spark UserDefinedPythonFunction 源码
spark UserDefinedPythonFunction 代码
文件路径：/sql/core/src/main/scala/org/apache/spark/sql/execution/python/UserDefinedPythonFunction.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.execution.python
import org.apache.spark.api.python.PythonFunction
import org.apache.spark.sql.Column
import org.apache.spark.sql.catalyst.expressions.{Expression, PythonUDF}
import org.apache.spark.sql.types.DataType
/**
* A user-defined Python function. This is used by the Python API.
*/
case class UserDefinedPythonFunction(
name: String,
func: PythonFunction,
dataType: DataType,
pythonEvalType: Int,
udfDeterministic: Boolean) {
def builder(e: Seq[Expression]): Expression = {
PythonUDF(name, func, dataType, e, pythonEvalType, udfDeterministic)
}
/** Returns a [[Column]] that will evaluate to calling this UDF with the given input. */
def apply(exprs: Column*): Column = {
val udf = builder(exprs.map(_.expr))
Column(udf)
}
}
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