Hyukjin Kwon created SPARK-26646:
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Summary: Flaky test: pyspark.mllib.tests.test_streaming_algorithms
StreamingLogisticRegressionWithSGDTests.test_training_and_prediction
Key: SPARK-26646
URL: https://issues.apache.org/jira/browse/SPARK-26646
Project: Spark
Issue Type: Test
Components: MLlib, PySpark
Affects Versions: 3.0.0
Reporter: Hyukjin Kwon
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/101356/console
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/101358/console
{code}
======================================================================
FAIL: test_training_and_prediction
(pyspark.mllib.tests.test_streaming_algorithms.StreamingLogisticRegressionWithSGDTests)
Test that the model improves on toy data with no. of batches
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/mllib/tests/test_streaming_algorithms.py",
line 367, in test_training_and_prediction
self._eventually(condition, timeout=60.0)
File
"/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/mllib/tests/test_streaming_algorithms.py",
line 69, in _eventually
lastValue = condition()
File
"/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/mllib/tests/test_streaming_algorithms.py",
line 362, in condition
self.assertGreater(errors[1] - errors[-1], 0.3)
AssertionError: -0.070000000000000062 not greater than 0.3
----------------------------------------------------------------------
Ran 13 tests in 198.327s
FAILED (failures=1, skipped=1)
Had test failures in pyspark.mllib.tests.test_streaming_algorithms with
python3.4; see logs.
{code}
It apparently became less flaky after increasing the time at SPARK-26275 but
looks now it became flacky due to unexpected results.
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