/*
* Copyright (c) 2014 the original author or authors
*
* Licensed 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 io.werval.spi.cache;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;
import java.util.function.BiFunction;
import io.werval.util.Couple;
import io.werval.util.Numbers;
/**
* In-Memory Cache backed by a {@link ConcurrentHashMap}.
* <p>
* This is the default Cache Extension used if your Application do not declare any Cache Plugin.
* <p>
* Expiration is applied on access only.
* This may not suit your usage pattern.
* <p>
* No metrics gathered.
* <p>
* See the the EhCache, Memcache and Redis based Cache Plugins for alternatives.
*/
public class MapCache
extends CacheAdapter
{
protected final ConcurrentMap<String, Couple<Long, Object>> map = new ConcurrentHashMap<>();
public MapCache()
{
super();
}
@Override
protected <T> T doGet( String key )
{
Couple<Long, Object> result = map.computeIfPresent(
key,
new BiFunction<String, Couple<Long, Object>, Couple<Long, Object>>()
{
@Override
public Couple<Long, Object> apply( String k, Couple<Long, Object> entry )
{
if( System.currentTimeMillis() > entry.left() )
{
return null;
}
return entry;
}
}
);
if( result != null )
{
return (T) result.right();
}
return null;
}
@Override
protected <T> void doSet( int ttlSeconds, String key, T value )
{
map.put( key, Couple.of( expiration( System.currentTimeMillis(), ttlSeconds ), (Object) value ) );
}
@Override
protected void doRemove( String key )
{
map.remove( key );
}
private long expiration( long now, int ttlSeconds )
{
if( ttlSeconds == 0 )
{
return Long.MAX_VALUE;
}
return Numbers.safeLongValueOfSum( now, Numbers.safeLongValueOfMultiply( ttlSeconds, 1000 ) );
}
}