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ip設置:
服務器中共虛擬了6臺虛擬機:
hadoop1 :內存8G,硬盤2T
hadoop2 :內存8G,硬盤2T
hadoop3 :內存8G,硬盤2T
zookeeper :內存8G,硬盤2T
redis :內存8G,硬盤2T
ethings :內存8G,硬盤2T
192.168.0.10 hadoop1 // hadoop2.7.4 + zookeeper3.4.10 + hbase1.2.6 + hive2.1.1 + mariadb5.5
192.168.0.11 hadoop2 // hadoop2.7.4 + zookeeper3.4.10 + hbase1.2.6
192.168.0.12 hadoop3 // hadoop2.7.4 + zookeeper3.4.10 + hbase1.2.6
192.168.0.13 zookeeper // (備用)
192.168.0.14 redis // redis4.0.1 + mysql(mariadb5.5)
192.168.0.15 ethings // 應用平臺
192.168.0.16 hadoop3 // hadoop2.7.4 + zookeeper3.4.10 + hbase1.2.6
192.168.0.17 hadoop3 // hadoop2.7.4 + zookeeper3.4.10 + hbase1.2.6
這是整個在給的服務器上搭建的環境,
目前數據存儲在 hadoop2 和 hadoop3 上。
存儲平臺開關
啓動:
1. 先啓動zookeeper:
hadoop1:zkServer.sh start
hadoop2:zkServer.sh start
hadoop3:zkServer.sh start
2. 啓動hbase
hadoop1:start-hbase.sh
3. 啓動hadoop集羣
hadoop1:start-all.sh
關閉:
1. 先關閉zookeeper:
hadoop1:zkServer.sh stop
hadoop2:zkServer.sh stop
hadoop3:zkServer.sh stop
2. 關閉hbase
hadoop1:stop-hbase.sh
3. 關閉hadoop集羣
hadoop1:stop-all.sh
hadoop
core-site.xml
<configuration>
<!-- 指定HDFS老大(namenode)的通信地址 -->
<property>
<name>fs.defaultFS</name>
<value>hdfs://hadoop1:9000</value>
</property>
<!-- 指定hadoop運行時產生文件的存儲路徑 -->
<property>
<name>hadoop.tmp.dir</name>
<value>file:/usr/local/hadoop/tmp</value>
</property>
</configuration>
hdfs-site.xml
<configuration>
<property>
<name>dfs.namenode.secondary.http-address</name>
<value>hadoop1:9001</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/usr/local/hadoop/hdfs/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/usr/local/hadoop/hdfs/data</value>
</property>
<!-- 設置hdfs副本數量 -->
<property>
<name>dfs.replication</name>
<value>2</value>
</property>
<property>
<name>dfs.webhdfs.enabled</name>
<value>true</value>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
</configuration>
客戶端,添加環境變量:HADOOP_USER_NAME=hadoop (如果在客戶端的IDE中調試需要設置這個環境變量,如eclipse、idea等),這樣就不會發生訪問權限問題了。
另外,說一下,建立虛擬機時候,就默認使用hadoop用戶建立,這樣就不用專門去建立這個用戶和組了。
mapred-site.xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<property>
<name>mapreduce.jobhistory.address</name>
<value>hadoop1:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>hadoop1:19888</value>
</property>
</configuration>
slaves
hadoop2
hadoop3
hadoop4
hadoop5
yarn-site.xml
<configuration>
<!-- reducer取數據的方式是mapreduce_shuffle -->
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
<property>
<name>yarn.resourcemanager.address</name>
<value>hadoop1:8032</value>
</property>
<property>
<name>yarn.resourcemanager.scheduler.address</name>
<value>hadoop1:8030</value>
</property>
<property>
<name>yarn.resourcemanager.resource-tracker.address</name>
<value>hadoop1:8031</value>
</property>
<property>
<name>yarn.resourcemanager.admin.address</name>
<value>hadoop1:8033</value>
</property>
<property>
<name>yarn.resourcemanager.webapp.address</name>
<value>hadoop1:8088</value>
</property>
</configuration>
hbase
hbase-site.xml
<configuration>
<property>
<name>hbase.rootdir</name>
<value>hdfs://hadoop1:9000/hbase</value>
</property>
<value>hadoop1,hadoop2,hadoop3,hadoop4,hadoop5</value>
</property>
<property>
<name>zookeeper.session.timeout</name>
<value>60000000</value>
</property>
<property>
<name>dfs.support.append</name>
<value>true</value>
</property>
</configuration>
hbase-env.sh
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"
regionservers
hadoop2
hadoop3
hadoop4
hadoop5
vbox設置共享目錄
mount -t vboxsf share /home/hadoop/mount_point/
虛擬機中需要安裝VBoxGuestAdditions.iso
掛載: mount /dev/cdrom /home/hadoop/mount_point/
cd /home/hadoop/mount_point/
sh ./VBoxLinuxAdditions.run
執行過程中可能有錯,根據錯誤日誌修改
需要
sudo yum install gcc kernal kernal-devel
成功後就可以掛載了
mount -t vboxsf share /home/hadoop/mount_point/
Zookeeper設置
tickTime=2000
initLimit=10
syncLimit=5
dataDir=/usr/local/zookeeper/tmp/data
dataLogDir=/usr/local/zookeeper/tmp/logs
clientPort=2181
server.1=hadoop1:2888:3888
server.2=hadoop2:2888:3888
server.3=hadoop3:2888:3888
#server.4=hadoop4:2888:3888
#server.5=hadoop5:2888:3888
#maxClientCnxns=60
#autopurge.snapRetainCount=3
#autopurge.purgeInterval=1
配置好後在dataDir
目錄中創建myid,並相應的設置 1,2,3,4,5,
HIVE 設置
<configuration>
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://localhost:3306/hive?createDatabaseIfNotExist=true&characterEncoding=UTF-8&useSSL=false</value>
</property>
<property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
</property>
<property>
<name>javax.jdo.option.ConnectionUserName</name>
<value>root</value>
</property>
<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>root</value>
</property>
<!-- 設置 hive倉庫的HDFS上的位置 -->
<property>
<name>hive.metastore.warehouse.dir</name>
<value>/user/hive/warehouse</value>
</property>
<!--資源臨時文件存放位置 -->
<property>
<name>hive.downloaded.resources.dir</name>
<value>/usr/local/hive/tmp/${hive.session.id}_resources</value>
</property>
<!-- Hive在0.9版本之前需要設置hive.exec.dynamic.partition爲true, Hive在0.9版本之後默認爲true -->
<property>
<name>hive.exec.dynamic.partition</name>
<value>true</value>
</property>
<property>
<name>hive.exec.dynamic.partition.mode</name>
<value>nonstrict</value>
</property>
<!-- 修改日誌位置 -->
<property>
<name>hive.exec.local.scratchdir</name>
<value>/usr/local/hive/tmp/HiveJobsLog</value>
</property>
<property>
<name>hive.downloaded.resources.dir</name>
<value>/usr/local/hive/tmp/ResourcesLog</value>
</property>
<property>
<name>hive.querylog.location</name>
<value>/usr/local/hive/tmp/HiveRunLog</value>
</property>
<property>
<name>hive.server2.logging.operation.log.location</name>
<value>/usr/local/hive/tmp/OperationLogs</value>
</property>
<!-- 配置HWI接口 -->
<property>
<name>hive.hwi.war.file</name>
<value>${env:HWI_WAR_FILE}</value>
</property>
<property>
<name>hive.hwi.listen.host</name>
<value>0.0.0.0</value>
</property>
<property>
<name>hive.hwi.listen.port</name>
<value>9999</value>
</property>
<!-- Hiveserver2已經不再需要hive.metastore.local這個配置項了(hive.metastore.uris爲空,則表示是metastore在本地,否則就是遠程)遠程的話直接配置hive.metastore.uris即可 -->
<!-- property>
<name>hive.metastore.uris</name>
<value>thrift://m1:9083</value>
<description>Thrift URI for the remote metastore. Used by metastore client to connect to remote metastore.</description>
</property -->
<property>
<name>hive.server2.thrift.bind.host</name>
<value>hadoop1</value>
</property>
<property>
<name>hive.server2.thrift.port</name>
<value>10000</value>
</property>
<property>
<name>hive.server2.thrift.http.port</name>
<value>10001</value>
</property>
<property>
<name>hive.server2.thrift.http.path</name>
<value>cliservice</value>
</property>
<!-- HiveServer2的WEB UI -->
<property>
<name>hive.server2.webui.host</name>
<value>0.0.0.0</value>
</property>
<property>
<name>hive.server2.webui.port</name>
<value>10002</value>
</property>
<property>
<name>hive.scratch.dir.permission</name>
<value>755</value>
</property>
<!-- 下面hive.aux.jars.path這個屬性裏面你這個jar包地址如果是本地的記住前面要加file://不然找不到, 而且會報org.apache.hadoop.hive.contrib.serde2.RegexSerDe錯誤 -->
<property>
<name>hive.aux.jars.path</name>
<value/>
</property>
<property>
<name>hive.server2.enable.doAs</name>
<value>true</value>
</property>
<property>
<name>hive.auto.convert.join</name>
<value>true</value>
</property>
<property>
<name>spark.dynamicAllocation.enabled</name>
<value>true</value>
<description>動態分配資源</description>
</property>
<!-- 使用Hive on spark時,若不設置下列該配置會出現內存溢出異常 -->
<property>
<name>spark.driver.extraJavaOptions</name>
<value>-XX:PermSize=128M -XX:MaxPermSize=512M</value>
</property>
<property>
<name>datanucleus.autoCreateSchema</name>
<value>true</value>
</property>
<property>
<name>datanucleus.autoCreateTables</name>
<value>true</value>
</property>
<property>
<name>datanucleus.autoCreateColumns</name>
<value>true</value>
</property>
</configuration>
hive的配置感覺是最複雜的了,上面使用的是mysql作爲元數據管理,如果用centos7的話,系統默認自帶mariadb數據庫跟mysql是一樣的。
Redis4.0.1
安裝:
$ wget http://download.redis.io/releases/redis-4.0.1.tar.gz
$ tar xzf redis-4.0.1.tar.gz
$ cd redis-4.0.1
$ make
make成功後,執行
$ src/redis-server
測試:
$ src/redis-cli
redis> set foo bar
OK
redis> get foo
"bar"
如果make不成功,可以參考README.md,使用
make MALLOC=libc
再編譯一次,默認使用
make MALLOC=jemalloc
VirtualBox 磁盤複製
虛擬機做好一個後,複製一下就會得到另一臺虛擬機,但是有時候,並不是通過VirtualBox界面工具複製的,直接手動複製粘貼,這樣這個虛擬機是啓動不來的,所以需要如下方法:
cmd至virtualBox運行目錄後,執行
VBoxManage.exe internalcommands sethduuid G:\vbox\xxx.vdi
將修改VDI的UUID
修改成功提示UUID changed to: 428079cd-830d-49b1-bfde-feac051b4d3e
run VBoxManage internalcommands sethduuid <VDI/VMDK file>
twice (the first time is just to conveniently generate an UUID, you could use any other UUID generation method instead)
open the .vbox
file in a text editor
replace the UUID found in <Machine uuid="{...}"
with the UUID you got when you ran sethduuid the first time
replace the UUID found in <HardDisk uuid="{...}"
and in <Image uuid="{}"
(towards the end) with the UUID you got when you ran sethduuid the second time
Spark
spark-env.sh
export SCALA_HOME=/usr/local/scala
export JAVA_HOME=/usr/local/jdk
export SPARK_MASTER_IP=hadoop1
export SPARK_WORKER_MEMORY=4G
export HADOOP_CONF_DIR=/usr/local/hadoop/etc/hadoop
我這裏虛擬機的內存是8G的。
設置靜態IP地址
[hadoop@zookeeper network-scripts]$ cat ifcfg-enp0s3
TYPE="Ethernet"
#BOOTPROTO="dhcp"
BOOTPROTO="static"
IPADDR=192.168.0.10
NETMASK=255.255.255.0
DEFROUTE="yes"
PEERDNS="yes"
PEERROUTES="yes"
IPV4_FAILURE_FATAL="no"
IPV6INIT="yes"
IPV6_AUTOCONF="yes"
IPV6_DEFROUTE="yes"
IPV6_PEERDNS="yes"
IPV6_PEERROUTES="yes"
IPV6_FAILURE_FATAL="no"
IPV6_ADDR_GEN_MODE="stable-privacy"
NAME="enp0s3"
UUID="09f62fa6-36bc-4782-95ad-63fda20b194f"
DEVICE="enp0s3"
ONBOOT="yes"
關閉防火牆
sudo systemctl stop firewalld.service
sudo systemctl disable firewalld.service
sudo systemctl status firewalld.service
啓動一個服務:systemctl start firewalld.service
關閉一個服務:systemctl stop firewalld.service
重啓一個服務:systemctl restart firewalld.service
顯示一個服務的狀態:systemctl status firewalld.service
在開機時啓用一個服務:systemctl enable firewalld.service
在開機時禁用一個服務:systemctl disable firewalld.service
查看服務是否開機啓動:systemctl is-enabled firewalld.service
查看已啓動的服務列表:systemctl list-unit-files|grep enabled
從VirtulBox轉VMware磁盤
vmkload_mod multiextent
vmkfstools -i hadoop3-disk1.vmdk hadoop3-disk2.vmdk -d thin
vmkfstools -U hadoop3-disk1.vmdk
vmkfstools -E hadoop3-disk2.vmdk hadoop3-disk1.vmdk
vmkload_mod -u multiextent
Hadoop退出安全模式
1. 在HDFS配置文件中修改安全模式閥值
在hdfs-site.xml中設置安全閥值屬性,屬性值默認爲0.999f,如果設爲1則不進行安全檢查
<property>
<name>dfs.safemode.threshold.pct</name>
<value>0.999f</value>
<description>
Specifies the percentage of blocks that should satisfy
the minimal replication requirement defined by dfs.replication.min.
Values less than or equal to 0 mean not to wait for any particular
percentage of blocks before exiting safemode.
Values greater than 1 will make safe mode permanent.
</description>
</property>
因爲是在配置文件中進行硬修改,不利於管理員操作和修改,因此不推薦此方式
2. 直接在bash輸入指令脫離安全模式(推薦)
在安全模式下輸入指令:
hadoop dfsadmin -safemode leave
即可退出安全模式。
hdfs文件保存到本地
hadoop fs -get [-ignorecrc] [-crc] 複製文件到本地文件系統
hadoop fs -get hdfs://host:port/user/hadoop/file localfile
各模式下運行spark自帶實例SparkPi
2.1 local模式
./bin/spark-submit --class org.apache.spark.examples.SparkPi --master local lib/spark-examples-1.0.0-hadoop2.2.0.jar
2.2 standalone模式
./bin/spark-submit --class org.apache.spark.examples.SparkPi --master spark://192.168.0.10:7077 lib/spark-examples-1.0.0-hadoop2.2.0.jar
2.3 on-yarn-cluster模式
./bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn-cluster lib/spark-examples-1.0.0-hadoop2.2.0.jar
2.4 on-yarn-client模式
./bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn-client lib/spark-examples-1.0.0-hadoop2.2.0.jar
2.5 參考
http://spark.apache.org/docs/latest/submitting-applications.html