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https://issues.apache.org/jira/browse/SPARK-5079?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14646441#comment-14646441
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Hunter Morgan commented on SPARK-5079:
--------------------------------------
I'm successfully using this pattern to test a stream element parsing helper.
{code:title=Sample test code|borderStyle=solid}
assumeThat("slf4j is bound to slf4j-test", StaticLoggerBinder.getSingleton().
getLoggerFactoryClassStr(),
is("uk.org.lidalia.slf4jtest.TestLoggerFactory"));
TestLogger logger = TestLoggerFactory.getTestLogger(
"org.apache.spark.scheduler.TaskSetManager");
logger.setEnabledLevelsForAllThreads(ImmutableSet.of(Level.ERROR));
// ...
List<LoggingEvent> failures = logger.getAllLoggingEvents().stream().
filter(loggingEvent -> loggingEvent.
getMessage().contains("failed")).
collect(Collectors.toList());
assertEquals("jobs didn't fail", 0, failures.size());
{code}
> Detect failed jobs / batches in Spark Streaming unit tests
> ----------------------------------------------------------
>
> Key: SPARK-5079
> URL: https://issues.apache.org/jira/browse/SPARK-5079
> Project: Spark
> Issue Type: Bug
> Components: Streaming
> Reporter: Josh Rosen
> Assignee: Ilya Ganelin
>
> Currently, it is possible to write Spark Streaming unit tests where Spark
> jobs fail but the streaming tests succeed because we rely on wall-clock time
> plus output comparision in order to check whether a test has passed, and
> hence may miss cases where errors occurred if they didn't affect these
> results. We should strengthen the tests to check that no job failures
> occurred while processing batches.
> See https://github.com/apache/spark/pull/3832#issuecomment-68580794 for
> additional context.
> The StreamingTestWaiter in https://github.com/apache/spark/pull/3801 might
> also fix this.
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