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author | Reynold Xin <rxin@databricks.com> | 2016-03-28 16:26:32 -0700 |
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committer | Reynold Xin <rxin@databricks.com> | 2016-03-28 16:26:32 -0700 |
commit | b7836492bb0b5b430539d2bfa20bcc32e3fe3504 (patch) | |
tree | b0daae81a0bc6edae09d2e97128d06907272ef1f /sql/catalyst | |
parent | eebc8c1c95fb7752d09a5846b7cac65f7702c8f2 (diff) | |
download | spark-b7836492bb0b5b430539d2bfa20bcc32e3fe3504.tar.gz spark-b7836492bb0b5b430539d2bfa20bcc32e3fe3504.tar.bz2 spark-b7836492bb0b5b430539d2bfa20bcc32e3fe3504.zip |
[SPARK-14155][SQL] Hide UserDefinedType interface in Spark 2.0
## What changes were proposed in this pull request?
UserDefinedType is a developer API in Spark 1.x. With very high probability we will create a new API for user-defined type that also works well with column batches as well as encoders (datasets). In Spark 2.0, let's make `UserDefinedType` `private[spark]` first.
## How was this patch tested?
Existing unit tests.
Author: Reynold Xin <rxin@databricks.com>
Closes #11955 from rxin/SPARK-14155.
Diffstat (limited to 'sql/catalyst')
-rw-r--r-- | sql/catalyst/src/main/scala/org/apache/spark/sql/types/UserDefinedType.scala | 6 |
1 files changed, 4 insertions, 2 deletions
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/UserDefinedType.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/types/UserDefinedType.scala index dabf9a2fc0..fb7251d71b 100644 --- a/sql/catalyst/src/main/scala/org/apache/spark/sql/types/UserDefinedType.scala +++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/types/UserDefinedType.scala @@ -23,7 +23,6 @@ import org.json4s.JsonDSL._ import org.apache.spark.annotation.DeveloperApi /** - * ::DeveloperApi:: * The data type for User Defined Types (UDTs). * * This interface allows a user to make their own classes more interoperable with SparkSQL; @@ -35,8 +34,11 @@ import org.apache.spark.annotation.DeveloperApi * * The conversion via `serialize` occurs when instantiating a `DataFrame` from another RDD. * The conversion via `deserialize` occurs when reading from a `DataFrame`. + * + * Note: This was previously a developer API in Spark 1.x. We are making this private in Spark 2.0 + * because we will very likely create a new version of this that works better with Datasets. */ -@DeveloperApi +private[spark] abstract class UserDefinedType[UserType >: Null] extends DataType with Serializable { /** Underlying storage type for this UDT */ |