You can try broadcasting it. To avoid the not serializable problem I am
using Kryo, you can try the same.

Eugen


2013/11/20 Pranay Tonpay <[email protected]>

>  Jason.. I tried this, using Java code and it didn’t work still….
>
>
>
> Is there any workaround for this problem ?
>
>
>
> Thx
>
> pranay
>
>
>
> *From:* Jason Lenderman [mailto:[email protected]]
> *Sent:* Wednesday, November 13, 2013 12:14 PM
> *To:* [email protected]
> *Subject:* Re: is this possible in Spark? ( Serialization related)
>
>
>
> You probably want to look at the mapPartition method of RDD. The usage
> might look something like:
>
> data mapPartition {iter =>
>
>   val o = new Expensive()
>
>   for (x <- iter) {
>
>     o.foo(x)
>
>   }
>
>
> }
>
> Note that each split of data is processed using a single instance of
> Expensive.
>
> Another method of RDD that you want to be aware of is
> mapPartitionWithIndex. This method enables you to use the index of the
> split in your transformation of the Iterator.
>
>
>
> On Tue, Nov 12, 2013 at 7:43 PM, Pranay Tonpay <
> [email protected]> wrote:
>
> When I use Spark Streaming for real time analytics, there is a limitation
> that I encounter….
>
>
>
> *Scenario –*
>
> I have a third party class and have to use some APIs from that class.
>
> I invoke the object once in the driver method and pass this object to the
> map method and use the function of the object inside “call” method….
>
> I am able to do this, if the class is serializable… If it’s not, I am
> forced to create that object inside the call method itself which is a heavy
> operation because the constructor is pretty heavy… Remember that I am doing
> a real time analytics, so the number of times this would get invoked is
> very high and frequent … ( and since the class is a part of third party
> jar, making it Serializable is not convenient and may not be possible at
> all )..
>
>
>
> I know the reason for the need of serializabilty in Spark, but is there a
> way to get over the above limitation ( keeping Serialization intact)  … If
> you see, Storm does provide a way to handle this by providing a “prepare”
> function in a bolt, where I can create the object only once… If not, I
> think, it could be a very useful enhancement to have ( if possible )..
>
>
>
> Pls let me know
>
>
>
> Thx
>
> pranay
>
>
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