여기서 강조하고 싶은 점:
Hadoop, Zookpeer, Spark, Kafka가 정상적으로 시작되었습니다.
Hive 설치 및 배포 시작
기본 종속성 환경:
1,jdk 1.6+ 2, hadoop 2.x 3,hive 0.13-0.19 4,mysql (mysql-connector-jar)
설치 세부 사항은 다음과 같습니다.
#java export JAVA_HOME=/soft/jdk1.7.0_79/ export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar #bin export PATH=$PATH:/$JAVA_HOME/bin:$HADOOP_HOME/bin:$SCALA_HOME/bin:$SPARK_HOME/bin:/usr/local/hadoop/hive/bin #hadoop export HADOOP_HOME=/usr/local/hadoop/hadoop #scala export SCALA_HOME=/usr/local/hadoop/scala #spark export SPARK_HOME=/usr/local/hadoop/spark #hive export HIVE_HOME=/usr/local/hadoop/hive
>
https://hive.apache.org/downloads.html
tar xvf apache-hive-2.1.0-bin.tar.gz -C /usr/local/hadoop/ cd /usr/local/hadoop/ mv apache-hive-2.1.0 hive
修改启动环境 cd /usr/local/hadoop/hive vim bin/hive-config.sh #java export JAVA_HOME=/soft/jdk1.7.0_79/ #hadoop export HADOOP_HOME=/usr/local/hadoop/hadoop #hive export HIVE_HOME=/usr/local/hadoop/hive
cd /usr/local/hadoop/hive vim conf/hive-site.xml <configuration> <property> <name>javax.jdo.option.ConnectionURL</name> <value>jdbc:mysql://master:3306/hive?createDatabaseInfoNotExist=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>xujun</value> <description>password to use against metastore database</description> </property> </configuration>
수정 다음을 포함하는 구성 항목의 값을 수정합니다. 위 주소 /tmp/hive 에 "system:java.io.tmpdir" 2. mysql을 설치하고 시작합니다1. 데이터베이스 생성
create database hive grant all on *.* to hive@'%' identified by 'hive'; flush privileges;
cd /usr/local/hadoop/hive bin/schematool -initSchema -dbType mysql SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory] Metastore connection URL: jdbc:mysql://hadoop3:3306/hive?createDatabaseInfoNotExist=true Metastore Connection Driver : com.mysql.jdbc.Driver Metastore connection User: hive Starting metastore schema initialization to 2.1.0 Initialization script hive-schema-2.1.0.mysql.sql Initialization script completed schemaTool completed
[hadoop@hadoop1 hadoop]$ hive/bin/hive which: no hbase in (/usr/lib64/qt-3.3/bin:/usr/local/bin:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin://soft/jdk1.7.0_79//bin:/bin:/bin:/bin:/usr/local/hadoop/hive/bin:/home/hadoop/bin) SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/usr/local/hadoop/hive/lib/log4j-slf4j-impl-2.4.1.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/usr/local/hadoop/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory] Logging initialized using configuration in jar:file:/usr/local/hadoop/hive/lib/hive-common-2.1.0.jar!/hive-log4j2.properties Async: true Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. tez, spark) or using Hive 1.X releases. hive> show databases; OK default Time taken: 1.184 seconds, Fetched: 1 row(s) hive>