docker中部署hadoop、zookeeper、hbase伪分布式并上传到阿里云远程仓库
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docker中部署hadoop、zookeeper、hbase伪分布式并上传到阿里云远程仓库
小編覺得挺不錯的,現在分享給大家,幫大家做個參考.
**
背景
**
docker有一點好處就是，一次完成，處處運行，所以此次并非直接在centos系統上直接運行hadoop，而是在docker容器（container）里進行安裝。
（1）
首先寫好dockerfile文件，然后使用docker build命令進行創建鏡像，這時候出來的鏡像內部只有centos基礎環境與hadoop和jdk的安裝包和一些基礎的用戶組配置
dockerfile文件：
（ps：moudle應為module，拼寫出錯）
執行命令前，先把對應的hadoop和jdk的jar包放到相應的文件目錄下
命令：
（2）
創建自定義網絡并以端口映射的形式進入容器并將相關的配置文件進行修改
啟動docker時每次都會重新獲取ip地址，這樣可能會造成ip地址一直在變化的情況，為了統一ip地址，可以進行如下操做。
先通過docker network ls命令查看docker自帶的network（其中bridge為默認模式），通過**docker network inspect xxx（NETWORK ID)**可以查看docker的默認網段：
隨后自己可以定義新的網段：
docker network create --subnet=172.22.0.0/24 mynetwork
開啟鏡像命令：
進入鏡像命令：
先docker ps -a 查看自己剛剛守護運行的container的ID號（容器鏡像號）
重要：進入后將hbase，jdk，zookeeper所有的權限變成cdata01：bigdata用戶組，執行完后，su cdata01到你管轄的用戶下
chown -R cdata01:bigdata xxx(想遞歸的目錄)修改的文件：
1.hadoop
<1>.bash_profile(如果非root用戶就寫成自己的用戶下的文件)（因為我在dockerfile里已經執行了該命令，所以就沒必要修改這個文件了）
# .bash_profile# Get the aliases and functions if [ -f ~/.bashrc ]; then. ~/.bashrc fi# User specific environment and startup programsPATH=$PATH:$HOME/.local/bin:$HOME/binexport PATHexport JAVA_HOME=/home/cdata/deployment/jdk1.8.0_141 export PATH=:$JAVA_HOME/bin:$PATHexport HADOOP_HOME=/home/cdata/deployment/hadoop-2.7.5 export PATH=:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH<2>core-site.xml
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!--Licensed under the Apache License, Version 2.0 (the "License");you may not use this file except in compliance with the License.You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, softwaredistributed under the License is distributed on an "AS IS" BASIS,WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.See the License for the specific language governing permissions andlimitations under the License. See accompanying LICENSE file. --><!-- Put site-specific property overrides in this file. --><configuration><property><name>fs.default.name</name><value>hdfs://cdata01:8020</value></property><property><name>hadoop.tmp.dir</name><value>/home/cdata01/data/tmp</value></property></configuration><3>hadoop-env.sh
# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License.# Set Hadoop-specific environment variables here.# The only required environment variable is JAVA_HOME. All others are # optional. When running a distributed configuration it is best to # set JAVA_HOME in this file, so that it is correctly defined on # remote nodes.# The java implementation to use. export JAVA_HOME=${JAVA_HOME}# The jsvc implementation to use. Jsvc is required to run secure datanodes # that bind to privileged ports to provide authentication of data transfer # protocol. Jsvc is not required if SASL is configured for authentication of # data transfer protocol using non-privileged ports. #export JSVC_HOME=${JSVC_HOME}export HADOOP_CONF_DIR=${HADOOP_CONF_DIR:-"/etc/hadoop"}# Extra Java CLASSPATH elements. Automatically insert capacity-scheduler. for f in $HADOOP_HOME/contrib/capacity-scheduler/*.jar; doif [ "$HADOOP_CLASSPATH" ]; thenexport HADOOP_CLASSPATH=$HADOOP_CLASSPATH:$felseexport HADOOP_CLASSPATH=$ffi done# The maximum amount of heap to use, in MB. Default is 1000. #export HADOOP_HEAPSIZE= #export HADOOP_NAMENODE_INIT_HEAPSIZE=""# Extra Java runtime options. Empty by default. export HADOOP_OPTS="$HADOOP_OPTS -Djava.net.preferIPv4Stack=true"# Command specific options appended to HADOOP_OPTS when specified export HADOOP_NAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HADOOP_NAMENODE_OPTS" export HADOOP_DATANODE_OPTS="-Dhadoop.security.logger=ERROR,RFAS $HADOOP_DATANODE_OPTS"export HADOOP_SECONDARYNAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HADOOP_SECONDARYNAMENODE_OPTS"export HADOOP_NFS3_OPTS="$HADOOP_NFS3_OPTS" export HADOOP_PORTMAP_OPTS="-Xmx512m $HADOOP_PORTMAP_OPTS"# The following applies to multiple commands (fs, dfs, fsck, distcp etc) export HADOOP_CLIENT_OPTS="-Xmx512m $HADOOP_CLIENT_OPTS" #HADOOP_JAVA_PLATFORM_OPTS="-XX:-UsePerfData $HADOOP_JAVA_PLATFORM_OPTS"# On secure datanodes, user to run the datanode as after dropping privileges. # This **MUST** be uncommented to enable secure HDFS if using privileged ports # to provide authentication of data transfer protocol. This **MUST NOT** be # defined if SASL is configured for authentication of data transfer protocol # using non-privileged ports. export HADOOP_SECURE_DN_USER=${HADOOP_SECURE_DN_USER}# Where log files are stored. $HADOOP_HOME/logs by default. #export HADOOP_LOG_DIR=${HADOOP_LOG_DIR}/$USER# Where log files are stored in the secure data environment. export HADOOP_SECURE_DN_LOG_DIR=${HADOOP_LOG_DIR}/${HADOOP_HDFS_USER}### # HDFS Mover specific parameters ### # Specify the JVM options to be used when starting the HDFS Mover. # These options will be appended to the options specified as HADOOP_OPTS # and therefore may override any similar flags set in HADOOP_OPTS # # export HADOOP_MOVER_OPTS=""### # Advanced Users Only! #### The directory where pid files are stored. /tmp by default. # NOTE: this should be set to a directory that can only be written to by # the user that will run the hadoop daemons. Otherwise there is the # potential for a symlink attack. export HADOOP_PID_DIR=${HADOOP_PID_DIR} export HADOOP_SECURE_DN_PID_DIR=${HADOOP_PID_DIR}# A string representing this instance of hadoop. $USER by default. export HADOOP_IDENT_STRING=$USERexport JAVA_HOME=/opt/moudle/jdk1.8.0_141<4>hdfs-site.xml
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!--Licensed under the Apache License, Version 2.0 (the "License");you may not use this file except in compliance with the License.You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, softwaredistributed under the License is distributed on an "AS IS" BASIS,WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.See the License for the specific language governing permissions andlimitations under the License. See accompanying LICENSE file. --><!-- Put site-specific property overrides in this file. --><configuration><property><name>dfs.replication</name><value>1</value></property><property><name>dfs.namenode.secondary.http-address</name><value>cdata01:50090</value></property></configuration><5>mapred-env.sh
# Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License.# export JAVA_HOME=/home/y/libexec/jdk1.6.0/export HADOOP_JOB_HISTORYSERVER_HEAPSIZE=1000export HADOOP_MAPRED_ROOT_LOGGER=INFO,RFA#export HADOOP_JOB_HISTORYSERVER_OPTS= #export HADOOP_MAPRED_LOG_DIR="" # Where log files are stored. $HADOOP_MAPRED_HOME/logs by default. #export HADOOP_JHS_LOGGER=INFO,RFA # Hadoop JobSummary logger. #export HADOOP_MAPRED_PID_DIR= # The pid files are stored. /tmp by default. #export HADOOP_MAPRED_IDENT_STRING= #A string representing this instance of hadoop. $USER by default #export HADOOP_MAPRED_NICENESS= #The scheduling priority for daemons. Defaults to 0.export JAVA_HOME=/home/cdata/deployment/jdk1.8.0_141<6>mapred-site.xml
<?xml version="1.0"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!--Licensed under the Apache License, Version 2.0 (the "License");you may not use this file except in compliance with the License.You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, softwaredistributed under the License is distributed on an "AS IS" BASIS,WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.See the License for the specific language governing permissions andlimitations under the License. See accompanying LICENSE file. --><!-- Put site-specific property overrides in this file. --><configuration><property><name>mapreduce.framework.name</name><value>yarn</value></property> </configuration><7>slaves
cdata01<8>yarn-env.sh
# Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License.# User for YARN daemons export HADOOP_YARN_USER=${HADOOP_YARN_USER:-yarn}# resolve links - $0 may be a softlink export YARN_CONF_DIR="${YARN_CONF_DIR:-$HADOOP_YARN_HOME/conf}"# some Java parameters # export JAVA_HOME=/home/y/libexec/jdk1.6.0/ if [ "$JAVA_HOME" != "" ]; then#echo "run java in $JAVA_HOME"JAVA_HOME=$JAVA_HOME fiif [ "$JAVA_HOME" = "" ]; thenecho "Error: JAVA_HOME is not set."exit 1 fiJAVA=$JAVA_HOME/bin/java JAVA_HEAP_MAX=-Xmx1000m # For setting YARN specific HEAP sizes please use this # Parameter and set appropriately # YARN_HEAPSIZE=1000# check envvars which might override default args if [ "$YARN_HEAPSIZE" != "" ]; thenJAVA_HEAP_MAX="-Xmx""$YARN_HEAPSIZE""m" fi# Resource Manager specific parameters# Specify the max Heapsize for the ResourceManager using a numerical value # in the scale of MB. For example, to specify an jvm option of -Xmx1000m, set # the value to 1000. # This value will be overridden by an Xmx setting specified in either YARN_OPTS # and/or YARN_RESOURCEMANAGER_OPTS. # If not specified, the default value will be picked from either YARN_HEAPMAX # or JAVA_HEAP_MAX with YARN_HEAPMAX as the preferred option of the two. #export YARN_RESOURCEMANAGER_HEAPSIZE=1000# Specify the max Heapsize for the timeline server using a numerical value # in the scale of MB. For example, to specify an jvm option of -Xmx1000m, set # the value to 1000. # This value will be overridden by an Xmx setting specified in either YARN_OPTS # and/or YARN_TIMELINESERVER_OPTS. # If not specified, the default value will be picked from either YARN_HEAPMAX # or JAVA_HEAP_MAX with YARN_HEAPMAX as the preferred option of the two. #export YARN_TIMELINESERVER_HEAPSIZE=1000# Specify the JVM options to be used when starting the ResourceManager. # These options will be appended to the options specified as YARN_OPTS # and therefore may override any similar flags set in YARN_OPTS #export YARN_RESOURCEMANAGER_OPTS=# Node Manager specific parameters# Specify the max Heapsize for the NodeManager using a numerical value # in the scale of MB. For example, to specify an jvm option of -Xmx1000m, set # the value to 1000. # This value will be overridden by an Xmx setting specified in either YARN_OPTS # and/or YARN_NODEMANAGER_OPTS. # If not specified, the default value will be picked from either YARN_HEAPMAX # or JAVA_HEAP_MAX with YARN_HEAPMAX as the preferred option of the two. #export YARN_NODEMANAGER_HEAPSIZE=1000# Specify the JVM options to be used when starting the NodeManager. # These options will be appended to the options specified as YARN_OPTS # and therefore may override any similar flags set in YARN_OPTS #export YARN_NODEMANAGER_OPTS=# so that filenames w/ spaces are handled correctly in loops below IFS=# default log directory & file if [ "$YARN_LOG_DIR" = "" ]; thenYARN_LOG_DIR="$HADOOP_YARN_HOME/logs" fi if [ "$YARN_LOGFILE" = "" ]; thenYARN_LOGFILE='yarn.log' fi# default policy file for service-level authorization if [ "$YARN_POLICYFILE" = "" ]; thenYARN_POLICYFILE="hadoop-policy.xml" fi# restore ordinary behaviour unset IFSYARN_OPTS="$YARN_OPTS -Dhadoop.log.dir=$YARN_LOG_DIR" YARN_OPTS="$YARN_OPTS -Dyarn.log.dir=$YARN_LOG_DIR" YARN_OPTS="$YARN_OPTS -Dhadoop.log.file=$YARN_LOGFILE" YARN_OPTS="$YARN_OPTS -Dyarn.log.file=$YARN_LOGFILE" YARN_OPTS="$YARN_OPTS -Dyarn.home.dir=$YARN_COMMON_HOME" YARN_OPTS="$YARN_OPTS -Dyarn.id.str=$YARN_IDENT_STRING" YARN_OPTS="$YARN_OPTS -Dhadoop.root.logger=${YARN_ROOT_LOGGER:-INFO,console}" YARN_OPTS="$YARN_OPTS -Dyarn.root.logger=${YARN_ROOT_LOGGER:-INFO,console}" if [ "x$JAVA_LIBRARY_PATH" != "x" ]; thenYARN_OPTS="$YARN_OPTS -Djava.library.path=$JAVA_LIBRARY_PATH" fi YARN_OPTS="$YARN_OPTS -Dyarn.policy.file=$YARN_POLICYFILE"export JAVA_HOME=/opt/moudle/jdk1.8.0_141<9>yarn-site.xml
<?xml version="1.0"?> <!--Licensed under the Apache License, Version 2.0 (the "License");you may not use this file except in compliance with the License.You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, softwaredistributed under the License is distributed on an "AS IS" BASIS,WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.See the License for the specific language governing permissions andlimitations under the License. See accompanying LICENSE file. --> <configuration><!-- Site specific YARN configuration properties --><property><name>yarn.nodemanager.aux-services</name><value>mapreduce_shuffle</value></property><property><name>yarn.resourcemanager</name><value>cdata01</value></property></configuration>2.zookeeper
創建好zookeeper和zkData目錄，否則開啟時會報錯
zoo.cfg
# The number of milliseconds of each tick tickTime=2000 # The number of ticks that the initial # synchronization phase can take initLimit=10 # The number of ticks that can pass between # sending a request and getting an acknowledgement syncLimit=5 # the directory where the snapshot is stored. # do not use /tmp for storage, /tmp here is just # example sakes. dataDir=/home/cdata01/data/zookeeper/zkData # the port at which the clients will connect clientPort=2181 # the maximum number of client connections. # increase this if you need to handle more clients #maxClientCnxns=60 # # Be sure to read the maintenance section of the # administrator guide before turning on autopurge. # # http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance # # The number of snapshots to retain in dataDir #autopurge.snapRetainCount=3 # Purge task interval in hours # Set to "0" to disable auto purge feature #autopurge.purgeInterval=13.hbase
<1>hbase-env.sh
# #/** # * Licensed to the Apache Software Foundation (ASF) under one # * or more contributor license agreements. See the NOTICE file # * distributed with this work for additional information # * regarding copyright ownership. The ASF licenses this file # * to you under the Apache License, Version 2.0 (the # * "License"); you may not use this file except in compliance # * with the License. You may obtain a copy of the License at # * # * http://www.apache.org/licenses/LICENSE-2.0 # * # * Unless required by applicable law or agreed to in writing, software # * distributed under the License is distributed on an "AS IS" BASIS, # * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # * See the License for the specific language governing permissions and # * limitations under the License. # */# Set environment variables here.# This script sets variables multiple times over the course of starting an hbase process, # so try to keep things idempotent unless you want to take an even deeper look # into the startup scripts (bin/hbase, etc.)# The java implementation to use. Java 1.7+ required. export JAVA_HOME=/opt/moudle/jdk1.8.0_141# Extra Java CLASSPATH elements. Optional. # export HBASE_CLASSPATH=# The maximum amount of heap to use. Default is left to JVM default. # export HBASE_HEAPSIZE=1G# Uncomment below if you intend to use off heap cache. For example, to allocate 8G of # offheap, set the value to "8G". # export HBASE_OFFHEAPSIZE=1G# Extra Java runtime options. # Below are what we set by default. May only work with SUN JVM. # For more on why as well as other possible settings, # see http://wiki.apache.org/hadoop/PerformanceTuning export HBASE_OPTS="-XX:+UseConcMarkSweepGC"# Configure PermSize. Only needed in JDK7. You can safely remove it for JDK8+ # export HBASE_MASTER_OPTS="$HBASE_MASTER_OPTS -XX:PermSize=128m -XX:MaxPermSize=128m" # export HBASE_REGIONSERVER_OPTS="$HBASE_REGIONSERVER_OPTS -XX:PermSize=128m -XX:MaxPermSize=128m"# Uncomment one of the below three options to enable java garbage collection logging for the server-side processes.# This enables basic gc logging to the .out file. # export SERVER_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps"# This enables basic gc logging to its own file. # If FILE-PATH is not replaced, the log file(.gc) would still be generated in the HBASE_LOG_DIR . # export SERVER_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -Xloggc:<FILE-PATH>"# This enables basic GC logging to its own file with automatic log rolling. Only applies to jdk 1.6.0_34+ and 1.7.0_2+. # If FILE-PATH is not replaced, the log file(.gc) would still be generated in the HBASE_LOG_DIR . # export SERVER_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -Xloggc:<FILE-PATH> -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=1 -XX:GCLogFileSize=512M"# Uncomment one of the below three options to enable java garbage collection logging for the client processes.# This enables basic gc logging to the .out file. # export CLIENT_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps"# This enables basic gc logging to its own file. # If FILE-PATH is not replaced, the log file(.gc) would still be generated in the HBASE_LOG_DIR . # export CLIENT_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -Xloggc:<FILE-PATH>"# This enables basic GC logging to its own file with automatic log rolling. Only applies to jdk 1.6.0_34+ and 1.7.0_2+. # If FILE-PATH is not replaced, the log file(.gc) would still be generated in the HBASE_LOG_DIR . # export CLIENT_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -Xloggc:<FILE-PATH> -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=1 -XX:GCLogFileSize=512M"# See the package documentation for org.apache.hadoop.hbase.io.hfile for other configurations # needed setting up off-heap block caching. # Uncomment and adjust to enable JMX exporting # See jmxremote.password and jmxremote.access in $JRE_HOME/lib/management to configure remote password access. # More details at: http://java.sun.com/javase/6/docs/technotes/guides/management/agent.html # NOTE: HBase provides an alternative JMX implementation to fix the random ports issue, please see JMX # section in HBase Reference Guide for instructions.# export HBASE_JMX_BASE="-Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.authenticate=false" # export HBASE_MASTER_OPTS="$HBASE_MASTER_OPTS $HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10101" # export HBASE_REGIONSERVER_OPTS="$HBASE_REGIONSERVER_OPTS $HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10102" # export HBASE_THRIFT_OPTS="$HBASE_THRIFT_OPTS $HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10103" # export HBASE_ZOOKEEPER_OPTS="$HBASE_ZOOKEEPER_OPTS $HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10104" # export HBASE_REST_OPTS="$HBASE_REST_OPTS $HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10105"# File naming hosts on which HRegionServers will run. $HBASE_HOME/conf/regionservers by default. # export HBASE_REGIONSERVERS=${HBASE_HOME}/conf/regionservers# Uncomment and adjust to keep all the Region Server pages mapped to be memory resident #HBASE_REGIONSERVER_MLOCK=true #HBASE_REGIONSERVER_UID="hbase"# File naming hosts on which backup HMaster will run. $HBASE_HOME/conf/backup-masters by default. # export HBASE_BACKUP_MASTERS=${HBASE_HOME}/conf/backup-masters# Extra ssh options. Empty by default. # export HBASE_SSH_OPTS="-o ConnectTimeout=1 -o SendEnv=HBASE_CONF_DIR"# Where log files are stored. $HBASE_HOME/logs by default. # export HBASE_LOG_DIR=${HBASE_HOME}/logs# Enable remote JDWP debugging of major HBase processes. Meant for Core Developers # export HBASE_MASTER_OPTS="$HBASE_MASTER_OPTS -Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=n,address=8070" # export HBASE_REGIONSERVER_OPTS="$HBASE_REGIONSERVER_OPTS -Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=n,address=8071" # export HBASE_THRIFT_OPTS="$HBASE_THRIFT_OPTS -Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=n,address=8072" # export HBASE_ZOOKEEPER_OPTS="$HBASE_ZOOKEEPER_OPTS -Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=n,address=8073"# A string representing this instance of hbase. $USER by default. # export HBASE_IDENT_STRING=$USER# The scheduling priority for daemon processes. See 'man nice'. # export HBASE_NICENESS=10# The directory where pid files are stored. /tmp by default. # export HBASE_PID_DIR=/var/hadoop/pids# Seconds to sleep between slave commands. Unset by default. This # can be useful in large clusters, where, e.g., slave rsyncs can # otherwise arrive faster than the master can service them. # export HBASE_SLAVE_SLEEP=0.1# Tell HBase whether it should manage it's own instance of Zookeeper or not. # 不使用hbase自帶的zookeeper export HBASE_MANAGES_ZK=false# The default log rolling policy is RFA, where the log file is rolled as per the size defined for the # RFA appender. Please refer to the log4j.properties file to see more details on this appender. # In case one needs to do log rolling on a date change, one should set the environment property # HBASE_ROOT_LOGGER to "<DESIRED_LOG LEVEL>,DRFA". # For example: # HBASE_ROOT_LOGGER=INFO,DRFA # The reason for changing default to RFA is to avoid the boundary case of filling out disk space as # DRFA doesn't put any cap on the log size. Please refer to HBase-5655 for more context.<2>hbase-site.xml
<?xml version="1.0"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- /**** Licensed to the Apache Software Foundation (ASF) under one* or more contributor license agreements. See the NOTICE file* distributed with this work for additional information* regarding copyright ownership. The ASF licenses this file* to you under the Apache License, Version 2.0 (the* "License"); you may not use this file except in compliance* with the License. You may obtain a copy of the License at** http://www.apache.org/licenses/LICENSE-2.0** Unless required by applicable law or agreed to in writing, software* distributed under the License is distributed on an "AS IS" BASIS,* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.* See the License for the specific language governing permissions and* limitations under the License.*/ --> <configuration><property><name>hbase.rootdir</name><value>hdfs://cdata01:8020/HBase</value></property><property><name>hbase.cluster.distributed</name><value>true</value></property><!-- 0.98 后的新變動，之前版本沒有.port,默認端口為 60000 --><property><name>hbase.master.port</name><value>16000</value></property><property><name>hbase.master.info.port</name><value>cdata01</value></property><property><name>hbase.zookeeper.quorum</name><value>cdata01</value></property><property><name>hbase.zookeeper.property.dataDir</name><value>/home/cdata01/data/zookeeper/zkData</value></property> </configuration><3>regionservers
cdata01（3）
開啟hdfs和yarn服務
第一次啟動先格式化：
分別啟動hdfs和yarn
start-dfs.sh start-yarn.sh通過jps查看是否啟動成功
（4）
開啟zookeeper服務
通過命令：
（5）
開啟hbase服務：
start-hbase.sh（6）
退出鏡像打包容器即可：
此時保持鏡像正常運行，退出后，進行打包：
隨后進行最后的上傳操作：
首先要有阿里云的賬號（通過支付寶掃碼登陸即可）
網址：https://account.aliyun.com/login/login.htm?oauth_callback=https%3A%2F%2Fcr.console.aliyun.com%2Frepository%2Fcn-hangzhou%2Fpseduo-hadoop%2Fhadoop-2.7.5%2Fdetails&lang=zh
進去后創建自己的容器：
隨后按照阿里云的方法進行操作即可：
打包成功：
最終容器內的效果圖：
總結
以上是生活随笔為你收集整理的docker中部署hadoop、zookeeper、hbase伪分布式并上传到阿里云远程仓库的全部內容，希望文章能夠幫你解決所遇到的問題。
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