/**
 * 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.hadoop.hive.ql.exec.mapjoin;

import java.util.ArrayList;
import java.util.List;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.apache.hadoop.hive.ql.session.SessionState.LogHelper;
import org.junit.Before;
import org.junit.Test;

public class TestMapJoinMemoryExhaustionHandler {
  private static final Logger LOG = LoggerFactory.getLogger(TestMapJoinMemoryExhaustionHandler.class);

  private LogHelper logHelper;
  
  @Before
  public void setup() {
    logHelper = new LogHelper(LOG);
  }
  @Test(expected=MapJoinMemoryExhaustionException.class)
  public void testAbort() throws MapJoinMemoryExhaustionException {
    MapJoinMemoryExhaustionHandler handler = new MapJoinMemoryExhaustionHandler(logHelper, 0.01d);
    List<byte[]> memoryConsumer = new ArrayList<byte[]>();
    while(true) {
      handler.checkMemoryStatus(1, 1);
      memoryConsumer.add(new byte[5 * 1024 * 1024]);
    }
  }
}
