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author | Reynold Xin <rxin@databricks.com> | 2015-01-28 12:10:01 -0800 |
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committer | Reynold Xin <rxin@databricks.com> | 2015-01-28 12:10:01 -0800 |
commit | c8e934ef3cd06f02f9a2946e96a1a52293c22490 (patch) | |
tree | 4113fbfe9e22f50899b9c00e0267fa7fefd18c0c /sql/catalyst | |
parent | 453d7999b88be87bda30d9e73038eb484ee063bd (diff) | |
download | spark-c8e934ef3cd06f02f9a2946e96a1a52293c22490.tar.gz spark-c8e934ef3cd06f02f9a2946e96a1a52293c22490.tar.bz2 spark-c8e934ef3cd06f02f9a2946e96a1a52293c22490.zip |
[SPARK-5447][SQL] Replaced reference to SchemaRDD with DataFrame.
and
[SPARK-5448][SQL] Make CacheManager a concrete class and field in SQLContext
Author: Reynold Xin <rxin@databricks.com>
Closes #4242 from rxin/sqlCleanup and squashes the following commits:
e351cb2 [Reynold Xin] Fixed toDataFrame.
6545c42 [Reynold Xin] More changes.
728c017 [Reynold Xin] [SPARK-5447][SQL] Replaced reference to SchemaRDD with DataFrame.
Diffstat (limited to 'sql/catalyst')
-rw-r--r-- | sql/catalyst/src/main/scala/org/apache/spark/sql/types/dataTypes.scala | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/dataTypes.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/types/dataTypes.scala index 9f30f40a17..6ab99aa388 100644 --- a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/dataTypes.scala +++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/types/dataTypes.scala @@ -930,13 +930,13 @@ case class MapType( * * This interface allows a user to make their own classes more interoperable with SparkSQL; * e.g., by creating a [[UserDefinedType]] for a class X, it becomes possible to create - * a SchemaRDD which has class X in the schema. + * a `DataFrame` which has class X in the schema. * * For SparkSQL to recognize UDTs, the UDT must be annotated with * [[SQLUserDefinedType]]. * - * The conversion via `serialize` occurs when instantiating a `SchemaRDD` from another RDD. - * The conversion via `deserialize` occurs when reading from a `SchemaRDD`. + * The conversion via `serialize` occurs when instantiating a `DataFrame` from another RDD. + * The conversion via `deserialize` occurs when reading from a `DataFrame`. */ @DeveloperApi abstract class UserDefinedType[UserType] extends DataType with Serializable { |