Our organization has hundreds of batch jobs that run overnight. Many of these jobs require 2, 3, 4 hours to complete; some even require up to 7 hours. Currently, these jobs run in single-threaded mode
Sorry for cross-posting this on the hadoop user mailing list and here, but this is getting an urgent matter for me.
I set up a hadoop cluster with 4 nodes, When running a map-reduce task, the map task finishes quickly, while the reduce task hangs at 27% percent. I checked the log, it\'s that the reduce task fails t
I\'m working with Hadoop MapReduce. I\'ve got data in HDFS and data in each file is already sorted. Is it possible to force MapReduce not to resort the data after map phase? I\'ve tried to change the
I am using eclipse to write mapreduce program. I imported hadoop library (hadoop-0.13.0-core.jar) I imported Mapper class import org.apache.hadoop.mapred.Mapper;
Is there a way to keep the duplicates in a collected set in Hive, or simulate the sort of aggregate collection that Hive provides using some other method? I want to aggregate all of the items in开发者
I\'m an intermediate Hibernate user. I am trying to get some traction with Hadoop at my company. I\'m using a library called spring-hadoop (https://github.com/SpringSource/spring-hadoop) to configure
How could i combine with map/reduce these two files: File1. Data. 开发者_StackOverflow1name:foo1,position:bar1
I have 6 servers and each contains a lot of logs. I\'d like to put these logs to hadoop fs via rsync. Now I\'m using fuse and rsync writes directly to fuse-mounted fs /mnt/hdfs.
I\'m new to hadoop and is in learning phase. As per Hadoop Definitve guide, i have set up my hadoop in pseudo distributed mode and everything was working fine. I was even able to execute all the examp
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