目录
-
前提
1.安装启动Hadoop
2.安装启动zookeeper
3.安装spark
-
依赖环境
|
软件 |
版本 |
|
Apache hbase-1.1.1-bin.tar.gz |
1.1.1 |
|
spark-2.2.0-bin-2.6.0-cdh5.14.0.tgz |
2.2.0-bin-cdh5.14.0 |
|
apache-kylin-2.6.3-bin-hbase1x.tar.gz |
2.6.3 |
-
集群规划
我们当前只需要把Kylin配置到一个节点
|
主机名 |
IP |
守护进程 |
|
node1 |
192.168.88.120 |
NameNode DataNode RunJar(Hive metastore) RunJar(Hive hiveserver2) QuorumPeerMain HMaster HRegionServer kylin NodeManager |
|
node2 |
192.168.88.121 |
SecondaryNameNode JobHistoryServer DataNode HRegionServer QuorumPeerMain ResourceManager HistoryServer NodeManager |
|
node3 |
192.168.88.122 |
HRegionServer NodeManager DataNode QuorumPeerMain |
注意：
1.kylin-2.6.3-bin-hbase1x所依赖的hbase为1.1.1版本
2.要求hbase的hbase.zookeeper.quorum值必须只能是node1,node02,不允许出现node01:2181
-
安装依赖的Hbase1.1.1
上传并解压
tar -zxvf /export/soft/hbase-1.1.1-bin.tar.gz -C /export/servers/
修改hbase-env.sh 添加JAVA_HOME环境变量
cd /export/servers/hbase-1.1.1/conf/
vim ./hbase-env.sh
#JAVA_HOME环境需要提前配置好
export JAVA_HOME=${JAVA_HOME}
export HBASE_MANAGES_ZK=false
修改hbase-site.xml配置
<configuration>
<property>
<name>hbase.rootdir</name>
<value>hdfs://node01:8020/hbase_1.1.1</value>
</property>
<property>
<name>hbase.cluster.distributed</name>
<value>true</value>
</property>
<!-- 0.98后的新变动，之前版本没有.port,默认端口为60000 -->
<property>
<name>hbase.master.port</name>
<value>16000</value>
</property>
<property>
<name>hbase.zookeeper.property.clientPort</name>
<value>2181</value>
</property>
<property>
<name>hbase.master.info.port</name>
<value>60010</value>
</property>
<property>
<name>hbase.zookeeper.quorum</name>
<value>node01,node02,node03</value>
</property>
<property>
<name>hbase.zookeeper.property.dataDir</name>
<value>/export/servers/zookeeper-3.4.5-cdh5.14.0/zkdata</value>
</property>
<property>
<name>hbase.thrift.support.proxyuser</name>
<value>true</value>
</property>
<property>
<name>hbase.regionserver.thrift.http</name>
<value>true</value>
</property>
</configuration>
在hbase conf文件夹中获取Hadoop上的core-site.xml和hdfs-site.xml文件
cd /export/servers/hbase-1.1.1/conf/
cp /export/servers/hadoop-2.6.0-cdh5.14.0/etc/hadoop/hdfs-site.xml ./
cp /export/servers/hadoop-2.6.0-cdh5.14.0/etc/hadoop/core-site.xml ./
修改regionservers配置文件
cd /export/servers/hbase-1.1.1/conf/
vim regionservers
node01
配置hbase环境变量
cd /etc/profile.d/
vim ./hbase.sh
export HBASE_HOME=/export/servers/hbase-1.1.1
export PATH=$PATH:$HBASE_HOME/bin
刷新环境变量
source /etc/profile
删除zk历史数据
# 进入到 zkCli中
/export/servers/zookeeper-3.4.5-cdh5.14.0/bin/zkCli.sh
# 执行删除
rmr /hbase
启动hbase
cd /export/servers/hbase-1.1.1/bin/
start-hbase.sh
验证
#进入hbase窗口
hbase shell
#查看当前数据库
list
-
Kylin安装部署
上传并解压
tar -zxvf /export/soft/apache-kylin-2.6.3-bin-hbase1x.tar.gz -C /export/servers/
拷贝hadoop\hive\hbase\spark核心配置文件到kylin的conf目录
cd /export/servers/apache-kylin-2.6.3-bin-hbase1x/conf/
cp /export/servers/hadoop-2.6.0-cdh5.14.0/etc/hadoop/hdfs-site.xml ./
cp /export/servers/hadoop-2.6.0-cdh5.14.0/etc/hadoop/core-site.xml ./
cp /export/servers/hive-1.1.0-cdh5.14.0/conf/hive-site.xml ./
cp /export/servers/spark-2.2.0-bin-2.6.0-cdh5.14.0/conf/spark-defaults.conf.template ./
mv ./spark-defaults.conf.template ./spark-defaults.conf
添加hadoop\hive\hbase\spark路径到bin/kylin.sh
cd /export/servers/apache-kylin-2.6.3-bin-hbase1x/bin/
vim ./kylin.sh
export HADOOP_HOME=/export/servers/hadoop-2.6.0-cdh5.14.0
export HIVE_HOME=/export/servers/hive-1.1.0-cdh5.14.0
export HBASE_HOME=/export/servers/hbase-1.1.1
export SPARK_HOME=/export/servers/spark-2.2.0-bin-2.6.0-cdh5.14.0
配置spark环境变量
cd /etc/profile.d/
vim ./spark.sh
export SPARK_HOME=/export/servers/spark-2.2.0-bin-2.6.0-cdh5.14.0
export PATH=:$SPARK_HOME/bin:$PATH
配置conf/kylin.properties
cd /export/servers/apache-kylin-2.6.3-bin-hbase1x/conf
vim kylin.properties
kylin.engine.spark-conf.spark.eventLog.dir=hdfs://node01/apps/spark2/spark-history
kylin.engine.spark-conf.spark.history.fs.logDirectory=hdfs://node01:8020/apps/spark2/spark-history
kylin.engine.spark-conf.spark.yarn.archive=hdfs://node01:8020/apps/spark2/lib/spark-libs.jar
初始化kylin在hdfs上的数据路径
hdfs dfs -mkdir -p /apps/kylin
启动集群
1.启动zookeeper
2.启动HDFS
3.启动YARN集群
4.启动HBase集群
5.启动 metastore
nohup hive --service metastore &
6.启动 hiverserver2
nohup hive --service hiveserver2 &
7.启动Yarn history server
mr-jobhistory-daemon.sh start historyserver
8.启动spark history server【可选】
sbin/start-history-server.sh
9.启动kylin
cd /export/servers/apache-kylin-2.6.3-bin-hbase1x/bin/ ./kylin.sh start
登录Kylin
http://192.168.100.201:7070/kylin/models
|
url |
|
|
默认用户名 |
ADMIN |
|
默认密码 |
KYLIN |
