GitHub user uncleGen opened a pull request:
https://github.com/apache/spark/pull/2562
[SPARK-3712][STREAMING]: add a new UpdateDStream to update a rdd dynamically
Maybe, we can achieve the aim by using "forEachRdd" function. But it is
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[U,
V, T]
and obtain the updatedRDD like this:
val updatedRDD = updateStream.getUpdatedRDD
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/uncleGen/spark master-clean-14928
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/2562.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #2562
----
commit 265c941fe1b7cd164eef11c58f622a0c434a229b
Author: uncleGen <husty...@gmail.com>
Date: 2014-09-28T07:48:20Z
[STREAMING]: add a new UpdateDStream to update a rdd dynamically
commit b5cdb62410c3461115e76a9549f160460b63b8fb
Author: uncleGen <husty...@gmail.com>
Date: 2014-09-28T10:37:40Z
fix test
commit 41d9a952d39f8bc64a38312856ab57e304a59382
Author: uncleGen <husty...@gmail.com>
Date: 2014-09-28T10:40:37Z
clerical error
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