spark ComplexTypes 源码

  • 2022-10-20
  • 浏览 (261)

spark ComplexTypes 代码

文件路径:/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/ComplexTypes.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.optimizer

import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
import org.apache.spark.sql.catalyst.rules.Rule
import org.apache.spark.sql.catalyst.trees.TreePattern._

/**
 * Simplify redundant [[CreateNamedStruct]], [[CreateArray]] and [[CreateMap]] expressions.
 */
object SimplifyExtractValueOps extends Rule[LogicalPlan] {
  override def apply(plan: LogicalPlan): LogicalPlan = plan.transformWithPruning(
    _.containsPattern(EXTRACT_VALUE), ruleId) {
    case p => p.transformExpressionsUpWithPruning(_.containsPattern(EXTRACT_VALUE), ruleId) {
      // Remove redundant field extraction.
      case GetStructField(createNamedStruct: CreateNamedStruct, ordinal, _) =>
        createNamedStruct.valExprs(ordinal)
      case GetStructField(u: UpdateFields, ordinal, _)if !u.structExpr.isInstanceOf[UpdateFields] =>
        val structExpr = u.structExpr
        u.newExprs(ordinal) match {
          // if the struct itself is null, then any value extracted from it (expr) will be null
          // so we don't need to wrap expr in If(IsNull(struct), Literal(null, expr.dataType), expr)
          case expr: GetStructField if expr.child.semanticEquals(structExpr) => expr
          case expr =>
            if (structExpr.nullable) {
              If(IsNull(structExpr), Literal(null, expr.dataType), expr)
            } else {
              expr
            }
        }
      // Remove redundant array indexing.
      case GetArrayStructFields(CreateArray(elems, useStringTypeWhenEmpty), field, ordinal, _, _) =>
        // Instead of selecting the field on the entire array, select it from each member
        // of the array. Pushing down the operation this way may open other optimizations
        // opportunities (i.e. struct(...,x,...).x)
        CreateArray(elems.map(GetStructField(_, ordinal, Some(field.name))), useStringTypeWhenEmpty)

      // Remove redundant map lookup.
      case ga @ GetArrayItem(CreateArray(elems, _), IntegerLiteral(idx), _) =>
        // Instead of creating the array and then selecting one row, remove array creation
        // altogether.
        if (idx >= 0 && idx < elems.size) {
          // valid index
          elems(idx)
        } else {
          // out of bounds, mimic the runtime behavior and return null
          Literal(null, ga.dataType)
        }
      case GetMapValue(CreateMap(elems, _), key) => CaseKeyWhen(key, elems)
    }
  }
}

相关信息

spark 源码目录

相关文章

spark CostBasedJoinReorder 源码

spark DecorrelateInnerQuery 源码

spark EliminateResolvedHint 源码

spark InjectRuntimeFilter 源码

spark InlineCTE 源码

spark LimitPushDownThroughWindow 源码

spark MergeScalarSubqueries 源码

spark NestedColumnAliasing 源码

spark NormalizeFloatingNumbers 源码

spark OptimizeCsvJsonExprs 源码

0  赞