AvatarDataNode Error
Hi,all. When start a AvatarDataNode,show error below: 2012-02-14 17:33:50,719 ERROR org.apache.hadoop.hdfs.server.datanode.AvatarDataNode: java.lang.IllegalArgumentException: not a proxy instance at java.lang.reflect.Proxy.getInvocationHandler(Proxy.java:637) at org.apache.hadoop.ipc.RPC.stopProxy(RPC.java:393) at org.apache.hadoop.hdfs.server.datanode.DataNode.shutdown(DataNode.java:603) at org.apache.hadoop.hdfs.server.datanode.AvatarDataNode.shutdown(AvatarDataNode.java:576) at org.apache.hadoop.hdfs.server.datanode.DataNode.init(DataNode.java:218) at org.apache.hadoop.hdfs.server.datanode.AvatarDataNode.init(AvatarDataNode.java:119) at org.apache.hadoop.hdfs.server.datanode.AvatarDataNode.makeInstance(AvatarDataNode.java:691) at org.apache.hadoop.hdfs.server.datanode.AvatarDataNode.instantiateDataNode(AvatarDataNode.java:715) at org.apache.hadoop.hdfs.server.datanode.AvatarDataNode.createDataNode(AvatarDataNode.java:720) at org.apache.hadoop.hdfs.server.datanode.AvatarDataNode.main(AvatarDataNode.java:728) Does anybody know the reason? Thank you, Bourne
Re: ERROR: org.apache.hadoop.hbase.MasterNotRunningException: Retried 7 Times
Dear Jimmy, After changing my Linux from RedHat 9 to Ubuntu 10, all the problems are solved. Maybe RedHat 9 is too old to fit HBase and Hadoop? Thanks, Bing On Tue, Feb 14, 2012 at 5:23 AM, Bing Li lbl...@gmail.com wrote: Dear Jimmy, I noticed that my name node was not started. That might be the reason? I still tried to figure out why the name node was not started. Thanks so much! Bing On Tue, Feb 14, 2012 at 5:11 AM, Jimmy Xiang jxi...@cloudera.com wrote: Which HDFS/Hadoop are you using? The name node configuration for fs.default.name should be hdfs://localhost:9000 if you want your hbase.rootdir to be hdfs://localhost:9000/ hbase. They need to match. On Mon, Feb 13, 2012 at 11:58 AM, Bing Li lbl...@gmail.com wrote: Dear Jimmy, Thanks so much for your instant reply! My hbase-site.xml is like the following. property namehbase.rootdir/name valuehdfs://localhost:9000/hbase/value /property property namedfs.replication/name value1/value /property property namehbase.master/name valuelocalhost:6/value /property property namehbase.cluster.distributed/name valuetrue/value /property property namehbase.zookeeper.quorum/name valuelocalhost/value /property When I run hadoop fs -ls /, the directories and files under the linux root are displayed. Best, Bing On Tue, Feb 14, 2012 at 3:48 AM, Jimmy Xiang jxi...@cloudera.comwrote: Which port does your HDFS listen to? It is not 9000, right? namehbase.rootdir/name valuehdfs://localhost:9000/hbase/value You need to fix this and make sure your HDFS is working, for example, the following command should work for you. hadoop fs -ls / On Mon, Feb 13, 2012 at 11:44 AM, Bing Li lbl...@gmail.com wrote: Dear Jimmy, I configured the standalone mode successfully. But I wonder why the pseudo distributed one does work. I checked in logs and got the following exceptions. Does the information give you some hints? Thanks so much for your help again! Best, Bing 2012-02-13 18:25:49,782 FATAL org.apache.hadoop.hbase.master.HMaster: Unhandled exception. Starting shutdown. java.net.ConnectException: Call to localhost/127.0.0.1:9000 failed on connection exception: java.net.ConnectException: Connection refuse d at org.apache.hadoop.ipc.Client.wrapException(Client.java:1095) at org.apache.hadoop.ipc.Client.call(Client.java:1071) at org.apache.hadoop.ipc.RPC$Invoker.invoke(RPC.java:225) at $Proxy10.getProtocolVersion(Unknown Source) at org.apache.hadoop.ipc.RPC.getProxy(RPC.java:396) at org.apache.hadoop.ipc.RPC.getProxy(RPC.java:379) at org.apache.hadoop.hdfs.DFSClient.createRPCNamenode(DFSClient.java:119) at org.apache.hadoop.hdfs.DFSClient.init(DFSClient.java:238) at org.apache.hadoop.hdfs.DFSClient.init(DFSClient.java:203) at org.apache.hadoop.hdfs.DistributedFileSystem.initialize(DistributedFileSystem.java:89) at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:1386) at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:66) at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:1404) at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:254) at org.apache.hadoop.fs.Path.getFileSystem(Path.java:187) at org.apache.hadoop.hbase.util.FSUtils.getRootDir(FSUtils.java:471) at org.apache.hadoop.hbase.master.MasterFileSystem.init(MasterFileSystem.java:94) at org.apache.hadoop.hbase.master.HMaster.finishInitialization(HMaster.java:448) at org.apache.hadoop.hbase.master.HMaster.run(HMaster.java:326) at java.lang.Thread.run(Thread.java:662) Caused by: java.net.ConnectException: Connection refused at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:567) at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206) at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:656) at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:434) at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:560) at org.apache.hadoop.ipc.Client$Connection.access$2000(Client.java:184) at org.apache.hadoop.ipc.Client.getConnection(Client.java:1202) at org.apache.hadoop.ipc.Client.call(Client.java:1046) ... 18 more 2012-02-13 18:25:49,787 INFO org.apache.hadoop.hbase.master.HMaster: Aborting 2012-02-13 18:25:49,787 DEBUG org.apache.hadoop.hbase.master.HMaster: Stopping service threads Thanks so much! Bing On Tue, Feb 14, 2012 at 3:35 AM, Jimmy Xiang jxi...@cloudera.comwrote: In this case, you may just use the standalone mode. You can follow the quick start step by step. The default zookeeper port is 2181, you don't need to configure it. On Mon, Feb 13, 2012 at 11:28 AM, Bing Li lbl...@gmail.com wrote: Dear Jimmy, I am a new user of HBase. My experiences in HBase and Hadoop is very limited. I just tried to follow some books, such as
Re: Hadoop scripting when to use dfs -put
For the sake of http://xkcd.com/979/, and since this was cross posted, Håvard managed to solve this specific issue via Joey's response at https://groups.google.com/a/cloudera.org/group/cdh-user/msg/c55760868efa32e2 2012/2/14 Håvard Wahl Kongsgård haavard.kongsga...@gmail.com: My environment heap size varies from 18GB to 2GB in mapred-site.xml mapred.child.java.opts = -Xmx512M System Ubuntu 10.04 LTS, java-6-sun-1.6.0.26, ,latest cloudera version of hadoop This log from the tasklog Original exception was: java.lang.RuntimeException: java.lang.OutOfMemoryError: Java heap space at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:376) at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:572) at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:136) at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:57) at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34) at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:391) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:325) at org.apache.hadoop.mapred.Child$4.run(Child.java:270) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:396) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1157) at org.apache.hadoop.mapred.Child.main(Child.java:264) Caused by: java.lang.OutOfMemoryError: Java heap space at org.apache.hadoop.typedbytes.TypedBytesInput.readRawBytes(TypedBytesInput.java:212) at org.apache.hadoop.typedbytes.TypedBytesInput.readRaw(TypedBytesInput.java:152) at org.apache.hadoop.streaming.io.TypedBytesOutputReader.readKeyValue(TypedBytesOutputReader.java:51) at org.apache.hadoop.streaming.PipeMapRed$MROutputThread.run(PipeMapRed.java:418) I don't have a recursive loop like while or something else my dumbo code multi_tree() is just a simple function where the error handling is try: except: pass def mapper(key, value): v = value.split( )[0] yield multi_tree(v),1 if __name__ == __main__: import dumbo dumbo.run(mapper) -Håvard On Mon, Feb 13, 2012 at 8:52 PM, Rohit ro...@hortonworks.com wrote: Hi, What threw the heap error? Was it the Java VM, or the shell environment? It would be good to look at free RAM memory on your system before and after you ran the script as well, to see if your system is running low on memory. Are you using a recursive loop in your script? Thanks, Rohit Rohit Bakhshi www.hortonworks.com (http://www.hortonworks.com/) On Monday, February 13, 2012 at 10:39 AM, Håvard Wahl Kongsgård wrote: Hi, I originally posted this on the dumbo forum, but it's more a general scripting hadoop issue. When testing a simple script that created some local files and then copied them to hdfs with os.system(hadoop dfs -put /home/havard/bio_sci/file.json /tmp/bio_sci/file.json) the tasks fail with out of heap memory. The files are tiny, and I have tried increasing the heap size. When skipping the hadoop dfs -put, the tasks do not fail. Is it wrong to use hadoop dfs -put inside running a script with hadoop? Should I instead transfer the files at the end with a combiner, or simply mount hdfs locally and write directly to hdfs? Any general suggestions? -- Håvard Wahl Kongsgård NTNU http://havard.security-review.net/ -- Håvard Wahl Kongsgård NTNU http://havard.security-review.net/ -- Harsh J Customer Ops. Engineer Cloudera | http://tiny.cloudera.com/about
iterator method in Configuration class doesn't interpret expression in a property
Hi all,
I use Hadoop-1.0 or Hadoop-0.20.2 and Pig 0.8.
I encountered a strange behavior of Configuration class.
Configuration#get method can interpret expressions in a value related
to a property like ${foo.bar} but Configuration#iterator method
doesn't interpret expressions although the method returns the Iterator
which contains some pairs of a property name and a value as
Map.EntryString , String objects.
Do you know that the behavior of Configuration class is just a
specification or a defect?
Because of this matter, I can't use expressions for properties used in
pig internal e.g. pig.logfile, pig.temp.dir and so on even if I set
those properties in *-site.xml.
Best Regards,
Kousuke
iterator method in Configuration class doesn't interpret expression in a property
Hi all,
I use Hadoop-1.0 or Hadoop-0.20.2.
I encountered a strange behavior of Configuration class.
Configuration#get method can interpret expressions in a value related
to a property like ${foo.bar} but Configuration#iterator method
doesn't interpret expressions although the method returns the Iterator
which contains some pairs of a property name and a value as
Map.EntryString , String objects.
Do you know that the behavior of Configuration class is just a
specification or a defect?
Because of this matter, I can't use expressions for properties used in
pig internal e.g. pig.logfile, pig.temp.dir and so on even if I set
those properties in *-site.xml.
Best Regards,
Kousuke
Re: Processing small xml files
I'm not sure what you mean by flat format here. In my scenario, I have an file input.xml that looks like this. myfile section value1/value /section section value2/value /section /myfile input.xml is a plain text file. Not a sequence file. If I read it with the XMLInputFormat my mapper gets called with (key, value) pairs that look like this: (, sectionvalue1/value/section) (, sectionvalue2/value/section) Where the keys are numerical offsets into the file. I then use this information to write a sequence file with these (key, value) pairs. So my Hadoop job that uses XMLInputFormat takes a text file as input and produces a sequence file as output. I don't know a rule of thumb for how many small files is too many. Maybe someone else on the list can chime in. I just know that when your throughput gets slow that's one possible cause to investigate.
Re: Processing small xml files
Hi Mohit, How many are too many for namenode? We have around 100M files and 100M files every year The name-node stores file and block metadata in RAM. This is an estimate at memory utilization per file and block: Estimates show that the name-node uses fewer than 200 bytes to store a single metadata object (a file inode or a block). According to statistics on our clusters, a file on average consists of 1.5 blocks, which means that it takes 600 bytes (1 file object + 2 block objects) to store an average file in name-node’s RAM http://www.usenix.org/publications/login/2010-04/openpdfs/shvachko.pdf Next generation Hadoop (Hadoop 0.23) brings HDFS Federation, which will improve scalability of the name-node. You can read more about that here: http://hortonworks.com/an-introduction-to-hdfs-federation/ Rohit Bakhshi www.hortonworks.com (http://www.hortonworks.com/) On Tuesday, February 14, 2012 at 10:56 AM, W.P. McNeill wrote: I'm not sure what you mean by flat format here. In my scenario, I have an file input.xml that looks like this. myfile section value1/value /section section value2/value /section /myfile input.xml is a plain text file. Not a sequence file. If I read it with the XMLInputFormat my mapper gets called with (key, value) pairs that look like this: (, sectionvalue1/value/section) (, sectionvalue2/value/section) Where the keys are numerical offsets into the file. I then use this information to write a sequence file with these (key, value) pairs. So my Hadoop job that uses XMLInputFormat takes a text file as input and produces a sequence file as output. I don't know a rule of thumb for how many small files is too many. Maybe someone else on the list can chime in. I just know that when your throughput gets slow that's one possible cause to investigate.
Secondarynamenode fail to do checkpoint
When I tried to run the secondaynamenode in a separate machine,It throws the following exception 2012-02-10 00:25:46,551 ERROR org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode: Throwable Exception in doCheckpoint: 2012-02-10 00:25:46,551 ERROR org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode: java.lang.NullPointerException at org.apache.hadoop.hdfs.server.namenode.FSDirectory.addChild(FSDirectory.java:1091) at org.apache.hadoop.hdfs.server.namenode.FSDirectory.addChild(FSDirectory.java:1103) at org.apache.hadoop.hdfs.server.namenode.FSDirectory.addNode(FSDirectory.java:1006) at org.apache.hadoop.hdfs.server.namenode.FSDirectory.unprotectedAddFile(FSDirectory.java:205) at org.apache.hadoop.hdfs.server.namenode.FSEditLog.loadFSEdits(FSEditLog.java:613) at org.apache.hadoop.hdfs.server.namenode.FSImage.loadFSEdits(FSImage.java:1008) at org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode$CheckpointStorage.doMerge(SecondaryNameNode.java:672) at org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode$CheckpointStorage.access$500(SecondaryNameNode.java:571) at org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode.doMerge(SecondaryNameNode.java:448) at org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode.doCheckpoint(SecondaryNameNode.java:412) at org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode.doWork(SecondaryNameNode.java:312) at org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode.run(SecondaryNameNode.java:275) at java.lang.Thread.run(Thread.java:722) Can anyone give me some advice? -- View this message in context: http://hadoop-common.472056.n3.nabble.com/Secondarynamenode-fail-to-do-checkpoint-tp3745662p3745662.html Sent from the Users mailing list archive at Nabble.com.
Secondarynamenode fail to do checkpoint
I hava tried to run the secondarynamenode in a separate machine for a while,and the dfs.checkpoint.period is set to 15 minutes, It works well if I don't put any data to the HDFS,but if I put data to the HDFS , the secondaynamenode is down, and throws the following exception 2012-02-10 00:25:46,551 ERROR org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode: Throwable Exception in doCheckpoint: 2012-02-10 00:25:46,551 ERROR org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode: java.lang.NullPointerException at org.apache.hadoop.hdfs.server.namenode.FSDirectory.addChild(FSDirectory.java:1091) at org.apache.hadoop.hdfs.server.namenode.FSDirectory.addChild(FSDirectory.java:1103) at org.apache.hadoop.hdfs.server.namenode.FSDirectory.addNode(FSDirectory.java:1006) at org.apache.hadoop.hdfs.server.namenode.FSDirectory.unprotectedAddFile(FSDirectory.java:205) at org.apache.hadoop.hdfs.server.namenode.FSEditLog.loadFSEdits(FSEditLog.java:613) at org.apache.hadoop.hdfs.server.namenode.FSImage.loadFSEdits(FSImage.java:1008) at org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode$CheckpointStorage.doMerge(SecondaryNameNode.java:672) at org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode$CheckpointStorage.access$500(SecondaryNameNode.java:571) at org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode.doMerge(SecondaryNameNode.java:448) at org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode.doCheckpoint(SecondaryNameNode.java:412) at org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode.doWork(SecondaryNameNode.java:312) at org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode.run(SecondaryNameNode.java:275) at java.lang.Thread.run(Thread.java:722) Can anyone give me some help? -- View this message in context: http://hadoop-common.472056.n3.nabble.com/Secondarynamenode-fail-to-do-checkpoint-tp3745671p3745671.html Sent from the Users mailing list archive at Nabble.com.
when hadoop report job finished?
Hi all, I run terasort test on pseudo distributed, I found the one reduce job finished time is shorter than the four reduces job. I used tool to search why. Use nmon to monitor the disk read/write operation, I found a phenomena, when one reduce job report finished but the disk write data operation is still sustained for a long time. For four reduce jobs, when job report finished the disk read/write operation is done. In a nutshell, one reduce job finished time add disk write operation time equal to four reduces job finished time. So I think this is the reason why one reduce job time is shorter than the four reduces job, finally, I want to ask why that happened? What is the reduce job finished mark? The information and any attached documents contained in this message may be confidential and/or legally privileged. The message is intended solely for the addressee(s). If you are not the intended recipient, you are hereby notified that any use, dissemination, or reproduction is strictly prohibited and may be unlawful. If you are not the intended recipient, please contact the sender immediately by return e-mail and destroy all copies of the original message.
Extending pipes to support binary data
Hi, I'm trying to extend the pipes interface as defined in Pipes.hh to support the read of binary input data. I believe that would mean extending the getInputValue() method of context to return char *, which would then be memcpy'd to appropriate type inside the C++ pipes program. I'm guessing the best way to do this would be to use a custom InputFormat on the java side that would have BytesWritable value. Is this the correct approach? -- - Charles
Re: Does Hadoop 0.20.205 and Ganglia 3.1.7 compatible with each other ?
Hello Varun, i have patched and recompiled ganglia from source bit it still cores after the patch. Here are some logs: Feb 15 09:39:14 master gmetad[16487]: RRD_update (/var/lib/ganglia/rrds/hadoop/slave4/metricssystem.MetricsSystem.publish_max_time.rrd): /var/lib/ganglia/rrds/hadoop/slave4/metricssystem.MetricsSystem.publish_max_time.rrd: converting '4.9E-324' to float: Numerical result out of range Feb 15 09:39:14 master gmetad[16487]: RRD_update (/var/lib/ganglia/rrds/hadoop/master/metricssystem.MetricsSystem.publish_imax_time.rrd): /var/lib/ganglia/rrds/hadoop/master/metricssystem.MetricsSystem.publish_imax_time.rrd: converting '4.9E-324' to float: Numerical result out of range Feb 15 09:39:14 master gmetad[16487]: RRD_update (/var/lib/ganglia/rrds/hadoop/slave1/metricssystem.MetricsSystem.publish_imax_time.rrd): /var/lib/ganglia/rrds/hadoop/slave1/metricssystem.MetricsSystem.publish_imax_time.rrd: converting '4.9E-324' to float: Numerical result out of range Feb 15 09:39:14 master gmetad[16487]: RRD_update (/var/lib/ganglia/rrds/hadoop/slave1/metricssystem.MetricsSystem.snapshot_imax_time.rrd): /var/lib/ganglia/rrds/hadoop/slave1/metricssystem.MetricsSystem.snapshot_imax_time.rrd: converting '4.9E-324' to float: Numerical result out of range Feb 15 09:39:14 master gmetad[16487]: RRD_update (/var/lib/ganglia/rrds/hadoop/slave1/metricssystem.MetricsSystem.publish_max_time.rrd): /var/lib/ganglia/rrds/hadoop/slave1/metricssystem.MetricsSystem.publish_max_time.rrd: converting '4.9E-324' to float: Numerical result out of range Feb 15 09:39:14 master gmetad[16487]: *** buffer overflow detected ***: gmetad terminated i am using hadoop.1.0.0 and ganglia 3.20 tarball. Cheers Mete On Sat, Feb 11, 2012 at 2:19 AM, Merto Mertek masmer...@gmail.com wrote: Varun unfortunately I have had some problems with deploying a new version on the cluster.. Hadoop is not picking the new build in lib folder despite a classpath is set to it. The new build is picked just if I put it in the $HD_HOME/share/hadoop/, which is very strange.. I've done this on all nodes and can access the web, but all tasktracker are being stopped because of an error: INFO org.apache.hadoop.filecache.TrackerDistributedCacheManager: Cleanup... java.lang.InterruptedException: sleep interrupted at java.lang.Thread.sleep(Native Method) at org.apache.hadoop.filecache.TrackerDistributedCacheManager$CleanupThread.run(TrackerDistributedCacheManager.java:926) Probably the error is the consequence of an inadequate deploy of a jar.. I will ask to the dev list how they do it or are you maybe having any other idea? On 10 February 2012 17:10, Varun Kapoor rez...@hortonworks.com wrote: Hey Merto, Any luck getting the patch running on your cluster? In case you're interested, there's now a JIRA for this: https://issues.apache.org/jira/browse/HADOOP-8052. Varun On Wed, Feb 8, 2012 at 7:45 PM, Varun Kapoor rez...@hortonworks.com wrote: Your general procedure sounds correct (i.e. dropping your newly built .jar into $HD_HOME/lib/), but to make sure it's getting picked up, you should explicitly add $HD_HOME/lib/ to your exported HADOOP_CLASSPATH environment variable; here's mine, as an example: export HADOOP_CLASSPATH=.:./build/*.jar About your second point, you certainly need to copy this newly patched .jar to every node in your cluster, because my patch changes the value of a couple metrics emitted TO gmetad (FROM all the nodes in the cluster), so without copying it over to every node in the cluster, gmetad will still likely receive some bad metrics. Varun On Wed, Feb 8, 2012 at 6:19 PM, Merto Mertek masmer...@gmail.com wrote: I will need your help. Please confirm if the following procedure is right. I have a dev environment where I pimp my scheduler (no hadoop running) and a small cluster environment where the changes(jars) are deployed with some scripts, however I have never compiled the whole hadoop from source so I do not know if I am doing it right. I' ve done it as follow: a) apply a patch b) cd $HD_HOME; ant c) copy $HD_HOME/*build*/patched-core-hadoop.jar - cluster:/$HD_HOME/*lib* d) run $HD_HOME/bin/start-all.sh Is this enough? When I tried to test hadoop dfs -ls / I could see that a new jar was not loaded and instead a jar from $HD_HOME/*share*/hadoop-20.205.0.jar was taken.. Should I copy the entire hadoop folder to all nodes and reconfigure the entire cluster for the new build, or is enough if I configure it just on the node where gmetad will run? On 8 February 2012 06:33, Varun Kapoor rez...@hortonworks.com wrote: I'm so sorry, Merto - like a silly goose, I attached the 2 patches to my reply, and of course the mailing list did not accept the attachment. I plan on opening JIRAs for this tomorrow, but till then, here are
