hadoop3.1.3-spark-2.4.6-bin-hadoop2.7-hive-3.1.2单机版本安装

于 2020-06-27 11:31:23 发布
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分类专栏： java 大数据 文章标签： hadoop spark 大数据 hive
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本文链接：https://blog.youkuaiyun.com/u014172271/article/details/106980421
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环境：centos7.4

vim /etc/profile

export JAVA_HOME=/usr/java/java8
export JRE_HOME=/usr/java/java8/jre
export CLASSPATH=.:$JAVA_HOME/jre/lib/rt.jar:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
export HIVE_HOME=/usr/java/hive
export HBASE_HOME=/usr/java/hbase
export SPARK_HOME=/usr/java/spark
export SCALA_HOME=/usr/java/scala
export HADOOP_HOME=/usr/java/hadoop
export PATH=$PATH:$JAVA_HOME/bin:$JRE_HOME/bin:$HADOOP_HOME/bin:$SCALA_HOME/bin:$HADOOP_HOME/sbin:$HBASE_HOME/bin:$HIVE_HOME/bin:$SPARK_HOME/bin:$SPARK_HOME/bin:$SPARK_HOME/sbin

一、安装hadoop

修改配置文件：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 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. See accompanying LICENSE file.
-->

<!-- Put site-specific property overrides in this file. -->

<configuration>
       <property>
		<name>fs.defaultFS</name>
		<value>hdfs://bigdata:8020</value>
	</property>
	<!-- 临时文件存储目录 -->
	<property>
		<name>hadoop.tmp.dir</name>
		<value>/usr/java/hadoop/datas/tmp</value>
	</property>
    <!--  缓冲区大小，实际工作中根据服务器性能动态调整 -->
	<property>
		<name>io.file.buffer.size</name>
		<value>8192</value>
	</property>
    <!--  开启hdfs的垃圾桶机制，删除掉的数据可以从垃圾桶中回收，单位分钟 -->
	<property>
		<name>fs.trash.interval</name>
		<value>10080</value>
	</property>
	<property>
		<name>hadoop.proxyuser.hadoop.hosts</name>
		<value>*</value>
	</property>
	<property>
		<name>hadoop.proxyuser.hadoop.groups</name>
		<value>root</value>
	</property>
</configuration>

修改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 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. See accompanying LICENSE file.
-->

<!-- Put site-specific property overrides in this file. -->

<configuration>
	<property>
		<name>dfs.namenode.name.dir</name>
		<value>file:///usr/java/hadoop/datas/datas/namenode/namenodedatas</value>
	</property>
	<property>
		<name>dfs.blocksize</name>
		<value>134217728</value>
	</property>
	<property>
		<name>dfs.namenode.handler.count</name>
		<value>10</value>
	</property>
	<property>
		<name>dfs.datanode.data.dir</name>
		<value>file:///usr/java/hadoop/datas/datas/datanode/datanodeDatas</value>
	</property>
	<property>
		<name>dfs.namenode.http-address</name>
		<value>bigdata:50070</value>
	</property>
	<property>
		<name>dfs.replication</name>
		<value>1</value>
	</property>
	<property>
		<name>dfs.permissions.enabled</name>
		<value>false</value>
	</property>
	<property>
		<name>dfs.namenode.checkpoint.edits.dir</name>
		<value>file:///usr/java/hadoop/datas/dfs/nn/snn/edits</value>
	</property>
	<property>
		<name>dfs.namenode.secondary.http-address</name>
		<value>bigdata:50090</value>
	</property>
	<property>
		<name>dfs.namenode.edits.dir</name>
		<value>file:///usr/java/hadoop/datas/datas/dfs/nn/edits</value>
	</property>
	<property>
		<name>dfs.namenode.checkpoint.dir</name>
		<value>file:///usr/java/hadoop/datas/datas/dfs/snn/name</value>
	</property>
</configuration>

修改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 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. See accompanying LICENSE file.
-->

<!-- Put site-specific property overrides in this file. -->

<configuration>
	<property>
		<name>mapreduce.framework.name</name>
		<value>yarn</value>
	</property>
	<property>
		<name>mapreduce.map.memory.mb</name>
		<value>1024</value>
	</property>
	<property>
		<name>mapreduce.map.java.opts</name>
		<value>-Xmx512M</value>
	</property>
	<property>
		<name>mapreduce.reduce.memory.mb</name>
		<value>1024</value>
	</property>
	<property>
		<name>mapreduce.reduce.java.opts</name>
		<value>-Xmx512M</value>
	</property>
	<property>
		<name>mapreduce.task.io.sort.mb</name>
		<value>256</value>
	</property>
	<property>
		<name>mapreduce.task.io.sort.factor</name>
		<value>100</value>
	</property>
	<property>
		<name>mapreduce.reduce.shuffle.parallelcopies</name>
		<value>25</value>
	</property>
	<property>
		<name>mapreduce.jobhistory.address</name>
		<value>bigdata:10020</value>
	</property>
	<property>
		<name>mapreduce.jobhistory.webapp.address</name>
		<value>bigdata:19888</value>
	</property>
	<property>
		<name>mapreduce.jobhistory.intermediate-done-dir</name>
		<value>/usr/java/hadoop/datas/jobhsitory/intermediateDoneDatas</value>
	</property>
	<property>
		<name>mapreduce.jobhistory.done-dir</name>
		<value>/usr/java/hadoop/datas/jobhsitory/DoneDatas</value>
	</property>
	<property>
	  <name>yarn.app.mapreduce.am.env</name>
	  <value>HADOOP_MAPRED_HOME=/usr/java/hadoop</value>
	</property>
	<property>
	  <name>mapreduce.map.env</name>
	  <value>HADOOP_MAPRED_HOME=/usr/java/hadoop/</value>
	</property>
	<property>
	  <name>mapreduce.reduce.env</name>
	  <value>HADOOP_MAPRED_HOME=/usr/java/hadoop</value>
	</property>
</configuration>

修改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 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. See accompanying LICENSE file.
-->
<configuration>
	<property>
		<name>dfs.namenode.handler.count</name>
		<value>100</value>
	</property>
	<property>
		<name>yarn.log-aggregation-enable</name>
		<value>true</value>
	</property>
	<property>
		<name>yarn.resourcemanager.address</name>
		<value>bigdata:8032</value>
	</property>
	<property>
		<name>yarn.resourcemanager.scheduler.address</name>
		<value>bigdata:8030</value>
	</property>
	<property>
		<name>yarn.resourcemanager.resource-tracker.address</name>
		<value>bigdata:8031</value>
	</property>
	<property>
		<name>yarn.resourcemanager.admin.address</name>
		<value>bigdata:8033</value>
	</property>
	<property>
		<name>yarn.resourcemanager.webapp.address</name>
		<value>bigdata:8088</value>
	</property>
	<property>
		<name>yarn.resourcemanager.hostname</name>
		<value>bigdata</value>
	</property>
	<property>
		<name>yarn.scheduler.minimum-allocation-mb</name>
		<value>1024</value>
	</property>
	<property>
		<name>yarn.scheduler.maximum-allocation-mb</name>
		<value>2048</value>
	</property>
	<property>
		<name>yarn.nodemanager.vmem-pmem-ratio</name>
		<value>2.1</value>
	</property>
	<!-- 设置不检查虚拟内存的值，不然内存不够会报错 -->
	<property>
		<name>yarn.nodemanager.vmem-check-enabled</name>
		<value>false</value>
	</property>
	<property>
		<name>yarn.nodemanager.resource.memory-mb</name>
		<value>1024</value>
	</property>
	<property>
		<name>yarn.nodemanager.resource.detect-hardware-capabilities</name>
		<value>true</value>
	</property>
	<property>
		<name>yarn.nodemanager.local-dirs</name>
		<value>file:///usr/java/hadoop/datas/nodemanager/nodemanagerDatas</value>
	</property>
	<property>
		<name>yarn.nodemanager.log-dirs</name>
		<value>file:///usr/java/hadoop/datas/nodemanager/nodemanagerLogs</value>
	</property>
	<property>
		<name>yarn.nodemanager.log.retain-seconds</name>
		<value>10800</value>
	</property>
	<property>
		<name>yarn.nodemanager.remote-app-log-dir</name>
		<value>/usr/java/hadoop/datas/remoteAppLog/remoteAppLogs</value>
	</property>
	<property>
		<name>yarn.nodemanager.remote-app-log-dir-suffix</name>
		<value>logs</value>
	</property>
	<property>
		<name>yarn.nodemanager.aux-services</name>
		<value>mapreduce_shuffle</value>
	</property>
	<property>
		<name>yarn.log-aggregation.retain-seconds</name>
		<value>18144000</value>
	</property>
	<property>
		<name>yarn.log-aggregation.retain-check-interval-seconds</name>
		<value>86400</value>
	</property>
	<!-- yarn上面运行一个任务，最少需要1.5G内存，虚拟机没有这么大的内存就调小这个值，不然会报错 -->
	<property>
        <name>yarn.app.mapreduce.am.resource.mb</name>
        <value>1024</value>
	</property>
</configuration>

二、安装Hive

(1) 复制mysql驱动程序到hive的lib目录下。

(2) 配置hive-site.xml

vim hive-site.xml

<configuration>
<property>
	<name>javax.jdo.option.ConnectionPassword</name>
	<value>root</value>
	<description>password to use against metastore database</description>
</property>
<property>
	<name>javax.jdo.option.ConnectionUserName</name>
	<value>root</value>
	<description>Username to use against metastore database</description>
</property>
<property>
	<name>javax.jdo.option.ConnectionURL</name>
	<value>jdbc:mysql://127.0.0.1:3306/hive</value>
</property>
<property>
	<name>javax.jdo.option.ConnectionDriverName</name>
	<value>com.mysql.jdbc.Driver</value>
	<description>Driver class name for a JDBC metastore</description>
</property>
</configuration>

(3) 在msyql中创建存放hive信息的数据库
create database if not exists hive;
insert into mysql.user(Host,User,Password)values('%','hadoop',password('hadoop'));
grant all privileges on hivedb.* to 'hadoop'@'%' identified by 'hadoop';
(4) 初始化hive的元数据(表结构)到mysql中
cd /soft/hive/bin
schematool -dbType mysql -initSchema

不同版本的hadoop或hive里面的guava包版本都不同，重点是hadoop里的包比hive里的版本高。
解决问题：
删除hive中低版本的guava包，把hadoop里的复制到hive的lib目录下即可。

三、安装spark

vim spark-env.sh
export SCALA_HOME=/usr/java/scala
export JAVA_HOME=/usr/java/java8
export HADOOP_HOME=/usr/java/hadoop
export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
export SPARK_LOG_DIR=/usr/java/spark/logs
export SPARK_PID_DIR=/usr/java/spark
export SPARK_DRIVER_MEMORY=512M
export SPARK_MASTER_HOST=bigdata

vim spark-defaults.conf
spark.yarn.jars=hdfs://ns/spark-lib/*.jar
spark.yarn.am.memory=512M
spark.driver.memory=512M
spark.executor.memory=512M
spark.driver.extraClassPath=/usr/java/spark/lib/*

 

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