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 > >> > > > > > > >> > > > > > >> > > > >> > > >> >
