Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/9186#discussion_r43113846
--- Diff: python/pyspark/streaming/tests.py ---
@@ -398,6 +399,69 @@ def func(dstream):
self._test_func(input, func, expected)
+class StreamingListenerTests(PySparkStreamingTestCase):
+
+ duration = .5
+
+ class BatchInfoCollector(StreamingListener):
+
+ def __init__(self):
+ super(StreamingListener, self).__init__()
+ self.batchInfosCompleted = []
+ self.batchInfosStarted = []
+ self.batchInfosSubmitted = []
+
+ def onBatchSubmitted(self, batchSubmitted):
+
self.batchInfosSubmitted.append(self.getEventInfo(batchSubmitted))
+
+ def onBatchStarted(self, batchStarted):
+ self.batchInfosStarted.append(self.getEventInfo(batchStarted))
+
+ def onBatchCompleted(self, batchCompleted):
+
self.batchInfosCompleted.append(self.getEventInfo(batchCompleted))
+
+ def test_batch_info_reports(self):
+ batch_collector = self.BatchInfoCollector()
+ self.ssc.addStreamingListener(batch_collector)
+ input = [[1], [2], [3], [4]]
+
+ def func(dstream):
+ return dstream.map(int)
+ expected = [[1], [2], [3], [4]]
+ self._test_func(input, func, expected)
+
+ # Test occasionally fails without a delay
+ time.sleep(.1)
--- End diff --
Take a look at `PySparkStreamingTestCase.wait_for`. You can use it to wait
for the expected results or timeout.
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