Hadoop-2.7.3环境下Hive-2.1.1安装配置。

环境:ubuntu-16.0.4；jdk1.8.0_111;apache-hadoop-2.7.3;apache-hive-2.1.1。

这里只记录Hive的安装。

首先从官网上下载所需要的版本，本人下载的apache-hive-2.1.1-bin.tar.gz。放到用户主目录下面。

（1）解压：

         $tar -zxvf apache-hive-2.1.1-bin.tar.gz

（2）进入到conf目录:

         $cd apache-hive-2.1.1-bin/bin/conf

         $ls

         会看到有下面这些文件：

beeline-log4j2.properties.template  hive-exec-log4j2.properties.template  llap-cli-log4j2.properties.template

hive-default.xml.template           hive-log4j2.properties.template       llap-daemon-log4j2.properties.template

hive-env.sh.template                ivysettings.xml                       parquet-logging.properties

              然后在conf路径下，执行以下几个命令

             $cp hive-default.xml.template hive-default.xml

             $cp hive-env.sh.template hive-env.sh

             $cp hive-default.xml hive-site.xml

（3）添加mysql驱动：

         下载mysql-connector-java-x.y.z-bin.jar文件并放到apache-hive-2.1.1-bin/lib目录下面。

（4）设置路径及环境变量：

          $sudo mv apache-hive-2.1.1-bin /usr/local/

          $sudo vim /etc/profile
          添加HIVE_HOME。

          source /etc/profile

（5）修改hive-site.xml及hive-env.sh相关配置

         将hive-site.xml文件中的内容修改为如下所示：

         

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://localhost:3306/hive?createDatabaseIfNotExist=true</value>
<description>JDBC connect string for a JDBC metastore</description>
</property>
<property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
<description>Driver class name for a JDBC metastore</description>
</property>

<property>
<name>javax.jdo.option.ConnectionUserName</name>
<value>hive</value>
<description>username to use against metastore database</description>
</property>
<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>123456</value>
<description>password to use against metastore database</description>
</property>
</configuration>

 

          将hive-env.sh文件修改为如下所示：

         

# 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 Hive and Hadoop environment variables here. These variables can be used
# to control the execution of Hive. It should be used by admins to configure
# the Hive installation (so that users do not have to set environment variables
# or set command line parameters to get correct behavior).
#
# The hive service being invoked (CLI/HWI etc.) is available via the environment
# variable SERVICE

# Hive Client memory usage can be an issue if a large number of clients
# are running at the same time. The flags below have been useful in
# reducing memory usage:
#
# if [ "$SERVICE" = "cli" ]; then
#   if [ -z "$DEBUG" ]; then
#     export HADOOP_OPTS="$HADOOP_OPTS -XX:NewRatio=12 -Xms10m -XX:MaxHeapFreeRatio=40 -XX:MinHeapFreeRatio=15 -XX:+UseParNewGC -XX:-UseGCOverheadLimit"
#   else
#     export HADOOP_OPTS="$HADOOP_OPTS -XX:NewRatio=12 -Xms10m -XX:MaxHeapFreeRatio=40 -XX:MinHeapFreeRatio=15 -XX:-UseGCOverheadLimit"
#   fi
# fi

# The heap size of the jvm stared by hive shell script can be controlled via:
#
# export HADOOP_HEAPSIZE=1024
export HADOOP_HEAPSIZE=1024
#
# Larger heap size may be required when running queries over large number of files or partitions.
# By default hive shell scripts use a heap size of 256 (MB).  Larger heap size would also be
# appropriate for hive server (hwi etc).

# Set HADOOP_HOME to point to a specific hadoop install directory
# HADOOP_HOME=${bin}/../../hadoop
HADOOP_HOME=/usr/local/hadoop  #这里设置成自己的hadoop路径
# Hive Configuration Directory can be controlled by:
# export HIVE_CONF_DIR=
export HIVE_CONF_DIR=/usr/local/apache-hive-2.1.1-bin/conf
# Folder containing extra ibraries required for hive compilation/execution can be controlled by:
# export HIVE_AUX_JARS_PATH=
export HIVE_AUX_JARS_PATH=/usr/local/apache-hive-2.1.1-bin/lib

 （6）在mysql里创建hive用户，并赋予其足够权限

       1.$mysql -u root -p

       2.mysql> create user 'hive' identified
by '123456';
          Query OK, 0 rows affected (0.00 sec)

         mysql> grant all privileges on *.* to 'hive' with grant option;
         Query OK, 0 rows affected (0.00 sec)

         mysql> flush privileges;
         Query OK, 0 rows affected (0.01 sec)

    （7）设置元数据库

        $schematool -initSchema -dbType
mysql

如果hive的元数据库是本地环境下，至此就完成了安装。

如果hive的元数据库是远程环境下，在服务端主机上执行完第5步的时候，然后将apache-hive-2.1.1-bin文件夹拷贝到客户端上。同时，将服务端中hive-site.xml中URL地址的localhost改成服务端的ip地址。

并将客户端的hive-site.xml文件中的内容修改为如下所示：

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>hive.metastore.uris</name>
<value>thrift://服务端ip地址:9083</value>
</property>
</configuration>

这个时候，客户端需要启动metastore服务：

$hive --service metastore &

如果一直没反应，按回车，可以使用jobs命令查看是否启动成功

启动成功后，就可以执行hive命令。