Hi,
After I run start-dfs.sh, I dont get a datanode daemon. And in the log file
it generates this exception:
java.io.IOException: Failed on local exception: java.io.EOFException; Host
Details : local host is: DELL1/127.0.1.1; destination host is:
localhost:9000;
This is my /etc/hosts file:
In general, it is very open question and there are many possibilities
depending on your workload (e.g. CPU-bound, IO-bound etc).
If it is your first Hadoop cluster, and you do not know too much about what
types of jobs you will be running, I would recommend just to collect any
available machines
Since snappy is non-splittable file (so that to decompress snappy file, you
need to read it from the beginning to the end), does the *append* operation
handle it well on a plain text file? I guess, that it might be problematic.
Snappy is recommended to use with a container format, like Sequence
I stared with Hadoop few days ago, I do have few doubts on the setup,
1. For name node I do format the name directory, is it recommended to do
the same for the data node directories too.
2. How does log aggregation work?
3. Does resource manager run on every node (both Name
what makes difference in H/W selection, when we choosed yarn to
install, and is necessary ?
On 12/14/13, Adam Kawa kawa.a...@gmail.com wrote:
In general, it is very open question and there are many possibilities
depending on your workload (e.g. CPU-bound, IO-bound etc).
If it is your first
Hi,
JT memory reaches 6.68/8.89 GB and not able to submit the job and UI is not
loading at all. But didn't see any JT OOM exceptions.
Have taken the thread dump of Jobtracker, and the JT thread dump as follows:
Deadlock Detection:
Can't print deadlocks:null
Thread 25817: (state = BLOCKED)
If you search under hadoop-hdfs-project/hadoop-hdfs/src/test, you would see
a lot of tests which use MiniDFSCluster
e.g.
cluster = new MiniDFSCluster.Builder(conf).numDataNodes(3).build();
hadoop-hdfs-project/hadoop-hdfs/src/test//java/org/apache/hadoop/hdfs/TestWriteRead.java
Cheers
On
Again, hardware may depend what types of frameworks and applications, you
aim to run on the YARN cluster. If you mostly run MapReduce jobs, then
there should not be any significant difference. In our case, we simply
migrated our cluster from MRv1 to YARN on the same hardware.
Installing YARN is
Hi, all
I’m modifying FSDataInputStream for some project,
I would like to directly manipulate “in object in my implementation
as in the constructor a DFSInputStream is passed, so I convert “in” from
InputStream to DFSInputStream with
import org.apache.hadoop.hdfs.DFSClient;
Running the test from Maven through commandline works fine. But I am using
eclipse. And it generates problem if I try to run the test as Junit, as if
eclipse is not aware of any of the conf parameters or args. Can someone
point to me a detailed source where it explains how to run Junit through
Solved by declare an empty somemethod() in FSInputStream and override it in
DFSInputStream
--
Nan Zhu
School of Computer Science,
McGill University
On Saturday, December 14, 2013 at 7:53 PM, Nan Zhu wrote:
Hi, all
I’m modifying FSDataInputStream for some project,
I would
You can use the following command to generate .project files for Eclipse
(at the root of your workspace):
mvn clean package -DskipTests eclipse:eclipse
When you import hadoop, call sub-projects would be imported.
I was able to run TestWriteRead in Eclipse successfully.
Cheers
On Sat, Dec 14,
What do you have in your masters and slaves files?
Chris
On 12/14/2013 5:05 AM, Karim Awara wrote:
Hi,
After I run start-dfs.sh, I dont get a datanode daemon. And in the log
file it generates this exception:
java.io.IOException: Failed on local exception: java.io.EOFException;
Host Details
Hello,
I have set up a two-node Hadoop cluster on Ubuntu 12.04 running streaming jobs
with Hadoop 2.2.0. I am having problems with running tasks on a NM which is on
a different host than the RM, and I believe that this is happening because the
NM host's dfs.client.local.interfaces property
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