Are you closing the scanners when you're done? If not, those might be
hanging around for a long time. I don't think we've built in the
proper timeout logic to make that work by itself.
-Bryan
On Dec 21, 2007, at 5:10 PM, Billy wrote:
I was thanking the same thing and been running REST outside of the
Master on
each server for about 5 hours now and used the master as a backup
if local
rest interface failed. You are right I seen a little faster
processing time
from doing this vs. using just the master.
Seams the problem is not with the master its self looks like REST
is using
up more and more memory not sure but I thank its to do with inserts
maybe
not but the memory usage is going up I an doing a scanner 2 threads
reading
rows and processing the data and inserting it in to a separate table
building a inverted index.
I will restart everything when this job is done and try to do just
inserts
and see if its the scanner or inserts.
The master is holding at about 75mb and the rest interfaces are up
to 400MB
and slowly going up on the ones running the jobs.
I am still testing I will see what else I can come up with.
Billy
"stack" <[EMAIL PROTECTED]> wrote in message
news:[EMAIL PROTECTED]
Hey Billy:
Master itself should use little memory and though it is not out of
the
realm of possibiliites, it should not have a leak.
Are you running with the default heap size? You might want to
give it
more memory if you are (See
http://wiki.apache.org/lucene-hadoop/Hbase/FAQ#3 for how).
If you are uploading all via the REST server running on the
master, the
problem as you speculate, could be in the REST servlet itself
(though it
looks like it shouldn't be holding on to anything having given it a
cursory glance). You could try running the REST server
independent of the
master. Grep for 'Starting the REST Server' in this page,
http://wiki.apache.org/lucene-hadoop/Hbase/HbaseRest, for how (If
you are
only running one REST instance, your upload might go faster if you
run
multiple).
St.Ack
Billy wrote:
I forgot to say that once restart the master only uses about 70mb of
memory
Billy
"Billy" <[EMAIL PROTECTED]> wrote
in message news:[EMAIL PROTECTED]
I not sure of this but why does the master server use up so much
memory.
I been running an script that been inserting data into a table
for a
little over 24 hours and the master crashed because of
java.lang.OutOfMemoryError: Java heap space.
So my question is why does the master use up so much memory at
most it
should store the -ROOT-,.META. tables in memory and block to table
mapping.
Is it cache or a memory leak?
I am using the rest interface so could that be the reason?
I inserted according to the high edit ids on all the region servers
about
51,932,760 edits and the master ran out of memory with a heap of
about
1GB.
The other side to this is the data I inserted is only taking up
886.61
MB and that's with
dfs.replication set to 2 so half that is only 440MB of data
compressed
at the block level.
From what I understand the master should have lower memory and
cpu usage
and the namenode on hadoop should be the memory hog it has to
keep up
with all the data about the blocks.
