spark AvroWrite 源码

2022-10-20
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spark AvroWrite 代码

文件路径：/connector/avro/src/main/scala/org/apache/spark/sql/v2/avro/AvroWrite.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.v2.avro

import org.apache.hadoop.mapreduce.Job

import org.apache.spark.sql.avro.AvroUtils
import org.apache.spark.sql.connector.write.LogicalWriteInfo
import org.apache.spark.sql.execution.datasources.OutputWriterFactory
import org.apache.spark.sql.execution.datasources.v2.FileWrite
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.types._

case class AvroWrite(
    paths: Seq[String],
    formatName: String,
    supportsDataType: DataType => Boolean,
    info: LogicalWriteInfo) extends FileWrite {
  override def prepareWrite(
      sqlConf: SQLConf,
      job: Job,
      options: Map[String, String],
      dataSchema: StructType): OutputWriterFactory = {
    AvroUtils.prepareWrite(sqlConf, job, options, dataSchema)
  }
}

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