Skip to main content

Hive Beeline Client Usage

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
OR
$ 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

Comments

Popular posts from this blog

Apache Spark WordCount scala example

Apache Spark is an open source cluster computing framework. Originally developed at the University of California, Berkeley's AMPLab, the Spark codebase was later donated to the Apache Software Foundation, which has maintained it since. Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance. 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 Spark 1.6.1 pre installed ( How to install Spark on Ubuntu 14.04 ) Spark WordCount Scala Example Step 1 - Change the directory to /usr/local/spark/sbin. $ cd /usr/local/spark/sbin Step 2 - Start all spark daemons. $ ./start-all. sh Step 3 - The JPS (Java Virtual Machine Process Status Tool) tool is limited to reporting information on JVMs for which it has the access permissions. $ jp...

Hive hiveserver2 and Web UI usage

Hive hiveserver2 and Web UI usage HiveServer2 (HS2) is a server interface that enables remote clients to execute queries against Hive and retrieve the results (a more detailed intro here). The current implementation, based on Thrift RPC, is an improved version of HiveServer and supports multi-client concurrency and authentication. It is designed to provide better support for open API clients like JDBC and ODBC. Step 1 - Change the directory to /usr/local/hive/bin $ cd $HIVE_HOME/bin Step 2 - Start hiveserver2 daemon $ hiveserver2 OR $ hive --service hiveserver2 & Step 3 - You can browse to hiveserver2 web ui at following url http: //localhost:10002/hiveserver2.jsp Step 4 - You can see the hive logs in /tmp/hduser/hive. log To kill hiveserver2 daemon $ ps -ef | grep -i hiveserver2 $ kill - 9 29707 OR $ rm -rf /var/run/hive/hive...

Apache Spark Shell Usage

Apache Spark is an open source cluster computing framework. Originally developed at the University of California, Berkeley's AMPLab, the Spark codebase was later donated to the Apache Software Foundation, which has maintained it since. Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance. 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 Spark 1.6.1 pre installed ( How to install Spark on Ubuntu 14.04 ) Spark Shell Usage The Spark shell provides an easy and convenient way to prototype certain operations quickly, without having to develop a full program, packaging it and then deploying it. Step 1 - Change the directory to /usr/local/hadoop/sbin. $ cd /usr/local/hadoop/sbin Step 2 - Start all hadoop daemons. $ ./start-all. sh ...