thanks everyone, very helpful

On Fri, Oct 24, 2014 at 4:22 PM, Stephen Boesch <java...@gmail.com> wrote:

> Sean Owen beat me to (strongly) recommending running zinc server.  Using
> the -pl option is great too - but be careful to only use it when your work
> is restricted to the modules in the (comma separated) list you provide to
> -pl.   Also before using -pl you should do a  mvn compile package install
> on all modules.  Use the -pl after those steps are done - and then it is
> very effective.
>
> 2014-10-24 13:08 GMT-07:00 Sean Owen <so...@cloudera.com>:
>
>> On Fri, Oct 24, 2014 at 8:59 PM, Koert Kuipers <ko...@tresata.com> wrote:
>> > "mvn clean package -DskipTests" takes about 30 mins for me. thats
>> painful
>> > since its needed for the tests. does anyone know any tricks to speed it
>> up?
>> > (besides getting a better laptop). does zinc help?
>>
>> Zinc helps by about 50-100%. Worthwhile for sure. brew install zinc
>> and zinc -start
>>
>> > mvn test runs through the projects until one fails. then it skips the
>> rest!
>> > since its very likely that i get a failure in some subproject, this
>> means
>> > its nearly impossible to do a general test run and get a good sense of
>> the
>> > status of the project. for example:
>>
>> You can mvn test -pl [module] to test just one module.
>> It will also indicate to you that after a failure you can mvn test -rf
>> :[module] to continue where it left off -- you can use this to resume
>> at the next module.
>>
>> Or try "-Dscalatest.testFailureIgnore=true" if the mvn flags
>> themselves don't work, for continuing after a test failure.
>>
>> > [INFO]
>> > ------------------------------------------------------------------------
>> > [INFO] Reactor Summary:
>> > [INFO]
>> > [INFO] Spark Project Parent POM .......................... SUCCESS
>> [2.199s]
>> > [INFO] Spark Project Core ................................ SUCCESS
>> > [39:43.028s]
>> > [INFO] Spark Project Bagel ............................... SUCCESS
>> [42.569s]
>> > [INFO] Spark Project GraphX .............................. SUCCESS
>> > [3:22.104s]
>> > [INFO] Spark Project Streaming ........................... SUCCESS
>> > [7:12.592s]
>> > [INFO] Spark Project ML Library .......................... SUCCESS
>> > [10:32.682s]
>> > [INFO] Spark Project Tools ............................... SUCCESS
>> [17.070s]
>> > [INFO] Spark Project Catalyst ............................ SUCCESS
>> > [3:03.470s]
>> > [INFO] Spark Project SQL ................................. SUCCESS
>> > [5:23.993s]
>> > [INFO] Spark Project Hive ................................ FAILURE
>> > [2:08.387s]
>> > [INFO] Spark Project REPL ................................ SKIPPED
>> > [INFO] Spark Project Assembly ............................ SKIPPED
>> > [INFO] Spark Project External Twitter .................... SKIPPED
>> > [INFO] Spark Project External Kafka ...................... SKIPPED
>> > [INFO] Spark Project External Flume Sink ................. SKIPPED
>> > [INFO] Spark Project External Flume ...................... SKIPPED
>> > [INFO] Spark Project External ZeroMQ ..................... SKIPPED
>> > [INFO] Spark Project External MQTT ....................... SKIPPED
>> > [INFO] Spark Project Examples ............................ SKIPPED
>> >
>> > in this case i dont care about Hive, but i would have liked to see REPL
>> > run, and Kafka.
>>
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>>
>

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