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From Benjamin Kim <b...@amobee.com>
Subject Re: Spark on Kudu
Date Tue, 01 Mar 2016 19:00:13 GMT
Hi J-D,

Quick question… Is there an ETA for KUDU-1214? I want to target a version of Kudu to begin
real testing of Spark against it for our devs. At least, I can tell them what timeframe to

Just curious,
Benjamin Kim
Data Solutions Architect

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On Feb 24, 2016, at 3:51 PM, Jean-Daniel Cryans <jdcryans@apache.org<mailto:jdcryans@apache.org>>

The DStream stuff isn't there at all. I'm not sure if it's needed either.

The kuduRDD is just leveraging the MR input format, ideally we'd use scans directly.

The SparkSQL stuff is there but it doesn't do any sort of pushdown. It's really basic.

The goal was to provide something for others to contribute to. We have some basic unit tests
that others can easily extend. None of us on the team are Spark experts, but we'd be really
happy to assist one improve the kudu-spark code.


On Wed, Feb 24, 2016 at 3:41 PM, Benjamin Kim <bbuild11@gmail.com<mailto:bbuild11@gmail.com>>

It looks like it fulfills most of the basic requirements (kudu RDD, kudu DStream) in KUDU-1214.
Am I right? Besides shoring up more Spark SQL functionality (Dataframes) and doing the documentation,
what more needs to be done? Optimizations?

I believe that it’s a good place to start using Spark with Kudu and compare it to HBase
with Spark (not clean).


On Feb 24, 2016, at 3:10 PM, Jean-Daniel Cryans <jdcryans@apache.org<mailto:jdcryans@apache.org>>

AFAIK no one is working on it, but we did manage to get this in for 0.7.0: https://issues.cloudera.org/browse/KUDU-1321

It's a really simple wrapper, and yes you can use SparkSQL on Kudu, but it will require a
lot more work to make it fast/useful.

Hope this helps,


On Wed, Feb 24, 2016 at 3:08 PM, Benjamin Kim <bbuild11@gmail.com<mailto:bbuild11@gmail.com>>
I see this KUDU-1214<https://issues.cloudera.org/browse/KUDU-1214> targeted for 0.8.0,
but I see no progress on it. When this is complete, will this mean that Spark will be able
to work with Kudu both programmatically and as a client via Spark SQL? Or is there more work
that needs to be done on the Spark side for it to work?

Just curious.


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