foreachRDD is how I extracted values in the first place, so that’s not going to
make a difference. I don’t think it’s related to SPARK-1312 because I’m
generating data every second in the first place and I’m using foreachRDD right
after the window operation. The code looks something like
val batchInterval = 5
val windowInterval = 25
val slideInterval = 15
val windowedStream = inputStream.window(Seconds(windowInterval),
Seconds(slideInterval))
val outputFunc = (r: RDD[MetricEvent], t: Time) => {
println("======================================== %s".format(t.milliseconds /
1000))
r.foreach{metric =>
val timeKey = metric.timeStamp / batchInterval * batchInterval
println("%s %s %s %s".format(timeKey, metric.timeStamp, metric.name,
metric.value))
}
}
testWindow.foreachRDD(outputFunc)
On Jul 22, 2014, at 10:13 PM, Tathagata Das <tathagata.das1...@gmail.com> wrote:
> It could be related to this bug that is currently open.
> https://issues.apache.org/jira/browse/SPARK-1312
>
> Here is a workaround. Can you put a inputStream.foreachRDD(rdd => { }) and
> try these combos again?
>
> TD
>
>
> On Tue, Jul 22, 2014 at 6:01 PM, Alan Ngai <a...@opsclarity.com> wrote:
> I have a sample application pumping out records 1 per second. The batch
> interval is set to 5 seconds. Here’s a list of “observed window intervals”
> vs what was actually set
>
> window=25, slide=25 : observed-window=25, overlapped-batches=0
> window=25, slide=20 : observed-window=20, overlapped-batches=0
> window=25, slide=15 : observed-window=15, overlapped-batches=0
> window=25, slide=10 : observed-window=20, overlapped-batches=2
> window=25, slide=5 : observed-window=25, overlapped-batches=3
>
> can someone explain this behavior to me? I’m trying to aggregate metrics by
> time batches, but want to skip partial batches. Therefore, I’m trying to
> find a combination which results in 1 overlapped batch, but no combination I
> tried gets me there.
>
> Alan
>
>
