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Distributed databases

Distributed databases. A brief introduction (Figure numbers may not be the same as in the book). Distributed database concepts. Distributed database (DDB) Collection of multiple logically interrelated databases distributed over a computer network

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Distributed databases

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  1. Distributed databases A brief introduction (Figure numbers may not be the same as in the book) Distributed databases

  2. Distributed database concepts • Distributed database (DDB) • Collection of multiple logically interrelated databases distributed over a computer network • Distributed database management systems (DDBMS) • Software systems managing a distributed database, making distribution transparent to the users Distributed databases

  3. Transparency • Hiding implementation details from the users of the database • Data organization transparency • Location transparency • Use does not depend on location • Naming transparency • Naming is independent from location • Replication transparency • Copies can be kept for availability, performance, and availability • User are unaware of the existence of these copies • Fragmentation transparency • One table is divided into more locations • Horizontal fragmentation • Table divided by rows • Vertical fragmentation • Table divided by columns Distributed databases

  4. Example: Replication and horizontal fragmentation Distributed databases

  5. Reliability and Availability • Two common advantages of distributed databases • Reliability • The probability that a system is running at a certain time point • Availability • The probability that a system is continuously available during a time interval Distributed databases

  6. Advantages of distributed databases • Improved ease and flexibility of application development • Transparency: Developers do not have to know … • Increased reliability and availability • Faults are isolated to a single site • Improved performance • Data localization, means less network traffic • Parallelism • Easier expansion • Easy to add more data, processors, etc. Distributed databases

  7. Types of distributed database systems • Degree of homogeneity • Homogeneous: All local DBMSs run identical software • Heterogeneous: Local DMBSs run different software • Autonomy • Local autonomy: Local site can function as a standalone DBMS • No autonomy: Local site can not function as a standalone DBMS Distributed databases

  8. Classification of distributed databases Distributed databases

  9. Database system architectures Distributed databases

  10. General architecture Distributed databases

  11. Component architecture of distributed databases Distributed databases

  12. Data fragmentation • Which site should store which portion of the database? • Simple fragmentation • Each site has a whole relation • Horizontal fragmentation • Subset of rows in each site • Sometimes based on location • Vertical fragmentation • Subset of columns in each site • Primary key must be in all sites • Mixed / hybrid fragmentation • Horizontal + vertical fragmentation • Described by fragmentation schema Distributed databases

  13. Example fragmentation Distributed databases

  14. Example fragmentation, continued Distributed databases

  15. Data replication • Replication to improve availability • Fully replicated database • All data is replicated to each site • Non replication • All data is stored at exactly one site • Partial replication • Some data is replicated to some sites • Described by replication schema Distributed databases

  16. Distributed query processing • Query mapping • Query mapped from SQL to relational algebra using the global conceptual schema • Localization • Map query on the global schema to separate queries on the local schemas • Using fragmentation and replication information • Global query optimization • Cost = CPU time + I/O time + communication time • Local query optimization • Same as in centralized databases Distributed databases

  17. Distributed transaction management, Two-phase commit protocol (2PC) • Global transaction manager / coordinator • Coordinates the results of local transaction managers. • All local transaction managers must be able to ”commit”, before actually doing the ”commit” • Two-Phase commit protocol (2PC) • Phase 1 • Individual databases tell the coordinator that they have finished transaction • All individual databases have finished: Coordinator sends ”prepare for commit” to all databases • Individual databases answer ”ready to commit” or ”cannot commit” • Phase 2 • If all databases answered ”ready to commit”, coordinator sends ”commit” to all databases • If one (or more) databases answered ”cannot commit”, coordinator sends ”abort” to all databases. • Timeout: if one (or more) databases does not answer within a given amount of time, coordinator sends ”abort”. Distributed databases

  18. Two-phase commit protocol (2PC) • Problems with 2PC • Coordinator crashes: All participating sites are waiting • No way of knowing whether participating sites really got the ”commit” / ”abort” Distributed databases

  19. Three-phase commit (3PC) Distributed databases

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