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/*
 * 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

import org.apache.hudi.SparkAdapterSupport

import org.apache.spark.rdd.RDD
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.execution.LogicalRDD
import org.apache.spark.sql.types.StructType

object DataFrameUtil {

  /**
   * Creates a DataFrame out of RDD[InternalRow] that you can get
   * using `df.queryExecution.toRdd`
   */
  def createFromInternalRows(sparkSession: SparkSession, schema:
  StructType, rdd: RDD[InternalRow]): DataFrame = {
    val logicalPlan = LogicalRDD(
      SparkAdapterSupport.sparkAdapter.getSchemaUtils.toAttributes(schema), rdd)(sparkSession)
    Dataset.ofRows(sparkSession, logicalPlan)
  }
}