spark TransformExpression 源码
spark TransformExpression 代码
文件路径：/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/TransformExpression.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.connector.catalog.functions.BoundFunction
import org.apache.spark.sql.types.DataType
/**
* Represents a partition transform expression, for instance, `bucket`, `days`, `years`, etc.
*
* @param function the transform function itself. Spark will use it to decide whether two
* partition transform expressions are compatible.
* @param numBucketsOpt the number of buckets if the transform is `bucket`. Unset otherwise.
*/
case class TransformExpression(
function: BoundFunction,
children: Seq[Expression],
numBucketsOpt: Option[Int] = None) extends Expression with Unevaluable {
override def nullable: Boolean = true
/**
* Whether this [[TransformExpression]] has the same semantics as `other`.
* For instance, `bucket(32, c)` is equal to `bucket(32, d)`, but not to `bucket(16, d)` or
* `year(c)`.
*
* This will be used, for instance, by Spark to determine whether storage-partitioned join can
* be triggered, by comparing partition transforms from both sides of the join and checking
* whether they are compatible.
*
* @param other the transform expression to compare to
* @return true if this and `other` has the same semantics w.r.t to transform, false otherwise.
*/
def isSameFunction(other: TransformExpression): Boolean = other match {
case TransformExpression(otherFunction, _, otherNumBucketsOpt) =>
function.canonicalName() == otherFunction.canonicalName() &&
numBucketsOpt == otherNumBucketsOpt
case _ =>
false
}
override def dataType: DataType = function.resultType()
override protected def withNewChildrenInternal(newChildren: IndexedSeq[Expression]): Expression =
copy(children = newChildren)
}
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