2、CDH组件安装

一、zookeeper

1、安装

继续—>完成；

二、HDFS

1、安装

继续—>完成；

三、yarn、hive

1、安装yarn

继续—>完成；

2、安装hive

继续—>完成；

3、测试hive

hive> show tables;
OK
Time taken: 0.41 seconds

hive> create table student(id int, name string) ROW FORMAT DELIMITED FIELDS TERMINATED BY ‘\t‘;
OK
Time taken: 0.168 seconds

hive> show tables;
OK
student
Time taken: 0.019 seconds, Fetched: 1 row(s)

hive> load data local inpath ‘/home/stu.txt‘ into table student;
Loading data to table default.student
Table default.student stats: [numFiles=1, numRows=0, totalSize=36, rawDataSize=0]
OK
Time taken: 0.471 seconds

hive> select * from student;
OK
1001    zhangsan
1002    lisi
1003    wangwu

###hive on yarn
[[email protected] ~]# su - hdfs hive
19/06/05 13:33:23 WARN conf.HiveConf: DEPRECATED: Configuration property hive.metastore.local no longer has any effect. Make sure to provide a valid value for hive.metastore.uris if you are connecting to a remote metastore.

Logging initialized using configuration in jar:file:/opt/cloudera/parcels/CDH-5.3.6-1.cdh5.3.6.p0.11/jars/hive-common-0.13.1-cdh5.3.6.jar!/hive-log4j.properties
hive> select count(1) from student;
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
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_1559705875106_0001, Tracking URL = http://bigdata-cdh03.ibeifeng.com:8088/proxy/application_1559705875106_0001/
Kill Command = /opt/cloudera/parcels/CDH-5.3.6-1.cdh5.3.6.p0.11/lib/hadoop/bin/hadoop job  -kill job_1559705875106_0001
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 1
2019-06-05 13:33:46,429 Stage-1 map = 0%,  reduce = 0%
2019-06-05 13:33:51,610 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 0.86 sec
2019-06-05 13:33:57,788 Stage-1 map = 100%,  reduce = 100%, Cumulative CPU 2.16 sec
MapReduce Total cumulative CPU time: 2 seconds 160 msec
Ended Job = job_1559705875106_0001
MapReduce Jobs Launched:
Stage-Stage-1: Map: 1  Reduce: 1   Cumulative CPU: 2.16 sec   HDFS Read: 264 HDFS Write: 2 SUCCESS
Total MapReduce CPU Time Spent: 2 seconds 160 msec
OK
3
Time taken: 20.502 seconds, Fetched: 1 row(s)

4、服务组件配置

如，配置HDFS

如，配置hive：

四、HBase

1、安装

继续—>完成；

原文地址：https://www.cnblogs.com/weiyiming007/p/10985045.html