This is my first time using map/reduce. I want to write a program that processes a large log file. For example, if I was processing a log file that had records consisting of {Student, College, and GPA
I\'m currently processing about 300 GB of log files on a 10 servers hadoop cluster. My data is being saved in folders named YYMMDD so each day can be accessed quickly.
To create MapReduce jobs you can either use the old org.apache.hadoop.mapred package or the newer org.apache.hadoop.mapreduce package for Mappers and Reducers, Jobs ... The first one had been ma开发者
So I\'m trying to install hadoop on MAC OS X Leopard following the steps in this note: Running Hadoop on a OS X Single Node Cluster.
I\'ve created a Elastic MapReduce job, and I\'m trying to optimize its performance. At this moment I\'m trying to increase the number of mappers per instance. I am 开发者_运维问答doing this via mapre
As part of my Java mapper I have a command executes some code on the local node and copies a local output file to the hadoop fs.Unfortunately I\'m getting the following output:
Before, you could set max failures percent by using: JobConf.setMaxMapTaskFailuresPercent(int) but now, that\'s obsolete.
When load data from HDFS to Hive, using开发者_如何学编程 LOAD DATA INPATH \'hdfs_file\' INTO TABLE tablename;
What possibly can i do with Hadoop and Nutch used as a search engine ? I know that nutch is used to build a web crawler . But i\'m not finding the perfect picture . Can i use mapreduce with nutch and
I couldn\'t find an answer to my issue while sifting through some Hadoop guides: I am committing various Hadoop jobs (up to 200) in one go via a shell script on a client computer. Each job is started
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