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  • package org
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  • package apache
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  • package spark

    Core Spark functionality.

    Core Spark functionality. org.apache.spark.SparkContext serves as the main entry point to Spark, while org.apache.spark.rdd.RDD is the data type representing a distributed collection, and provides most parallel operations.

    In addition, org.apache.spark.rdd.PairRDDFunctions contains operations available only on RDDs of key-value pairs, such as groupByKey and join; org.apache.spark.rdd.DoubleRDDFunctions contains operations available only on RDDs of Doubles; and org.apache.spark.rdd.SequenceFileRDDFunctions contains operations available on RDDs that can be saved as SequenceFiles. These operations are automatically available on any RDD of the right type (e.g. RDD[(Int, Int)] through implicit conversions.

    Java programmers should reference the org.apache.spark.api.java package for Spark programming APIs in Java.

    Classes and methods marked with Experimental are user-facing features which have not been officially adopted by the Spark project. These are subject to change or removal in minor releases.

    Classes and methods marked with Developer API are intended for advanced users want to extend Spark through lower level interfaces. These are subject to changes or removal in minor releases.

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  • package api
    Definition Classes
    spark
  • package resource
    Definition Classes
    api
  • ResourceDiscoveryPlugin
t

org.apache.spark.api.resource

ResourceDiscoveryPlugin

trait ResourceDiscoveryPlugin extends AnyRef

:: DeveloperApi :: A plugin that can be dynamically loaded into a Spark application to control how custom resources are discovered. Plugins can be chained to allow different plugins to handle different resource types.

Plugins must implement the function discoveryResource.

Annotations
@DeveloperApi()
Source
ResourceDiscoveryPlugin.java
Since

3.0.0

Linear Supertypes
AnyRef, Any
Known Subclasses
ResourceDiscoveryScriptPlugin
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Abstract Value Members

  1. abstract def discoverResource(request: ResourceRequest, sparkConf: SparkConf): Optional[ResourceInformation]

    Discover the addresses of the requested resource.

    Discover the addresses of the requested resource.

    This method is called early in the initialization of the Spark Executor/Driver/Worker. This function is responsible for discovering the addresses of the resource which Spark will then use for scheduling and eventually providing to the user. Depending on the deployment mode and and configuration of custom resources, this could be called by the Spark Driver, the Spark Executors, in standalone mode the Workers, or all of them. The ResourceRequest has a ResourceID component that can be used to distinguish which component it is called from and what resource its being called for. This will get called once for each resource type requested and its the responsibility of this function to return enough addresses of that resource based on the request. If the addresses do not meet the requested amount, Spark will fail. If this plugin doesn't handle a particular resource, it should return an empty Optional and Spark will try other plugins and then last fall back to the default discovery script plugin.

    request

    The ResourceRequest that to be discovered.

    sparkConf

    SparkConf

    returns

    An Optional containing a ResourceInformation object containing the resource name and the addresses of the resource. If it returns Optional#EMPTY other plugins will be called.

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    Deprecated

    (Since version 9)

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