content: /*
   * 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.carbondata.core.scan.complextypes;
  
  import java.nio.ByteBuffer;
  
  import org.apache.carbondata.core.util.DataTypeUtil;
  
  /**
   * handles querying map data type columns
   */
  public class MapQueryType extends ArrayQueryType {
  
    public MapQueryType(String name, String parentName, int columnIndex) {
      super(name, parentName, columnIndex);
    }
  
    /**
     * Map data is internally stored as Array<Struct<key,Value>>. So first the data is filled in the
     * stored format and then each record is separated out to fill key and value separately. This is
     * because for spark integration it expects the data as ArrayBasedMapData(keyArray, valueArray)
     * and for SDK it will be an object array in the same format as returned to spark
     *
     * @param dataBuffer
     * @return
     */
    @Override
    public Object getDataBasedOnDataType(ByteBuffer dataBuffer) {
      Object[] data = fillData(dataBuffer, false);
      if (data == null) {
        return null;
      }
      Object[] keyArray = new Object[data.length];
      Object[] valueArray = new Object[data.length];
      for (int i = 0; i < data.length; i++) {
        Object[] keyValue = DataTypeUtil.getDataTypeConverter().unwrapGenericRowToObject(data[i]);
        keyArray[i] = keyValue[0];
        valueArray[i] = keyValue[1];
      }
      return DataTypeUtil.getDataTypeConverter().wrapWithArrayBasedMapData(keyArray, valueArray);
    }
  
    @Override
    public Object[] getObjectArrayDataBasedOnDataType(ByteBuffer dataBuffer) {
      return fillData(dataBuffer, true);
    }
  
  }
  