hadoop fs -ls /命令提示UnknownHostException:ns1

,ns1是集群id, namenode,datanode,yarn都可以正常启动。2个namenode组成ns1集群,3个datanode
求大神解答,已经快疯掉了

ha

2个回答

看一下master和slave各机器的hosts配的都对么

所有机子的hosts都如下配置:
172.16.84.201 cast1
172.16.84.202 cast2
172.16.84.203 cast3
172.16.84.204 cast4
172.16.84.205 cast5
172.16.84.206 cast6
其中cast1,cast2为两个namenode,cast3上跑yarn,cast4,cast5,cast6为三个datanode。

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使用kerberos认证后,hadoop fs -ls命令行无法使用,求大神帮忙
hadoop版本apache hadoop 2.7.3,jdk-1.7 输入hadoop fs -ls,错误信息如下: hadoop@hadoop01 native]$ hadoop fs -ls 17/08/01 01:33:36 WARN ipc.Client: Exception encountered while connecting to the server : javax.security.sasl.SaslException: GSS initiate failed [Caused by GSSException: No valid credentials provided (Mechanism level: Failed to find any Kerberos tgt)] ls: Failed on local exception: java.io.IOException: javax.security.sasl.SaslException: GSS initiate failed [Caused by GSSException: No valid credentials provided (Mechanism level: Failed to find any Kerberos tgt)]; Host Details : local host is: "hadoop01/192.168.148.129"; destination host is: "hadoop01":9000; klist查看凭据缓存,是存在的: [hadoop@hadoop01 native]$ klist Ticket cache: KEYRING:persistent:1001:1001 Default principal: hadoop/hadoop01@HADOOP.COM Valid starting Expires Service principal 08/01/2017 01:12:54 08/02/2017 01:12:54 krbtgt/HADOOP.COM@HADOOP.COM 通过http://192.168.148.129:50070/dfshealth.html#tab-overview访问界面也是OK的: Configured Capacity: 55.38 GB DFS Used: 16 KB (0%) Non DFS Used: 11.4 GB DFS Remaining: 43.99 GB (79.42%) Block Pool Used: 16 KB (0%) DataNodes usages% (Min/Median/Max/stdDev): 0.00% / 0.00% / 0.00% / 0.00% Live Nodes 2 (Decommissioned: 0) Dead Nodes 0 (Decommissioned: 0) Decommissioning Nodes 0 Total Datanode Volume Failures 0 (0 B) Number of Under-Replicated Blocks 0 Number of Blocks Pending Deletion 0 Block Deletion Start Time 2017/8/1 上午10:12:21
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)
求助:hbase list_namespace查不到以前建的表空间,但是 hadoop fs -ls 可以看到目录 ?
进入hbase shell, 用 list 命令可以查看到我的表空间(dw_data)和表(a_organ 等等),是可以查出来: ![图片说明](https://img-ask.csdn.net/upload/201906/14/1560480824_576294.png) 然后用 list_namespace 命令查看, 发现表空间(dw_data)不在了: ![图片说明](https://img-ask.csdn.net/upload/201906/14/1560480639_398746.png) 当然表空间下面的表也不存在了: ![图片说明](https://img-ask.csdn.net/upload/201906/14/1560480947_745593.png) 用 hadoop fs -ls /hbase/data 命令,查看dw_data的目录是有的: ![图片说明](https://img-ask.csdn.net/upload/201906/14/1560481129_119155.png) 里面的表的目录也是有的: ![图片说明](https://img-ask.csdn.net/upload/201906/14/1560481139_418393.png) 求助,怎么让hbase可以识别到dw_data表空间和它的表?
Ccentos6 编译hadoop2.6 b报错
http://my.csdn.net/my/mycsdnFailed to execute goal org.apache.maven.plugins:maven-antrun-plugin:1.7:run (make) on project hadoop-common: An Ant BuildException has occured: Execute failed: java.io.IOException: Cannot run program "cmake" (in directory "/usr/hadoop-2.6.0-src/hadoop-common-project/hadoop-common/target/native"): error=2, No such file or directory [ERROR] around Ant part ...<exec dir="/usr/hadoop-2.6.0-src/hadoop-common-project/hadoop-common/target/native" executable="cmake" failonerror="true">... @ 4:125 in /usr/hadoop-2.6.0-src/hadoop-common-project/hadoop-common/target/antrun/build-main.xml
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:~$ ```
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
Azkaban和Hadoop2.5.1集成出现的问题
Using Hadoop from /usr/local/hadoop-suite/hadoop Using Hive from /usr/local/hadoop-suite/hive bin/.. /usr/local/jdk/lib/tools.jar:/usr/local/jdk/lib/dt.jar:bin/../lib/azkaban-common-2.6.4.jar:bin/../lib/azkaban-webserver-2.6.4.jar:bin/../lib/commons-codec-1.9.jar:bin/../lib/commons-collections-3.2.1.jar:bin/../lib/commons-configuration-1.8.jar:bin/../lib/commons-dbcp-1.4.jar:bin/../lib/commons-dbutils-1.5.jar:bin/../lib/commons-email-1.2.jar:bin/../lib/commons-fileupload-1.2.1.jar:bin/../lib/commons-io-2.4.jar:bin/../lib/commons-jexl-2.1.1.jar:bin/../lib/commons-lang-2.6.jar:bin/../lib/commons-logging-1.1.1.jar:bin/../lib/commons-pool-1.6.jar:bin/../lib/data-1.15.7.jar:bin/../lib/gradle-plugins-1.15.7.jar:bin/../lib/guava-13.0.1.jar:bin/../lib/h2-1.3.170.jar:bin/../lib/httpclient-4.2.1.jar:bin/../lib/httpcore-4.2.1.jar:bin/../lib/jackson-core-2.3.2.jar:bin/../lib/jackson-core-asl-1.9.5.jar:bin/../lib/jackson-mapper-asl-1.9.5.jar:bin/../lib/jetty-6.1.26.jar:bin/../lib/jetty-util-6.1.26.jar:bin/../lib/joda-time-2.0.jar:bin/../lib/jopt-simple-4.3.jar:bin/../lib/li-jersey-uri-1.15.7.jar:bin/../lib/log4j-1.2.16.jar:bin/../lib/mail-1.4.5.jar:bin/../lib/mysql-connector-java-5.1.28.jar:bin/../lib/parseq-1.3.7.jar:bin/../lib/pegasus-common-1.15.7.jar:bin/../lib/r2-1.15.7.jar:bin/../lib/restli-common-1.15.7.jar:bin/../lib/restli-server-1.15.7.jar:bin/../lib/servlet-api-2.5.jar:bin/../lib/slf4j-api-1.6.1.jar:bin/../lib/velocity-1.7.jar:bin/../lib/velocity-tools-2.0.jar:bin/../extlib/azkaban-common-2.6.4.jar:bin/../extlib/azkaban-execserver-2.6.4.jar:bin/../extlib/azkaban-webserver-2.6.4.jar:bin/../extlib/commons-cli-1.2.jar:bin/../extlib/hadoop-auth-2.5.1.jar:bin/../extlib/hadoop-common-2.5.1.jar:bin/../extlib/hadoop-hdfs-2.5.1.jar:bin/../extlib/hive-cli-0.13.1.jar:bin/../extlib/hive-common-0.13.1.jar:bin/../extlib/hive-exec-0.13.1.jar:bin/../extlib/jackson-core-asl-1.9.5.jar:bin/../extlib/jackson-mapper-asl-1.9.5.jar:bin/../extlib/log4j-1.2.16.jar:bin/../extlib/protobuf-java-2.5.0.jar:bin/../extlib/servlet-api-2.5.jar:bin/../extlib/slf4j-api-1.6.1.jar:bin/../extlib/slf4j-log4j12-1.6.4.jar:bin/../extlib/velocity-1.7.jar:bin/../extlib/velocity-tools-2.0.jar:bin/../plugins/*/*.jar:/usr/local/hadoop-suite/hadoop/conf:/usr/local/hadoop-suite/hadoop/*:/usr/local/hadoop-suite/hive/conf:/usr/local/hadoop-suite/hive/lib/* 2015/01/21 16:02:33.518 +0800 ERROR [AzkabanWebServer] [Azkaban] Starting Jetty Azkaban Executor... 2015/01/21 16:02:33.937 +0800 ERROR [AzkabanWebServer] [Azkaban] Plugin class azkaban.viewer.hdfs.HdfsBrowserServlet 2015/01/21 16:02:33.941 +0800 INFO [AzkabanWebServer] [Azkaban] Source jar /usr/local/hadoop-suite/azkaban-web-2.6.4-old/plugins/viewer/hdfs/lib/azkaban-hdfs-viewer-2.6.4.jar 2015/01/21 16:02:33.945 +0800 ERROR [AzkabanWebServer] [Azkaban] Plugin class azkaban.viewer.javaviewer.JavaViewerServlet 2015/01/21 16:02:33.946 +0800 INFO [AzkabanWebServer] [Azkaban] Source jar /usr/local/hadoop-suite/azkaban-web-2.6.4-old/plugins/viewer/javaviewer/lib/azkaban-javaviewer-2.6.3.jar 2015/01/21 16:02:33.947 +0800 ERROR [AzkabanWebServer] [Azkaban] Plugin class azkaban.viewer.reportal.ReportalServlet 2015/01/21 16:02:33.947 +0800 ERROR [AzkabanWebServer] [Azkaban] External library path /usr/local/hadoop-suite/azkaban-web-2.6.4-old/plugins/viewer/reportal/extlib not found. 2015/01/21 16:02:33.950 +0800 INFO [AzkabanWebServer] [Azkaban] Source jar /usr/local/hadoop-suite/azkaban-web-2.6.4-old/plugins/viewer/reportal/lib/azkaban-reportal-$%7Bgit.tag%7D.jar Reportal web resources: /usr/local/hadoop-suite/azkaban-web-2.6.4-old/plugins/viewer/reportal/web 2015/01/21 16:02:33.953 +0800 ERROR [AzkabanWebServer] [Azkaban] Plugin class azkaban.viewer.jobsummary.JobSummaryServlet 2015/01/21 16:02:33.953 +0800 ERROR [AzkabanWebServer] [Azkaban] External library path /usr/local/hadoop-suite/azkaban-web-2.6.4-old/plugins/viewer/jobsummary/extlib/* not found.
Presto调用Hive启动时显示报错/usr/bin/env: 'python': No such file or directory
Presto的配置如下: 节点属性:node.properties ``` node.environment=production node.id=ffffffff-ffff-ffff-ffff-ffffffffffff node.data-dir=/var/presto/data ``` 配置属性:config.properties ``` coordinator=true node-scheduler.include-coordinator=true http-server.http.port=8080 query.max-memory=5GB query.max-memory-per-node=1GB discovery-server.enabled=true discovery.uri=http://hadoop1:8080 ``` JVM Config ```-server -Xmx16G -XX:+UseG1GC -XX:G1HeapRegionSize=32M -XX:+UseGCOverheadLimit -XX:+ExplicitGCInvokesConcurrent -XX:+HeapDumpOnOutOfMemoryError -XX:+ExitOnOutOfMemoryError ``` 连接Hive的配置 ``` connector.name=hive-hadoop2 hive.metastore.uri=thrift://hadoop1:9083 hive.config.resources=/usr/local/hadoop/etc/hadoop/core-site.xml,/usr/local/hadoop/etc/hadoop/hdfs-site.xml ``` 以上就是在presto的所有配置 启动时就显示报错 ``` root@hadoop1:/usr/local/presto-server-0.225# bin/launcher start /usr/bin/env: 'python': No such file or directory ``` 但是我的系统是有python的 ``` root@hadoop1:# python3 -V Python 3.6.8 ``` 请问,这个如何解决 新手求教,求助各位大佬们,拜托了。
Cygwin -sh: /ect/passwd: No such file or directory
cygwin配置"ssh-host-config"启动后提示: ERROR: Problem with LocalSystem or Adminstrator ID_s ![图片说明](https://img-ask.csdn.net/upload/201501/20/1421742893_215019.png) 然后按照网上找的方法 执行了命令$ mkpasswd -l > /etc/passwd 来修改权限 结果提示-sh: /ect/passwd: No such file or directory找不到文件 ![图片说明](https://img-ask.csdn.net/upload/201501/20/1421743144_632822.jpg) 另外:我安装配置cygwin是在域环境下的,不知道是不是这个原因 谁知道怎么解决吗?怎么成功配置cygwin?? 谢谢了
hadoop streaming 求助!!!!!!!!
单机伪分布模式下 老报ERROR求解决 [root@localhost hadoop-1.0.1]# bin/hadoop jar contrib/streaming/hadoop-streaming-1.0.1.jar -file /home/hul/HadoopTestMap -file /home/hul/HadoopTestReduce -mapper /user/root/in/HadoopTestMap -reducer /user/root/in/HadoopTestReduce -input /user/root/in/Test.txt -output /user/root/out/123.txt packageJobJar: [/home/hul/HadoopTestMap, /home/hul/HadoopTestReduce, /tmp/hadoop-root/hadoop-unjar8224371331961097912/] [] /tmp/streamjob8473444495668295229.jar tmpDir=null 14/03/07 21:22:41 INFO mapred.FileInputFormat: Total input paths to process : 1 14/03/07 21:22:42 INFO streaming.StreamJob: getLocalDirs(): [/tmp/hadoop-root/mapred/local] 14/03/07 21:22:42 INFO streaming.StreamJob: Running job: job_201403072024_0003 14/03/07 21:22:42 INFO streaming.StreamJob: To kill this job, run: 14/03/07 21:22:42 INFO streaming.StreamJob: /root/hadoop-1.0.1/libexec/../bin/hadoop job -Dmapred.job.tracker=localhost:9001 -kill job_201403072024_0003 14/03/07 21:22:42 INFO streaming.StreamJob: Tracking URL: http://localhost.localdomain:50030/jobdetails.jsp?jobid=job_201403072024_0003 14/03/07 21:22:43 INFO streaming.StreamJob: map 0% reduce 0% 14/03/07 21:23:47 INFO streaming.StreamJob: map 100% reduce 100% 14/03/07 21:23:47 INFO streaming.StreamJob: To kill this job, run: 14/03/07 21:23:47 INFO streaming.StreamJob: /root/hadoop-1.0.1/libexec/../bin/hadoop job -Dmapred.job.tracker=localhost:9001 -kill job_201403072024_0003 14/03/07 21:23:47 INFO streaming.StreamJob: Tracking URL: http://localhost.localdomain:50030/jobdetails.jsp?jobid=job_201403072024_0003 14/03/07 21:23:47 ERROR streaming.StreamJob: Job not successful. Error: # of failed Map Tasks exceeded allowed limit. FailedCount: 1. LastFailedTask: task_201403072024_0003_m_000000 14/03/07 21:23:47 INFO streaming.StreamJob: killJob...
编译安装hadoop-2.5.0-rc1,程序包com.sun.javadoc不存在
编译安装hadoop-2.5.0-rc1,报如下错,求指点: [ERROR] Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:2.5.1:compile (default-compile) on project hadoop-annotations: Compilation failure: Compilation failure: [ERROR] /usr/local/src/release-2.5.0-rc1/hadoop-common-project/hadoop-annotations/src/main/java/org/apache/hadoop/classification/tools/ExcludePrivateAnnotationsJDiffDoclet.java:[20,22] 错误: 程序包com.sun.javadoc不存在
求教,hadoop-2.2.0升级hadoop-2.6.0。
最近需要升级hadoop,从hadoop-2.2.0升级到hadoop-2.6.0,根据http://hadoop.apache.org/docs/r2.6.0/hadoop-project-dist/hadoop-hdfs/HdfsRollingUpgrade.html#dfsadmin_-rollingUpgrade 提示的来,第一步:./bin/hdfs dfsadmin -rollingUPgrade prepare 就出现了:PREPARE rolling upgrade ... rollingUpgrade: Unknown method rollingUpgrade called on org.apache.hadoop.hdfs.protocol.ClientProtocol protocol.
Hadoop -mkdir /user不能创建目录
本人刚开始学习Hadoop,使用 Hadoop -mkdir /user 指令时,提示错误为: Unrecognized option: -mkdir Error: Could not create the Java Virtual Machine. Error: A fatal exception has occurred. Program will exit. 这是什么原因,为什么说不能识别-mkdir,不知道我那个地方错了,求大神们指点一下。谢谢!
ubuntu 64位编译hadoop-2.6.0失败,网上看了好久,都没解决,大神速来解救
[exec] CMake Error at /usr/local/share/cmake-2.6/Modules/FindPackageHandleStandardArgs.cmake:52 (MESSAGE): [exec] Could NOT find ZLIB [exec] Call Stack (most recent call first): [exec] /usr/local/share/cmake-2.6/Modules/FindZLIB.cmake:22 (FIND_PACKAGE_HANDLE_STANDARD_ARGS) [exec] CMakeLists.txt:107 (find_package) [ERROR] Failed to execute goal org.apache.maven.plugins:maven-antrun-plugin:1.7:run (make) on project hadoop-common: An Ant BuildException has occured: exec returned: 1 [ERROR] around Ant part ...<exec dir="/home/cj/workspace/hadoop-2.6.0-src/hadoop-common-project/hadoop-common/target/native" executable="cmake" failonerror="true">... @ 4:139 in /home/cj/workspace/hadoop-2.6.0-src/hadoop-common-project/hadoop-common/target/antrun/build-main.xml [ERROR] -> [Help 1] [ERROR] [ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch. [ERROR] Re-run Maven using the -X switch to enable full debug logging. [ERROR] [ERROR] For more information about the errors and possible solutions, please read the following articles: [ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/MojoExecutionException [ERROR] [ERROR] After correcting the problems, you can resume the build with the command [ERROR] mvn <goals> -rf :hadoop-common 好像是 Could NOT find ZLIB引起的
萌妹子 求解hadoop集群搭建 ZKFC报错
hdfs zkfc -formatZK执行后: WARNING: Before proceeding, ensure that all HDFS services and failover controllers are stopped! =============================================== Proceed formatting /hadoop-ha/mycluster? (Y or N) 16/02/26 01:18:56 INFO ha.ActiveStandbyElector: Session connected. y 16/02/26 01:19:12 INFO ha.ActiveStandbyElector: Recursively deleting /hadoop-ha/mycluster from ZK... 16/02/26 01:19:12 INFO ha.ActiveStandbyElector: Successfully deleted /hadoop-ha/mycluster from ZK. 16/02/26 01:19:12 INFO ha.ActiveStandbyElector: Successfully created /hadoop-ha/mycluster in ZK. 16/02/26 01:19:12 INFO zookeeper.ClientCnxn: EventThread shut down 16/02/26 01:19:12 INFO zookeeper.ZooKeeper: Session: 0x153196bc9790000 closed 结果ZKFC还是没起来,然后我尝试: [root@h1 ~]# hadoop-daemon.sh start DFSZKFailoverController ......... Error: Could not find or load main class DFSZKFailoverController 但仍然报错!
osx下编译hadoop2.5.2的时候报错Ant BuildException
[ERROR] Failed to execute goal org.apache.maven.plugins:maven-antrun-plugin:1.7:run (site) on project hadoop-common: An Ant BuildException has occured: stylesheet /Users/narayan/Downloads/hadoop-2.5.2-src/hadoop-common-project/hadoop-common/${env.FINDBUGS_HOME}/src/xsl/default.xsl doesn't exist. [ERROR] around Ant part ...<xslt style="${env.FINDBUGS_HOME}/src/xsl/default.xsl" in="/Users/narayan/Downloads/hadoop-2.5.2-src/hadoop-common-project/hadoop-common/target/findbugsXml.xml" out="/Users/narayan/Downloads/hadoop-2.5.2-src/hadoop-common-project/hadoop-common/target/site/findbugs.html"/>... @ 44:275 in /Users/narayan/Downloads/hadoop-2.5.2-src/hadoop-common-project/hadoop-common/target/antrun/build-main.xml [ERROR] -> [Help 1] [ERROR] [ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch. [ERROR] Re-run Maven using the -X switch to enable full debug logging. [ERROR] [ERROR] For more information about the errors and possible solutions, please read the following articles: [ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/MojoExecutionException [ERROR] [ERROR] After correcting the problems, you can resume the build with the command [ERROR] mvn <goals> -rf :hadoop-common 网上查是说少了findbugs?但是我brew安装了findbugs之后依然报错。然后说是在安装目录下$ ant 然后 Buildfile: build.xml does not exist! Build failed 还是需要其他的什么设置么?
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:
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](https://img-ask.csdn.net/upload/201902/16/1550308582_593413.png) 但如果在bin目录下,显示正确,如图: ![图片说明](https://img-ask.csdn.net/upload/201902/16/1550307272_437929.png) 环境变量如图: ![图片说明](https://img-ask.csdn.net/upload/201902/16/1550307296_326384.png) 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](https://img-ask.csdn.net/upload/201902/16/1550307367_203815.png) 请问有人知道这是怎么回事吗?
Hadoop2.6.0集群用hadoop df -mkdir -p创建文件
我用hadoop2.6.0创建了一个master和4个worker的集群,启动hdfs后,用hadoop fs -mkdir -p /data/wordcount文件夹后,在worker:50075上看不到我新建的这个文件, 请问下各位是为什么
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
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
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.
比特币原理详解
一、什么是比特币 比特币是一种电子货币,是一种基于密码学的货币,在2008年11月1日由中本聪发表比特币白皮书,文中提出了一种去中心化的电子记账系统,我们平时的电子现金是银行来记账,因为银行的背后是国家信用。去中心化电子记账系统是参与者共同记账。比特币可以防止主权危机、信用风险。其好处不多做赘述,这一层面介绍的文章很多,本文主要从更深层的技术原理角度进行介绍。 二、问题引入 假设现有4个人...
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
这30个CSS选择器,你必须熟记(上)
关注前端达人,与你共同进步CSS的魅力就是让我们前端工程师像设计师一样进行网页的设计,我们能轻而易举的改变颜色、布局、制作出漂亮的影音效果等等,我们只需要改几行代码,不需...
国产开源API网关项目进入Apache孵化器:APISIX
点击蓝色“程序猿DD”关注我回复“资源”获取独家整理的学习资料!近日,又有一个开源项目加入了这个Java开源界大名鼎鼎的Apache基金会,开始进行孵化器。项目名称:AP...
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。
编写Spring MVC控制器的14个技巧
本期目录 1.使用@Controller构造型 2.实现控制器接口 3.扩展AbstractController类 4.为处理程序方法指定URL映射 5.为处理程序方法指定HTTP请求方法 6.将请求参数映射到处理程序方法 7.返回模型和视图 8.将对象放入模型 9.处理程序方法中的重定向 10.处理表格提交和表格验证 11.处理文件上传 12.在控制器中自动装配业务类 ...
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
求小姐姐抠图竟遭白眼?痛定思痛,我决定用 Python 自力更生!
点击蓝色“Python空间”关注我丫加个“星标”,每天一起快乐的学习大家好,我是 Rocky0429,一个刚恰完午饭,正在用刷网页浪费生命的蒟蒻...一堆堆无聊八卦信息的网页内容慢慢使我的双眼模糊,一个哈欠打出了三斤老泪,就在此时我看到了一张图片:是谁!是谁把我女朋友的照片放出来的!awsl!太好看了叭...等等,那个背景上的一堆鬼画符是什么鬼?!真是看不下去!叔叔婶婶能忍,隔壁老王的三姨妈的四表...
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
SQL-小白最佳入门sql查询一
不要偷偷的查询我的个人资料,即使你再喜欢我,也不要这样,真的不好;
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...
相关热词 c#处理浮点数 c# 生成字母数字随机数 c# 动态曲线 控件 c# oracle 开发 c#选择字体大小的控件 c# usb 批量传输 c#10进制转8进制 c#转base64 c# 科学计算 c#下拉列表获取串口
立即提问