spark UnwrapUDT 源码
spark UnwrapUDT 代码
文件路径:/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/UnwrapUDT.scala
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.sql.catalyst.expressions
import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
import org.apache.spark.sql.catalyst.expressions.codegen.{CodegenContext, ExprCode}
import org.apache.spark.sql.types.{DataType, UserDefinedType}
/**
* Unwrap UDT data type column into its underlying type.
*/
case class UnwrapUDT(child: Expression) extends UnaryExpression with NonSQLExpression {
override protected def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = child.genCode(ctx)
override def checkInputDataTypes(): TypeCheckResult = {
if (child.dataType.isInstanceOf[UserDefinedType[_]]) {
TypeCheckResult.TypeCheckSuccess
} else {
TypeCheckResult.TypeCheckFailure(
s"Input type should be UserDefinedType but got ${child.dataType.catalogString}")
}
}
override def dataType: DataType = child.dataType.asInstanceOf[UserDefinedType[_]].sqlType
override def nullSafeEval(input: Any): Any = input
override def prettyName: String = "unwrap_udt"
override protected def withNewChildInternal(newChild: Expression): UnwrapUDT = {
copy(child = newChild)
}
}
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