com.bigdata.service.AbstractIndexCache Maven / Gradle / Ivy
package com.bigdata.service;
import java.lang.ref.WeakReference;
import java.util.Iterator;
import java.util.Map;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Lock;
import org.apache.log4j.Logger;
import com.bigdata.btree.IIndex;
import com.bigdata.btree.IRangeQuery;
import com.bigdata.cache.ConcurrentWeakValueCache;
import com.bigdata.cache.ConcurrentWeakValueCacheWithTimeout;
import com.bigdata.concurrent.NamedLock;
import com.bigdata.journal.ITx;
import com.bigdata.service.ndx.IClientIndex;
import com.bigdata.util.NT;
/**
* Abstract base class providing caching for {@link IIndex} like objects. A
* canonicalizing cache is used with weak references to the {@link IIndex}s
* back by a hard reference LRU cache. This tends to keep around views that
* are reused while letting references for unused views be cleared by the
* garbage collector in a timely manner.
*
* @author Bryan Thompson
* @version $Id$
* @param
*/
abstract public class AbstractIndexCache {
protected static final Logger log = Logger.getLogger(AbstractIndexCache.class);
/**
* A canonicalizing cache for the client's {@link IIndex} proxy objects. The
* keys are {@link NT} objects which represent both the name of the index
* and the timestamp for the index view. The values are the {@link IIndex}
* proxy objects.
*
* Note: The "dirty" flag associated with the object in this cache is
* ignored.
*/
// final private WeakValueCache indexCache;
final private ConcurrentWeakValueCache indexCache;
final private NamedLock indexCacheLock = new NamedLock();
/**
*
* @param capacity
* The capacity of the backing LRU hard reference cache.
* @param timeout
* The timeout in milliseconds for stale entries in the cache.
*
* @see IBigdataClient.Options#CLIENT_INDEX_CACHE_CAPACITY
* @see IBigdataClient.Options#CLIENT_INDEX_CACHE_TIMEOUT
*/
protected AbstractIndexCache(final int capacity, final long timeout) {
// indexCache = new WeakValueCache(new LRUCache(capacity));
indexCache = new ConcurrentWeakValueCacheWithTimeout(capacity,
TimeUnit.MILLISECONDS.toNanos(timeout));
}
/**
* Method is invoked on a cache miss and returns a view of the described
* index.
*
* @param name
* @param timestamp
*
* @return The index view -or- null if the described index
* does not exist.
*/
abstract protected T newView(final String name, final long timestamp);
/**
* Request a view of an index. If there is a cache miss then a new view will
* be created.
*
* Note: {@link ITx#READ_COMMITTED} views are cached. Read-committed
* semantics are obtained by the indirection imposed by the
* {@link IClientIndex}, which converts a request by the client into a
* request against the appropriate {@link IDataService}s via task(s)
* submitted against those services.
*
* @param name
* The index name.
* @param timestamp
* The timestamp of the view.
*
* @return The index view -or- null if the described index
* does not exist.
*/
public T getIndex(final String name, final long timestamp) {
if (log.isInfoEnabled())
log.info("name=" + name + " @ " + timestamp);
final NT nt = new NT(name, timestamp);
// test cache before synchronization.
T ndx = indexCache.get(nt);
if (ndx != null) {
return ndx;
}
/*
* Acquire a lock for the index name and timestamp. This allows
* concurrent resolution of views of the same index and views of other
* indices as well.
*/
final Lock lock = indexCacheLock.acquireLock(nt);
try {
ndx = indexCache.get(nt);
if (ndx == null) {
if ((ndx = newView(name, timestamp)) == null) {
if (log.isInfoEnabled())
log.info("name=" + name + " @ "
+ timestamp + " : no such index.");
return null;
}
// add to the cache.
// indexCache.put(nt, ndx, false/* dirty */);
indexCache.put(nt, ndx);
if (log.isInfoEnabled())
log.info("name=" + name + " @ "
+ timestamp + " : index exists.");
} else {
if (log.isInfoEnabled())
log.info("name=" + name + " @ "
+ timestamp + " : cache hit.");
}
return ndx;
} finally {
lock.unlock();
}
}
/**
* Drop the {@link ITx#UNISOLATED} and {@link ITx#READ_COMMITTED}
* entries for the named index from the cache.
*
* Historical and transactional reads are still allowed, but we remove
* the read-committed or unisolated views from the cache once the index
* has been dropped. If a client wants them, it needs to re-request. If
* they have been re-registered on the metadata service then they will
* become available again.
*
* Note: Operations against unisolated or read-committed indices will
* throw exceptions if they execute after the index was dropped.
*/
protected void dropIndexFromCache(String name) {
synchronized (indexCache) {
// final Iterator> itr = indexCache.entryIterator();
final Iterator>> itr = indexCache.entryIterator();
while (itr.hasNext()) {
// final ICacheEntry entry = itr.next();
final Map.Entry> entry = itr.next();
final T ndx = entry.getValue().get();
if(ndx == null) {
/*
* The entry under the key has been cleared so we just skip
* over this entry. Entries associated with a value whose
* weak reference has been cleared will be automatically
* removed from the map - we don't need to worry about them
* here.
*/
continue;
}
final NT nt = entry.getKey();
if (name.equals(nt.getName())) {
final long timestamp = nt.getTimestamp();
if (timestamp == ITx.UNISOLATED
|| timestamp == ITx.READ_COMMITTED) {
if (log.isInfoEnabled())
log.info("dropped from cache: "
+ name + " @ " + timestamp);
// remove from the cache.
indexCache.remove(entry.getKey());
}
}
}
}
}
protected void shutdown() {
indexCache.clear();
}
}