[
https://issues.apache.org/jira/browse/SPARK-26646?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon updated SPARK-26646:
---------------------------------
Description:
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/101356/console
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/101358/console
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/101254/console
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/100941/console
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/100327/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.
was:
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.
> 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
> Priority: Major
>
> https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/101356/console
> https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/101358/console
> https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/101254/console
> https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/100941/console
> https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/100327/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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