I am a newbie as well to Spark. Been Hadoop/Hive/Oozie programming extensively
before this. I use Hadoop(Java MR code)/Hive/Impala/Presto on a daily basis.
To get me jumpstarted into Spark I started this gitHub where there is
"IntelliJ-ready-To-run" code (simple examples of jon, sparksql etc) and I will
keep adding to that. I dont know scala and I am learning that too to help me
use Spark better.https://github.com/sanjaysubramanian/msfx_scala.git
Philosophically speaking its possibly not a good idea to take an either/or
approach to technology...Like its never going to be either RDBMS or NOSQL (If
the Cassandra behind FB shows 100 fewer likes instead of 1000 on you Photo a
day for some reason u may not be as upset...but if the Oracle/Db2 systems
behind Wells Fargo show $100 LESS in your account due to an database error, you
will be PANIC-ing).
So its the same case with Spark or Hadoop. I can speak for myself. I have a
usecase for processing old logs that are multiline (i.e. they have a
[begin_timestamp_logid] and [end_timestamp_logid] and have many lines in
between. In Java Hadoop I created custom RecordReaders to solve this. I still
dont know how to do this in Spark. Till that time I am possibly gonna run the
Hadoop code within Oozie in production.
Also my current task is evangelizing Big Data at my company. So the tech people
I can educate with Hadoop and Spark and they would learn that but not the
business intelligence analysts. They love SQL so I have to educate them using
Hive , Presto, Impala...so the question is what is your task or tasks ?
Sorry , a long non technical answer to your question...
Make sense ?
sanjay
From: Krishna Sankar <[email protected]>
To: Sean Owen <[email protected]>
Cc: Guillermo Ortiz <[email protected]>; user <[email protected]>
Sent: Saturday, November 22, 2014 4:53 PM
Subject: Re: Spark or MR, Scala or Java?
Adding to already interesting answers:
- "Is there any case where MR is better than Spark? I don't know what cases
I should be used Spark by MR. When is MR faster than Spark?"
- Many. MR would be better (am not saying faster ;o)) for
- Very large dataset,
- Multistage map-reduce flows,
- Complex map-reduce semantics
- Spark is definitely better for the classic iterative,interactive workloads.
- Spark is very effective for implementing the concepts of in-memory
datasets & real time analytics
- Take a look at the Lambda architecture
- Also checkout how Ooyala is using Spark in multiple layers &
configurations. They also have MR in many places
- In our case, we found Spark very effective for ELT - we would have used MR
earlier
- "I know Java, is it worth it to learn Scala for programming to Spark or
it's okay just with Java?"
- Java will work fine. Especially when Java 8 becomes the norm, we will get
back some of the elegance
- I, personally, like Scala & Python lot better than Java. Scala is a lot
more elegant, but compilations, IDE integration et al are still clunky
- One word of caution - stick with one language as much as
possible-shuffling between Java & Scala is not fun
Cheers & HTH<k/>
On Sat, Nov 22, 2014 at 8:26 AM, Sean Owen <[email protected]> wrote:
MapReduce is simpler and narrower, which also means it is generally lighter
weight, with less to know and configure, and runs more predictably. If you have
a job that is truly just a few maps, with maybe one reduce, MR will likely be
more efficient. Until recently its shuffle has been more developed and offers
some semantics the Spark shuffle does not.I suppose it integrates with tools
like Oozie, that Spark does not. I suggest learning enough Scala to use Spark
in Scala. The amount you need to know is not large.(Mahout MR based
implementations do not run on Spark and will not. They have been removed
instead.)On Nov 22, 2014 3:36 PM, "Guillermo Ortiz" <[email protected]>
wrote:
Hello,
I'm a newbie with Spark but I've been working with Hadoop for a while.
I have two questions.
Is there any case where MR is better than Spark? I don't know what
cases I should be used Spark by MR. When is MR faster than Spark?
The other question is, I know Java, is it worth it to learn Scala for
programming to Spark or it's okay just with Java? I have done a little
piece of code with Java because I feel more confident with it,, but I
seems that I'm missed something
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