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This section of the Apache Hive Tutorial explains step-by-step Apache Hive Installation and configuring on Ubuntu.


Apache Hive needs Apache Hadoop Installation to be set up and running HDFS as Hive required HDFS to store the data files.

Download and Install Apache Hive

Download the Apache Hive from, I will be downloading and installing Hive 3.1.2


Once your download is complete, unzip the file’s contents using tar, a file archiving tool for Ubuntu, and rename the directory to hive.

tar -xzf apache-hive-3.1.2-bin.tar.gz
mv apache-hive-3.1.2 hive

Hive Environment Variables.

Append Hive environment variables to .bashrc file. After adding Hive variables you should have bashrc file as shown below.

vi ~/.bashrc

#Hadoop configurations
export HADOOP_HOME=/home/ubuntu/hadoop

#Hive configurations
export HIVE_HOME=/home/prabha/hive
export PATH=$PATH:$HIVE_HOME/sbin:$HIVE_HOME/bin

Now re-load the environment variables to the opened session or close and open the shell.

source ~/.bashrc

Edit Hive Configurations

Hive distribution comes with hive-default.xml.template @ $HIVE_HOME/conf directory, copy this file to hive-site.xml file.

cp conf/hive-default.xml.template conf/hive-site.xml

Now edit hive-site.xml configuration file by opening using vi editor.

vi conf/hive-site.xml
  1. Replace all occurrences of ${} to /tmp/hive

This is the location Hive stores all it’s temporary files.

2. Replace all occurrences of ${} to username, the username should be the one you log in with.

After replace above two properties, you should have something like below for the properties you updated.

    <description>Local scratch space for Hive jobs</description>
    <description>Temporary local directory for added resources in the remote file system.</description>
    <description>Location of Hive run time structured log file</description>
    <description>Top level directory where operation logs are stored if logging functionality is enabled</description>

3. Hive Database warehouse location

Hive by default stores data warehouse location as /user/hive/warehouse, if you wanted to change, specify your preferred location on the below property.

    <description>location of default database for the warehouse</description>

4. Hive Metastore database

I will be using default embedded Derby Metastore, in case if you wanted to use MySQL or any other RDBMS database, change the below configurations accordingly.

      JDBC connect string for a JDBC metastore.
      To use SSL to encrypt/authenticate the connection, provide database-specific SSL flag in the connection URL.
      For example, jdbc:postgresql://myhost/db?ssl=true for postgres database.

Create Hive Warehouse Directories

As mentioned in the introduction, Hive uses Hadoop HDFS to store the data files hence, we need to create certain directories in HDFS in order to work

First create the HIve data warehouse directory on HDFS.

hdfs dfs -mkdir /user/hive/warehouse

and then create the temporary tmp directory.

hdfs dfs -mkdir /user/tmp

Hive required read and write access to these directories hence, change the permission and grant read and write to HIve.

hdfs dfs -chmod g+w /user/tmp
hdfs dfs -chmod g+w /user/hive/warehouse

Create Hive Metastore Derby Database

Post Apache Hive Installation, before you start using Hive, you need to initialize the Metastore database with the database type you choose. By default Hive uses the Derby database, you can also choose any RDBS database for Metastore.

Run the schematool -initSchema -dbType derby command, which initializes the derby as Metastore database for Hive.

prabha@namenode:~/hive$ bin/schematool -initSchema -dbType derby

This outputs below.

prabha@namenode:~/hive$ schematool -initSchema -dbType derby
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/home/prabha/hive/lib/log4j-slf4j-impl-2.10.0.jar!/org/slf4                                                                        j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/home/prabha/hadoop/share/hadoop/common/lib/slf4j-log4j12-1                                                                        .7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
Metastore connection URL:        jdbc:derby:;databaseName=metastore_db;create=true
Metastore Connection Driver :    org.apache.derby.jdbc.EmbeddedDriver
Metastore connection User:       APP
Starting metastore schema initialization to 3.1.0
Initialization script hive-schema-3.1.0.derby.sql
Initialization script completed
schemaTool completed

Start Hive CLI Terminal

Let’s check if Hive installed properly by running hive --version command.

Apache Hive installation - version
Apache Hive Version

Run Hive CLI to run some HiveQL queries.


Now run the show databases from Hive CLI and confirm you are seeing the below output. Hive by default comes with default database.

Hive Installation - show databases
Hive Show databases

Start Hive Beeline

There are several limitations using Hive CLI hence in the new version its been deprecated and introduced Beeline to connect to Hive.

Hive beeline can be run in an embedded mode which is a quick way to run some HiveQL queries, this is similar to Hive CLI (older version).

prabha@namenode:~/hive$ bin/beeline -u jdbc:hive2:// -n scott -p tiger
Connected to: Apache Hive (version 3.1.2)
Driver: Hive JDBC (version 3.1.2)
Beeline version 3.1.2 by Apache Hive
0: jdbc:hive2://>

Now run show databases to get the list of databases.

Start HiveServer2

You can also connect to Hive from a remote server by starting Hive HiveServer2.

prabha@namenode:~/hive$ $HIVE_HOME/bin/hiveserver2
apache hive installation - hiveserver2

Now you can connect to Hive from a remote server either using Beeline or from Java, Scala, Python applications using Hive JDBC Connection string

prabha@namenode:~/hive$ bin/beeline -u jdbc:hive2:// scott tiger

Hope you like Apache Hive Installation and able to setup and run Hive on your system, If you get any issues while setting up Hive, please specify the issue in comment, I will reply to it with the solution.

Happy Learning !!

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  1. Anonymous

    very nice article… works like charm.. thanks