Rakhi, I'd suggest going to 0.19.1. hbase and hadoop. We had so many problems with .0.19.0 on EC2 that we couldn't use it. Having problems with name resolution and generic startup scripts with .0.19.1 release but not a show stopper.
Ted -----Original Message----- From: Rakhi Khatwani [mailto:rakhi.khatw...@gmail.com] Sent: Friday, April 17, 2009 12:45 PM To: hbase-u...@hadoop.apache.org; core-user@hadoop.apache.org Subject: Re: Ec2 instability Hi, this is the exception i have been getting @ the mapreduce java.io.IOException: Cannot run program "bash": java.io.IOException: error=12, Cannot allocate memory at java.lang.ProcessBuilder.start(ProcessBuilder.java:459) at org.apache.hadoop.util.Shell.runCommand(Shell.java:149) at org.apache.hadoop.util.Shell.run(Shell.java:134) at org.apache.hadoop.fs.DF.getAvailable(DF.java:73) at org.apache.hadoop.fs.LocalDirAllocator$AllocatorPerContext.getLocalPathF orWrite(LocalDirAllocator.java:321) at org.apache.hadoop.fs.LocalDirAllocator.getLocalPathForWrite(LocalDirAllo cator.java:124) at org.apache.hadoop.mapred.MapOutputFile.getOutputFileForWrite(MapOutputFi le.java:61) at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.mergeParts(MapTask.java :1199) at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.flush(MapTask.java:857) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:333) at org.apache.hadoop.mapred.Child.main(Child.java:155) Caused by: java.io.IOException: java.io.IOException: error=12, Cannot allocate memory at java.lang.UNIXProcess.(UNIXProcess.java:148) at java.lang.ProcessImpl.start(ProcessImpl.java:65) at java.lang.ProcessBuilder.start(ProcessBuilder.java:452) ... 10 more On Fri, Apr 17, 2009 at 10:09 PM, Rakhi Khatwani <rakhi.khatw...@gmail.com>wrote: > Hi, > Its been several days since we have been trying to stabilize > hadoop/hbase on ec2 cluster. but failed to do so. > We still come across frequent region server fails, scanner timeout > exceptions and OS level deadlocks etc... > > and 2day while doing a list of tables on hbase i get the following > exception: > > hbase(main):001:0> list > 09/04/17 13:57:18 INFO ipc.HBaseClass: Retrying connect to server: / > 10.254.234.32:60020. Already tried 0 time(s). > 09/04/17 13:57:19 INFO ipc.HBaseClass: Retrying connect to server: / > 10.254.234.32:60020. Already tried 1 time(s). > 09/04/17 13:57:20 INFO ipc.HBaseClass: Retrying connect to server: / > 10.254.234.32:60020. Already tried 2 time(s). > 09/04/17 13:57:20 INFO ipc.HbaseRPC: Server at /10.254.234.32:60020 not > available yet, Zzzzz... > 09/04/17 13:57:20 INFO ipc.HbaseRPC: Server at /10.254.234.32:60020 could > not be reached after 1 tries, giving up. > 09/04/17 13:57:21 INFO ipc.HBaseClass: Retrying connect to server: / > 10.254.234.32:60020. Already tried 0 time(s). > 09/04/17 13:57:22 INFO ipc.HBaseClass: Retrying connect to server: / > 10.254.234.32:60020. Already tried 1 time(s). > 09/04/17 13:57:23 INFO ipc.HBaseClass: Retrying connect to server: / > 10.254.234.32:60020. Already tried 2 time(s). > 09/04/17 13:57:23 INFO ipc.HbaseRPC: Server at /10.254.234.32:60020 not > available yet, Zzzzz... > 09/04/17 13:57:23 INFO ipc.HbaseRPC: Server at /10.254.234.32:60020 could > not be reached after 1 tries, giving up. > 09/04/17 13:57:26 INFO ipc.HBaseClass: Retrying connect to server: / > 10.254.234.32:60020. Already tried 0 time(s). > 09/04/17 13:57:27 INFO ipc.HBaseClass: Retrying connect to server: / > 10.254.234.32:60020. Already tried 1 time(s). > 09/04/17 13:57:28 INFO ipc.HBaseClass: Retrying connect to server: / > 10.254.234.32:60020. Already tried 2 time(s). > 09/04/17 13:57:28 INFO ipc.HbaseRPC: Server at /10.254.234.32:60020 not > available yet, Zzzzz... > 09/04/17 13:57:28 INFO ipc.HbaseRPC: Server at /10.254.234.32:60020 could > not be reached after 1 tries, giving up. > 09/04/17 13:57:29 INFO ipc.HBaseClass: Retrying connect to server: / > 10.254.234.32:60020. Already tried 0 time(s). > 09/04/17 13:57:30 INFO ipc.HBaseClass: Retrying connect to server: / > 10.254.234.32:60020. Already tried 1 time(s). > 09/04/17 13:57:31 INFO ipc.HBaseClass: Retrying connect to server: / > 10.254.234.32:60020. Already tried 2 time(s). > 09/04/17 13:57:31 INFO ipc.HbaseRPC: Server at /10.254.234.32:60020 not > available yet, Zzzzz... > 09/04/17 13:57:31 INFO ipc.HbaseRPC: Server at /10.254.234.32:60020 could > not be reached after 1 tries, giving up. > 09/04/17 13:57:34 INFO ipc.HBaseClass: Retrying connect to server: / > 10.254.234.32:60020. Already tried 0 time(s). > 09/04/17 13:57:35 INFO ipc.HBaseClass: Retrying connect to server: / > 10.254.234.32:60020. Already tried 1 time(s). > 09/04/17 13:57:36 INFO ipc.HBaseClass: Retrying connect to server: / > 10.254.234.32:60020. Already tried 2 time(s). > 09/04/17 13:57:36 INFO ipc.HbaseRPC: Server at /10.254.234.32:60020 not > available yet, Zzzzz... > > but if i check on the UI, hbase master is still on, (tried refreshing it > several times). > > > and i have been getting a lot of exceptions from time to time including > region servers going down (which happens very frequently due to which there > is heavy data loss... that too on production data), scanner timeout > exceptions, cannot allocate memory exceptions etc. > > I am working on amazon ec2 Large cluster with 6 nodes... > with each node having the hardware configuration as follows: > > - Large Instance 7.5 GB of memory, 4 EC2 Compute Units (2 virtual cores > with 2 EC2 Compute Units each), 850 GB of instance storage, 64-bit > platform > > > I am using hadoop-0.19.0 and hbase 0.19.0 (resynced to all the nodes and > made sure that there is a symbolic link to hadoop-site from hbase/conf) > > Following is my configuration on hadoop-site.xml > <configuration> > > <property> > <name>hadoop.tmp.dir</name> > <value>/mnt/hadoop</value> > </property> > > <property> > <name>fs.default.name</name> > <value>hdfs://domU-12-31-39-00-E5-D2.compute-1.internal:50001</value> > </property> > > <property> > <name>mapred.job.tracker</name> > <value>domU-12-31-39-00-E5-D2.compute-1.internal:50002</value> > </property> > > <property> > <name>tasktracker.http.threads</name> > <value>80</value> > </property> > > <property> > <name>mapred.tasktracker.map.tasks.maximum</name> > <value>3</value> > </property> > > <property> > <name>mapred.tasktracker.reduce.tasks.maximum</name> > <value>3</value> > </property> > > <property> > <name>mapred.output.compress</name> > <value>true</value> > </property> > > <property> > <name>mapred.output.compression.type</name> > <value>BLOCK</value> > </property> > > <property> > <name>dfs.client.block.write.retries</name> > <value>3</value> > </property> > > <property> > <name>mapred.child.java.opts</name> > <value>-Xmx4096m</value> > </property> > > Given it a high value since the RAM on each node is 7GB... not sure of this > setting though > **i got Cannot Allocate Memory Exception after making this setting. (got it > for the first time) > after going through the archives, someone suggested enabling the overcommit > memory....not sure of it though ** > > <property> > <name>dfs.datanode.max.xcievers</name> > <value>4096</value> > </property> > > As suggested by some of you... i guess it solved the data xceivers > exception on hadoop > > <property> > <name>dfs.datanode.handler.count</name> > <value>10</value> > </property> > > <property> > <name>mapred.task.timeout</name> > <value>0</value> > <description>The number of milliseconds before a task will be > terminated if it neither reads an input, writes an output, nor > updates its status string. > </description> > </property> > > This property has been set coz i have been getting a lot of exceptions > "Cannot report in 602 seconds....killing" > > <property> > <name>mapred.tasktracker.expiry.interval</name> > <value>360000</value> > <description>Expert: The time-interval, in miliseconds, after which > a tasktracker is declared 'lost' if it doesn't send heartbeats. > </description> > </property> > > <property> > <name>dfs.datanode.socket.write.timeout</name> > <value>0</value> > </property> > > To avoid socket timeout exceptions > > <property> > <name>dfs.replication</name> > <value>5</value> > <description>Default block replication. > The actual number of replications can be specified when the file is > created. > The default is used if replication is not specified in create time. > </description> > </property> > > <property> > <name>mapred.job.reuse.jvm.num.tasks</name> > <value>-1</value> > <description>How many tasks to run per jvm. If set to -1, there is > no limit. > </description> > </property> > > </configuration> > > > and following is the configuration on hbase-site.xml > > <configuration> > <property> > <name>hbase.master</name> > <value>domU-12-31-39-00-E5-D2.compute-1.internal:60000</value> > </property> > > <property> > <name>hbase.rootdir</name> > > <value>hdfs://domU-12-31-39-00-E5-D2.compute-1.internal:50001/hbase</val ue> > </property> > > <property> > <name>hbase.regionserver.lease.period</name> > <value>12600000</value> > <description>HRegion server lease period in milliseconds. Default is > 60 seconds. Clients must report in within this period else they are > considered dead.</description> > </property> > > > I have set this coz there is a map reduce program which takes almost 3-4 > minutes to process a row. worst case is 7 mins > so this has been calculated as (7*60*1000) * (30) = 12600000 > where (7*60*1000) = time to proccess a row in ms. > and 30 = thedefault hbase scanner caching. > so i shoudnt be getting scanner timeout exception > > ** made this change today..... i haven't come across scanner timeout > exception today ** > > <property> > <name>hbase.master.lease.period</name> > <value>3600000</value> > <description>HMaster server lease period in milliseconds. Default is > 120 seconds. Region servers must report in within this period else > they are considered dead. On loaded cluster, may need to up this > period.</description> > </property> > > </configuration> > > > Any suggesstions on changes in the configurations?? > > My main concern is the region servers goin down from time to time which > happens very frequently. due to which my map-reduce tasks hangs and the > entire application fails :( > > I have tried almost all the suggestions mentioned by you except separating > the datanodes from computational nodes which i plan to do 2morrow. > has it been tried before?? > and what would be your recommendation?? how many nodes should i consider as > datanodes and computational nodes? > > i am hoping that the cluster would be stable by 2morrow :) > > Thanks a ton, > Raakhi > _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. 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