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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-jdbc*.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# commons-logging-1.0.4.jar#
#
# Following additional jars are needed for the kerberos secure mode -
# hive-exec*.jar
# commons-configuration-1.6.jar
# and from hadoop - hadoop-*core.jar
# To run the program in embedded mode, we need the following additional jars in the classpath
# from hive/build/dist/lib
# hive-exec*.jar
# hive-metastore*.jar
# 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
#
# from hadoop/build
# hadoop-*-core.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. The script adds all the
# additional jars needed for using HiveServer2 in embedded mode as well.
#!/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 $HADOOP_HOME/hadoop-*-core.jar}}
CLASSPATH=.:$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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