基础上，Haerder和Reuter在1983年中提出了事务的隔离性并提出术语 “ACID”，自此，事务的ACID四个性质成为业内标准术语 8 Disk-Oriented DBMS Components 数据库管理系统组成图 Hector Garcia-Molina /Jeffrey D.Ullman/Jennifer Widom《数据库系统实现》 查询编译器/ 优化器 事务管理器 DDL编译器 Gregg 11 缓冲区Buffer Pool page … Buffer Pool Manager (Main Memory) Access Methods and other components dirty bit reference count ● ● ● ● Non-Volatile Storage 12 ■ Force / No-Force Force: 事务提交 → 10 T2: B → 8; C → 10 17 Buffer Pool and Log Buffer page page … Access Methods and other components Data files Log files Log Buffer Pool Log record … Log buffer Random Access Cost: ~15ms

PageRank and Personalized PageRank 924 Single Source Shortest Path (SSSP) 925 Weakly Connected Components 925 Measures 925 Average Path Length 926 Closeness Centrality 926 Graph Diameter 926 In-Out full text search and text analysis VMware Greenplum 7 also bundles or packages these open source components: diskquota MADlib PL/Container PL/Java PL/R PostGIS VMware Greenplum Platform Extension running a MADlib query. This issue is resolved; the new warm start capability of weakly connected components (available in MADlib version 1.21+) limits the number of subtransactions in a given session to

PageRank and Personalized PageRank 895 Single Source Shortest Path (SSSP) 896 Weakly Connected Components 896 Measures 896 Average Path Length 897 Closeness Centrality 897 Graph Diameter 897 In-Out warm start capability of weakly connected VMware Greenplum 6 Documentation VMware, Inc. 156 components (available in MADlib version 1.21+) limits the number of subtransactions in a given session to of the feature, possibly requiring script updates on your part. Refer to the Weakly Connected Components MADlib documentation for more information. Cluster Management 14627 Updates incremental recovery

PageRank and Personalized PageRank 401 Single Source Shortest Path (SSSP) 401 Weakly Connected Components 402 Measures 402 Average Path Length 402 Closeness Centrality 403 Graph Diameter 403 In-Out hardware is vital to achieving the best possible performance. This chapter describes the major components of a Greenplum Database system and the hardware considerations and concepts associated with each their relationships (edges). Example objects could be people, locations, cities, computers, or components on a circuit board. Example connections could be roads, circuits, cables, or interpersonal relationships

PageRank and Personalized PageRank 410 Single Source Shortest Path (SSSP) 410 Weakly Connected Components 411 Measures 411 Average Path Length 411 Closeness Centrality 412 Graph Diameter 412 In-Out hardware is vital to achieving the best possible performance. This chapter describes the major components of a Greenplum Database system and the hardware considerations and concepts associated with each their relationships (edges). Example objects could be people, locations, cities, computers, or components on a circuit board. Example connections could be roads, circuits, cables, or interpersonal relationships

PageRank and Personalized PageRank 336 Single Source Shortest Path (SSSP) 336 Weakly Connected Components 337 Measures 337 Average Path Length 337 Closeness Centrality 338 Graph Diameter 338 VMware hardware is vital to achieving the best possible performance. This chapter describes the major components of a Greenplum Database system and the hardware considerations and concepts associated with each their relationships (edges). Example objects could be people, locations, cities, computers, or components on a circuit board. Example connections could be roads, circuits, cables, or interpersonal relationships

PageRank and Personalized PageRank 914 Single Source Shortest Path (SSSP) 914 Weakly Connected Components 915 Measures 915 Average Path Length 915 Closeness Centrality 915 Graph Diameter 916 In-Out Inc 269 Greenplum Database Concepts This section provides an overview of Greenplum Database components and features such as high availability, parallel data loading features, and management utilities Database. For example, the system catalog, optimizer, query executor, and transaction manager components have been modified and enhanced to be able to run queries simultaneously across all of the parallel

PageRank and Personalized PageRank 885 Single Source Shortest Path (SSSP) 886 Weakly Connected Components 886 Measures 886 Average Path Length 887 Closeness Centrality 887 Graph Diameter 887 In-Out Inc 261 Greenplum Database Concepts This section provides an overview of Greenplum Database components and features such as high availability, parallel data loading features, and management utilities Database. For example, the system catalog, optimizer, query executor, and transaction manager components have been modified and enhanced to be able to run queries simultaneously across all of the parallel

PageRank and Personalized PageRank 883 Single Source Shortest Path (SSSP) 884 Weakly Connected Components 884 Measures 885 Average Path Length 885 Closeness Centrality 885 Graph Diameter 885 In-Out Inc. 257 Greenplum Database Concepts This section provides an overview of Greenplum Database components and features such as high availability, parallel data loading features, and management utilities Database. For example, the system catalog, optimizer, query executor, and transaction manager components have been modified and enhanced to be able to run queries simultaneously across all of the parallel

PageRank and Personalized PageRank 771 Single Source Shortest Path (SSSP) 771 Weakly Connected Components 772 Measures 772 Average Path Length 772 Closeness Centrality 772 Graph Diameter 772 In-Out Inc 233 Greenplum Database Concepts This section provides an overview of Greenplum Database components and features such as high availability, parallel data loading features, and management utilities Database. For example, the system catalog, optimizer, query executor, and transaction manager components have been modified and enhanced to be able to run queries simultaneously across all of the parallel