Github user zhzhan commented on a diff in the pull request:
https://github.com/apache/spark/pull/6135#discussion_r30295959
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/orc/OrcRelation.scala ---
@@ -0,0 +1,176 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hive.orc
+
+import java.util.Objects
+
+import org.apache.hadoop.fs.Path
+import org.apache.hadoop.hive.ql.io.orc.{OrcSerde, OrcOutputFormat}
+import org.apache.hadoop.hive.serde2.objectinspector.{ObjectInspector,
StructObjectInspector}
+import org.apache.hadoop.hive.serde2.typeinfo.{TypeInfoUtils, TypeInfo}
+import org.apache.hadoop.io.{Writable, NullWritable}
+import org.apache.hadoop.mapred.{RecordWriter, Reporter, JobConf}
+import org.apache.hadoop.mapreduce.{TaskID, TaskAttemptContext}
+import org.apache.spark.Logging
+import org.apache.spark.annotation.DeveloperApi
+import org.apache.spark.mapred.SparkHadoopMapRedUtil
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.catalyst.expressions.Attribute
+import org.apache.spark.sql.hive.HiveMetastoreTypes
+import org.apache.spark.sql.types.StructType
+import org.apache.spark.sql.{Row, SQLContext}
+import org.apache.spark.sql.sources._
+import scala.collection.JavaConversions._
+
+
+private[sql] class DefaultSource extends FSBasedRelationProvider {
+
+ def createRelation(
+ sqlContext: SQLContext,
+ paths: Array[String],
+ schema: Option[StructType],
+ partitionColumns: Option[StructType],
+ parameters: Map[String, String]): FSBasedRelation ={
+ val partitionSpec = partitionColumns.map(PartitionSpec(_,
Seq.empty[Partition]))
+ OrcRelation(paths, parameters,
+ schema, partitionSpec)(sqlContext)
+ }
+}
+
+
+private[sql] class OrcOutputWriter extends OutputWriter with
SparkHadoopMapRedUtil {
+ var recordWriter: RecordWriter[NullWritable, Writable] = _
+ var taskAttemptContext: TaskAttemptContext = _
+ var serializer: OrcSerde = _
+ var wrappers: Array[Any => Any] = _
+ var created = false
+ var path: String = _
+ var dataSchema: StructType = _
+ var fieldOIs: Array[ObjectInspector] = _
+ var standardOI: StructObjectInspector = _
+
+
+ override def init(path: String,
+ dataSchema: StructType,
+ context: TaskAttemptContext): Unit = {
+ this.path = path
+ this.dataSchema = dataSchema
+ taskAttemptContext = context
+ }
+
+ // Avoid create empty file without schema attached
+ private def initWriter() = {
+ if (!created) {
+ created = true
+ val conf = taskAttemptContext.getConfiguration
+ val outputFormat = new OrcOutputFormat()
+ val taskId: TaskID = taskAttemptContext.getTaskAttemptID.getTaskID
+ val partition: Int = taskId.getId
+ val filename = s"part-r-${partition}-${System.currentTimeMillis}.orc"
+ val file = new Path(path, filename)
+ val fs = file.getFileSystem(conf)
+ val orcSchema = HiveMetastoreTypes.toMetastoreType(dataSchema)
+
+ serializer = new OrcSerde
+ val typeInfo: TypeInfo =
+ TypeInfoUtils.getTypeInfoFromTypeString(orcSchema)
+ standardOI = TypeInfoUtils
+ .getStandardJavaObjectInspectorFromTypeInfo(typeInfo)
+ .asInstanceOf[StructObjectInspector]
+ fieldOIs = standardOI
+ .getAllStructFieldRefs.map(_.getFieldObjectInspector).toArray
+ wrappers = fieldOIs.map(HadoopTypeConverter.wrappers)
+ recordWriter = {
+ outputFormat.getRecordWriter(fs,
+ conf.asInstanceOf[JobConf],
+ file.toUri.getPath, Reporter.NULL)
+
.asInstanceOf[org.apache.hadoop.mapred.RecordWriter[NullWritable, Writable]]
+ }
+ }
+ }
+ override def write(row: Row): Unit = {
+ initWriter()
+ var i = 0
+ val outputData = new Array[Any](fieldOIs.length)
+ while (i < row.length) {
+ outputData(i) = wrappers(i)(row(i))
+ i += 1
+ }
+ val writable = serializer.serialize(outputData, standardOI)
+ recordWriter.write(NullWritable.get(), writable)
+ }
+
+ override def close(): Unit = {
+ if (recordWriter != null) {
+ recordWriter.close(Reporter.NULL)
+ }
+ }
+}
+
+
+@DeveloperApi
+private[sql] case class OrcRelation(override val paths: Array[String],
+ parameters: Map[String, String],
+ maybeSchema: Option[StructType] = None,
+ maybePartitionSpec: Option[PartitionSpec] = None)(
+ @transient val sqlContext: SQLContext)
+ extends FSBasedRelation(paths, maybePartitionSpec)
+ with Logging {
+ self: Product =>
+ @transient val conf = sqlContext.sparkContext.hadoopConfiguration
+
+
+ override def dataSchema: StructType =
+ maybeSchema.getOrElse(OrcFileOperator.readSchema(paths(0), Some(conf)))
+
+ override def outputWriterClass: Class[_ <: OutputWriter] =
classOf[OrcOutputWriter]
+ /** Attributes */
+ var output: Seq[Attribute] = schema.toAttributes
+
+ override def needConversion: Boolean = false
+
+ // Equals must also take into account the output attributes so that we
can distinguish between
+ // different instances of the same relation,
+ override def equals(other: Any): Boolean = other match {
+ case that: OrcRelation =>
+ paths.toSet == that.paths.toSet &&
+ dataSchema == that.dataSchema &&
+ schema == that.schema &&
+ partitionColumns == that.partitionColumns
+ case _ => false
+ }
+
+ override def hashCode(): Int = {
+ Objects.hashCode(
+ paths.toSet,
+ dataSchema,
+ schema,
+ maybePartitionSpec)
+ }
+ override def buildScan(requiredColumns: Array[String],
+ filters: Array[Filter],
+ inputPaths: Array[String]): RDD[Row] = {
+ val output =
StructType(requiredColumns.map(dataSchema(_))).toAttributes
+ OrcTableScan(output, this, filters, inputPaths).execute()
+ }
+}
+
+private[sql] object OrcRelation extends Logging {
+ // Default partition name to use when the partition column value is null
or empty string.
+ val DEFAULT_PARTITION_NAME = "__HIVE_DEFAULT_PARTITION__"
--- End diff --
Should be exposed by framework instead of each individual source?
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