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.hadoop.chukwa.extraction.demux.processor.mapper;
  
  
  import java.util.HashMap;
  import org.apache.log4j.Logger;
  
  public class MapProcessorFactory {
    static Logger log = Logger.getLogger(MapProcessorFactory.class);
  
    private static HashMap<String, MapProcessor> processors = new HashMap<String, MapProcessor>(); // registry
  
    public MapProcessorFactory() {
    }
  
    public static MapProcessor getProcessor(String parserClass)
        throws UnknownRecordTypeException {
      if (processors.containsKey(parserClass)) {
        return processors.get(parserClass);
      } else {
        MapProcessor processor = null;
        try {
          processor = (MapProcessor) Class.forName(parserClass).getConstructor()
              .newInstance();
        } catch (ClassNotFoundException e) {
          throw new UnknownRecordTypeException("Unknown parserClass:"
              + parserClass, e);
        } catch (Exception e) {
          throw new UnknownRecordTypeException("error constructing processor", e);
        }
  
        // TODO using a ThreadSafe/reuse flag to actually decide if we want
        // to reuse the same processor again and again
        processors.put(parserClass, processor);
        return processor;
      }
    }
  }
  