问一个关于berkeley db的问题贴（DB_SEQUENCE）

chengwei02 2009-06-07 06:57:28

关于AUTO_INCREMENT属性的主键，berkeley db建议使用DB_SEQUENCE，
于是我的问题来了，假如我有若干个表，每个表都有ID（主键），那是否
意味着还要有若干个表用来存储DB_SEQUENCE的数？

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• Table of Contents • Index • Reviews • Reader Reviews • Errata • Academic Python Cookbook, 2nd Edition By David Ascher, Alex Martelli, Anna Ravenscroft Publisher : O'Reilly Pub Date : March 2005 ISBN : 0-596-00797-3 Pages : 844 Copyright Preface The Design of the Book The Implementation of the Book Using the Code from This Book Audience Organization Further Reading Conventions Used in This Book How to Contact Us Safari® Enabled Acknowledgments Chapter 1. Text Introduction Recipe 1.1. Processing a String One Character at a Time Recipe 1.2. Converting Between Characters and Numeric Codes Recipe 1.3. Testing Whether an Object Is String-like Recipe 1.4. Aligning Strings Recipe 1.5. Trimming Space from the Ends of a String Recipe 1.6. Combining Strings Recipe 1.7. Reversing a String by Words or Characters Recipe 1.8. Checking Whether a String Contains a Set of Characters Recipe 1.9. Simplifying Usage of Strings' translate Method Recipe 1.10. Filtering a String for a Set of Characters Recipe 1.11. Checking Whether a String Is Text or Binary Recipe 1.12. Controlling Case Recipe 1.13. Accessing Substrings Recipe 1.14. Changing the Indentation of a Multiline String Recipe 1.15. Expanding and Compressing Tabs Recipe 1.16. Interpolating Variables in a String Recipe 1.17. Interpolating Variables in a Stringin Python 2.4 Recipe 1.18. Replacing Multiple Patterns in a Single Pass Recipe 1.19. Checking a String for Any of Multiple Endings Recipe 1.20. Handling International Text with Unicode Recipe 1.21. Converting Between Unicode and Plain Strings Recipe 1.22. Printing Unicode Charactersto Standard Output

以前和大家分享过SIGMOD2009的论文，朋友们都很感兴趣，现手里有SIGMOD211的全部论文，再次和大家分享~ 一个包放不下，一共分成了3个包，包含百余篇论文，朋友们可以挑选自己感兴趣的部分下载，我尽量把文章目录写得明白一些。这是第一部分。 Session 1: Databases on New Hardware LazyFTL: A Page-Level Flash Translation Layer Optimized for NAND Flash Memory (Page 1) Dongzhe Ma (Tsinghua University) Jianhua Feng (Tsinghua University) Guoliang Li (Tsinghua University) Operation-Aware Buffer Management in Flash-Based Systems (Page 13) Yanfei Lv (Peking University) Bin Cui (Peking University) Bingsheng He (Nanyang Technological University) Xuexuan Chen (Peking University) SkimpyStash: RAM Space Skimpy Key-Value Store on Flash-based Storage (Page 25) Biplob Debnath (EMC Corporation) Sudipta Sengupta (Microsoft Research) Jin Li (Microsoft Research) Design and Evaluation of Main Memory Hash Join Algorithms for Multi-Core CPUs (Page 37) Spyros Blanas (University of Wisconsin-Madison) Yinan Li (University of Wisconsin-Madison) Jignesh M. Patel (University of Wisconsin-Madison) (Return to Top) Session 2: Query Processing and Optimization Query Optimization Techniques for Partitioned Tables (Page 49) Herodotos Herodotou (Duke University) Nedyalko Borisov (Duke University) Shivnath Babu (Duke University) CrowdDB: Answering Queries with Crowdsourcing (Page 61) Michael J. 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Procopiuc (AT&T Labs - Research) Divesh Srivastava (AT&T Labs - Research) Leveraging Query Logs for Schema Mapping Generation in U-MAP (Page 121) Hazem Elmeleegy (AT&T Labs - Research) Ahmed Elmagarmid (Qatar Computing Research Institute, Qatar Foundation) Jaewoo Lee (Purdue University) Designing and Refining Schema Mappings via Data Examples (Page 133) Bogdan Alexe (University of California, Santa Cruz) Balder ten Cate (University of California, Santa Cruz) Phokion G. Kolaitis (University of California, Santa Cruz and IBM Research - Almaden) Wang-Chiew Tan (IBM Research - Almaden and University of California, Santa Cruz) (Return to Top) Session 4: Data on the We Apples and Oranges: A Comparison of RDF Benchmarks and Real RDF Datasets (Page 145) Songyun Duan (IBM Research - T.J. Watson Research Center) Anastasios Kementsietsidis (IBM Research - T.J. Watson Research Center) Kavitha Srinivas (IBM Research - T.J. Watson Research Center) Octavian Udrea (IBM Research - T.J. Watson Research Center) Efficient Query Answering in Probabilistic RDF Graphs (Page 157) Xiang Lian (Hong Kong University of Science and Technology) Lei Chen (Hong Kong University of Science and Technology) Facet Discovery for Structured Web Search: A Query-Log Mining Approach (Page 169) Jeffrey Pound (University of Waterloo) Stelios Paparizos (Microsoft Research) Panayiotis Tsaparas (Microsoft Research) Schema-As-You-Go: On Probabilistic Tagging and Querying of Wide Tables (Page 181) Meiyu Lu (National University of Singapore) Divyakant Agrawal (University of California at Santa Barbara) Bing Tian Dai (National University of Singapore) Anthony K. H. Tung (National University of Singapore) (Return to Top) Session 5: Data Privacy and Security No Free Lunch in Data Privacy (Page 193) Daniel Kifer (Penn State University) Ashwin Machanavajjhala (Yahoo! Research) TrustedDB: A Trusted Hardware Based Database with Privacy and Data Confidentiality (Page 205) Sumeet Bajaj (Stony Brook University) Radu Sion (Stony Brook University) Differentially Private Data Cubes: Optimizing Noise Sources and Consistency (Page 217) Bolin Ding (University of Illinois at Urbana-Champaign) Marianne Winslett (Advanced Digital Sciences Center & University of Illinois at Urbana-Champaign) Jiawei Han (University of Illinois at Urbana-Champaign) Zhenhui Li (University of Illinois at Urbana-Champaign) iReduct: Differential Privacy with Reduced Relative Errors (Page 229) Xiaokui Xiao (Nanyang Technological University) Gabriel Bender (Cornell University) Michael Hay (Cornell University) Johannes Gehrke (Cornell University) (Return to Top) Session 6: Data Consistency and Parallel DB A Latency and Fault-Tolerance Optimizer for Online Parallel Query Plans (Page 241) Prasang Upadhyaya (University of Washington) YongChul Kwon (University of Washington) Magdalena Balazinska (University of Washington) ArrayStore: A Storage Manager for Complex Parallel Array Processing (Page 253) Emad Soroush (University of Washington) Magdalena Balazinska (University of Washington) Daniel Wang (SLAC National Accelerator Laboratory) Fast Checkpoint Recovery Algorithms for Frequently Consistent Applications (Page 265) Tuan Cao (Cornell University) Marcos Vaz Salles (Cornell University) Benjamin Sowell (Cornell University) Yao Yue (Cornell University) Alan Demers (Cornell University) Johannes Gehrke (Cornell University) Walker White (Cornell University) Warding off the Dangers of Data Corruption with Amulet (Page 277) Nedyalko Borisov (Duke University) Shivnath Babu (Duke University) Nagapramod Mandagere (IBM Almaden Research) Sandeep Uttamchandani (IBM Almaden Research) (Return to Top) Session 7: Service Oriented Computing, Data Management in the Cloud Schedule Optimization for Data Processing Flows on the Cloud (Page 289) Herald Kllapi (University of Athens) Eva Sitaridi (University of Athens) Manolis M. Tsangaris (University of Athens) Yannis Ioannidis (University of Athens) Zephyr: Live Migration in Shared Nothing Databases for Elastic Cloud Platforms (Page 301) Aaron J. Elmore (University of California, Santa Barbara) Sudipto Das (University of California, Santa Barbara) Divyakant Agrawal (University of California, Santa Barbara) Amr El Abbadi (University of California, Santa Barbara) Workload-Aware Database Monitoring and Consolidation (Page 313) Carlo Curino (Massachusetts Institute of Technology) Evan P. C. 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Jensen (Aarhus University) Beng Chin Ooi (National University of Singapore) Finding Semantics in Time Series (Page 385) Peng Wang (Fudan University & Microsoft Research Asia) Haixun Wang (Microsoft Research Asia) Wei Wang (Fudan University) Querying Contract Databases Based on Temporal Behavior (Page 397) Elio Damaggio (University of California, San Diego) Alin Deutsch (University of California, San Diego) Dayou Zhou (University of California, San Diego) (Return to Top) Session 9: Shortest Paths and Sequence Data Neighborhood-Privacy Protected Shortest Distance Computing in Cloud (Page 409) Jun Gao (Peking University) Jeffery Xu Yu (Chinese University of Hong Kong) Ruoming Jin (Kent State University) Jiashuai Zhou (Peking University) Tengjiao Wang (Peking University) Dongqing Yang (Peking University) On k-Skip Shortest Paths (Page 421) Yufei Tao (Chinese University of Hong Kong) Cheng Sheng (Chinese University of Hong Kong) Jian Pei (Simon Fraser University) Finding Shortest Path on Land Surface (Page 433) Lian Liu (The Hong Kong University of Science and Technology) Raymond Chi-Wing Wong (The Hong Kong University of Science and Technology) WHAM: A High-Throughput Sequence Alignment Method (Page 445) Yinan Li (University of Wisconsin-Madison) Allison Terrell (University of Wisconsin-Madison) Jignesh M. Patel (University of Wisconsin-Madison) A New Approach for Processing Ranked Subsequence Matching Based on Ranked Union (Page 457) Wook-Shin Han (Kyungpook National University) Jinsoo Lee (Kyungpook National University) Yang-Sae Moon (Kangwon National University) Seung-won Hwang (Pohang University of Science and Technology) Hwanjo Yu (Pohang University of Science and Technology) (Return to Top) Session 10: Data Provenance, Workflow and Cleaning Interaction Between Record Matching and Data Repairing (Page 469) Wenfei Fan (University of Edinburgh & Harbin Institute of Technology) Jianzhong Li (Harbin Institute of Technology) Shuai Ma (Beihang University) Nan Tang (University of Edinburgh) Wenyuan Yu (University of Edinburgh) We Challenge You to Certify Your Updates (Page 481) Su Chen (National University of Singapore) Xin Luna Dong (AT&T Labs-Research) Laks V.S. Lakshmanan (University of British Columbia) Divesh Srivastava (AT&T Labs-Research) Labeling Recursive Workflow Executions On-the-Fly (Page 493) Zhuowei Bao (University of Pennsylvania) Susan B. Davidson (University of Pennsylvania) Tova Milo (Tel Aviv University) Tracing Data Errors with View-Conditioned Causality (Page 505) Alexandra Meliou (University of Washington) Wolfgang Gatterbauer (University of Washington) Suman Nath (Microsoft Research) Dan Suciu (University of Washington) (Return to Top) Session 11: Information Extraction Hybrid In-Database Inference for Declarative Information Extraction (Page 517) Daisy Zhe Wang (University of California, Berkeley) Michael J. Franklin (University of California, Berkeley) Minos Garofalakis (Technical University of Crete) Joseph M. Hellerstein (University of California, Berkeley) Michael L. Wick (University of Massachusetts, Amherst) Faerie: Efficient Filtering Algorithms for Approximate Dictionary-Based Entity Extraction (Page 529) Guoliang Li (Tsinghua University) Dong Deng (Tsinghua University) Jianhua Feng (Tsinghua University) Joint Unsupervised Structure Discovery and Information Extraction (Page 541) Eli Cortez (Universidade Federal do Amazonas) Daniel Oliveira (Universidade Federal do Amazonas) Altigran S. da Silva (Universidade Federal do Amazonas) Edleno S. de Moura (Universidade Federal do Amazonas) Alberto H. F. Laender (Universidade Federal de Minas Gerais) Attribute Domain Discovery for Hidden Web Databases (Page 553) Xin Jin (George Washington University) Nan Zhang (George Washington University) Gautam Das (University of Texas at Arlington) (Return to Top) Session 12: Keyword Search and Ranked Queries Keyword Search Over Relational Databases: A Metadata Approach (Page 565) Sonia Bergamaschi (University of Modena and Reggio Emilia, Italy) Elton Domnori (University of Modena and Reggio Emilia, Italy) Francesco Guerra (University of Modena and Reggio Emilia, Italy) Raquel Trillo Lado (University of Zaragoza) Yannis Velegrakis (University of Trento) Sharing Work in Keyword Search Over Databases (Page 577) Marie Jacob (University of Pennsylvania) Zachary Ives (University of Pennsylvania)

BerkeleyDB环境API 概述：
berkeleydb的环境就是对一个或几个数据库的封装，包括log file和region file。region file就是包含了内存池cache页信息的共享内存区。可移植性：由于只有数据库文件是字序独立的(byte-order independent),所以只有它可以在不同字节序的机器间互相移植。log file则只能在字序一致的机器间移植。而region file甚至只能在相同的机器间移植，还对操作系统的版本都有要求。

序BerkeleyDB在爬虫、搜索领域里头用的比较多，整体来讲的特点是嵌入式、kv数据库，功能强大，能支持几百T的存储。本文主要讲述怎么在java里头使用它。添加依赖com.sleepycatje6.4.9如果是5以上的版本，则需要添加oracle的仓库oracleReleasesOracle Released Java Packageshttp://download.oracle.com/mav...

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