[jira] [Created] (SPARK-7160) Support converting DataFrames to typed RDDs.

["Ray Ortigas (JIRA)" <ji...@apache.org>]

Ray Ortigas created SPARK-7160:
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             Summary: Support converting DataFrames to typed RDDs.
                 Key: SPARK-7160
                 URL: https://issues.apache.org/jira/browse/SPARK-7160
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 1.3.1
            Reporter: Ray Ortigas


As a Spark user still working with RDDs, I'd like the ability to convert a DataFrame to a typed RDD.

For example, if I've converted RDDs to DataFrames so that I could save them as Parquet or CSV files, I would like to rebuild the RDD from those files automatically rather than writing the row-to-type conversion myself.

{code}
val rdd0 = sc.parallelize(Seq(Food("apple", 1), Food("banana", 2), Food("cherry", 3)))
val df0 = rdd0.toDF()
df0.save("foods.parquet")

val df1 = sqlContext.load("foods.parquet")
val rdd1 = df1.toTypedRDD[Food]()
// rdd0 and rdd1 should have the same elements
{code}

I originally submitted a smaller PR for spark-csv <https://github.com/databricks/spark-csv/pull/52>, but Reynold Xin suggested that converting a DataFrame to a typed RDD wasn't something specific to spark-csv.




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