Hi, I read about this Reducer Lazy initialization in a document found in the below URL.
http://www.scribd.com/doc/23046928/Hadoop-Performance-Tuning It says “:In M/R job Reducers are initialized with Mappers at the job initialization, but the reduce method is called in reduce phase when all the maps had been finished. So in large jobs where Reducer loads data (>100 MB for business logic) in-memory on initialization, the performance can be increased by lazily initializing Reducers i.e. loading data in reduce method controlled by an initialize flag variable which assures that it is loaded only once. By lazily initializing Reducers which require memory (for business logic) on initialization, number of maps can be increased.” But I did not find any other resource which talks about Reducer Lazy initialization. Does anyone have experience on this ? If yes, how and where can I set this parameter to get it working. Thanks for the support. Regards Syed Wasti
