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/*
 * Copyright 2018 ABSA Group Limited
 *
 * Licensed 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 za.co.absa.enceladus.conformance.interpreter.rules

import org.apache.spark.sql.{Dataset, Row, SparkSession}
import za.co.absa.enceladus.conformance.interpreter.{ExplosionState, InterpreterContextArgs}
import za.co.absa.enceladus.dao.MenasDAO
import za.co.absa.enceladus.model.conformanceRule.ConformanceRule
import za.co.absa.enceladus.utils.explode.ExplodeTools

/**
  * This conformance interpreter explodes a given array.
  */
class ArrayExplodeInterpreter(columnName: String) extends RuleInterpreter {
  override def conformanceRule: Option[ConformanceRule] = None

  override def conform(df: Dataset[Row])
                      (implicit spark: SparkSession, explosionState: ExplosionState, dao: MenasDAO,
                       progArgs: InterpreterContextArgs): Dataset[Row] = {
    val (dfOut, ctx) = ExplodeTools.explodeAllArraysInPath(columnName, df, explosionState.explodeContext)
    explosionState.explodeContext = ctx
    dfOut
  }
}




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