Hi all,
Have a good day!
I used these below code to append file in HDFS from a local file.
The local file size is 85MB.
The Hadoop cluster (CDH 5.4.2, hdfs 2.6, replica number is 3) has 140GB
free.
I have a while loop, in there I do
FSDataOutputStream out = fs.append(outFile);
If you want to get the summary from a cluster, I'm thinking you can use
-fs option to specify the NameNode of the cluster. The command will be
hdfs dfsadmin -fs hdfs://nn1:port -report.
dfsadmin -report does not support reporting the summary of all the
cluster mounted on a viewfs.
Regards,
The MultiThreadedMapper won't solve your problem, as all it does is run
parallel maps within the same map task JVM as a non-MT one. Your data
structure won't be shared across the different map task JVMs on the host,
but just within the map tasks's own multiple threads running the map()
function
who is this?
On Sun, Aug 23, 2015 at 8:54 PM, Todd bit1...@163.com wrote:
Hi, our hadoop cluster is using HDFS Federation, but when use the
following command to report the HDFS status
It gives me the following message that viewfs is NOT HDFS filesystem
Then how can I proceed to report the
Perhaps combining MultiThreaded mapper along with a CombineFileInputFormat
may help (it reduces total # of maps, but you get more threads per map
task).
On Mon, Aug 24, 2015 at 2:16 PM twinkle sachdeva twinkle.sachd...@gmail.com
wrote:
Hi,
We have been using the jvm reuse feature for the same
Hi,
We have been using the jvm reuse feature for the same reason of sharing the
same structure across multiple Map Tasks. Multithreaded Map task does that
partially, as within the multiple threads, same copy is used.
Depending upon the hardware availability, one can get the same performance.
Hi there,
I faced some weird issue and I think there is no need to give many details
other than the actual issue.
When I add the user yarn to another group, I could see from within the same
shell where I added him that yarn belongs to the new group . But after
restarting the node manager
Hi,
I am running a Terasort benchmark (10 GB, 25 reducers, 50 mappers) that
comes with Hadoop 2.7.1. I am experiencing an unexpected behavior with
Yarn, which I am hoping someone can shed some light on:
I have a cluster of three machines with 2 cores and 3.75 GB of RAM (per
machine), when I run
