Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/19269#discussion_r145586905
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/WriteToDataSourceV2.scala
---
@@ -0,0 +1,137 @@
+/*
+ * 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.v2
+
+import org.apache.spark.{SparkException, TaskContext}
+import org.apache.spark.internal.Logging
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.Row
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.encoders.{ExpressionEncoder,
RowEncoder}
+import org.apache.spark.sql.catalyst.expressions.Attribute
+import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
+import org.apache.spark.sql.execution.SparkPlan
+import org.apache.spark.sql.sources.v2.writer._
+import org.apache.spark.sql.types.StructType
+import org.apache.spark.util.Utils
+
+/**
+ * The logical plan for writing data into data source v2.
+ */
+case class WriteToDataSourceV2(writer: DataSourceV2Writer, query:
LogicalPlan) extends LogicalPlan {
+ override def children: Seq[LogicalPlan] = Seq(query)
+ override def output: Seq[Attribute] = Nil
+}
+
+/**
+ * The physical plan for writing data into data source v2.
+ */
+case class WriteToDataSourceV2Exec(writer: DataSourceV2Writer, query:
SparkPlan) extends SparkPlan {
+ override def children: Seq[SparkPlan] = Seq(query)
+ override def output: Seq[Attribute] = Nil
+
+ override protected def doExecute(): RDD[InternalRow] = {
+ val writeTask = writer match {
+ case w: SupportsWriteInternalRow =>
w.createInternalRowWriterFactory()
+ case _ => new
RowToInternalRowDataWriterFactory(writer.createWriterFactory(), query.schema)
+ }
+
+ val rdd = query.execute()
+ val messages = new Array[WriterCommitMessage](rdd.partitions.length)
+
+ logInfo(s"Start processing data source writer: $writer. " +
+ s"The input RDD has ${messages.length} partitions.")
+
+ try {
+ sparkContext.runJob(
+ rdd,
+ (context: TaskContext, iter: Iterator[InternalRow]) =>
+ DataWritingSparkTask.run(writeTask, context, iter),
+ rdd.partitions.indices,
+ (index, message: WriterCommitMessage) => messages(index) = message
+ )
+
+ logInfo(s"Data source writer $writer is committing.")
+ writer.commit(messages)
+ logInfo(s"Data source writer $writer committed.")
+ } catch {
+ case cause: Throwable =>
+ logError(s"Data source writer $writer is aborting.")
+ try {
+ writer.abort(messages)
+ } catch {
+ case t: Throwable =>
+ logError(s"Data source writer $writer failed to abort.")
+ cause.addSuppressed(t)
+ throw new SparkException("Writing job failed.", cause)
+ }
+ logError(s"Data source writer $writer aborted.")
+ throw new SparkException("Writing job aborted.", cause)
+ }
+
+ sparkContext.emptyRDD
+ }
+}
+
+object DataWritingSparkTask extends Logging {
--- End diff --
This is mainly for log. If we inline these codes to
`WriteToDataSourceV2Exec` and make `WriteToDataSourceV2Exec` extends `Logging`,
then we have to serialize and send `WriteToDataSourceV2Exec` to executor side
for the logging.
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