I am using hortonworks sandbox in Azure with spark 1.6. I have a Hive database populated with TPC-DS sample data. I want to read some SQL queries from external files and run them on the hive dataset in spark. I follow this topic Using hive database in spark which is just using a table in my dataset and also it writes SQL query in spark again, but I need to define whole, dataset as my source to query on that, I think i should use dataframes but i am not sure and do not know how! also I want to import the SQL query from external .sql file and do not write down the query again! would you please guide me how can I do this? thank you very much, bests!
how to use a whole hive database in spark and read sql queries from external files?
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Spark Can read data directly from Hive table. You can create, drop Hive table using Spark and even you can do all Hive hql related operations through the Spark. For this you need to use Spark
HiveContext
From the Spark documentation:
Spark HiveContext, provides a superset of the functionality provided by the basic SQLContext. Additional features include the ability to write queries using the more complete HiveQL parser, access to Hive UDFs, and the ability to read data from Hive tables. To use a HiveContext, you do not need to have an existing Hive setup.
For more information you can visit Spark Documentation
To Avoid writing sql in code, you can use property file where you can put all your Hive query and then you can use the key in you code.
Please see below the implementation of Spark HiveContext and use of property file in Spark Scala.
Entry in Properties File :
Spark submit Command to run this job:
Note: Property File location should be HDFS location.