apache-hive-1.2.1-bin 安装

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技能标签

• 下载apache hive 安装包
• 进行apache-hive-1.2.1-bin.tar.gz安装
• 配置mysql存储元数据
• 配置HDFS存储 /user/hive/warehouse
• 该Hive版本1.2.1默认集成在(Spark1.6 到 Spark2.4)

下载

• 下载安装包apache-hive-1.2.1-bin.tar.gz: https://archive.apache.org/dist/hive/hive-1.2.1
• 由于spark-2.4.0-bin-hadoop2.7 预编译好的捆绑hive版本为hive-1.2.1,为了方便所以选用版本apache-hive-1.2.1-bin
• 如果spark支持其它版本的hive,需要重新手动编译spark源码也可以实现

安装

解压安装包

tar -zxvf apache-hive-1.2.1-bin.tar.gz -C /opt/module/bigdata/

配置环境变量

export HIVE_HOME=/opt/module/bigdata/apache-hive-1.2.1-bin
export PATH=$HIVE_HOME/lib:#PATH

HDFS新建目录

bin/hadoop fs -mkdir -p /user/hive/warehouse #创建目录
bin/hadoop fs -chmod -R 777 /user/hive/warehouse #新建的目录赋予读写权限
bin/hadoop fs -mkdir -p /tmp/hive/#新建/tmp/hive/目录
bin/hadoop fs -chmod -R 777 /tmp/hive #目录赋予读写权限
#用以下命令检查目录是否创建成功
bin/hadoop fs -ls /user/hive
bin/hadoop fs -ls /tmp/hive

连接mysql数据库

• 复制jdbc连接驱动

cp mysql-connector-java-8.0.13.jar $HIVE_HOME/lib/

新建hive-site.xml数据库相关的配置

• touch hive-site.xml文件

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
	 <property>
 <name>hive.metastore.warehouse.dir</name>
 <value>/user/hive/warehouse</value> 
 </property>
 
 <property>
 <name>hive.exec.scratchdir</name>
 <value>/tmp/hive</value> 
 </property>
 
 <property>
 <name>javax.jdo.option.ConnectionURL</name> 
 <value>jdbc:mysql://macbookmysql.com: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.cj.jdbc.Driver</value>
 <description>Driver class name for a JDBC metastore</description>
 </property>
 <property>
 <name>javax.jdo.option.ConnectionUserName</name>
 <value>admin</value>
 <description>username to use against metastore database</description>
 </property>
 <property>
 <name>javax.jdo.option.ConnectionPassword</name>
 <value>000000</value>
 <description>password to use against metastore database</description>
 </property>
</configuration>	

新建hive-env.sh

• cp hive-env.sh.template

# 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
#
# 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
# Hive Configuration Directory can be controlled by:
# export HIVE_CONF_DIR=
# Folder containing extra ibraries required for hive compilation/execution can be controlled by:
# export HIVE_AUX_JARS_PATH=
HADOOP_HOME=/opt/module/bigdata/hadoop-2.9.2
export HIVE_CONF_DIR=/opt/module/bigdata/apache-hive-1.2.1-bin/conf
export HIVE_AUX_JARS_PATH=/opt/module/bigdata/apache-hive-1.2.1-bin/lib

初使化元数据数据库

schematool -initSchema -dbType mysql

启动hive

hive

• hive启动说明

启动hive metastore服务

• 启动该服务会开一个 9083端口
• netstat -ntlup 可以查看服务端占用的端口

hive --service metastore & 

停止hive metastore服务

ps -ef|grep hive
kill -9 pid

启动hiveserver服务 (该服务可以不启动)

hive --service hiveserver2 & 

操作

启动 hive

hive

退出 hive命令

exit;

创建database

create database;

显示所有的database

show databases;

显示所有的表

show tables;

创建表

CREATE TABLE IF NOT EXISTS employee ( name String, salary String) COMMENT 'Employee details' ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t' LINES TERMINATED BY '\n' STORED AS TEXTFILE;

插入数据

• 数据文件 employee.txt

小明 100000
小王 50000
小李 60000

• 插入数据文件到hive上

LOAD DATA LOCAL INPATH '/home/liuwen/temp/employee.txt' OVERWRITE INTO TABLE employee;

查看表数据

 select * from employee;

问题处理

无法访问spark-assembly-*.jar

[liuwen@standalone lib]$ schematool -initSchema -dbType mysql
ls: 无法访问/opt/module/bigdata/spark-2.4.0-bin-without-hadoop/lib/spark-assembly-*.jar: 没有那个文件或目录
Metastore connection URL: jdbc:mysql://macbookmysql.com:3306/hive?createDatabaseIfNotExist=true
Metastore Connection Driver : com.mysql.cj.jdbc.Driver
Metastore connection User: admin
Starting metastore schema initialization to 1.2.0
Initialization script hive-schema-1.2.0.mysql.sql
Error: Duplicate key name 'PCS_STATS_IDX' (state=42000,code=1061)
org.apache.hadoop.hive.metastore.HiveMetaException: Schema initialization FAILED! Metastore state would be inconsistent !!
*** schemaTool failed ***

• 处理方法
• 处理$HIVE_HOME/bin/hive

 #sparkAssemblyPath=`ls ${SPARK_HOME}/lib/spark-assembly-*.jar`
 sparkAssemblyPath=`ls ${SPARK_HOME}/jars/*.jar`