uncleGen created SPARK-3712:
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Summary: add a new UpdateDStream to update a rdd dynamically
Key: SPARK-3712
URL: https://issues.apache.org/jira/browse/SPARK-3712
Project: Spark
Issue Type: Improvement
Components: Streaming
Reporter: uncleGen
Priority: Minor
Maybe, we can achieve the aim by using "forEachRdd" function. But I feel weird
in this way, because I need to pass a closure, like this:
val baseRdd = ...
var updatedRDD = ...
val inputStream = ...
val func = (rdd: RDD[T], t: Time) => {
updatedRDD = baseRDD.op(rdd)
}
inputStream.foreachRDD(func _)
In my PR, we can update a rdd like:
val updateStream = inputStream.updateRDD(baseRDD, func).asInstanceOf[T, V,
U]
and obtain the updatedRDD like this:
val updatedRDD = updateStream.getUpdatedRDD
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