HeartSaVioR commented on code in PR #38008:
URL: https://github.com/apache/spark/pull/38008#discussion_r980664896
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python/pyspark/sql/tests/test_pandas_grouped_map_with_state.py:
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@@ -90,6 +107,99 @@ def check_results(batch_df, _):
self.assertTrue(q.isActive)
q.processAllAvailable()
+ def test_apply_in_pandas_with_state_python_worker_random_failure(self):
+ output_path = tempfile.mkdtemp()
+ checkpoint_loc = tempfile.mkdtemp()
+ shutil.rmtree(output_path)
+ shutil.rmtree(checkpoint_loc)
+
+ def run_query():
+ df = self.spark.readStream.format("text") \
+ .option("maxFilesPerTrigger", "1") \
Review Comment:
This query runs 10 batches from 10 files, which each file has 100 words.
1000 words in overall.
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