apache-hive-1.2.1-bin 安装

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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`