/*
 * 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
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 */

package org.apache.hudi

import org.apache.hudi.common.model.HoodieRecord
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.types.StructType
import org.apache.spark.sql.{DataFrameUtil, Dataset, Row, SparkSession}

object SparkConversionUtils {

  def createDataFrame[T](rdd: RDD[HoodieRecord[T]], ss: SparkSession, structType: StructType): Dataset[Row] = {
    // Avoid calling isEmpty() which can cause serialization issues with Ordering$Reverse
    // Check partition count instead, which doesn't require task serialization
    if (rdd.getNumPartitions == 0) {
      ss.emptyDataFrame
    } else {
      DataFrameUtil.createFromInternalRows(ss, structType, rdd.map(_.getData.asInstanceOf[InternalRow]))
    }
  }
}
