Mar 3, 2014 · Then, the MapReduce job stops at the map phase, and the map phase does not include any kind of sorting (so even the map phase is faster). Tom White has been an Apache …

5 Difference between block size and input split size. Input Split is logical split of your data, basically used during data processing in MapReduce program or other processing techniques. …

Aug 26, 2013 · In mapreduce you specify an output folder, the only thing it will contain will be part-r files (which is the output of a reduce task) and a _SUCCESS file (which is empty).

Mar 23, 2010 · In many real-life situations where you apply MapReduce, the final algorithms end up being several MapReduce steps. i.e. Map1 , Reduce1 , Map2 , Reduce2 , and so on. So …

Dec 10, 2015 · By default mapreduce picks only one reducer which will be the issue for most of the scenarios. Either you can change the code by setting number of reducers to a higher value …

Sep 25, 2013 · If you are using Hadoop Streaming, you can use the JobConf variables in a streaming job's mapper/reducer. As for the input file name of mapper, see the Configured …

Nov 7, 2013 · I'm running a parsing job in hadoop, the source is a 11GB map file with about 900,000 binary records each representing an HTML file, the map extract links and write them …

But using a global counter therefor seems to be a misuse. The API describes org.apache.hadoop.mapreduce.Counter as follows: A named counter that tracks the progress …

Sep 3, 2013 · What are the disadvantages of mapreduce? There are lots of advantages of mapreduce. But I would like to know the disadvantages of mapreduce too.

Dec 26, 2015 · I tried to run simple word count as MapReduce job. Everything works fine when run locally (all work done on Name Node). But, when I try to run it on a cluster using YARN …