This is just a friendly ping, just to remind you of my query.
Also, is there a possible explanation/example on the usage of
AsyncRDDActions in Java ?
On Thu, May 21, 2015 at 7:18 PM, Gautam Bajaj gautam1...@gmail.com wrote:
I am received data at UDP port 8060 and doing processing on it using
going to help either. The work is just going to keep piling up as many
many async jobs even though your batch processing times will be low as that
processing time is not going to reflect how much of overall work is pending
in the system.
On Wed, May 20, 2015 at 10:28 PM, Gautam Bajaj gautam1
Hi,
From my understanding of Spark Streaming, I created a spark entry point,
for continuous UDP data, using:
SparkConf conf = new
SparkConf().setMaster(local[2]).setAppName(NetworkWordCount);JavaStreamingContext
jssc = new JavaStreamingContext(conf, new
...@databricks.com wrote:
Well, that's why I had also suggested using a pool of the GraphDBService
objects :)
Also present in the programming guide link I had given.
TD
On Thu, Mar 12, 2015 at 7:38 PM, Gautam Bajaj gautam1...@gmail.com
wrote:
Thanks a ton! That worked.
However, this may have
it to send the whole partition to Neo4j
// Destroy the object or release it to the pool
})
On Thu, Mar 12, 2015 at 1:15 AM, Gautam Bajaj gautam1...@gmail.com
wrote:
Neo4j is running externally. It has nothing to do with Spark processes.
Basically, the problem is, I'm unable to figure out
Alright, I have also asked this question in StackOverflow:
http://stackoverflow.com/questions/28896898/using-neo4j-with-apache-spark
The code there is pretty neat.
On Thu, Mar 12, 2015 at 4:55 PM, Tathagata Das t...@databricks.com wrote:
I am not sure if you realized but the code snipper it
:58 AM, Gautam Bajaj gautam1...@gmail.com
wrote:
Alright, I have also asked this question in StackOverflow:
http://stackoverflow.com/questions/28896898/using-neo4j-with-apache-spark
The code there is pretty neat.
On Thu, Mar 12, 2015 at 4:55 PM, Tathagata Das t...@databricks.com
wrote:
I
anything.
On Thu, Mar 12, 2015 at 3:46 AM, Gautam Bajaj gautam1...@gmail.com
wrote:
Here: https://gist.github.com/d34th4ck3r/0c99d1e9fa288e0cc8ab
I'll add the flag and send you stack trace, I have meetings now.
On Thu, Mar 12, 2015 at 6:28 PM, Tathagata Das t...@databricks.com
wrote
Hi,
I'm new to Apache Storm.
I'm receiving data at my UDP port 8060, I want to capture it and perform
some operations in the real time, for which I'm using Spark Streaming. While
the code seems to be correct, I get the following output:
https://gist.github.com/d34th4ck3r/0e88896eac864d6d7193
