Hi all,
I made some code changes in mllib project and as mentioned in the previous
mails I did
mvn install -pl mllib
Now I run a program in examples using run-example, the new code is not
executing.Instead the previous code itself is running.
But if I do an "mvn install" in the entire spark project , I can see the new
code running.But installing the entire spark takes a lot of time and so its
difficult to do this each time I make some changes.
Can someone tell me how to compile mllib alone and get the changes working?
Thanks & Regards,
Meethu M
On Friday, 28 November 2014 2:39 PM, MEETHU MATHEW
<meethu2...@yahoo.co.in> wrote:
Hi,I have a similar problem.I modified the code in mllib and examples.I did
mvn install -pl mllib mvn install -pl examples
But when I run the program in examples using run-example,the older version of
mllib (before the changes were made) is getting executed.How to get the changes
made in mllib while calling it from examples project? Thanks & Regards,
Meethu M
On Monday, 24 November 2014 3:33 PM, Yiming (John) Zhang
<sdi...@gmail.com> wrote:
Thank you, Marcelo and Sean, "mvn install" is a good answer for my demands.
-----邮件原件-----
发件人: Marcelo Vanzin [mailto:van...@cloudera.com]
发送时间: 2014年11月21日 1:47
收件人: yiming zhang
抄送: Sean Owen; user@spark.apache.org
主题: Re: How to incrementally compile spark examples using mvn
Hi Yiming,
On Wed, Nov 19, 2014 at 5:35 PM, Yiming (John) Zhang <sdi...@gmail.com> wrote:
> Thank you for your reply. I was wondering whether there is a method of
> reusing locally-built components without installing them? That is, if I have
> successfully built the spark project as a whole, how should I configure it so
> that I can incrementally build (only) the "spark-examples" sub project
> without the need of downloading or installation?
As Sean suggest, you shouldn't need to install anything. After "mvn install",
your local repo is a working Spark installation, and you can use spark-submit
and other tool directly within it.
You just need to remember to rebuild the assembly/ project when modifying Spark
code (or the examples/ project when modifying examples).
--
Marcelo
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