,
Grace （Huang Jie)
From: Jason Dai [mailto:jason@gmail.com]
Sent: Wednesday, March 11, 2015 10:45 PM
To: Irfan Ahmad
Cc: Tobias Pfeiffer; Cheng, Hao; Mohit Anchlia; user@spark.apache.org; Shao,
Saisai; Dai, Jason; Huang, Jie
Subject: Re: SQL with Spark Streaming
Sorry typo; should be https
Hi,
On Thu, Mar 12, 2015 at 12:08 AM, Huang, Jie jie.hu...@intel.com wrote:
According to my understanding, your approach is to register a series of
tables by using transformWith, right? And then, you can get a new Dstream
(i.e., SchemaDstream), which consists of lots of SchemaRDDs.
Yep,
Yes, a previous prototype is available
https://github.com/Intel-bigdata/spark-streamsql, and a talk is given at
last year's Spark Summit (
http://spark-summit.org/2014/talk/streamsql-on-spark-manipulating-streams-by-sql-using-spark
)
We are currently porting the prototype to use the latest
Sorry typo; should be https://github.com/intel-spark/stream-sql
Thanks,
-Jason
On Wed, Mar 11, 2015 at 10:19 PM, Irfan Ahmad ir...@cloudphysics.com
wrote:
Got a 404 on that link: https://github.com/Intel-bigdata/spark-streamsql
*Irfan Ahmad*
CTO | Co-Founder | *CloudPhysics*
Got a 404 on that link: https://github.com/Intel-bigdata/spark-streamsql
*Irfan Ahmad*
CTO | Co-Founder | *CloudPhysics* http://www.cloudphysics.com
Best of VMworld Finalist
Best Cloud Management Award
NetworkWorld 10 Startups to Watch
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On Wed, Mar 11, 2015 at 6:41 AM,
Hi,
On Wed, Mar 11, 2015 at 9:33 AM, Cheng, Hao hao.ch...@intel.com wrote:
Intel has a prototype for doing this, SaiSai and Jason are the authors.
Probably you can ask them for some materials.
The github repository is here: https://github.com/intel-spark/stream-sql
Also, what I did is
Intel has a prototype for doing this, SaiSai and Jason are the authors.
Probably you can ask them for some materials.
From: Mohit Anchlia [mailto:mohitanch...@gmail.com]
Sent: Wednesday, March 11, 2015 8:12 AM
To: user@spark.apache.org
Subject: SQL with Spark Streaming
Does Spark Streaming also
