NEO4J (二)

README 整理

kernel.impl.coreapi

这个包包含核心API的直接实现。核心API是org.neo4j中定义的API。graphdb及其子包。

这里的类是实现细节，可能会在不通知的情况下更改。

IO

这是Neo4j IO抽象层。

它当前包含磁盘IO机制和文件分页。

Neo4j Kernel

由于历史原因，这个模块包含了Neo4j的多个重要组件:

 - 嵌入的Java API
    - org.neo4j.graphdb
 - 嵌入的Java API实现
    - org.neo4j.kernel.coreapi
    - org.neo4j.kernel.core
 - 嵌入的遍历Java API
   - org.neo4j.graphdb.traversal
 - 嵌入的遍历API实现
    - org.neo4j.kernel.traversal
 - 批量导入
    - org.neo4j.unsafe.impl.batchimport
 - 批处理插入器(遗留)
    - org.neo4j.unsafe.batchinsert
 - 事务状态构建层(“内核API”)
    - org.neo4j.kernel.api
    - org.neo4j.kernel.impl.api
 - 存储引擎
    - org.neo4j.kernel.impl.store,
    - org.neo4j.kernel.impl.recovery
    - org.neo4j.kernel.impl.transaction
 - 配置
    - org.neo4j.kernel.configuration
 - 常见的工具
    - org.neo4j.helpers
    - org.neo4j.kernel.impl.util
    - org.neo4j.kernel.lifecycle
    - org.neo4j.kernel.monitoring
 - 锁
    - org.neo4j.kernel.impl.locking
 - 内核扩展
    - org.neo4j.kernel.extension

The Kernel API

内核API管理与Neo4j内核的所有交互，主要由Cypher runtime 和 Core API。

Usage

这个接口的入口点是链接:src/main/java/org/neo4j/impl/kernel/api/Kernel.java[Kernel] 通过这里，我们可以开始一个链接:src/main/java/org/neo4j/impl/kernel/api/Session.java[Session], 它允许我们开始链接:src/main/java/org/neo4j/impl/kernel api/Transaction.java[Transactions]. 一旦进入事务，我们可以直接访问内核的所有主要功能:

• link:src/main/java/org/neo4j/impl/kernel/api/Read.java[dataRead()] 支持所有数据读取操作
• link:src/main/java/org/neo4j/impl/kernel/api/Write.java[dataWrite()] 支持所有数据写操作
• link:src/main/java/org/neo4j/impl/kernel/api/TokenRead.java[tokenRead()] & link:src/main/java/org/neo4j/impl/kernel/api/TokenWrite.java[tokenWrite()] 允许属性键、节点标签和关系类型的字符串和整数表示形式之间的映射
• 等等……

使用游标读取

读操作使用特殊的游标，这允许在热路径中非常低的对象分配率。

• link:src/main/java/org/neo4j/impl/kernel/api/NodeCursor.java[NodeCursor], link:src/main/java/org/neo4j/impl/kernel/api/RelationshipScanCursor.java[RelationshipScanCursor] and link:src/main/java/org/neo4j/impl/kernel/api/RelationshipTraversalCursor.java[RelationshipTraversalCursor] are the main entry points for accessing nodes and relationships respectively. These types are used directly with the store for scan operations. + For accessing the relationships of a node, we first have to find the relationships of the types we are interested in via an link:src/main/java/org/neo4j/impl/kernel/api/RelationshipGroupCursor.java[RelationshipGroupCursor]. +
• link:src/main/java/org/neo4j/impl/kernel/api/NodeIndexCursor.java[NodeValueIndexCursor] and link:src/main/java/org/neo4j/impl/kernel/api/NodeIndexCursor.java[NodeLabelIndexCursor] (and their shared base link:src/main/java/org/neo4j/impl/kernel/api/NodeIndexCursor.java[NodeIndexCursor]) are used for index lookups. This differentiation allows access to data available within the index which makes it possible to defer and sometimes avoid accessing the node store.
• link:src/main/java/org/neo4j/impl/kernel/api/PropertyCursor.java[PropertyCursor] is used for accessing properties for both nodes and relationships. Property values (and other types of values used in the runtime) are represented by the link:src/main/java/org/neo4j/impl/kernel/api/Value.java[Value] class, but for common predicates link:src/main/java/org/neo4j/impl/kernel/api/PropertyCursor.java[PropertyCursor] provides direct methods for performing these without de-serialization.
• “Explicit Indexes” are accessed through link:src/main/java/org/neo4j/impl/kernel/api/NodeExplicitIndexCursor.java[NodeExplicitIndexCursor] and link:src/main/java/org/neo4j/impl/kernel/api/RelationshipExplicitIndexCursor.java[RelationshipExplicitIndexCursor]. The shared base class link:src/main/java/org/neo4j/impl/kernel/api/ExplicitIndexCursor.java[ExplicitIndexCursor] defines access to the lucene information that leaks through from these search structures out via the “Core API”.
• NOT IMPLEMENTED YET: Parallel scans are initialized through a (thread safe) link:src/main/java/org/neo4j/impl/kernel/api/Scan.java[Scan initializer]. The usage of these is to initialize one cursor per thread. Each thread-local cursor will then proceed through ranges of underlying data elements automatically - no re-initialization is required.

设计说明 通常,游标的设计方法是通过游标直接公开底层表示包含的所有信息。 其思想是将暴露给运行时的游标实现为直接位于页面数据之上的“视图”或“投影”，提供对存储的原始字节的解释。 不过，数据的公开并不会一直进行下去，而是试图在允许底层格式的未来更改之间取得平衡。 作为一个思想实验，我尝试以这样一种方式定义API，应该可以沿着这些方面改变实现:

• 关系可以是现在的独立记录，也可以是非规范化的，对于没有独立id的每个节点按类型分组。
• 属性可以存储在单独的属性存储中，也可以内联存储在节点存储中。

在大多数情况下，通过使用不同的游标类型显式地访问不同的存储。 除了一个例外:link:src/main/java/ org/neo4j/impl/kernel/api/labelset。java[节点的标签]。

总体设计方法是让API的客户机控制游标的生命周期。 这比将游标集中在引擎内更有效。

这样做的原因是，由于客户机是一个查询，所以使用模式是完全已知的，因此可以显式地从池中取出和返回到池中。 同样，可以显式地在同一个查询中重用。但是不允许客户机提供自己的游标类型，必须使用链接提供的类型: link:src/main/java/org/neo4j/impl/kernel/api/CursorFactory.java[CursorFactory].

客户机控制游标的生命周期后，就排除了“Cursor”之类的通用接口，因为我们需要游标是已知的具体类型。

“规范”用法是从其他游标初始化游标，而不是从记录中访问指针值，然后显式初始化游标。 指针值也可以访问，因为向量化的操作管道更喜欢这样的使用模式。

对底层表示的一个更改将使实现这个API更加容易，即使所有节点按照类型对它们的关系进行分组，而不仅仅是密集节点。

此外，如果事务状态以与存储中相同的格式存储在堆外缓冲区中，则实现将更容易和更有效。

---

Neo4j UDC

Usage Data Collector (UDC)是一个内核扩展，它收集关于Neo4j服务器的统计信息。

详见:
https://neo4j.com/docs/operations-manual/current/configuration/usage-data-collector/

---

procedure-compiler

Neo4j工具-过程|用户功能编译器

这是一个注释处理器，它将在编译时验证存储过程。

虽然可以执行大多数基本检查，但是仍然需要一些单元测试来验证一些运行时行为。

它是做什么的?

一旦将存储过程编译器添加到项目类路径中(请参阅下面的Maven/Gradle说明)，如果不满足以下任何要求，它将触发编译失败:

 - `@Context` 字段必须是' public '且非' final '
 - 所有其他字段必须是 `static`
 - `Map` 记录字段/过程参数必须将键类型定义为 `String`
 - `@Procedure`|`@UserFunction` 类必须定义一个没有参数的公共构造函数
 - `@Procedure` 方法必须返回一个流Stream
 - `@Procedure`|`@UserFunction` 参数和记录类型必须支持
 - `@Procedure`|`@UserFunction` 参数必须用 `@Name`标注
 - `@UserFunction` 不能在根名称空间中定义
 - 所有访问过的 `@Procedure`|`@UserFunction`名称必须是唯一的

*已部署的Neo4j实例可以聚合来自不同jar的存储过程。
注释处理器无法检测到jar之间的命名冲突。
根据定义，它一次只能检查一个编译单元。

====== ## class StoreType

StoreType.java
public enum StoreType
{
    NODE_LABEL( DatabaseFile.NODE_LABEL_STORE, true, false )
            {
                @Override
                public CommonAbstractStore open( NeoStores neoStores )
                {
                    return neoStores.createNodeLabelStore();
                }
            },
    NODE( DatabaseFile.NODE_STORE, true, false )
            {
                @Override
                public CommonAbstractStore open( NeoStores neoStores )
                {
                    return neoStores.createNodeStore();
                }
            },
    PROPERTY_KEY_TOKEN_NAME( DatabaseFile.PROPERTY_KEY_TOKEN_NAMES_STORE, true, true )
            {
                @Override
                public CommonAbstractStore open( NeoStores neoStores )
                {
                    return neoStores.createPropertyKeyTokenNamesStore();
                }
            },
    PROPERTY_KEY_TOKEN( DatabaseFile.PROPERTY_KEY_TOKEN_STORE, true, true )
            {
                @Override
                public CommonAbstractStore open( NeoStores neoStores )
                {
                    return neoStores.createPropertyKeyTokenStore();
                }
            },
    PROPERTY_STRING( DatabaseFile.PROPERTY_STRING_STORE, true, false )
            {
                @Override
                public CommonAbstractStore open( NeoStores neoStores )
                {
                    return neoStores.createPropertyStringStore();
                }
            },
    PROPERTY_ARRAY( DatabaseFile.PROPERTY_ARRAY_STORE, true, false )
            {
                @Override
                public CommonAbstractStore open( NeoStores neoStores )
                {
                    return neoStores.createPropertyArrayStore();
                }
            },
    PROPERTY( DatabaseFile.PROPERTY_STORE, true, false )
            {
                @Override
                public CommonAbstractStore open( NeoStores neoStores )
                {
                    return neoStores.createPropertyStore();
                }
            },
    RELATIONSHIP( DatabaseFile.RELATIONSHIP_STORE, true, false )
            {
                @Override
                public CommonAbstractStore open( NeoStores neoStores )
                {
                    return neoStores.createRelationshipStore();
                }
            },
    RELATIONSHIP_TYPE_TOKEN_NAME( DatabaseFile.RELATIONSHIP_TYPE_TOKEN_NAMES_STORE, true, true )
            {
                @Override
                public CommonAbstractStore open( NeoStores neoStores )
                {
                    return neoStores.createRelationshipTypeTokenNamesStore();
                }
            },
    RELATIONSHIP_TYPE_TOKEN( DatabaseFile.RELATIONSHIP_TYPE_TOKEN_STORE, true, true )
            {
                @Override
                public CommonAbstractStore open( NeoStores neoStores )
                {
                    return neoStores.createRelationshipTypeTokenStore();
                }
            },
    LABEL_TOKEN_NAME( DatabaseFile.LABEL_TOKEN_NAMES_STORE, true, true )
            {
                @Override
                public CommonAbstractStore open( NeoStores neoStores )
                {
                    return neoStores.createLabelTokenNamesStore();
                }
            },
    LABEL_TOKEN( DatabaseFile.LABEL_TOKEN_STORE, true, true )
            {
                @Override
                public CommonAbstractStore open( NeoStores neoStores )
                {
                    return neoStores.createLabelTokenStore();
                }
            },
    SCHEMA( DatabaseFile.SCHEMA_STORE, true, true )
            {
                @Override
                public CommonAbstractStore open( NeoStores neoStores )
                {
                    return neoStores.createSchemaStore();
                }
            },
    RELATIONSHIP_GROUP( DatabaseFile.RELATIONSHIP_GROUP_STORE, true, false )
            {
                @Override
                public CommonAbstractStore open( NeoStores neoStores )
                {
                    return neoStores.createRelationshipGroupStore();
                }
            },
    COUNTS( DatabaseFile.COUNTS_STORES, false, false )
            {
                @Override
                public CountsTracker open( NeoStores neoStores )
                {
                    return neoStores.createCountStore();
                }

                @Override
                void close( Object object )
                {
                    try
                    {
                        ((CountsTracker) object).shutdown();
                    }
                    catch ( IOException e )
                    {
                        throw new UnderlyingStorageException( e );
                    }
                }
            },
    META_DATA( DatabaseFile.METADATA_STORE, true, true ) // Make sure this META store is last
            {
                @Override
                public CommonAbstractStore open( NeoStores neoStores )
                {
                    return neoStores.createMetadataStore();
                }
            };

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" alt="" />

ENUM_YPE	CALL_FUNC
NODE_LABEL	createNodeLabelStore
NODE	createNodeStore
PROPERTY_KEY_TOKEN_NAME	createPropertyKeyTokenNamesStore
…	…

class NeoStores

该类包含对“NodeStore、RelationshipStore、PropertyStore和RelationshipTypeStore”的引用。 实际上，NeoStores并不“存储”任何东西，而是为在其中执行的“类型和版本”验证扩展了AbstractStore。

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alt="" />

CommonAbstractStore createNodeStore()
{
    return initialize(
            new NodeStore( layout.nodeStore(), layout.idNodeStore(), config, idGeneratorFactory, pageCache, logProvider,
                    (DynamicArrayStore) getOrCreateStore( StoreType.NODE_LABEL ), recordFormats, openOptions ) );
}

CommonAbstractStore createNodeLabelStore()
{
    return createDynamicArrayStore( layout.nodeLabelStore(), layout.idNodeLabelStore(), IdType.NODE_LABELS,
            GraphDatabaseSettings.label_block_size );
}

CommonAbstractStore createPropertyKeyTokenStore()
{
    return initialize( new PropertyKeyTokenStore( layout.propertyKeyTokenStore(), layout.idPropertyKeyTokenStore(), config,
            idGeneratorFactory, pageCache, logProvider, (DynamicStringStore) getOrCreateStore( StoreType.PROPERTY_KEY_TOKEN_NAME ), recordFormats,
            openOptions ) );
}

CommonAbstractStore createPropertyKeyTokenNamesStore()
{
    return createDynamicStringStore( layout.propertyKeyTokenNamesStore(), layout.idPropertyKeyTokenNamesStore(),
            IdType.PROPERTY_KEY_TOKEN_NAME, TokenStore.NAME_STORE_BLOCK_SIZE );
}

CommonAbstractStore createPropertyStore()
{
    return initialize( new PropertyStore( layout.propertyStore(), layout.idPropertyStore(), config, idGeneratorFactory, pageCache,
            logProvider, (DynamicStringStore) getOrCreateStore( StoreType.PROPERTY_STRING ),
            (PropertyKeyTokenStore) getOrCreateStore( StoreType.PROPERTY_KEY_TOKEN ), (DynamicArrayStore) getOrCreateStore( StoreType.PROPERTY_ARRAY ),
            recordFormats, openOptions ) );
}

CommonAbstractStore createPropertyStringStore()
{
    return createDynamicStringStore( layout.propertyStringStore(), layout.idPropertyStringStore(), IdType.STRING_BLOCK,
            GraphDatabaseSettings.string_block_size );
}

CommonAbstractStore createPropertyArrayStore()
{
    return createDynamicArrayStore( layout.propertyArrayStore(), layout.idPropertyArrayStore(), IdType.ARRAY_BLOCK,
            GraphDatabaseSettings.array_block_size );
}

CommonAbstractStore createRelationshipStore()
{
    return initialize(
            new RelationshipStore( layout.relationshipStore(), layout.idRelationshipStore(), config, idGeneratorFactory,
                    pageCache, logProvider, recordFormats, openOptions ) );
}

CommonAbstractStore createRelationshipTypeTokenStore()
{
    return initialize(
            new RelationshipTypeTokenStore( layout.relationshipTypeTokenStore(), layout.idRelationshipTypeTokenStore(), config,
                    idGeneratorFactory, pageCache, logProvider, (DynamicStringStore) getOrCreateStore( StoreType.RELATIONSHIP_TYPE_TOKEN_NAME ),
                    recordFormats, openOptions ) );
}

CommonAbstractStore createRelationshipTypeTokenNamesStore()
{
    return createDynamicStringStore( layout.relationshipTypeTokenNamesStore(), layout.idRelationshipTypeTokenNamesStore(),
            IdType.RELATIONSHIP_TYPE_TOKEN_NAME, TokenStore.NAME_STORE_BLOCK_SIZE );
}

CommonAbstractStore createLabelTokenStore()
{
    return initialize(
            new LabelTokenStore( layout.labelTokenStore(), layout.idLabelTokenStore(), config, idGeneratorFactory, pageCache,
                    logProvider, (DynamicStringStore) getOrCreateStore( StoreType.LABEL_TOKEN_NAME ), recordFormats, openOptions ) );
}

CommonAbstractStore createSchemaStore()
{
    return initialize(
            new SchemaStore( layout.schemaStore(), layout.idSchemaStore(), config, IdType.SCHEMA, idGeneratorFactory, pageCache,
                    logProvider, recordFormats, openOptions ) );
}

CommonAbstractStore createRelationshipGroupStore()
{
    return initialize( new RelationshipGroupStore( layout.relationshipGroupStore(), layout.idRelationshipGroupStore(), config,
            idGeneratorFactory, pageCache, logProvider, recordFormats, openOptions ) );
}

CommonAbstractStore createLabelTokenNamesStore()
{
    return createDynamicStringStore( layout.labelTokenNamesStore(), layout.idLabelTokenNamesStore(), IdType.LABEL_TOKEN_NAME,
            TokenStore.NAME_STORE_BLOCK_SIZE );
}

CountsTracker createCountStore()
{
    boolean readOnly = config.get( GraphDatabaseSettings.read_only );
    CountsTracker counts = readOnly
                           ? createReadOnlyCountsTracker( layout )
                           : createWritableCountsTracker( layout );
    NeoStores neoStores = this;
    counts.setInitializer( new DataInitializer<CountsAccessor.Updater>()
    {
        private final Log log = logProvider.getLog( MetaDataStore.class );

        @Override
        public void initialize( CountsAccessor.Updater updater )
        {
            log.warn( "Missing counts store, rebuilding it." );
            new CountsComputer( neoStores, pageCache, layout ).initialize( updater );
            log.warn( "Counts store rebuild completed." );
        }

        @Override
        public long initialVersion()
        {
            return ((MetaDataStore) getOrCreateStore( StoreType.META_DATA )).getLastCommittedTransactionId();
        }
    } );

    try
    {
        counts.init(); // TODO: move this to LifeCycle
    }
    catch ( IOException e )
    {
        throw new UnderlyingStorageException( "Failed to initialize counts store", e );
    }
    return counts;
}

CommonAbstractStore createMetadataStore()
{
    return initialize(
            new MetaDataStore( metadataStore, layout.idMetadataStore(), config, idGeneratorFactory, pageCache, logProvider,
                    recordFormats.metaData(), recordFormats.storeVersion(), openOptions ) );
}

private CommonAbstractStore createDynamicStringStore( File storeFile, File idFile, IdType idType, Setting<Integer> blockSizeProperty )
{
    return createDynamicStringStore( storeFile, idFile, idType, config.get( blockSizeProperty ) );
}

private CommonAbstractStore createDynamicStringStore( File storeFile, File idFile, IdType idType, int blockSize )
{
    return initialize( new DynamicStringStore( storeFile, idFile, config, idType, idGeneratorFactory,
            pageCache, logProvider, blockSize, recordFormats.dynamic(), recordFormats.storeVersion(),
            openOptions ) );
}

private CommonAbstractStore createDynamicArrayStore( File storeFile, File idFile, IdType idType, Setting<Integer> blockSizeProperty )
{
    return createDynamicArrayStore( storeFile, idFile, idType, config.get( blockSizeProperty ) );
}

CommonAbstractStore createDynamicArrayStore( File storeFile, File idFile, IdType idType, int blockSize )
{
    if ( blockSize <= 0 )
    {
        throw new IllegalArgumentException( "Block size of dynamic array store should be positive integer." );
    }
    return initialize( new DynamicArrayStore( storeFile, idFile, config, idType, idGeneratorFactory, pageCache,
            logProvider, blockSize, recordFormats, openOptions ) );
}

createCountStore()	createCountStore()
…	CommonAbstractStore

显然,仅有createCountStore() 返回 createCountStore().其余均为CommonAbstractStore.

createNodeStore	initialize(new NodeStore())
createPropertyKeyTokenStore	initialize( new PropertyKeyTokenStore())
createPropertyStore	initialize( new PropertyStore())
createRelationshipStore	initialize(new RelationshipStore())
createRelationshipTypeTokenStore	initialize(new RelationshipTypeTokenStore())
createLabelTokenStore	initialize(new LabelTokenStore())
createSchemaStore	initialize(new SchemaStore())
createRelationshipGroupStore	initialize( new RelationshipGroupStore())
createMetadataStore	initialize(new MetaDataStore())
createDynamicStringStore	initialize( new DynamicStringStore())
createDynamicArrayStore	initialize( new DynamicArrayStore()) private 检查blockSize
createNodeLabelStore	createDynamicArrayStore()
createPropertyArrayStore	createDynamicArrayStore()
createDynamicArrayStore	createDynamicArrayStore()
createPropertyKeyTokenNamesStore	createDynamicStringStore()
createPropertyStringStore	createDynamicStringStore()
createRelationshipTypeTokenNamesStore	createDynamicStringStore()
createLabelTokenNamesStore	createDynamicStringStore()
createDynamicStringStore	createDynamicStringStore()
createCountStore	special

NeoStores.java
private CommonAbstractStore createDynamicStringStore( File storeFile, File idFile, IdType idType, Setting<Integer> blockSizeProperty )
{
    return createDynamicStringStore( storeFile, idFile, idType, config.get( blockSizeProperty ) );
}

private CommonAbstractStore createDynamicStringStore( File storeFile, File idFile, IdType idType, int blockSize )
{
    return initialize( new DynamicStringStore( storeFile, idFile, config, idType, idGeneratorFactory,
            pageCache, logProvider, blockSize, recordFormats.dynamic(), recordFormats.storeVersion(),
            openOptions ) );
}

private CommonAbstractStore createDynamicArrayStore( File storeFile, File idFile, IdType idType, Setting<Integer> blockSizeProperty )
{
    return createDynamicArrayStore( storeFile, idFile, idType, config.get( blockSizeProperty ) );
}

CommonAbstractStore createDynamicArrayStore( File storeFile, File idFile, IdType idType, int blockSize )
{
    if ( blockSize <= 0 )
    {
        throw new IllegalArgumentException( "Block size of dynamic array store should be positive integer." );
    }
    return initialize( new DynamicArrayStore( storeFile, idFile, config, idType, idGeneratorFactory, pageCache,
            logProvider, blockSize, recordFormats, openOptions ) );
}

可见,这里都是直接或间接调用 initialize(new <type>(args…)) 实现的.

NeoStores.java
private <T extends CommonAbstractStore> T initialize( T store )
    {
        store.initialise( createIfNotExist );
        return store;
    }

CommonAbstractStore.java

void initialise( boolean createIfNotExists )
    {
        try
        {
            checkAndLoadStorage( createIfNotExists );
        }
        catch ( Exception e )
        {
            closeAndThrow( e );
        }
    }

NeoStores类包含对“NodeStore、RelationshipStore、PropertyStore和RelationshipTypeStore”的引用。 实际上，NeoStores并不“存储”任何东西，而是为在其中执行的“类型和版本”验证扩展了AbstractStore。

CommonAbstractStore.java

/**
 * This method is called by constructors. Checks the header record and loads the store.
 * <p>
 * Note: This method will map the file with the page cache. The store file must not
 * be accessed directly until it has been unmapped - the store file must only be
 * accessed through the page cache.
 * @param createIfNotExists If true, creates and initialises the store file if it does not exist already. If false,
 * this method will instead throw an exception in that situation.
 */
protected void checkAndLoadStorage( boolean createIfNotExists )
{
    int pageSize = pageCache.pageSize();
    int filePageSize;
    try ( PagedFile pagedFile = pageCache.map( storageFile, pageSize, ANY_PAGE_SIZE ) )
    {
        extractHeaderRecord( pagedFile );
        filePageSize = pageCache.pageSize() - pageCache.pageSize() % getRecordSize();
    }
    catch ( NoSuchFileException | StoreNotFoundException e )
    {
        if ( createIfNotExists )
        {
            try
            {
                createStore( pageSize );
                return;
            }
            catch ( IOException e1 )
            {
                e.addSuppressed( e1 );
            }
        }
        if ( e instanceof StoreNotFoundException )
        {
            throw (StoreNotFoundException) e;
        }
        throw new StoreNotFoundException( "Store file not found: " + storageFile, e );
    }
    catch ( IOException e )
    {
        throw new UnderlyingStorageException( "Unable to open store file: " + storageFile, e );
    }
    loadStorage( filePageSize );
}

此方法由构造函数调用。检查头记录并加载存储。

注意:这个方法将用页面缓存映射文件。在未映射之前，不能直接访问存储文件——只能通过页面缓存访问存储文件。 @param createIfNotExists(如果为真)创建并初始化存储文件(如果它还不存在)。如果为false，则此方法将在这种情况下抛出异常。 这里调用createStore(pageSize)创建存储文件.

CommonAbstractStore.java

private void createStore( int pageSize ) throws IOException
{
    try ( PagedFile file = pageCache.map( storageFile, pageSize, StandardOpenOption.CREATE ) )
    {
        initialiseNewStoreFile( file );
    }
    checkAndLoadStorage( false );
}

protected void initialiseNewStoreFile( PagedFile file ) throws IOException
{
    if ( getNumberOfReservedLowIds() > 0 )
    {
        try ( PageCursor pageCursor = file.io( 0, PF_SHARED_WRITE_LOCK ) )
        {
            if ( pageCursor.next() )
            {
                pageCursor.setOffset( 0 );
                createHeaderRecord( pageCursor );
                if ( pageCursor.checkAndClearBoundsFlag() )
                {
                    throw new UnderlyingStorageException(
                            "Out of page bounds when writing header; page size too small: " + pageCache.pageSize() +
                                    " bytes." );
                }
            }
        }
    }

    // Determine record size right after writing the header since some stores
    // use it when initializing their stores to write some records.
    recordSize = determineRecordSize();

    idGeneratorFactory.create( idFile, getNumberOfReservedLowIds(), false );
}

private void createHeaderRecord( PageCursor cursor )
{
    int offset = cursor.getOffset();
    storeHeaderFormat.writeHeader( cursor );
    cursor.setOffset( offset );
    readHeaderAndInitializeRecordFormat( cursor );
}

/**
 * This method is called when opening the store to extract header data and determine things like
 * record size of the specific record format for this store. Some formats rely on information
 * in the store header, that's why it happens at this stage.
 *
 * @param cursor {@link PageCursor} initialized at the start of the store header where header information
 * can be read if need be. This can be {@code null} if this store has no store header. The initialization
 * of the record format still happens in here.
 * @throws IOException if there were problems reading header information.
 */
private void readHeaderAndInitializeRecordFormat( PageCursor cursor )
{
    storeHeader = storeHeaderFormat.readHeader( cursor );
}

IntStoreHeaderFormat.java

@Override
public IntStoreHeader readHeader( PageCursor cursor )
{
    return new IntStoreHeader( cursor.getInt() );
}

IO

org.neo4j.io.pagecache.PageCache

ChangeLog

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" 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[ ] 发现了 readme.md 或许有点用