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    root
  • package org
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    root
  • package apache
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    org
  • 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.

    Definition Classes
    apache
  • package sql

    Allows the execution of relational queries, including those expressed in SQL using Spark.

    Allows the execution of relational queries, including those expressed in SQL using Spark.

    Definition Classes
    spark
  • package util
    Definition Classes
    sql
  • ExecutionListenerManager
  • QueryExecutionListener
t

org.apache.spark.sql.util

QueryExecutionListener

trait QueryExecutionListener extends AnyRef

:: Experimental :: The interface of query execution listener that can be used to analyze execution metrics.

Annotations
@Experimental() @Evolving()
Note

Implementations should guarantee thread-safety as they can be invoked by multiple different threads.

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Abstract Value Members

  1. abstract def onFailure(funcName: String, qe: QueryExecution, exception: Exception): Unit

    A callback function that will be called when a query execution failed.

    A callback function that will be called when a query execution failed.

    funcName

    the name of the action that triggered this query.

    qe

    the QueryExecution object that carries detail information like logical plan, physical plan, etc.

    exception

    the exception that failed this query.

    Annotations
    @DeveloperApi()
    Note

    This can be invoked by multiple different threads.

  2. abstract def onSuccess(funcName: String, qe: QueryExecution, durationNs: Long): Unit

    A callback function that will be called when a query executed successfully.

    A callback function that will be called when a query executed successfully.

    funcName

    name of the action that triggered this query.

    qe

    the QueryExecution object that carries detail information like logical plan, physical plan, etc.

    durationNs

    the execution time for this query in nanoseconds.

    Annotations
    @DeveloperApi()
    Note

    This can be invoked by multiple different threads.

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