integration/spark/src/main/java/org/apache/carbondata/spark/readsupport/SparkGenericRowReadSupportImpl.java

/*
 * 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.spark.readsupport;

import java.sql.Date;
import java.sql.Timestamp;
import java.util.Calendar;

import org.apache.carbondata.core.metadata.datatype.DataType;
import org.apache.carbondata.core.metadata.datatype.DataTypes;
import org.apache.carbondata.core.metadata.schema.table.CarbonTable;
import org.apache.carbondata.core.metadata.schema.table.column.CarbonColumn;
import org.apache.carbondata.hadoop.readsupport.CarbonReadSupport;

import org.apache.spark.sql.Row;
import org.apache.spark.sql.catalyst.expressions.GenericRow;

public class SparkGenericRowReadSupportImpl implements CarbonReadSupport<Row> {

  private CarbonColumn[] carbonColumns;

  @Override
  public void initialize(CarbonColumn[] carbonColumns,
      CarbonTable carbonTable) {
    this.carbonColumns = carbonColumns;
  }

  @Override
  public Row readRow(Object[] data) {
    for (int i = 0; i < data.length; i++) {
      DataType dataType = carbonColumns[i].getDataType();
      if (dataType == DataTypes.DATE) {
        Calendar c = Calendar.getInstance();
        c.setTime(new Date(0));
        c.add(Calendar.DAY_OF_YEAR, (Integer) data[i]);
        data[i] = new Date(c.getTime().getTime());
      } else if (dataType == DataTypes.TIMESTAMP) {
        data[i] = new Timestamp((long) data[i] / 1000);
      }
    }
    return new GenericRow(data);
  }
}