• Heritrix 3.1.0 源码解析(七)


    本文接下来分析上文涉及到的ObjectIdentityCache接口及相关对象

    先熟悉一下继承和依赖关系,简要UML类图如下:

    我们先来了解一下ObjectIdentityCache接口的源码(泛型接口)

    /**
     * An object cache for create-once-by-name-and-then-reuse objects. 
     * 
     * Objects are added, but never removed. Subsequent get()s using the 
     * same key will return the exact same object, UNLESS all such objects
     * have been forgotten, in which case a new object MAY be returned. 
     * 
     * This allows implementors (such as ObjectIdentityBdbCache or 
     * CachedBdbMap) to page out (aka 'expunge') instances to
     * persistent storage while they're not being used. However, as long as
     * they are used (referenced), all requests for the same-named object
     * will share a reference to the same object, and the object may be
     * mutated in place without concern for explicitly persisting its
     * state to disk.  
     * 
     * @param <V>
     */
    public interface ObjectIdentityCache<V extends IdentityCacheable> extends Closeable {
        /** get the object under the given key/name -- but should not mutate 
         * object state*/
        public abstract V get(final String key);
        
        /** get the object under the given key/name, using (and remembering)
         * the object supplied by the supplier if no prior mapping exists 
         * -- but should not mutate object state */
        public abstract V getOrUse(final String key, Supplier<V> supplierOrNull);
    
        /** force the persistent backend, if any, to be updated with all 
         * live object state */ 
        public abstract void sync();
        
        /** force the persistent backend, if any, to eventually be updated with 
         * live object state for the given key */ 
        public abstract void dirtyKey(final String key);
    
        /** close/release any associated resources */ 
        public abstract void close();
        
        /** count of name-to-object contained */ 
        public abstract int size();
    
        /** set of all keys */ 
        public abstract Set<String> keySet();
    }

    该接口是用来管理对象缓存的,而被管理的对象必须是实现了IdentityCacheable接口的对象(泛型)

    在heritrix3.1.0系统里面,有三个类实现了ObjectIdentityCache接口,分别为ObjectIdentityBdbCache、ObjectIdentityMemCache、ObjectIdentityBdbManualCache

    最重要的是ObjectIdentityBdbManualCache类,我们可以在BdbModule类找到它的初始化方法

    /**
         * Get an ObjectIdentityBdbCache, backed by a BDB Database of the 
         * given name, with the given value class type. If 'recycle' is true,
         * reuse values already in the database; otherwise start with an 
         * empty cache. 
         *  
         * @param <V>
         * @param dbName
         * @param recycle
         * @param valueClass
         * @return
         * @throws DatabaseException
         */
        public <V extends IdentityCacheable> ObjectIdentityBdbManualCache<V> getOIBCCache(String dbName, boolean recycle,
                Class<? extends V> valueClass) 
        throws DatabaseException {
            if (!recycle) {
                try {
                    bdbEnvironment.truncateDatabase(null, dbName, false);
                } catch (DatabaseNotFoundException e) {
                    // ignored
                }
            }
            ObjectIdentityBdbManualCache<V> oic = new ObjectIdentityBdbManualCache<V>();
            oic.initialize(bdbEnvironment, dbName, valueClass, classCatalog);
            oiCaches.put(dbName, oic);
            return oic;
        }

    初始化方法里面传入了BDB数据库的环境变量、数据库名、要缓存的对象类名、StoredClassCatalog classCatalog变量(用于对象类型转换)

    ObjectIdentityBdbManualCache类是一个泛型类,最重要的成员变量如下:

    /** The BDB JE database used for this instance. */
        protected transient Database db;
    
        /** in-memory map of new/recent/still-referenced-elsewhere instances */
        protected transient ConcurrentMap<String,V> memMap;
    
        /** The Collection view of the BDB JE database used for this instance. */
        protected transient StoredSortedMap<String, V> diskMap;
    
        protected transient ConcurrentMap<String,V> dirtyItems;
        
        protected AtomicLong count;

    上面均为泛型容器(支持同步),其中被管理的对象为V类型(实现IdentityCacheable接口),每个被管理的对象以key/value的形式存储在上面容器中,其中最关键的容器是StoredSortedMap<String, V> diskMap 

    接下来查看它的初始化方法(它的构造方法很平庸,此处忽略贴出)

    /**
         * Call this method when you have an instance when you used the
         * default constructor or when you have a deserialized instance that you
         * want to reconnect with an extant bdbje environment.  Do not
         * call this method if you used the
         * {@link #CachedBdbMap(File, String, Class, Class)} constructor.
         * @param env
         * @param keyClass
         * @param valueClass
         * @param classCatalog
         * @throws DatabaseException
         */
        @SuppressWarnings("unchecked")
        public void initialize(final Environment env, String dbName,
                final Class valueClass, final StoredClassCatalog classCatalog)
        throws DatabaseException {
            // TODO: tune capacity for actual threads, expected size of key caches? 
            this.memMap = new MapMaker().concurrencyLevel(64).initialCapacity(8192).softValues().makeMap();    
            this.db = openDatabase(env, dbName);
            this.diskMap = createDiskMap(this.db, classCatalog, valueClass);
            // keep a record of items that must be persisted; auto-persist if 
            // unchanged after 5 minutes, or more than 10K would collect
            this.dirtyItems = new MapMaker().concurrencyLevel(64)
                .maximumSize(10000).expireAfterWrite(5,TimeUnit.MINUTES)
                .evictionListener(this).makeMap();
                
            this.count = new AtomicLong(diskMap.size());
        }

    初始化数据库Database db、内存容器ConcurrentMap<String,V> memMap、BDB容器StoredSortedMap<String, V> diskMap、临时容器ConcurrentMap<String,V> dirtyItems等

    Database openDatabase(final Environment environment,final String dbName)方法为根据BDB环境和数据库名创建数据库

    protected Database openDatabase(final Environment environment,
                final String dbName) throws DatabaseException {
            DatabaseConfig dbConfig = new DatabaseConfig();
            dbConfig.setTransactional(false);
            dbConfig.setAllowCreate(true);
            dbConfig.setDeferredWrite(true);
            return environment.openDatabase(null, dbName, dbConfig);
        }

    StoredSortedMap<String, V> createDiskMap(Database database,StoredClassCatalog classCatalog, Class valueClass)方法根据创建的数据库,数据项转换对象以及要存储的类型创建StoredSortedMap<String, V> diskMap对象,显然该对象依赖于BDB数据库(容器里面的项存储于BDB数据库)

    @SuppressWarnings("unchecked")
        protected StoredSortedMap<String, V> createDiskMap(Database database,
                StoredClassCatalog classCatalog, Class valueClass) {
            EntryBinding keyBinding = TupleBinding.getPrimitiveBinding(String.class);
            EntryBinding valueBinding = TupleBinding.getPrimitiveBinding(valueClass);
            if(valueBinding == null) {
                valueBinding = 
                    new KryoBinding<V>(valueClass);
    //                new SerialBinding(classCatalog, valueClass);
    //                new BenchmarkingBinding<V>(new EntryBinding[] {
    //                      new KryoBinding<V>(valueClass),                   
    //                      new RecyclingSerialBinding<V>(classCatalog, valueClass),
    //                  }, valueClass);
            }
            return new StoredSortedMap<String,V>(database, keyBinding, valueBinding, true);
        }

     那么Heritrix3.1.0系统里面是怎样重用容器中的被缓存的对象呢?我们在BdbFrontier类的方法里面可以看到如下方法

    /**
         * Return the work queue for the given classKey, or null
         * if no such queue exists.
         * 
         * @param classKey key to look for
         * @return the found WorkQueue
         */
        protected WorkQueue getQueueFor(final String classKey) {      
            WorkQueue wq = allQueues.getOrUse(
                    classKey,
                    new Supplier<WorkQueue>() {
                        public BdbWorkQueue get() {
                            String qKey = new String(classKey); // ensure private minimal key
                            BdbWorkQueue q = new BdbWorkQueue(qKey, BdbFrontier.this);
                            q.setTotalBudget(getQueueTotalBudget()); //-1
                            System.out.println(getQueuePrecedencePolicy().getClass().getName());
                            getQueuePrecedencePolicy().queueCreated(q);
                            return q;
                        }});
            return wq;
        }

    BdbWorkQueue类即为被管理的对象,该类间接实现了IdentityCacheable接口,从上面我们可以看到,外部类通过调用ObjectIdentityBdbManualCache对象的V getOrUse(final String key, Supplier<V> supplierOrNull)方法获取被缓存的对象

    /* (non-Javadoc)
         * @see org.archive.util.ObjectIdentityCache#get(java.lang.String, org.archive.util.ObjectIdentityBdbCache)
         */
        public V getOrUse(final String key, Supplier<V> supplierOrNull) {
            countOfGets.incrementAndGet();
            
            if (countOfGets.get() % 10000 == 0) {
                logCacheSummary();
            }
            
            // check mem cache
            V val = memMap.get(key);
            if(val != null) {
                // the concurrent garden path: in memory and valid
                cacheHit.incrementAndGet();
                val.setIdentityCache(this); 
                return val;
            }
            val = diskMap.get(key);
            V prevVal; 
            if(val == null) {
                // never yet created, consider creating
                if(supplierOrNull==null) {
                    return null;
                }
                val = supplierOrNull.get();
                supplierUsed.incrementAndGet();
                // putting initial value directly into diskMap
                // (rather than just the memMap until page-out)
                // ensures diskMap.keySet() provides complete view
                prevVal = diskMap.putIfAbsent(key, val); 
                if(prevVal!=null) {
                    // we lost a race; discard our local creation in favor of disk version
                    diskHit.incrementAndGet();
                    val = prevVal;
                } else {
                    // we uniquely added a new key
                    count.incrementAndGet();
                }
            } else {
                diskHit.incrementAndGet();
            }
            
            prevVal = memMap.putIfAbsent(key, val); // fill memMap or lose race gracefully
            if(prevVal != null) {
                val = prevVal; 
            }
            val.setIdentityCache(this); 
            return val; 
        }

    上述方法跟我们以前的缓存管理有点类似,首先根据key从缓存获取对象,如果没有则将新对象加入缓存(以后复用)

    接下来看后面的方法

    void dirtyKey(String key)方法为将指定key的V类型对象从memMap容器同时添加到dirtyItems容器

    @Override
        public void dirtyKey(String key) {
           V val = memMap.get(key);
           if(val==null) {
               logger.severe("dirty key not in memory should be impossible");
           }
           dirtyItems.put(key,val); 
        }

    void onEviction(String key, V val)方法将key/value对象添加到diskMap容器(MapEvictionListener接口方法)

     @Override
        public void onEviction(String key, V val) {
            evictions.incrementAndGet();
            diskMap.put(key, val);
        }

    void sync()方法将dirtyItems容器中的对象同步到BDB数据库

    /**
         * Sync all in-memory map entries to backing disk store.
         */
        public synchronized void sync() {
            String dbName = null;
            // Sync. memory and disk.
            useStatsSyncUsed.incrementAndGet();
            long startTime = 0;
            if (logger.isLoggable(Level.FINE)) {
                dbName = getDatabaseName();
                startTime = System.currentTimeMillis();
                logger.fine(dbName + " start sizes: disk " + this.diskMap.size() +
                    ", mem " + this.memMap.size());
            }
            
            Iterator<Entry<String, V>> iter = dirtyItems.entrySet().iterator();
            while(iter.hasNext()) {
                Entry<String, V> entry = iter.next(); 
                iter.remove();
                diskMap.put(entry.getKey(), entry.getValue());
            }
            
            try {
                this.db.sync();
            } catch (DatabaseException e) {
                throw new RuntimeException(e);
            }
            
            
            if (logger.isLoggable(Level.FINE)) {
                logger.fine(dbName + " sync took " +
                    (System.currentTimeMillis() - startTime) + "ms. " +
                    "Finish sizes: disk " +
                    this.diskMap.size() + ", mem " + this.memMap.size());
            }
        }

    接下来分析IdentityCacheable接口及相关类, IdentityCacheable接口声明的方法很简单,其源码如下:

    /**
     * Common interface for objects held in ObjectIdentityCaches. 
     * 
     * @contributor gojomo
     */
    public interface IdentityCacheable extends Serializable {
        public void setIdentityCache(ObjectIdentityCache<?> cache);
        public String getKey();
        public void makeDirty(); 
    }

    实现该接口的类必须实现上面三方法,我这里主要介绍WorkQueue类(抽象类),它的实现上面方法的相关代码如下

     //
        // IdentityCacheable support
        //
        transient private ObjectIdentityCache<?> cache;
        @Override
        public String getKey() {
            return getClassKey();
        }
    
        @Override
        public void makeDirty() {
            cache.dirtyKey(getKey());
        }
    
        @Override
        public void setIdentityCache(ObjectIdentityCache<?> cache) {
            this.cache = cache; 
        } 

    从这里可以看出,void setIdentityCache(ObjectIdentityCache<?> cache)方法是设置管理当前被缓存的对象的缓存管理类(ObjectIdentityCache类型对象) 

    在void makeDirty()方法里面是回调ObjectIdentityCache类型对象的方法

    ---------------------------------------------------------------------------

    本系列Heritrix 3.1.0 源码解析系本人原创

    转载请注明出处 博客园 刺猬的温驯

    本文链接 http://www.cnblogs.com/chenying99/archive/2013/04/18/3027679.html

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  • 原文地址:https://www.cnblogs.com/chenying99/p/3027679.html
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