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.arrow.dataset;
  
  import java.io.IOException;
  import org.apache.hadoop.conf.Configuration;
  import org.apache.hadoop.fs.Path;
  import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector;
  import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
  import org.apache.orc.OrcFile;
  import org.apache.orc.TypeDescription;
  import org.apache.orc.Writer;
  
  public class OrcWriteSupport {
    public static void writeTempFile(TypeDescription orcSchema, Path path, Integer[] values)
        throws IOException {
      Writer writer =
          OrcFile.createWriter(path, OrcFile.writerOptions(new Configuration()).setSchema(orcSchema));
      VectorizedRowBatch batch = orcSchema.createRowBatch();
      LongColumnVector longColumnVector = (LongColumnVector) batch.cols[0];
      for (int idx = 0; idx < values.length; idx++) {
        longColumnVector.vector[idx] = values[idx];
      }
      batch.size = values.length;
      writer.addRowBatch(batch);
      writer.close();
    }
  }
  