Hello, I'm running a 90 node c1.xlarge cluster. No reducers, mapred.max.map.tasks=6 per machine. The AMI is own and uses Hadoop 0.19.1 The dataset has 145K keys, and the processing time is huge.
Now, when set the mapred.map.tasks=14,000 what ends up running is 49 map tasks, across the machines. No machine is running more than 3 tasks most are running 1, some are running 0. Looking at the map records read, it appears these 49 tasks correspond to the 145k records. Q) Why? Why isn't the running tasks a much higher number? If each machine can run 6, then why not make this a higher number and run across the machines? This is under utilization So I set the mapred.map.tasks=90. At the hadoop machine list, all 90 machines are at least 1 task , mostly 1, some 2 and a small few 3+(max 4) At the job tracker page, only 23 are running, 48 pending (when i sent this email). With 90 machines(and Map Task Capacity of 540), why aren't 90 running at one go? What should be set? What isn't set? Regards Saptarshi Guha
