[Daniel Translation Series] Hadoop Translation Article index

Transferred from:http://www.cnblogs.com/datacloud/p/3604492.html

Original book chapters	Chapter title of the original book	Translate article serial number	Translating the article title	Link
4.1	Joining	Hadoop (1)	MapReduce Connection: Re-partitioned connection (repartition join)	Http://www.cnblogs.com/datacloud/p/3578509.html
4.1.1	Repartition Join	Hadoop (1)	MapReduce Connection: Re-partitioned connection (repartition join)	Http://www.cnblogs.com/datacloud/p/3578509.html
4.1.2	Replicated joins	Hadoop (2)	MapReduce Connection: Replication connection (Replication join)	Http://www.cnblogs.com/datacloud/p/3579333.html
4.1.3	Semi-joins	Hadoop (3)	MapReduce connection: Half connection (Semi-join)	Http://www.cnblogs.com/datacloud/p/3579975.html
4.1.4	Picking the best join strategy for your data	Hadoop (4)	MapReduce connections: Choosing the Best Connection Strategy	Http://www.cnblogs.com/datacloud/p/3582113.html
4.2	Sorting	Hadoop (5)	MapReduce Sort: Order (secondary sort)	Http://www.cnblogs.com/datacloud/p/3584640.html
4.2.1	Secondary sort	Hadoop (5)	MapReduce Sort: Order (secondary sort)	Http://www.cnblogs.com/datacloud/p/3584640.html
4.2.2	Total order Sorting	Hadoop (6)	MapReduce Sort: Total order (sorting)	Http://www.cnblogs.com/datacloud/p/3586761.html
4.3	Sampling	Hadoop (7)	MapReduce: Sampling (sampling)	Http://www.cnblogs.com/datacloud/p/3588120.html
6.1	Measuring MapReduce and your environment	Hadoop (8)	MapReduce Performance Tuning: Performance measurement (measuring)	Http://www.cnblogs.com/datacloud/p/3589875.html
6.2	Determining the cause of your performance woes	Hadoop (9)	MapReduce Performance Tuning: Understanding performance Bottlenecks and diagnosing map performance bottlenecks	Http://www.cnblogs.com/datacloud/p/3591981.html
6.2.1	Understanding what can impact MapReduce job performance	Hadoop (9)	MapReduce Performance Tuning: Understanding performance Bottlenecks and diagnosing map performance bottlenecks	Http://www.cnblogs.com/datacloud/p/3591981.html
6.2.2	MAP woes	Hadoop (9)	MapReduce Performance Tuning: Understanding performance Bottlenecks and diagnosing map performance bottlenecks	Http://www.cnblogs.com/datacloud/p/3591981.html
6.2.3	Reducer woes	Hadoop (10)	MapReduce Performance Tuning: Diagnosing reduce performance bottlenecks	Http://www.cnblogs.com/datacloud/p/3595682.html
6.2.4	General task woes	Hadoop (11)	MapReduce Performance Tuning: Diagnosing a general bottleneck	Http://www.cnblogs.com/datacloud/p/3596294.html
6.2.5	Hardware woes	Hadoop (12)	MapReduce Performance Tuning: Diagnosing hardware performance bottlenecks	Http://www.cnblogs.com/datacloud/p/3597909.html
6.4.3	Optimizing the shuffle and sort phase	Hadoop (13)	MapReduce Performance Tuning: Optimizing Shuffle (shuffle) and sequencing stages	Http://www.cnblogs.com/datacloud/p/3599920.html
6.4.4	Skew Mitigation	Hadoop (14)	MapReduce Performance Tuning: Reducing the performance penalty for data skew	Http://www.cnblogs.com/datacloud/p/3601624.html
6.4.5	Optimizing User space Java in MapReduce	Hadoop (15)	MapReduce Performance Tuning: Optimizing user Java code for MapReduce	Http://www.cnblogs.com/datacloud/p/3603191.html
6.4.6	Data serialization	Hadoop (16)	MapReduce Performance Tuning: Optimizing Data serialization	Http://www.cnblogs.com/datacloud/p/3608591.html
6.5	Chapter Summary	Hadoop (16)	MapReduce Performance Tuning: Optimizing Data serialization	Http://www.cnblogs.com/datacloud/p/3608591.html
5.1	Working with small files	Hadoop (17)	MapReduce file processing: Small files	Http://www.cnblogs.com/datacloud/p/3611459.html
5.2	Efficient storage with compression (tech 25, 26)	Hadoop (19)	MapReduce file Processing: compression-based efficient storage (i)	Http://www.cnblogs.com/datacloud/p/3612817.html
5.2	Efficient storage with compression (Tech 27)	Hadoop (19)	MapReduce file Processing: compression-based efficient storage (i)	Http://www.cnblogs.com/datacloud/p/3616544.html
Appendix A.10	LZOP	Hadoop (20)	Appendix A.10 compression format LZOP compiling installation configuration	Http://www.cnblogs.com/datacloud/p/3617586.html
Appendix D.1	An optimized repartition join framework	Hadoop (21)	Appendix D.1 optimized re-partitioning framework	Http://www.cnblogs.com/datacloud/p/3617079.html
Appendix D.2	A replicated Join Framework	Hadoop (22)	Appendix D.2 Replication Connection Framework	Http://www.cnblogs.com/datacloud/p/3617078.html

[Daniel Translation Series] Hadoop Translation Article index