Changes to ParquetRelation and its metadata

The Hadoop configuration is now passed to ParquetRelation (fixes SPARK-2112) and the path is no longer stored in metadata (fixes SPARK-2195)

sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala

@@ -94,7 +94,7 @@ class SQLContext(@transient val sparkContext: SparkContext)
    * @group userf
    */
   def parquetFile(path: String): SchemaRDD =
-    new SchemaRDD(this, parquet.ParquetRelation(path))
+    new SchemaRDD(this, parquet.ParquetRelation(path, Some(sparkContext.hadoopConfiguration)))
 
   /**
    * Loads a JSON file (one object per line), returning the result as a [[SchemaRDD]].

sql/core/src/main/scala/org/apache/spark/sql/api/java/JavaSQLContext.scala

@@ -99,7 +99,9 @@ class JavaSQLContext(val sqlContext: SQLContext) {
    * Loads a parquet file, returning the result as a [[JavaSchemaRDD]].
    */
   def parquetFile(path: String): JavaSchemaRDD =
-    new JavaSchemaRDD(sqlContext, ParquetRelation(path))
+    new JavaSchemaRDD(
+      sqlContext,
+      ParquetRelation(path, Some(sqlContext.sparkContext.hadoopConfiguration)))
 
   /**
    * Loads a JSON file (one object per line), returning the result as a [[JavaSchemaRDD]].

sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetRelation.scala

@@ -43,19 +43,20 @@ import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, LeafNode}
  *
  * @param path The path to the Parquet file.
  */
-private[sql] case class ParquetRelation(val path: String)
-    extends LeafNode with MultiInstanceRelation {
+private[sql] case class ParquetRelation(
+    val path: String,
+    @transient val conf: Option[Configuration] = None) extends LeafNode with MultiInstanceRelation {
   self: Product =>
 
   /** Schema derived from ParquetFile */
   def parquetSchema: MessageType =
     ParquetTypesConverter
-      .readMetaData(new Path(path))
+      .readMetaData(new Path(path), conf)
       .getFileMetaData
       .getSchema
 
   /** Attributes */
-  override val output = ParquetTypesConverter.readSchemaFromFile(new Path(path))
+  override val output = ParquetTypesConverter.readSchemaFromFile(new Path(path), conf)
 
   override def newInstance = ParquetRelation(path).asInstanceOf[this.type]
 
@@ -130,7 +131,7 @@ private[sql] object ParquetRelation {
     }
     ParquetRelation.enableLogForwarding()
     ParquetTypesConverter.writeMetaData(attributes, path, conf)
-    new ParquetRelation(path.toString) {
+    new ParquetRelation(path.toString, Some(conf)) {
       override val output = attributes
     }
   }

sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetTypes.scala

@@ -322,7 +322,6 @@ private[parquet] object ParquetTypesConverter extends Logging {
       }
     }
     val extraMetadata = new java.util.HashMap[String, String]()
-    extraMetadata.put("path", path.toString)
     extraMetadata.put(
       RowReadSupport.SPARK_METADATA_KEY,
       ParquetTypesConverter.convertToString(attributes))
@@ -347,16 +346,15 @@ private[parquet] object ParquetTypesConverter extends Logging {
    * in the parent directory. If so, this is used. Else we read the actual footer at the given
    * location.
    * @param origPath The path at which we expect one (or more) Parquet files.
+   * @param configuration The Hadoop configuration to use.
    * @return The `ParquetMetadata` containing among other things the schema.
    */
-  def readMetaData(origPath: Path): ParquetMetadata = {
+  def readMetaData(origPath: Path, configuration: Option[Configuration]): ParquetMetadata = {
     if (origPath == null) {
       throw new IllegalArgumentException("Unable to read Parquet metadata: path is null")
     }
     val job = new Job()
-    // TODO: since this is called from ParquetRelation (LogicalPlan) we don't have access
-    // to SparkContext's hadoopConfig; in principle the default FileSystem may be different(?!)
-    val conf = ContextUtil.getConfiguration(job)
+    val conf = configuration.getOrElse(ContextUtil.getConfiguration(job))
     val fs: FileSystem = origPath.getFileSystem(conf)
     if (fs == null) {
       throw new IllegalArgumentException(s"Incorrectly formatted Parquet metadata path $origPath")
@@ -390,18 +388,19 @@ private[parquet] object ParquetTypesConverter extends Logging {
    * may lead to an upcast of types (e.g., {byte, short} to int).
    *
    * @param origPath The path at which we expect one (or more) Parquet files.
+   * @param conf The Hadoop configuration to use.
    * @return A list of attributes that make up the schema.
    */
-  def readSchemaFromFile(origPath: Path): Seq[Attribute] = {
+  def readSchemaFromFile(origPath: Path, conf: Option[Configuration]): Seq[Attribute] = {
     val keyValueMetadata: java.util.Map[String, String] =
-      readMetaData(origPath)
+      readMetaData(origPath, conf)
         .getFileMetaData
         .getKeyValueMetaData
     if (keyValueMetadata.get(RowReadSupport.SPARK_METADATA_KEY) != null) {
       convertFromString(keyValueMetadata.get(RowReadSupport.SPARK_METADATA_KEY))
     } else {
       val attributes = convertToAttributes(
-        readMetaData(origPath).getFileMetaData.getSchema)
+        readMetaData(origPath, conf).getFileMetaData.getSchema)
       log.warn(s"Falling back to schema conversion from Parquet types; result: $attributes")
       attributes
     }

sql/core/src/test/scala/org/apache/spark/sql/parquet/ParquetQuerySuite.scala

@@ -207,7 +207,7 @@ class ParquetQuerySuite extends QueryTest with FunSuiteLike with BeforeAndAfterA
       path,
       TestSQLContext.sparkContext.hadoopConfiguration)
     assert(fs.exists(new Path(path, ParquetFileWriter.PARQUET_METADATA_FILE)))
-    val metaData = ParquetTypesConverter.readMetaData(path)
+    val metaData = ParquetTypesConverter.readMetaData(path, Some(ContextUtil.getConfiguration(job)))
     assert(metaData != null)
     ParquetTestData
       .testData