[ 
https://issues.apache.org/jira/browse/HDFS-17069?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

ECFuzz updated HDFS-17069:
--------------------------
    Description: 
My hadoop version is 3.3.6, and I use the Pseudo-Distributed Operation.

core-site.xml like below.
{code:java}
<configuration>
  <property>
        <name>fs.defaultFS</name>
        <value>hdfs://localhost:9000</value>
    </property>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/home/hadoop/Mutil_Component/tmp</value>
    </property>
   
</configuration>{code}
hdfs-site.xml like below.
{code:java}
<configuration>
   <property>
        <name>dfs.replication</name>
        <value>1</value>
    </property>
<property>
        <name>dfs.blocksize</name>
        <value>128k</value>
    </property>
   
</configuration>{code}
然后格式化名称节点,并启动 hdfs。
{code:java}
hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
bin/hdfs namenode -format
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx(many info)
hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
sbin/start-dfs.sh
Starting namenodes on [localhost]
Starting datanodes
Starting secondary namenodes [hadoop-Standard-PC-i440FX-PIIX-1996]{code}
最后,使用 dfs 放置一个文件。然后我收到消息,这意味着 128k 小于 1M。

 
{code:java}
hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
bin/hdfs dfs -mkdir -p /user/hadoop
hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
bin/hdfs dfs -mkdir input
hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
bin/hdfs dfs -put etc/hadoop/hdfs-site.xml input
put: Specified block size is less than configured minimum value 
(dfs.namenode.fs-limits.min-block-size): 131072 < 1048576
{code}
但我发现在文档中,dfs.blocksize 可以设置为 128k 和 hdfs-default 中的其他值.xml .
{code:java}
The default block size for new files, in bytes. You can use the following 
suffix (case insensitive): k(kilo), m(mega), g(giga), t(tera), p(peta), e(exa) 
to specify the size (such as 128k, 512m, 1g, etc.), Or provide complete size in 
bytes (such as 134217728 for 128 MB).{code}
那么,这里的文档是否应该存在一些问题?或者应该注意用户将此配置设置为大于 1M?

 

此外,我启动纱线并运行给定的 mapreduce 作业。
{code:java}
hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
sbin/start-yarn.sh 
hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-3.3.6.jar grep 
input output 'dfs[a-z.]+'{code}
并且,外壳会抛出一些异常,如下所示。
{code:java}
2023-07-12 15:12:29,964 INFO client.DefaultNoHARMFailoverProxyProvider: 
Connecting to ResourceManager at /0.0.0.0:8032
2023-07-12 15:12:30,430 INFO mapreduce.JobResourceUploader: Disabling Erasure 
Coding for path: /tmp/hadoop-yarn/staging/hadoop/.staging/job_1689145947338_0001
2023-07-12 15:12:30,542 INFO mapreduce.JobSubmitter: Cleaning up the staging 
area /tmp/hadoop-yarn/staging/hadoop/.staging/job_1689145947338_0001
org.apache.hadoop.ipc.RemoteException(java.io.IOException): Specified block 
size is less than configured minimum value 
(dfs.namenode.fs-limits.min-block-size): 131072 < 1048576
        at 
org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFileInt(FSNamesystem.java:2690)
        at 
org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFile(FSNamesystem.java:2625)
        at 
org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.create(NameNodeRpcServer.java:807)
        at 
org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.create(ClientNamenodeProtocolServerSideTranslatorPB.java:496)
        at 
org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
        at 
org.apache.hadoop.ipc.ProtobufRpcEngine2$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine2.java:621)
        at 
org.apache.hadoop.ipc.ProtobufRpcEngine2$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine2.java:589)
        at 
org.apache.hadoop.ipc.ProtobufRpcEngine2$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine2.java:573)
        at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1227)
        at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:1094)
        at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:1017)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at 
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1899)
        at org.apache.hadoop.ipc.Server$Handler.run(Server.java:3048)        at 
org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1567)
        at org.apache.hadoop.ipc.Client.call(Client.java:1513)
        at org.apache.hadoop.ipc.Client.call(Client.java:1410)
        at 
org.apache.hadoop.ipc.ProtobufRpcEngine2$Invoker.invoke(ProtobufRpcEngine2.java:258)
        at 
org.apache.hadoop.ipc.ProtobufRpcEngine2$Invoker.invoke(ProtobufRpcEngine2.java:139)
        at com.sun.proxy.$Proxy9.create(Unknown Source)
        at 
org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.create(ClientNamenodeProtocolTranslatorPB.java:383)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at 
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at 
org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:433)
        at 
org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:166)
        at 
org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:158)
        at 
org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:96)
        at 
org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:362)
        at com.sun.proxy.$Proxy10.create(Unknown Source)
        at 
org.apache.hadoop.hdfs.DFSOutputStream.newStreamForCreate(DFSOutputStream.java:280)
        at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1271)
        at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1250)
        at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1232)
        at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1170)
        at 
org.apache.hadoop.hdfs.DistributedFileSystem$8.doCall(DistributedFileSystem.java:569)
        at 
org.apache.hadoop.hdfs.DistributedFileSystem$8.doCall(DistributedFileSystem.java:566)
        at 
org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
        at 
org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:580)
        at 
org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:507)
        at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1233)
        at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1210)
        at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1091)
        at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:489)
        at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:430)
        at 
org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:2592)
        at 
org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:2558)
        at 
org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:2520)
        at 
org.apache.hadoop.mapreduce.JobResourceUploader.copyJar(JobResourceUploader.java:785)
        at 
org.apache.hadoop.mapreduce.JobResourceUploader.uploadJobJar(JobResourceUploader.java:451)
        at 
org.apache.hadoop.mapreduce.JobResourceUploader.uploadResourcesInternal(JobResourceUploader.java:211)
        at 
org.apache.hadoop.mapreduce.JobResourceUploader.uploadResources(JobResourceUploader.java:135)
        at 
org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(JobSubmitter.java:99)
        at 
org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:194)
        at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1678)
        at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1675)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at 
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1899)
        at org.apache.hadoop.mapreduce.Job.submit(Job.java:1675)
        at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1696)
        at org.apache.hadoop.examples.Grep.run(Grep.java:78)
        at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:82)
        at org.apache.hadoop.examples.Grep.main(Grep.java:103)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at 
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at 
org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:71)
        at org.apache.hadoop.util.ProgramDriver.run(ProgramDriver.java:144)
        at org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:74)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at 
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.hadoop.util.RunJar.run(RunJar.java:328)
        at org.apache.hadoop.util.RunJar.main(RunJar.java:241){code}

  was:
My hadoop version is 3.3.6, and I use the Pseudo-Distributed Operation.

core-site.xml like below.
{code:java}
<configuration>
  <property>
        <name>fs.defaultFS</name>
        <value>hdfs://localhost:9000</value>
    </property>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/home/hadoop/Mutil_Component/tmp</value>
    </property>
   
</configuration>{code}
hdfs-site.xml like below.
{code:java}
<configuration>
   <property>
        <name>dfs.replication</name>
        <value>1</value>
    </property>
<property>
        <name>dfs.blocksize</name>
        <value>128k</value>
    </property>
   
</configuration>{code}
And then format the namenode, and start the hdfs.
{code:java}
hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
bin/hdfs namenode -format
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx(many info)
hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
sbin/start-dfs.sh
Starting namenodes on [localhost]
Starting datanodes
Starting secondary namenodes [hadoop-Standard-PC-i440FX-PIIX-1996]{code}
Finally, use dfs to put a file. Then I get the message which means 128k is less 
than 1M.

 
{code:java}
hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
bin/hdfs dfs -mkdir -p /user/hadoop
hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
bin/hdfs dfs -mkdir input
hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
bin/hdfs dfs -put etc/hadoop/hdfs-site.xml input
put: Specified block size is less than configured minimum value 
(dfs.namenode.fs-limits.min-block-size): 131072 < 1048576
{code}
But I find that in the document, dfs.blocksize can be set like 128k and other 
values in hdfs-default.xml .
{code:java}
The default block size for new files, in bytes. You can use the following 
suffix (case insensitive): k(kilo), m(mega), g(giga), t(tera), p(peta), e(exa) 
to specify the size (such as 128k, 512m, 1g, etc.), Or provide complete size in 
bytes (such as 134217728 for 128 MB).{code}
So, should there be some issues with the documents here?Or should notice user 
to set this configuration to be larger than 1M?

 

Additionally, I start the yarn and run the given mapreduce job.
{code:java}
hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
sbin/start-yarn.sh 
hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-3.3.6.jar grep 
input output 'dfs[a-z.]+'{code}

 And,  the shell will throw some exceptions like below.
{code:java}
2023-07-12 15:12:29,964 INFO client.DefaultNoHARMFailoverProxyProvider: 
Connecting to ResourceManager at /0.0.0.0:8032
2023-07-12 15:12:30,430 INFO mapreduce.JobResourceUploader: Disabling Erasure 
Coding for path: /tmp/hadoop-yarn/staging/hadoop/.staging/job_1689145947338_0001
2023-07-12 15:12:30,542 INFO mapreduce.JobSubmitter: Cleaning up the staging 
area /tmp/hadoop-yarn/staging/hadoop/.staging/job_1689145947338_0001
org.apache.hadoop.ipc.RemoteException(java.io.IOException): Specified block 
size is less than configured minimum value 
(dfs.namenode.fs-limits.min-block-size): 131072 < 1048576
        at 
org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFileInt(FSNamesystem.java:2690)
        at 
org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFile(FSNamesystem.java:2625)
        at 
org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.create(NameNodeRpcServer.java:807)
        at 
org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.create(ClientNamenodeProtocolServerSideTranslatorPB.java:496)
        at 
org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
        at 
org.apache.hadoop.ipc.ProtobufRpcEngine2$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine2.java:621)
        at 
org.apache.hadoop.ipc.ProtobufRpcEngine2$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine2.java:589)
        at 
org.apache.hadoop.ipc.ProtobufRpcEngine2$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine2.java:573)
        at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1227)
        at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:1094)
        at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:1017)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at 
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1899)
        at org.apache.hadoop.ipc.Server$Handler.run(Server.java:3048)        at 
org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1567)
        at org.apache.hadoop.ipc.Client.call(Client.java:1513)
        at org.apache.hadoop.ipc.Client.call(Client.java:1410)
        at 
org.apache.hadoop.ipc.ProtobufRpcEngine2$Invoker.invoke(ProtobufRpcEngine2.java:258)
        at 
org.apache.hadoop.ipc.ProtobufRpcEngine2$Invoker.invoke(ProtobufRpcEngine2.java:139)
        at com.sun.proxy.$Proxy9.create(Unknown Source)
        at 
org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.create(ClientNamenodeProtocolTranslatorPB.java:383)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at 
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at 
org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:433)
        at 
org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:166)
        at 
org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:158)
        at 
org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:96)
        at 
org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:362)
        at com.sun.proxy.$Proxy10.create(Unknown Source)
        at 
org.apache.hadoop.hdfs.DFSOutputStream.newStreamForCreate(DFSOutputStream.java:280)
        at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1271)
        at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1250)
        at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1232)
        at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1170)
        at 
org.apache.hadoop.hdfs.DistributedFileSystem$8.doCall(DistributedFileSystem.java:569)
        at 
org.apache.hadoop.hdfs.DistributedFileSystem$8.doCall(DistributedFileSystem.java:566)
        at 
org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
        at 
org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:580)
        at 
org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:507)
        at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1233)
        at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1210)
        at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1091)
        at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:489)
        at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:430)
        at 
org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:2592)
        at 
org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:2558)
        at 
org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:2520)
        at 
org.apache.hadoop.mapreduce.JobResourceUploader.copyJar(JobResourceUploader.java:785)
        at 
org.apache.hadoop.mapreduce.JobResourceUploader.uploadJobJar(JobResourceUploader.java:451)
        at 
org.apache.hadoop.mapreduce.JobResourceUploader.uploadResourcesInternal(JobResourceUploader.java:211)
        at 
org.apache.hadoop.mapreduce.JobResourceUploader.uploadResources(JobResourceUploader.java:135)
        at 
org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(JobSubmitter.java:99)
        at 
org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:194)
        at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1678)
        at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1675)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at 
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1899)
        at org.apache.hadoop.mapreduce.Job.submit(Job.java:1675)
        at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1696)
        at org.apache.hadoop.examples.Grep.run(Grep.java:78)
        at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:82)
        at org.apache.hadoop.examples.Grep.main(Grep.java:103)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at 
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at 
org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:71)
        at org.apache.hadoop.util.ProgramDriver.run(ProgramDriver.java:144)
        at org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:74)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at 
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.hadoop.util.RunJar.run(RunJar.java:328)
        at org.apache.hadoop.util.RunJar.main(RunJar.java:241){code}


> The documentation and implementation of "dfs.blocksize" are inconsistent.
> -------------------------------------------------------------------------
>
>                 Key: HDFS-17069
>                 URL: https://issues.apache.org/jira/browse/HDFS-17069
>             Project: Hadoop HDFS
>          Issue Type: Bug
>          Components: dfs, documentation
>    Affects Versions: 3.3.6
>         Environment: Linux version 4.15.0-142-generic 
> (buildd@lgw01-amd64-039) (gcc version 5.4.0 20160609 (Ubuntu 
> 5.4.0-6ubuntu1~16.04.12))
> java version "1.8.0_162"
> Java(TM) SE Runtime Environment (build 1.8.0_162-b12)
> Java HotSpot(TM) 64-Bit Server VM (build 25.162-b12, mixed mode)
>            Reporter: ECFuzz
>            Priority: Major
>              Labels: pull-request-available
>
> My hadoop version is 3.3.6, and I use the Pseudo-Distributed Operation.
> core-site.xml like below.
> {code:java}
> <configuration>
>   <property>
>         <name>fs.defaultFS</name>
>         <value>hdfs://localhost:9000</value>
>     </property>
>     <property>
>         <name>hadoop.tmp.dir</name>
>         <value>/home/hadoop/Mutil_Component/tmp</value>
>     </property>
>    
> </configuration>{code}
> hdfs-site.xml like below.
> {code:java}
> <configuration>
>    <property>
>         <name>dfs.replication</name>
>         <value>1</value>
>     </property>
> <property>
>         <name>dfs.blocksize</name>
>         <value>128k</value>
>     </property>
>    
> </configuration>{code}
> 然后格式化名称节点,并启动 hdfs。
> {code:java}
> hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
> bin/hdfs namenode -format
> xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx(many info)
> hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
> sbin/start-dfs.sh
> Starting namenodes on [localhost]
> Starting datanodes
> Starting secondary namenodes [hadoop-Standard-PC-i440FX-PIIX-1996]{code}
> 最后,使用 dfs 放置一个文件。然后我收到消息,这意味着 128k 小于 1M。
>  
> {code:java}
> hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
> bin/hdfs dfs -mkdir -p /user/hadoop
> hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
> bin/hdfs dfs -mkdir input
> hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
> bin/hdfs dfs -put etc/hadoop/hdfs-site.xml input
> put: Specified block size is less than configured minimum value 
> (dfs.namenode.fs-limits.min-block-size): 131072 < 1048576
> {code}
> 但我发现在文档中,dfs.blocksize 可以设置为 128k 和 hdfs-default 中的其他值.xml .
> {code:java}
> The default block size for new files, in bytes. You can use the following 
> suffix (case insensitive): k(kilo), m(mega), g(giga), t(tera), p(peta), 
> e(exa) to specify the size (such as 128k, 512m, 1g, etc.), Or provide 
> complete size in bytes (such as 134217728 for 128 MB).{code}
> 那么,这里的文档是否应该存在一些问题?或者应该注意用户将此配置设置为大于 1M?
>  
> 此外,我启动纱线并运行给定的 mapreduce 作业。
> {code:java}
> hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
> sbin/start-yarn.sh 
> hadoop@hadoop-Standard-PC-i440FX-PIIX-1996:~/Mutil_Component/hadoop-3.3.6$ 
> bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-3.3.6.jar 
> grep input output 'dfs[a-z.]+'{code}
> 并且,外壳会抛出一些异常,如下所示。
> {code:java}
> 2023-07-12 15:12:29,964 INFO client.DefaultNoHARMFailoverProxyProvider: 
> Connecting to ResourceManager at /0.0.0.0:8032
> 2023-07-12 15:12:30,430 INFO mapreduce.JobResourceUploader: Disabling Erasure 
> Coding for path: 
> /tmp/hadoop-yarn/staging/hadoop/.staging/job_1689145947338_0001
> 2023-07-12 15:12:30,542 INFO mapreduce.JobSubmitter: Cleaning up the staging 
> area /tmp/hadoop-yarn/staging/hadoop/.staging/job_1689145947338_0001
> org.apache.hadoop.ipc.RemoteException(java.io.IOException): Specified block 
> size is less than configured minimum value 
> (dfs.namenode.fs-limits.min-block-size): 131072 < 1048576
>         at 
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFileInt(FSNamesystem.java:2690)
>         at 
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFile(FSNamesystem.java:2625)
>         at 
> org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.create(NameNodeRpcServer.java:807)
>         at 
> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.create(ClientNamenodeProtocolServerSideTranslatorPB.java:496)
>         at 
> org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
>         at 
> org.apache.hadoop.ipc.ProtobufRpcEngine2$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine2.java:621)
>         at 
> org.apache.hadoop.ipc.ProtobufRpcEngine2$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine2.java:589)
>         at 
> org.apache.hadoop.ipc.ProtobufRpcEngine2$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine2.java:573)
>         at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1227)
>         at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:1094)
>         at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:1017)
>         at java.security.AccessController.doPrivileged(Native Method)
>         at javax.security.auth.Subject.doAs(Subject.java:422)
>         at 
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1899)
>         at org.apache.hadoop.ipc.Server$Handler.run(Server.java:3048)        
> at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1567)
>         at org.apache.hadoop.ipc.Client.call(Client.java:1513)
>         at org.apache.hadoop.ipc.Client.call(Client.java:1410)
>         at 
> org.apache.hadoop.ipc.ProtobufRpcEngine2$Invoker.invoke(ProtobufRpcEngine2.java:258)
>         at 
> org.apache.hadoop.ipc.ProtobufRpcEngine2$Invoker.invoke(ProtobufRpcEngine2.java:139)
>         at com.sun.proxy.$Proxy9.create(Unknown Source)
>         at 
> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.create(ClientNamenodeProtocolTranslatorPB.java:383)
>         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>         at 
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>         at 
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>         at java.lang.reflect.Method.invoke(Method.java:498)
>         at 
> org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:433)
>         at 
> org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:166)
>         at 
> org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:158)
>         at 
> org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:96)
>         at 
> org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:362)
>         at com.sun.proxy.$Proxy10.create(Unknown Source)
>         at 
> org.apache.hadoop.hdfs.DFSOutputStream.newStreamForCreate(DFSOutputStream.java:280)
>         at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1271)
>         at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1250)
>         at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1232)
>         at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1170)
>         at 
> org.apache.hadoop.hdfs.DistributedFileSystem$8.doCall(DistributedFileSystem.java:569)
>         at 
> org.apache.hadoop.hdfs.DistributedFileSystem$8.doCall(DistributedFileSystem.java:566)
>         at 
> org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
>         at 
> org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:580)
>         at 
> org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:507)
>         at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1233)
>         at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1210)
>         at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:1091)
>         at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:489)
>         at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:430)
>         at 
> org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:2592)
>         at 
> org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:2558)
>         at 
> org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:2520)
>         at 
> org.apache.hadoop.mapreduce.JobResourceUploader.copyJar(JobResourceUploader.java:785)
>         at 
> org.apache.hadoop.mapreduce.JobResourceUploader.uploadJobJar(JobResourceUploader.java:451)
>         at 
> org.apache.hadoop.mapreduce.JobResourceUploader.uploadResourcesInternal(JobResourceUploader.java:211)
>         at 
> org.apache.hadoop.mapreduce.JobResourceUploader.uploadResources(JobResourceUploader.java:135)
>         at 
> org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(JobSubmitter.java:99)
>         at 
> org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:194)
>         at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1678)
>         at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1675)
>         at java.security.AccessController.doPrivileged(Native Method)
>         at javax.security.auth.Subject.doAs(Subject.java:422)
>         at 
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1899)
>         at org.apache.hadoop.mapreduce.Job.submit(Job.java:1675)
>         at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1696)
>         at org.apache.hadoop.examples.Grep.run(Grep.java:78)
>         at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:82)
>         at org.apache.hadoop.examples.Grep.main(Grep.java:103)
>         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>         at 
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>         at 
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>         at java.lang.reflect.Method.invoke(Method.java:498)
>         at 
> org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:71)
>         at org.apache.hadoop.util.ProgramDriver.run(ProgramDriver.java:144)
>         at 
> org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:74)
>         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>         at 
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>         at 
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>         at java.lang.reflect.Method.invoke(Method.java:498)
>         at org.apache.hadoop.util.RunJar.run(RunJar.java:328)
>         at org.apache.hadoop.util.RunJar.main(RunJar.java:241){code}



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