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/*
* 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.optimizer
import org.apache.spark.api.java.function.FilterFunction
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.plans.logical._
import org.apache.spark.sql.catalyst.rules._
/*
* This file defines optimization rules related to object manipulation (for the Dataset API).
*/
/**
* Removes cases where we are unnecessarily going between the object and serialized (InternalRow)
* representation of data item. For example back to back map operations.
*/
object EliminateSerialization extends Rule[LogicalPlan] {
def apply(plan: LogicalPlan): LogicalPlan = plan transform {
case d @ DeserializeToObject(_, _, s: SerializeFromObject)
if d.outputObjAttr.dataType == s.inputObjAttr.dataType =>
// Adds an extra Project here, to preserve the output expr id of `DeserializeToObject`.
// We will remove it later in RemoveAliasOnlyProject rule.
val objAttr = Alias(s.inputObjAttr, s.inputObjAttr.name)(exprId = d.outputObjAttr.exprId)
Project(objAttr :: Nil, s.child)
case a @ AppendColumns(_, _, _, _, _, s: SerializeFromObject)
if a.deserializer.dataType == s.inputObjAttr.dataType =>
AppendColumnsWithObject(a.func, s.serializer, a.serializer, s.child)
// If there is a `SerializeFromObject` under typed filter and its input object type is same with
// the typed filter's deserializer, we can convert typed filter to normal filter without
// deserialization in condition, and push it down through `SerializeFromObject`.
// e.g. `ds.map(...).filter(...)` can be optimized by this rule to save extra deserialization,
// but `ds.map(...).as[AnotherType].filter(...)` can not be optimized.
case f @ TypedFilter(_, _, _, _, s: SerializeFromObject)
if f.deserializer.dataType == s.inputObjAttr.dataType =>
s.copy(child = f.withObjectProducerChild(s.child))
// If there is a `DeserializeToObject` upon typed filter and its output object type is same with
// the typed filter's deserializer, we can convert typed filter to normal filter without
// deserialization in condition, and pull it up through `DeserializeToObject`.
// e.g. `ds.filter(...).map(...)` can be optimized by this rule to save extra deserialization,
// but `ds.filter(...).as[AnotherType].map(...)` can not be optimized.
case d @ DeserializeToObject(_, _, f: TypedFilter)
if d.outputObjAttr.dataType == f.deserializer.dataType =>
f.withObjectProducerChild(d.copy(child = f.child))
}
}
/**
* Combines two adjacent [[TypedFilter]]s, which operate on same type object in condition, into one,
* merging the filter functions into one conjunctive function.
*/
object CombineTypedFilters extends Rule[LogicalPlan] {
def apply(plan: LogicalPlan): LogicalPlan = plan transform {
case t1 @ TypedFilter(_, _, _, _, t2 @ TypedFilter(_, _, _, _, child))
if t1.deserializer.dataType == t2.deserializer.dataType =>
TypedFilter(
combineFilterFunction(t2.func, t1.func),
t1.argumentClass,
t1.argumentSchema,
t1.deserializer,
child)
}
private def combineFilterFunction(func1: AnyRef, func2: AnyRef): Any => Boolean = {
(func1, func2) match {
case (f1: FilterFunction[_], f2: FilterFunction[_]) =>
input => f1.asInstanceOf[FilterFunction[Any]].call(input) &&
f2.asInstanceOf[FilterFunction[Any]].call(input)
case (f1: FilterFunction[_], f2) =>
input => f1.asInstanceOf[FilterFunction[Any]].call(input) &&
f2.asInstanceOf[Any => Boolean](input)
case (f1, f2: FilterFunction[_]) =>
input => f1.asInstanceOf[Any => Boolean].apply(input) &&
f2.asInstanceOf[FilterFunction[Any]].call(input)
case (f1, f2) =>
input => f1.asInstanceOf[Any => Boolean].apply(input) &&
f2.asInstanceOf[Any => Boolean].apply(input)
}
}
}
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