sqlContext.tableNames not fetching any hive tables [duplicate] - apache-spark

Question

I have Hive 0.13 installation and have created custom databases. I have spark 1.1.0 single node cluster built using mvn -hive option.
I want to access tables in this database in spark application using hivecontext. But hivecontext is always reading the local metastore created in spark directory. I have copied the hive-site.xml in spark/conf directory.
Do I need to do any other configuration?

Answer 1

Step 1:
Setup SPARK with latest version....
$ cd $SPARK_Home; ./sbt/sbt -Phive assembly
$ cd $SPARK_Home; ./sbt/sbt -Phivethriftserver assembly
By executing this you will download some jar files and bydefault it will be added no need to add....
Step 2:
Copy hive-site.xml from your Hive cluster to your $SPARK_HOME/conf/dir and edit the XML file and add these properties to that file which is listed below:
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://MYSQL_HOST:3306/hive_{version}</value>
<description>JDBC connect string for a JDBC metastore</description>
</property>
<property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
<description>Driver class name for a JDBC metastore/description>
</property>
<property>
<name>javax.jdo.option.ConnectionUserName</name>
<value>XXXXXXXX</value>
<description>Username to use against metastore database/description>
</property>
<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>XXXXXXXX</value>
<description>Password to use against metastore database/description>
</property>
Step 3: Download MYSQL JDBC connector and add that to SPARK CLASSPATH.
Run this command bin/compute-classpath.sh
and add the below line for the following script.
CLASSPATH=”$CLASSPATH:$PATH_TO_mysql-connector-java-5.1.10.jar
How to retrieve the data from HIVE to SPARK....
Step 1:
Start all deamons by the following command....
start-all.sh
Step 2:
Start hive thrift server 2 by the following command....
hive --service hiveserver2 &
Step 3:
Start spark server by the following command....
start-spark.sh
And finally check whether these are started or not by checking with the following command....
RunJar
ResourceManager
Master
NameNode
SecondaryNameNode
Worker
Jps
JobHistoryServer
DataNode
NodeManager
Step 4:
Start the master by the following command....
./sbin/start-master.sh
To stop the master use the below command.....
./sbin/stop-master.sh
Step 5:
Open a new terminal....
Start the beeline by the following path....
hadoop#localhost:/usr/local/hadoop/hive/bin$ beeline
After it asks for input... Pass the input which is listed below....
!connect jdbc:hive2://localhost:10000 hadoop "" org.apache.hive.jdbc.HiveDriver
After that set the SPARK by the following commands....
Note:set these configurations on a conf file so no need to run always....
set spark.master=spark://localhost:7077;
set hive.execution.engines=spark;
set spark.executor.memory=2g; // set the memory depends on your server
set spark.serializer=org.apache.spark.serializer.kryoSerializer;
set spark.io.compression.codec=org.apache.spark.io.LZFCompressionCodec;
After it asks for input.... Pass the Query which you want to retrieve the data.... and open a browser and check in the URL by the following command localhost:8080 You can see the Running Jobs and Completed Jobs in the URL....