Github user xuanyuanking commented on a diff in the pull request:
https://github.com/apache/spark/pull/21116#discussion_r183224838
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/continuous/WriteToContinuousDataSourceExec.scala
---
@@ -0,0 +1,126 @@
+/*
+ * 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.streaming.continuous
+
+import scala.util.control.NonFatal
+
+import org.apache.spark.{SparkEnv, SparkException, TaskContext}
+import org.apache.spark.internal.Logging
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions.Attribute
+import org.apache.spark.sql.execution.SparkPlan
+import
org.apache.spark.sql.execution.datasources.v2.{DataWritingSparkTask,
InternalRowDataWriterFactory}
+import
org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask.{logError,
logInfo}
+import org.apache.spark.sql.execution.streaming.StreamExecution
+import org.apache.spark.sql.sources.v2.writer._
+import org.apache.spark.sql.sources.v2.writer.streaming.StreamWriter
+import org.apache.spark.util.Utils
+
+/**
+ * The physical plan for writing data into a continuous processing
[[StreamWriter]].
+ */
+case class WriteToContinuousDataSourceExec(writer: StreamWriter, query:
SparkPlan)
+ extends SparkPlan with Logging {
+ override def children: Seq[SparkPlan] = Seq(query)
+ override def output: Seq[Attribute] = Nil
+
+ override protected def doExecute(): RDD[InternalRow] = {
+ val writerFactory = writer match {
+ case w: SupportsWriteInternalRow =>
w.createInternalRowWriterFactory()
+ case _ => new
InternalRowDataWriterFactory(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.")
+ // Let the epoch coordinator know how many partitions the write RDD
has.
+ EpochCoordinatorRef.get(
+
sparkContext.getLocalProperty(ContinuousExecution.EPOCH_COORDINATOR_ID_KEY),
+ sparkContext.env)
+ .askSync[Unit](SetWriterPartitions(rdd.getNumPartitions))
+
+ try {
+ // Force the RDD to run so continuous processing starts; no data is
actually being collected
+ // to the driver, as ContinuousWriteRDD outputs nothing.
+ sparkContext.runJob(
+ rdd,
+ (context: TaskContext, iter: Iterator[InternalRow]) =>
+ WriteToContinuousDataSourceExec.run(writerFactory, context,
iter),
+ rdd.partitions.indices)
+ } catch {
+ case _: InterruptedException =>
+ // Interruption is how continuous queries are ended, so accept and
ignore the exception.
+ case cause: Throwable =>
+ cause match {
+ // Do not wrap interruption exceptions that will be handled by
streaming specially.
+ case _ if StreamExecution.isInterruptionException(cause) =>
throw cause
+ // Only wrap non fatal exceptions.
+ case NonFatal(e) => throw new SparkException("Writing job
aborted.", e)
+ case _ => throw cause
+ }
+ }
+
+ sparkContext.emptyRDD
+ }
+}
+
+object WriteToContinuousDataSourceExec extends Logging {
+ def run(
+ writeTask: DataWriterFactory[InternalRow],
+ context: TaskContext,
+ iter: Iterator[InternalRow]): Unit = {
+ val epochCoordinator = EpochCoordinatorRef.get(
+
context.getLocalProperty(ContinuousExecution.EPOCH_COORDINATOR_ID_KEY),
+ SparkEnv.get)
+ val currentMsg: WriterCommitMessage = null
--- End diff --
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