[SPARK-15210][SQL] Add missing @DeveloperApi annotation in sql.types
add DeveloperApi annotation for `AbstractDataType` `MapType` `UserDefinedType` local build Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #12982 from zhengruifeng/types_devapi.
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@ -20,6 +20,7 @@ package org.apache.spark.sql.types
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import scala.reflect.ClassTag
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import scala.reflect.runtime.universe.{runtimeMirror, TypeTag}
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import org.apache.spark.annotation.DeveloperApi
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import org.apache.spark.sql.catalyst.ScalaReflectionLock
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import org.apache.spark.sql.catalyst.expressions.Expression
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import org.apache.spark.util.Utils
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@ -141,6 +142,7 @@ protected[sql] abstract class AtomicType extends DataType {
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* :: DeveloperApi ::
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* Numeric data types.
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*/
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@DeveloperApi
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abstract class NumericType extends AtomicType {
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// Unfortunately we can't get this implicitly as that breaks Spark Serialization. In order for
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// implicitly[Numeric[JvmType]] to be valid, we have to change JvmType from a type variable to a
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@ -20,6 +20,7 @@ package org.apache.spark.sql.types
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import org.json4s.JsonAST.JValue
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import org.json4s.JsonDSL._
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import org.apache.spark.annotation.DeveloperApi
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/**
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* :: DeveloperApi ::
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@ -31,6 +32,7 @@ import org.json4s.JsonDSL._
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* @param valueType The data type of map values.
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* @param valueContainsNull Indicates if map values have `null` values.
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*/
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@DeveloperApi
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case class MapType(
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keyType: DataType,
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valueType: DataType,
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@ -96,11 +96,12 @@ abstract class UserDefinedType[UserType >: Null] extends DataType with Serializa
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}
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/**
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* ::DeveloperApi::
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* :: DeveloperApi ::
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* The user defined type in Python.
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*
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* Note: This can only be accessed via Python UDF, or accessed as serialized object.
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*/
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@DeveloperApi
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private[sql] class PythonUserDefinedType(
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val sqlType: DataType,
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override val pyUDT: String,
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