[SPARK-14721][SQL] Remove HiveContext (part 2)

## What changes were proposed in this pull request?

This removes the class `HiveContext` itself along with all code usages associated with it. The bulk of the work was already done in #12485. This is mainly just code cleanup and actually removing the class.

Note: A couple of things will break after this patch. These will be fixed separately.
- the python HiveContext
- all the documentation / comments referencing HiveContext
- there will be no more HiveContext in the REPL (fixed by #12589)

## How was this patch tested?

No change in functionality.

Author: Andrew Or <andrew@databricks.com>

Closes #12585 from andrewor14/delete-hive-context.

1 files changed, 5 insertions, 4 deletions

diff --git a/sql/hive/src/test/resources/regression-test-SPARK-8489/Main.scala b/sql/hive/src/test/resources/regression-test-SPARK-8489/Main.scala
index 2590040f2e..10a017df83 100644
--- a/sql/hive/src/test/resources/regression-test-SPARK-8489/Main.scala
+++ b/sql/hive/src/test/resources/regression-test-SPARK-8489/Main.scala
@@ -15,8 +15,8 @@
  * limitations under the License.
  */
 
-import org.apache.spark.{SparkConf, SparkContext}
-import org.apache.spark.sql.hive.HiveContext
+import org.apache.spark.SparkContext
+import org.apache.spark.sql.SparkSession
 
 /**
  * Entry point in test application for SPARK-8489.
@@ -28,15 +28,16 @@ import org.apache.spark.sql.hive.HiveContext
  *
  * This is used in org.apache.spark.sql.hive.HiveSparkSubmitSuite.
  */
+// TODO: actually rebuild this jar with the new changes.
 object Main {
   def main(args: Array[String]) {
     // scalastyle:off println
     println("Running regression test for SPARK-8489.")
     val sc = new SparkContext("local", "testing")
-    val hc = new HiveContext(sc)
+    val sparkSession = SparkSession.withHiveSupport(sc)
     // This line should not throw scala.reflect.internal.MissingRequirementError.
     // See SPARK-8470 for more detail.
-    val df = hc.createDataFrame(Seq(MyCoolClass("1", "2", "3")))
+    val df = sparkSession.createDataFrame(Seq(MyCoolClass("1", "2", "3")))
     df.collect()
     println("Regression test for SPARK-8489 success!")
     // scalastyle:on println