您的位置：首页 > 运维架构

[大牛翻译系列]Hadoop 翻译文章索引

2014-03-17 09:53 344 查看
原书章节原书章节题目翻译文章序号翻译文章题目链接
4.1JoiningHadoop（1）MapReduce 连接：重分区连接（Repartition join）/article/5698879.html
4.1.1Repartition joinHadoop（1）MapReduce 连接：重分区连接（Repartition join）/article/5698879.html
4.1.2Replicated joinsHadoop（2）MapReduce 连接：复制连接（Replication join）/article/5698880.html
4.1.3Semi-joinsHadoop（3）MapReduce 连接：半连接（Semi-join）/article/5698881.html
4.1.4Picking the best join strategy for your dataHadoop（4）MapReduce 连接：选择最佳连接策略/article/5698882.html
4.2SortingHadoop（5）MapReduce 排序：次排序（Secondary sort）/article/5698883.html
4.2.1Secondary sortHadoop（5）MapReduce 排序：次排序（Secondary sort）/article/5698883.html
4.2.2Total order sortingHadoop（6）MapReduce 排序：总排序（Total order sorting）/article/5698884.html
4.3SamplingHadoop（7）MapReduce：抽样（Sampling）/article/5698885.html
6.1Measuring MapReduce and your environmentHadoop（8）MapReduce 性能调优：性能测量（Measuring）/article/5698886.html
6.2Determining the cause of your performance woesHadoop（9）MapReduce 性能调优：理解性能瓶颈，诊断map性能瓶颈/article/5698887.html
6.2.1Understanding what can impact MapReduce job performanceHadoop（9）MapReduce 性能调优：理解性能瓶颈，诊断map性能瓶颈/article/5698887.html
6.2.2Map woesHadoop（9）MapReduce 性能调优：理解性能瓶颈，诊断map性能瓶颈/article/5698887.html
6.2.3Reducer woesHadoop（10）MapReduce 性能调优：诊断reduce性能瓶颈/article/5698888.html
6.2.4General task woesHadoop（11）MapReduce 性能调优：诊断一般性能瓶颈/article/5698889.html
6.2.5Hardware woesHadoop（12）MapReduce 性能调优：诊断硬件性能瓶颈/article/5698890.html
6.4.3Optimizing the shuffle and sort phaseHadoop（13）MapReduce 性能调优：优化洗牌（shuffle）和排序阶段/article/5698891.html
6.4.4Skew mitigationHadoop（14）MapReduce 性能调优：减小数据倾斜的性能损失/article/5698892.html
6.4.5Optimizing user space Java in MapReduceHadoop（15）MapReduce 性能调优：优化MapReduce的用户JAVA代码/article/5698894.html
6.4.6Data serializationHadoop（16）MapReduce 性能调优：优化数据序列化/article/5698895.html
6.5Chapter summaryHadoop（16）MapReduce 性能调优：优化数据序列化/article/5698895.html
5.1Working with small filesHadoop（17）MapReduce 文件处理：小文件/article/5698896.html
5.2Efficient storage with compression(tech 25, 26)Hadoop（19）MapReduce 文件处理：基于压缩的高效存储（一）http://www.cnblogs.com/datacloud/p/3612817.html
5.2Efficient storage with compression(tech 27)Hadoop（19）MapReduce 文件处理：基于压缩的高效存储（一） /article/5698898.html
Appendix A.10LZOPHadoop（20）附录A.10 压缩格式LZOP编译安装配置/article/5698899.html
Appendix D.1An optimized repartition join frameworkHadoop（21）附录D.1 优化后的重分区框架/article/5698900.html
Appendix D.2A replicated join frameworkHadoop（22）附录D.2 复制连接框架 /article/5698901.html
内容来自用户分享和网络整理，不保证内容的准确性，如有侵权内容，可联系管理员处理 点击这里给我发消息
标签： 
相关文章推荐
新的分享
章节导航