org.apache.hadoop.ipc.StandbyException occurs at the thirty of per hour in standby NN
hello, All Installed 2 NN and 3 DN in my hadoop-2.2.0 cluster,and implemented HDFS HA with QJM. Currently, looking at the log of standby NN ,it throws below exception at a regular interval, one hour: 2014-01-24 03:30:01,245 ERROR org.apache.hadoop.security.UserGroupInformation: PriviledgedActionException as:ubuntu (auth:SIMPLE) cause:org.apache.hadoop.ipc.StandbyException: Operation category READ is not supported in state standby Actually, the active NN is working ,and no applications access HDFS with error. Does anyone know what the problem is ? Thanks, Francis.Hu
Re: org.apache.hadoop.ipc.StandbyException occurs at the thirty of per hour in standby NN
Hi Francis, This is a non-worry, but you're basically hitting https://issues.apache.org/jira/browse/HDFS-3447. A temporary workaround could be to disable the UGI at the logging configuration level. On Fri, Jan 24, 2014 at 2:46 PM, Francis.Hu francis...@reachjunction.com wrote: hello, All Installed 2 NN and 3 DN in my hadoop-2.2.0 cluster,and implemented HDFS HA with QJM. Currently, looking at the log of standby NN ,it throws below exception at a regular interval, one hour: 2014-01-24 03:30:01,245 ERROR org.apache.hadoop.security.UserGroupInformation: PriviledgedActionException as:ubuntu (auth:SIMPLE) cause:org.apache.hadoop.ipc.StandbyException: Operation category READ is not supported in state standby Actually, the active NN is working ,and no applications access HDFS with error. Does anyone know what the problem is ? Thanks, Francis.Hu -- Harsh J
Re: hdfs fsck -locations
Here is an example hdfs fsck /user/mark/data/word_count.csv Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 07:45:24 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated): 1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks: 0 (0.0 %) Mis-replicated blocks: 0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 07:45:24 CST 2014 in 0 milliseconds On Fri, Jan 24, 2014 at 4:34 AM, Harsh J ha...@cloudera.com wrote: Hi Mark, Yes, the locations are shown as IP. On Fri, Jan 24, 2014 at 12:09 AM, Mark Kerzner mark.kerz...@shmsoft.com wrote: Hi, hdfs fsck -locations is supposed to show every block with its location? Is location the ip of the datanode? Thank you, Mark -- Harsh J
RE: HDFS buffer sizes
Ah, I see... it is a constant CommonConfigurationKeysPublic.java: public static final int IO_FILE_BUFFER_SIZE_DEFAULT = 4096; Are there benefits to increasing this for large reads or writes? john From: Arpit Agarwal [mailto:aagar...@hortonworks.com] Sent: Thursday, January 23, 2014 3:31 PM To: user@hadoop.apache.org Subject: Re: HDFS buffer sizes HDFS does not appear to use dfs.stream-buffer-size. On Thu, Jan 23, 2014 at 6:57 AM, John Lilley john.lil...@redpoint.netmailto:john.lil...@redpoint.net wrote: What is the interaction between dfs.stream-buffer-size and dfs.client-write-packet-size? I see that the default for dfs.stream-buffer-size is 4K. Does anyone have experience using larger buffers to optimize large writes? Thanks John CONFIDENTIALITY NOTICE NOTICE: This message is intended for the use of the individual or entity to which it is addressed and may contain information that is confidential, privileged and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, you are hereby notified that any printing, copying, dissemination, distribution, disclosure or forwarding of this communication is strictly prohibited. If you have received this communication in error, please contact the sender immediately and delete it from your system. Thank You.
Fw: Hadoop 2 Namenode HA not working properly
Begin forwarded message: Date: Tue, 21 Jan 2014 09:35:23 + From: Bruno Andrade b...@eurotux.com To: user@hadoop.apache.org Subject: Re: Hadoop 2 Namenode HA not working properly Hey, this is my hdfs-site.xml - http://pastebin.com/qpELkwH8 this is my core-site.xml: configuration property namefs.defaultFS/name valuehdfs://blabla-hadoop/value /property property namehadoop.tmp.dir/name value/opt/hadoop/hadoop/tmp/value /property /configuration I kill only the namenode process and nothing happen, then I killed zkfc process and the transition happend, the second namenode become active. Thanks. On 01/20/2014 06:44 PM, Jing Zhao wrote: Hi Bruno, Could you post your configuration? Also, when you killed one of the NN, you mean only killing the NN process or you shutdown the whole machine? Thanks, -Jing On Mon, Jan 20, 2014 at 4:11 AM, Bruno Andrade b...@eurotux.com wrote: Hey, I have configured a Hadoop v2.2.0 cluster with QJM and Zookeeper for HA and automatic failover. But I'm having a problem. If I test the automatic failover, by killing one of the namenodes, nothing happens. But if I kill the zkfc of that namenode, then zookeeper elects the other namenode as active. What can it be the problem? Thanks. -- Bruno Andrade b...@eurotux.com Programador (ID) Eurotux Informática, S.A. | www.eurotux.com (t) +351 253 680 300 (m) +351 936 293 858 -- Bruno Andrade b...@eurotux.com Programador (ID) Eurotux Informática, S.A. | www.eurotux.com (t) +351 253 680 300 (m) +351 936 293 858 -- Bruno Andrade b...@eurotux.com Programador (ID) Eurotux Informática, S.A. | www.eurotux.com (t) +351 253 680 300 (m) +351 936 293 858 Hey, this is my hdfs-site.xml - http://pastebin.com/qpELkwH8 this is my core-site.xml: configuration property namefs.defaultFS/name valuehdfs://blabla-hadoop/value /property property namehadoop.tmp.dir/name value/opt/hadoop/hadoop/tmp/value /property /configuration I kill only the namenode process and nothing happen, then I killed zkfc process and the transition happend, the second namenode become active. Thanks. On 01/20/2014 06:44 PM, Jing Zhao wrote: Hi Bruno, Could you post your configuration? Also, when you killed one of the NN, you mean only killing the NN process or you shutdown the whole machine? Thanks, -Jing On Mon, Jan 20, 2014 at 4:11 AM, Bruno Andrade b...@eurotux.com wrote: Hey, I have configured a Hadoop v2.2.0 cluster with QJM and Zookeeper for HA and automatic failover. But I'm having a problem. If I test the automatic failover, by killing one of the namenodes, nothing happens. But if I kill the zkfc of that namenode, then zookeeper elects the other namenode as active. What can it be the problem? Thanks. -- Bruno Andrade b...@eurotux.com Programador (ID) Eurotux Informtica, S.A. | www.eurotux.com (t) +351 253 680 300 (m) +351 936 293 858 -- Bruno Andrade b...@eurotux.com Programador (ID) Eurotux Informtica, S.A. | www.eurotux.com (t) +351 253 680 300 (m) +351 936 293 858
No space left on device during merge.
Hi, I'm getting the below error while trying to sort a lot of data with Hadoop. I strongly suspect the node the merge is on is running out of local disk space. Assuming this is the case, is there any way to get around this limitation considering I can't increase the local disk space available on the nodes? Like specify sort/merge parameters or similar. Thanks, Tim. 2014-01-24 10:02:36,267 INFO [main] org.apache.hadoop.io.compress.CodecPool: Got brand-new decompressor [.lzo_deflate] 2014-01-24 10:02:36,280 INFO [main] org.apache.hadoop.mapred.Merger: Down to the last merge-pass, with 100 segments left of total size: 642610678884 bytes 2014-01-24 10:02:36,281 ERROR [main] org.apache.hadoop.security.UserGroupInformation: PriviledgedActionException as:XX (auth:XX) cause:org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in OnDiskMerger - Thread to merge on-disk map-outputs 2014-01-24 10:02:36,282 WARN [main] org.apache.hadoop.mapred.YarnChild: Exception running child : org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in OnDiskMerger - Thread to merge on-disk map-outputs at org.apache.hadoop.mapreduce.task.reduce.Shuffle.run(Shuffle.java:167) at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:371) at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:158) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:415) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1284) at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:153) Caused by: org.apache.hadoop.fs.FSError: java.io.IOException: No space left on device at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.write(RawLocalFileSystem.java:213) at java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82) at java.io.BufferedOutputStream.write(BufferedOutputStream.java:126) at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.write(FSDataOutputStream.java:54) at java.io.DataOutputStream.write(DataOutputStream.java:107) at org.apache.hadoop.mapred.IFileOutputStream.write(IFileOutputStream.java:88) at org.apache.hadoop.io.compress.BlockCompressorStream.compress(BlockCompressorStream.java:150) at org.apache.hadoop.io.compress.BlockCompressorStream.finish(BlockCompressorStream.java:140) at org.apache.hadoop.io.compress.BlockCompressorStream.write(BlockCompressorStream.java:99) at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.write(FSDataOutputStream.java:54) at java.io.DataOutputStream.write(DataOutputStream.java:107) at org.apache.hadoop.mapred.IFile$Writer.append(IFile.java:249) at org.apache.hadoop.mapred.Merger.writeFile(Merger.java:200) at org.apache.hadoop.mapreduce.task.reduce.MergeManager$OnDiskMerger.merge(MergeManager.java:572) at org.apache.hadoop.mapreduce.task.reduce.MergeThread.run(MergeThread.java:94) Caused by: java.io.IOException: No space left on device at java.io.FileOutputStream.writeBytes(Native Method) at java.io.FileOutputStream.write(FileOutputStream.java:318) at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.write(RawLocalFileSystem.java:211) ... 14 more 2014-01-24 10:02:36,284 INFO [main] org.apache.hadoop.mapred.Task: Runnning cleanup for the task
Fwd: HDFS data transfer is faster than SCP based transfer?
Hi Can anyone please answer my query? -Rab -- Forwarded message -- From: rab ra rab...@gmail.com Date: 24 Jan 2014 10:55 Subject: HDFS data transfer is faster than SCP based transfer? To: user@hadoop.apache.org Hello I have a use case that requires transfer of input files from remote storage using SCP protocol (using jSCH jar). To optimize this use case, I have pre-loaded all my input files into HDFS and modified my use case so that it copies required files from HDFS. So, when tasktrackers works, it copies required number of input files to its local directory from HDFS. All my tasktrackers are also datanodes. I could see my use case has run faster. The only modification in my application is that file copy from HDFS instead of transfer using SCP. Also, my use case involves parallel operations (run in tasktrackers) and they do lot of file transfer. Now all these transfers are replaced with HDFS copy. Can anyone tell me HDFS transfer is faster as I witnessed? Is it because, it uses TCP/IP? Can anyone give me reasonable reasons to support the decrease of time? with thanks and regards rab
Re: HDFS buffer sizes
I don't think that value is used either except in the legacy block reader which is turned off by default. On Fri, Jan 24, 2014 at 6:34 AM, John Lilley john.lil...@redpoint.netwrote: Ah, I see… it is a constant CommonConfigurationKeysPublic.java: public static final int IO_FILE_BUFFER_SIZE_DEFAULT = 4096; Are there benefits to increasing this for large reads or writes? john *From:* Arpit Agarwal [mailto:aagar...@hortonworks.com] *Sent:* Thursday, January 23, 2014 3:31 PM *To:* user@hadoop.apache.org *Subject:* Re: HDFS buffer sizes HDFS does not appear to use dfs.stream-buffer-size. On Thu, Jan 23, 2014 at 6:57 AM, John Lilley john.lil...@redpoint.net wrote: What is the interaction between dfs.stream-buffer-size and dfs.client-write-packet-size? I see that the default for dfs.stream-buffer-size is 4K. Does anyone have experience using larger buffers to optimize large writes? Thanks John CONFIDENTIALITY NOTICE NOTICE: This message is intended for the use of the individual or entity to which it is addressed and may contain information that is confidential, privileged and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, you are hereby notified that any printing, copying, dissemination, distribution, disclosure or forwarding of this communication is strictly prohibited. If you have received this communication in error, please contact the sender immediately and delete it from your system. Thank You. -- CONFIDENTIALITY NOTICE NOTICE: This message is intended for the use of the individual or entity to which it is addressed and may contain information that is confidential, privileged and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, you are hereby notified that any printing, copying, dissemination, distribution, disclosure or forwarding of this communication is strictly prohibited. If you have received this communication in error, please contact the sender immediately and delete it from your system. Thank You.
What is the fix for this error ?
-bash-4.1$ /usr/jdk64/jdk1.6.0_31/bin/javac -Xlint -classpath /usr/lib/hadoop-mapreduce/hadoop-mapreduce-client-core-2.2.0.2.0.6.0-76.jar:/usr/lib/hadoop/hadoop-common-2.2.0.2.0.6.0-76.jar:./hadoop-annotations-2.0.0-cdh4.0.1.jar WordCount.java WordCount.java:62: warning: [deprecation] Job(org.apache.hadoop.conf.Configuration,java.lang.String) in org.apache.hadoop.mapreduce.Job has been deprecated Job job = new Job(conf, WordCount); Thanks, The information contained in this e-mail, and any attachment, is confidential and is intended solely for the use of the intended recipient. Access, copying or re-use of the e-mail or any attachment, or any information contained therein, by any other person is not authorized. If you are not the intended recipient please return the e-mail to the sender and delete it from your computer. Although we attempt to sweep e-mail and attachments for viruses, we do not guarantee that either are virus-free and accept no liability for any damage sustained as a result of viruses. Please refer to http://disclaimer.bnymellon.com/eu.htm for certain disclosures relating to European legal entities.
Re: hdfs fsck -locations
Sorry, but what was the question? I also do not see a locations option flag. On Jan 24, 2014 7:17 PM, Mark Kerzner mark.kerz...@shmsoft.com wrote: Here is an example hdfs fsck /user/mark/data/word_count.csv Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 07:45:24 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated): 1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks: 0 (0.0 %) Mis-replicated blocks: 0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 07:45:24 CST 2014 in 0 milliseconds On Fri, Jan 24, 2014 at 4:34 AM, Harsh J ha...@cloudera.com wrote: Hi Mark, Yes, the locations are shown as IP. On Fri, Jan 24, 2014 at 12:09 AM, Mark Kerzner mark.kerz...@shmsoft.com wrote: Hi, hdfs fsck -locations is supposed to show every block with its location? Is location the ip of the datanode? Thank you, Mark -- Harsh J
Re: hdfs fsck -locations
Sorry, did not copy the full command hdfs fsck /user/mark/data/word_count.csv -locations Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 11:15:17 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated): 1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks: 0 (0.0 %) Mis-replicated blocks: 0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 11:15:17 CST 2014 in 1 milliseconds The filesystem under path '/user/mark/data/word_count.csv' is HEALTHY On Fri, Jan 24, 2014 at 11:08 AM, Harsh J ha...@cloudera.com wrote: Sorry, but what was the question? I also do not see a locations option flag. On Jan 24, 2014 7:17 PM, Mark Kerzner mark.kerz...@shmsoft.com wrote: Here is an example hdfs fsck /user/mark/data/word_count.csv Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 07:45:24 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated): 1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks: 0 (0.0 %) Mis-replicated blocks: 0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 07:45:24 CST 2014 in 0 milliseconds On Fri, Jan 24, 2014 at 4:34 AM, Harsh J ha...@cloudera.com wrote: Hi Mark, Yes, the locations are shown as IP. On Fri, Jan 24, 2014 at 12:09 AM, Mark Kerzner mark.kerz...@shmsoft.com wrote: Hi, hdfs fsck -locations is supposed to show every block with its location? Is location the ip of the datanode? Thank you, Mark -- Harsh J
RE: hdfs fsck -locations
I'm not seeing locations flag yet. Rod Nascimento Systems Engineer @ Brazil People don't buy WHAT you do. They buy WHY you do it. From: Mark Kerzner [mailto:mark.kerz...@shmsoft.com] Sent: Friday, January 24, 2014 3:16 PM To: Hadoop User Subject: Re: hdfs fsck -locations Sorry, did not copy the full command hdfs fsck /user/mark/data/word_count.csv -locations Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232http://192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 11:15:17 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated):1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks:0 (0.0 %) Mis-replicated blocks:0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 11:15:17 CST 2014 in 1 milliseconds The filesystem under path '/user/mark/data/word_count.csv' is HEALTHY On Fri, Jan 24, 2014 at 11:08 AM, Harsh J ha...@cloudera.commailto:ha...@cloudera.com wrote: Sorry, but what was the question? I also do not see a locations option flag. On Jan 24, 2014 7:17 PM, Mark Kerzner mark.kerz...@shmsoft.commailto:mark.kerz...@shmsoft.com wrote: Here is an example hdfs fsck /user/mark/data/word_count.csv Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232http://192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 07:45:24 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated): 1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks: 0 (0.0 %) Mis-replicated blocks: 0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 07:45:24 CST 2014 in 0 milliseconds On Fri, Jan 24, 2014 at 4:34 AM, Harsh J ha...@cloudera.commailto:ha...@cloudera.com wrote: Hi Mark, Yes, the locations are shown as IP. On Fri, Jan 24, 2014 at 12:09 AM, Mark Kerzner mark.kerz...@shmsoft.commailto:mark.kerz...@shmsoft.com wrote: Hi, hdfs fsck -locations is supposed to show every block with its location? Is location the ip of the datanode? Thank you, Mark -- Harsh J
RE: hdfs fsck -locations
Hi Mark, It is a sample from my sandbox. Your question is about the part that is in RED at the output below, right? [root@sandbox ~]# hdfs fsck /user/ambari-qa/passwd -locations Connecting to namenode via http://sandbox.hortonworks.com:50070 FSCK started by root (auth:SIMPLE) from /172.16.13.30 for path /user/ambari-qa/passwd at Fri Jan 24 09:53:43 PST 2014 . /user/ambari-qa/passwd: Under replicated BP-1578958328-10.0.2.15-1382306880516:blk_1073742464_1640. Target Replicas is 3 but found 1 replica(s). Status: HEALTHY Total size:1708 B Total dirs:0 Total files:1 Total symlinks:0 Total blocks (validated):1 (avg. block size 1708 B) Minimally replicated blocks:1 (100.0 %) Over-replicated blocks:0 (0.0 %) Under-replicated blocks:1 (100.0 %) Mis-replicated blocks:0 (0.0 %) Default replication factor:3 Average block replication:1.0 Corrupt blocks:0 Missing replicas:2 (66.64 %) Number of data-nodes:1 Number of racks:1 FSCK ended at Fri Jan 24 09:53:43 PST 2014 in 1 milliseconds The filesystem under path '/user/ambari-qa/passwd' is HEALTHY [root@sandbox ~]# Rod Nascimento From: Nascimento, Rodrigo [rodrigo.nascime...@netapp.com] Sent: Friday, January 24, 2014 3:34 PM To: user@hadoop.apache.org Subject: RE: hdfs fsck -locations I’m not seeing locations flag yet. Rod Nascimento Systems Engineer @ Brazil People don’t buy WHAT you do. They buy WHY you do it. From: Mark Kerzner [mailto:mark.kerz...@shmsoft.com] Sent: Friday, January 24, 2014 3:16 PM To: Hadoop User Subject: Re: hdfs fsck -locations Sorry, did not copy the full command hdfs fsck /user/mark/data/word_count.csv -locations Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232http://192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 11:15:17 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated):1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks:0 (0.0 %) Mis-replicated blocks:0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 11:15:17 CST 2014 in 1 milliseconds The filesystem under path '/user/mark/data/word_count.csv' is HEALTHY On Fri, Jan 24, 2014 at 11:08 AM, Harsh J ha...@cloudera.commailto:ha...@cloudera.com wrote: Sorry, but what was the question? I also do not see a locations option flag. On Jan 24, 2014 7:17 PM, Mark Kerzner mark.kerz...@shmsoft.commailto:mark.kerz...@shmsoft.com wrote: Here is an example hdfs fsck /user/mark/data/word_count.csv Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232http://192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 07:45:24 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated): 1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks: 0 (0.0 %) Mis-replicated blocks: 0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 07:45:24 CST 2014 in 0 milliseconds On Fri, Jan 24, 2014 at 4:34 AM, Harsh J ha...@cloudera.commailto:ha...@cloudera.com wrote: Hi Mark, Yes, the locations are shown as IP. On Fri, Jan 24, 2014 at 12:09 AM, Mark Kerzner mark.kerz...@shmsoft.commailto:mark.kerz...@shmsoft.com wrote: Hi, hdfs fsck -locations is supposed to show every block with its location? Is location the ip of the datanode? Thank you, Mark -- Harsh J
Memory problems with BytesWritable and huge binary files
Hi there, We have several diverse large datasets to process (one set may be as much as 27 TB), however all of the files in these datasets are binary files. We need to be able to pass each binary file to several tools running in the Map Reduce framework. We already have a working pipeline of MapReduce tasks that receives each binary file (as BytesWritable) and processes it, we have tested it with very small test datasets so far. For any particular data set, the size of the files involves varies wildly with each file being anywhere between about 2 KB and 4 GB. With that in mind we have tried to follow the advice to read the files into a Sequence File in HDFS. To create the Sequence File we have a Map Reduce Job that uses a SequenceFileOutputFormat[Text, BytesWritable]. We cannot split these files into chunks, they must be processed by our tools in our mappers and reducers as complete files. The problem we have is that BytesWritable appears to load the entire content of a file into memory, and now that we are trying to process our production size datasets, once you get a couple of large files on the go, the JVM throws the dreaded OutOfMemoryError. What we need is someway to process these binary files, by reading and writing their contents as Streams to and from the Sequence File. Or really any other mechanism that does not involve loading the entire file into RAM! Our own tools that we use in the mappers and reducers in-fact expect to work with java.io.InputStream. We have tried quite a few things now, including writing some custom Writable implementations, but we then end up buffering data in temporary files which is not exactly ideal when the data already exists in the sequence files in HDFS. Is there any hope? Thanks Adam. -- Adam Retter skype: adam.retter tweet: adamretter http://www.adamretter.org.uk
Re: Ambari upgrade 1.4.1 to 1.4.2
+user@ambari -user@hadoop Please post ambari related questions to the ambari user mailing list. Thanks +Vinod Hortonworks Inc. http://hortonworks.com/ On Fri, Jan 24, 2014 at 9:15 AM, Kokkula, Sada sadanandam.kokk...@bnymellon.com wrote: Ambari-Server upgrade from 1.4.1 to 1.4.2 wipes out Ambari database during upgrade. After that, not able to open the Ambari Server GUI. Reviewed the Horton works web site for help, but the steps in doc plan not help out to fix the issue. Appreciated for any updates. Thanks, The information contained in this e-mail, and any attachment, is confidential and is intended solely for the use of the intended recipient. Access, copying or re-use of the e-mail or any attachment, or any information contained therein, by any other person is not authorized. If you are not the intended recipient please return the e-mail to the sender and delete it from your computer. Although we attempt to sweep e-mail and attachments for viruses, we do not guarantee that either are virus-free and accept no liability for any damage sustained as a result of viruses. Please refer to http://disclaimer.bnymellon.com/eu.htm for certain disclosures relating to European legal entities. -- CONFIDENTIALITY NOTICE NOTICE: This message is intended for the use of the individual or entity to which it is addressed and may contain information that is confidential, privileged and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, you are hereby notified that any printing, copying, dissemination, distribution, disclosure or forwarding of this communication is strictly prohibited. If you have received this communication in error, please contact the sender immediately and delete it from your system. Thank You.
Re: HDFS data transfer is faster than SCP based transfer?
Is it a single file? Lots of files? How big are the files? Is the copy on a single node or are you running some kind of a MapReduce program? +Vinod Hortonworks Inc. http://hortonworks.com/ On Fri, Jan 24, 2014 at 7:21 AM, rab ra rab...@gmail.com wrote: Hi Can anyone please answer my query? -Rab -- Forwarded message -- From: rab ra rab...@gmail.com Date: 24 Jan 2014 10:55 Subject: HDFS data transfer is faster than SCP based transfer? To: user@hadoop.apache.org Hello I have a use case that requires transfer of input files from remote storage using SCP protocol (using jSCH jar). To optimize this use case, I have pre-loaded all my input files into HDFS and modified my use case so that it copies required files from HDFS. So, when tasktrackers works, it copies required number of input files to its local directory from HDFS. All my tasktrackers are also datanodes. I could see my use case has run faster. The only modification in my application is that file copy from HDFS instead of transfer using SCP. Also, my use case involves parallel operations (run in tasktrackers) and they do lot of file transfer. Now all these transfers are replaced with HDFS copy. Can anyone tell me HDFS transfer is faster as I witnessed? Is it because, it uses TCP/IP? Can anyone give me reasonable reasons to support the decrease of time? with thanks and regards rab -- CONFIDENTIALITY NOTICE NOTICE: This message is intended for the use of the individual or entity to which it is addressed and may contain information that is confidential, privileged and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, you are hereby notified that any printing, copying, dissemination, distribution, disclosure or forwarding of this communication is strictly prohibited. If you have received this communication in error, please contact the sender immediately and delete it from your system. Thank You.
Re: HDFS federation configuration
Thanks Suresh. I followed the link it's clear now. But client side configuration is not covered on the doc. Thanks Regards, B Anil Kumar. On Thu, Jan 23, 2014 at 11:44 PM, Suresh Srinivas sur...@hortonworks.comwrote: Have you looked at - http://hadoop.apache.org/docs/r2.2.0/hadoop-project-dist/hadoop-hdfs/Federation.html ? On Thu, Jan 23, 2014 at 9:35 AM, AnilKumar B akumarb2...@gmail.comwrote: Hi, We tried setting up HDFS name node federation set up with 2 name nodes. I am facing few issues. Can any one help me in understanding below points? 1) how can we configure different namespaces to different name node? Where exactly we need to configure this? See the documentation. If it is not clear, please open a jira. 2) After formatting each NN with one cluster id, Do we need to set this cluster id in hdfs-site.xml? There is no need to set the cluster id in hdfs-site.xml 3) I am getting exception like, data dir already locked by one of the NN, But when don't specify data.dir, then it's not showing exception. So what could be the issue? Are you running the two namenode processes on the same machine? Thanks Regards, B Anil Kumar. -- http://hortonworks.com/download/ CONFIDENTIALITY NOTICE NOTICE: This message is intended for the use of the individual or entity to which it is addressed and may contain information that is confidential, privileged and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, you are hereby notified that any printing, copying, dissemination, distribution, disclosure or forwarding of this communication is strictly prohibited. If you have received this communication in error, please contact the sender immediately and delete it from your system. Thank You.
Re: Memory problems with BytesWritable and huge binary files
Is your data in any given file a bunch of key-value pairs? If that isn't the case, I'm wondering how writing a single large key-value into a sequence file helps. It won't. May be you can give an example of your input data? If indeed they are a bunch of smaller sized key-value pairs, you can write your own custom InputFormat that reads the data from your input files one k-v pair after another, and feed it to your MR job. There isn't any need for converting them to sequence-files at that point. Thanks +Vinod Hortonworks Inc. http://hortonworks.com/ -- CONFIDENTIALITY NOTICE NOTICE: This message is intended for the use of the individual or entity to which it is addressed and may contain information that is confidential, privileged and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, you are hereby notified that any printing, copying, dissemination, distribution, disclosure or forwarding of this communication is strictly prohibited. If you have received this communication in error, please contact the sender immediately and delete it from your system. Thank You.
Re: No space left on device during merge.
That's a lot of data to process for a single reducer. You should try increasing the number of reducers to achieve more parallelism and also try modifying your logic to avoid significant skew in the reducers. Unfortunately this means rethinking about your app, but that's the only way about it. It will also help you scale smoothly into the future if you have adjustable parallelism and more balanced data processing. +Vinod Hortonworks Inc. http://hortonworks.com/ On Fri, Jan 24, 2014 at 6:47 AM, Tim Potter t...@yahoo-inc.com wrote: Hi, I'm getting the below error while trying to sort a lot of data with Hadoop. I strongly suspect the node the merge is on is running out of local disk space. Assuming this is the case, is there any way to get around this limitation considering I can't increase the local disk space available on the nodes? Like specify sort/merge parameters or similar. Thanks, Tim. 2014-01-24 10:02:36,267 INFO [main] org.apache.hadoop.io.compress.CodecPool: Got brand-new decompressor [.lzo_deflate] 2014-01-24 10:02:36,280 INFO [main] org.apache.hadoop.mapred.Merger: Down to the last merge-pass, with 100 segments left of total size: 642610678884 bytes 2014-01-24 10:02:36,281 ERROR [main] org.apache.hadoop.security.UserGroupInformation: PriviledgedActionException as:XX (auth:XX) cause:org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in OnDiskMerger - Thread to merge on-disk map-outputs 2014-01-24 10:02:36,282 WARN [main] org.apache.hadoop.mapred.YarnChild: Exception running child : org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in OnDiskMerger - Thread to merge on-disk map-outputs at org.apache.hadoop.mapreduce.task.reduce.Shuffle.run(Shuffle.java:167) at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:371) at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:158) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:415) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1284) at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:153) Caused by: org.apache.hadoop.fs.FSError: java.io.IOException: No space left on device at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.write(RawLocalFileSystem.java:213) at java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82) at java.io.BufferedOutputStream.write(BufferedOutputStream.java:126) at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.write(FSDataOutputStream.java:54) at java.io.DataOutputStream.write(DataOutputStream.java:107) at org.apache.hadoop.mapred.IFileOutputStream.write(IFileOutputStream.java:88) at org.apache.hadoop.io.compress.BlockCompressorStream.compress(BlockCompressorStream.java:150) at org.apache.hadoop.io.compress.BlockCompressorStream.finish(BlockCompressorStream.java:140) at org.apache.hadoop.io.compress.BlockCompressorStream.write(BlockCompressorStream.java:99) at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.write(FSDataOutputStream.java:54) at java.io.DataOutputStream.write(DataOutputStream.java:107) at org.apache.hadoop.mapred.IFile$Writer.append(IFile.java:249) at org.apache.hadoop.mapred.Merger.writeFile(Merger.java:200) at org.apache.hadoop.mapreduce.task.reduce.MergeManager$OnDiskMerger.merge(MergeManager.java:572) at org.apache.hadoop.mapreduce.task.reduce.MergeThread.run(MergeThread.java:94) Caused by: java.io.IOException: No space left on device at java.io.FileOutputStream.writeBytes(Native Method) at java.io.FileOutputStream.write(FileOutputStream.java:318) at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.write(RawLocalFileSystem.java:211) ... 14 more 2014-01-24 10:02:36,284 INFO [main] org.apache.hadoop.mapred.Task: Runnning cleanup for the task -- CONFIDENTIALITY NOTICE NOTICE: This message is intended for the use of the individual or entity to which it is addressed and may contain information that is confidential, privileged and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, you are hereby notified that any printing, copying, dissemination, distribution, disclosure or forwarding of this communication is strictly prohibited. If you have received this communication in error, please contact the sender immediately and delete it from your system. Thank You.
Re: hdfs fsck -locations
hdfs fsck /user/mark/data/word_count.csv *-locations* On Fri, Jan 24, 2014 at 11:34 AM, Nascimento, Rodrigo rodrigo.nascime...@netapp.com wrote: I’m not seeing locations flag yet. *Rod Nascimento* *Systems Engineer @ Brazil* *People **don’t** buy **WHAT** you do. They buy **WHY** you do it.* *From:* Mark Kerzner [mailto:mark.kerz...@shmsoft.com] *Sent:* Friday, January 24, 2014 3:16 PM *To:* Hadoop User *Subject:* Re: hdfs fsck -locations Sorry, did not copy the full command hdfs fsck /user/mark/data/word_count.csv -locations Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 11:15:17 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated):1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks:0 (0.0 %) Mis-replicated blocks:0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 11:15:17 CST 2014 in 1 milliseconds The filesystem under path '/user/mark/data/word_count.csv' is HEALTHY On Fri, Jan 24, 2014 at 11:08 AM, Harsh J ha...@cloudera.com wrote: Sorry, but what was the question? I also do not see a locations option flag. On Jan 24, 2014 7:17 PM, Mark Kerzner mark.kerz...@shmsoft.com wrote: Here is an example hdfs fsck /user/mark/data/word_count.csv Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 07:45:24 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated): 1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks: 0 (0.0 %) Mis-replicated blocks: 0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 07:45:24 CST 2014 in 0 milliseconds On Fri, Jan 24, 2014 at 4:34 AM, Harsh J ha...@cloudera.com wrote: Hi Mark, Yes, the locations are shown as IP. On Fri, Jan 24, 2014 at 12:09 AM, Mark Kerzner mark.kerz...@shmsoft.com wrote: Hi, hdfs fsck -locations is supposed to show every block with its location? Is location the ip of the datanode? Thank you, Mark -- Harsh J
Re: Memory problems with BytesWritable and huge binary files
Is your data in any given file a bunch of key-value pairs? No. The content of each file itself is the value we are interested in, and I guess that it's filename is the key. If that isn't the case, I'm wondering how writing a single large key-value into a sequence file helps. It won't. May be you can give an example of your input data? Well from the Hadoop O'Reilly book, I rather got the impression that HDFS does not like small files due to it's 64MB block size, and it is instead recommended to place small files into a Sequence file. Is that not the case? Our input data really varies between 130 different file types, it could be Microsoft Office documents, Video Recordings, Audio, CAD diagrams etc. If indeed they are a bunch of smaller sized key-value pairs, you can write your own custom InputFormat that reads the data from your input files one k-v pair after another, and feed it to your MR job. There isn't any need for converting them to sequence-files at that point. As I mentioned in my initial email, each file cannot be split up! Thanks +Vinod Hortonworks Inc. http://hortonworks.com/ CONFIDENTIALITY NOTICE NOTICE: This message is intended for the use of the individual or entity to which it is addressed and may contain information that is confidential, privileged and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, you are hereby notified that any printing, copying, dissemination, distribution, disclosure or forwarding of this communication is strictly prohibited. If you have received this communication in error, please contact the sender immediately and delete it from your system. Thank You. -- Adam Retter skype: adam.retter tweet: adamretter http://www.adamretter.org.uk
Re: hdfs fsck -locations
Can you send me your output? hadoop version Hadoop 2.0.0-cdh4.5.0 Subversion git://ubuntu64-12-04-mk1/var/lib/jenkins/workspace/generic-package-ubuntu64-12-04/CDH4.5.0-Packaging-Hadoop-2013-11-20_14-31-53/hadoop-2.0.0+1518-1.cdh4.5.0.p0.24~precise/src/hadoop-common-project/hadoop-common -r 8e266e052e423af592871e2dfe09d54c03f6a0e8 Compiled by jenkins on Wed Nov 20 15:10:35 PST 2013 From source with checksum 9848b0f85b461913ed63fa19c2b79ccc This command was run using /usr/lib/hadoop/hadoop-common-2.0.0-cdh4.5.0.jar On Fri, Jan 24, 2014 at 3:14 PM, Nascimento, Rodrigo rodrigo.nascime...@netapp.com wrote: Mark, Did you see that your output is different from mine? which Is your hadoop versioks Rodrigo Nascimento Systems Engineer @ Brazil Mobile +55 11 991.873.810 Sent from my iPhone On 24/01/2014, at 18:31, Mark Kerzner mark.kerz...@shmsoft.com wrote: HI, Rodrigo, I am fine thank you :) Here is the _complete_ output mark@mark-7:~$ hdfs fsck /user/mark/data/word_count.csv -locations Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 14:30:23 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated): 1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks: 0 (0.0 %) Mis-replicated blocks: 0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 14:30:23 CST 2014 in 0 milliseconds The filesystem under path '/user/mark/data/word_count.csv' is HEALTHY mark@mark-7:~$ On Fri, Jan 24, 2014 at 1:35 PM, Nascimento, Rodrigo rodrigo.nascime...@netapp.com wrote: Hi Mark, How are you? at your output from word_count.csv, the portion related to the nlock locations is missing. This is the reason why I told you in my previous message that I'm not seeing locations yet. please, take a look at my last e-mail. All the best, Rodrigo Nascimento Systems Engineer @ Brazil Sent from my iPhone On 24/01/2014, at 16:40, Mark Kerzner mark.kerz...@shmsoft.com wrote: hdfs fsck /user/mark/data/word_count.csv *-locations* On Fri, Jan 24, 2014 at 11:34 AM, Nascimento, Rodrigo rodrigo.nascime...@netapp.com wrote: I’m not seeing locations flag yet. *Rod Nascimento* *Systems Engineer @ Brazil* *People **don’t** buy **WHAT** you do. They buy **WHY** you do it.* *From:* Mark Kerzner [mailto:mark.kerz...@shmsoft.com] *Sent:* Friday, January 24, 2014 3:16 PM *To:* Hadoop User *Subject:* Re: hdfs fsck -locations Sorry, did not copy the full command hdfs fsck /user/mark/data/word_count.csv -locations Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 11:15:17 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated):1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks:0 (0.0 %) Mis-replicated blocks:0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 11:15:17 CST 2014 in 1 milliseconds The filesystem under path '/user/mark/data/word_count.csv' is HEALTHY On Fri, Jan 24, 2014 at 11:08 AM, Harsh J ha...@cloudera.com wrote: Sorry, but what was the question? I also do not see a locations option flag. On Jan 24, 2014 7:17 PM, Mark Kerzner mark.kerz...@shmsoft.com wrote: Here is an example hdfs fsck /user/mark/data/word_count.csv Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 07:45:24 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated): 1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks: 0 (0.0 %) Mis-replicated blocks: 0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 07:45:24 CST 2014 in 0 milliseconds On Fri, Jan 24, 2014 at 4:34 AM, Harsh J ha...@cloudera.com wrote: Hi Mark, Yes, the locations are shown as IP. On Fri, Jan 24, 2014 at 12:09 AM, Mark Kerzner mark.kerz...@shmsoft.com wrote:
Re: hdfs fsck -locations
Yes, Rodrigo, that's what I was looking for. So in my install I somehow don't have it at all. Was asked by my students, so I got the answer. Mark On Fri, Jan 24, 2014 at 4:00 PM, Nascimento, Rodrigo rodrigo.nascime...@netapp.com wrote: Mark, there we go ;-) Rodrigo Nascimento Systems Engineer @ Brazil Mobile +55 11 991.873.810 Sent from my iPhone Begin forwarded message: *From:* Nascimento, Rodrigo rodrigo.nascime...@netapp.com *Date:* 24 de janeiro de 2014 15:59:33 BRST *To:* user@hadoop.apache.org user@hadoop.apache.org *Subject:* *RE: hdfs fsck -locations* Hi Mark, It is a sample from my sandbox. Your question is about the part that is in RED at the output below, right? [root@sandbox ~]# hdfs fsck /user/ambari-qa/passwd -locations Connecting to namenode via http://sandbox.hortonworks.com:50070 FSCK started by root (auth:SIMPLE) from /172.16.13.30 for path /user/ambari-qa/passwd at Fri Jan 24 09:53:43 PST 2014 . */user/ambari-qa/passwd: Under replicated BP-1578958328-10.0.2.15-1382306880516:blk_1073742464_1640. Target Replicas is 3 but found 1 replica(s).* Status: HEALTHY Total size:1708 B Total dirs:0 Total files:1 Total symlinks:0 Total blocks (validated):1 (avg. block size 1708 B) Minimally replicated blocks:1 (100.0 %) Over-replicated blocks:0 (0.0 %) Under-replicated blocks:1 (100.0 %) Mis-replicated blocks:0 (0.0 %) Default replication factor:3 Average block replication:1.0 Corrupt blocks:0 Missing replicas:2 (66.64 %) Number of data-nodes:1 Number of racks:1 FSCK ended at Fri Jan 24 09:53:43 PST 2014 in 1 milliseconds The filesystem under path '/user/ambari-qa/passwd' is HEALTHY [root@sandbox ~]# Rod Nascimento -- *From:* Nascimento, Rodrigo [rodrigo.nascime...@netapp.com] *Sent:* Friday, January 24, 2014 3:34 PM *To:* user@hadoop.apache.org *Subject:* RE: hdfs fsck -locations I’m not seeing locations flag yet. *Rod Nascimento* *Systems Engineer @ Brazil* *People **don’t** buy **WHAT** you do. They buy **WHY** you do it.* *From:* Mark Kerzner [mailto:mark.kerz...@shmsoft.commark.kerz...@shmsoft.com] *Sent:* Friday, January 24, 2014 3:16 PM *To:* Hadoop User *Subject:* Re: hdfs fsck -locations Sorry, did not copy the full command hdfs fsck /user/mark/data/word_count.csv -locations Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 11:15:17 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated):1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks:0 (0.0 %) Mis-replicated blocks:0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 11:15:17 CST 2014 in 1 milliseconds The filesystem under path '/user/mark/data/word_count.csv' is HEALTHY On Fri, Jan 24, 2014 at 11:08 AM, Harsh J ha...@cloudera.com wrote: Sorry, but what was the question? I also do not see a locations option flag. On Jan 24, 2014 7:17 PM, Mark Kerzner mark.kerz...@shmsoft.com wrote: Here is an example hdfs fsck /user/mark/data/word_count.csv Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 07:45:24 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated): 1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks: 0 (0.0 %) Mis-replicated blocks: 0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 07:45:24 CST 2014 in 0 milliseconds On Fri, Jan 24, 2014 at 4:34 AM, Harsh J ha...@cloudera.com wrote: Hi Mark, Yes, the locations are shown as IP. On Fri, Jan 24, 2014 at 12:09 AM, Mark Kerzner mark.kerz...@shmsoft.com wrote: Hi, hdfs fsck -locations is supposed to show every block with its location? Is location the ip of the datanode? Thank you, Mark -- Harsh J
Re: Memory problems with BytesWritable and huge binary files
Okay. Assuming you don't need a whole file (video) in memory for your processing, you can simply write a Inputformat/RecordReader implementation that streams through any given file and processes it. +Vinod On Jan 24, 2014, at 12:44 PM, Adam Retter adam.ret...@googlemail.com wrote: Is your data in any given file a bunch of key-value pairs? No. The content of each file itself is the value we are interested in, and I guess that it's filename is the key. If that isn't the case, I'm wondering how writing a single large key-value into a sequence file helps. It won't. May be you can give an example of your input data? Well from the Hadoop O'Reilly book, I rather got the impression that HDFS does not like small files due to it's 64MB block size, and it is instead recommended to place small files into a Sequence file. Is that not the case? Our input data really varies between 130 different file types, it could be Microsoft Office documents, Video Recordings, Audio, CAD diagrams etc. If indeed they are a bunch of smaller sized key-value pairs, you can write your own custom InputFormat that reads the data from your input files one k-v pair after another, and feed it to your MR job. There isn't any need for converting them to sequence-files at that point. As I mentioned in my initial email, each file cannot be split up! Thanks +Vinod Hortonworks Inc. http://hortonworks.com/ CONFIDENTIALITY NOTICE NOTICE: This message is intended for the use of the individual or entity to which it is addressed and may contain information that is confidential, privileged and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, you are hereby notified that any printing, copying, dissemination, distribution, disclosure or forwarding of this communication is strictly prohibited. If you have received this communication in error, please contact the sender immediately and delete it from your system. Thank You. -- Adam Retter skype: adam.retter tweet: adamretter http://www.adamretter.org.uk -- CONFIDENTIALITY NOTICE NOTICE: This message is intended for the use of the individual or entity to which it is addressed and may contain information that is confidential, privileged and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, you are hereby notified that any printing, copying, dissemination, distribution, disclosure or forwarding of this communication is strictly prohibited. If you have received this communication in error, please contact the sender immediately and delete it from your system. Thank You.
Re: Memory problems with BytesWritable and huge binary files
So I am not sure I follow you, as we already have a custom InputFormat and RecordReader and that does not seem to help. The reason it does not seem to help is that it needs to return the data as a Writable so that the Writable can then be used in the following map operation. The map operation needs access to the entire file. The only way to do this in Hadoop by default is to use BytesWritable, but that places everything in memory. What am I missing? On 24 January 2014 22:42, Vinod Kumar Vavilapalli vino...@hortonworks.com wrote: Okay. Assuming you don't need a whole file (video) in memory for your processing, you can simply write a Inputformat/RecordReader implementation that streams through any given file and processes it. +Vinod On Jan 24, 2014, at 12:44 PM, Adam Retter adam.ret...@googlemail.com wrote: Is your data in any given file a bunch of key-value pairs? No. The content of each file itself is the value we are interested in, and I guess that it's filename is the key. If that isn't the case, I'm wondering how writing a single large key-value into a sequence file helps. It won't. May be you can give an example of your input data? Well from the Hadoop O'Reilly book, I rather got the impression that HDFS does not like small files due to it's 64MB block size, and it is instead recommended to place small files into a Sequence file. Is that not the case? Our input data really varies between 130 different file types, it could be Microsoft Office documents, Video Recordings, Audio, CAD diagrams etc. If indeed they are a bunch of smaller sized key-value pairs, you can write your own custom InputFormat that reads the data from your input files one k-v pair after another, and feed it to your MR job. There isn't any need for converting them to sequence-files at that point. As I mentioned in my initial email, each file cannot be split up! Thanks +Vinod Hortonworks Inc. http://hortonworks.com/ CONFIDENTIALITY NOTICE NOTICE: This message is intended for the use of the individual or entity to which it is addressed and may contain information that is confidential, privileged and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, you are hereby notified that any printing, copying, dissemination, distribution, disclosure or forwarding of this communication is strictly prohibited. If you have received this communication in error, please contact the sender immediately and delete it from your system. Thank You. -- Adam Retter skype: adam.retter tweet: adamretter http://www.adamretter.org.uk -- CONFIDENTIALITY NOTICE NOTICE: This message is intended for the use of the individual or entity to which it is addressed and may contain information that is confidential, privileged and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, you are hereby notified that any printing, copying, dissemination, distribution, disclosure or forwarding of this communication is strictly prohibited. If you have received this communication in error, please contact the sender immediately and delete it from your system. Thank You. -- Adam Retter skype: adam.retter tweet: adamretter http://www.adamretter.org.uk
HIVE versus SQL DB
Hi, I am in a project that has three databases with flat files. Our plan is to normalize these DB in one. We will need to follow the Data warehouse concept (ETL - Extraction, Transform, Load). We are thinking to use Hadoop at the Transform step, because we need to relate datas from the three databases. Do you think this is a good option? Is there any tutorial/article about it? We are also thinking to use HIVE to Extract the files, insert it on Hadoop and use HIVE to query these datas. At this step we are going to eliminate blank spaces, duplicate datas, transform a name register to an ID. What are yours experience about this? Thanks a lot for any contribution! Felipe -- * Felipe Oliveira Gutierrez-- felipe.o.gutier...@gmail.com felipe.o.gutier...@gmail.com-- https://sites.google.com/site/lipe82/Home/diaadia https://sites.google.com/site/lipe82/Home/diaadia*
Re: hdfs fsck -locations
The right syntax is to use -files -blocks -locations, so it drills down all the way. You are not missing a feature - this has existed for as long as I've known HDFS. In Rodrigo's output, he's seeing a BlockPool ID, which is not equivalent to a location, but just carries an IP in it for identification purposes. On Sat, Jan 25, 2014 at 3:53 AM, Mark Kerzner mark.kerz...@shmsoft.com wrote: Yes, Rodrigo, that's what I was looking for. So in my install I somehow don't have it at all. Was asked by my students, so I got the answer. Mark On Fri, Jan 24, 2014 at 4:00 PM, Nascimento, Rodrigo rodrigo.nascime...@netapp.com wrote: Mark, there we go ;-) Rodrigo Nascimento Systems Engineer @ Brazil Mobile +55 11 991.873.810 Sent from my iPhone Begin forwarded message: From: Nascimento, Rodrigo rodrigo.nascime...@netapp.com Date: 24 de janeiro de 2014 15:59:33 BRST To: user@hadoop.apache.org user@hadoop.apache.org Subject: RE: hdfs fsck -locations Hi Mark, It is a sample from my sandbox. Your question is about the part that is in RED at the output below, right? [root@sandbox ~]# hdfs fsck /user/ambari-qa/passwd -locations Connecting to namenode via http://sandbox.hortonworks.com:50070 FSCK started by root (auth:SIMPLE) from /172.16.13.30 for path /user/ambari-qa/passwd at Fri Jan 24 09:53:43 PST 2014 . /user/ambari-qa/passwd: Under replicated BP-1578958328-10.0.2.15-1382306880516:blk_1073742464_1640. Target Replicas is 3 but found 1 replica(s). Status: HEALTHY Total size:1708 B Total dirs:0 Total files:1 Total symlinks:0 Total blocks (validated):1 (avg. block size 1708 B) Minimally replicated blocks:1 (100.0 %) Over-replicated blocks:0 (0.0 %) Under-replicated blocks:1 (100.0 %) Mis-replicated blocks:0 (0.0 %) Default replication factor:3 Average block replication:1.0 Corrupt blocks:0 Missing replicas:2 (66.64 %) Number of data-nodes:1 Number of racks:1 FSCK ended at Fri Jan 24 09:53:43 PST 2014 in 1 milliseconds The filesystem under path '/user/ambari-qa/passwd' is HEALTHY [root@sandbox ~]# Rod Nascimento From: Nascimento, Rodrigo [rodrigo.nascime...@netapp.com] Sent: Friday, January 24, 2014 3:34 PM To: user@hadoop.apache.org Subject: RE: hdfs fsck -locations I’m not seeing locations flag yet. Rod Nascimento Systems Engineer @ Brazil People don’t buy WHAT you do. They buy WHY you do it. From: Mark Kerzner [mailto:mark.kerz...@shmsoft.com] Sent: Friday, January 24, 2014 3:16 PM To: Hadoop User Subject: Re: hdfs fsck -locations Sorry, did not copy the full command hdfs fsck /user/mark/data/word_count.csv -locations Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 11:15:17 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated):1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks:0 (0.0 %) Mis-replicated blocks:0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 11:15:17 CST 2014 in 1 milliseconds The filesystem under path '/user/mark/data/word_count.csv' is HEALTHY On Fri, Jan 24, 2014 at 11:08 AM, Harsh J ha...@cloudera.com wrote: Sorry, but what was the question? I also do not see a locations option flag. On Jan 24, 2014 7:17 PM, Mark Kerzner mark.kerz...@shmsoft.com wrote: Here is an example hdfs fsck /user/mark/data/word_count.csv Connecting to namenode via http://mark-7:50070 FSCK started by mark (auth:SIMPLE) from /192.168.1.232 for path /user/mark/data/word_count.csv at Fri Jan 24 07:45:24 CST 2014 .Status: HEALTHY Total size: 7217 B Total dirs: 0 Total files: 1 Total blocks (validated): 1 (avg. block size 7217 B) Minimally replicated blocks: 1 (100.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks: 0 (0.0 %) Mis-replicated blocks: 0 (0.0 %) Default replication factor: 1 Average block replication: 1.0 Corrupt blocks: 0 Missing replicas: 0 (0.0 %) Number of data-nodes: 1 Number of racks: 1 FSCK ended at Fri Jan 24 07:45:24 CST 2014 in 0 milliseconds On Fri, Jan 24, 2014 at 4:34 AM, Harsh J ha...@cloudera.com wrote: Hi Mark, Yes, the locations are shown as IP. On Fri, Jan 24, 2014 at 12:09 AM, Mark Kerzner mark.kerz...@shmsoft.com wrote: Hi, hdfs fsck -locations is supposed to show every block with its location? Is
Spoofing Ganglia Metrics
Is there a way to configure hdfs/hbase/mapreduce to spoof the ganglia metrics being sent? This is because the machines are behind a NAT and the monitoring box is outside, so all the metrics are recognized as coming from the same machine. Thanks!
Re: Fw: Hadoop 2 Namenode HA not working properly
Hi Bruno, ha.zookeeper.quorum is a property in core-site and you have it in hdfs-site, maybe it's your problem. 2014/1/24 Bruno Andrade b...@eurotux.com Begin forwarded message: Date: Tue, 21 Jan 2014 09:35:23 + From: Bruno Andrade b...@eurotux.com To: user@hadoop.apache.org Subject: Re: Hadoop 2 Namenode HA not working properly Hey, this is my hdfs-site.xml - http://pastebin.com/qpELkwH8 this is my core-site.xml: configuration property namefs.defaultFS/name valuehdfs://blabla-hadoop/value /property property namehadoop.tmp.dir/name value/opt/hadoop/hadoop/tmp/value /property /configuration I kill only the namenode process and nothing happen, then I killed zkfc process and the transition happend, the second namenode become active. Thanks. On 01/20/2014 06:44 PM, Jing Zhao wrote: Hi Bruno, Could you post your configuration? Also, when you killed one of the NN, you mean only killing the NN process or you shutdown the whole machine? Thanks, -Jing On Mon, Jan 20, 2014 at 4:11 AM, Bruno Andrade b...@eurotux.com wrote: Hey, I have configured a Hadoop v2.2.0 cluster with QJM and Zookeeper for HA and automatic failover. But I'm having a problem. If I test the automatic failover, by killing one of the namenodes, nothing happens. But if I kill the zkfc of that namenode, then zookeeper elects the other namenode as active. What can it be the problem? Thanks. -- Bruno Andrade b...@eurotux.com Programador (ID) Eurotux Informática, S.A. | www.eurotux.com (t) +351 253 680 300 (m) +351 936 293 858 -- Bruno Andrade b...@eurotux.com Programador (ID) Eurotux Informática, S.A. | www.eurotux.com (t) +351 253 680 300 (m) +351 936 293 858 -- Bruno Andrade b...@eurotux.com Programador (ID) Eurotux Informática, S.A. | www.eurotux.com (t) +351 253 680 300 (m) +351 936 293 858
Re: Datanode Shutting down automatically
You reformatted your NameNode at some point, but likely failed to also clear out the DN data directories, which would not auto-wipe themselves. Clear the contents of /app/hadoop/tmp/dfs/data at the DN and it should start up the next time you invoke it. P.s. Please do not email gene...@hadoop.apache.org with any user questions. It exists for project level discussions and announcements. On Sat, Jan 25, 2014 at 11:15 AM, Pranav Gadekar ppgadekar...@gmail.com wrote: This is my log file. 014-01-24 17:24:58,238 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: STARTUP_MSG: / STARTUP_MSG: Starting DataNode STARTUP_MSG: host = user/127.0.1.1 STARTUP_MSG: args = [] STARTUP_MSG: version = 1.2.1 STARTUP_MSG: build = https://svn.apache.org/repos/asf/hadoop/common/branches/branch-1.2 -r 1503152; compiled by 'mattf' on Mon Jul 22 15:23:09 PDT 2013 STARTUP_MSG: java = 1.6.0_27 / 2014-01-24 17:24:58,622 INFO org.apache.hadoop.metrics2.impl.MetricsConfig: loaded properties from hadoop-metrics2.properties 2014-01-24 17:24:58,669 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source MetricsSystem,sub=Stats registered. 2014-01-24 17:24:58,670 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl: Scheduled snapshot period at 10 second(s). 2014-01-24 17:24:58,670 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl: DataNode metrics system started 2014-01-24 17:24:58,877 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source ugi registered. 2014-01-24 17:24:58,880 WARN org.apache.hadoop.metrics2.impl.MetricsSystemImpl: Source name ugi already exists! 2014-01-24 17:25:10,778 ERROR org.apache.hadoop.hdfs.server.datanode.DataNode: java.io.IOException: Incompatible namespaceIDs in /app/hadoop/tmp/dfs/data: namenode namespaceID = 102782159; datanode namespaceID = 1227483104 at org.apache.hadoop.hdfs.server.datanode.DataStorage.doTransition(DataStorage.java:232) at org.apache.hadoop.hdfs.server.datanode.DataStorage.recoverTransitionRead(DataStorage.java:147) at org.apache.hadoop.hdfs.server.datanode.DataNode.startDataNode(DataNode.java:414) at org.apache.hadoop.hdfs.server.datanode.DataNode.init(DataNode.java:321) at org.apache.hadoop.hdfs.server.datanode.DataNode.makeInstance(DataNode.java:1712) at org.apache.hadoop.hdfs.server.datanode.DataNode.instantiateDataNode(DataNode.java:1651) at org.apache.hadoop.hdfs.server.datanode.DataNode.createDataNode(DataNode.java:1669) at org.apache.hadoop.hdfs.server.datanode.DataNode.secureMain(DataNode.java:1795) at org.apache.hadoop.hdfs.server.datanode.DataNode.main(DataNode.java:1812) 2014-01-24 17:25:10,779 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: SHUTDOWN_MSG: / SHUTDOWN_MSG: Shutting down DataNode at user/127.0.1.1 / 2014-01-24 17:26:13,413 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: STARTUP_MSG: / STARTUP_MSG: Starting DataNode STARTUP_MSG: host = user/127.0.1.1 STARTUP_MSG: args = [] STARTUP_MSG: version = 1.2.1 STARTUP_MSG: build = https://svn.apache.org/repos/asf/hadoop/common/branches/branch-1.2 -r 1503152; compiled by 'mattf' on Mon Jul 22 15:23:09 PDT 2013 STARTUP_MSG: java = 1.6.0_27 / 2014-01-24 17:26:13,510 INFO org.apache.hadoop.metrics2.impl.MetricsConfig: loaded properties from hadoop-metrics2.properties 2014-01-24 17:26:13,518 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source MetricsSystem,sub=Stats registered. 2014-01-24 17:26:13,518 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl: Scheduled snapshot period at 10 second(s). 2014-01-24 17:26:13,518 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl: DataNode metrics system started 2014-01-24 17:26:13,626 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source ugi registered. 2014-01-24 17:26:13,628 WARN org.apache.hadoop.metrics2.impl.MetricsSystemImpl: Source name ugi already exists! 2014-01-24 17:26:28,860 ERROR org.apache.hadoop.hdfs.server.datanode.DataNode: java.io.IOException: Incompatible namespaceIDs in /app/hadoop/tmp/dfs/data: namenode namespaceID = 102782159; datanode namespaceID = 1227483104 at org.apache.hadoop.hdfs.server.datanode.DataStorage.doTransition(DataStorage.java:232) at org.apache.hadoop.hdfs.server.datanode.DataStorage.recoverTransitionRead(DataStorage.java:147) at org.apache.hadoop.hdfs.server.datanode.DataNode.startDataNode(DataNode.java:414) at org.apache.hadoop.hdfs.server.datanode.DataNode.init(DataNode.java:321) at
Re: Datanode Shutting down automatically
Incompatible name space Id error.its because dat u might have formatted the namenode but data nodes folder is still have the same I'd. What is the value of the following property dfs. Data.dir dfs. name.dir hadoop.tmp.dir The value of these properties is directory on local file system Solution is to open the version file of the name node (under dfs/name/current folder) you will see the first line as name space Id, copy that and then open version file of datanode which is not coming up (dfs/data/ current folder) you copy name space Id. Now start the data node process A dirty hack is to delete the folders(directories specified by the above properties) from all the machines and den format ur name node and start ur process. Please note dat the previous data will be lost On 25 Jan 2014 11:55, Pranav Gadekar ppgadekar...@gmail.com wrote: This is my log file. 014-01-24 17:24:58,238 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: STARTUP_MSG: / STARTUP_MSG: Starting DataNode STARTUP_MSG: host = user/127.0.1.1 STARTUP_MSG: args = [] STARTUP_MSG: version = 1.2.1 STARTUP_MSG: build = https://svn.apache.org/repos/asf/hadoop/common/branches/branch-1.2 -r 1503152; compiled by 'mattf' on Mon Jul 22 15:23:09 PDT 2013 STARTUP_MSG: java = 1.6.0_27 / 2014-01-24 17:24:58,622 INFO org.apache.hadoop.metrics2.impl.MetricsConfig: loaded properties from hadoop-metrics2.properties 2014-01-24 17:24:58,669 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source MetricsSystem,sub=Stats registered. 2014-01-24 17:24:58,670 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl: Scheduled snapshot period at 10 second(s). 2014-01-24 17:24:58,670 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl: DataNode metrics system started 2014-01-24 17:24:58,877 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source ugi registered. 2014-01-24 17:24:58,880 WARN org.apache.hadoop.metrics2.impl.MetricsSystemImpl: Source name ugi already exists! 2014-01-24 17:25:10,778 ERROR org.apache.hadoop.hdfs.server.datanode.DataNode: java.io.IOException: Incompatible namespaceIDs in /app/hadoop/tmp/dfs/data: namenode namespaceID = 102782159; datanode namespaceID = 1227483104 at org.apache.hadoop.hdfs.server.datanode.DataStorage.doTransition(DataStorage.java:232) at org.apache.hadoop.hdfs.server.datanode.DataStorage.recoverTransitionRead(DataStorage.java:147) at org.apache.hadoop.hdfs.server.datanode.DataNode.startDataNode(DataNode.java:414) at org.apache.hadoop.hdfs.server.datanode.DataNode.init(DataNode.java:321) at org.apache.hadoop.hdfs.server.datanode.DataNode.makeInstance(DataNode.java:1712) at org.apache.hadoop.hdfs.server.datanode.DataNode.instantiateDataNode(DataNode.java:1651) at org.apache.hadoop.hdfs.server.datanode.DataNode.createDataNode(DataNode.java:1669) at org.apache.hadoop.hdfs.server.datanode.DataNode.secureMain(DataNode.java:1795) at org.apache.hadoop.hdfs.server.datanode.DataNode.main(DataNode.java:1812) 2014-01-24 17:25:10,779 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: SHUTDOWN_MSG: / SHUTDOWN_MSG: Shutting down DataNode at user/127.0.1.1 / 2014-01-24 17:26:13,413 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: STARTUP_MSG: / STARTUP_MSG: Starting DataNode STARTUP_MSG: host = user/127.0.1.1 STARTUP_MSG: args = [] STARTUP_MSG: version = 1.2.1 STARTUP_MSG: build = https://svn.apache.org/repos/asf/hadoop/common/branches/branch-1.2 -r 1503152; compiled by 'mattf' on Mon Jul 22 15:23:09 PDT 2013 STARTUP_MSG: java = 1.6.0_27 / 2014-01-24 17:26:13,510 INFO org.apache.hadoop.metrics2.impl.MetricsConfig: loaded properties from hadoop-metrics2.properties 2014-01-24 17:26:13,518 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source MetricsSystem,sub=Stats registered. 2014-01-24 17:26:13,518 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl: Scheduled snapshot period at 10 second(s). 2014-01-24 17:26:13,518 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl: DataNode metrics system started 2014-01-24 17:26:13,626 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source ugi registered. 2014-01-24 17:26:13,628 WARN org.apache.hadoop.metrics2.impl.MetricsSystemImpl: Source name ugi already exists! 2014-01-24 17:26:28,860 ERROR org.apache.hadoop.hdfs.server.datanode.DataNode: java.io.IOException: Incompatible namespaceIDs in /app/hadoop/tmp/dfs/data: namenode namespaceID = 102782159; datanode namespaceID = 1227483104 at
