Hi,
Thanks I will try to implement it.
Regards,
Laeeq
On Saturday, July 12, 2014 4:37 AM, Tathagata Das
<tathagata.das1...@gmail.com> wrote:
This is not in the current streaming API.
Queue stream is useful for testing with generated RDDs, but not for actual
data. For actual data stream, the slack time can be implemented by doing
DStream.window on a larger window that take slack time in consideration, and
then the required application-time-based-window of data filtered out. For
example, if you want a slack time of 1 minute and batches of 10 seconds, then
do a window operation of 70 seconds, then in each RDD filter out the records
with the desired application time and process them.
TD
On Fri, Jul 11, 2014 at 7:44 AM, Laeeq Ahmed <laeeqsp...@yahoo.com> wrote:
Hi,
>
>
>In the spark streaming paper, "slack time" has been suggested for delaying the
>batch creation in case of external timestamps. I don't see any such option in
>streamingcontext. Is it available in the API?
>
>
>
>Also going through the previous posts, queueStream has been suggested for
>this. I looked into to queueStream example.
>
>
>
> // Create and push some RDDs into Queue
> for (i <- 1 to 30) {
> rddQueue += ssc.sparkContext.makeRDD(1 to 10)
> Thread.sleep(1000)
> }
>
>The only thing I am unsure is how to make batches(basic RDD) out of stream
>coming on a port.
>
>
>Regards,
>Laeeq
>
>
