I am using Spark 1.3.1. So I don't have the 1.4.0 isEmpty. I guess I am
curious on the right approach here, like I said in my original post,
perhaps this isn't "bad" but I the "exceptions" I guess bother me from a
programmer level... is that wrong? :)
On Fri, Jun 5, 2015 at 11:07 AM, Ted Yu <yuzhih...@gmail.com> wrote:
> John:
> Which Spark release are you using ?
> As of 1.4.0, RDD has this method:
>
> def isEmpty(): Boolean = withScope {
>
> FYI
>
> On Fri, Jun 5, 2015 at 9:01 AM, Evo Eftimov <evo.efti...@isecc.com> wrote:
>
>> Foreachpartition callback is provided with Iterator by the Spark
>> Frameowrk – while iterator.hasNext() ……
>>
>>
>>
>> Also check whether this is not some sort of Python Spark API bug – Python
>> seems to be the foster child here – Scala and Java are the darlings
>>
>>
>>
>> *From:* John Omernik [mailto:j...@omernik.com]
>> *Sent:* Friday, June 5, 2015 4:08 PM
>> *To:* user
>> *Subject:* Spark Streaming for Each RDD - Exception on Empty
>>
>>
>>
>> Is there pythonic/sparkonic way to test for an empty RDD before using the
>> foreachRDD? Basically I am using the Python example
>> https://spark.apache.org/docs/latest/streaming-programming-guide.html to
>> "put records somewhere" When I have data, it works fine, when I don't I
>> get an exception. I am not sure about the performance implications of just
>> throwing an exception every time there is no data, but can I just test
>> before sending it?
>>
>>
>>
>> I did see one post mentioning look for take(1) from the stream to test
>> for data, but I am not sure where I put that in this example... Is that in
>> the lambda function? or somewhere else? Looking for pointers!
>>
>> Thanks!
>>
>>
>>
>>
>>
>>
>>
>> mydstream.foreachRDD(lambda rdd: rdd.foreachPartition(parseRDD))
>>
>>
>>
>>
>>
>> Using this example code from the link above:
>>
>>
>>
>> *def* sendPartition(iter):
>>
>> connection = createNewConnection()
>>
>> *for* record *in* iter:
>>
>> connection.send(record)
>>
>> connection.close()
>>
>>
>>
>> dstream.foreachRDD(*lambda* rdd: rdd.foreachPartition(sendPartition))
>>
>>
>
