Package lupos.datastructures.dbmergesortedds

Source Code of lupos.datastructures.dbmergesortedds.DBMergeSortedSetUsingTrie

/**
* Copyright (c) 2013, Institute of Information Systems (Sven Groppe and contributors of LUPOSDATE), University of Luebeck
*
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification, are permitted provided that the
* following conditions are met:
*
*   - Redistributions of source code must retain the above copyright notice, this list of conditions and the following
*     disclaimer.
*   - Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the
*     following disclaimer in the documentation and/or other materials provided with the distribution.
*   - Neither the name of the University of Luebeck nor the names of its contributors may be used to endorse or promote
*     products derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
* INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE
* GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
* LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
* OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
package lupos.datastructures.dbmergesortedds;

import java.util.Comparator;
import java.util.Iterator;

import lupos.datastructures.patriciatrie.TrieSet;
import lupos.datastructures.queryresult.ParallelIterator;

public class DBMergeSortedSetUsingTrie extends DBMergeSortedSet<String> {

  protected TrieSet searchtree = TrieSet.createRamBasedTrieSet();
 
  public static long LIMIT_ELEMENTS_IN_SET = 50000000;

  public DBMergeSortedSetUsingTrie(final SortConfiguration sortConfiguration, final Class<? extends String> classOfElements){
    super(sortConfiguration, classOfElements);
  }

  public DBMergeSortedSetUsingTrie(){
    super();
  }

  public DBMergeSortedSetUsingTrie(
      final Class<? extends String> classOfElements){
    super(classOfElements);
  }

  public DBMergeSortedSetUsingTrie(final SortConfiguration sortConfiguration,
      final Comparator<? super String> comp,
      final Class<? extends String> classOfElements){
    super(sortConfiguration, comp, classOfElements);
  }

  public DBMergeSortedSetUsingTrie(
      final Comparator<? super String> comp,
      final Class<? extends String> classOfElements){
    super(comp, classOfElements);
  }

  @Override
  public boolean add(final String ele) {
    if (searchtree.size()>LIMIT_ELEMENTS_IN_SET) {
      writeToRun();
    }

    if (searchtree.add(ele))
      size++;
    return true;
  }

  private void writeToRun() {
    if (currentRun == null)
      currentRun = Run.createInstance(this);
    else
      closeAndNewCurrentRun();
    for (final String s : searchtree) {
      final Entry<String> entry = new Entry<String>(s,
          new StandardComparator<String>(), n++);
      currentRun.add(entry);
    }
    searchtree = TrieSet.createRamBasedTrieSet();
  }

  @Override
  public void clear() {
    super.clear();
    searchtree.clear();
  }

  public boolean sorted() {
    return searchtree.size()==0
        && (currentRun == null || unsortedID == currentRun.runID);
  }
   
  @Override
  public void sort() {
    if (sorted() || currentRun == null)
      return;
    if (searchtree.size() > 0)
      this.writeToRun();
    super.sort();
  }

  @Override
  public ParallelIterator<String> iterator() {
    // Do we have a small sorted bag? In other words:
    // Did we already write entries to disk or is all still stored in main
    // memory? In the latter case, we do not need to store it on disk and
    // just "sort" in memory!
    if (currentRun == null) {
      return new ParallelIterator() {
        Iterator<String> it = searchtree.iterator();

        public void close() {
        }

        public boolean hasNext() {
          return it.hasNext();
        }

        public Object next() {
          return it.next();
        }

        public void remove() {
        }
      };
    } else
      return super.iterator();
  }
}
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