Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/2576#discussion_r18765864
--- Diff:
examples/src/main/scala/org/apache/spark/examples/sql/hive/HiveFromSpark.scala
---
@@ -62,6 +62,16 @@ object HiveFromSpark {
println("Result of SELECT *:")
sql("SELECT * FROM records r JOIN src s ON r.key =
s.key").collect().foreach(println)
+ // Write out an RDD as a orc file.
+ rdd.saveAsOrcFile("pair.orc")
+
+ // Read in orc file. Orc files are self-describing so the schmema is
preserved.
+ val orcFile = hiveContext.orcFile("pair.orc")
+
+ // These files can also be registered as tables.
+ orcFile.registerTempTable("orcFile")
+ sql("SELECT * FROM records r JOIN orcFile s ON r.key =
s.key").collect().foreach(println)
+
--- End diff --
I think test cases and documentation can be better places to illustrate the
API usage. This example is used to illustrate how Spark SQL cooperates with
Hive. And with this PR, we don't need Hive (Metastore) to access ORC files.
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