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Spring Data:企業(yè)級Java的現(xiàn)代數(shù)據(jù)訪問技術(shù) 版權(quán)信息
- ISBN:9787564142001
- 條形碼:9787564142001 ; 978-7-5641-4200-1
- 裝幀:一般膠版紙
- 冊數(shù):暫無
- 重量:暫無
- 所屬分類:>
Spring Data:企業(yè)級Java的現(xiàn)代數(shù)據(jù)訪問技術(shù) 本書特色
在使用關(guān)系型數(shù)據(jù)庫搭建java企業(yè)應(yīng)用時(shí),你可以選擇多種數(shù)據(jù)訪問框架。但是在處理大數(shù)據(jù)的時(shí)候呢?波拉克編著的《spring data(企業(yè)級java的現(xiàn)代數(shù)據(jù)訪問技術(shù)影印版)》這本包含豐富實(shí)踐的指南將為你展示spring data如何使得搭建基于諸如nosql 和hadoop這樣一些新型數(shù)據(jù)訪問技術(shù)的應(yīng)用變得更加簡單。 《spring data(企業(yè)級java的現(xiàn)代數(shù)據(jù)訪問技術(shù)影印版)》通過多個(gè)示例項(xiàng)目,你將了解到spring data如何提供了一個(gè)兼容 nosql特有特性和功能的編程模型,以及它如何幫助你開發(fā)基于諸如數(shù)據(jù)分析、事件流處理和工作流之類用例的 hadoop應(yīng)用。你也將找到那些spring data添加到spring現(xiàn)有jpa和 jdbc中的特性,它們用來實(shí)現(xiàn)基于rdbms的數(shù)據(jù)訪問層。
Spring Data:企業(yè)級Java的現(xiàn)代數(shù)據(jù)訪問技術(shù) 內(nèi)容簡介
閱讀波拉克編著的《spring data(企業(yè)級java的現(xiàn)代數(shù)據(jù)訪問技術(shù)影印版)》,你將對如下內(nèi)容有深刻的理解:為什么現(xiàn)代的數(shù)據(jù)訪問變得越來越專業(yè)化和分門別類,nosql數(shù)據(jù)存儲的主要分類,spring data如何幫助java開發(fā)人員在當(dāng)前新環(huán)境下有效地開發(fā)。 通過使用spring batch和spring data,我們將能夠徹底地簡化和減少與hadoop交互時(shí)的復(fù)雜性,同時(shí)還能提供可靠性。
Spring Data:企業(yè)級Java的現(xiàn)代數(shù)據(jù)訪問技術(shù) 目錄
forewordprefacepart i. background 1. the spring data project nosql data access for spring developers general themes the domain the sample code importing the source code into your ide 2. repositories: convenient data access layers quick start defining query methods query lookup strategies query derivation pagination and sorting defining repositories fine-tuning repository interfaces manually implementing repository methods ide integration intellij idea 3. type-safe querying using querydsl introduction to querydsl generating the query metamodel build system integration supported annotation processors querying stores using querydsl integration with spring data repositories executing predicates manually implementing repositoriespart ii. relational databases 4. jpa repositories the sample project the traditional approach bootstrapping the sample code using spring data repositories transactionality repository querydsl integration s. type-safejdbc programming with querydsl sql the sample project and setup the hypersql database the sql module of querydsl build system integration the database schema the domain implementation of the sample project the querydsljdbctemplate executing queries the beginning of the repository implementation querying for a single object the onetomanyresultsetextractor abstract class the customerlistextractor implementation the implementations for the rowmappers querying for a list of objects insert, update, and delete operations inserting with the sqlinsertclause updating with the sqlupdateclause deleting rows with the sqldeleteclausepart iii. nosql 6. mongodb:a document store mongodb in a nutshell setting up mongodb using the mongodb shell the mongodb java driver setting up the infrastructure using the spring namespace the mapping subsystem the domain model setting up the mapping infrastructure indexing customizing conversion mongotemplate mongo repositories infrastructure setup repositories in detail mongo querydsl integration 7. neo4j: a graph database graph databases neo4j spring data neo4j overview modeling the domain as a graph persisting domain objects with spring data neo4j neo4jtemplate combining graph and repository power basic graph repository operations derived and annotated finder methods advanced graph use cases in the example domain multiple roles for a single node product categories and tags as examples for in-graph indexes leverage similar interests (collaborative filtering) recommendations transactions, entity life cycle, and fetch strategies advanced mapping mode working with neo4j server continuing from here 8. redis: a key/value store redis in a nutshell setting up redis using the redis shell connecting to redis object conversion object mapping atomic counters pub/sub functionality listening and responding to messages using spring's cache abstraction with redispartly. rapid application development 9. persistence layers with spring roo a brief introduction to roo roo's persistence layers quick start using roo from the command line using roo with spring tool suite a spring roo jpa repository example creating the project setting up jpa persistence creating the entities defining the repositories creating the web layer running the example a spring roo mongodb repository example creating the project setting up mongodb persistence creating the entities defining the repositories creating the web layer running the example 10. rest repository exporter the sample project interacting with the rest exporter accessing products accessing customers accessing orderspart v. big data 11. spring forapache hadoop challenges developing with hadoop hello world hello world revealed hello world using spring for apache hadoop scripting hdfs on the jvm combining hdfs scripting and job submission job scheduling scheduling mapreduce jobs with a taskscheduler scheduling mapreduce jobs with quartz 12. analyzing datawith hadoop using hive hello world running a hive server using the hive thrift client using the hive jdbc client apache logfile analysis using hive using pig hello world running a pigserver controlling runtime script execution calling pig scripts inside spring integration data pipelines apache logfile analysis using pig using hbase hello world using the hbase java client 13. creating big data pipelines with spring batch and springintegration collecting and loading data into hdfs an introduction to spring integration copying logfiles event streams event forwarding management an introduction to spring batch processing and loading data from a database hadoop workflows spring batch support for hadoop wordcount as a spring batch application hive and pig steps exporting data from hdfs from hdfs to jdbc from hdfs to mongodb collecting and loading data into splunkpart vi. data grids 14. gemfire: a distributed data grid gemfire in a nutshell caches and regions how to get gemfire configuring gemfire with the spring xml namespace cache configuration region configuration cache client configuration cache server configuration wan configuration disk store configuration data access with gemfiretemplate repository usage pojo mapping creating a repository pdx serialization continuous query supportbibliographyindex
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