I didn't find documentation about these settings ; is it recommended to set
it greater than the default value ("1") on modern servers ? Or is it an
internal behavior we should not tune by ourselves?On Tue, Jan 15, 2013 at 2:33 AM, Bing Jiang <[email protected]>wrote: > Hi, mohandes.zebeleh > you can adjust parameter as below( Major Compaction, Minor Compaction, > Split): > if you do not set, it will retain default value(1). > > <property> > <name>hbase.regionserver.thread.compaction.large</name> > <value>5</value> > </property> > <property> > <name>hbase.regionserver.thread.compaction.small</name> > <value>10</value> > </property> > <property> > <name>hbase.regionserver.thread.split</name> > <value>5</value> > </property> > > Regards! > > Bing > > 2013/1/14 Farrokh Shahriari <[email protected]> > > > Bing Jiang, What do you mean by add compaction thread number ? Because, > in > > Hbase-site.xml we have compactionqueuesize or compactionthreshold but not > > the parameter that you have said. > > > > Thanks you if you guide me. > > > > On Sun, Jan 13, 2013 at 7:00 PM, Ted Yu <[email protected]> wrote: > > > > > Both HFileOutputFormat and LoadIncrementalHFiles are in mapreduce > > package. > > > > > > Cheers > > > > > > On Sun, Jan 13, 2013 at 1:31 AM, Bing Jiang <[email protected] > > > >wrote: > > > > > > > hi,anoop. > > > > Why not hbase mapreduce package contains the tools like this? > > > > > > > > Anoop John <[email protected]>编写： > > > > > > > > >Hi > > > > > Can you think of using HFileOutputFormat ? Here you > use > > > > >TableOutputFormat now. There will be put calls to HTable. Instead in > > > > >HFileOutput format the MR will write the HFiles directly.[No > flushes , > > > > >compactions] Later using LoadIncrementalHFiles need to load the > HFiles > > > to > > > > >the regions. May help you.. > > > > > > > > > >-Anoop- > > > > > > > > > >On Sun, Jan 13, 2013 at 10:59 AM, Farrokh Shahriari < > > > > >[email protected]> wrote: > > > > > > > > > >> Thank you guys,let me change these configuration & test mapreduce > > > again. > > > > >> > > > > >> On Tue, Jan 8, 2013 at 10:31 PM, Asaf Mesika < > [email protected] > > > > > > > >> wrote: > > > > >> > > > > >> > Start by testing HDFS throughput by doing s simple copyFromLocal > > > using > > > > >> > Hadoop command line shell (bin/hadoop fs -copyFromLocal > > > pathTo8GBFile > > > > >> > /tmp/dummyFile1). If you have 1000Mbit/sec network between the > > > > computers, > > > > >> > you should get around 75 MB/sec. > > > > >> > > > > > >> > On Tuesday, January 8, 2013, Bing Jiang wrote: > > > > >> > > > > > >> > > In our experience, it can enhance mapreduce insert by > > > > >> > > 1.add regionserver flush thread number > > > > >> > > 2.add memstore/jvm_heap > > > > >> > > 3.pre split table region before mapreduce > > > > >> > > 4.add large and small compaction thread number. > > > > >> > > > > > > >> > > please correct me if wrong, or any other better ideas. > > > > >> > > On Jan 8, 2013 4:02 PM, "lars hofhansl" <[email protected] > > > > >> <javascript:;>> > > > > >> > > wrote: > > > > >> > > > > > > >> > > > What type of disks and how many? > > > > >> > > > With the default replication factor your 2 (or 6) GB are > > > actually > > > > >> > > > replicated 3 times. > > > > >> > > > 6GB/80s = 75MB/s, twice that if you do not disable the WAL, > > > which > > > > a > > > > >> > > > reasonable machine should be able to absorb. > > > > >> > > > The fact that deferred log flush does not help you seems to > > > > indicate > > > > >> > that > > > > >> > > > you're over IO bound. > > > > >> > > > > > > > >> > > > > > > > >> > > > What's your memstore flush size? Potentially the data is > > written > > > > many > > > > >> > > > times during compactions. > > > > >> > > > > > > > >> > > > > > > > >> > > > In your case you dial down the HDFS replication, since you > > only > > > > have > > > > >> > two > > > > >> > > > physical machines anyway. > > > > >> > > > (Set it to 2. If you do not specify any failure zones, you > > might > > > > as > > > > >> > well > > > > >> > > > set it to 1... You will lose data if one of your server > > machines > > > > dies > > > > >> > > > anyway). > > > > >> > > > > > > > >> > > > It does not really make that much sense to deploy HBase and > > HDFS > > > > on > > > > >> > > > virtual nodes like this. > > > > >> > > > -- Lars > > > > >> > > > > > > > >> > > > > > > > >> > > > > > > > >> > > > ________________________________ > > > > >> > > > From: Farrokh Shahriari <[email protected] > > > > >> <javascript:;>> > > > > >> > > > To: [email protected] <javascript:;> > > > > >> > > > Sent: Monday, January 7, 2013 9:38 PM > > > > >> > > > Subject: Re: Tune MapReduce over HBase to insert data > > > > >> > > > > > > > >> > > > Hi again, > > > > >> > > > I'm using HBase 0.92.1-cdh4.0.0. > > > > >> > > > I have two server machine with 48Gb RAM,12 physical core & > 24 > > > > logical > > > > >> > > core > > > > >> > > > that contain 12 nodes(6 nodes on each server). Each node has > > 8Gb > > > > RAM > > > > >> & > > > > >> > 2 > > > > >> > > > VCPU. > > > > >> > > > I've set some parameter that get better result like set > > WAL=off > > > on > > > > >> > > put,but > > > > >> > > > some parameters like Heap-size,Deferred log flush don't help > > me. > > > > >> > > > Beside that I have another question,why each time I've run > > > > >> > mapreduce,I've > > > > >> > > > got different result time while all the config & hardware > are > > > > same & > > > > >> > not > > > > >> > > > change ? > > > > >> > > > > > > > >> > > > Tnx you guys > > > > >> > > > > > > > >> > > > On Tue, Jan 8, 2013 at 8:42 AM, Ted Yu <[email protected] > > > > >> > <javascript:;>> > > > > >> > > wrote: > > > > >> > > > > > > > >> > > > > Have you read through > > > > >> http://hbase.apache.org/book.html#performance? > > > > >> > > > > > > > > >> > > > > What version of HBase are you using ? > > > > >> > > > > > > > > >> > > > > Cheers > > > > >> > > > > > > > > >> > > > > On Mon, Jan 7, 2013 at 9:05 PM, Farrokh Shahriari < > > > > >> > > > > [email protected] <javascript:;>> wrote: > > > > >> > > > > > > > > >> > > > > > Hi there > > > > >> > > > > > I have a cluster with 12 nodes that each of them has 2 > > core > > > of > > > > >> CPU. > > > > >> > > > Now,I > > > > >> > > > > > want insert large data about 2Gb in 80 sec ( or 6Gb in > > > 240sec > > > > ). > > > > >> > I've > > > > >> > > > > used > > > > >> > > > > > Map-Reduce over hbase,but I can't achieve proper result > . > > > > >> > > > > > I'd be glad if you tell me what I can do to get better > > > result > > > > or > > > > >> > > which > > > > >> > > > > > parameters should I config or tune to improve > > > Map-Reduce/Hbase > > > > >> > > > > performance > > > > >> > > > > > ? > > > > >> > > > > > > > > > >> > > > > > Tnx > > > > >> > > > > > > > > > >> > > > > > > > > >> > > > > > > >> > > > > > >> > > > > > > > > > > > > > -- > Bing Jiang > Tel：(86)134-2619-1361 > weibo: http://weibo.com/jiangbinglover > BLOG: http://blog.sina.com.cn/jiangbinglover > National Research Center for Intelligent Computing Systems > Institute of Computing technology > Graduate University of Chinese Academy of Science > -- Adrien Mogenet 06.59.16.64.22 http://www.mogenet.me
