Another option might be Flink Spector [1].
Cheers, Fabian
[1] https://github.com/ottogroup/flink-spector
2017-04-23 20:01 GMT+02:00 Georg Heiler :
> Thanks
> Konstantin Knauf schrieb am So. 23. Apr.
> 2017 um 19:39:
>
>> + user@flink (somehow I didn't reply to the list)
>>
>> Hi Georg,
>>
>> t
Thanks
Konstantin Knauf schrieb am So. 23. Apr.
2017 um 19:39:
> + user@flink (somehow I didn't reply to the list)
>
> Hi Georg,
>
> there are two classes "MultipleProgramsTestBase" and
> "StreamingMultipeProgramsTestBase", which your integration tests can
> extend from.
>
> This will spin up a l
+ user@flink (somehow I didn't reply to the list)
Hi Georg,
there are two classes "MultipleProgramsTestBase" and
"StreamingMultipeProgramsTestBase", which your integration tests can
extend from.
This will spin up a local Flink Mini-Cluster before the test execution
and tear it down afterwards.
Hi Georg,
Have a look at (Streaming)MultipleProgramsTestBase
(https://github.com/apache/flink/blob/master/flink-test-utils-parent/flink-test-utils/src/main/java/org/apache/flink/streaming/util/StreamingMultipleProgramsTestBase.java
|
https://github.com/apache/flink/blob/master/flink-test-utils-
Spark testing base https://github.com/holdenk/spark-testing-base offers
some Base classes to use when writing tests with Spark which make it
simpler to write unit tests for functions in spark i.e. you do not manually
need to instantiate a spark context / flink execution environment for each
test ca
Please give more context by describing what spark-test-base does :-)
> On Apr 22, 2017, at 10:57 PM, Georg Heiler wrote:
>
> Hi,
>
> is there something like spark-testing-base for flink as well?
>
> Cheers,
> Georg
