Todd's withSessionDo suggestion seems like a better idea.
On Wed, Feb 17, 2016 at 12:25 AM, Abhishek Anand <abhis.anan...@gmail.com>
wrote:
> Hi Cody,
>
> I am able to do using this piece of code
>
> kafkaStreamRdd.foreachRDD((rdd,batchMilliSec) -> {
> Date currentBatchTime = new Date();
> currentBatchTime.setTime(batchMilliSec.milliseconds());
> List<OffsetsClass> r = new ArrayList();
> OffsetRange[] offsetRanges = ((HasOffsetRanges)rdd.rdd()).offsetRanges();
> for(int partition = 0; partition < offsetRanges.length; partition++){
> //Add offsets to the list
> }
> JavaSparkContext ctx = new JavaSparkContext(rdd.context());
> JavaRDD<OffsetsClass> currrentBatchOffsets = ctx.parallelize(r);
> //write currrentBatchOffsets rdd to cassandra
> return null;
> });
>
>
> Is this the correct way of doing this ?
>
>
> Thanks !!
> Abhi
>
> On Tue, Feb 16, 2016 at 9:31 PM, Cody Koeninger <c...@koeninger.org>
> wrote:
>
>> You could use sc.parallelize... but the offsets are already available at
>> the driver, and they're a (hopefully) small enough amount of data that's
>> it's probably more straightforward to just use the normal cassandra client
>> to save them from the driver.
>>
>> On Tue, Feb 16, 2016 at 1:15 AM, Abhishek Anand <abhis.anan...@gmail.com>
>> wrote:
>>
>>> I have a kafka rdd and I need to save the offsets to cassandra table at
>>> the begining of each batch.
>>>
>>> Basically I need to write the offsets of the type Offsets below that I
>>> am getting inside foreachRD, to cassandra. The javafunctions api to write
>>> to cassandra needs a rdd. How can I create a rdd from offsets and write to
>>> cassandra table.
>>>
>>>
>>> public static void writeOffsets(JavaPairDStream<String,
>>> String> kafkastream){
>>> kafkastream.foreachRDD((rdd,batchMilliSec) -> {
>>> OffsetRange[] offsets = ((HasOffsetRanges) rdd.rdd()).offsetRanges();
>>> return null;
>>> });
>>>
>>>
>>> Thanks !!
>>> Abhi
>>>
>>>
>>>
>>
>
