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.spark.sql;
  
  import org.apache.spark.memory.MemoryMode;
  import org.apache.spark.sql.execution.vectorized.OffHeapColumnVector;
  import org.apache.spark.sql.execution.vectorized.OnHeapColumnVector;
  import org.apache.spark.sql.execution.vectorized.WritableColumnVector;
  import org.apache.spark.sql.types.StructType;
  
  public class ColumnVectorFactory {
  
    public static WritableColumnVector[] getColumnVector(MemoryMode memMode, StructType outputSchema,
        int rowNums) {
  
      WritableColumnVector[] writableColumnVectors = null;
      switch (memMode) {
        case ON_HEAP:
          writableColumnVectors = OnHeapColumnVector.allocateColumns(rowNums, outputSchema);
          break;
        case OFF_HEAP:
          writableColumnVectors = OffHeapColumnVector.allocateColumns(rowNums, outputSchema);
          break;
      }
      return writableColumnVectors;
    }
  }
  