Implicit class to extend a Spark DataFrameReader.