
Caching and Persistence spark cache persist区别 spark cache用法 spark cache释放
RDD Caching and Persistence cache和persist都是用于将一个RDD进行缓存的,这样在之后使用的过程中就不需要重新计算了, ...

RDD Caching and Persistence cache和persist都是用于将一个RDD进行缓存的,这样在之后使用的过程中就不需要重新计算了, ...

Actions Actions are RDD operations that produce non-RDD values. They materialize a value in a Spark program. In ot ...

PairRDDFunctions Tip Read up the scaladoc of PairRDDFunctions. PairRDDFunctions are available in RDDs of ...

Transformations Transformations are lazy operations on a RDD that create one or many new RDDs, e.g. map, filter, ...

Operators - Transformations and Actions RDDs have two types of operations: transformations and actions. Note ...

ShuffledRDD ShuffledRDD is an RDD of key-value pairs that represents the shuffle step in a RDD lineage. It uses cu ...

NewHadoopRDD NewHadoopRDD is an RDD of K keys and V values. NewHadoopRDD is created when: SparkContext.newAP ...

HadoopRDD HadoopRDD is an RDD that provides core functionality for reading data stored in HDFS, a local file syste ...

SubtractedRDD Caution FIXME Computing Partition (in TaskContext) — compute Method [cr ...

CoGroupedRDD A RDD that cogroups its pair RDD parents. For each key k in parent RDDs, the resulting RDD contains a ...