TaskLocation represents a placement preference of an RDD partition, i.e. a hint of the location to submit scheduler:Task.md[tasks] for execution.
TaskLocations are tracked by scheduler:DAGScheduler.md#cacheLocs[DAGScheduler] for scheduler:DAGScheduler.md#submitMissingTasks[submitting missing tasks of a stage].
TaskLocation is available as scheduler:Task.md#preferredLocations[preferredLocations] of a task.
[[host]] Every TaskLocation describes the location by host name, but could also use other location-related metadata.
TaskLocations of an RDD and a partition is available using SparkContext.md#getPreferredLocs[SparkContext.getPreferredLocs] method.
TaskLocation is a Scala
private[spark] sealed trait so all the available implementations of TaskLocation trait are in a single Scala file.
== [[ExecutorCacheTaskLocation]] ExecutorCacheTaskLocation
ExecutorCacheTaskLocation describes a <
ExecutorCacheTaskLocation informs the Scheduler to prefer a given executor, but the next level of preference is any executor on the same host if this is not possible.
== [[HDFSCacheTaskLocation]] HDFSCacheTaskLocation
HDFSCacheTaskLocation describes a <
Used exclusively when rdd:spark-rdd-HadoopRDD.md#getPreferredLocations[HadoopRDD] and rdd:spark-rdd-NewHadoopRDD.md#getPreferredLocations[NewHadoopRDD] are requested for their placement preferences (aka preferred locations).
== [[HostTaskLocation]] HostTaskLocation
HostTaskLocation describes a <