Hive Beeline Client Usage

posted on Nov 20th, 2016

Apache Hive

Apache Hive is a data warehouse infrastructure built on top of Hadoop for providing data summarization, query, and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop. The traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over a distributed data. Hive provides the necessary SQL abstraction to integrate SQL-like Queries (HiveQL) into the underlying Java API without the need to implement queries in the low-level Java API. Since most of the data warehousing application work with SQL based querying language, Hive supports easy portability of SQL-based application to Hadoop.

Pre Requirements

1) A machine with Ubuntu 14.04 LTS operating system

2) Apache Hadoop 2.6.4 pre installed (How to install Hadoop on Ubuntu 14.04)

3) Apache Hive 2.1.0 pre installed (How to Install Hive on Ubuntu 14.04)

Hive Beeline Client Usage

Beeline is started with the JDBC URL of the HiveServer2, which depends on the address and port where HiveServer2 was started. By default, it will be (localhost:10000), so the address will look like jdbc:hive2://localhost:10000.

Step 1 - Copy hive-jdbc-2.1.0-standalone.jar from $HIVE_HOME/jdbc/ to $HIVE_HOME/lib/ folder.

$ cp $HIVE_HOME/jdbc/hive-jdbc-2.1.0-standalone.jar $HIVE_HOME/lib/

Step 2 - Change the directory to /usr/local/hive/bin

$ cd $HIVE_HOME/bin

Step 3 - Start hiveserver2 daemon

$ hiveserver2


$ hive --service hiveserver2 &

Step 4 - Start beeline client

$ beeline

Step 5 - Connect to hiveserver2

beeline> !connect jdbc:hive2://localhost:10000 "" ""

Step 6 - To list all the tables those are in default database.

jdbc:hive2://localhost:10000> show tables;

Please share this blog post and follow me for latest updates on

facebook             google+             twitter             feedburner

Previous Post                                                                                          Next Post

Labels : Hive Installation With Derby Database Metastore   Hive Installation With MySQL Database Metastore   hiveserver2 and Web UI usage   WordCount hiveQL Execution   Hive Metastore Configuration   Hive Command Line Interface   Hive Shell Commands usage   Hive Distributed Cache   HDFS and Linux Commands in hive shell   Customizing hive logs   Database Commnds Usage   Table Commands Usage   Hive Partitioning Configuration   Hive Bucketing Configuration   UDFs Java Example   UDAFs Java Example   UDTF Java Example   Hive JDBC client Java Example   Hive Web Interface (HWI)   HiveQL Examples