hdfs dfs -ls / 查询到的是本地文件目录,这是为什么?

已经配置了hadoop的环境变量,也source过了,但是只要不在hadoop/bin下面使用hdfs dfs -ls / 查询到的就是本地文件目录,并且报错:

Warning: fs.defaultFS is not set when running "ls" command.

如图:
图片说明
但如果在bin目录下,显示正确,如图:
图片说明
环境变量如图:
图片说明
上网查了有人说core-site.xml有问题,我不是这个问题,配置文件如下:
图片说明
请问有人知道这是怎么回事吗?

1个回答

使用which hadoop和which hdfs查看是否指向正确位置,若不是,则删掉错误位置处的文件,重新source,然后一切正常

Csdn user default icon
上传中...
上传图片
插入图片
抄袭、复制答案,以达到刷声望分或其他目的的行为,在CSDN问答是严格禁止的,一经发现立刻封号。是时候展现真正的技术了!
其他相关推荐
hadoop集群,hdfs dfs -ls / 目录出错
搭建了一个hadoop集群,用hdfs dfs -ls /命令,列出的是本地系统的根目录。 用hdfs dfs -ls hdfs://servicename/ 列出的目录才是hdfs上的目录,可能是什么原因? 执行hive创建的目录也是在本地系统目录上。 集群的配置如下 集群规划: 主机名 IP 安装的软件 运行的进程 hadoop01 192.168.175.129 jdk、hadoop NameNode、DFSZKFailoverController(zkfc) hadoop02 192.168.175.127 jdk、hadoop NameNode、DFSZKFailoverController(zkfc) hadoop03 192.168.175.126 jdk、hadoop ResourceManager hadoop04 192.168.175.125 jdk、hadoop ResourceManager hadoop05 192.168.175.124 jdk、hadoop、zookeeper DataNode、NodeManager、JournalNode、QuorumPeerMain hadoop06 192.168.175.123 jdk、hadoop、zookeeper DataNode、NodeManager、JournalNode、QuorumPeerMain hadoop07 192.168.175.122 jdk、hadoop、zookeeper DataNode、NodeManager、JournalNode、QuorumPeerMain windows:NLB LINUX:LVS 1.liunx虚拟机安装后,虚拟机连接模式要选择host-only模式。然后分配IP(以hadoop01为例) DEVICE="eth0" BOOTPROTO="static" ### HWADDR="00:0C:29:3C:BF:E7" IPV6INIT="yes" NM_CONTROLLED="yes" ONBOOT="yes" TYPE="Ethernet" UUID="ce22eeca-ecde-4536-8cc2-ef0dc36d4a8c" IPADDR="192.168.175.129" ### NETMASK="255.255.255.0" ### GATEWAY="192.168.175.1" ### 2.修改主机名: vim /etc/sysconfig/network NETWORKING=yes HOSTNAME=hadoop01 ### 3.关闭防火墙: #查看防火墙状态 service iptables status #关闭防火墙 service iptables stop #查看防火墙开机启动状态 chkconfig iptables --list #关闭防火墙开机启动 chkconfig iptables off 4.免登录配置: #生成ssh免登陆密钥 #进入到我的home目录 cd ~/.ssh ssh-keygen -t rsa (四个回车) 执行完这个命令后,会生成两个文件id_rsa(私钥)、id_rsa.pub(公钥) 将公钥拷贝到要免登陆的机器上 cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys 或 若报错ssh-copy-id: ERROR: No identities found,是因为找不到公钥路径,加上-i然后再加上路径即可 则用 $ ssh-copy-id -i ~/.ssh/id_rsa.pub user@remote_ip 5.主机IP映射关系(/etc/hosts每台机器上都要配置全部映射关系) 192.168.175.129 hadoop01 192.168.175.127 hadoop02 192.168.175.126 hadoop03 192.168.175.125 hadoop04 192.168.175.124 hadoop05 192.168.175.123 hadoop06 192.168.175.122 hadoop07 6./etc/profile下配置java环境变量: export JAVA_HOME=/lichangwu/jdk1.7.0_79 export PATH=$PATH:$JAVA_HOME/bin #刷新profile source /etc/profile 若版本报错,vi /etc/selinux/config,设置SELINUX=disabled,然后重启虚拟机 7.安装zookeeper: 1.安装配置zooekeeper集群(在hadoop05上): 1.1解压 tar -zxvf zookeeper-3.4.6.tar.gz -C /lichangwu/ 1.2修改配置 cd /lichangwu/zookeeper-3.4.6/conf/ cp zoo_sample.cfg zoo.cfg vim zoo.cfg 修改:dataDir=/lichangwu/zookeeper-3.4.6/tmp 在最后添加: server.1=hadoop05:2888:3888 server.2=hadoop06:2888:3888 server.3=hadoop07:2888:3888 保存退出 然后创建一个tmp文件夹 mkdir /lichangwu/zookeeper-3.4.6/tmp 再创建一个空文件 touch /lichangwu/zookeeper-3.4.6/tmp/myid 最后向该文件写入ID echo 1 > /lichangwu/zookeeper-3.4.6/tmp/myid 1.3将配置好的zookeeper拷贝到其他节点(首先分别在hadoop06、hadoop07根目录下创建一个lichangwu目录:mkdir /lichangwu) scp -r /lichangwu/zookeeper-3.4.6/ hadoop06:/lichangwu/ scp -r /lichangwu/zookeeper-3.4.6/ hadoop07:/lichangwu/ 注意:修改hadoop06、hadoop07对应/lichangwu/zookeeper-3.4.6/tmp/myid内容 itcast06: echo 2 > /lichangwu/zookeeper-3.4.6/tmp/myid itcast07: echo 3 > /lichangwu/zookeeper-3.4.6/tmp/myid 8.安装配置hadoop集群(在hadoop01上操作): 2.1解压 tar -zxvf hadoop-2.4.1.tar.gz -C /lichangwu/ 2.2配置HDFS(hadoop2.0所有的配置文件都在$HADOOP_HOME/etc/hadoop目录下) #将hadoop添加到环境变量中 vim /etc/profile export JAVA_HOME=/lichangwu/jdk1.7.0_79 export HADOOP_HOME=/lichangwu/hadoop-2.4.1 export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin #hadoop2.0的配置文件全部在$HADOOP_HOME/etc/hadoop下 cd /lichangwu/hadoop-2.4.1/etc/hadoop 2.2.1修改hadoo-env.sh export JAVA_HOME=/lichangwu/jdk1.7.0_79 2.2.2修改core-site.xml <configuration> <!-- 指定hdfs的nameservice为ns1 --> <property> <name>fs.defaultFS</name> <value>hdfs://ns1</value> </property> <!-- 指定hadoop临时目录 --> <property> <name>hadoop.tmp.dir</name> <value>/lichangwu/hadoop-2.4.1/tmp</value> </property> <!-- 指定zookeeper地址 --> <property> <name>ha.zookeeper.quorum</name> <value>hadoop05:2181,hadoop06:2181,hadoop07:2181</value> </property> </configuration> 2.2.3修改hdfs-site.xml <configuration> <!--指定hdfs的nameservice为ns1,需要和core-site.xml中的保持一致 --> <property> <name>dfs.nameservices</name> <value>ns1</value> </property> <!-- ns1下面有两个NameNode,分别是nn1,nn2 --> <property> <name>dfs.ha.namenodes.ns1</name> <value>nn1,nn2</value> </property> <!-- nn1的RPC通信地址 --> <property> <name>dfs.namenode.rpc-address.ns1.nn1</name> <value>hadoop01:9000</value> </property> <!-- nn1的http通信地址 --> <property> <name>dfs.namenode.http-address.ns1.nn1</name> <value>hadoop01:50070</value> </property> <!-- nn2的RPC通信地址 --> <property> <name>dfs.namenode.rpc-address.ns1.nn2</name> <value>hadoop02:9000</value> </property> <!-- nn2的http通信地址 --> <property> <name>dfs.namenode.http-address.ns1.nn2</name> <value>hadoop02:50070</value> </property> <!-- 指定NameNode的元数据在JournalNode上的存放位置 --> <property> <name>dfs.namenode.shared.edits.dir</name> <value>qjournal://hadoop05:8485;hadoop06:8485;hadoop07:8485/ns1</value> </property> <!-- 指定JournalNode在本地磁盘存放数据的位置 --> <property> <name>dfs.journalnode.edits.dir</name> <value>/lichangwu/hadoop-2.4.1/journal</value> </property> <!-- 开启NameNode失败自动切换 --> <property> <name>dfs.ha.automatic-failover.enabled</name> <value>true</value> </property> <!-- 配置失败自动切换实现方式 --> <property> <name>dfs.client.failover.proxy.provider.ns1</name> <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value> </property> <!-- 配置隔离机制方法,多个机制用换行分割,即每个机制暂用一行--> <property> <name>dfs.ha.fencing.methods</name> <value> sshfence shell(/bin/true) </value> </property> <!-- 使用sshfence隔离机制时需要ssh免登陆 --> <property> <name>dfs.ha.fencing.ssh.private-key-files</name> <value>/home/hadoop/.ssh/id_rsa</value> </property> <!-- 配置sshfence隔离机制超时时间 --> <property> <name>dfs.ha.fencing.ssh.connect-timeout</name> <value>30000</value> </property> </configuration> 2.2.4修改mapred-site.xml <configuration> <!-- 指定mr框架为yarn方式 --> <property> <name>mapreduce.framework.name</name> <value>yarn</value> </property> </configuration> 2.2.5修改yarn-site.xml <configuration> <!-- 开启RM高可靠 --> <property> <name>yarn.resourcemanager.ha.enabled</name> <value>true</value> </property> <!-- 指定RM的cluster id --> <property> <name>yarn.resourcemanager.cluster-id</name> <value>yrc</value> </property> <!-- 指定RM的名字 --> <property> <name>yarn.resourcemanager.ha.rm-ids</name> <value>rm1,rm2</value> </property> <!-- 分别指定RM的地址 --> <property> <name>yarn.resourcemanager.hostname.rm1</name> <value>hadoop03</value> </property> <property> <name>yarn.resourcemanager.hostname.rm2</name> <value>hadoop04</value> </property> <!-- 指定zk集群地址 --> <property> <name>yarn.resourcemanager.zk-address</name> <value>hadoop05:2181,hadoop06:2181,hadoop07:2181</value> </property> <property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle</value> </property> </configuration> 2.2.6修改slaves(slaves是指定子节点的位置,因为要在itcast01上启动HDFS、在itcast03启动yarn, 所以itcast01上的slaves文件指定的是datanode的位置,itcast03上的slaves文件指定的是nodemanager的位置) hadoop05 hadoop06 hadoop07 2.2.7配置免密码登陆 #首先要配置itcast01到hadoop02、hadoop03、hadoop04、hadoop05、hadoop06、hadoop07的免密码登陆 #在hadoop01上生产一对钥匙 ssh-keygen -t rsa #将公钥拷贝到其他节点,包括自己 ssh-coyp-id hadoop01 ssh-coyp-id hadoop02 ssh-coyp-id hadoop03 ssh-coyp-id hadoop04 ssh-coyp-id hadoop05 ssh-coyp-id hadoop06 ssh-coyp-id hadoop07 #配置hadoop03到hadoop04、hadoop05、hadoop06、hadoop07的免密码登陆 #在hadoop03上生产一对钥匙 ssh-keygen -t rsa #将公钥拷贝到其他节点 ssh-coyp-id hadoop04 ssh-coyp-id hadoop05 ssh-coyp-id hadoop06 ssh-coyp-id hadoop07 #注意:两个namenode之间要配置ssh免密码登陆,别忘了配置hadoop02到hadoop01的免登陆 在hadoop02上生产一对钥匙 ssh-keygen -t rsa ssh-coyp-id -i hadoop01 2.4将配置好的hadoop拷贝到其他节点 scp -r hadoop-2.4.1/ hadoop02:/lichangwu/hadoop-2.4.1/ scp -r hadoop-2.4.1/ hadoop03:/lichangwu/hadoop-2.4.1/ scp -r hadoop-2.4.1/ hadoop04:/lichangwu/hadoop-2.4.1/ scp -r hadoop-2.4.1/ hadoop05:/lichangwu/hadoop-2.4.1/ scp -r hadoop-2.4.1/ hadoop06:/lichangwu/hadoop-2.4.1/ scp -r hadoop-2.4.1/ hadoop07:/lichangwu/hadoop-2.4.1/ ###注意:严格按照下面的步骤 2.5启动zookeeper集群(分别在hadoop05、hadoop06、hadoop07上启动zk) cd /lichangwu/zookeeper-3.4.6/bin/ ./zkServer.sh start #查看状态:一个leader,两个follower ./zkServer.sh status 2.6启动journalnode(分别在在hadoop05、hadoop06、hadoop07上执行) cd /lichangwu/hadoop-2.4.1 sbin/hadoop-daemon.sh start journalnode #运行jps命令检验,hadoop05、hadoop06、hadoop07上多了JournalNode进程 2.7格式化HDFS #在hadoop01上执行命令: hdfs namenode -format #格式化后会在根据core-site.xml中的hadoop.tmp.dir配置生成个文件, 这里我配置的是/lichangwu/hadoop-2.4.1/tmp,然后将/lichangwu/hadoop-2.4.1/tmp拷贝到hadoop02的/lichangwu/hadoop-2.4.1/下。 scp -r tmp/ hadoop02:/lichangwu/hadoop-2.4.1/ 2.8格式化ZK(在hadoop01上执行即可) hdfs zkfc -formatZK 2.9启动HDFS(在hadoop01上执行) sbin/start-dfs.sh 2.10启动YARN(#####注意#####:是在hadoop03上执行start-yarn.sh, 如果hadoop04上没有启动成功,则在hadoop04上再启动一次start-yarn.sh; 把namenode和resourcemanager分开是因为性能问题,因为他们都要占用大量资源,所以把他们分开了,他们分开了就要分别在不同的机器上启动) sbin/start-yarn.sh 到此,hadoop-2.4.1配置完毕,可以统计浏览器访问: http://192.168.175.129:50070 NameNode 'hadoop01:9000' (active) http://192.168.175.127:50070 NameNode 'hadoop02:9000' (standby)
输入命令为:hdfs dfs -ls / ,什么也没返回,HFDS根目录下一片空白
我的是hadoop3.0,伪分布式部署已经按照教程起来了,为什么什么都搜不到呢 liugen@ubuntu:/$ jps 80624 DataNode 93379 Jps 80819 SecondaryNameNode 80493 NameNode
在HDFS中创建用户目录失败
环境配置没错,启动无误,输入jps,显示了6个进程。 hadoop目录: /usr/lib/hadoop 权限是:777 所属者和所属组都为普通用户:sister 使用的命令: ./bin/hdfs dfs -mkdir -p /user/hadoop 问题:创建用户目录时,没报错,但是到根目录下没有发现 user/hadoop 文件,不知道是什么原因,请大神支招!谢谢了
HADOOP集群主机上运行HADOOP相关命令回车后响应慢
HADOOP集群主机上运行HADOOP相关命令回车后响应慢,如集群主机上输入hive\hbase shell或者hdfs dfs -ls / 回车后终端响应非常慢,至少10秒上才出来 Logging initialized using configuration in jar:file:/opt/cloudera/parcels/CDH-5.3.1-1.cdh5.3.1.p0.5/jars/hive-common-0.13.1-cdh5.3.1.jar!/hive-log4j.properties hive>
上传文件到HDFS,使用hadoop命令,一直报Retrying connect to server
(1)环境:我hadoop环境已经搭建好了,版本是2.6,hdfs的50070,MR的8088端口页面都可以显示,然后我想往hdfs上传文件。 (2)命令:hadoop fs -mkdir /root/1或./hdfs dfs -mkdir /root/1会一直报下面这个问题 (3)问题:其中42.123.125.237这个ip我也不知道是拿来的,myhadoop是我取的服务名,(还有8020端口是nameNode的吧) ![图片说明](https://img-ask.csdn.net/upload/201708/11/1502452427_763174.png) (4)IP说明: ![图片说明](https://img-ask.csdn.net/upload/201708/11/1502452446_130416.png) (5)配置: core-site.xml: ![图片说明](https://img-ask.csdn.net/upload/201708/11/1502452470_185793.png) hdfs-site.xml: ![图片说明](https://img-ask.csdn.net/upload/201708/11/1502452492_693348.png) ![图片说明](https://img-ask.csdn.net/upload/201708/11/1502449699_137831.png) hosts文件: ![图片说明](https://img-ask.csdn.net/upload/201708/11/1502449756_2107.png) profile: ![图片说明](https://img-ask.csdn.net/upload/201708/11/1502449801_929152.png)
Hadoop 同时启动HDFS、YARN出错
``` liuye@liuye-VirtualBox:~$ start-all.sh This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh /usr/local/hadoop/bin/hdfs: 行 276: /usr/lib/jvm/java-7-openjdk-amd64/bin/java: 没有那个文件或目录 Starting namenodes on [] liuye@localhost's password: localhost: starting namenode, logging to /usr/local/hadoop/logs/hadoop-liuye-namenode-liuye-VirtualBox.out localhost: /usr/local/hadoop/bin/hdfs: 行 276: /usr/lib/jvm/java-7-openjdk-amd64/bin/java: 没有那个文件或目录 liuye@localhost's password: localhost: starting datanode, logging to /usr/local/hadoop/logs/hadoop-liuye-datanode-liuye-VirtualBox.out localhost: /usr/local/hadoop/bin/hdfs: 行 276: /usr/lib/jvm/java-7-openjdk-amd64/bin/java: 没有那个文件或目录 /usr/local/hadoop/bin/hdfs: 行 276: /usr/lib/jvm/java-7-openjdk-amd64/bin/java: 没有那个文件或目录 starting yarn daemons starting resourcemanager, logging to /usr/local/hadoop/logs/yarn-liuye-resourcemanager-liuye-VirtualBox.out /usr/local/hadoop/bin/yarn: 行 284: /usr/lib/jvm/java-7-openjdk-amd64/bin/java: 没有那个文件或目录 liuye@localhost's password: localhost: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-liuye-nodemanager-liuye-VirtualBox.out localhost: /usr/local/hadoop/bin/yarn: 行 284: /usr/lib/jvm/java-7-openjdk-amd64/bin/java: 没有那个文件或目录 liuye@liuye-VirtualBox:~$ ```
HDfS dfs.data.dir 配置多目录结构
hdfs dfs.data.dir 配置多个本地目录存储,如果多个目录的容量不同,是否会出现短木板原则的存储? 比如说:一台服务器上,dfs.data.dir配置了两个目录: 一个目录有10T,还有一个目录是20T。在实际存储过程中,这两个目录资源是怎么利用的,有经验的请多指点。
hadoop hdfs 挂载报错
hadoop hdfs挂载在linux上市报错fuse-dfs didn't recognize /hadoop/hdfs,-2,然后打开/hadoop/hdfs时报输入输出目录错误
esxi5客户端访问映射到本地的hdfs问题,求解答~~
我在VMware workstation装了3台ubuntu12.04的虚拟机,搭建hadoop。 前面一切顺利,然后通过hdfs-webdav.war 将hdfs部署到webdav上 浏览器访问http://namenode:8080/hdfs-webdav 能够成功访问hdfs 。 然后通过davfs2 将hdfs-webdav映射到本地。。 语句:mount -t davfs http://namenode:8080/hdfs-webdav /data/hdfs -o uid=hadoop,gid=root,dir_mode=775 成功映射到本地 接下来就是问题了 想通过pc机的VMware vSphere client作为客户端,利用iscsi访问挂载到本地的/data/hdfs 方法如下:dd if=/dev/zero of=/data/hdfs/hdfs.img count=0 obs=1 seek=30G 创建30G的虚拟镜像文件。 然后启动 iscsitarget /etc/iet/ietd.conf 文件里面 设置lun0 path=/data/hdfs/hdfs.img Type=fileio 然后VMware vSphere Client客户可以找到iscsitarget 也成功加载了30G的存储器。。 但是这个存储器始终无法和namenode里面的hdfs同步数据 通过http://namenode:8080/hdfs-webdav也无法访问到hdfs.img里面的数据,并且显示hdfs.img的大小是0k。。 pc机的网上邻居,添加网络邻居网络地址写http://namenode:8080/hdfs-webdav却可以实现和hdfs同步。。 求问怎么让VMware vSphere Client的可以访问到映射到本地磁盘的hadoop集群数据。还有帮忙看看我操作中间有没有出现什么错误呢
本地文件上传到hadoop文件夹时出错。各路求助大神。
把本地文件上传到hadoop的文件下,本地上传文件后面出现 _COPYING_ on client 127.0.0.1.然后在hadoop文件夹下面没有文件。大神求助啊。。 $ bin/hdfs dfs -put etc/hadoop input2 15/08/25 10:14:26 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable put: file /user/xw/input2/capacity-scheduler.xml._COPYING_ on client 127.0.0.1. 然后我去input2文件夹下面查看,什么都没有!
Hadoop集群执行wordcount出现的一些报错信息
我是一个Hadoop学习的新手,请大家帮助一下,非常的感谢! 我自己在虚拟机使用docker搭建了一个Hadoop集群,docker镜像是使用的ubuntu18.04 首先我的Hadoop1主节点上开启了以下服务: ``` root@hadoop1:/usr/local/hadoop# jps 2058 NameNode 2266 SecondaryNameNode 2445 ResourceManager 2718 Jps ``` 下面是两个从节点的服务: ``` root@hadoop2:~# jps 294 DataNode 550 Jps 406 NodeManager ``` ``` root@hadoop3:~# jps 543 Jps 399 NodeManager 287 DataNode ``` hadoop1(主节点)在云端创建一个/data/input的文件夹结构 ``` root@hadoop1:/usr/local/hadoop#bin/hdfs dfs -mkdir -p /data/input WARNING: An illegal reflective access operation has occurred WARNING: Illegal reflective access by org.apache.hadoop.security.authentication.util.KerberosUtil (file:/usr/local/hadoop/share/hadoop/common/lib/hadoop-auth-2.9.2.jar) to method sun.security.krb5.Config.getInstance() WARNING: Please consider reporting this to the maintainers of org.apache.hadoop.security.authentication.util.KerberosUtil WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations WARNING: All illegal access operations will be denied in a future release ``` 就是上面的一堆警告,下面我每执行一次bin/hdfs dfs都会有这个警告,请问这种警告对于整个Hadoop集群有没有影响,怎样将这个警告消除。 ``` 下面这是将test1文件推送带云端时也出现同样的报警 root@hadoop1:/usr/local/hadoop#bin/hdfs dfs -put test1 /data/input WARNING: An illegal reflective access operation has occurred WARNING: Illegal reflective access by org.apache.hadoop.security.authentication.util.KerberosUtil (file:/usr/local/hadoop/share/hadoop/common/lib/hadoop-auth-2.9.2.jar) to method sun.security.krb5.Config.getInstance() WARNING: Please consider reporting this to the maintainers of org.apache.hadoop.security.authentication.util.KerberosUtil WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations WARNING: All illegal access operations will be denied in a future release ``` 这是查看推送到云端文件的时候也出现这种报警 ``` root@hadoop1:/usr/local/hadoop#bin/hdfs dfs -ls /data/input WARNING: An illegal reflective access operation has occurred WARNING: Illegal reflective access by org.apache.hadoop.security.authentication.util.KerberosUtil (file:/usr/local/hadoop/share/hadoop/common/lib/hadoop-auth-2.9.2.jar) to method sun.security.krb5.Config.getInstance() WARNING: Please consider reporting this to the maintainers of org.apache.hadoop.security.authentication.util.KerberosUtil WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations WARNING: All illegal access operations will be denied in a future release Found 1 items -rw-r--r-- 1 root supergroup 60 2019-09-15 08:07 /data/input/test1 ``` 这是执行share/hadoop/mapreduce/hadoop-mapreduce-examples-2.9.2.jar也出现这种报警 ``` root@hadoop1:/usr/local/hadoop#bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.9.2.jar wordcount /data/input/test1 /data/output/test1 WARNING: An illegal reflective access operation has occurred WARNING: Illegal reflective access by org.apache.hadoop.security.authentication.util.KerberosUtil (file:/usr/local/hadoop/share/hadoop/common/lib/hadoop-auth-2.9.2.jar) to method sun.security.krb5.Config.getInstance() WARNING: Please consider reporting this to the maintainers of org.apache.hadoop.security.authentication.util.KerberosUtil WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations WARNING: All illegal access operations will be denied in a future release ``` 这是执行后查看wordcount的执行结果也出现这种报警 ``` root@hadoop1:/usr/local/hadoop# bin/hdfs dfs -cat /data/output/test1/part-r-00000 WARNING: An illegal reflective access operation has occurred WARNING: Illegal reflective access by org.apache.hadoop.security.authentication.util.KerberosUtil (file:/usr/local/hadoop/share/hadoop/common/lib/hadoop-auth-2.9.2.jar) to method sun.security.krb5.Config.getInstance() WARNING: Please consider reporting this to the maintainers of org.apache.hadoop.security.authentication.util.KerberosUtil WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations WARNING: All illegal access operations will be denied in a future release first 1 hello 2 is 2 my 2 test1 1 testwordcount 1 this 2 ``` 有哪位大神能否帮我看一下这个问题如何解决,非常感谢!
osx下编译hadoop-2.5.2-src出错
[exec] /pein/hadoop/hadoop-2.5.2-src/hadoop-hdfs-project/hadoop-hdfs/src/main/native/libhdfs/test/vecsum.c:61:9: warning: implicit declaration of function 'clock_gettime' is invalid in C99 [-Wimplicit-function-declaration] [exec] if (clock_gettime(CLOCK_MONOTONIC, &watch->start)) { [exec] ^ [exec] /pein/hadoop/hadoop-2.5.2-src/hadoop-hdfs-project/hadoop-hdfs/src/main/native/libhdfs/test/vecsum.c:61:23: error: use of undeclared identifier 'CLOCK_MONOTONIC' [exec] if (clock_gettime(CLOCK_MONOTONIC, &watch->start)) { [exec] ^ [exec] /pein/hadoop/hadoop-2.5.2-src/hadoop-hdfs-project/hadoop-hdfs/src/main/native/libhdfs/test/vecsum.c:79:23: error: use of undeclared identifier 'CLOCK_MONOTONIC' [exec] if (clock_gettime(CLOCK_MONOTONIC, &watch->stop)) { [exec] ^ [exec] 1 warning and 2 errors generated. [exec] make[2]: *** [CMakeFiles/test_libhdfs_vecsum.dir/main/native/libhdfs/test/vecsum.c.o] Error 1 [exec] make[1]: *** [CMakeFiles/test_libhdfs_vecsum.dir/all] Error 2 [exec] make: *** [all] Error 2
Failed to retrieve data from /webhdfs/v1/?op=LISTSTATUS: Server Error,同时无法put文件到hdfs
hadoop版本是3.1,ubuntu是18, 问题一:浏览hdfs目录显示: Failed to retrieve data from /webhdfs/v1/?op=LISTSTATUS: Server Error 问题二: namenode的log如下: ``` 438 WARN org.eclipse.jetty.servlet.ServletHandler: Error for /webhdfs/v1/ java.lang.NoClassDefFoundError: javax/activation/DataSource at com.sun.xml.bind.v2.model.impl.RuntimeBuiltinLeafInfoImpl.<clinit>(RuntimeBuiltinLeafInfoImpl.java:457) at com.sun.xml.bind.v2.model.impl.RuntimeTypeInfoSetImpl.<init>(RuntimeTypeInfoSetImpl.java:65) at com.sun.xml.bind.v2.model.impl.RuntimeModelBuilder.createTypeInfoSet(RuntimeModelBuilder.java:133) at com.sun.xml.bind.v2.model.impl.RuntimeModelBuilder.createTypeInfoSet(RuntimeModelBuilder.java:85) at com.sun.xml.bind.v2.model.impl.ModelBuilder.<init>(ModelBuilder.java:156) at com.sun.xml.bind.v2.model.impl.RuntimeModelBuilder.<init>(RuntimeModelBuilder.java:93) at com.sun.xml.bind.v2.runtime.JAXBContextImpl.getTypeInfoSet(JAXBContextImpl.java:473) at com.sun.xml.bind.v2.runtime.JAXBContextImpl.<init>(JAXBContextImpl.java:319) at com.sun.xml.bind.v2.runtime.JAXBContextImpl$JAXBContextBuilder.build(JAXBContextImpl.java:1170) at com.sun.xml.bind.v2.ContextFactory.createContext(ContextFactory.java:145) at com.sun.xml.bind.v2.ContextFactory.createContext(ContextFactory.java:236) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.base/java.lang.reflect.Method.invoke(Method.java:566) at javax.xml.bind.ContextFinder.newInstance(ContextFinder.java:186) at javax.xml.bind.ContextFinder.newInstance(ContextFinder.java:146) at javax.xml.bind.ContextFinder.find(ContextFinder.java:350) at javax.xml.bind.JAXBContext.newInstance(JAXBContext.java:446) at javax.xml.bind.JAXBContext.newInstance(JAXBContext.java:409) at com.sun.jersey.server.impl.wadl.WadlApplicationContextImpl.<init>(WadlApplicationContextImpl.java:103) at com.sun.jersey.server.impl.wadl.WadlFactory.init(WadlFactory.java:100) at com.sun.jersey.server.impl.application.RootResourceUriRules.initWadl(RootResourceUriRules.java:169) at com.sun.jersey.server.impl.application.RootResourceUriRules.<init>(RootResourceUriRules.java:106) at com.sun.jersey.server.impl.application.WebApplicationImpl._initiate(WebApplicationImpl.java:1359) at com.sun.jersey.server.impl.application.WebApplicationImpl.access$700(WebApplicationImpl.java:180) at com.sun.jersey.server.impl.application.WebApplicationImpl$13.f(WebApplicationImpl.java:799) at com.sun.jersey.server.impl.application.WebApplicationImpl$13.f(WebApplicationImpl.java:795) at com.sun.jersey.spi.inject.Errors.processWithErrors(Errors.java:193) at com.sun.jersey.server.impl.application.WebApplicationImpl.initiate(WebApplicationImpl.java:795) at com.sun.jersey.server.impl.application.WebApplicationImpl.initiate(WebApplicationImpl.java:790) at com.sun.jersey.spi.container.servlet.ServletContainer.initiate(ServletContainer.java:509) at com.sun.jersey.spi.container.servlet.ServletContainer$InternalWebComponent.initiate(ServletContainer.java:339) at com.sun.jersey.spi.container.servlet.WebComponent.load(WebComponent.java:605) at com.sun.jersey.spi.container.servlet.WebComponent.init(WebComponent.java:207) at com.sun.jersey.spi.container.servlet.ServletContainer.init(ServletContainer.java:394) at com.sun.jersey.spi.container.servlet.ServletContainer.init(ServletContainer.java:577) at javax.servlet.GenericServlet.init(GenericServlet.java:244) at org.eclipse.jetty.servlet.ServletHolder.initServlet(ServletHolder.java:643) at org.eclipse.jetty.servlet.ServletHolder.getServlet(ServletHolder.java:499) at org.eclipse.jetty.servlet.ServletHolder.ensureInstance(ServletHolder.java:791) at org.eclipse.jetty.servlet.ServletHolder.prepare(ServletHolder.java:776) at org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:579) at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:143) at org.eclipse.jetty.security.SecurityHandler.handle(SecurityHandler.java:548) at org.eclipse.jetty.server.session.SessionHandler.doHandle(SessionHandler.java:226) at org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1180) at org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:512) at org.eclipse.jetty.server.session.SessionHandler.doScope(SessionHandler.java:185) at org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1112) at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:141) at org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:119) at org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:134) at org.eclipse.jetty.server.Server.handle(Server.java:539) at org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:333) at org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:251) at org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:283) at org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:108) at org.eclipse.jetty.io.SelectChannelEndPoint$2.run(SelectChannelEndPoint.java:93) at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.executeProduceConsume(ExecuteProduceConsume.java:303) at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.produceConsume(ExecuteProduceConsume.java:148) at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.run(ExecuteProduceConsume.java:136) at org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:671) at org.eclipse.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:589) at java.base/java.lang.Thread.run(Thread.java:834) Caused by: java.lang.ClassNotFoundException: javax.activation.DataSource at java.base/jdk.internal.loader.BuiltinClassLoader.loadClass(BuiltinClassLoader.java:583) at java.base/jdk.internal.loader.ClassLoaders$AppClassLoader.loadClass(ClassLoaders.java:178) at java.base/java.lang.ClassLoader.loadClass(ClassLoader.java:521) ... 65 more 2019-06-18 15:35:01,950 WARN org.eclipse.jetty.servlet.ServletHandler: /webhdfs/v1/ java.lang.NullPointerException at com.sun.jersey.spi.container.ContainerRequest.<init>(ContainerRequest.java:189) at com.sun.jersey.spi.container.servlet.WebComponent.createRequest(WebComponent.java:446) at com.sun.jersey.spi.container.servlet.WebComponent.service(WebComponent.java:373) at com.sun.jersey.spi.container.servlet.ServletContainer.service(ServletContainer.java:558) at com.sun.jersey.spi.container.servlet.ServletContainer.service(ServletContainer.java:733) at javax.servlet.http.HttpServlet.service(HttpServlet.java:790) at org.eclipse.jetty.servlet.ServletHolder.handle(ServletHolder.java:848) at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1772) at org.apache.hadoop.security.authentication.server.AuthenticationFilter.doFilter(AuthenticationFilter.java:644) at org.apache.hadoop.security.authentication.server.AuthenticationFilter.doFilter(AuthenticationFilter.java:592) at org.apache.hadoop.hdfs.web.AuthFilter.doFilter(AuthFilter.java:90) at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1759) at org.apache.hadoop.http.HttpServer2$QuotingInputFilter.doFilter(HttpServer2.java:1609) at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1759) at org.apache.hadoop.http.NoCacheFilter.doFilter(NoCacheFilter.java:45) at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1759) at org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:582) at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:143) at org.eclipse.jetty.security.SecurityHandler.handle(SecurityHandler.java:548) at org.eclipse.jetty.server.session.SessionHandler.doHandle(SessionHandler.java:226) at org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1180) at org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:512) at org.eclipse.jetty.server.session.SessionHandler.doScope(SessionHandler.java:185) at org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1112) at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:141) at org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:119) at org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:134) at org.eclipse.jetty.server.Server.handle(Server.java:539) at org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:333) at org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:251) at org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:283) at org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:108) at org.eclipse.jetty.io.SelectChannelEndPoint$2.run(SelectChannelEndPoint.java:93) at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.executeProduceConsume(ExecuteProduceConsume.java:303) at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.produceConsume(ExecuteProduceConsume.java:148) at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.run(ExecuteProduceConsume.java:136) at org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:671) at org.eclipse.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:589) at java.base/java.lang.Thread.run(Thread.java:834) 2019-06-18 15:39:17,698 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Number of transactions: 3 Total time for transactions(ms): 56 Number of transactions batched in Syncs: 0 Number of syncs: 2 SyncTimes(ms): 22 2019-06-18 15:39:25,202 WARN org.eclipse.jetty.servlet.ServletHandler: /webhdfs/v1/ java.lang.NullPointerException at com.sun.jersey.spi.container.ContainerRequest.<init>(ContainerRequest.java:189) at com.sun.jersey.spi.container.servlet.WebComponent.createRequest(WebComponent.java:446) at com.sun.jersey.spi.container.servlet.WebComponent.service(WebComponent.java:373) at com.sun.jersey.spi.container.servlet.ServletContainer.service(ServletContainer.java:558) at com.sun.jersey.spi.container.servlet.ServletContainer.service(ServletContainer.java:733) at javax.servlet.http.HttpServlet.service(HttpServlet.java:790) at org.eclipse.jetty.servlet.ServletHolder.handle(ServletHolder.java:848) at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1772) at org.apache.hadoop.security.authentication.server.AuthenticationFilter.doFilter(AuthenticationFilter.java:644) at org.apache.hadoop.security.authentication.server.AuthenticationFilter.doFilter(AuthenticationFilter.java:592) at org.apache.hadoop.hdfs.web.AuthFilter.doFilter(AuthFilter.java:90) at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1759) at org.apache.hadoop.http.HttpServer2$QuotingInputFilter.doFilter(HttpServer2.java:1609) at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1759) at org.apache.hadoop.http.NoCacheFilter.doFilter(NoCacheFilter.java:45) at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1759) at org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:582) at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:143) at org.eclipse.jetty.security.SecurityHandler.handle(SecurityHandler.java:548) at org.eclipse.jetty.server.session.SessionHandler.doHandle(SessionHandler.java:226) at org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1180) at org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:512) at org.eclipse.jetty.server.session.SessionHandler.doScope(SessionHandler.java:185) at org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1112) at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:141) at org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:119) at org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:134) at org.eclipse.jetty.server.Server.handle(Server.java:539) at org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:333) at org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:251) at org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:283) at org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:108) at org.eclipse.jetty.io.SelectChannelEndPoint$2.run(SelectChannelEndPoint.java:93) at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.executeProduceConsume(ExecuteProduceConsume.java:303) at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.produceConsume(ExecuteProduceConsume.java:148) at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.run(ExecuteProduceConsume.java:136) at org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:671) at org.eclipse.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:589) at java.base/java.lang.Thread.run(Thread.java:834) 2019-06-18 15:39:45,858 WARN org.eclipse.jetty.servlet.ServletHandler: /webhdfs/v1/ java.lang.NullPointerException at com.sun.jersey.spi.container.ContainerRequest.<init>(ContainerRequest.java:189) at com.sun.jersey.spi.container.servlet.WebComponent.createRequest(WebComponent.java:446) at com.sun.jersey.spi.container.servlet.WebComponent.service(WebComponent.java:373) at com.sun.jersey.spi.container.servlet.ServletContainer.service(ServletContainer.java:558) at com.sun.jersey.spi.container.servlet.ServletContainer.service(ServletContainer.java:733) at javax.servlet.http.HttpServlet.service(HttpServlet.java:790) at org.eclipse.jetty.servlet.ServletHolder.handle(ServletHolder.java:848) at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1772) at org.apache.hadoop.security.authentication.server.AuthenticationFilter.doFilter(AuthenticationFilter.java:644) at org.apache.hadoop.security.authentication.server.AuthenticationFilter.doFilter(AuthenticationFilter.java:592) at org.apache.hadoop.hdfs.web.AuthFilter.doFilter(AuthFilter.java:90) at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1759) at org.apache.hadoop.http.HttpServer2$QuotingInputFilter.doFilter(HttpServer2.java:1609) at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1759) at org.apache.hadoop.http.NoCacheFilter.doFilter(NoCacheFilter.java:45) at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1759) at org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:582) at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:143) at org.eclipse.jetty.security.SecurityHandler.handle(SecurityHandler.java:548) at org.eclipse.jetty.server.session.SessionHandler.doHandle(SessionHandler.java:226) at org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1180) at org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:512) at org.eclipse.jetty.server.session.SessionHandler.doScope(SessionHandler.java:185) at org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1112) at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:141) at org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:119) at org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:134) at org.eclipse.jetty.server.Server.handle(Server.java:539) at org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:333) at org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:251) at org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:283) at org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:108) at org.eclipse.jetty.io.SelectChannelEndPoint$2.run(SelectChannelEndPoint.java:93) at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.executeProduceConsume(ExecuteProduceConsume.java:303) at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.produceConsume(ExecuteProduceConsume.java:148) at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.run(ExecuteProduceConsume.java:136) at org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:671) at org.eclipse.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:589) at java.base/java.lang.Thread.run(Thread.java:834) ``` 附datanode日志: 2019-06-18 14:52:36,785 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: STARTUP_MSG: /************************************************************ STARTUP_MSG: Starting DataNode STARTUP_MSG: host = gx-virtual-machine/127.0.1.1 STARTUP_MSG: args = [] STARTUP_MSG: version = 3.2.0 STARTUP_MSG: classpath = /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/kerby-xdr-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-core-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-util-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/common/lib/avro-1.7.7.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-crypto-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/re2j-1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-databind-2.9.5.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-api-1.7.25.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-annotations-2.9.5.jar:/usr/local/hadoop/share/hadoop/common/lib/audience-annotations-0.5.0.jar:/usr/local/hadoop/share/hadoop/common/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/curator-client-2.12.0.jar:/usr/local/hadoop/share/hadoop/common/lib/json-smart-2.3.jar:/usr/local/hadoop/share/hadoop/common/lib/jcip-annotations-1.0-1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerby-pkix-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-annotations-3.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/token-provider-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-xc-1.9.13.jar:/usr/local/hadoop/share/hadoop/common/lib/jsr311-api-1.1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-logging-1.1.3.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-core-1.19.jar:/usr/local/hadoop/share/hadoop/common/lib/htrace-core4-4.1.0-incubating.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-lang3-3.7.jar:/usr/local/hadoop/share/hadoop/common/lib/dnsjava-2.1.7.jar:/usr/local/hadoop/share/hadoop/common/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/common/lib/jsp-api-2.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-collections-3.2.2.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-beanutils-1.9.3.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/common/lib/javax.servlet-api-3.1.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-server-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/common/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/common/lib/curator-recipes-2.12.0.jar:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.25.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-client-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/woodstox-core-5.0.3.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-admin-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/gson-2.2.4.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-security-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-math3-3.1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-net-3.6.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-text-1.4.jar:/usr/local/hadoop/share/hadoop/common/lib/httpclient-4.5.2.jar:/usr/local/hadoop/share/hadoop/common/lib/kerby-config-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-server-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-servlet-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-util-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/asm-5.0.4.jar:/usr/local/hadoop/share/hadoop/common/lib/zookeeper-3.4.13.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-codec-1.11.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-identity-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/accessors-smart-1.2.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-xml-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/common/lib/jul-to-slf4j-1.7.25.jar:/usr/local/hadoop/share/hadoop/common/lib/kerby-util-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-http-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/common/lib/metrics-core-3.2.4.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-configuration2-2.1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-io-2.5.jar:/usr/local/hadoop/share/hadoop/common/lib/curator-framework-2.12.0.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-common-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/netty-3.10.5.Final.jar:/usr/local/hadoop/share/hadoop/common/lib/nimbus-jose-jwt-4.41.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop/share/hadoop/common/lib/snappy-java-1.0.5.jar:/usr/local/hadoop/share/hadoop/common/lib/httpcore-4.4.4.jar:/usr/local/hadoop/share/hadoop/common/lib/kerby-asn1-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jettison-1.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-json-1.19.jar:/usr/local/hadoop/share/hadoop/common/lib/jsr305-3.0.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-server-1.19.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-core-2.9.5.jar:/usr/local/hadoop/share/hadoop/common/lib/hadoop-auth-3.2.0.jar:/usr/local/hadoop/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/usr/local/hadoop/share/hadoop/common/lib/jaxb-api-2.2.11.jar:/usr/local/hadoop/share/hadoop/common/lib/jsch-0.1.54.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-webapp-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/common/lib/stax2-api-3.1.4.jar:/usr/local/hadoop/share/hadoop/common/lib/jersey-servlet-1.19.jar:/usr/local/hadoop/share/hadoop/common/lib/kerb-simplekdc-1.0.1.jar:/usr/local/hadoop/share/hadoop/common/lib/jetty-io-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-3.2.0-tests.jar:/usr/local/hadoop/share/hadoop/common/hadoop-kms-3.2.0.jar:/usr/local/hadoop/share/hadoop/common/hadoop-common-3.2.0.jar:/usr/local/hadoop/share/hadoop/common/hadoop-nfs-3.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/kerby-xdr-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/leveldbjni-all-1.8.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-core-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-util-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/avro-1.7.7.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-crypto-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/re2j-1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/json-simple-1.1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-databind-2.9.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-annotations-2.9.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/audience-annotations-0.5.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/xz-1.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/curator-client-2.12.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/json-smart-2.3.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jcip-annotations-1.0-1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerby-pkix-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/hadoop-annotations-3.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/token-provider-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-xc-1.9.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsr311-api-1.1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-core-1.19.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/htrace-core4-4.1.0-incubating.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-lang3-3.7.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/dnsjava-2.1.7.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/paranamer-2.3.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-collections-3.2.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-beanutils-1.9.3.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-compress-1.4.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/javax.servlet-api-3.1.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-server-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/guava-11.0.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/curator-recipes-2.12.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-client-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/okhttp-2.7.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/woodstox-core-5.0.3.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-admin-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/gson-2.2.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-security-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-math3-3.1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-net-3.6.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-text-1.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/httpclient-4.5.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerby-config-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-server-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-servlet-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/okio-1.6.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-util-ajax-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-util-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/asm-5.0.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/zookeeper-3.4.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-codec-1.11.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-identity-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/accessors-smart-1.2.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-xml-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/netty-all-4.0.52.Final.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerby-util-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-http-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-configuration2-2.1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/commons-io-2.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/curator-framework-2.12.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-common-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/netty-3.10.5.Final.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/nimbus-jose-jwt-4.41.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/snappy-java-1.0.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/httpcore-4.4.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerby-asn1-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jettison-1.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-json-1.19.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsr305-3.0.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-server-1.19.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-core-2.9.5.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/hadoop-auth-3.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jackson-jaxrs-1.9.13.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jaxb-api-2.2.11.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jsch-0.1.54.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-webapp-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/stax2-api-3.1.4.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jersey-servlet-1.19.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/kerb-simplekdc-1.0.1.jar:/usr/local/hadoop/share/hadoop/hdfs/lib/jetty-io-9.3.24.v20180605.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-3.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-client-3.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-nfs-3.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-native-client-3.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-native-client-3.2.0-tests.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-rbf-3.2.0-tests.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-httpfs-3.2.0.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-client-3.2.0-tests.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-3.2.0-tests.jar:/usr/local/hadoop/share/hadoop/hdfs/hadoop-hdfs-rbf-3.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/usr/local/hadoop/share/hadoop/mapreduce/lib/junit-4.11.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-common-3.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-nativetask-3.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-3.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-3.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-uploader-3.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-core-3.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-3.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-app-3.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-3.2.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-3.2.0-tests.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn:/usr/local/hadoop/share/hadoop/yarn/lib/guice-servlet-4.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/json-io-2.5.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-client-1.19.jar:/usr/local/hadoop/share/hadoop/yarn/lib/mssql-jdbc-6.2.1.jre7.jar:/usr/local/hadoop/share/hadoop/yarn/lib/java-util-1.9.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/ehcache-3.3.1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/swagger-annotations-1.5.4.jar:/usr/local/hadoop/share/hadoop/yarn/lib/HikariCP-java7-2.4.12.jar:/usr/local/hadoop/share/hadoop/yarn/lib/javax.inject-1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/fst-2.50.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jersey-guice-1.19.jar:/usr/local/hadoop/share/hadoop/yarn/lib/guice-4.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/snakeyaml-1.16.jar:/usr/local/hadoop/share/hadoop/yarn/lib/metrics-core-3.2.4.jar:/usr/local/hadoop/share/hadoop/yarn/lib/objenesis-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-jaxrs-base-2.9.5.jar:/usr/local/hadoop/share/hadoop/yarn/lib/geronimo-jcache_1.0_spec-1.0-alpha-1.jar:/usr/local/hadoop/share/hadoop/yarn/lib/aopalliance-1.0.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-module-jaxb-annotations-2.9.5.jar:/usr/local/hadoop/share/hadoop/yarn/lib/jackson-jaxrs-json-provider-2.9.5.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-nodemanager-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-registry-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-sharedcachemanager-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-submarine-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-client-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-api-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-timeline-pluginstorage-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-services-api-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-common-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-services-core-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-tests-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-common-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-router-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-3.2.0.jar:/usr/local/hadoop/share/hadoop/yarn/hadoop-yarn-server-web-proxy-3.2.0.jar STARTUP_MSG: build = https://github.com/apache/hadoop.git -r e97acb3bd8f3befd27418996fa5d4b50bf2e17bf; compiled by 'sunilg' on 2019-01-08T06:08Z STARTUP_MSG: java = 11.0.3 ************************************************************/ 2019-06-18 14:52:36,863 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: registered UNIX signal handlers for [TERM, HUP, INT] 2019-06-18 14:52:41,503 INFO org.apache.hadoop.hdfs.server.datanode.checker.ThrottledAsyncChecker: Scheduling a check for [DISK]file:/usr/local/hadoop/tmp/dfs/data 2019-06-18 14:52:42,424 INFO org.apache.hadoop.metrics2.impl.MetricsConfig: Loaded properties from hadoop-metrics2.properties 2019-06-18 14:52:44,123 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl: Scheduled Metric snapshot period at 10 second(s). 2019-06-18 14:52:44,123 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl: DataNode metrics system started 2019-06-18 14:52:46,504 INFO org.apache.hadoop.hdfs.server.common.Util: dfs.datanode.fileio.profiling.sampling.percentage set to 0. Disabling file IO profiling 2019-06-18 14:52:46,511 INFO org.apache.hadoop.hdfs.server.datanode.BlockScanner: Initialized block scanner with targetBytesPerSec 1048576 2019-06-18 14:52:46,566 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Configured hostname is gx-virtual-machine 2019-06-18 14:52:46,567 INFO org.apache.hadoop.hdfs.server.common.Util: dfs.datanode.fileio.profiling.sampling.percentage set to 0. Disabling file IO profiling 2019-06-18 14:52:46,592 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Starting DataNode with maxLockedMemory = 0 2019-06-18 14:52:46,798 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Opened streaming server at /0.0.0.0:9866 2019-06-18 14:52:46,866 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Balancing bandwidth is 10485760 bytes/s 2019-06-18 14:52:46,866 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Number threads for balancing is 50 2019-06-18 14:52:47,198 INFO org.eclipse.jetty.util.log: Logging initialized @15269ms 2019-06-18 14:52:48,022 INFO org.apache.hadoop.security.authentication.server.AuthenticationFilter: Unable to initialize FileSignerSecretProvider, falling back to use random secrets. 2019-06-18 14:52:48,062 INFO org.apache.hadoop.http.HttpRequestLog: Http request log for http.requests.datanode is not defined 2019-06-18 14:52:48,161 INFO org.apache.hadoop.http.HttpServer2: Added global filter 'safety' (class=org.apache.hadoop.http.HttpServer2$QuotingInputFilter) 2019-06-18 14:52:48,174 INFO org.apache.hadoop.http.HttpServer2: Added filter static_user_filter (class=org.apache.hadoop.http.lib.StaticUserWebFilter$StaticUserFilter) to context datanode 2019-06-18 14:52:48,174 INFO org.apache.hadoop.http.HttpServer2: Added filter static_user_filter (class=org.apache.hadoop.http.lib.StaticUserWebFilter$StaticUserFilter) to context static 2019-06-18 14:52:48,174 INFO org.apache.hadoop.http.HttpServer2: Added filter static_user_filter (class=org.apache.hadoop.http.lib.StaticUserWebFilter$StaticUserFilter) to context logs 2019-06-18 14:52:48,556 INFO org.apache.hadoop.http.HttpServer2: Jetty bound to port 44121 2019-06-18 14:52:48,580 INFO org.eclipse.jetty.server.Server: jetty-9.3.24.v20180605, build timestamp: 2018-06-06T01:11:56+08:00, git hash: 84205aa28f11a4f31f2a3b86d1bba2cc8ab69827 2019-06-18 14:52:49,011 INFO org.eclipse.jetty.server.handler.ContextHandler: Started o.e.j.s.ServletContextHandler@7876d598{/logs,file:///usr/local/hadoop/logs/,AVAILABLE} 2019-06-18 14:52:49,018 INFO org.eclipse.jetty.server.handler.ContextHandler: Started o.e.j.s.ServletContextHandler@5af28b27{/static,file:///usr/local/hadoop/share/hadoop/hdfs/webapps/static/,AVAILABLE} 2019-06-18 14:52:50,151 INFO org.eclipse.jetty.server.handler.ContextHandler: Started o.e.j.w.WebAppContext@547e29a4{/,file:///usr/local/hadoop/share/hadoop/hdfs/webapps/datanode/,AVAILABLE}{/datanode} 2019-06-18 14:52:50,242 INFO org.eclipse.jetty.server.AbstractConnector: Started ServerConnector@6f45a1a0{HTTP/1.1,[http/1.1]}{localhost:44121} 2019-06-18 14:52:50,243 INFO org.eclipse.jetty.server.Server: Started @18329ms 2019-06-18 14:52:52,165 INFO org.apache.hadoop.hdfs.server.datanode.web.DatanodeHttpServer: Listening HTTP traffic on /0.0.0.0:9864 2019-06-18 14:52:52,273 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: dnUserName = hadoop 2019-06-18 14:52:52,273 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: supergroup = supergroup 2019-06-18 14:52:52,242 INFO org.apache.hadoop.util.JvmPauseMonitor: Starting JVM pause monitor 2019-06-18 14:52:52,720 INFO org.apache.hadoop.ipc.CallQueueManager: Using callQueue: class java.util.concurrent.LinkedBlockingQueue, queueCapacity: 1000, scheduler: class org.apache.hadoop.ipc.DefaultRpcScheduler, ipcBackoff: false. 2019-06-18 14:52:52,880 INFO org.apache.hadoop.ipc.Server: Starting Socket Reader #1 for port 9867 2019-06-18 14:52:54,839 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Opened IPC server at /0.0.0.0:9867 2019-06-18 14:52:55,160 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Refresh request received for nameservices: null 2019-06-18 14:52:55,365 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Starting BPOfferServices for nameservices: <default> 2019-06-18 14:52:55,418 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Block pool <registering> (Datanode Uuid unassigned) service to localhost/127.0.0.1:9000 starting to offer service 2019-06-18 14:52:55,532 INFO org.apache.hadoop.ipc.Server: IPC Server Responder: starting 2019-06-18 14:52:55,561 INFO org.apache.hadoop.ipc.Server: IPC Server listener on 9867: starting 2019-06-18 14:52:58,314 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Acknowledging ACTIVE Namenode during handshakeBlock pool <registering> (Datanode Uuid unassigned) service to localhost/127.0.0.1:9000 2019-06-18 14:52:58,329 INFO org.apache.hadoop.hdfs.server.common.Storage: Using 1 threads to upgrade data directories (dfs.datanode.parallel.volumes.load.threads.num=1, dataDirs=1) 2019-06-18 14:52:58,458 INFO org.apache.hadoop.hdfs.server.common.Storage: Lock on /usr/local/hadoop/tmp/dfs/data/in_use.lock acquired by nodename 55815@gx-virtual-machine 2019-06-18 14:52:58,478 INFO org.apache.hadoop.hdfs.server.common.Storage: Storage directory with location [DISK]file:/usr/local/hadoop/tmp/dfs/data is not formatted for namespace 317473294. Formatting... 2019-06-18 14:52:58,479 INFO org.apache.hadoop.hdfs.server.common.Storage: Generated new storageID DS-8b3e1e6d-135a-433a-93bb-3e62598daf5e for directory /usr/local/hadoop/tmp/dfs/data 2019-06-18 14:52:58,749 INFO org.apache.hadoop.hdfs.server.common.Storage: Analyzing storage directories for bpid BP-200946205-127.0.1.1-1560840480894 2019-06-18 14:52:58,750 INFO org.apache.hadoop.hdfs.server.common.Storage: Locking is disabled for /usr/local/hadoop/tmp/dfs/data/current/BP-200946205-127.0.1.1-1560840480894 2019-06-18 14:52:58,753 INFO org.apache.hadoop.hdfs.server.common.Storage: Block pool storage directory for location [DISK]file:/usr/local/hadoop/tmp/dfs/data and block pool id BP-200946205-127.0.1.1-1560840480894 is not formatted. Formatting ... 2019-06-18 14:52:58,753 INFO org.apache.hadoop.hdfs.server.common.Storage: Formatting block pool BP-200946205-127.0.1.1-1560840480894 directory /usr/local/hadoop/tmp/dfs/data/current/BP-200946205-127.0.1.1-1560840480894/current 2019-06-18 14:52:58,772 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Setting up storage: nsid=317473294;bpid=BP-200946205-127.0.1.1-1560840480894;lv=-57;nsInfo=lv=-65;cid=CID-eb45654d-0bc6-4348-b02f-e03603e1ae37;nsid=317473294;c=1560840480894;bpid=BP-200946205-127.0.1.1-1560840480894;dnuuid=null 2019-06-18 14:52:58,776 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Generated and persisted new Datanode UUID 6a2049c6-1a18-437a-97bd-51c5bb65a639 2019-06-18 14:52:59,549 INFO org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl: Added new volume: DS-8b3e1e6d-135a-433a-93bb-3e62598daf5e 2019-06-18 14:52:59,553 INFO org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl: Added volume - [DISK]file:/usr/local/hadoop/tmp/dfs/data, StorageType: DISK 2019-06-18 14:52:59,615 INFO org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl: Registered FSDatasetState MBean 2019-06-18 14:52:59,680 INFO org.apache.hadoop.hdfs.server.datanode.checker.ThrottledAsyncChecker: Scheduling a check for /usr/local/hadoop/tmp/dfs/data 2019-06-18 14:52:59,801 INFO org.apache.hadoop.hdfs.server.datanode.checker.DatasetVolumeChecker: Scheduled health check for volume /usr/local/hadoop/tmp/dfs/data 2019-06-18 14:52:59,809 INFO org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl: Adding block pool BP-200946205-127.0.1.1-1560840480894 2019-06-18 14:52:59,839 INFO org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl: Scanning block pool BP-200946205-127.0.1.1-1560840480894 on volume /usr/local/hadoop/tmp/dfs/data... 2019-06-18 14:53:00,166 INFO org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl: Time taken to scan block pool BP-200946205-127.0.1.1-1560840480894 on /usr/local/hadoop/tmp/dfs/data: 327ms 2019-06-18 14:53:00,168 INFO org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl: Total time to scan all replicas for block pool BP-200946205-127.0.1.1-1560840480894: 359ms 2019-06-18 14:53:00,181 INFO org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl: Adding replicas to map for block pool BP-200946205-127.0.1.1-1560840480894 on volume /usr/local/hadoop/tmp/dfs/data... 2019-06-18 14:53:00,181 INFO org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.BlockPoolSlice: Replica Cache file: /usr/local/hadoop/tmp/dfs/data/current/BP-200946205-127.0.1.1-1560840480894/current/replicas doesn't exist 2019-06-18 14:53:00,198 INFO org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl: Time to add replicas to map for block pool BP-200946205-127.0.1.1-1560840480894 on volume /usr/local/hadoop/tmp/dfs/data: 17ms 2019-06-18 14:53:00,198 INFO org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl: Total time to add all replicas to map for block pool BP-200946205-127.0.1.1-1560840480894: 27ms 2019-06-18 14:53:00,208 INFO org.apache.hadoop.hdfs.server.datanode.VolumeScanner: Now scanning bpid BP-200946205-127.0.1.1-1560840480894 on volume /usr/local/hadoop/tmp/dfs/data 2019-06-18 14:53:00,221 INFO org.apache.hadoop.hdfs.server.datanode.VolumeScanner: VolumeScanner(/usr/local/hadoop/tmp/dfs/data, DS-8b3e1e6d-135a-433a-93bb-3e62598daf5e): finished scanning block pool BP-200946205-127.0.1.1-1560840480894 2019-06-18 14:53:00,401 INFO org.apache.hadoop.hdfs.server.datanode.VolumeScanner: VolumeScanner(/usr/local/hadoop/tmp/dfs/data, DS-8b3e1e6d-135a-433a-93bb-3e62598daf5e): no suitable block pools found to scan. Waiting 1814399799 ms. 2019-06-18 14:53:00,418 INFO org.apache.hadoop.hdfs.server.datanode.DirectoryScanner: Periodic Directory Tree Verification scan starting at 2019/6/18 下午8:05 with interval of 21600000ms 2019-06-18 14:53:00,463 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Block pool BP-200946205-127.0.1.1-1560840480894 (Datanode Uuid 6a2049c6-1a18-437a-97bd-51c5bb65a639) service to localhost/127.0.0.1:9000 beginning handshake with NN 2019-06-18 14:53:00,825 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Block pool Block pool BP-200946205-127.0.1.1-1560840480894 (Datanode Uuid 6a2049c6-1a18-437a-97bd-51c5bb65a639) service to localhost/127.0.0.1:9000 successfully registered with NN 2019-06-18 14:53:00,825 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: For namenode localhost/127.0.0.1:9000 using BLOCKREPORT_INTERVAL of 21600000msec CACHEREPORT_INTERVAL of 10000msec Initial delay: 0msec; heartBeatInterval=3000 2019-06-18 14:53:01,524 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Successfully sent block report 0xb210af820fa10abf, containing 1 storage report(s), of which we sent 1. The reports had 0 total blocks and used 1 RPC(s). This took 19 msec to generate and 231 msecs for RPC and NN processing. Got back one command: FinalizeCommand/5. 2019-06-18 14:53:01,525 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Got finalize command for block pool BP-200946205-127.0.1.1-1560840480894 2019-06-18 15:44:37,567 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741825_1001 src: /127.0.0.1:34774 dest: /127.0.0.1:9866 2019-06-18 15:44:37,733 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:34774, dest: /127.0.0.1:9866, bytes: 8260, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_1864191814_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741825_1001, duration(ns): 75831098 2019-06-18 15:44:37,737 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP-200946205-127.0.1.1-1560840480894:blk_1073741825_1001, type=LAST_IN_PIPELINE terminating 2019-06-18 15:44:38,256 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741826_1002 src: /127.0.0.1:34776 dest: /127.0.0.1:9866 2019-06-18 15:44:38,266 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:34776, dest: /127.0.0.1:9866, bytes: 953, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_1864191814_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741826_1002, duration(ns): 5252820 2019-06-18 15:44:38,266 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP-200946205-127.0.1.1-1560840480894:blk_1073741826_1002, type=LAST_IN_PIPELINE terminating 2019-06-18 15:44:38,340 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741827_1003 src: /127.0.0.1:34778 dest: /127.0.0.1:9866 2019-06-18 15:44:38,365 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:34778, dest: /127.0.0.1:9866, bytes: 11392, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_1864191814_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741827_1003, duration(ns): 19816531 2019-06-18 15:44:38,372 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP-200946205-127.0.1.1-1560840480894:blk_1073741827_1003, type=LAST_IN_PIPELINE terminating 2019-06-18 15:44:38,428 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741828_1004 src: /127.0.0.1:34780 dest: /127.0.0.1:9866 2019-06-18 15:44:38,455 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:34780, dest: /127.0.0.1:9866, bytes: 1061, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_1864191814_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741828_1004, duration(ns): 9820674 2019-06-18 15:44:38,464 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP-200946205-127.0.1.1-1560840480894:blk_1073741828_1004, type=LAST_IN_PIPELINE terminating 2019-06-18 15:44:38,517 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741829_1005 src: /127.0.0.1:34782 dest: /127.0.0.1:9866 2019-06-18 15:44:38,537 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:34782, dest: /127.0.0.1:9866, bytes: 620, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_1864191814_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741829_1005, duration(ns): 9424051 2019-06-18 15:44:38,537 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP-200946205-127.0.1.1-1560840480894:blk_1073741829_1005, type=LAST_IN_PIPELINE terminating 2019-06-18 15:44:38,569 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741830_1006 src: /127.0.0.1:34784 dest: /127.0.0.1:9866 2019-06-18 15:44:38,579 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:34784, dest: /127.0.0.1:9866, bytes: 3518, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_1864191814_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741830_1006, duration(ns): 6662498 2019-06-18 15:44:38,579 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP-200946205-127.0.1.1-1560840480894:blk_1073741830_1006, type=LAST_IN_PIPELINE terminating 2019-06-18 15:44:38,642 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741831_1007 src: /127.0.0.1:34786 dest: /127.0.0.1:9866 2019-06-18 15:44:38,650 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:34786, dest: /127.0.0.1:9866, bytes: 682, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_1864191814_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741831_1007, duration(ns): 5047916 2019-06-18 15:44:38,650 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP-200946205-127.0.1.1-1560840480894:blk_1073741831_1007, type=LAST_IN_PIPELINE terminating 2019-06-18 15:44:38,713 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741832_1008 src: /127.0.0.1:34788 dest: /127.0.0.1:9866 2019-06-18 15:44:38,726 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:34788, dest: /127.0.0.1:9866, bytes: 758, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_1864191814_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741832_1008, duration(ns): 8532382 2019-06-18 15:44:38,727 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP-200946205-127.0.1.1-1560840480894:blk_1073741832_1008, type=LAST_IN_PIPELINE terminating 2019-06-18 15:44:38,789 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741833_1009 src: /127.0.0.1:34790 dest: /127.0.0.1:9866 2019-06-18 15:44:38,807 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:34790, dest: /127.0.0.1:9866, bytes: 690, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_1864191814_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741833_1009, duration(ns): 5589094 2019-06-18 15:44:38,813 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP-200946205-127.0.1.1-1560840480894:blk_1073741833_1009, type=LAST_IN_PIPELINE terminating 2019-06-19 09:54:01,961 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741834_1010 src: /127.0.0.1:36578 dest: /127.0.0.1:9866 2019-06-19 09:54:02,003 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:36578, dest: /127.0.0.1:9866, bytes: 8260, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_853656761_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741834_1010, duration(ns): 32739756 2019-06-19 09:54:02,011 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP-200946205-127.0.1.1-1560840480894:blk_1073741834_1010, type=LAST_IN_PIPELINE terminating 2019-06-19 09:54:02,125 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741835_1011 src: /127.0.0.1:36580 dest: /127.0.0.1:9866 2019-06-19 09:54:02,154 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:36580, dest: /127.0.0.1:9866, bytes: 953, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_853656761_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741835_1011, duration(ns): 12137675 2019-06-19 09:54:02,154 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP-200946205-127.0.1.1-1560840480894:blk_1073741835_1011, type=LAST_IN_PIPELINE terminating 2019-06-19 09:54:02,235 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741836_1012 src: /127.0.0.1:36582 dest: /127.0.0.1:9866 2019-06-19 09:54:02,249 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:36582, dest: /127.0.0.1:9866, bytes: 11392, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_853656761_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741836_1012, duration(ns): 8740891 2019-06-19 09:54:02,249 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP-200946205-127.0.1.1-1560840480894:blk_1073741836_1012, type=LAST_IN_PIPELINE terminating 2019-06-19 09:54:02,307 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741837_1013 src: /127.0.0.1:36584 dest: /127.0.0.1:9866 2019-06-19 09:54:02,322 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:36584, dest: /127.0.0.1:9866, bytes: 1061, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_853656761_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741837_1013, duration(ns): 8680367 2019-06-19 09:54:02,323 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP-200946205-127.0.1.1-1560840480894:blk_1073741837_1013, type=LAST_IN_PIPELINE terminating 2019-06-19 09:54:02,399 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741838_1014 src: /127.0.0.1:36586 dest: /127.0.0.1:9866 2019-06-19 09:54:02,413 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:36586, dest: /127.0.0.1:9866, bytes: 620, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_853656761_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741838_1014, duration(ns): 8474258 2019-06-19 09:54:02,413 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP-200946205-127.0.1.1-1560840480894:blk_1073741838_1014, type=LAST_IN_PIPELINE terminating 2019-06-19 09:54:02,491 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741839_1015 src: /127.0.0.1:36588 dest: /127.0.0.1:9866 2019-06-19 09:54:02,502 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:36588, dest: /127.0.0.1:9866, bytes: 3518, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_853656761_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741839_1015, duration(ns): 6946259 2019-06-19 09:54:02,503 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP-200946205-127.0.1.1-1560840480894:blk_1073741839_1015, type=LAST_IN_PIPELINE terminating 2019-06-19 09:54:02,560 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741840_1016 src: /127.0.0.1:36590 dest: /127.0.0.1:9866 2019-06-19 09:54:02,571 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:36590, dest: /127.0.0.1:9866, bytes: 682, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_853656761_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741840_1016, duration(ns): 6602106 2019-06-19 09:54:02,571 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder: BP-200946205-127.0.1.1-1560840480894:blk_1073741840_1016, type=LAST_IN_PIPELINE terminating 2019-06-19 09:54:02,635 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving BP-200946205-127.0.1.1-1560840480894:blk_1073741841_1017 src: /127.0.0.1:36592 dest: /127.0.0.1:9866 2019-06-19 09:54:02,650 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /127.0.0.1:36592, dest: /127.0.0.1:9866, bytes: 758, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_853656761_1, offset: 0, srvID: 6a2049c6-1a18-437a-97bd-51c5bb65a639, blockid: BP-200946205-127.0.1.1-1560840480894:blk_1073741841_1017, duration(ns): 9690339 2019-06-19 09:54:02,654 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder:
Hive on spark查询报错。
求助!!!在hadoop使用Hive on spark执行Bigbench测试时,一直会有报错,log信息: FAILED: SemanticException Failed to get a spark session: org.apache.hadoop.hive.ql.metadata.HiveException: Failed to create spark client. WARN: The method class org.apache.commons.logging.impl.SLF4JLogFactory#release() was invoked. WARN: Please see http://www.slf4j.org/codes.html#release for an explanation. An error occured while running command: ========== runEngineCmd -f /var/lib/hadoop-hdfs/Big-Bench/engines/hive/queries/q04/q04.sql ========== 在网上查了很多资料,有说版本不匹配的,有说是概率性问题,有没有大佬来瞅一眼啊。。哭了
hadoop 本地文件不能显示
我将文件上传到hdfs中了,但为什么在本地的datan ode中什么也看不见呢?求解 <property> <name>dfs.namenode.dir</name> <value>/home/du/name</value> </property> <property> <name>dfs.datanode.dir</name> <value>/home/du/data</value> </property><span></span> 在/tmp中有2个.txt文件 du@du-Vostro-1088:~/hadoop-1.2.1$ bin/hadoop fs -ls / Found 3 items drwxr-xr-x - du supergroup 0 2014-12-11 22:52 /du drwxr-xr-x - du supergroup 0 2014-12-11 22:52 /hello drwxr-xr-x - du supergroup 0 2014-12-11 22:48 /tmp 但在本地的datanode中就什么也看不见呢?namenode中也没见元数据啊?怎么回事?
nfs挂载hdfs报错:mount.nfs3 mount system call failed
作为一只菜鸟,为了能达到hdfs映射到linux本地文件系统中的目的,参照apache官网的文档一步一步操作下来[https://hadoop.apache.org/docs/r2.4.1/hadoop-project-dist/hadoop-hdfs/HdfsNfsGateway.html](https://hadoop.apache.org/docs/r2.4.1/hadoop-project-dist/hadoop-hdfs/HdfsNfsGateway.html "") 中间都没有遇到什么问题 nfs3和portmap都启动了,防火墙也关掉了 ``` [root@Master hadoop]# rpcinfo -p Master.dev program vers proto port service 100005 3 udp 4242 mountd 100005 1 tcp 4242 mountd 100000 2 udp 111 portmapper 100000 2 tcp 111 portmapper 100005 3 tcp 4242 mountd 100005 2 tcp 4242 mountd 100003 3 tcp 2049 nfs 100005 2 udp 4242 mountd 100005 1 udp 4242 mountd ``` ``` [root@Master hadoop]# showmount -e Master.dev Export list for Master.dev: / * ``` 执行到最后一步的时候就报错mount.nfs3 mount system call failed了 ``` mount -t nfs -o nfsvers=3,vers=3,proto=tcp,nolock Master.dev:/ /data/hdfs/ ``` 已经琢磨了两天了。。还是解决不了。。。求各位指点呀T.T
Docker容器中的centos7上安装ambari:启动datanode时Permission denied
我在Docker容器中的centos7上安装ambari,然后部署hadoop集群,在启动DataNode的时候遇到了这样的报错信息 “Execution of 'ambari-sudo.sh su hdfs -l -s /bin/bash -c 'ulimit -c unlimited ; /usr/hdp/current/hadoop-client/sbin/hadoop-daemon.sh --config /usr/hdp/current/hadoop-client/conf start datanode'' returned 1. su: cannot open session: Permission denied” 是切换到hdfs用户(su hdfs)的时候,被Permission denied,请问大家有办法可以解决吗?非常感谢!!! ![图片说明](https://img-ask.csdn.net/upload/201904/29/1556540883_509077.jpg)
flume可以监控hdfs上的指定目录吗
现在需要监控hdfs上的一个目录 把新增文件传到另一个hdfs上 目前想到的就是flume 大佬们求帮助,或者其他组建有能完成的吗。
hdfs中可以存储几个目录吗,怎么配置的?
hdfs中可以存储几个目录吗,怎么配置的?如果能就在HDfS dfs.data.dir配置下填了两个目录吧,那实际在存数据的时候这两个目录的权重怎么分配的呢
相见恨晚的超实用网站
搞学习 知乎:www.zhihu.com 简答题:http://www.jiandati.com/ 网易公开课:https://open.163.com/ted/ 网易云课堂:https://study.163.com/ 中国大学MOOC:www.icourse163.org 网易云课堂:study.163.com 哔哩哔哩弹幕网:www.bilibili.com 我要自学网:www.51zxw
花了20分钟,给女朋友们写了一个web版群聊程序
参考博客 [1]https://www.byteslounge.com/tutorials/java-ee-html5-websocket-example
爬虫福利二 之 妹子图网MM批量下载
爬虫福利一:27报网MM批量下载    点击 看了本文,相信大家对爬虫一定会产生强烈的兴趣,激励自己去学习爬虫,在这里提前祝:大家学有所成! 目标网站:妹子图网 环境:Python3.x 相关第三方模块:requests、beautifulsoup4 Re:各位在测试时只需要将代码里的变量 path 指定为你当前系统要保存的路径,使用 python xxx.py 或IDE运行即可。
字节跳动视频编解码面经
引言 本文主要是记录一下面试字节跳动的经历。 三四月份投了字节跳动的实习(图形图像岗位),然后hr打电话过来问了一下会不会opengl,c++,shador,当时只会一点c++,其他两个都不会,也就直接被拒了。 七月初内推了字节跳动的提前批,因为内推没有具体的岗位,hr又打电话问要不要考虑一下图形图像岗,我说实习投过这个岗位不合适,不会opengl和shador,然后hr就说秋招更看重基础。我当时
开源一个功能完整的SpringBoot项目框架
福利来了,给大家带来一个福利。 最近想了解一下有关Spring Boot的开源项目,看了很多开源的框架,大多是一些demo或者是一个未成形的项目,基本功能都不完整,尤其是用户权限和菜单方面几乎没有完整的。 想到我之前做的框架,里面通用模块有:用户模块,权限模块,菜单模块,功能模块也齐全了,每一个功能都是完整的。 打算把这个框架分享出来,供大家使用和学习。 为什么用框架? 框架可以学习整体
Java学习的正确打开方式
在博主认为,对于入门级学习java的最佳学习方法莫过于视频+博客+书籍+总结,前三者博主将淋漓尽致地挥毫于这篇博客文章中,至于总结在于个人,实际上越到后面你会发现学习的最好方式就是阅读参考官方文档其次就是国内的书籍,博客次之,这又是一个层次了,这里暂时不提后面再谈。博主将为各位入门java保驾护航,各位只管冲鸭!!!上天是公平的,只要不辜负时间,时间自然不会辜负你。 何谓学习?博主所理解的学习,它
程序员必须掌握的核心算法有哪些?
由于我之前一直强调数据结构以及算法学习的重要性,所以就有一些读者经常问我,数据结构与算法应该要学习到哪个程度呢?,说实话,这个问题我不知道要怎么回答你,主要取决于你想学习到哪些程度,不过针对这个问题,我稍微总结一下我学过的算法知识点,以及我觉得值得学习的算法。这些算法与数据结构的学习大多数是零散的,并没有一本把他们全部覆盖的书籍。下面是我觉得值得学习的一些算法以及数据结构,当然,我也会整理一些看过
Python——画一棵漂亮的樱花树(不同种樱花+玫瑰+圣诞树喔)
最近翻到一篇知乎,上面有不少用Python(大多是turtle库)绘制的树图,感觉很漂亮,我整理了一下,挑了一些我觉得不错的代码分享给大家(这些我都测试过,确实可以生成喔~) one 樱花树 动态生成樱花 效果图(这个是动态的): 实现代码 import turtle as T import random import time # 画樱花的躯干(60,t) def Tree(branch
深深的码丨Java HashMap 透析
HashMap 相关概念 HashTab、HashMap、TreeMap 均以键值对像是存储或操作数据元素。HashTab继承自Dictionary,HashMap、TreeMap继承自AbstractMap,三者均实现Map接口 **HashTab:**同步哈希表,不支持null键或值,因为同步导致性能影响,很少被使用 **HashMap:**应用较多的非同步哈希表,支持null键或值,是键值对...
大学四年自学走来,这些私藏的实用工具/学习网站我贡献出来了
大学四年,看课本是不可能一直看课本的了,对于学习,特别是自学,善于搜索网上的一些资源来辅助,还是非常有必要的,下面我就把这几年私藏的各种资源,网站贡献出来给你们。主要有:电子书搜索、实用工具、在线视频学习网站、非视频学习网站、软件下载、面试/求职必备网站。 注意:文中提到的所有资源,文末我都给你整理好了,你们只管拿去,如果觉得不错,转发、分享就是最大的支持了。 一、电子书搜索 对于大部分程序员...
linux系列之常用运维命令整理笔录
本博客记录工作中需要的linux运维命令,大学时候开始接触linux,会一些基本操作,可是都没有整理起来,加上是做开发,不做运维,有些命令忘记了,所以现在整理成博客,当然vi,文件操作等就不介绍了,慢慢积累一些其它拓展的命令,博客不定时更新 顺便拉下票,我在参加csdn博客之星竞选,欢迎投票支持,每个QQ或者微信每天都可以投5票,扫二维码即可,http://m234140.nofollow.ax.
Python 基础(一):入门必备知识
目录1 标识符2 关键字3 引号4 编码5 输入输出6 缩进7 多行8 注释9 数据类型10 运算符10.1 常用运算符10.2 运算符优先级 1 标识符 标识符是编程时使用的名字,用于给变量、函数、语句块等命名,Python 中标识符由字母、数字、下划线组成,不能以数字开头,区分大小写。 以下划线开头的标识符有特殊含义,单下划线开头的标识符,如:_xxx ,表示不能直接访问的类属性,需通过类提供
程序员接私活怎样防止做完了不给钱?
首先跟大家说明一点,我们做 IT 类的外包开发,是非标品开发,所以很有可能在开发过程中会有这样那样的需求修改,而这种需求修改很容易造成扯皮,进而影响到费用支付,甚至出现做完了项目收不到钱的情况。 那么,怎么保证自己的薪酬安全呢? 我们在开工前,一定要做好一些证据方面的准备(也就是“讨薪”的理论依据),这其中最重要的就是需求文档和验收标准。一定要让需求方提供这两个文档资料作为开发的基础。之后开发
网页实现一个简单的音乐播放器(大佬别看。(⊙﹏⊙))
今天闲着无事,就想写点东西。然后听了下歌,就打算写个播放器。 于是乎用h5 audio的加上js简单的播放器完工了。 欢迎 改进 留言。 演示地点跳到演示地点 html代码如下`&lt;!DOCTYPE html&gt; &lt;html&gt; &lt;head&gt; &lt;title&gt;music&lt;/title&gt; &lt;meta charset="utf-8"&gt
Python十大装B语法
Python 是一种代表简单思想的语言,其语法相对简单,很容易上手。不过,如果就此小视 Python 语法的精妙和深邃,那就大错特错了。本文精心筛选了最能展现 Python 语法之精妙的十个知识点,并附上详细的实例代码。如能在实战中融会贯通、灵活使用,必将使代码更为精炼、高效,同时也会极大提升代码B格,使之看上去更老练,读起来更优雅。 1. for - else 什么?不是 if 和 else 才
数据库优化 - SQL优化
前面一篇文章从实例的角度进行数据库优化,通过配置一些参数让数据库性能达到最优。但是一些“不好”的SQL也会导致数据库查询变慢,影响业务流程。本文从SQL角度进行数据库优化,提升SQL运行效率。 判断问题SQL 判断SQL是否有问题时可以通过两个表象进行判断: 系统级别表象 CPU消耗严重 IO等待严重 页面响应时间过长
2019年11月中国大陆编程语言排行榜
2019年11月2日,我统计了某招聘网站,获得有效程序员招聘数据9万条。针对招聘信息,提取编程语言关键字,并统计如下: 编程语言比例 rank pl_ percentage 1 java 33.62% 2 c/c++ 16.42% 3 c_sharp 12.82% 4 javascript 12.31% 5 python 7.93% 6 go 7.25% 7
通俗易懂地给女朋友讲:线程池的内部原理
餐厅的约会 餐盘在灯光的照耀下格外晶莹洁白,女朋友拿起红酒杯轻轻地抿了一小口,对我说:“经常听你说线程池,到底线程池到底是个什么原理?”我楞了一下,心里想女朋友今天是怎么了,怎么突然问出这么专业的问题,但做为一个专业人士在女朋友面前也不能露怯啊,想了一下便说:“我先给你讲讲我前同事老王的故事吧!” 大龄程序员老王 老王是一个已经北漂十多年的程序员,岁数大了,加班加不动了,升迁也无望,于是拿着手里
经典算法(5)杨辉三角
杨辉三角 是经典算法,这篇博客对它的算法思想进行了讲解,并有完整的代码实现。
腾讯算法面试题:64匹马8个跑道需要多少轮才能选出最快的四匹?
昨天,有网友私信我,说去阿里面试,彻底的被打击到了。问了为什么网上大量使用ThreadLocal的源码都会加上private static?他被难住了,因为他从来都没有考虑过这个问题。无独有偶,今天笔者又发现有网友吐槽了一道腾讯的面试题,我们一起来看看。 腾讯算法面试题:64匹马8个跑道需要多少轮才能选出最快的四匹? 在互联网职场论坛,一名程序员发帖求助到。二面腾讯,其中一个算法题:64匹
面试官:你连RESTful都不知道我怎么敢要你?
面试官:了解RESTful吗? 我:听说过。 面试官:那什么是RESTful? 我:就是用起来很规范,挺好的 面试官:是RESTful挺好的,还是自我感觉挺好的 我:都挺好的。 面试官:… 把门关上。 我:… 要干嘛?先关上再说。 面试官:我说出去把门关上。 我:what ?,夺门而去 文章目录01 前言02 RESTful的来源03 RESTful6大原则1. C-S架构2. 无状态3.统一的接
JDK12 Collectors.teeing 你真的需要了解一下
前言 在 Java 12 里面有个非常好用但在官方 JEP 没有公布的功能,因为它只是 Collector 中的一个小改动,它的作用是 merge 两个 collector 的结果,这句话显得很抽象,老规矩,我们先来看个图(这真是一个不和谐的图????): 管道改造经常会用这个小东西,通常我们叫它「三通」,它的主要作用就是将 downstream1 和 downstre...
为啥国人偏爱Mybatis,而老外喜欢Hibernate/JPA呢?
关于SQL和ORM的争论,永远都不会终止,我也一直在思考这个问题。昨天又跟群里的小伙伴进行了一番讨论,感触还是有一些,于是就有了今天这篇文。 声明:本文不会下关于Mybatis和JPA两个持久层框架哪个更好这样的结论。只是摆事实,讲道理,所以,请各位看官勿喷。 一、事件起因 关于Mybatis和JPA孰优孰劣的问题,争论已经很多年了。一直也没有结论,毕竟每个人的喜好和习惯是大不相同的。我也看
项目中的if else太多了,该怎么重构?
介绍 最近跟着公司的大佬开发了一款IM系统,类似QQ和微信哈,就是聊天软件。我们有一部分业务逻辑是这样的 if (msgType = "文本") { // dosomething } else if(msgType = "图片") { // doshomething } else if(msgType = "视频") { // doshomething } else { // doshom...
致 Python 初学者
欢迎来到“Python进阶”专栏!来到这里的每一位同学,应该大致上学习了很多 Python 的基础知识,正在努力成长的过程中。在此期间,一定遇到了很多的困惑,对未来的学习方向感到迷茫。我非常理解你们所面临的处境。我从2007年开始接触 python 这门编程语言,从2009年开始单一使用 python 应对所有的开发工作,直至今天。回顾自己的学习过程,也曾经遇到过无数的困难,也曾经迷茫过、困惑过。开办这个专栏,正是为了帮助像我当年一样困惑的 Python 初学者走出困境、快速成长。希望我的经验能真正帮到你
“狗屁不通文章生成器”登顶GitHub热榜,分分钟写出万字形式主义大作
一、垃圾文字生成器介绍 最近在浏览GitHub的时候,发现了这样一个骨骼清奇的雷人项目,而且热度还特别高。 项目中文名:狗屁不通文章生成器 项目英文名:BullshitGenerator 根据作者的介绍,他是偶尔需要一些中文文字用于GUI开发时测试文本渲染,因此开发了这个废话生成器。但由于生成的废话实在是太过富于哲理,所以最近已经被小伙伴们给玩坏了。 他的文风可能是这样的: 你发现,...
程序员:我终于知道post和get的区别
是一个老生常谈的话题,然而随着不断的学习,对于以前的认识有很多误区,所以还是需要不断地总结的,学而时习之,不亦说乎
《程序人生》系列-这个程序员只用了20行代码就拿了冠军
你知道的越多,你不知道的越多 点赞再看,养成习惯GitHub上已经开源https://github.com/JavaFamily,有一线大厂面试点脑图,欢迎Star和完善 前言 这一期不算《吊打面试官》系列的,所有没前言我直接开始。 絮叨 本来应该是没有这期的,看过我上期的小伙伴应该是知道的嘛,双十一比较忙嘛,要值班又要去帮忙拍摄年会的视频素材,还得搞个程序员一天的Vlog,还要写BU...
加快推动区块链技术和产业创新发展,2019可信区块链峰会在京召开
11月8日,由中国信息通信研究院、中国通信标准化协会、中国互联网协会、可信区块链推进计划联合主办,科技行者协办的2019可信区块链峰会将在北京悠唐皇冠假日酒店开幕。   区块链技术被认为是继蒸汽机、电力、互联网之后,下一代颠覆性的核心技术。如果说蒸汽机释放了人类的生产力,电力解决了人类基本的生活需求,互联网彻底改变了信息传递的方式,区块链作为构造信任的技术有重要的价值。   1...
程序员把地府后台管理系统做出来了,还有3.0版本!12月7号最新消息:已在开发中有github地址
第一幕:缘起 听说阎王爷要做个生死簿后台管理系统,我们派去了一个程序员…… 996程序员做的梦: 第一场:团队招募 为了应对地府管理危机,阎王打算找“人”开发一套地府后台管理系统,于是就在地府总经办群中发了项目需求。 话说还是中国电信的信号好,地府都是满格,哈哈!!! 经常会有外行朋友问:看某网站做的不错,功能也简单,你帮忙做一下? 而这次,面对这样的需求,这个程序员...
相关热词 c# plc s1200 c#里氏转换原则 c# 主界面 c# do loop c#存为组套 模板 c# 停掉协程 c# rgb 读取图片 c# 图片颜色调整 最快 c#多张图片上传 c#密封类与密封方法
立即提问