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# Then on the command-line
$ javac HiveJdbcClient.java

# To run the program in standalone mode, we need the following jars in the classpath
# from hive/build/dist/lib
#     hive-exec*.jar
#     hive-jdbc*.jar
#     hive-metastore*.jar
#     hive-service*.jar
#     libfb303-0.9.0.jar#  libthrift-0.9.0.jar# log4j-1.2.16.jar# slf4j-api-1.6.1.jar# slf4j-log4j12-1.6.1.jar#
# from hadoop/build
#     hadoop-*-core.jar
#
# To run the program in embedded mode, we need the following additional jars in the classpath
# from hive/build/dist/lib
#     antlr-runtime-3.0.1.jar
#     derby.jar
#     jdo2-api-2.1.jar
#     jpox-core-1.2.2.jar
#     jpox-rdbms-1.2.2.jar
#
# as well as hive/build/dist/conf, any HIVE_AUX_JARS_PATH set, and hadoop jars necessary to run MR jobs (eg lzo codec)

$ java -cp $CLASSPATH HiveJdbcClient

# Alternatively, you can run the following bash script, which will seed the data file
# and build your classpath before invoking the client.

#!/bin/bash
HADOOP_HOME=/your/path/to/hadoop
HIVE_HOME=/your/path/to/hive

echo -e '1\x01foo' > /tmp/a.txt
echo -e '2\x01bar' >> /tmp/a.txt

HADOOP_CORE={{ls $HADOOP_HOME/hadoop-*-core.jar}}
CLASSPATH=.:$HADOOP_CORE:$HIVE_HOME/conf:`hadoop classpath`

for i in ${HIVE_HOME}/lib/*.jar ; do
    CLASSPATH=$CLASSPATH:$i
done

java -cp $CLASSPATH HiveJdbcClient


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