Github user zsxwing commented on a diff in the pull request:

    https://github.com/apache/spark/pull/17043#discussion_r103052166
  
    --- Diff: 
external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaWriter.scala
 ---
    @@ -0,0 +1,106 @@
    +/*
    + * 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.kafka010
    +
    +import java.{util => ju}
    +
    +import org.apache.spark.TaskContext
    +import org.apache.spark.internal.Logging
    +import org.apache.spark.sql.{AnalysisException, SparkSession}
    +import org.apache.spark.sql.catalyst.InternalRow
    +import org.apache.spark.sql.catalyst.expressions._
    +import org.apache.spark.sql.execution.{QueryExecution, SQLExecution}
    +import org.apache.spark.sql.types.{BinaryType, StringType}
    +import org.apache.spark.util.Utils
    +
    +private[kafka010] object KafkaWriter extends Logging {
    +  val TOPIC_ATTRIBUTE_NAME: String = "topic"
    +  val KEY_ATTRIBUTE_NAME: String = "key"
    +  val VALUE_ATTRIBUTE_NAME: String = "value"
    +
    +  def write(
    +      sparkSession: SparkSession,
    +      queryExecution: QueryExecution,
    +      kafkaParameters: ju.Map[String, Object],
    +      topic: Option[String] = None): Unit = {
    +    val schema = queryExecution.logical.output
    +    schema.find(p => p.name == TOPIC_ATTRIBUTE_NAME).getOrElse(
    +      if (topic == None) {
    +        throw new AnalysisException(s"topic option required when no " +
    +          s"'$TOPIC_ATTRIBUTE_NAME' attribute is present. Use the " +
    +          s"${KafkaSourceProvider.TOPIC_OPTION_KEY} option for setting a 
topic.")
    +      } else {
    +        Literal(topic.get, StringType)
    +      }
    +    ).dataType match {
    +      case StringType => // good
    +      case _ =>
    +        throw new AnalysisException(s"Topic type must be a String")
    +    }
    +    schema.find(p => p.name == KEY_ATTRIBUTE_NAME).getOrElse(
    +      Literal(null, StringType)
    +    ).dataType match {
    +      case StringType | BinaryType => // good
    +      case _ =>
    +        throw new AnalysisException(s"$KEY_ATTRIBUTE_NAME attribute type " 
+
    +          s"must be a String or BinaryType")
    +    }
    +    schema.find(p => p.name == VALUE_ATTRIBUTE_NAME).getOrElse(
    +      throw new AnalysisException(s"Required attribute 
'$VALUE_ATTRIBUTE_NAME' not found")
    +    ).dataType match {
    +      case StringType | BinaryType => // good
    +      case _ =>
    +        throw new AnalysisException(s"$VALUE_ATTRIBUTE_NAME attribute type 
" +
    +          s"must be a String or BinaryType")
    +    }
    +    SQLExecution.withNewExecutionId(sparkSession, queryExecution) {
    --- End diff --
    
    This is trying to following FileFormatWriter but actually it's not 
necessary because we don't need to use the file commit protocol.
    
    How about this?
    ```Scala
        SQLExecution.withNewExecutionId(sparkSession, queryExecution) {
          queryExecution.toRdd.foreachPartition { iter =>
            val writeTask = new KafkaWriteTask(kafkaParameters, schema, topic)
            try {
              writeTask.execute(iter)
            } finally {
              writeTask.close()
            }
          }
        }
    ```


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