Spark - Task

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About

A task is a just thread executed by an executor on a slot (known as core in Spark).

The total number of slot is the number of thread available. See Spark - Core (Slot).

The number of Partitions dictate the number of tasks that are launched.

Spark Cluster Tasks Slot




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Spark Cluster
Spark - Cluster

A cluster in Spark has the following component: A spark application composed of a driver program which include the SparkContext (for RDD) or the Spark Session for a data frame which connect to a cluster...
Spark Cluster
Spark - Daemon

daemon in Spark The daemon in Spark are the driver that starts the executors. See The daemon in Spark are JVM running threads (known as core (or slot) one driver = 1 JVM many core one executor...
Rdd 5 Partition 3 Worker
Spark - Executor (formerly Worker)

When running on a cluster, each Spark application gets an independent set of executor JVMs that only run tasks and store data for that application. Worker or Executor are processes that run computations...
Spark Jobs
Spark - Jobs

Job in Spark. A job is a unit of task for an application. A job consists of tasks that will be executed by the workers in parallel where possible. A job is triggered by an action function.
Card Puncher Data Processing
Spark DataSet - Partition

org/apache/spark/sql/DataFrameWriterpartitionBy(scala.collection.Seq org/apache/spark/sql/DataFrameWriterpartitionBy(String... colNames) org/apache/spark/sql/DatasetforeachPartition(func) - Runs func...



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