Running HiveQL queries using Apache Spark™ SQL

Spark SQL supports queries written using HiveQL, a SQL-like language that produces queries that are converted to Spark jobs. HiveQL is more mature and supports more complex queries than Spark SQL. To construct a HiveQL query, first create a new HiveContext instance, and then submit the queries by calling the sql method on the HiveContext instance.

See the Hive Language Manual for the full syntax of HiveQL.

Creating indexes with DEFERRED REBUILD is not supported in Spark SQL.

Procedure

Start the Spark shell.
```
bin/dse spark
```
Use the provided HiveContext instance sqlContext to create a new query in HiveQL by calling the sql method on the sqlContext object.
```
scala> val results = sqlContext.sql("SELECT * FROM my_keyspace.my_table")
```

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