Hi,   I am upgrading our cluster from CDH3 to 4. As part of this project I created a parallel cluster thats now running CDH4, and now I am importing the Hbase data that I exported and copied on to the new cluster.   I am using the bulk load tool to import the data into the tables. Here is how its been done -   1. Exported Hbase tables on CDH3 2. Did distcp to the new cluster 3. Created tables with pre-split regions 4. Importing data using the bulk load tool. Here is the command thats being used -   hbase org.apache.hadoop.hbase.mapreduce.Import -Dimport.bulk.output=/backup/TABLE_NAME TABLE_NAME /import/TABLE_NAME   The mapping phase of this process goes pretty fast, but reducer takes forever to finish. I did pre-splitting of the regions to increase the number of reducers, but the load still spends a lot of time on the last reducer.   Is there anyway that I can improve the speed by letting all the reducers finish close to the sametime.   To give the context, a 1.3 TB table has spent 45 min to finish Map phase, and another 1:15 to finish all but one reducer. Now the last reducer still running after nearly 4 hours and only 33% completed. I have more tables to import and they are much larger. Any help would be greatly appreciated.   Please let me know if you need more information.   Thank you all in advance, Venkat ... View more