After Hadoop – psedodistributed mode installation – second time, this is our next ICT job as part of my course. Let’s install and test Hive. This would be a continuation of the Hadoop installation. Hence I’d be following the folder structures, usernames as given in the previous post.
Apache Hive is a data warehouse infrastructure built on top of Hadoop for providing data summarization, query, and analysis. While developed by Facebook, Apache Hive is now used and developed by other companies such as Netflix and the Financial Industry Regulatory Authority (FINRA). Amazon maintains a software fork of Apache Hive that is included in Amazon Elastic MapReduce on Amazon Web Services.
Download and Install
hadoop@gandhari:/opt/hadoop-2.6.4$ wget http://download.nus.edu.sg/mirror/apache/hive/hive-2.1.0/apache-hive-2.1.0-bin.tar.gz
hadoop@gandhari:/opt/hadoop-2.6.4$ gunzip apache-hive-2.1.0-bin.tar.gz
hadoop@gandhari:/opt/hadoop-2.6.4$ -xvf apache-hive-2.1.0-bin.tar
hadoop@gandhari:/opt/hadoop-2.6.4$ ln -s apache-hive-2.1.0-bin/ hive
Setup Environment – .bashrc changes
Make the following .bashrc file
#HIVE VARIABLES
export HIVE_HOME=/opt/hadoop/apache-hive-2.1.0-bin
export HIVE_CONF_DIR=$HIVE_HOME/conf
export PATH=$PATH:$HIVE_HOME/bin
Setup Environment – Creating directory structure
hadoop@gandhari:~$ hadoop fs -mkdir /tmp
mkdir: Call From gandhari/192.168.0.169 to gandhari:9000 failed on connection exception: java.net.ConnectException: Connection refused; For more details see: http://wiki.apache.org/hadoop/ConnectionRefused
DFS and Yarn should be running to setup on hive.
hadoop@gandhari:~$ start-dfs.sh
hadoop@gandhari:~$ start-yarn.sh
hadoop@gandhari:~$ hadoop fs -mkdir /tmp
mkdir: `/tmp’: File exists
hadoop@gandhari:~$ hadoop fs -mkdir /user
hadoop@gandhari:~$ hadoop fs -mkdir /user/hive
hadoop@gandhari:~$ hadoop fs -mkdir /user/hive/warehouse
hadoop@gandhari:~$ hadoop fs -chmod g+w /tmp
hadoop@gandhari:~$ hadoop fs -chmod g+w /user/hive/warehouse
Install MySQL Server
hadoop@gandhari:~$ sudo apt-get install mysql-server
hadoop@gandhari:~$ sudo /etc/init.d/mysql start
[ ok ] Starting mysql (via systemctl): mysql.service.
hadoop@gandhari:~$ sudo apt-get install mysql-client
hadoop@gandhari:~$ sudo apt-get install libmysql-java
hadoop@gandhari:~$ cp /usr/share/java/mysql.jar $HIVE_HOME
hadoop@gandhari:~$ cp /usr/share/java/mysql-connector-java-5.1.38.jar /opt/hadoop/hive/lib/
hadoop@gandhari:~$ /usr/bin/mysql_secure_installation
Creating Hive database
hadoop@gandhari:~/apache-hive-2.1.0-bin$ mysql -u root -p
Enter password:
mysql> CREATE DATABASE metastore;
Query OK, 1 row affected (0.00 sec)
mysql> USE metastore;
Database changed
mysql> SOURCE /opt/hadoop-2.6.4/hive/scripts/metastore/upgrade/mysql/hive-schema-0.12.0.mysql.sql
mysql> CREATE USER hive@gandhari IDENTIFIED BY ‘P@ssw0rd’;
mysql> REVOKE ALL PRIVILEGES, GRANT OPTION FROM hive@gandhari;
mysql> GRANT SELECT,INSERT,UPDATE,DELETE,LOCK TABLES,EXECUTE ON metastore.* TO hive@gandhari;
mysql> FLUSH PRIVILEGES;
mysql> GRANT ALL ON metastore.* TO ‘hive’@’%’ IDENTIFIED BY ‘P@ssw0rd’;
mysql> GRANT SELECT,INSERT,UPDATE,SELECT ON *.* TO ‘hive’ IDENTIFIED BY ‘P@ssw0rd’;
mysql> GRANT ALL ON *.* TO ‘hive’@’127.0.0.1’ IDENTIFIED BY ‘P@ssw0rd’;
mysql> GRANT ALL ON *.* TO ‘hive’@’localhost’ IDENTIFIED BY ‘P@ssw0rd’;
mysql> GRANT ALL ON *.* TO ‘hive’@’%’ IDENTIFIED BY ‘P@ssw0rd’;
mysql> GRANT ALL ON metastore.* TO ‘hive’@’%’ IDENTIFIED BY ‘P@ssw0rd’;
mysql> GRANT ALL PRIVILEGES ON *.* TO ‘hive’@’gandhari’ IDENTIFIED BY ‘P@ssw0rd’;
mysql> GRANT ALL PRIVILEGES ON *.* TO ‘hive’@’192.168.0.169’ IDENTIFIED BY ‘P@ssw0rd’;
mysql> GRANT ALL privileges ON metastore.* TO ‘hive’@’127.0.0.1’ IDENTIFIED BY ‘P@ssw0rd’;
mysql> GRANT ALL privileges ON *.* TO ‘hive’@’127.0.0.1’ IDENTIFIED BY ‘P@ssw0rd’;
mysql> GRANT ALL privileges ON metastore.* TO ‘hive’@’127.0.0.1’ IDENTIFIED BY ‘P@ssw0rd’;
mysql> GRANT ALL privileges ON *.* TO ‘%’@’%’ IDENTIFIED BY ‘P@ssw0rd’;
mysql> GRANT ALL privileges ON *.* TO ‘*’@’*’ IDENTIFIED BY ‘P@ssw0rd’;
mysql> FLUSH PRIVILEGES;
Grant all permissions to Hive user
mysql> GRANT ALL privileges ON metastore.* TO ‘hive’@’127.0.0.1’ IDENTIFIED BY ‘P@ssw0rd’;
mysql> GRANT ALL privileges ON metastore.* TO ‘hive’@’gandhari’ IDENTIFIED BY ‘P@ssw0rd’;
mysql> GRANT ALL privileges ON metastore.* TO ‘hive’@’%’ IDENTIFIED BY ‘P@ssw0rd’;
mysql> FLUSH PRIVILEGES;
mysql> exit;
Creating Hive config file
hadoop@gandhari:~/hive/conf$ cp hive-default.xml.template hive-site.xml
hadoop@gandhari:~/hive/conf$ vi hive-site.xml
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://localhost/metastore</value>
</property>
<property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
</property>
<property>
<name>javax.jdo.option.ConnectionUserName</name>
<value>hive</value>
</property>
<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>P@ssw0rd</value>
</property>
<property>
<name>datanucleus.schema.autoCreateAll</name>
<value>true</value>
</property>
<property>
<name>hive.stats.autogather</name>
<value>false</value>
</property>
<property>
<name>hive.metastore.warehouse.dir</name>
<value>/user/hive/warehouse</value>
</property>
<property>
<name>hive.exec.local.scratchdir</name>
<value>/tmp</value>
</property>
<property>
<name>hive.downloaded.resources.dir</name>
<value>/tmp</value>
</property>
<property>
<name>hive.querylog.location</name>
<value>/tmp</value>
</property>
<property>
<name>hive.server2.logging.operation.log.location</name>
<value>/tmp/operation_logs</value>
</property>
We’ll be launching hive shortly. Let’s make sure the demons are running
hadoop@gandhari:~$ jps
7410 ResourceManager
6931 NameNode
7254 SecondaryNameNode
7046 DataNode
7527 NodeManager
7817 Jps
Creating demo table and test
hive> CREATE TABLE demo1 (id int, name string);
OK
Time taken: 1.448 seconds
hive> SHOW TABLES;
OK
demo1
Time taken: 0.195 seconds, Fetched: 1 row(s)
hive> select count(*) from demo1;
WARNING: 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. spark, tez) or using Hive 1.X releases.
Query ID = hadoop_20160823145925_c4271279-c5c0-4948-a1c3-fb6f79718b5d
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>
Job running in-process (local Hadoop)
2016-08-23 14:59:29,802 Stage-1 map = 0%, reduce = 100%
Ended Job = job_local1827679072_0001
MapReduce Jobs Launched:
Stage-Stage-1: HDFS Read: 0 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 0 msec
OK
0
Time taken: 4.525 seconds, Fetched: 1 row(s)
hive>
I faced the following issues –

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