Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/19651#discussion_r153682330
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcDeserializer.scala
---
@@ -0,0 +1,304 @@
+/*
+ * 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.execution.datasources.orc
+
+import scala.collection.JavaConverters._
+import scala.collection.mutable.ArrayBuffer
+
+import org.apache.hadoop.io._
+import org.apache.orc.mapred.{OrcList, OrcMap, OrcStruct, OrcTimestamp}
+import org.apache.orc.storage.serde2.io.{DateWritable, HiveDecimalWritable}
+
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions.SpecificInternalRow
+import org.apache.spark.sql.catalyst.util._
+import org.apache.spark.sql.types._
+import org.apache.spark.unsafe.types.UTF8String
+
+private[orc] class OrcDeserializer(
+ dataSchema: StructType,
+ requiredSchema: StructType,
+ missingColumnNames: Seq[String]) {
+
+ private[this] val currentRow = new
SpecificInternalRow(requiredSchema.map(_.dataType))
+
+ private[this] val length = requiredSchema.length
+
+ private[this] val fieldConverters: Array[Converter] =
requiredSchema.zipWithIndex.map {
+ case (f, ordinal) =>
+ if (missingColumnNames.contains(f.name)) {
+ null
+ } else {
+ newConverter(f.dataType, new RowUpdater(currentRow, ordinal))
+ }
+ }.toArray
+
+ def deserialize(orcStruct: OrcStruct): InternalRow = {
+ val names = orcStruct.getSchema.getFieldNames
+ val fieldRefs = requiredSchema.map { f =>
+ val name = f.name
+ if (missingColumnNames.contains(name)) {
+ null
+ } else {
+ if (names.contains(name)) {
+ orcStruct.getFieldValue(name)
+ } else {
+ orcStruct.getFieldValue("_col" + dataSchema.fieldIndex(name))
+ }
+ }
+ }.toArray
+
+ var i = 0
+ while (i < length) {
+ val writable = fieldRefs(i)
+ if (writable == null) {
+ currentRow.setNullAt(i)
+ } else {
+ fieldConverters(i).set(writable)
+ }
+ i += 1
+ }
+ currentRow
+ }
+
+ private[this] def newConverter(dataType: DataType, updater:
OrcDataUpdater): Converter =
+ dataType match {
+ case NullType =>
+ new Converter {
+ override def set(value: Any): Unit = updater.setNullAt()
+ }
+
+ case BooleanType =>
+ new Converter {
+ override def set(value: Any): Unit =
+ updater.setBoolean(value.asInstanceOf[BooleanWritable].get)
+ }
+
+ case ByteType =>
+ new Converter {
+ override def set(value: Any): Unit =
updater.setByte(value.asInstanceOf[ByteWritable].get)
+ }
+
+ case ShortType =>
+ new Converter {
+ override def set(value: Any): Unit =
+ updater.setShort(value.asInstanceOf[ShortWritable].get)
+ }
+
+ case IntegerType =>
+ new Converter {
+ override def set(value: Any): Unit =
updater.setInt(value.asInstanceOf[IntWritable].get)
+ }
+
+ case LongType =>
+ new Converter {
+ override def set(value: Any): Unit =
updater.setLong(value.asInstanceOf[LongWritable].get)
+ }
+
+ case FloatType =>
+ new Converter {
+ override def set(value: Any): Unit =
+ updater.setFloat(value.asInstanceOf[FloatWritable].get)
+ }
+
+ case DoubleType =>
+ new Converter {
+ override def set(value: Any): Unit =
+ updater.setDouble(value.asInstanceOf[DoubleWritable].get)
+ }
+
+ case StringType =>
+ new Converter {
+ override def set(value: Any): Unit =
+
updater.set(UTF8String.fromBytes(value.asInstanceOf[Text].copyBytes))
+ }
+
+ case BinaryType =>
+ new Converter {
+ override def set(value: Any): Unit = {
+ val binary = value.asInstanceOf[BytesWritable]
+ val bytes = new Array[Byte](binary.getLength)
+ System.arraycopy(binary.getBytes, 0, bytes, 0,
binary.getLength)
+ updater.set(bytes)
+ }
+ }
+
+ case DateType =>
+ new Converter {
+ override def set(value: Any): Unit =
+
updater.set(DateTimeUtils.fromJavaDate(value.asInstanceOf[DateWritable].get))
+ }
+
+ case TimestampType =>
+ new Converter {
+ override def set(value: Any): Unit =
+
updater.set(DateTimeUtils.fromJavaTimestamp(value.asInstanceOf[OrcTimestamp]))
+ }
+
+ case DecimalType.Fixed(precision, scale) =>
+ new Converter {
+ override def set(value: Any): Unit = {
+ val decimal =
value.asInstanceOf[HiveDecimalWritable].getHiveDecimal()
+ val v = Decimal(decimal.bigDecimalValue, decimal.precision(),
decimal.scale())
+ v.changePrecision(precision, scale)
+ updater.set(v)
+ }
+ }
+
+ case st: StructType =>
+ new Converter {
+ override def set(value: Any): Unit = {
+ val orcStruct = value.asInstanceOf[OrcStruct]
+ val mutableRow = new SpecificInternalRow(st)
+ val fieldConverters: Array[Converter] = st.zipWithIndex.map {
case (f, ordinal) =>
+ if (missingColumnNames.contains(f.name)) {
--- End diff --
again, why do we need to handle missing columns for nested fields?
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