Hi, I don't have problems on maptasks. I've problems by reducetasks. If I start my job the maptasks are very fast, but the reduce jobs are very very very slow. Reduce jobs are importing my datas.
Here are what am I see on my Web Interface: Region Servers Address Start Code Load slave1.local:60030 1298907779615 requests=0, regions=16, usedHeap=240, maxHeap=8183 slave2.local:60030 1298907780330 requests=0, regions=16, usedHeap=307, maxHeap=8183 slave3.local:60030 1298907778882 requests=0, regions=15, usedHeap=246, maxHeap=8183 slave4.local:60030 1298907780059 requests=0, regions=16, usedHeap=413, maxHeap=8183 Total: servers: 4 requests=0, regions=63 On Mon, Feb 28, 2011 at 6:00 AM, Cavus,M.,Fa. Post Direkt <M.Cavus@...> wrote: > I've a simple job. It imports 2 GB of data in 4 minutes to hbase with > hadoop and not cluster. > > If I configure full distributed mode, it imports 2 GB of data in 40 > minutes to my 4 clusters. > So, running a mapreduce job when all is in standalone mode runs in 4 minutes but distributed its 40 minutes? That sounds a bit odd. Can you tell what is going on for 40 minutes? How many maptasks? How many hbase regions? Is it actually doing anything during this time? St.Ack
