Graph database_neo4j 底层存储结构分析(3)
3.3 通用的Store 类型
3.3.1 id 类型
下面是 neo4j db 中,每种Store都有自己的ID文件(即后缀.id 文件),它们的格式都是一样的。
[test00]$ls -lh target/neo4j-test00.db/ |grep .id
-rw-r–r–9 04-11 13:28 neostore.id
-rw-r–r–9 04-11 13:28 neostore.labeltokenstore.db.id
-rw-r–r–9 04-11 13:28 neostore.labeltokenstore.db.names.id
-rw-r–r–9 04-11 13:28 neostore.nodestore.db.id
-rw-r–r–9 04-11 13:28 neostore.nodestore.db.labels.id
-rw-r–r–9 04-11 13:28 neostore.propertystore.db.arrays.id
-rw-r–r–9 04-11 13:28 neostore.propertystore.db.id
-rw-r–r–9 04-11 13:28 neostore.propertystore.db.index.id
-rw-r–r–9 04-11 13:28 neostore.propertystore.db.index.keys.id
-rw-r–r–9 04-11 13:28 neostore.propertystore.db.strings.id
-rw-r–r–9 04-11 13:28 neostore.relationshipgroupstore.db.id
-rw-r–r–9 04-11 13:28 neostore.relationshipstore.db.id
-rw-r–r–9 04-11 13:28 neostore.relationshiptypestore.db.id
-rw-r–r–9 04-11 13:28 neostore.relationshiptypestore.db.names.id
-rw-r–r–9 04-11 13:28 neostore.schemastore.db.id
3.3.1.1 ID类型文件的存储格式
neo4j 中后缀为 “.id”的文件格式如上图所示,由文件头(9 Bytes)和 long类型 数组 2部分构成:
- sticky(1 byte) : if sticky the id generator wasn’t closed properly so it has to berebuilt (go through the node, relationship, property, rel type etc files).
- nextFreeId(long) : 保存最大的ID,该值与对应类型的存储数组的数组大小相对应。
- reuseId(long):用来保存已经释放且可复用的ID值。通过复用ID ,可以减少资源数组的空洞,提高磁盘利用率。
3.3.1.2 IdGeneratorImpl.java
每一种资源类型的ID 分配 neo4j 中是通过 IdGeneratorImpl 来实现的,其功能是负责ID管理分配和回收复用。对于节点,关系,属性等每一种资源类型,都可以生成一个IdGenerator 实例来负责其ID管理分配和回收复用。
3.3.1.2.1 读取id 文件进行初始化
下面试 IdGeneratorImpl.java 中, 读取id 文件进行初始化的过程,IdGeneratorImpl 会从 id 文件中读取grabSize 个可复用的ID (reuseId) 到idsReadFromFile(LinkedList<Long>) 中,在需要申请id 时优先分配 idsReadFromFile中的可复用ID。
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< div > // initialize the id generator and performs a simple validation private synchronized void initGenerator() { try { fileChannel = fs.open( fileName, "rw" ); ByteBuffer buffer = ByteBuffer.allocate( HEADER_SIZE ); readHeader( buffer ); markAsSticky( buffer ); fileChannel.position( HEADER_SIZE ); maxReadPosition = fileChannel.size(); defraggedIdCount = ( int ) (maxReadPosition - HEADER_SIZE) / 8; readIdBatch(); } catch ( IOException e ) { throw new UnderlyingStorageException( "Unable to init id generator " + fileName, e ); } } private void readHeader( ByteBuffer buffer ) throws IOException { readPosition = fileChannel.read( buffer ); if ( readPosition != HEADER_SIZE ) { fileChannel.close(); throw new InvalidIdGeneratorException( "Unable to read header, bytes read: " + readPosition ); } buffer.flip(); byte storageStatus = buffer.get(); if ( storageStatus != CLEAN_GENERATOR ) { fileChannel.close(); throw new InvalidIdGeneratorException( "Sticky generator[ " + fileName + "] delete this id file and build a new one" ); } this .highId.set( buffer.getLong() ); } private void readIdBatch() { if ( !canReadMoreIdBatches() ) return ; try { int howMuchToRead = ( int ) Math.min( grabSize*8, maxReadPosition-readPosition ); ByteBuffer readBuffer = ByteBuffer.allocate( howMuchToRead ); fileChannel.position( readPosition ); int bytesRead = fileChannel.read( readBuffer ); assert fileChannel.position() <= maxReadPosition; readPosition += bytesRead; readBuffer.flip(); assert (bytesRead % 8) == 0; int idsRead = bytesRead / 8; defraggedIdCount -= idsRead; for ( int i = 0; i < idsRead; i++ ) { long id = readBuffer.getLong(); if ( id != INTEGER_MINUS_ONE ) { idsReadFromFile.add( id ); } } } catch ( IOException e ) { throw new UnderlyingStorageException( "Failed reading defragged id batch" , e ); } } |
3.3.1.2.2 释放id(freeId)
用户释放一个 id 后,会先放入 releasedIdList (LinkedList<Long>),当releasedIdList 中回收的 id 个数超过 grabSize 个时, 写入到 id 文件的末尾。所以可见,对于一个 IdGeneratorImpl, 最多有 2 * grabSize 个 id 缓存(releasedIdList 和 idsReadFromFile)。
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< div > /** * Frees the <CODE>id</CODE> making it a defragged id that will be * returned by next id before any new id (that hasn't been used yet) is * returned. * <p> * This method will throw an <CODE>IOException</CODE> if id is negative or * if id is greater than the highest returned id. However as stated in the * class documentation above the id isn't validated to see if it really is * free. */ @Override public synchronized void freeId( long id ) { if ( id == INTEGER_MINUS_ONE ) { return ; } if ( fileChannel == null ) { throw new IllegalStateException( "Generator closed " + fileName ); } if ( id < 0 || id >= highId.get() ) { throw new IllegalArgumentException( "Illegal id[" + id + "]" ); } releasedIdList.add( id ); defraggedIdCount++; if ( releasedIdList.size() >= grabSize ) { writeIdBatch( ByteBuffer.allocate( grabSize*8 ) ); } } |
3.3.1.2.3 申请id ( nextId)
当用户申请一个 id 时,IdGeneratorImpl 在分配时,有2种分配策略: “正常的分配策略” 和激进分配策略”(aggressiveReuse),可以根据配置进行选择。
n “正常的分配策略”:
a) 首先从idsReadFromFile 中分配; 如果 idsReadFromFile 为空,则先从对应的 id 文件中读取已释放且可复用的 id 到idsReadFromFile.
b) 如果 idsReadFromFile 及 id 文件中没有已释放且可复用的 id了,则分配全新的id,即id = highId.get() 并将highId 加1;
n “激进分配策略”(aggressiveReuse):
a) 首先从releasedIdList(刚回收的ID List)中分配。
b) releasedIdList分配光了,则从idsReadFromFile 中分配; 如果 idsReadFromFile 为空,则先从对应的 id 文件中读取已释放且可复用的 id 到idsReadFromFile.
c) 如果 idsReadFromFile 及 id 文件中没有已释放且可复用的 id了,则分配全新的id,即id = highId.get() 并将highId 加1;
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< div > /** * Returns the next "free" id. If a defragged id exist it will be returned * else the next free id that hasn't been used yet is returned. If no id * exist the capacity is exceeded (all values <= max are taken) and a * {@link UnderlyingStorageException} will be thrown. */ @Override public synchronized long nextId() { assertStillOpen(); long nextDefragId = nextIdFromDefragList(); if ( nextDefragId != -1 ) return nextDefragId; long id = highId.get(); if ( id == INTEGER_MINUS_ONE ) { // Skip the integer -1 (0xFFFFFFFF) because it represents // special values, f.ex. the end of a relationships/property chain. id = highId.incrementAndGet(); } assertIdWithinCapacity( id ); highId.incrementAndGet(); return id; } |