integration/spark/src/main/spark2.3/org/apache/spark/sql/avro/AvroFileFormatFactory.scala

/*
 * 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.avro

import com.databricks.spark.avro.{AvroReader, AvroWriter}
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.Row
import org.apache.spark.sql.execution.datasources.OutputWriterFactory

object AvroFileFormatFactory {

  /**
   * return the avro writer to write the avro files
   * @return avro writer
   */
  def getAvroWriter(spark: org.apache.spark.sql.SparkSession,
      job: org.apache.hadoop.mapreduce.Job,
      dataSchema: org.apache.spark.sql.types.StructType,
      options: scala.Predef.Map[scala.Predef.String, scala.Predef.String] = Map.empty)
  : OutputWriterFactory = {
    AvroWriter.getWriter(spark, job, dataSchema, options)
  }

  /**
   * Reads the avro files present at the given path
   * @param deltaPath path to read the avro files from.
   * @return RDD[Row]
   */
  def readAvro(spark: org.apache.spark.sql.SparkSession, deltaPath: String): RDD[Row] = {
    spark.sparkContext
      .hadoopConfiguration
      .set("avro.mapred.ignore.inputs.without.extension", "false")
    AvroReader.readAvro(spark, deltaPath)
  }
}