Dear all,
I'm looking for ways to improve the namenode heap size usage of a
800-node 10PB testing Hadoop cluster that stores around 30 million files.
Here's some info:
1 x namenode: 32GB RAM, 24GB heap size
800 x datanode: 8GB RAM, 13TB hdd
33050825 files and directories, 47708724 blocks = 80759549 total. Heap
Size is 22.93 GB / 22.93 GB (100%)
From the cluster summary report, it seems the heap size usage is always
full but couldn't drop, do you guys know of any ways to reduce it ? So
far I don't see any namenode OOM errors so it looks memory assigned for
the namenode process is (just) enough. But i'm curious which factors
would account for the full use of heap size ?
Regards,
On
