容灾保障 （ BR ） 元数据层 事务管理 MVOCC 计算层 Cypher AST 优化器 图计算 内存加速引 擎 服务接口 HTTP/RPC Spark 连接器 Python UDF 执行器 索引管理 一致性存储 RAFT 分片管理 元数据 集群管理 用户权限 GNN 应用层 Atlas 图平台 Atlas Studio

HotSpot垃圾收集器》 • 庄振运《OS造成的长时间非典型JVM GC停顿：深度分析和 解决》 • 陶春华《Golang在BaiduFrontEnd的应用》 • 俞育才《最优化 Spark 应用的性能—使用低成本的层次 化方案加速大数据处理》 ……与其研究怎样优化GC、提高运行性能 ……不如考虑干掉GC，永绝后患 Static and dynamic dispatch trait

remain 'alive' (in scope) for at least as long as our slice. • The question about modifying a[3] can spark an interesting discussion, but the answer is that for memory safety reasons you cannot do it through

remain 'alive' (in scope) for at least as long as our slice. • The question about modifying a[3] can spark an interesting discussion, but the answer is that for memory safety reasons you cannot do it through

remain 'alive' (in scope) for at least as long as our slice. • The question about modifying a[3] can spark an interesting discussion, but the answer is that for memory safety reasons you cannot do it through

remain 'alive' (in scope) for at least as long as our slice. • The question about modifying a[3] can spark an interesting discussion, but the answer is that for memory safety reasons you cannot do it through

remain 'alive' (in scope) for at least as long as our slice. • The question about modifying a[3] can spark an interesting discussion, but the answer is that for memory safety reasons you cannot do it through

remain 'alive' (in scope) for at least as long as our slice. • The question about modifying a[3] can spark an interesting discussion, but the answer is that for memory safety reasons you cannot do it through