/*
 * 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.parquet

import org.apache.hadoop.fs.Path
import org.apache.hadoop.mapreduce._
import org.apache.parquet.hadoop.ParquetOutputFormat

import org.apache.spark.sql.Row
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.execution.datasources.OutputWriter

// NOTE: This class is instantiated and used on executor side only, no need to be serializable.
private[parquet] class ParquetOutputWriter(path: String, context: TaskAttemptContext)
  extends OutputWriter {

  private val recordWriter: RecordWriter[Void, InternalRow] = {
    new ParquetOutputFormat[InternalRow]() {
      override def getDefaultWorkFile(context: TaskAttemptContext, extension: String): Path = {
        new Path(path)
      }
    }.getRecordWriter(context)
  }

  override def write(row: InternalRow): Unit = recordWriter.write(null, row)

  override def close(): Unit = recordWriter.close(context)
}
