spark RDDOperationScope 源码
spark RDDOperationScope 代码
文件路径:/core/src/main/scala/org/apache/spark/rdd/RDDOperationScope.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.rdd
import java.util.concurrent.atomic.AtomicInteger
import com.fasterxml.jackson.annotation.{JsonIgnore, JsonInclude, JsonPropertyOrder}
import com.fasterxml.jackson.annotation.JsonInclude.Include
import com.fasterxml.jackson.databind.ObjectMapper
import com.fasterxml.jackson.module.scala.DefaultScalaModule
import com.google.common.base.Objects
import org.apache.spark.SparkContext
import org.apache.spark.internal.Logging
/**
* A general, named code block representing an operation that instantiates RDDs.
*
* All RDDs instantiated in the corresponding code block will store a pointer to this object.
* Examples include, but will not be limited to, existing RDD operations, such as textFile,
* reduceByKey, and treeAggregate.
*
* An operation scope may be nested in other scopes. For instance, a SQL query may enclose
* scopes associated with the public RDD APIs it uses under the hood.
*
* There is no particular relationship between an operation scope and a stage or a job.
* A scope may live inside one stage (e.g. map) or span across multiple jobs (e.g. take).
*/
@JsonInclude(Include.NON_ABSENT)
@JsonPropertyOrder(Array("id", "name", "parent"))
private[spark] class RDDOperationScope(
val name: String,
val parent: Option[RDDOperationScope] = None,
val id: String = RDDOperationScope.nextScopeId().toString) {
def toJson: String = {
RDDOperationScope.jsonMapper.writeValueAsString(this)
}
/**
* Return a list of scopes that this scope is a part of, including this scope itself.
* The result is ordered from the outermost scope (eldest ancestor) to this scope.
*/
@JsonIgnore
def getAllScopes: Seq[RDDOperationScope] = {
parent.map(_.getAllScopes).getOrElse(Seq.empty) ++ Seq(this)
}
override def equals(other: Any): Boolean = {
other match {
case s: RDDOperationScope =>
id == s.id && name == s.name && parent == s.parent
case _ => false
}
}
override def hashCode(): Int = Objects.hashCode(id, name, parent)
override def toString: String = toJson
}
/**
* A collection of utility methods to construct a hierarchical representation of RDD scopes.
* An RDD scope tracks the series of operations that created a given RDD.
*/
private[spark] object RDDOperationScope extends Logging {
private val jsonMapper = new ObjectMapper().registerModule(DefaultScalaModule)
private val scopeCounter = new AtomicInteger(0)
def fromJson(s: String): RDDOperationScope = {
jsonMapper.readValue(s, classOf[RDDOperationScope])
}
/** Return a globally unique operation scope ID. */
def nextScopeId(): Int = scopeCounter.getAndIncrement
/**
* Execute the given body such that all RDDs created in this body will have the same scope.
* The name of the scope will be the first method name in the stack trace that is not the
* same as this method's.
*
* Note: Return statements are NOT allowed in body.
*/
private[spark] def withScope[T](
sc: SparkContext,
allowNesting: Boolean = false)(body: => T): T = {
val ourMethodName = "withScope"
val callerMethodName = Thread.currentThread.getStackTrace()
.dropWhile(_.getMethodName != ourMethodName)
.find(_.getMethodName != ourMethodName)
.map(_.getMethodName)
.getOrElse {
// Log a warning just in case, but this should almost certainly never happen
logWarning("No valid method name for this RDD operation scope!")
"N/A"
}
withScope[T](sc, callerMethodName, allowNesting, ignoreParent = false)(body)
}
/**
* Execute the given body such that all RDDs created in this body will have the same scope.
*
* If nesting is allowed, any subsequent calls to this method in the given body will instantiate
* child scopes that are nested within our scope. Otherwise, these calls will take no effect.
*
* Additionally, the caller of this method may optionally ignore the configurations and scopes
* set by the higher level caller. In this case, this method will ignore the parent caller's
* intention to disallow nesting, and the new scope instantiated will not have a parent. This
* is useful for scoping physical operations in Spark SQL, for instance.
*
* Note: Return statements are NOT allowed in body.
*/
private[spark] def withScope[T](
sc: SparkContext,
name: String,
allowNesting: Boolean,
ignoreParent: Boolean)(body: => T): T = {
// Save the old scope to restore it later
val scopeKey = SparkContext.RDD_SCOPE_KEY
val noOverrideKey = SparkContext.RDD_SCOPE_NO_OVERRIDE_KEY
val oldScopeJson = sc.getLocalProperty(scopeKey)
val oldScope = Option(oldScopeJson).map(RDDOperationScope.fromJson)
val oldNoOverride = sc.getLocalProperty(noOverrideKey)
try {
if (ignoreParent) {
// Ignore all parent settings and scopes and start afresh with our own root scope
sc.setLocalProperty(scopeKey, new RDDOperationScope(name).toJson)
} else if (sc.getLocalProperty(noOverrideKey) == null) {
// Otherwise, set the scope only if the higher level caller allows us to do so
sc.setLocalProperty(scopeKey, new RDDOperationScope(name, oldScope).toJson)
}
// Optionally disallow the child body to override our scope
if (!allowNesting) {
sc.setLocalProperty(noOverrideKey, "true")
}
body
} finally {
// Remember to restore any state that was modified before exiting
sc.setLocalProperty(scopeKey, oldScopeJson)
sc.setLocalProperty(noOverrideKey, oldNoOverride)
}
}
}
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