blob: fbb924a02ab6ea63b4b756045b1327ccc6845058 [file] [log] [blame]
/**
* 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 com.datatorrent.lib.db;
import java.util.Collection;
import com.google.common.collect.Lists;
/**
* This is the base implementation for an aggregate output operator,
* which writes to a transactionable store. 
* All the writes to the store over an application window are sent in one batch.
* <p></p>
* @displayName Abstract Batch Transactionable Store Output
* @category Output
* @tags transactional, output operator
*
* @param <T> The tuple type.
* @param <S> The store type.
* @since 1.0.2
*/
@org.apache.hadoop.classification.InterfaceStability.Evolving
public abstract class AbstractBatchTransactionableStoreOutputOperator<T, S extends TransactionableStore>
extends AbstractAggregateTransactionableStoreOutputOperator<T, S>
{
private Collection<T> tuples;
public AbstractBatchTransactionableStoreOutputOperator()
{
tuples = Lists.newArrayList();
}
@Override
public void processTuple(T tuple)
{
tuples.add(tuple);
}
@Override
public void endWindow()
{
super.endWindow();
tuples.clear();
}
/**
* Processes the whole batch at the end window and writes to the store.
*
*/
public abstract void processBatch(Collection<T> tuples);
@Override
public void storeAggregate()
{
processBatch(tuples);
}
}