Principles of distributed database systems:
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cham, Switzerland
Springer
2020
|
| Edition: | Fourth Edition |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | xvii, 674 Seiten Illustrationen, Diagramme, Karten |
| ISBN: | 9783030262525 |
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Record in the Search Index
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| adam_text | Contents 1 Introduction................................................................................................... 1.1 What Is a Distributed Database System?......................................... 1.2 History of Distributed DBMS .......................................................... 1.3 Data Delivery Alternatives................................................................ 1.4 Promises of Distributed DBMSs..................................................... 1.4.1 Transparent Management of Distributed and Replicated Data.................................................................. 1.4.2 Reliability Through Distributed Transactions................. 1.4.3 Improved Performance..................................................... 1.4.4 Scalability ......................................................................... 1.5 Design Issues...................................................................................... 1.5.1 Distributed Database Design ........................................... 1.5.2 Distributed Data Control.................................................. 1.5.3 Distributed Query Processing........................................... 1.5.4 Distributed Concurrency Control..................................... 1.5.5 Reliability of Distributed DBMS..................................... 1.5.6 Replication......................................................................... 1.5.7 Parallel DBMSs................................................................ 1.5.8 Database Integration........................................................
1.5.9 Alternative Distribution Approaches............................... 1.5.10 Big Data Processing and NoSQL..................................... 1.6 Distributed DBMS Architectures..................................................... 1.6.1 Architectural Models for Distributed DBMSs............... 1.6.2 Client/Server Systems....................................................... 1.6.3 Peer-to-Peer Systems........................................................ 1.6.4 Multidatabase Systems..................................................... 1.6.5 Cloud Computing............................................................. 1.7 Bibliographic Notes........................................................................... 1 1 3 5 7 7 10 11 13 13 13 14 14 14 15 15 16 16 16 16 17 17 20 22 25 27 31 xi
Contents 2 Distributed and Parallel Database Design.............................................. 2.1 Data Fragmentation........................................................................... 2.1.1 Horizontal Fragmentation................................................. 2.1.2 Vertical Fragmentation...................................................... 2.1.3 Hybrid Fragmentation....................................................... 2.2 Allocation.................................... 2.2.1 Auxiliary Information....................................................... 2.2.2 Allocation Model............................................................... 2.2.3 Solution Methods ............................................................. 2.3 Combined Approaches...................................................................... 2.3.1 Workload-Agnostic Partitioning Techniques ................. 2.3.2 Workload-Aware Partitioning Techniques...................... 2.4 Adaptive Approaches........................................................................ 2.4.1 Detecting Workload Changes........................................... 2.4.2 Detecting Affected Items................................................. 2.4.3 Incremental Reconfiguration............................................. 2.5 Data Directory.................................................................................... 2.6 Conclusion.......................................................................................... 2.7 Bibliographic
Notes........................................................................... 33 35 37 52 65 66 68 69 72 72 73 74 78 79 79 80 82 83 84 3 Distributed Data Control........................................................................... 3.1 View Management............................................................................. 3.1.1 Views in Centralized DBMSs........................................... 3.1.2 Views in Distributed DBMSs........................................... 3.1.3 Maintenance of Materialized Views................................ 3.2 Access Control................................................................................... 3.2.1 Discretionary Access Control........................................... 3.2.2 Mandatory Access Control.............................................. 3.2.3 Distributed Access Control.............................................. 3.3 Semantic Integrity Control................................................................ 3.3.1 Centralized Semantic Integrity Control.......................... 3.3.2 Distributed Semantic Integrity Control............................ 3.4 Conclusion.......................................................................................... 3.5 Bibliographic Notes........................................................................... 91 92 92 95 96 102 103 106 108 110 Ill 116 123 123 4 Distributed Query Processing .................................................................. 129 4.1 Overview.............................................................................................
130 4.1.1 Query Processing Problem............................................... 130 4.1.2 Query Optimization.......................................................... 133 4.1.3 Layers Of Query Processing............................................ 136 4.2 Data Localization................................................................................ 140 4.2.1 Reduction for Primary Horizontal Fragmentation......... 141 4.2.2 Reduction with Join.......................................................... 142 4.2.3 Reduction for Vertical Fragmentation............................. 143 4.2.4 Reduction for Derived Fragmentation............................. 145 4.2.5 Reduction for Hybrid Fragmentation............................... 148
Contents 4.3 xiii Join Ordering in Distributed Queries............................................... 4.3.1 Join Trees........................................................................... 4.3.2 Join Ordering..................................................................... 4.3.3 Semijoin-Based Algorithms............................................ 4.3.4 Join Versus Semijoin......................................................... Distributed Cost Model..................................................................... 4.4.1 Cost Functions................................................................... 4.4.2 Database Statistics............................................................ Distributed Query Optimization....................................................... 4.5.1 Dynamic Approach............................................................ 4.5.2 Static Approach................................................................ 4.5.3 Hybrid Approach............................................................... Adaptive Query Processing............................................................... 4.6.1 Adaptive Query Processing Process................................ 4.6.2 Eddy Approach.................................................................. Conclusion.......................................................................................... Bibliographic Notes........................................................................... 149 149 151 153 156 157 157 159 161 161 165 169 173 174 176 177 178 5 Distributed Transaction
Processing........................................................ 5.1 Background and Terminology.......................................................... 5.2 Distributed Concurrency Control...................................................... 5.2.1 Locking-Based Algorithms.............................................. 5.2.2 Timestamp-Based Algorithms......................................... 5.2.3 Multiversion Concurrency Control.................................. 5.2.4 Optimistic Algorithms...................................................... 5.3 Distributed Concurrency Control Using Snapshot Isolation......... 5.4 Distributed DBMS Reliability.......................................................... 5.4.1 Two-Phase Commit Protocol........................................... 5.4.2 Variations of 2PC............................................................... 5.4.3 Dealing with Site Failures............................................... 5.4.4 Network Partitioning......................................................... 5.4.5 Paxos Consensus Protocol............................................... 5.4.6 Architectural Considerations........................................... 5.5 Modem Approaches to Scaling Out Transaction Management.... 5.5.1 Spanner.............................................................................. 5.5.2 LeanXcale......................................................................... 5.6 Conclusion.......................................................................................... 5.7 Bibliographic
Notes........................................................................... 183 184 188 189 197 203 205 206 209 211 217 220 227 231 234 236 237 237 239 241 6 Data Replication ........................................................................................ 6.1 Consistency of Replicated Databases.............................................. 6.1.1 Mutual Consistency.......................................................... 6.1.2 Mutual Consistency Versus Transaction Consistency ... 6.2 Update Management Strategies......................................................... 6.2.1 Eager Update Propagation............................................... 6.2.2 Lazy Update Propagation................................................. 247 249 249 251 252 253 254 4.4 4.5 4.6 4.7 4.8
xiv Contents 6.2.3 Centralized Techniques.................................................... 6.2.4 Distributed Techniques...................................................... Replication Protocols........................................................................ 6.3.1 Eager Centralized Protocols............................................. 6.3.2 Eager Distributed Protocols.............................................. 6.3.3 Lazy Centralized Protocols.............................................. 6.3.4 Lazy Distributed Protocols .............................................. Group Communication....................................................................... Replication and Failures.................................................................... 6.5.1 Failures and Lazy Replication.......................................... 6.5.2 Failures and Eager Replication........................................ Conclusion................................. Bibliographic Notes........................................................................... 254 255 255 256 262 262 268 269 272 273 273 276 277 7 Database Integration—Multidatabase Systems..................................... 7.1 Database Integration.......................................................................... 7.1.1 Bottom-Up Design Methodology ................................... 7.1.2 Schema Matching............................................................. 7.1.3 Schema Integration............................................................ 7.1.4 Schema
Mapping............................................................... 7.1.5 Data Cleaning.................................................................... 7.2 Multidatabase Query Processing...................................................... 7.2.1 Issues in Multidatabase Query Processing...................... 7.2.2 Multidatabase Query Processing Architecture................ 7.2.3 Query Rewriting Using Views.......................................... 7.2.4 Query Optimization and Execution................................ 7.2.5 Query Translation and Execution..................................... 7.3 Conclusion......................... 7.4 Bibliographic Notes........................................................................... 281 282 283 287 296 298 306 307 308 309 311 317 329 332 334 8 Parallel Database Systems..................... 8.1 Objectives............................................................................................ 8.2 Parallel Architectures........................................................................ 8.2.1 General Architecture......................................................... 8.2.2 Shared-Memory................................................................ 8.2.3 Shared-Disk...................................................................... 8.2.4 Shared-Nothing.................................................................. 8.3 Data Placement................................................................................... 8.4 Parallel Query Processing..................................................................
8.4.1 Parallel Algorithms for Data Processing......................... 8.4.2 Parallel Query Optimization............................................. 8.5 Load Balancing................................................................................... 8.5.1 Parallel Execution Problems.............................................. 8.5.2 Intraoperator Load Balancing........................................... 8.5.3 Interoperator Load Balancing........................................... 8.5.4 Intraquery Load Balancing.............................................. 349 350 352 353 355 357 358 359 362 362 369 374 374 376 378 378 6.3 6.4 6.5 6.6 6.7
Contents 8.6 8.7 8.8 8.9 *v Fault-Tolerance................................................................................... Database Clusters.............................................................................. 8.7.1 Database Cluster Architecture......................................... 8.7.2 Replication......................................................................... 8.7.3 Load Balancing.................................................................. 8.7.4 Query Processing............................................................... Conclusion.......................................................................................... Bibliographic Notes........................................................................... 383 384 385 386 386 387 390 390 9 Peer-to-Peer Data Management.................................................................. 9.1 Infrastructure...................................................................................... 9.1.1 Unstructured P2P Networks............................................ 9.1.2 Structured P2P Networks................................................. 9.1.3 Superpeer P2P Networks................................................. 9.1.4 Comparison of P2P Networks......................................... 9.2 Schema Mapping in P2P Systems.................................................... 9.2.1 Pairwise Schema Mapping............................................... 9.2.2 Mapping Based on Machine Learning Techniques........ 9.2.3 Common Agreement Mapping........................................ 9.2.4
Schema Mapping Using IR Techniques.......................... 9.3 Querying Over P2P Systems............................................................. 9.3.1 Top-к Queries................................................................... 9.3.2 Join Queries...................................................................... 9.3.3 Range Queries................................................................... 9.4 Replica Consistency........................................................................... 9.4.1 Basic Support in DHTs.................................................... 9.4.2 Data Currency in DHTs.................................................... 9.4.3 Replica Reconciliation...................................................... 9.5 Blockchain.......................................................................................... 9.5.1 Blockchain Definition....................................................... 9.5.2 Blockchain Infrastructure................................................. 9.5.3 Blockchain 2.0................................................................... 9.5.4 Issues.................................................................................. 9.6 Conclusion.......................................................................................... 9.7 Bibliographic Notes........................................................................... 395 398 399 402 406 408 408 408 409 410 411 411 412 424 425 428 429 431 432 436 437 438 442 443 444 445 10 Big Data
Processing...................................................................................... 10.1 Distributed Storage Systems............................................................. 10.1.1 Google File System.......................................................... 10.1.2 Combining Object Storage and File Storage.................. 10.2 Big Data Processing Frameworks.................................................... 10.2.1 MapReduce Data Processing........................................... 10.2.2 Data Processing Using Spark........................................... 10.3 Stream Data Management................................................................ 10.3.1 Stream Models, Languages, and Operators.................... 10.3.2 Query Processing over Data Streams............................... 10.3.3 DSS Fault-Tolerance........................................................ 449 451 453 454 455 456 466 470 472 476 483
xvi Contents 10.4 Graph Analytics Platforms................................................................ 10.4.1 Graph Partitioning............................................................. 10.4.2 MapReduce and Graph Analytics................................... 10.4.3 Special-Purpose Graph Analytics Systems.................... 10.4.4 Vertex-Centric Block Synchronous.................................. 10.4.5 Vertex-Centric Asynchronous.......................................... 10.4.6 Vertex-Centric Gather-Apply-Scatter............................. 10.4.7 Partition-Centric Block Synchronous Processing........... 10.4.8 Partition-Centric Asynchronous...................................... 10.4.9 Partition-Centric Gather-Apply-Scatter.......................... 10.4.10 Edge-Centric Block Synchronous Processing................ 10.4.11 Edge-Centric Asynchronous............................................. 10.4.12 Edge-Centric Gather-Apply-Scatter................................ Data Lakes.......................................................................................... 10.5.1 Data Lake Versus Data Warehouse.................................. 10.5.2 Architecture...................................................................... 10.5.3 Challenges.......................................................................... Conclusion.......................................................................................... Bibliographic Notes........................................................................... 486 489 494 495 498 501 503 504 506 506 507 507 507 508 508
510 511 512 512 NoSQL, NewSQL, and Polystores............................................................ 11.1 Motivations for NoSQL..................................................................... 11.2 Key-Value Stores............................................................................... 11.2.1 DynamoDB........................................................................ 11.2.2 Other Key-Value Stores..................................................... 11.3 Document Stores................................................................................ 11.3.1 MongoDB .......................................................................... 11.3.2 Other Document Stores.................................................... 11.4 Wide Column Stores.......................................................................... 11.4.1 Bigtable.............................................................................. 11.4.2 Other Wide Column Stores............................................... 11.5 Graph DBMSs.................................................................................... 11.5.1 Neo4j................................................................................... 11.5.2 Other Graph Databases.................................................... 11.6 Hybrid Data Stores............................................................................. 11.6.1 Multimodel NoSQL Stores.............................................. 11.6.2 NewSQL DBMSs............................................................. 11.7
Polystores............................................................................................ 11.7.1 Loosely Coupled Polystores............................................. 11.7.2 Tightly Coupled Polystores.............................................. 11.7.3 Hybrid Systems................................................................ 11.7.4 Concluding Remarks.......................................................... 11.8 Conclusion.................................................. 11.9 Bibliographic Notes........................................................................... 519 520 521 522 524 525 525 528 529 529 531 531 532 535 535 536 537 540 540 544 549 553 554 555 10.5 10.6 10.7 11
Contents xvii 12 Web Data Management............................................................................... 12.1 Web Graph Management................................................................... 12.2 Web Search......................................................................................... 12.2.1 Web Crawling................................................................... 12.2.2 Indexing............................................................................ 12.2.3 Ranking and Link Analysis.............................................. 12.2.4 Evaluation of Keyword Search........................................ 12.3 Web Querying.................................................................................... 12.3.1 Semistructuređ Data Approach........................................ 12.3.2 Web Query Language Approach ..................................... 12.4 Question Answering Systems............................................................ 12.5 Searching and Querying the Hidden Web........................................ 12.5.1 Crawling the Hidden Web............................................... 12.5.2 Metasearching................................................................... 12.6 Web Data Integration......................................................................... 12.6.1 Web Tables/Fusion Tables............................................... 12.6.2 Semantic Web and Linked Open Data............................ 12.6.3 Data Quality Issues in Web Data Integration................. 12.7 Bibliographic
Notes........................................................................... 559 560 562 563 566 567 568 569 570 574 580 584 585 586 588 589 590 608 615 A Overview of Relational DBMS................................................................... 619 В Centralized Query Processing..................................................................... 621 C Transaction Processing Fundamentals..................................................... 623 D Review of Computer Networks................................................................... 625 References.............................................................................................................. 627 Index....................................................................................................................... 663
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| spelling | Özsu, M. Tamer 1951- Verfasser (DE-588)1071655159 aut Principles of distributed database systems M. Tamer Özsu ; Patrick Valduriez Fourth Edition Cham, Switzerland Springer 2020 xvii, 674 Seiten Illustrationen, Diagramme, Karten txt rdacontent n rdamedia nc rdacarrier Datenbanksystem (DE-588)4113276-2 gnd rswk-swf Managementinformationssystem (DE-588)4074518-1 gnd rswk-swf Verteiltes System (DE-588)4238872-7 gnd rswk-swf Verteiltes Datenbanksystem (DE-588)4121865-6 gnd rswk-swf Managementinformationssystem (DE-588)4074518-1 s DE-604 Datenbanksystem (DE-588)4113276-2 s Verteiltes System (DE-588)4238872-7 s 1\p DE-604 Verteiltes Datenbanksystem (DE-588)4121865-6 s 2\p DE-604 Valduriez, Patrick Verfasser aut Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031834788&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
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| title | Principles of distributed database systems |
| title_auth | Principles of distributed database systems |
| title_exact_search | Principles of distributed database systems |
| title_full | Principles of distributed database systems M. Tamer Özsu ; Patrick Valduriez |
| title_fullStr | Principles of distributed database systems M. Tamer Özsu ; Patrick Valduriez |
| title_full_unstemmed | Principles of distributed database systems M. Tamer Özsu ; Patrick Valduriez |
| title_short | Principles of distributed database systems |
| title_sort | principles of distributed database systems |
| topic | Datenbanksystem (DE-588)4113276-2 gnd Managementinformationssystem (DE-588)4074518-1 gnd Verteiltes System (DE-588)4238872-7 gnd Verteiltes Datenbanksystem (DE-588)4121865-6 gnd |
| topic_facet | Datenbanksystem Managementinformationssystem Verteiltes System Verteiltes Datenbanksystem |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031834788&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT ozsumtamer principlesofdistributeddatabasesystems AT valduriezpatrick principlesofdistributeddatabasesystems |