Invalid UTF-8 start byte 0xa0 (at char #720, byte #37) - hadoop

I have installed hadoop-3.3.4 in Ubuntu 22.04.1 virtual machine using virtual box 7. I have configured the core-site.xml. But, it cannot run the format of namenode.
The code for core-site.xml is stipulated below
<configuration>
<property>
     <name>fs.defaultFS</name>
     <value>hdfs://localhost:9000</value>
  </property>
</configuration>
But, the error is happened:
2023-01-15 21:39:44,393 ERROR conf.Configuration: error parsing conf core-site.xml
com.ctc.wstx.exc.WstxIOException: Invalid UTF-8 start byte 0xa0 (at char #719, byte #37).
I wonder there is a bug in hadoop-3.3.4.

Related

No datanode running in hadoop 2.9.2

I'm very new to hadoop, so I've started following the hadoop 2.9.2 getting started. When I run the command
bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.9.2.jar grep input output 'dfs[a-z.]+'
it returns a success, but when I look at the output/part-r-00000.txt file, which is meant to show the result, it is empty, even though the input directory contains the .xml files of etc/hadoop as it is supposed to.
I've started the whole process over and over again, reading all the logs, in order to understand where the error might be. Anyway, when I run the bin/hdfs namenode -format, it shows me this error:
ERROR common.Util: Syntax error in URI file://path to temp_directory/dfs/name. Please check hdfs configuration.
java.net.URISyntaxException: Illegal character in authority at index 7: file://path to temp_directory/dfs/name
at java.base/java.net.URI$Parser.fail(URI.java:2915)
at java.base/java.net.URI$Parser.parseAuthority(URI.java:3249)
at java.base/java.net.URI$Parser.parseHierarchical(URI.java:3160)
at java.base/java.net.URI$Parser.parse(URI.java:3116)
at java.base/java.net.URI.<init>(URI.java:600)
at org.apache.hadoop.hdfs.server.common.Util.stringAsURI(Util.java:49)
at org.apache.hadoop.hdfs.server.common.Util.stringCollectionAsURIs(Util.java:99)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getStorageDirs(FSNamesystem.java:1466)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getNamespaceEditsDirs(FSNamesystem.java:1511)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getNamespaceEditsDirs(FSNamesystem.java:1480)
at org.apache.hadoop.hdfs.server.namenode.NameNode.format(NameNode.java:1137)
at org.apache.hadoop.hdfs.server.namenode.NameNode.createNameNode(NameNode.java:1614)
at org.apache.hadoop.hdfs.server.namenode.NameNode.main(NameNode.java:1741)
and also this occurs when I run bin/hdfs dfs -put etc/hadoop input:
WARN hdfs.DataStreamer: DataStreamer Exception
org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /user/federico/input/hadoop/capacity-scheduler.xml._COPYING_ could only be replicated to 0 nodes instead of minReplication (=1). There are 0 datanode(s) running and no node(s) are excluded in this operation.
it seems pretty clear that there are no datanodes running. So, assumed this situation, how can I initialize a datanode to make things work, and how do I know if my datanode is running as it is expected to?
EDIT: I've tried to follow some suggestion fro different users experiencing a similar problem and tihs error came out:
WARN org.apache.hadoop.hdfs.server.datanode.checker.StorageLocationChecker: Exception checking StorageLocation [DISK]file:/dfs/data
java.io.FileNotFoundException: File file:/dfs/data does not exist
and thus the datanode creation fails. How do I deal with it?
Please update you hdfs-site.xml as follows where dfs.datanode.data.dir value should be set as per your expectations. You can find this file in /etc/hadoop under Hadoop installation directory.
<configuration>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>/Users/myname/data/hdfs/data</value>
</property>
</configuration>
Use similar paths for linux as /home/myname/data/hdfs/data

org.apache.hadoop.ipc.RpcException: RPC response exceeds maximum data length

I have set up hadoop cluster on 2 machines.
One machine has both master and slave-1.
2nd machine has slave-2.
When I started the cluster with start-all.sh, I got following error in secondarynamenode's .out file:
java.io.IOException: Failed on local exception: org.apache.hadoop.ipc.RpcException: RPC response exceeds maximum data length; Host Details : local host is: "ip-10-179-185-169/10.179.185.169"; destination host is: "hadoop-master":9000;
Following is my JPS output
98366 Jps
96704 DataNode
97284 NodeManager
97148 ResourceManager
96919 SecondaryNameNode
Can someone help me tackle this error ?
I also had this problem.
Please check core-site.xml
(this should be under the dir where you downloaded Hadoop, for me the path is: /home/algo/hadoop/etc/hadoop/core-site.xml)
The file should look like this:
<configuration>
<property>
<name>hadoop.tmp.dir</name>
<value>/home/algo/hdfs/tmp</value>
</property>
<property>
<name>fs.default.name</name>
<value>hdfs://localhost:9000</value>
</property>
</configuration>
Solution: using hdfs://localhost:9000 as ip:port.
Might be a problem with the port number you are using. Try this : https://stackoverflow.com/a/60701948/8504709

hadoop Protocol message tag had invalid wire type

I Set up hadoop 2.6 cluster using two nodes of 8 cores each on Ubuntu 12.04. sbin/start-dfs.sh and sbin/start-yarn.sh both succeed. And I can see the following after jps on the master node.
22437 DataNode
22988 ResourceManager
24668 Jps
22748 SecondaryNameNode
23244 NodeManager
The jps outcome on the slave node is
19693 DataNode
19966 NodeManager
I then run the PI example.
bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.jar pi 30 100
Which gives me there error-log
java.io.IOException: Failed on local exception: com.google.protobuf.InvalidProtocolBufferException: Protocol message tag had invalid wire type.; Host Details : local host is: "Master-R5-Node/xxx.ww.y.zz"; destination host is: "Master-R5-Node":54310;
at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:772)
at org.apache.hadoop.ipc.Client.call(Client.java:1472)
at org.apache.hadoop.ipc.Client.call(Client.java:1399)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:232)
at com.sun.proxy.$Proxy9.getFileInfo(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getFileInfo(ClientNamenodeProtocolTranslatorPB.java:752)
The problem seems with the HDFS file system since trying out the command bin/hdfs dfs -mkdir /user fails with the similar exception.
java.io.IOException: Failed on local exception: com.google.protobuf.InvalidProtocolBufferException: Protocol message tag had invalid wire type.; Host Details : local host is: "Master-R5-Node/xxx.ww.y.zz"; destination host is: "Master-R5-Node":54310;
where xxx.ww.y.zz is the ip-address of Master-R5-Node
I have checked and followed all the recommendations of ConnectionRefused on Apache and on this site.
Despite the week long effort, I cannot get it fixed.
Thanks.
There are so many reasons to what may lead to the problem I faced. But I finally ended up fixing it using some of the following things.
Make sure that you have the needed permission to the /hadoop and hdfs temporary files. (you have to figure out where that is for your paticular case)
remove the port number from fs.defaultFS in $HADOOP_CONF_DIR/core-site.xml. It should look like this:
`<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://my.master.ip.address/</value>
<description>NameNode URI</description>
</property>
</configuration>`
Add the following two properties to `$HADOOP_CONF_DIR/hdfs-site.xml
<property>
<name>dfs.datanode.use.datanode.hostname</name>
<value>false</value>
</property>
<property>
<name>dfs.namenode.datanode.registration.ip-hostname-check</name>
<value>false</value>
</property>
Voila! You should now be up and running!

Namenode stops working after hadoop restart

I have a server with Hadoop installed on.
I wanted to change some configuration (about the mapreduce.map.output.compress); therefore, I changed the configuration file, and I restarted Hadoop, with:
stop-all.sh
start-all.sh
After that, I was not able to use it again, becouse it was in Safe Mode:
The reported blocks is only 0 but the threshold is 0.9990 and the total blocks 11313. Safe mode will be turned off automatically.
Please, notice that the number of reported blocks is 0, and it was not increasing at all.
Therefore, I forced it to leave the Safe Mode with:
bin/hadoop dfsadmin -safemode leave
Now, I get errors like this:
2014-03-09 18:16:40,586 [Thread-1] ERROR org.apache.hadoop.hdfs.DFSClient - Failed to close file /tmp/temp-39739076/tmp2073328134/GQL.jar
org.apache.hadoop.ipc.RemoteException: java.io.IOException: File /tmp/temp-39739076/tmp2073328134/GQL.jar could only be replicated to 0 nodes, instead of 1
If it helps, my hdfs-site.xml is:
<configuration>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
<property>
<name>dfs.name.dir</name>
<value>/home/hduser/hadoop/name/data</value>
</property>
</configuration>
I've run into this problem many times. Whenever you get the error stating x could only be replicated to 0 nodes, instead of 1, the following steps should fix the problem:
Stop all Hadoop services with: stop-all.sh
Delete the dfs/name and dfs/data directories
Format the NameNode with: hadoop namenode -format
Start Hadoop again with: start-all.sh

Installing Hadoop on NFS

As a start, I've installed Hadoop (0.15.2) and setup a cluster of 3 nodes: one each for NameNode, DataNode and the JobTracker. All the daemons are up and running. But when I issue any command I get the above error. For instance, when I do a copyFromLocal, I get the following error:
Am I missing something?
More details:
I am trying to install Hadoop on an NFS file system. I've installed 1.0.4 version and tried running it but to of no avail. The 1.0.4 version doesn't start the datanode. And the log files for the datanode are empty. Hence I switched back to 0.15 version which started all the daemons atleast.
I believe the problem is due to the underlying NFS file system i.e. all the datanodes and masters using the same files and folders. But I am not sure if that is actually the case.
But I don't see any reason why I shouldn't be able to run Hadoop on NFS (after appropriately setting the configuration parameters).
Currently I am trying and figuring out if I could set the name and data directories differently for different machines based on the individual machine names.
Configuration file: (hadoop-site.xml)
<property>
<name>fs.default.name</name>
<value>mumble-12.cs.wisc.edu:9001</value>
</property>
<property>
<name>mapred.job.tracker</name>
<value>mumble-13.cs.wisc.edu:9001</value>
</property>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
<property>
<name>dfs.secondary.info.port</name>
<value>9002</value>
</property>
<property>
<name>dfs.info.port</name>
<value>9003</value>
</property>
<property>
<name>mapred.job.tracker.info.port</name>
<value>9004</value>
</property>
<property>
<name>tasktracker.http.port</name>
<value>9005</value>
</property>
Error using Hadoop 1.0.4 (DataNode doesn't get started):
2013-04-22 18:50:50,438 INFO org.apache.hadoop.ipc.Server: IPC Server handler 7 on 9001, call addBlock(/tmp/hadoop-akshar/mapred/system/jobtracker.info, DFSClient_502734479, null) from 128.105.112.13:37204: error: java.io.IOException: File /tmp/hadoop-akshar/mapred/system/jobtracker.info could only be replicated to 0 nodes, instead of 1
java.io.IOException: File /tmp/hadoop-akshar/mapred/system/jobtracker.info could only be replicated to 0 nodes, instead of 1
Error using Hadoop 0.15.2:
[akshar#mumble-12] (38)$ bin/hadoop fs -copyFromLocal lib/junit-3.8.1.LICENSE.txt input
13/04/17 03:22:11 WARN fs.DFSClient: Error while writing.
java.net.SocketException: Connection reset
at java.net.SocketInputStream.read(SocketInputStream.java:189)
at java.net.SocketInputStream.read(SocketInputStream.java:121)
at java.net.SocketInputStream.read(SocketInputStream.java:203)
at java.io.DataInputStream.readShort(DataInputStream.java:312)
at org.apache.hadoop.dfs.DFSClient$DFSOutputStream.endBlock(DFSClient.java:1660)
at org.apache.hadoop.dfs.DFSClient$DFSOutputStream.close(DFSClient.java:1733)
at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:49)
at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:64)
at org.apache.hadoop.io.IOUtils.copyBytes(IOUtils.java:55)
at org.apache.hadoop.io.IOUtils.copyBytes(IOUtils.java:83)
at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:140)
at org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:826)
at org.apache.hadoop.fs.FsShell.copyFromLocal(FsShell.java:120)
at org.apache.hadoop.fs.FsShell.run(FsShell.java:1360)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79)
at org.apache.hadoop.fs.FsShell.main(FsShell.java:1478)
13/04/17 03:22:12 WARN fs.DFSClient: Error while writing.
java.net.SocketException: Connection reset
at java.net.SocketInputStream.read(SocketInputStream.java:189)
at java.net.SocketInputStream.read(SocketInputStream.java:121)
at java.net.SocketInputStream.read(SocketInputStream.java:203)
at java.io.DataInputStream.readShort(DataInputStream.java:312)
at org.apache.hadoop.dfs.DFSClient$DFSOutputStream.endBlock(DFSClient.java:1660)
at org.apache.hadoop.dfs.DFSClient$DFSOutputStream.close(DFSClient.java:1733)
at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:49)
at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:64)
at org.apache.hadoop.io.IOUtils.copyBytes(IOUtils.java:55)
at org.apache.hadoop.io.IOUtils.copyBytes(IOUtils.java:83)
at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:140)
at org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:826)
at org.apache.hadoop.fs.FsShell.copyFromLocal(FsShell.java:120)
at org.apache.hadoop.fs.FsShell.run(FsShell.java:1360)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79)
at org.apache.hadoop.fs.FsShell.main(FsShell.java:1478)
13/04/17 03:22:12 WARN fs.DFSClient: Error while writing.
java.net.SocketException: Connection reset
at java.net.SocketInputStream.read(SocketInputStream.java:189)
at java.net.SocketInputStream.read(SocketInputStream.java:121)
at java.net.SocketInputStream.read(SocketInputStream.java:203)
at java.io.DataInputStream.readShort(DataInputStream.java:312)
at org.apache.hadoop.dfs.DFSClient$DFSOutputStream.endBlock(DFSClient.java:1660)
at org.apache.hadoop.dfs.DFSClient$DFSOutputStream.close(DFSClient.java:1733)
at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:49)
at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:64)
at org.apache.hadoop.io.IOUtils.copyBytes(IOUtils.java:55)
at org.apache.hadoop.io.IOUtils.copyBytes(IOUtils.java:83)
at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:140)
at org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:826)
at org.apache.hadoop.fs.FsShell.copyFromLocal(FsShell.java:120)
at org.apache.hadoop.fs.FsShell.run(FsShell.java:1360)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79)
at org.apache.hadoop.fs.FsShell.main(FsShell.java:1478)
copyFromLocal: Connection reset
I was able to get Hadoop to run over NFS using version 1.1.2. It might work for other versions, but I can't guarantee anything.
If you have an NFS file system then each node should have access to the filesystem. The fs.default.name tells Hadoop the filesystem URI to use, so it should be pointed to the local disk. I'll assume that your NFS directory is mounted to each node at /nfs.
In core-site.xml you should define:
<property>
<name>fs.default.name</name>
<value>file:///</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/nfs/tmp</value>
</property>
In mapred-site.xml you should define:
<property>
<name>mapred.job.tracker</name>
<value>node1:8021</value>
</property>
<property>
<name>mapred.local.dir</name>
<value>/tmp/mapred-local</value>
</property>
Since hadoop.tmp.dir is pointed to the nfs drive then the default locations of mapred.system.dir and mapreduce.jobtracker.staging.root.dir point to locations on the nfs drive. It might run with leaving the default value for mapred.local.dir, but it is supposed to point to the local filesystem so to be safe you can put that in /tmp.
You don't have to worry about hdfs-site.xml. This configuration file is used when you start the namenode, but with everything being distributed on the nfs drive you shouldn't run HDFS.
Now you can run start-mapred.sh on the jobtracker node and run a hadoop job. Don't run start-all.sh or start-dfs.sh because those will start HDFS. If you run multiple DataNodes that point to the same NFS directory, then one DataNode will lock that directory and the others will shutdown because they are unable to obtain a lock.
I tested the configuration with:
bin/hadoop jar hadoop-examples-1.1.2.jar wordcount /nfs/data/test.text /nfs/out
Note that you need to specify full paths to the input and output locations.
I also tried:
bin/hadoop jar hadoop-examples-1.1.2.jar grep /nfs/data/loremIpsum.txt /nfs/out2 lorem
It gave me the same output as when I run it in Standalone, so I assume it is performing correctly.
Here is more information on fs.default.name:
http://www.greenplum.com/blog/dive-in/usage-and-quirks-of-fs-default-name-in-hadoop-filesystem

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