CHD-5.3.6集群上hive安装
2024-08-29 22:07:05
解压过后:
[hadoop@master CDH5.3.6]$ ls -rlt
total 8
drwxr-xr-x. 17 hadoop hadoop 4096 Jun 2 16:07 hadoop-2.5.0-cdh5.3.6
drwxr-xr-x. 11 hadoop hadoop 4096 Jun 2 16:28 hive-0.13.1-cdh5.3.6
1.配置hive-env.sh
export JAVA_HOME=/usr/local/jdk1.
export HADOOP_HOME=/home/hadoop/CDH5.3.6/hadoop-2.5.-cdh5.3.6
export HIVE_HOME=/home/hadoop/CDH5.3.6/hive-0.13.-cdh5.3.6
export HIVE_CONF_DIR=/home/hadoop/CDH5.3.6/hive-0.13.-cdh5.3.6/conf
2.配置hive-log4j.properties
hive.log.dir=/home/hadoop/CDH5.3.6/hive-0.13.-cdh5.3.6/log
3.配置hive-site.xml
这个寻找Apache-hadoop下的就可以,直接考过来就可以,在conf 目录下
4.配置环境变量
vi .bash_profile
export HADOOP_HOME=/home/hadoop/CDH5.3.6/hadoop-2.5.-cdh5.3.6
export HADOOP_MAPRED_HOME=$HADOOP_HOME
export HADOOP_COMMON_HOME=$HADOOP_HOME
export HADOOP_HDFS_HOME=$HADOOP_HOME
export YARN_HOME=$HADOOP_HOME
export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native
export HIVE_HOME=/home/hadoop/CDH5.3.6/hive-0.13.-cdh5.3.6
export HADOOP_INSTALL=$HADOOP_HOME
export PATH=$PATH:$HADOOP_HOME/sbin:$HADOOP_HOME/bin:$MAVEN_HOME/bin:$HIVE_HOME/bin
5.拷贝MySQL包
cp /home/hadoop/hive/lib/mysql-connector-java-5.1..jar ./
6.hive命令报错:
Exception in thread "main" java.lang.RuntimeException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.metastore.HiveMetaStoreClient
解决方法:
格式化MySQL:
schematool -dbType mysql -initSchema
7.进入hive
hive (default)>
> CREATE TABLE dept(
> deptno int,
> dname string,
> loc string)
> ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS textfile;
OK
Time taken: 0.57 seconds
8.准备数据:
vi detp.txt
,ACCOUNTING,NEW YORK
,RESEARCH,DALLAS
,SALES,CHICAGO
,OPERATIONS,BOSTON
9.装数据:
load data local inpath '/home/hadoop/tmp/detp.txt' overwrite into table dept;
10.查询:
hive (default)> select count(1) from dept;
Total jobs =
Launching Job out of
Number of reduce tasks determined at compile time:
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapreduce.job.reduces=<number>
Starting Job = job_1559517371869_0001, Tracking URL = http://master:8088/proxy/application_1559517371869_0001/
Kill Command = /home/hadoop/CDH5.3.6/hadoop-2.5.-cdh5.3.6/bin/hadoop job -kill job_1559517371869_0001
Hadoop job information for Stage-: number of mappers: ; number of reducers:
-- ::, Stage- map = %, reduce = %
-- ::, Stage- map = %, reduce = %, Cumulative CPU 0.79 sec
-- ::, Stage- map = %, reduce = %, Cumulative CPU 1.7 sec
MapReduce Total cumulative CPU time: seconds msec
Ended Job = job_1559517371869_0001
MapReduce Jobs Launched:
Stage-Stage-: Map: Reduce: Cumulative CPU: 1.7 sec HDFS Read: HDFS Write: SUCCESS
Total MapReduce CPU Time Spent: seconds msec
OK
_c0 Time taken: 22.14 seconds, Fetched: row(s)
页面验证:
http://192.168.1.30:8088/cluster
http://192.168.1.30:50070/dfshealth.html#tab-overview
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